pax_global_header00006660000000000000000000000064141666612240014522gustar00rootroot0000000000000052 comment=bc1d43524f9f0c38ccc5285d1f3fa02c37339372 intake-0.6.5/000077500000000000000000000000001416666122400130055ustar00rootroot00000000000000intake-0.6.5/.ci-coveragerc000066400000000000000000000000451416666122400155160ustar00rootroot00000000000000[run] omit = *tests/*, */_version.py intake-0.6.5/.coveragerc000066400000000000000000000001551416666122400151270ustar00rootroot00000000000000[run] omit = */tests/* */test_*.py *_version.py source = intake [report] show_missing = True intake-0.6.5/.gitattributes000066400000000000000000000000401416666122400156720ustar00rootroot00000000000000intake/_version.py export-subst intake-0.6.5/.github/000077500000000000000000000000001416666122400143455ustar00rootroot00000000000000intake-0.6.5/.github/workflows/000077500000000000000000000000001416666122400164025ustar00rootroot00000000000000intake-0.6.5/.github/workflows/main.yaml000066400000000000000000000015471416666122400202210ustar00rootroot00000000000000name: CI on: push: branches: "*" pull_request: branches: master jobs: test: name: ${{ matrix.CONDA_ENV }}-pytest runs-on: ubuntu-latest strategy: fail-fast: false matrix: CONDA_ENV: [py37, py38, py39, pip] steps: - name: Checkout uses: actions/checkout@v2 - name: Setup Miniconda uses: conda-incubator/setup-miniconda@v2.1.1 with: auto-update-conda: false mamba-version: "*" channels: conda-forge,defaults auto-activate-base: false activate-environment: test_env environment-file: scripts/ci/environment-${{ matrix.CONDA_ENV }}.yml - name: pip-install shell: bash -l {0} run: | pip install . --no-deps - name: Run Tests shell: bash -l {0} run: | pytest -v intake-0.6.5/.github/workflows/pypipublish.yaml000066400000000000000000000012321416666122400216340ustar00rootroot00000000000000name: Upload Python Package on: release: types: [created] jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v2 with: python-version: "3.x" - name: Install dependencies run: | python -m pip install --upgrade pip pip install setuptools setuptools-scm wheel twine - name: Build and publish env: TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }} TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} run: | python setup.py sdist bdist_wheel twine upload dist/* intake-0.6.5/.gitignore000066400000000000000000000022561416666122400150020ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python env/ build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ *.egg-info/ .installed.cfg *.egg # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .coverage .coverage.* .cache .pytest_cache nosetests.xml coverage.xml *.cover .hypothesis/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # pyenv .python-version # celery beat schedule file celerybeat-schedule # SageMath parsed files *.sage.py # dotenv .env # virtualenv .venv venv/ ENV/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ # jetbrains/pycharm .idea/intake-0.6.5/LICENSE000066400000000000000000000024061416666122400140140ustar00rootroot00000000000000Copyright (c) 2017, Anaconda, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. intake-0.6.5/MANIFEST.in000066400000000000000000000010251416666122400145410ustar00rootroot00000000000000recursive-include intake *.html recursive-include intake *.csv recursive-include intake *.npy recursive-include intake *.yml recursive-include intake *.yaml recursive-include intake *.zip recursive-include intake *.png recursive-include templates * include versioneer.py include intake/_version.py include requirements.txt include setup.py include LICENSE include intake/cli/sample/* prune **/tests/** prune docs recursive-include intake/source/tests/plugin_searchpath *.py recursive-include intake/catalog/tests/catalog_search * intake-0.6.5/README.md000066400000000000000000000051031416666122400142630ustar00rootroot00000000000000# Intake: A general interface for loading data ![Logo](https://github.com/intake/intake/raw/master/logo-small.png) [![Build Status](https://github.com/intake/intake/workflows/CI/badge.svg)](https://github.com/intake/intake/actions) [![Documentation Status](https://readthedocs.org/projects/intake/badge/?version=latest)](http://intake.readthedocs.io/en/latest/?badge=latest) [![Join the chat at https://gitter.im/ContinuumIO/intake](https://badges.gitter.im/ContinuumIO/intake.svg)](https://gitter.im/ContinuumIO/intake?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: * Load data from a variety of formats (see the [current list of known plugins](http://intake.readthedocs.io/en/latest/plugin-directory.html)) into containers you already know, like Pandas dataframes, Python lists, NumPy arrays, and more. * Convert boilerplate data loading code into reusable Intake plugins * Describe data sets in catalog files for easy reuse and sharing between projects and with others. * Share catalog information (and data sets) over the network with the Intake server Documentation is available at [Read the Docs](http://intake.readthedocs.io/en/latest). Status of intake and related packages is available at [Status Dashboard](https://intake.github.io/status) Weekly news about this repo and other related projects can be found on the [wiki](https://github.com/intake/intake/wiki/Community-News) Install ------- Recommended method using conda: ```bash conda install -c conda-forge intake ``` You can also install using `pip`, in which case you have a choice as to how many of the optional dependencies you install, with the simplest having least requirements ```bash pip install intake ``` and additional sections `[server]`, `[plot]` and `[dataframe]`, or to include everything: ```bash pip install intake[complete] ``` Note that you may well need specific drivers and other plugins, which usually have additional dependencies of their own. Development ----------- * Create development Python environment with the required dependencies, ideally with `conda`. The requirements can be found in the yml files in the `scripts/ci/` directory of this repo. * e.g. `conda env create -f scripts/ci/environment-py38.yml` and then `conda activate test_env` * Install intake using `pip install -e .[complete]` * Use `pytest` to run tests. * Create a fork on github to be able to submit PRs. * We respect, but do not enforce, pep8 standards; all new code should be covered by tests. intake-0.6.5/docs/000077500000000000000000000000001416666122400137355ustar00rootroot00000000000000intake-0.6.5/docs/Makefile000066400000000000000000000011401416666122400153710ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build SPHINXPROJ = intake SOURCEDIR = source BUILDDIR = build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) intake-0.6.5/docs/README.md000066400000000000000000000013331416666122400152140ustar00rootroot00000000000000# Building Documentation An environment with several prerequisites is needed to build the documentation. Create this with: ## First option for environment ```bash conda create -n intake python=3.6 pandas dask python-snappy appdirs -c conda-forge -y conda activate intake ``` Additional pip packages are listed in `./requirements.txt` are required to build the docs: ```bash pip install -r requirements.txt ``` ## Second option for environment A conda environment with pip packages included is in `environment.yml` of the current directory, and you may create it with: ```bash conda env create conda activate intake ``` ## Build docs To make HTML documentation: ```bash make html ``` Outputs to `build/html/index.html` intake-0.6.5/docs/environment.yml000066400000000000000000000004741416666122400170310ustar00rootroot00000000000000name: intake channels: - defaults dependencies: - appdirs - python=3.7 - dask=2.10.1 - numpy - pandas - msgpack-python - msgpack-numpy - requests - tornado - jinja2 - python-snappy - pyyaml - hvplot >=0.5.2 - panel >=0.8.0 - bokeh <2.0.0 - sphinx - sphinx_rtd_theme - numpydoc intake-0.6.5/docs/make.bat000066400000000000000000000014561416666122400153500ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=source set BUILDDIR=build set SPHINXPROJ=intake if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% :end popd intake-0.6.5/docs/requirements.txt000066400000000000000000000000661416666122400172230ustar00rootroot00000000000000sphinx sphinx_rtd_theme numpydoc msgpack_numpy panel intake-0.6.5/docs/source/000077500000000000000000000000001416666122400152355ustar00rootroot00000000000000intake-0.6.5/docs/source/_static/000077500000000000000000000000001416666122400166635ustar00rootroot00000000000000intake-0.6.5/docs/source/_static/.keep000066400000000000000000000000001416666122400175760ustar00rootroot00000000000000intake-0.6.5/docs/source/_static/css/000077500000000000000000000000001416666122400174535ustar00rootroot00000000000000intake-0.6.5/docs/source/_static/css/custom.css000066400000000000000000000001221416666122400214720ustar00rootroot00000000000000div.prompt { display: none } div.logo-block img { display: none !important } intake-0.6.5/docs/source/_static/images/000077500000000000000000000000001416666122400201305ustar00rootroot00000000000000intake-0.6.5/docs/source/_static/images/YAMLtab.png000066400000000000000000001463361416666122400221040ustar00rootroot00000000000000PNG  IHDRVA IiCCPICC ProfileHWTS[RIhH "HB U@B1!ؑe\"b/bw-/TVł 7)w?_2w z<4 _R K eOKg P/c:@T7U B9$L>RTVmHUx"F2 RR*MRi<,g!M%=2A|Oq0N_d3sĚ\B˥yg9)|8FɢT9ú̝4%qBN,PCREd=jΗs`bw/,bs#$y1Z}f8 1\!hP(Orʦ& ,ȓO(rZ"!wu()U3F-B 1SE"ABId%Hb EbnW<;U7wԌT#LΐE,6,?|wDMb*_tg UExnp?jtA&=FK` `>ƀ8dXe\20AjP 6M` fpyp \@x!!t"V=x H Hd#DB  و#"cYGCij:#P_FI$4 CwM1ՑHMPSԓ;W:::6:~:t:ttvѹfHsqhi VQ-+:@ K{w \]\&˺(zzlzzz{.uS9<95o0 F,6np!0P`XjCưep|fIFшkcTaӨݨxqqq!c%c:0LMsM65\ƙM7[ovҬ{ЀC 5w1O0iyEbqnKee*Ö]V +*#VYlVucmnehnghlSb-6vmmXYv vS}EkOۿuptHuѡᩣ#ױر)iSUgs:K.ȥ+*v]10odXݰn47[[1K7>nD#NHÑcFlŃQqՓ9׳(QQGbxѫ듷̻ѻ'ç熯ob3~P~{;- 7`{ю7~h  be ? l yvfwBsfsaaaa"l"#"z""gF"DEG-ܞ1>cf9MN~#i3v;8Ǎ[w71~ZoՌ{02aVDFoB&NvJV$LLOy"U9~ϧZI)[{'OX=sIJ'9N*tvɇMMٛAH؞ǫfr3k3{3A`K(\!|"iv`.QR-戫/rr6͍ݚ۟+@b(ɕj9hjUZ&UNzZ,ZE'[ I~aPaM)I.phƓ_f33fYϚ?ls9s-9/r޶/q/YQzARyLLVvǀ7,/\vrA ʊ4򧪟d-i_t22ɲ˃o[axÕcW6b*_zg+GUnXC]XjYkvڏբk55jkվ]'Xwy} *6|Y͍*77nz9e_|bb˧m No7߾mP4t호ΰ-nw1wU5{۸~_~&iFSOYْq`́ր mA5-=L=\zHޣңDz=lvWO;~2Sf>r&g=|| }w{E-.v8|9+aWN]^=-Z7oL)Vޭw{w+߫v)ݿ },}L\IS".9gg}eUC3EůL_m}=u[o|7oޖ3}R?<џKy2(fer+4a枧Ds7U#.oa:s6y6Q=)M+,O  x_Y@jo]0[_?5<Bá pHYs%%IR$iTXtXML:com.adobe.xmp 532 742 1 a@IDATxww"M{H^WOHbhD5hl ;( 4DzQz̽{w{w{w[{ow3yg*I 6dU̙#/}:vgU   VlXk2n8s9}䦛nzHӧ8;v,D$@$@$83Cד-[j qXx>(ԉMcƌ ;O|Gڕ֭[!z뭈ی=:Tvȑ駟j8\Z.袈󟵋 A?2^8`w}'ݻww%   $@aa?p+58|kc5lGYԁ0 u'͛'.:tPmwWo BUybg :ṕ ,ⰦGK?K>c y駵9KByC$@$@$@J<#u5ٳ&@CNѮM2%t/&~~:SS4m4ŏn-9TKݺuXܝt饗 HF/-unIHHH W P'y!aM՟<ۣ.ԉI/w,%; ~Hk֬qN DK@uQ(Dyiժs- 4 $㲒jG݉$'lafʹkLyur!Kh0NBh /zhwDO9NHHHH ' $rUlNTΝ+˖-W_}U.rXoZy$VRCўdBC$@$@$@YN<CԔ{W 1\VWܹs?wq`!',5&"}rꩧʱ+7tKD~$_}z?n wܩ+;6;$@$@$@$(̳lˋһwoꫯBst;<8yWk)CGz!XIˤISpWdS$ze`ASOaѡx !   !`Ikn:1NΙ3GUVnp98p`#GQT,Y"XDW a./bD`:R>`n|HHHH#R݃ӈ,;vԟXxb?~ΊӢEI$'s- @l(cs.-X'???2eėuWw?.,_B:B!   ybYn] &p 1UP*"SϞ=˚5kdrˈ#$//O !ҨQn"G$@$@$@YA>57nQP&+܉s@ OyVԘLqGG+8z2<9    (̓,r[l)mڴѓ$!̝0чYps]dӦMz&~M}q1yt߾}2`߿=v$@$@$@$-(̓,`@rЂ7ky< >WvءR^,yIHHH'@aaူ޽{ʖ]Xvm⾦,?Z,I$@$@$@$  xyIHHHH+     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 @a& 9    Hi0l P     4 I6 I$0gYx۝Y @Pl ;~x7n9Ca^Cے @/1'    0OTVI$@$@$@$@+Kb_PP ׯ-[ݻ0ƒ&[~~4h@7o.mڴڵkUIHHH2y kǎ|rq\ZXwI<X݂~ٻwܹSo.]vƍTL@@,X -mDz);VTTlۖUV? vvɐ!CN:/#jՒ ʦM_M6Z7^^Aj߾h"j>$   l'@a8]bvҝ'`:Q*HЍ5BuիJ͛7˨QdԩQ{}˵^+֗NW^y̚5+Rz{NfΜ)gu(ԉMcƌ ;O|G2|mA0F>}[=ztȑ#O?n*pi袋":hq2ӗ_~:ujן @0O8p@B>ܰy,'?ʢԅI;4o}ȣ>*5= z$[8 y&   eI}ԭ[7ɞ5Bu&u4eʔ-.aa)\QMh_CywN:;~D B/L$@$@$@$(̓<Ѱ&OQD݉$;cqvls$#Y9%->Z_ kG4'M<ٕ??   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See :doc:`plotting` for more details. .. autoclass:: intake.catalog.Catalog :members: .. autoclass:: intake.catalog.entry.CatalogEntry :members: .. autoclass:: intake.container.base.RemoteSource :members: .. autoclass:: intake.catalog.local.UserParameter :members: .. autoclass:: intake.auth.base.BaseAuth :members: .. autoclass:: intake.source.cache.BaseCache :members: .. autoclass:: intake.source.base.AliasSource :members: __init__, _get_source .. autoclass:: intake.source.base.PatternMixin :members: .. autoclass:: intake.source.base.Schema :members: .. autoclass:: intake.container.persist.PersistStore :members: add, get_tok, remove, backtrack, refresh, needs_refresh intake-0.6.5/docs/source/api_other.rst000066400000000000000000000062631416666122400177500ustar00rootroot00000000000000Other Classes ============= Cache Types ----------- .. autosummary:: intake.source.cache.FileCache intake.source.cache.DirCache intake.source.cache.CompressedCache intake.source.cache.DATCache intake.source.cache.CacheMetadata .. autoclass:: intake.source.cache.FileCache :members: .. autoclass:: intake.source.cache.DirCache :members: .. autoclass:: intake.source.cache.CompressedCache :members: .. autoclass:: intake.source.cache.DATCache :members: .. autoclass:: intake.source.cache.CacheMetadata :members: Auth ---- .. autosummary:: intake.auth.secret.SecretAuth intake.auth.secret.SecretClientAuth .. autoclass:: intake.auth.secret.SecretAuth :members: .. autoclass:: intake.auth.secret.SecretClientAuth :members: Containers ---------- .. autosummary:: intake.container.dataframe.RemoteDataFrame intake.container.ndarray.RemoteArray intake.container.semistructured.RemoteSequenceSource .. autoclass:: intake.container.dataframe.RemoteDataFrame :members: .. autoclass:: intake.container.ndarray.RemoteArray :members: .. autoclass:: intake.container.semistructured.RemoteSequenceSource :members: Server ------ .. autosummary:: intake.cli.server.server.IntakeServer intake.cli.server.server.ServerInfoHandler intake.cli.server.server.SourceCache intake.cli.server.server.ServerSourceHandler .. autoclass:: intake.cli.server.server.IntakeServer :members: .. autoclass:: intake.cli.server.server.ServerInfoHandler :members: .. autoclass:: intake.cli.server.server.SourceCache :members: .. autoclass:: intake.cli.server.server.ServerSourceHandler :members: GUI --- .. autosummary:: intake.interface.base.Base intake.interface.base.BaseSelector intake.interface.base.BaseView intake.interface.catalog.add.FileSelector intake.interface.catalog.add.URLSelector intake.interface.catalog.add.CatAdder intake.interface.catalog.gui.CatGUI intake.interface.catalog.search.Search intake.interface.catalog.search.SearchInputs intake.interface.catalog.select.CatSelector intake.interface.source.defined_plots.Plots intake.interface.source.gui.SourceGUI intake.interface.source.description.Description intake.interface.source.select.SourceSelector .. autoclass:: intake.interface.base.Base :members: .. autoclass:: intake.interface.base.BaseSelector :members: .. autoclass:: intake.interface.base.BaseView :members: .. autoclass:: intake.interface.catalog.add.FileSelector :members: .. autoclass:: intake.interface.catalog.add.URLSelector :members: .. autoclass:: intake.interface.catalog.add.CatAdder :members: .. autoclass:: intake.interface.catalog.gui.CatGUI :members: .. autoclass:: intake.interface.catalog.search.Search :members: .. autoclass:: intake.interface.catalog.search.SearchInputs :members: .. autoclass:: intake.interface.catalog.select.CatSelector :members: .. autoclass:: intake.interface.source.defined_plots.Plots :members: .. autoclass:: intake.interface.source.gui.SourceGUI :members: .. autoclass:: intake.interface.source.description.Description :members: .. autoclass:: intake.interface.source.select.SourceSelector :members: intake-0.6.5/docs/source/api_user.rst000066400000000000000000000044571416666122400176100ustar00rootroot00000000000000End User -------- These are reference class and function definitions likely to be useful to everyone. .. autosummary:: intake.open_catalog intake.registry intake.register_driver intake.unregister_driver intake.upload intake.open_ intake.source.csv.CSVSource intake.source.textfiles.TextFilesSource intake.source.jsonfiles.JSONFileSource intake.source.jsonfiles.JSONLinesFileSource intake.source.npy.NPySource intake.source.zarr.ZarrArraySource intake.catalog.local.YAMLFileCatalog intake.catalog.local.YAMLFilesCatalog intake.catalog.zarr.ZarrGroupCatalog intake.interface.gui.GUI .. autofunction:: intake.open_catalog .. attribute:: intake.registry Mapping from plugin names to the DataSource classes that implement them. These are the names that should appear in the ``driver:`` key of each source definition in a catalog. See :doc:`plugin-directory` for more details. .. attribute:: intake.open_ Set of functions, one for each plugin, for direct opening of a data source. The names are derived from the names of the plugins in the registry at import time. .. autofunction:: intake.upload .. autoclass:: intake.interface.gui.GUI :members: Source classes '''''''''''''' .. autoclass:: intake.source.csv.CSVSource :members: __init__, discover, read_partition, read, to_dask, persist, export .. autoclass:: intake.source.zarr.ZarrArraySource :members: __init__, discover, read_partition, read, to_dask, persist, export .. autoclass:: intake.source.textfiles.TextFilesSource :members: __init__, discover, read_partition, read, to_dask, persist, export .. autoclass:: intake.source.jsonfiles.JSONFileSource :members: __init__, discover, read, persist, export .. autoclass:: intake.source.jsonfiles.JSONLinesFileSource :members: __init__, discover, read, head, persist, export .. autoclass:: intake.source.npy.NPySource :members: __init__, discover, read_partition, read, to_dask, persist, export .. autoclass:: intake.catalog.local.YAMLFileCatalog :members: __init__, reload, search, walk, persist, export .. autoclass:: intake.catalog.local.YAMLFilesCatalog :members: __init__, reload, search, walk, persist, export .. autoclass:: intake.catalog.zarr.ZarrGroupCatalog :members: __init__, reload, search, walk, persist, export, to_zarr intake-0.6.5/docs/source/auth-plugins.rst000066400000000000000000000114541416666122400204140ustar00rootroot00000000000000.. _authplugins: Authorization Plugins ===================== Authorization plugins are classes that can be used to customize access permissions to the Intake catalog server. The Intake server and client communicate over HTTP, so when security is a concern, the *most important* step to take is to put a TLS-enabled reverse proxy (like ``nginx``) in front of the Intake server to encrypt all communication. Whether or not the connection is encrypted, the Intake server by default allows all clients to list the full catalog, and open any of the entries. For many use cases, this is sufficient, but if the visibility of catalog entries needs to be limited based on some criteria, a server- (and/or client-) side authorization plugin can be used. Server Side ----------- .. highlight: yaml An Intake server can have exactly one server side plugin enabled at startup. The plugin is activated using the Intake configuration file, which lists the class name and the keyword arguments it takes. For example, the "shared secret" plugin would be configured this way:: auth: cls: intake.auth.secret.SecretAuth kwargs: secret: A_SECRET_HASH This plugin is very simplistic, and exists as a demonstration of how an auth plugin might function for more realistic scenarios. .. highlight: python For more information about configuring the Intake server, see :ref:`configuration`. The server auth plugin has two methods. The ``allow_connect()`` method decides whether to allow a client to make any request to the server at all, and the ``allow_access()`` method decides whether the client is allowed to see a particular catalog entry in the listing and whether they are allowed to open that data source. Note that for catalog entries which allow direct access to the data (via network or shared filesystem), the Intake authorization plugins have no impact on the visibility of the underlying data, only the entries in the catalog. The actual implementation of a plugin is very short. Here is a simplified version of the shared secret auth plugin:: class SecretAuth(BaseAuth): def __init__(self, secret, key='intake-secret'): self.secret = secret self.key = key def allow_connect(self, header): try: return self.get_case_insensitive(header, self.key, '') \ == self.secret except: return False def allow_access(self, header, source, catalog): try: return self.get_case_insensitive(header, self.key, '') \ == self.secret except: return False The `header` argument is a dictionary of HTTP headers that were present in the client request. In this case, the plugin is looking for a special ``intake-secret`` header which contains the shared secret token. Because HTTP header names are not case sensitive, the ``BaseAuth`` class provides a helper method ``get_case_insensitive()``, which will match dictionary keys in a case-insensitive way. The ``allow_access`` method also takes two additional arguments. The ``source`` argument is the instance of ``LocalCatalogEntry`` for the data source being checked. Most commonly auth plugins will want to inspect the ``_metadata`` dictionary for information used to make the authorization decision. Note that it is entirely up to the plugin author to decide what sections they want to require in the metadata section. The ``catalog`` argument is the instance of ``Catalog`` that contains the catalog entry. Typically, plugins will want to use information from the ``catalog.metadata`` dictionary to control global defaults, although this is also up to the plugin. Client Side ----------- Although server side auth plugins can function entirely independently, some authorization schemes will require the client to add special HTTP headers for the server to look for. To facilitate this, the Catalog constructor accepts an optional ``auth`` parameter with an instance of a client auth plugin class. The corresponding client plugin for the shared secret use case describe above looks like:: class SecretClientAuth(BaseClientAuth): def __init__(self, secret, key='intake-secret'): self.secret = secret self.key = key def get_headers(self): return {self.key: self.secret} It defines a single method, ``get_headers()``, which is called to get a dictionary of additional headers to add to the HTTP request to the catalog server. To use this plugin, we would do the following:: import intake from intake.auth.secret import SecretClientAuth auth = SecretClientAuth('A_SECRET_HASH') cat = intake.Catalog('http://example.com:5000', auth=auth) Now all requests made to the remote catalog will contain the ``intake-secret`` header. intake-0.6.5/docs/source/catalog.rst000066400000000000000000000646651416666122400174220ustar00rootroot00000000000000Catalogs ======== Data catalogs provide an abstraction that allows you to externally define, and optionally share, descriptions of datasets, called *catalog entries*. A catalog entry for a dataset includes information like: * The name of the Intake driver that can load the data * Arguments to the ``__init__()`` method of the driver * Metadata provided by the catalog author (such as field descriptions and types, or data provenance) In addition, Intake allows the arguments to data sources to be templated, with the variables explicitly expressed as "user parameters". The given arguments are rendered using ``jinja2``, the values of named user parameterss, and any overrides. The parameters are also offer validation of the allowed types and values, for both the template values and the final arguments passed to the data source. The parameters are named and described, to indicate to the user what they are for. This kind of structure can be used to, for example, choose between two parts of a given data source, like "latest" and "stable", see the `entry1_part` entry in the example below. The user of the catalog can always override any template or argument value at the time that they access a give source. The Catalog class ----------------- In Intake, a ``Catalog`` instance is an object with one or more named entries. The entries might be read from a static file (e.g., YAML, see the next section), from an Intake server or from any other data service that has a driver. Drivers which create catalogs are ordinary DataSource classes, except that they have the container type "catalog", and do not return data products via the ``read()`` method. For example, you might choose to instantiate the base class and fill in some entries explicitly in your code .. code-block:: python from intake.catalog import Catalog from intake.catalog.local import LocalCatalogEntry mycat = Catalog.from_dict({ 'source1': LocalCatalogEntry(name, description, driver, args=...), ... }) Alternatively, subclasses of ``Catalog`` can define how entries are created from whichever file format or service they interact with, examples including ``RemoteCatalog`` and `SQLCatalog`_. These generate entries based on their respective targets; some provide advanced search capabilities executed on the server. .. _SQLCatalog: https://intake-sql.readthedocs.io/en/latest/api.html#intake_sql.SQLCatalog YAML Format ----------- Intake catalogs can most simply be described with YAML files. This is very common in the tutorials and this documentation, because it simple to understand, but demonstrate the many features of Intake. Note that YAML files are also the easiest way to share a catalog, simply by copying to a publicly-available location such as a cloud storage bucket. Here is an example: .. code-block:: yaml metadata: version: 1 parameters: file_name: type: str description: default file name for child entries default: example_file_name sources: example: description: test driver: random args: {} entry1_full: description: entry1 full metadata: foo: 'bar' bar: [1, 2, 3] driver: csv args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' entry1_part: description: entry1 part parameters: # User parameters part: description: section of the data type: str default: "stable" allowed: ["latest", "stable"] driver: csv args: urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' entry2: description: entry2 driver: csv args: # file_name parameter will be inherited from file-level parameters, so will # default to "example_file_name" urlpath: '{{ CATALOG_DIR }}/entry2/{{ file_name }}.csv` Metadata '''''''' Arbitrary extra descriptive information can go into the metadata section. Some fields will be claimed for internal use and some fields may be restricted to local reading; but for now the only field that is expected is ``version``, which will be updated when a breaking change is made to the file format. Any catalog will have ``.metadata`` and ``.version`` attributes available. Note that each source also has its own metadata. The metadata section an also contain ``parameters`` which will be inherited by the sources in the file (note that these sources can augment these parameters, or override them with their own parameters). Extra drivers ''''''''''''' The ``driver:`` entry of a data source specification can be a driver name, as has been shown in the examples so far. It can also be an absolute class path to use for the data source, in which case there will be no ambiguity about how to load the data. That is the the preferred way to be explicit, when the driver name alone is not enough (see `Driver Selection`_, below). .. code-block:: yaml plugins: source: - module: intake.catalog.tests.example1_source sources: ... However, you do not, in general, need to do this, since the ``driver:`` field of each source can also explicitly refer to the plugin class. Sources ''''''' The majority of a catalog file is composed of data sources, which are named data sets that can be loaded for the user. Catalog authors describe the contents of data set, how to load it, and optionally offer some customization of the returned data. Each data source has several attributes: - ``name``: The canonical name of the source. Best practice is to compose source names from valid Python identifiers. This allows Intake to support things like tab completion of data source names on catalog objects. For example, ``monthly_downloads`` is a good source name. - ``description``: Human readable description of the source. To help catalog browsing tools, the description should be Markdown. - ``driver``: Name of the Intake :term:`Driver` to use with this source. Must either already be installed in the current Python environment (i.e. with conda or pip) or loaded in the ``plugin`` section of the file. Can be a simple driver name like "csv" or the full path to the implementation class like "package.module.Class". - ``args``: Keyword arguments to the init method of the driver. Arguments may use template expansion. - ``metadata``: Any metadata keys that should be attached to the data source when opened. These will be supplemented by additional metadata provided by the driver. Catalog authors can use whatever key names they would like, with the exception that keys starting with a leading underscore are reserved for future internal use by Intake. - ``direct_access``: Control whether the data is directly accessed by the client, or proxied through a catalog server. See :ref:`remote-catalogs` for more details. - ``parameters``: A dictionary of data source parameters. See below for more details. Caching Source Files Locally '''''''''''''''''''''''''''' *This method of defining the cache with a dedicated block is deprecated, see the Remote Access section, below* To enable caching on the first read of remote data source files, add the ``cache`` section with the following attributes: - ``argkey``: The args section key which contains the URL(s) of the data to be cached. - ``type``: One of the keys in the cache registry [`intake.source.cache.registry`], referring to an implementation of caching behaviour. The default is "file" for the caching of one or more files. Example: .. code-block:: yaml test_cache: description: cache a csv file from the local filesystem driver: csv cache: - argkey: urlpath type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' The ``cache_dir`` defaults to ``~/.intake/cache``, and can be specified in the intake configuration file or ``INTAKE_CACHE_DIR`` environment variable, or at runtime using the ``"cache_dir"`` key of the configuration. The special value ``"catdir"`` implies that cached files will appear in the same directory as the catalog file in which the data source is defined, within a directory named "intake_cache". These will not appear in the cache usage reported by the CLI. Optionally, the cache section can have a ``regex`` attribute, that modifies the path of the cache on the disk. By default, the cache path is made by concatenating ``cache_dir``, dataset name, hash of the url, and the url itself (without the protocol). ``regex`` attribute allows to remove part of the url (the matching part). Caching can be disabled at runtime for all sources regardless of the catalog specification:: from intake.config import conf conf['cache_disabled'] = True By default, progress bars are shown during downloads if the package ``tqdm`` is available, but this can be disabled (e.g., for consoles that don't support complex text) with conf['cache_download_progress'] = False or, equivalently, the environment parameter ``INTAKE_CACHE_PROGRESS``. The "types" of caching are that supported are listed in ``intake.source.cache.registry``, see the docstrings of each for specific parameters that should appear in the cache block. It is possible to work with compressed source files by setting ``type: compression`` in the cache specification. By default the compression type is inferred from the file extension, otherwise it can be set by assigning the ``decomp`` variable to any of the options listed in ``intake.source.decompress.decomp``. This will extract all the file(s) in the compressed file referenced by urlpath and store them in the cache directory. In cases where miscellaneous files are present in the compressed file, a ``regex_filter`` parameter can be used. Only the extracted filenames that match the pattern will be loaded. The cache path is appended to the filename so it is necessary to include a wildcard to the beginning of the pattern. Example: .. code-block:: yaml test_compressed: driver: csv args: urlpath: 'compressed_file.tar.gz' cache: - type: compressed decomp: tgz argkey: urlpath regex_filter: '.*data.csv' Templating ---------- Intake catalog files support Jinja2 templating for driver arguments. Any occurrence of a substring like ``{{field}}`` will be replaced by the value of the user parameters with that same name, or the value explicitly provided by the user. For how to specify these user parameters, see the next section. Some additional values are available for templating. The following is always available: ``CATALOG_DIR``, the full path to the directory containing the YAML catalog file. This is especially useful for constructing paths relative to the catalog directory to locate data files and custom drivers. For example, the search for CSV files for the two "entry1" blocks, above, will happen in the same directory as where the catalog file was found. The following functions `may` be available. Since these execute code, the user of a catalog may decide whether they trust those functions or not. - ``env("USER")``: look in the set environment variables for the named variable - ``client_env("USER")``: exactly the same, except that when using a client-server topology, the value will come from the environment of the client. - ``shell("get_login thisuser -t")``: execute the command, and use the output as the value. The output will be trimmed of any trailing whitespace. - ``client_shell("get_login thisuser -t")``: exactly the same, except that when using a client-server topology, the value will come from the system of the client. The reason for the "client" versions of the functions is to prevent leakage of potentially sensitive information between client and server by controlling where lookups happen. When working without a server, only the ones without "client" are used. An example: .. code-block:: yaml sources: personal_source: description: This source needs your username args: url: "http://server:port/user/{{env(USER)}}" Here, if the user is named "blogs", the ``url`` argument will resolve to ``"http://server:port/user/blogs"``; if the environment variable is not defined, it will resolve to ``"http://server:port/user/"`` .. _paramdefs: Parameter Definition -------------------- Source parameters ''''''''''''''''' A source definition can contain a "parameters" block. Expressed in YAML, a parameter may look as follows: .. code-block:: yaml parameters: name: description: name to use # human-readable text for what this parameter means type: str # one of bool, str, int, float, list[str | int | float], datetime, mlist default: normal # optional, value to assume if user does not override allowed: ["normal", "strange"] # optional, list of values that are OK, for validation min: "n" # optional, minimum allowed, for validation max: "t" # optional, maximum allowed, for validation A parameter, not to be confused with an :term:`argument`, can have one of two uses: - to provide values for variables to be used in templating the arguments. *If* the pattern "{{name}}" exists in any of the source arguments, it will be replaced by the value of the parameter. If the user provides a value (e.g., ``source = cat.entry(name='something")``), that will be used, otherwise the default value. If there is no user input or default, the empty value appropriate for type is used. The ``default`` field allows for the same function expansion as listed for arguments, above. - *If* an argument with the same name as the parameter exists, its value, after any templating, will be coerced to the given type of the parameter and validated against the allowed/max/min. It is therefore possible to use the string templating system (e.g., to get a value from the environment), but pass the final value as, for example, an integer. It makes no sense to provide a default for this case (the argument already has a value), but providing a default will not raise an exception. - the "mlist" type is special: it means that the input must be a list, whose values are chosen from the allowed list. This is the only type where the parameter value is not the same type as the allowed list's values, e.g., if a list of str is set for ``allowed``, a list of str must also be the final value. Note: the ``datetime`` type accepts multiple values: Python datetime, ISO8601 string, Unix timestamp int, "now" and "today". Catalog parameters '''''''''''''''''' You can also define user parameters at the catalog level. This applies the parameter to all entries within that catalog, without having to define it for each and every entry. Furthermore, catalogs dested within the catalog will also inherit the parameter(s). For example, with the following spec .. code-block:: yaml metadata: version: 1 parameters: bucket: type: str description: description default: test_bucket sources: param_source: driver: parquet description: description args: urlpath: s3://{{bucket}}/file.parquet subcat: driver: yaml_file path: "{{CATALOG_DIR}}/other.yaml" If ``cat`` is the corresponsing catalog instance, the URL of source ``cat.param_source`` will evaluate to "s3://test_bucket/file.parquet" by default, but the parameter can be overridden with ``cat.param_source(bucket="other_bucket")``. Also, any entries of ``subcat``, another catalog referenced from here, would also have the "bucket"-named parameter attached to all sources. Of course, those sources do no need to make use of the parameter. To change the default, we can gerenate a new instance .. code-block:: python cat2 = cat(bucket="production") # sets default value of "bucket" for cat2 subcat = cat.subcat(bucket="production") # sets default only for the nested catalog Of course, in these situations you can still override the value of the parameter for any source, or pass explicit values for the arguments of the source, as normal. For cases where the catalog is not defined in a YAML spec, the argument ``user_parameters`` to the constructor takes the same form as ``parameters`` above: a dict of user parameters, either as ``UserParameter`` instances or as a dictionary spec for each one. Driver Selection ---------------- In some cases, it may be possible that multiple backends are capable of loading from the same data format or service. Sometimes, this may mean two drivers with unique names, or a single driver with a parameter to choose between the different backends. However, it is possible that multiple drivers for reading a particular type of data also share the same driver name: for example, both the intake-iris and the intake-xarray packages contain drivers with the name ``"netcdf"``, which are capable of reading the same files, but with different backends. Here we will describe the various possibilities of coping with this situation. Intake's plugin system makes it easy to encode such choices. It may be acceptable to use any driver which claims to handle that data type, or to give the option of which driver to use to the user, or it may be necessary to specify which precise driver(s) are appropriate for that particular data. Intake allows all of these possibilities, even if the backend drivers require extra arguments. Specifying a single driver explicitly, rather than using a generic name, would look like this: .. code-block:: yaml sources: example: description: test driver: package.module.PluginClass args: {} It is also possible to describe a list of drivers with the same syntax. The first one found will be the one used. Note that the class imports will only happen at data source instantiation, i.e., when the entry is selected from the catalog. .. code-block:: yaml sources: example: description: test driver: - package.module.PluginClass - another_package.PluginClass2 args: {} These alternative plugins can also be given data-source specific names, allowing the user to choose at load time with `driver=` as a parameter. Additional arguments may also be required for each option (which, as usual, may include user parameters); however, the same global arguments will be passed to all of the drivers listed. .. code-block:: yaml sources: example: description: test driver: first: class: package.module.PluginClass args: specific_thing: 9 second: class: another_package.PluginClass2 args: {} Remote Access ------------- (see also :ref:`remote_data` for the implementation details) Many drivers support reading directly from remote data sources such as HTTP, S3 or GCS. In these cases, the path to read from is usually given with a protocol prefix such as ``gcs://``. Additional dependencies will typically be required (``requests``, ``s3fs``, ``gcsfs``, etc.), any data package should specify these. Further parameters may be necessary for communicating with the storage backend and, by convention, the driver should take a parameter ``storage_options`` containing arguments to pass to the backend. Some remote backends may also make use of environment variables or config files to determine thier default behaviour. The special template variable "CATALOG_DIR" may be used to construct relative URLs in the arguments to a source. In such cases, if the filesystem used to load that catalog contained arguments, then the ``storage_options`` of that file system will be extracted and passed to the source. Therefore, all sources which can accept general URLs (beyond just local paths) must make sure to accept this argument. As an example of using ``storage_options``, the following two sources would allow for reading CSV data from S3 and GCS backends without authentication (anonymous access), respectively .. code-block:: yaml sources: s3_csv: driver: csv description: "Publicly accessible CSV data on S3; requires s3fs" args: urlpath: s3://bucket/path/*.csv storage_options: anon: true gcs_csv: driver: csv description: "Publicly accessible CSV data on GCS; requires gcsfs" args: urlpath: gcs://bucket/path/*.csv storage_options: token: "anon" .. _caching: Caching ''''''' URLs interpreted by ``fsspec`` offer `automatic caching`_. For example, to enable file-based caching for the first source above, you can do: .. code-block:: yaml sources: s3_csv: driver: csv description: "Publicly accessible CSV data on S3; requires s3fs" args: urlpath: simplecache::s3://bucket/path/*.csv storage_options: s3: anon: true Here we have added the "simplecache" to the URL (this caching backend does not store any metadata about the cached file) and specified that the "anon" parameter is meant as an argument to s3, not to the caching mechanism. As each file in s3 is accessed, it will first be downloaded and then the local version used instead. .. _automatic caching: https://filesystem-spec.readthedocs.io/en/latest/features.html#caching-files-locally You can tailor how the caching works. In particular the location of the local storage can be set with the ``cache_storage`` parameter (under the "simplecache" group of storage_options, of course) - otherwise they are stored in a temporary location only for the duration of the current python session. The cache location is particularly useful in conjunction with an environment variable, or relative to "{{CATALOG_DIR}}", wherever the catalog was loaded from. Please see the ``fsspec`` documentation for the full set of cache types and their various options. Local Catalogs -------------- A Catalog can be loaded from a YAML file on the local filesystem by creating a Catalog object: .. code-block:: python from intake import open_catalog cat = open_catalog('catalog.yaml') Then sources can be listed: .. code-block:: python list(cat) and data sources are loaded via their name: .. code-block:: python data = cat.entry_part1 and you can optionally configure new instances of the source to define user parameters or override arguments by calling either of: .. code-block:: python data = cat.entry_part1.configure_new(part='1') data = cat.entry_part1(part='1') # this is a convenience shorthand Intake also supports loading a catalog from all of the files ending in ``.yml`` and ``.yaml`` in a directory, or by using an explicit glob-string. Note that the URL provided may refer to a remote storage systems by passing a protocol specifier such as ``s3://``, ``gcs://``.: .. code-block:: python cat = open_catalog('/research/my_project/catalog.d/') Intake Catalog objects will automatically reload changes or new additions to catalog files and directories on disk. These changes will not affect already-opened data sources. Catalog Nesting --------------- A catalog is just another type of data source for Intake. For example, you can print a YAML specification corresponding to a catalog as follows: .. code-block:: python cat = intake.open_catalog('cat.yaml') print(cat.yaml()) results in: .. code-block:: yaml sources: cat: args: path: cat.yaml description: '' driver: intake.catalog.local.YAMLFileCatalog metadata: {} The `point` here, is that this can be included in another catalog. (It would, of course, be better to include a description and the full path of the catalog file here.) If the entry above were saved to another file, "root.yaml", and the original catalog contained an entry, ``data``, you could access it as: .. code-block:: python root = intake.open_catalog('root.yaml') root.cat.data It is, therefore, possible to build up a hierarchy of catalogs referencing each other. These can, of course, include remote URLs and indeed catalog sources other than simple files (all the tables on a SQL server, for instance). Plus, since the argument and parameter system also applies to entries such as the example above, it would be possible to give the user a runtime choice of multiple catalogs to pick between, or have this decision depend on an environment variable. .. _remote-catalogs: Server Catalogs --------------- Intake also includes a server which can share an Intake catalog over HTTP (or HTTPS with the help of a TLS-enabled reverse proxy). From the user perspective, remote catalogs function identically to local catalogs: .. code-block:: python cat = open_catalog('intake://catalog1:5000') list(cat) The difference is that operations on the catalog translate to requests sent to the catalog server. Catalog servers provide access to data sources in one of two modes: * Direct access: In this mode, the catalog server tells the client how to load the data, but the client uses its local drivers to make the connection. This requires the client has the required driver already installed *and* has direct access to the files or data servers that the driver will connect to. * Proxied access: In this mode, the catalog server uses its local drivers to open the data source and stream the data over the network to the client. The client does not need *any* special drivers to read the data, and can read data from files and data servers that it cannot access, as long as the catalog server has the required access. Whether a particular catalog entry supports direct or proxied access is determined by the ``direct_access`` option: - ``forbid`` (default): Force all clients to proxy data through the catalog server - ``allow``: If the client has the required driver, access the source directly, otherwise proxy the data through the catalog server. - ``force``: Force all clients to access the data directly. If they do not have the required driver, an exception will be raised. Note that when the client is loading a data source via direct access, the catalog server will need to send the driver arguments to the client. Do not include sensitive credentials in a data source that allows direct access. Client Authorization Plugins '''''''''''''''''''''''''''' Intake servers can check if clients are authorized to access the catalog as a whole, or individual catalog entries. Typically a matched pair of server-side plugin (called an "auth plugin") and a client-side plugin (called a "client auth plugin) need to be enabled for authorization checks to work. This feature is still in early development, but see module ``intake.auth.secret`` for a demonstration pair of server and client classes implementation auth via a shared secret. See :doc:`auth-plugins`. intake-0.6.5/docs/source/community.rst000066400000000000000000000051041416666122400200130ustar00rootroot00000000000000Community ========= Intake is used and developed by individuals at a variety of institutions. It is open source (`license `_) and sits within the broader Python numeric ecosystem commonly referred to as PyData or SciPy. Discussion ---------- Conversation happens in the following places: 1. **Usage questions** are directed to `Stack Overflow with the #intake tag`_. Intake developers monitor this tag. 2. **Bug reports and feature requests** are managed on the `GitHub issue tracker`_. Individual intake plugins are managed in separate repositories each with its own issue tracker. Please consult the :doc:`plugin-directory` for a list of available plugins. 3. **Chat** occurs on at `gitter.im/ContinuumIO/intake `_. Note that because gitter chat is not searchable by future users we discourage usage questions and bug reports on gitter and instead ask people to use Stack Overflow or GitHub. 4. **Monthly community meeting** happens the first Thursday of the month at 9:00 US Central Time. See ``_, with a reminder sent out on the gitter channel. Strictly informal chatter. .. _`Stack Overflow with the #intake tag`: https://stackoverflow.com/questions/tagged/intake .. _`GitHub issue tracker`: https://github.com/intake/intake/issues/ Asking for help --------------- We welcome usage questions and bug reports from all users, even those who are new to using the project. There are a few things you can do to improve the likelihood of quickly getting a good answer. 1. **Ask questions in the right place**: We strongly prefer the use of Stack Overflow or GitHub issues over Gitter chat. GitHub and Stack Overflow are more easily searchable by future users, and therefore is more efficient for everyone's time. Gitter chat is strictly reserved for developer and community discussion. If you have a general question about how something should work or want best practices then use Stack Overflow. If you think you have found a bug then use GitHub 2. **Ask only in one place**: Please restrict yourself to posting your question in only one place (likely Stack Overflow or GitHub) and don't post in both 3. **Create a minimal example**: It is ideal to create `minimal, complete, verifiable examples `_. This significantly reduces the time that answerers spend understanding your situation, resulting in higher quality answers more quickly. intake-0.6.5/docs/source/conf.py000066400000000000000000000125771416666122400165500ustar00rootroot00000000000000#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # intake documentation build configuration file, created by # sphinx-quickstart on Jan 8 09:15:00 2018. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import os import sys sys.path.insert(0, os.path.abspath('../..')) import intake # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.intersphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'numpydoc', ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = 'intake' copyright = '2018, Anaconda' author = 'Anaconda' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = intake.__version__ # The full version, including alpha/beta/rc tags. release = intake.__version__ # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' # on_rtd is whether we are on readthedocs.org on_rtd = os.environ.get('READTHEDOCS', None) == 'True' if not on_rtd: # only import and set the theme if we're building docs locally # otherwise, readthedocs.org uses their theme by default, so no need to specify it import sphinx_rtd_theme html_theme = 'sphinx_rtd_theme' html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'intakedoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'intake.tex', 'Intake Documentation', 'Anaconda', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'intake', 'Intake Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'intake', 'Intake Documentation', author, 'intake', 'Fast data ingestion for Python.', 'Miscellaneous'), ] # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = {'https://docs.python.org/': None} # Config numpydoc numpydoc_show_class_members = False numpydoc_show_inherited_class_members = False numpydoc_class_members_toctree = False intake-0.6.5/docs/source/data-packages.rst000066400000000000000000000313071416666122400204600ustar00rootroot00000000000000Making Data Packages ==================== Intake can used to create :term:`Data packages`, so that you can easily distribute your catalogs - others can just "install data". Since you may also want to distribute custom catalogues, perhaps with visualisations, and driver code, packaging these things together is a great convenience. Indeed, packaging gives you the opportunity to version-tag your distribution and to declare the requirements needed to be able to use the data. This is a common pattern for distributing code for python and other languages, but not commonly seen for data artifacts. The current version of Intake allows making data packages using standard python tools (to be installed, for example, using ``pip``). The previous, now deprecated, technique is still described below, under :ref:`condapack` and is specific to the `conda` packaging system. Python packaging solution ------------------------- Intake allows you to register data artifacts (catalogs and data sources) in the metadata of a python package. This means, that when you install that package, intake will automatically know of the registered items, and they will appear within the "builtin" catalog ``intake.cat``. Here we assume that you understand what is meant by a python package (i.e., a folder containing ``__init__.py`` and other code, config and data files). Furthermore, you should familiarise yourself with what is required for bundling such a package into a *distributable* package (one with a ``setup.py``) by reading the `official packaging documentation`_ .. _official packaging documentation: https://packaging.python.org/tutorials/packaging-projects/ The `intake examples`_ contains a full tutorial for packaging and distributing intake data and/or catalogs for ``pip`` and ``conda``, see the directory "data_package/". .. _intake examples: https://github.com/intake/intake-examples Entry points definition ''''''''''''''''''''''' Intake uses the concept of `entry points` to define the entries that are defined by a given package. Entry points provide a mechanism to register metadata about a package at install time, so that it can easily be found by other packages such as Intake. Entry points was originally a `separate package`_, but is included in the standard library as of python 3.8 (you will not need to install it, as Intake requires it). All you need to do to register an entry in ``intake.cat`` is: - define a data source somewhere in your package. This object can be of any ttype that makes sense to Intake, including Catalogs, and sources that have drivers defined in the very same package. Obviously, if you can have catalogs, you can populate these however you wish, including with more catalogs. You need not be restricted to simply loading in YAML files. - include a block in your call to ``setp`` in ``setup.py`` with code something like .. code-block:: python entry_points={ 'intake.catalogs': [ 'sea_cat = intake_example_package:cat', 'sea_data = intake_example_package:data' ] } Here only the lines with "sea_cat" and "sea_data" are specific to the example package, the rest is required boilerplate. Each of those two lines defines a name for the data entry (before the "=" sign) and the location to load from, in module:object format. - install the package using ``pip``, ``python setup.py``, or package it for ``conda`` .. _separate package: https://github.com/takluyver/entrypoints Intake's process '''''''''''''''' When Intake is imported, it investigates all registered entry points with the ``"intake.catalogs"`` group. It will go through and assign each name to the given location of the final object. In the above example, ``intake.cat.sea_cat`` would be associated with the ``cat`` object in the ``intake_example_package`` package, and so on. Note that Intake does **not** immediately import the given package or module, because imports can sometimes be expensive, and if you have a lot of data packages, it might cause a slow-down every time that Intake is imported. Instead, a placeholder entry is created, and whenever the entry is accessed, that's when the particular package will be imported. .. code-block:: python In [1]: import intake In [2]: intake.cat.sea_cat # does not import yet Out[2]: In [3]: cat = intake.cat.sea_cat() # imports now In [4]: cat # this data source happens to be a catalog Out[4]: (note here the parentheses - this explicitly initialises the source, and normally you don't have to do this) .. _condapack: Pure conda solution ------------------- This packaging method is deprecated, but still available. Combined with the `Conda Package Manger `_, Intake makes it possible to create :term:`Data packages` which can be installed and upgraded just like software packages. This offers several advantages: * Distributing Catalogs and Drivers becomes as easy as ``conda install`` * Data packages can be versioned, improving reproducibility in some cases * Data packages can depend on the libraries required for reading * Data packages can be self-describing using Intake catalog files * Applications that need certain Catalogs can include data packages in their dependency list In this tutorial, we give a walk-through to enable you to distribute any Catalogs to others, so that they can access the data using Intake without worrying about where it resides or how it should be loaded. Implementation '''''''''''''' The function ``intake.catalog.default.load_combo_catalog`` searches for YAML catalog files in a number of place at import. All entries in these catalogs are flattened and placed in the "builtin" ``intake.cat``. The places searched are: * a platform-specific user directory as given by the `appdirs`_ package * in the environment's "/share/intake" data directory, where the location of the current environment is found from virtualenv or conda environment variables * in directories listed in the "INTAKE_PATH" environment variable or "catalog_path" config parameter .. _appdirs: https://github.com/ActiveState/appdirs Defining a Package '''''''''''''''''' The steps involved in creating a data package are: 1. Identifying a dataset, which can be accessed via a URL or included directly as one or more files in the package. 2. Creating a package containing: * an intake catalog file * a ``meta.yaml`` file (description of the data, version, requirements, etc.) * a script to copy the data 3. Building the package using the command ``conda build``. 4. Uploading the package to a package repository such as `Anaconda Cloud `_ or your own private repository. Data packages are standard conda packages that install an Intake catalog file into the user's conda environment (``$CONDA_PREFIX/share/intake``). A data package does not necessarily imply there are data files inside the package. A data package could describe remote data sources (such as files in S3) and take up very little space on disk. These packages are considered ``noarch`` packages, so that one package can be installed on any platform, with any version of Python (or no Python at all). The easiest way to create such a package is using a `conda build `_ recipe. Conda-build recipes are stored in a directory that contains a files like: * ``meta.yaml`` - description of package metadata * ``build.sh`` - script for building/installing package contents (on Linux/macOS) * other files needed by the package (catalog files and data files for data packages) An example that packages up data from a Github repository would look like this: .. code-block:: yaml # meta.yaml package: version: '1.0.0' name: 'data-us-states' source: git_rev: v1.0.0 git_url: https://github.com/CivilServiceUSA/us-states build: number: 0 noarch: generic requirements: run: - intake build: [] about: description: Data about US states from CivilServices (https://civil.services/) license: MIT license_family: MIT summary: Data about US states from CivilServices The key parts of a data package recipe (different from typical conda recipes) is the ``build`` section: .. code-block:: yaml build: number: 0 noarch: generic This will create a package that can be installed on any platform, regardless of the platform where the package is built. If you need to rebuild a package, the build number can be incremented to ensure users get the latest version when they conda update. The corresponding ``build.sh`` file in the recipe looks like this: .. code-block:: bash #!/bin/bash mkdir -p $CONDA_PREFIX/share/intake/civilservices cp $SRC_DIR/data/states.csv $PREFIX/share/intake/civilservices cp $RECIPE_DIR/us_states.yaml $PREFIX/share/intake/ The ``$SRC_DIR`` variable refers to any source tree checked out (from Github or other service), and the ``$RECIPE_DIR`` refers to the directory where the ``meta.yaml`` is located. Finishing out this example, the catalog file for this data source looks like this: .. code-block:: yaml sources: states: description: US state information from [CivilServices](https://civil.services/) driver: csv args: urlpath: '{{ CATALOG_DIR }}/civilservices/states.csv' metadata: origin_url: 'https://github.com/CivilServiceUSA/us-states/blob/v1.0.0/data/states.csv' The ``{{ CATALOG_DIR }}`` Jinja2 variable is used to construct a path relative to where the catalog file was installed. To build the package, you must have conda-build installed: .. code-block:: bash conda install conda-build Building the package requires no special arguments: .. code-block:: bash conda build my_recipe_dir Conda-build will display the path of the built package, which you will need to upload it. If you want your data package to be publicly available on `Anaconda Cloud `_, you can install the anaconda-client utility: .. code-block:: bash conda install anaconda-client Then you can register your Anaconda Cloud credentials and upload the package: .. code-block:: bash anaconda login anaconda upload /Users/intake_user/anaconda/conda-bld/noarch/data-us-states-1.0.0-0.tar.bz2 Best Practices -------------- Versioning '''''''''' * Versions for data packages should be used to indicate changes in the data values or schema. This allows applications to easily pin to the specific data version they depend on. * Putting data files into a package ensures reproducibility by allowing a version number to be associated with files on disk. This can consume quite a bit of disk space for the user, however. Large data files are not generally included in pip or conda packages so, if possible, you should reference the data assets in an external place where they can be loaded. Packaging ''''''''' * Packages that refer to remote data sources (such as databases and REST APIs) need to think about authentication. Do not include authentication credentials inside a data package. They should be obtained from the environment. * Data packages should depend on the Intake plugins required to read the data, or Intake itself. * You may well want to break any driver code code out into a separate package so that it can be updated independent of the data. The data package would then depend on the driver package. Nested catalogs ''''''''''''''' As noted above, entries will appear in the users' builtin catalog as ``intake.cat.*``. In the case that the catalog has multiple entries, it may be desirable to put the entries below a namespace as ``intake.cat.data_package.*``. This can be achieved by having one catalog containing the (several) data sources, with only a single top-level entry pointing to it. This catalog could be defined in a YAML file, created using any other catalog driver, or constructed in the code, e.g.: .. code-block:: python from intake.catalog import Catalog from intake.catalog.local import LocalCatalogEntry as Entry cat = intake.catalog.Catalog() cat._entries = {name: Entry(name, descr, driver='package.module.driver', args={"urlpath": url}) for name, url in my_input_list} If your package contains many sources of different types, you may even nest the catalogs, i.e., have a top-level whose contents are also catalogs. .. code-block:: python e = Entry('first_cat', 'sample', driver='catalog') e._default_source = cat top_level = Catalog() top_level._entries = {'fist_cat': e, ...} where your entry point might look something like: ``"my_cat = my_package:top_level"``. You could achieve the same with multiple YAML files. intake-0.6.5/docs/source/deployments.rst000066400000000000000000000135441416666122400203410ustar00rootroot00000000000000Deployment Scenarios -------------------- In the following sections, we will describe some of the ways in which Intake is used in real production systems. These go well beyond the typical YAML files presented in the quickstart and examples sections, which are necessarily short and simple, and do not demonstrate the full power of Intake. Sharing YAML files ~~~~~~~~~~~~~~~~~~ This is the simplest scenario, and amply described in these documents. The primary advantage is simplicity: it is enough to put a file in an accessible place (even a gist or repo), in order for someone else to be able to discover and load that data. Furthermore, such files can easily refer to one-another, to build up a full tree of data assets with minimum pain Since YAML files are text, this also lends itself to working well with version control systems. Furthermore, all sources can describe themselves as YAML, and the ``export`` and ``upload`` commands can produce an efficient format (possibly remote) together with YAML definition in a single step. Pangeo ~~~~~~ The `Pangeo`_ collaboration uses Intake to catalog their data holdings, which are generally in various forms of netCDF-compliant formats, massive multi-dimensional arrays with data relating to earth and climate science and meteorology. On their cloud-based platform, containers start up jupyter-lab sessions which have Intake installed, and therefore can simply pick and load the data that each researcher needs - often requiring large Dask clusters to actually do the processing. A `static `__ rendering of the catalog contents is available, so that users can browse the holdings without even starting a python session. This rendering is produced by CI on the `repo `__ whenever new definitions are added, and it also checks (using Intake) that each definition is indeed loadable. Pangeo also developed intake-stac, which can talk to STAC servers to make real-time queries and parse the results into Intake data sources. This is a standard for spaceo-temporal data assets, and indexes massive amounts of cloud-stored data. .. _Pangeo: http://pangeo.io/ Anaconda Enterprise ~~~~~~~~~~~~~~~~~~~ Intake will be the basis of the data access and cataloging service within `Anaconda Enterprise`_, running as a micro-service in a container, and offering data source definitions to users. The access control, who gets to see which data-set, and serving of credentials to be able to read from the various data storage services, will all be handled by the platform and be fully configurable by admins. .. _Anaconda Enterprise: https://www.anaconda.com/enterprise/ National Center for Atmospheric Research ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ NCAR has developed `intake-esm`_, a mechanism for creating file-based Intake catalogs for climate data from project efforts such as the `Coupled Model Intercomparison Project (CMIP)`_ and the `Community Earth System Model (CESM) Large Ensemble Project`_. These projects produce a huge of amount climate data persisted on tape, disk storage components across multiple (of the order ~300,000) netCDF files. Finding, investigating, loading these files into data array containers such as `xarray` can be a daunting task due to the large number of files a user may be interested in. ``Intake-esm`` addresses this issue in three steps: - `Datasets Collection Curation`_ in form of YAML files. These YAML files provide information about data locations, access pattern, directory structure, etc. ``intake-esm`` uses these YAML files in conjunction with file name templates to construct a local database. Each row in this database consists of a set of metadata such as ``experiment``, ``modeling realm``, ``frequency`` corresponding to data contained in one netCDF file. .. code-block:: python col = intake.open_esm_metadatastore(collection_input_definition="GLADE-CMIP5") - Search and Discovery: once the database is built, ``intake-esm`` can be used for searching and discovering of climate datasets by eliminating the need for the user to know specific locations (file path) of their data set of interest: .. code-block:: python cat = col.search(variable=['hfls'], frequency='mon', modeling_realm='atmos', institute=['CCCma', 'CNRM-CERFACS']) - Access: when the user is satisfied with the results of their query, they can ask ``intake-esm`` to load the actual netCDF files into xarray datasets: .. code-block:: python dsets = cat.to_xarray(decode_times=True, chunks={'time': 50}) .. _intake-esm: https://github.com/NCAR/intake-esm .. _Datasets Collection Curation: https://github.com/NCAR/intake-esm-datastore .. _Coupled Model Intercomparison Project (CMIP): https://www.wcrp-climate.org/wgcm-cmip .. _Community Earth System Model (CESM) Large Ensemble Project: http://www.cesm.ucar.edu/projects/community-projects/LENS/ Brookhaven Archive ~~~~~~~~~~~~~~~~~~ The `Bluesky`_ project uses Intake to dynamically query a MongoDB instance, which holds the details of experimental and simulation data collections, to return a custom Catalog for every query. Data-sets can then be loaded into python, or the original raw data can be accessed ... .. _Bluesky: https://github.com/bluesky/intake-bluesky Zillow ~~~~~~ Zillow is developing Intake to meet the needs of their datalake access layer (DAL), to encapsulate the highly hierarchical nature of their data. Of particular importance, is the ability to provide different version (testing/production, and different storage formats) of the same logical dataset, depending on whether it is being read on a laptop versus the production infrastructure ... Intake Server ~~~~~~~~~~~~~ The server protocol (see :ref:`server`) is simple enough that anyone can write their own implementation with full customisation and behaviour. In particular, auth and monitoring would be essential for a production-grade deployment. intake-0.6.5/docs/source/examples.rst000066400000000000000000000124301416666122400176050ustar00rootroot00000000000000Examples ======== Here we list links to notebooks and other code demonstrating the use of Intake in various scenarios. The first section is of general interest to various users, and the sections that follow tend to be more specific about particular features and workflows. Many of the entries here include a link to Binder, which a service that lest you execute code live in a notebook environment. This is a great way to experience using Intake. It can take a while, sometimes, for Binder to come up; please have patience. See also the `examples`_ repository, containing data-sets which can be built and installed as conda packages. .. _examples: https://github.com/intake/intake-examples/ General ------- - Basic Data scientist workflow: using Intake [`Static `__] [`Executable `__]. - Workflow for creating catalogs: a Data Engineer's approach to Intake [`Static `__] [`Executable `__] Developer --------- Tutorials delving deeper into the Internals of Intake, for those who wish to contribute - How you would go about writing a new plugin [`Static `__] [`Executable `__] Features -------- More specific examples of Intake functionality - Caching: - New-style data package creation [`Static `__] - Using automatically cached data-files [`Static `__] [`Executable `__] - Earth science demonstration of cached dataset [`Static `__] [`Executable `__] - File-name pattern parsing: - Satellite imagery, science workflow [`Static `__] [`Executable `__] - How to set up pattern parsing [`Static `__] [`Executable `__] - Custom catalogs: - A custom intake plugin that adapts DCAT catalogs [`Static `__] [`Executable `__] Data ---- - `Anaconda package data`_, originally announced in `this blog`_ - `Planet Four Catalog`_, originally from https://www.planetfour.org/results - The official Intake `examples`_ .. _Anaconda package data: https://github.com/ContinuumIO/anaconda-package-data .. _this blog: https://www.anaconda.com/announcing-public-anaconda-package-download-data/ .. _Planet Four Catalog: https://github.com/michaelaye/p4catalog Blogs ----- These are Intake-related articles that may be of interest. - `Discovering and Exploring Data in a Graphical Interface`_ - `Taking the Pain out of Data Access`_ - `Caching Data on First Read Makes Future Analysis Faster`_ - `Parsing Data from Filenames and Paths`_ - `Intake for cataloguing Spark`_ - `Intake released on Conda-Forge`_ .. _Discovering and Exploring Data in a Graphical Interface: https://www.anaconda.com/intake-discovering-and-exploring-data-in-a-graphical-interface/ .. _Intake for cataloguing Spark: https://www.anaconda.com/intake-for-cataloging-spark/ .. _Taking the Pain out of Data Access: https://www.anaconda.com/intake-taking-the-pain-out-of-data-access/ .. _Caching Data on First Read Makes Future Analysis Faster: https://www.anaconda.com/intake-caching-data-on-first-read-makes-future-analysis-faster/ .. _Parsing Data from Filenames and Paths: https://www.anaconda.com/intake-parsing-data-from-filenames-and-paths/ .. _Intake released on Conda-Forge: https://www.anaconda.com/intake-released-on-conda-forge/ Talks ----- - `__init__ podcast interview (May 2019)`_ - `AnacondaCon (March 2019)`_ - `PyData DC (November 2018)`_ - `PyData NYC (October 2018)`_ - `ESIP tech dive (November 2018)`_ .. _\__init__ podcast interview (May 2019): https://www.pythonpodcast.com/intake-data-catalog-episode-213/ .. _ESIP tech dive (November 2018): https://www.youtube.com/watch?v=PSD7r3JFml0&feature=youtu.be .. _PyData DC (November 2018): https://www.youtube.com/watch?v=OvZFtePHKXw .. _PyData NYC (October 2018): https://www.youtube.com/watch?v=pjkMmJQfTb8 .. _AnacondaCon (March 2019): https://www.youtube.com/watch?v=oyZJrROQzUs News ---- - See out `Wiki`_ page .. _Wiki: https://github.com/intake/intake/wiki/Community-News intake-0.6.5/docs/source/glossary.rst000066400000000000000000000177611416666122400176460ustar00rootroot00000000000000Glossary ======== .. glossary:: Argument One of a set of values passed to a function or class. In the Intake sense, this usually is the set of key-value pairs defined in the "args" section of a source definition; unless the user overrides, these will be used for instantiating the source. Cache Local copies of remote files. Intake allows for download-on-first-use for data-sources, so that subsequent access is much faster, see :ref:`caching`. The format of the files is unchanged in this case, but may be decompressed. Catalog A collection of entries, each of which corresponds to a specific :term:`Data-set`. Within these docs, a catalog is most commonly defined in a :term:`YAML` file, for simplicity, but there are other possibilities, such as connecting to an Intake server or another third-party data service, like a SQL database. Thus, catalogs form a hierarchy: any catalog can contain other, nested catalogs. Catalog file A :term:`YAML` specification file which contains a list of named entries describing how to load data sources. :doc:`catalog`. Conda A package and environment management package for the python ecosystem, see the `conda website`_. Conda ensures dependencies and correct versions are installed for you, provides precompiled, binary-compatible software, and extends to many languages beyond python, such as R, javascript and C. Conda package A single installable item which the :term:`Conda` application can install. A package may include a :term:`Catalog`, data-files and maybe some additional code. It will also include a specification of the dependencies that it requires (e.g., Intake and any additional :term:`Driver`), so that Conda can install those automatically. Packages can be created locally, or can be found on `anaconda.org`_ or other package repositories. Container One of the supported data formats. Each :term:`Driver` outputs its data in one of these. The containers correspond to familiar data structures for end-analysis, such as list-of-dicts, Numpy nd-array or Pandas data-frame. Data-set A specific collection of data. The type of data (tabular, multi-dimensional or something else) and the format (file type, data service type) are all attributes of the data-set. In addition, in the context of Intake, data-sets are usually entries within a :term:`Catalog` with additional descriptive text and metadata and a specification of *how* to load the data. Data Source An Intake specification for a specific :term:`Data-set`. In most cases, the two terms are synonymous. Data User A person who uses data to produce models and other inferences/conclusions. This person generally uses standard python analysis packages like Numpy, Pandas, SKLearn and may produce graphical output. They will want to be able to find the right data for a given job, and for the data to be available in a standard format as quickly and easily as possible. In many organisations, the appropriate job title may be Data Scientist, but research scientists and BI/analysts also fit this description. Data packages Data packages are standard conda packages that install an Intake catalog file into the user’s conda environment ($CONDA_PREFIX/share/intake). A data package does not necessarily imply there are data files inside the package. A data package could describe remote data sources (such as files in S3) and take up very little space on disk. Data Provider A person whose main objective is to curate data sources, get them into appropriate formats, describe the contents, and disseminate the data to those that need to use them. Such a person may care about the specifics of the storage format and backing store, the right number of fields to keep and removing bad data. They may have a good idea of the best way to visualise any give data-set. In an organisation, this job may be known as Data Engineer, but it could as easily be done by a member of the IT team. These people are the most likely to author :term:`Catalogs`. Developer A person who writes or fixes code. In the context of Intake, a developer may make new format :term:`Drivers`, create authentication systems or add functionality to Intake itself. They can take existing code for loading data in other projects, and use Intake to add extra functionality to it, for instance, remote data access, parallel processing, or file-name parsing. Driver The thing that does the work of reading the data for a catalog entry is known as a driver, often referred to using a simple name such as "csv". Intake has a plugin architecture, and new drivers can be created or installed, and specific catalogs/data-sets may require particular drivers for their contained data-sets. If installed as :term:`Conda` packages, then these requirements will be automatically installed for you. The driver's output will be a :term:`Container`, and often the code is a simpler layer over existing functionality in a third-party package. GUI A Graphical User Interface. Intake comes with a GUI for finding and selecting data-sets, see :doc:`gui`. IT The Information Technology team for an organisation. Such a team may have control of the computing infrastructure and security (sys-ops), and may well act as gate-keepers when exposing data for use by other colleagues. Commonly, IT has stronger policy enforcement requirements that other groups, for instance requiring all data-set copy actions to be logged centrally. Persist A process of making a local version of a data-source. One canonical format is used for each of the container types, optimised for quick and parallel access. This is particularly useful if the data takes a long time to acquire, perhaps because it is the result of a complex query on a remote service. The resultant output can be set to expire and be automatically refreshed, see :doc:`persisting`. Not to be confused with the :term:`cache`. Plugin Modular extra functionality for Intake, provided by a package that is installed separately. The most common type of plugin will be for a :term:`Driver` to load some particular data format; but other parts of Intake are pluggable, such as authentication mechanisms for the server. Server A remote source for Intake catalogs. The server will provide data source specifications (i.e., a remote :term:`Catalog`), and may also provide the raw data, in situations where the client is not able or not allowed to access it directly. As such, the server can act as a gatekeeper of the data for security and monitoring purposes. The implementation of the server in Intake is accessible as the ``intake-server`` command, and acts as a reference: other implementations can easily be created for specific circumstances. TTL Time-to-live, how long before the given entity is considered to have expired. Usually in seconds. User Parameter A data source definition can contain a "parameters" section, which can act as explicit decision indicators for the user, or as validation and type coersion for the definition's :term:`Argument` s. See :ref:`paramdefs`. YAML A text-based format for expressing data with a dictionary (key-value) and list structure, with a limited number of data-types, such as strings and numbers. YAML uses indentations to nest objects, making it easy to read and write for humans, compared to JSON. Intake's catalogs and config are usually expressed in YAML files. .. _conda website: https://conda.io/docs/ .. _anaconda.org: http://anaconda.org intake-0.6.5/docs/source/gui.rst000066400000000000000000000147011416666122400165560ustar00rootroot00000000000000GUI === Using the GUI ------------- **Note**: the GUI requires ``panel`` and ``bokeh`` to be available in the current environment. The Intake top-level singleton ``intake.gui`` gives access to a graphical data browser within the Jupyter notebook. To expose it, simply enter it into a code cell (Jupyter automatically display the last object in a code cell). .. image:: _static/images/gui_builtin.png New instances of the GUI are also available by instantiating ``intake.interface.gui.GUI``, where you can specify a list of catalogs to initially include. The GUI contains three main areas: - a **list of catalogs**. The "builtin" catalog, displayed by default, includes data-sets installed in the system, the same as ``intake.cat``. - a **list of sources** within the currently selected catalog. - a **description** of the currently selected source. Catalogs -------- Selecting a catalog from the list will display nested catalogs below the parent and display source entries from the catalog in the **list of sources**. Below the **lists of catalogs** is a row of buttons that are used for adding, removing and searching-within catalogs: - **Add**: opens a sub-panel for adding catalogs to the interface, by either browsing for a local YAML file or by entering a URL for a catalog, which can be a remote file or Intake server - **Remove**: deletes the currently selected catalog from the list - **Search**: opens a sub-panel for finding entries in the currently selected catalog (and its sub-catalogs) Add Catalogs ~~~~~~~~~~~~ The Add button (+) exposes a sub-panel with two main ways to add catalogs to the interface: .. image:: _static/images/gui_add.png This panel has a tab to load files from **local**; from that you can navigate around the filesystem using the arrow or by editing the path directly. Use the home button to get back to the starting place. Select the catalog file you need. Use the "Add Catalog" button to add the catalog to the list above. .. image:: _static/images/gui_add_local.png Another tab loads a catalog from **remote**. Any URL is valid here, including cloud locations, ``"gcs://bucket/..."``, and intake servers, ``"intake://server:port"``. Without a protocol specifier, this can be a local path. Again, use the "Add Catalog" button to add the catalog to the list above. .. image:: _static/images/gui_add_remote.png Finally, you can add catalogs to the interface in code, using the ``.add()`` method, which can take filenames, remote URLs or existing ``Catalog`` instances. Remove Catalogs ~~~~~~~~~~~~~~~ The Remove button (-) deletes the currently selected catalog from the list. It is important to note that this action does not have any impact on files, it only affects what shows up in the list. .. image:: _static/images/gui_remove.png Search ~~~~~~ The sub-panel opened by the Search button (🔍) allows the user to search within the selected catalog .. image:: _static/images/gui_search.png From the Search sub-panel the user enters for free-form text. Since some catalogs contain nested sub-catalogs, the Depth selector allows the search to be limited to the stated number of nesting levels. This may be necessary, since, in theory, catalogs can contain circular references, and therefore allow for infinite recursion. .. image:: _static/images/gui_search_inputs.png Upon execution of the search, the currently selected catalog will be searched. Entries will be considered to match if any of the entered words is found in the description of the entry (this is case-insensitive). If any matches are found, a new entry will be made in the catalog list, with the suffix "_search". .. image:: _static/images/gui_search_cat.png Sources ------- Selecting a source from the list updates the description text on the left-side of the gui. Below the **list of sources** is a row of buttons for inspecting the selected data source: - **Plot**: opens a sub-panel for viewing the pre-defined (specified in the yaml) plots for the selected source. Plot ~~~~ The Plot button (📊) opens a sub-panel with an area for viewing pre-defined plots. .. image:: _static/images/gui_plot.png These plots are specified in the catalog yaml and that yaml can be displayed by checking the box next to "show yaml". .. image:: _static/images/gui_plot_yaml.png The holoviews object can be retrieved from the gui using ``intake.interface.source.plot.pane.object``, and you can then use it in Python or export it to a file. Interactive Visualization ''''''''''''''''''''''''' If you have installed the optional extra packages `dfviz`_ and `xrviz`_, you can interactively plot your dataframe or array data, respectively. .. image:: _static/images/custom_button.png .. _dfviz: https://dfviz.readthedocs.io/ .. _xrviz: https://xrviz.readthedocs.io/ The button "customize" will be available for data sources of the appropriate type. Click this to open the interactive interface. If you have not selected a predefined plot (or there are none), then the interface will start without any prefilled values, but if you do first select a plot, then the interface will have its options pre-filled from the options For specific instructions on how to use the interfaces (which can also be used independently of the Intake GUI), please navigate to the linked documentation. Note that the final parameters that are sent to ``hvPlot`` to produce the output each time a plot if updated, are explicitly available in YAML format, so that you can save the state as a "predefined plot" in the catalog. The same set of parameters can also be used in code, with ``datasource.plot(...)``. .. image:: _static/images/YAMLtab.png Using the Selection ------------------- Once catalogs are loaded and the desired sources has been identified and selected, the selected sources will be available at the ``.sources`` attribute (``intake.gui.sources``). Each source entry has informational methods available and can be opened as a data source, as with any catalog entry: .. code-block:: python In [ ]: source_entry = intake.gui.sources[0] source_entry Out : name: sea_ice_origin container: dataframe plugin: ['csv'] description: Arctic/Antarctic Sea Ice direct_access: forbid user_parameters: [] metadata: args: urlpath: https://timeseries.weebly.com/uploads/2/1/0/8/21086414/sea_ice.csv In [ ]: data_source = source_entry() # may specify parameters here data_source.read() Out : < some data > In [ ]: source_entry.plot() # or skip data source step Out : < graphics> intake-0.6.5/docs/source/guide.rst000066400000000000000000000005151416666122400170650ustar00rootroot00000000000000User Guide ---------- More detailed information about specific parts of Intake, such as how to author catalogs, how to use the graphical interface, plotting, etc. .. toctree:: :maxdepth: 1 gui.rst catalog.rst tools.rst persisting.rst plotting.rst plugin-directory.rst server.rst transforms.rst intake-0.6.5/docs/source/index.rst000066400000000000000000000121521416666122400170770ustar00rootroot00000000000000.. raw:: html Intake Logo Intake ====== *Taking the pain out of data access and distribution* Intake is a lightweight package for finding, investigating, loading and disseminating data. It will appeal to different groups for some of the reasons below, but is useful for all and acts as a common platform that everyone can use to smooth the progression of data from developers and providers to users. Intake contains the following main components. You *do not* need to use them all! The library is modular, only use the parts you need: * A set of **data loaders** (:term:`Drivers`) with a common interface, so that you can investigate or load anything, from local or remote, with the exact same call, and turning into data structures that you already know how to manipulate, such as arrays and data-frames. * A **Cataloging system** (:term:`Catalogs`) for listing data sources, their metadata and parameters, and referencing which of the Drivers should load each. The catalogs for a hierarchical, searchable structure, which can be backed by files, Intake servers or third-party data services * Sets of **convenience functions** to apply to various data sources, such as data-set persistence, automatic concatenation and metadata inference and the ability to distribute catalogs and data sources using simple packaging abstractions. * A **GUI layer** accessible in the Jupyter notebook or as a standalone webserver, which allows you to find and navigate catalogs, investigate data sources, and plot either predefined visualisations or interactively find the right view yourself * A **client-server protocol** to allow for arbitrary data cataloging services or to serve the data itself, with a pluggable auth model. :term:`Data User` ----------------- .. raw:: html Line graph * Intake loads the data for a range of formats and types (see :ref:`plugin-directory`) into containers you already use, like Pandas dataframes, Python lists, NumPy arrays, and more * Intake loads, then gets out of your way * GUI search and introspect data-sets in :term:`Catalogs`: quickly find what you need to do your work * Install data-sets and automatically get requirements * Leverage cloud resources and distributed computing. See the executable tutorial: .. image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/intake/intake-examples/master?filepath=tutorial%2Fdata_scientist.ipynb :term:`Data Provider` --------------------- .. raw:: html Grid * Simple spec to define data sources * Single point of truth, no more copy&paste * Distribute data using packages, shared files or a server * Update definitions in-place * Parametrise user options * Make use of additional functionality like filename parsing and caching. See the executable tutorial: .. image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/intake/intake-examples/master?filepath=tutorial%2Fdata_engineer.ipynb :term:`IT` ---------- .. raw:: html FA-terminal * Create catalogs out of established departmental practices * Provide data access credentials via Intake parameters * Use server-client architecture as gatekeeper: * add authentication methods * add monitoring point; track the data-sets being accessed. * Hook Intake into proprietary data access systems. :term:`Developer` ----------------- .. raw:: html Python code * Turn boilerplate code into a reusable :term:`Driver` * Pluggable architecture of Intake allows for many points to add and improve * Open, simple code-base -- come and get involved on `github`_! .. _github: https://github.com/intake/intake See the executable tutorial: .. image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/intake/intake-examples/master?filepath=tutorial%2Fdev.ipynb First steps =========== The :doc:`start` document contains the sections that all users new to Intake should read through. :ref:`usecases` shows specific problems that Intake solves. For a brief demonstration, which you can execute locally, go to :doc:`quickstart`. For a general description of all of the components of Intake and how they fit together, go to :doc:`overview`. Finally, for some notebooks using Intake and articles about Intake, go to :doc:`examples` and `intake-examples`_. These and other documentation pages will make reference to concepts that are defined in the :doc:`glossary`. .. _intake-examples: https://github.com/intake/intake-examples | | .. toctree:: :maxdepth: 1 :hidden: start.rst guide.rst reference.rst roadmap.rst glossary.rst community.rst Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` intake-0.6.5/docs/source/making-plugins.rst000066400000000000000000000503561416666122400207250ustar00rootroot00000000000000Making Drivers ============== The goal of the Intake plugin system is to make it very simple to implement a :term:`Driver` for a new data source, without any special knowledge of Dask or the Intake catalog system. Assumptions ----------- Although Intake is very flexible about data, there are some basic assumptions that a driver must satisfy. Data Model '''''''''' Intake currently supports 3 kinds of containers, represented the most common data models used in Python: * dataframe * ndarray * python (list of Python objects, usually dictionaries) Although a driver can load *any* type of data into any container, and new container types can be added to the list above, it is reasonable to expect that the number of container types remains small. Declaring a container type is only informational for the user when read locally, but streaming of data from a server requires that the container type be known to both server and client. A given driver must only return one kind of container. If a file format (such as HDF5) could reasonably be interpreted as two different data models depending on usage (such as a dataframe or an ndarray), then two different drivers need to be created with different names. If a driver returns the ``python`` container, it should document what Python objects will appear in the list. The source of data should be essentially permanent and immutable. That is, loading the data should not destroy or modify the data, nor should closing the data source destroy the data either. When a data source is serialized and sent to another host, it will need to be reopened at the destination, which may cause queries to be re-executed and files to be reopened. Data sources that treat readers as "consumers" and remove data once read will cause erratic behavior, so Intake is not suitable for accessing things like FIFO message queues. Schema '''''' The schema of a data source is a detailed description of the data, which can be known by loading only metadata or by loading only some small representative portion of the data. It is information to present to the user about the data that they are considering loading, and may be important in the case of server-client communication. In the latter context, the contents of the schema must be serializable by ``msgpack`` (i.e., numbers, strings, lists and dictionaries only). There may be unknown parts of the schema before the whole data is read. drivers may require this unknown information in the `__init__()` method (or the catalog spec), or do some kind of partial data inspection to determine the schema; or more simply, may be given as unknown ``None`` values. Regardless of method used, the time spent figuring out the schema ahead of time should be short and not scale with the size of the data. Typical fields in a schema dictionary are ``npartitions``, ``dtype``, ``shape``, etc., which will be more appropriate for some drivers/data-types than others. Partitioning '''''''''''' Data sources are assumed to be *partitionable*. A data partition is a randomly accessible fragment of the data. In the case of sequential and data-frame sources, partitions are numbered, starting from zero, and correspond to contiguous chunks of data divided along the first dimension of the data structure. In general, any partitioning scheme is conceivable, such as a tuple-of-ints to index the chunks of a large numerical array. Not all data sources can be partitioned. For example, file formats without sufficient indexing often can only be read from beginning to end. In these cases, the DataSource object should report that there is only 1 partition. However, it often makes sense for a data source to be able to represent a directory of files, in which case each file will correspond to one partition. Metadata '''''''' Once opened, a DataSource object can have arbitrary metadata associated with it. The metadata for a data source should be a dictionary that can be serialized as JSON. This metadata comes from the following sources: 1. A data catalog entry can associate fixed metadata with the data source. This is helpful for data formats that do not have any support for metadata within the file format. 2. The driver handling the data source may have some general metadata associated with the state of the system at the time of access, available even before loading any data-specific information. 2. A driver can add additional metadata when the schema is loaded for the data source. This allows metadata embedded in the data source to be exported. From the user perspective, all of the metadata should be loaded once the data source has loaded the rest of the schema (after ``discover()``, ``read()``, ``to_dask()``, etc have been called). Subclassing ``intake.source.base.DataSourceBase`` ------------------------------------------------- Every Intake driver class should be a subclass of ``intake.source.base.DataSource``. The class should have the following attributes to identify itself: - ``name``: The short name of the driver. This should be a valid python identifier. You should not include the word ``intake`` in the driver name. - ``version``: A version string for the driver. This may be reported to the user by tools based on Intake, but has no semantic importance. - ``container``: The container type of data sources created by this object, e.g., ``dataframe``, ``ndarray``, or ``python``, one of the keys of ``intake.container.container_map``. For simplicity, a driver many only return one typed of container. If a particular source of data could be used in multiple ways (such as HDF5 files interpreted as dataframes or as ndarrays), two drivers must be created. These two drivers can be part of the same Python package. - ``partition_access``: Do the data sources returned by this driver have multiple partitions? This may help tools in the future make more optimal decisions about how to present data. If in doubt (or the answer depends on init arguments), ``True`` will always result in correct behavior, even if the data source has only one partition. The ``__init()__`` method should always accept a keyword argument ``metadata``, a dictionary of metadata from the catalog to associate with the source. This dictionary must be serializable as JSON. The `DataSourceBase` class has a small number of methods which should be overridden. Here is an example producing a data-frame:: class FooSource(intake.source.base.DataSource): container = 'dataframe' name = 'foo' version = '0.0.1' partition_access = True def __init__(self, a, b, metadata=None): # Do init here with a and b super(FooSource, self).__init__( metadata=metadata ) def _get_schema(self): return intake.source.base.Schema( datashape=None, dtype={'x': "int64", 'y': "int64"}, shape=(None, 2), npartitions=2, extra_metadata=dict(c=3, d=4) ) def _get_partition(self, i): # Return the appropriate container of data here return pd.DataFrame({'x': [1, 2, 3], 'y': [10, 20, 30]}) def read(self): self._load_metadata() return pd.concat([self.read_partition(i) for i in range(self.npartitions)]) def _close(self): # close any files, sockets, etc pass Most of the work typically happens in the following methods: - ``__init__()``: Should be very lightweight and fast. No files or network resources should be opened, and no significant memory should be allocated yet. Data sources might be serialized immediately. The default implementation of the pickle protocol in the base class will record all the arguments to ``__init__()`` and recreate the object with those arguments when unpickled, assuming the class has no side effects. - ``_get_schema()``: May open files and network resources and return as much of the schema as possible in small amount of *approximately* constant time. Typically, imports of packages needed by the source only happen here. The ``npartitions`` and ``extra_metadata`` attributes must be correct when ``_get_schema`` returns. Further keys such as ``dtype``, ``shape``, etc., should reflect the container type of the data-source, and can be ``None`` if not easily knowable, or include ``None`` for some elements. File-based sources should use fsspec to open a local or remote URL, and pass ``storage_options`` to it. This ensures compatibility and extra features such as caching. If the backend can only deal with local files, you may still want to use ``fsspec.open_local`` to allow for caching. - ``_get_partition(self, i)``: Should return all of the data from partition id ``i``, where ``i`` is typically an integer, but may be something more complex. The base class will automatically verify that ``i`` is in the range ``[0, npartitions)``, so no range checking is required in the typical case. - ``_close(self)``: Close any network or file handles and deallocate any significant memory. Note that these resources may be need to be reopened/reallocated if a read is called again later. The full set of user methods of interest are as follows: - ``discover(self)``: Read the source attributes, like ``npartitions``, etc. As with ``_get_schema()`` above, this method is assumed to be fast, and make a best effort to set attributes. The output should be serializable, if the source is to be used on a server; the details contained will be used for creating a remote-source on the client. - ``read(self)``: Return all the data in memory in one in-memory container. - ``read_chunked(self)``: Return an iterator that returns contiguous chunks of the data. The chunking is generally assumed to be at the partition level, but could be finer grained if desired. - ``read_partition(self, i)``: Returns the data for a given partition id. It is assumed that reading a given partition does not require reading the data that precedes it. If ``i`` is out of range, an ``IndexError`` should be raised. - ``to_dask(self)``: Return a (lazy) Dask data structure corresponding to this data source. It should be assumed that the data can be read from the Dask workers, so the loads can be done in future tasks. For further information, see the `Dask documentation `_. - ``close(self)``: Close network or file handles and deallocate memory. If other methods are called after ``close()``, the source is automatically reopened. - ``to_*``: for some sources, it makes sense to provide alternative outputs aside from the base container (dataframe, array, ...) and Dask variants. Note that all of these methods typically call ``_get_schema``, to make sure that the source has been initialised. Subclassing ``intake.source.base.DataSource`` --------------------------------------------- ``DataSource`` provides the same functionality as ``DataSourceBase``, but has some additional mixin classes to provide some extras. A developer may choose to derive from ``DataSource`` to get all of these, or from ``DataSourceBase`` and make their own choice of mixins to support. - ``HoloviewsMixin``: provides plotting and GUI capabilities via the `holoviz`_ stack - ``PersistMixin``: allows for storing a local copy in a default format for the given container type - ``CacheMixin``: allows for local storage of data files for a source. Deprecated, you should use one of the caching mechanisms in ``fsspec``. .. _holoviz: https://holoviz.org/index.html .. _driver-discovery: Driver Discovery ---------------- Intake discovers available drivers in three different ways, described below. After the discovery phase, Intake will automatically create ``open_[driver_name]`` convenience functions under the ``intake`` module namespace. Calling a function like ``open_csv()`` is equivalent to instantiating the corresponding data-source class. Entrypoints ''''''''''' If you are packaging your driver into an installable package to be shared, you should add the following to the package's ``setup.py``: .. code-block:: python setup( ... entry_points={ 'intake.drivers': [ 'some_format_name = some_package.and_maybe_a_submodule:YourDriverClass', ... ] }, ) .. important:: Some critical details of Python's entrypoints feature: * Note the unusual syntax of the entrypoints. Each item is given as one long string, with the ``=`` as part of the string. Modules are separated by ``.``, and the final object name is preceded by ``:``. * The right hand side of the equals sign must point to where the object is *actually defined*. If ``YourDriverClass`` is defined in ``foo/bar.py`` and imported into ``foo/__init__.py`` you might expect ``foo:YourDriverClass`` to work, but it does not. You must spell out ``foo.bar:YourDriverClass``. Entry points are a way for Python packages to advertise objects with some common interface. When Intake is imported, it discovers all packages installed in the current environment that advertise ``'intake.drivers'`` in this way. Most packages that define intake drivers have a dependency on ``intake`` itself, for example in order to use intake's base classes. This can create a ciruclar dependency: importing the package imports intake, which tries to discover and import packages that define drivers. To avoid this pitfall, just ensure that ``intake`` is imported first thing in your package's ``__init__.py``. This ensures that the driver-discovery code runs first. Note that you are *not* required to make your package depend on intake. The rule is that *if* you import ``intake`` you must import it first thing. If you do not import intake, there is no circularity. Configuration ''''''''''''' The intake configuration file can be used to: * Specify precedence in the event of name collisions---for example, if two different ``csv`` drivers are installed. * Disable a troublesome driver. * Manually make intake aware of a driver, which can be useful for experimentation and early development until a ``setup.py`` with an entrypoint is prepared. * Assign a driver to a name other than the one assigned by the driver's author. The commandline invocation .. code-block:: bash intake drivers enable some_format_name some_package.and_maybe_a_submodule.YourDriverClass is equivalent to adding this to your intake configuration file: .. code-block:: yaml drivers: some_format_name: some_package.and_maybe_a_submodule.YourDriverClass You can also disable a troublesome driver .. code-block:: bash intake drivers disable some_format_name which is equivalent to .. code-block:: yaml drivers: your_format_name: false Deprecated: Package Scan '''''''''''''''''''''''' When Intake is imported, it will search the Python module path (by default includes ``site-packages`` and other directories in your ``$PYTHONPATH``) for packages starting with ``intake\_`` and discover DataSource subclasses inside those packages to register. drivers will be registered based on the``name`` attribute of the object. By convention, drivers should have names that are lowercase, valid Python identifiers that do not contain the word ``intake``. This approach is deprecated because it is limiting (requires the package to begin with "intake\_") and because the package scan can be slow. Using entrypoints is strongly encouraged. The package scan *may* be disabled by default in some future release of intake. During the transition period, if a package named ``intake_*`` provides an entrypoint for a given name, that will take precedence over any drivers gleaned from the package scan having that name. If intake discovers any names from the package scan for which there are no entrypoints, it will issue a ``FutureWarning``. Python API to Driver Discovery '''''''''''''''''''''''''''''' .. autofunction:: intake.source.discovery.autodiscover .. autofunction:: intake.source.discovery.enable .. autofunction:: intake.source.discovery.disable .. _remote_data: Remote Data ----------- For drivers loading from files, the author should be aware that it is easy to implement loading from files stored in remote services. A simplistic case is demonstrated by the included CSV driver, which simply passes a URL to Dask, which in turn can interpret the URL as a remote data service, and use the ``storage_options`` as required (see the Dask documentation on `remote data`_). .. _remote data: http://dask.pydata.org/en/latest/remote-data-services.html More advanced usage, where a Dask loader does not already exist, will likely rely on `fsspec.open_files`_ . Use this function to produce lazy ``OpenFile`` object for local or remote data, based on a URL, which will have a protocol designation and possibly contain glob "*" characters. Additional parameters may be passed to ``open_files``, which should, by convention, be supplied by a driver argument named ``storage_options`` (a dictionary). .. _fsspec.open_files: https://filesystem-spec.readthedocs.io/en/latest/api.html#fsspec.open_files To use an ``OpenFile`` object, make it concrete by using a context: .. code-block:: python # at setup, to discover the number of files/partitions set_of_open_files = fsspec.open_files(urlpath, mode='rb', **storage_options) # when actually loading data; here we loop over all files, but maybe we just do one partition for an_open_file in set_of_open_files: # `with` causes the object to become concrete until the end of the block with an_open_file as f: # do things with f, which is a file-like object f.seek(); f.read() The ``textfiles`` builtin drivers implements this mechanism, as an example. Structured File Paths --------------------- The CSV driver sets up an example of how to gather data which is encoded in file paths like (``'data_{site}_.csv'``) and return that data in the output. Other drivers could also follow the same structure where data is being loaded from a set of filenames. Typically this would apply to data-frame output. This is possible as long as the driver has access to each of the file paths at some point in ``_get_schema``. Once the file paths are known, the driver developer can use the helper functions defined in ``intake.source.utils`` to get the values for each field in the pattern for each file in the list. These values should then be added to the data, a process which normally would happen within the _get_schema method. The PatternMixin defines driver properties such as urlpath, path_as_pattern, and pattern. The implementation might look something like this:: from intake.source.utils import reverse_formats class FooSource(intake.source.base.DataSource, intake.source.base.PatternMixin): def __init__(self, a, b, path_as_pattern, urlpath, metadata=None): # Do init here with a and b self.path_as_pattern = path_as_pattern self.urlpath = urlpath super(FooSource, self).__init__( container='dataframe', metadata=metadata ) def _get_schema(self): # read in the data values_by_field = reverse_formats(self.pattern, file_paths) # add these fields and map values to the data return data Since dask already has a specific method for including the file paths in the output dataframe, in the CSV driver we set ``include_path_column=True``, to get a dataframe where one of the columns contains all the file paths. In this case, `add these fields and values to data` is a mapping between the categorical file paths column and the ``values_by_field``. In other drivers where each file is read in independently the driver developer can set the new fields on the data from each file before concattenating. This pattern looks more like:: from intake.source.utils import reverse_format class FooSource(intake.source.base.DataSource): ... def _get_schema(self): # get list of file paths for path in file_paths: # read in the file values_by_field = reverse_format(self.pattern, path) # add these fields and values to the data # concatenate the datasets return data To toggle on and off this path as pattern behavior, the CSV and intake-xarray drivers uses the bool ``path_as_pattern`` keyword argument. intake-0.6.5/docs/source/overview.rst000066400000000000000000000102061416666122400176340ustar00rootroot00000000000000Overview ======== Introduction ------------ This page describes the technical design of Intake, with brief details of the aims of the project and components of the library Why Intake? ----------- Intake solves a related set of problems: * Python API standards for loading data (such as DB-API 2.0) are optimized for transactional databases and query results that are processed one row at a time. * Libraries that do load data in bulk tend to each have their own API for doing so, which adds friction when switching data formats. * Loading data into a distributed data structure (like those found in Dask and Spark) often requires writing a separate loader. * Abstractions often focus on just one data model (tabular, n-dimensional array, or semi-structured), when many projects need to work with multiple kinds of data. Intake has the explicit goal of **not** defining a computational expression system. Intake plugins load the data into containers (e.g., arrays or data-frames) that provide their data processing features. As a result, it is very easy to make a new Intake plugin with a relatively small amount of Python. Structure --------- Intake is a Python library for accessing data in a simple and uniform way. It consists of three parts: 1. A lightweight plugin system for adding data loader :term:`drivers` for new file formats and servers (like databases, REST endpoints or other cataloging services) 2. A cataloging system for specifying these sources in simple :term:`YAML` syntax, or with plugins that read source specs from some external data service 3. A server-client architecture that can share data catalog metadata over the network, or even stream the data directly to clients if needed Intake supports loading data into standard Python containers. The list can be easily extended, but the currently supported list is: * Pandas Dataframes - tabular data * NumPy Arrays - tensor data * Python lists of dictionaries - semi-structured data Additionally, Intake can load data into distributed data structures. Currently it supports Dask, a flexible parallel computing library with distributed containers like `dask.dataframe `_, `dask.array `_, and `dask.bag `_. In the future, other distributed computing systems could use Intake to create similar data structures. Concepts -------- Intake is built out of four core concepts: * Data Source classes: the "driver" plugins that each implement loading of some specific type of data into python, with plugin-specific arguments. * Data Source: An object that represents a reference to a data source. Data source instances have methods for loading the data into standard containers, like Pandas DataFrames, but do not load any data until specifically requested. * Catalog: A collection of catalog entries, each of which defines a Data Source. Catalog objects can be created from local YAML definitions, by connecting to remote servers, or by some driver that knows how to query an external data service. * Catalog Entry: A named data source held internally by catalog objects, which generate data source instances when accessed. The catalog entry includes metadata about the source, as well as the name of the driver and arguments. Arguments can be parameterized, allowing one entry to return different subsets of data depending on the user request. The business of a plugin is to go from some data format (bunch of files or some remote service) to a ":term:`Container`" of the data (e.g., data-frame), a thing on which you can perform further analysis. Drivers can be used directly by the user, or indirectly through data catalogs. Data sources can be pickled, sent over the network to other hosts, and reopened (assuming the remote system has access to the required files or servers). See also the :doc:`glossary`. Future Directions ----------------- Ongoing work for enhancements, as well as requests for plugins, etc., can be found at the `issue tracker `_. See the :ref:`roadmap` for general mid- and long-term goals. intake-0.6.5/docs/source/persisting.rst000066400000000000000000000124251416666122400201620ustar00rootroot00000000000000.. _persisting: Persisting Data =============== (this is an experimental new feature, expect enhancements and changes) Introduction ------------ As defined in the glossary, to :term:`Persist` is to convert data into the storage format most appropriate for the container type, and save a copy of this for rapid lookup in the future. This is of great potential benefit where the creation or transfer of the original data source takes some time. This is not to be confused with the file :term:`Cache`. Usage ----- Any :term:`Data Source` has a method ``.persist()``. The only option that you will need to pick is a :term:`TTL`, the number of seconds that the persisted version lasts before expiry (leave as ``None`` for no expiry). This creates a local copy in the persist directory, which may be in ``"~/.intake/persist``, but can be configured. Each container type (dataframe, array, ...) will have its own implementation of persistence, and a particular file storage format associated. The call to ``.persist()`` may take arguments to tune how the local files are created, and in some cases may require additional optional packages to be installed. Example:: cat = intake.open_catalog('mycat.yaml') # load a remote cat source = cat.csvsource() # source pointing to remote data source.persist() source = cat.csvsource() # future use now gives local intake_parquet.ParquetSource To control whether a catalog will automatically give you the persisted version of a source in this way using the argument ``persist_mode``, e.g., to ignore locally persisted versions, you could have done:: cat = intake.open_catalog('mycat.yaml', persist_mode='never') or source = cat.csvsource(persist_mode='never') Note that if you give a TTL (in seconds), then the original source will be accessed and a new persisted version written transparently when the old persisted version has expired. Note that after persisting, the original source will have ``source.has_been_persisted == True`` and the persisted source (i.e., the one loaded from local files) will have ``source.is_persisted == True``. Export ------ A similar concept to Persist, Export allows you to make a copy of some data source, in the format appropriate for its container, and place this data-set in whichever location suits you, including remote locations. This functionality (``source.export()``) does *not* touch the persist store; instead, it returns a YAML text representation of the output, so that you can put it into a catalog of your own. It would be this catalog that you share with other people. Note that "exported" data-sources like this do contain the information of the original source they were made from in their metadata, so you can recreate the original source, if you want to, and read from there. Persisting to Remote -------------------- If you are typically running your code inside of ephemoral containers, then persisting data-sets may be something that you want to do (because the original source is slow, or parsing is CPU/memory intensive), but the local storage is not useful. In some cases you may have access to some shared network storage mounted on the instance, but in other cases you will want to persist to a remote store. The config value ``'persist_path'``, which can also be set by the environment variable ``INTAKE_PERSIST_PATH`` can be a remote location such as ``s3://mybucket/intake-persist``. You will need to install the appropriate package to talk to the external storage (e.g., ``s3fs``, ``gcsfs``, ``pyarrow``), but otherwise everything should work as before, and you can access the persisted data from any container. The Persist Store ----------------- You can interact directly with the class implementing persistence:: from intake.container.persist import store This singleton instance, which acts like a catalog, allows you to query the contents of the instance store and to add and remove entries. It also allows you to find the original source for any given persisted source, and refresh the persisted version on demand. For details on the methods of the persist store, see the API documentation: :func:`intake.container.persist.PersistStore`. Sources in the store carry a lot of information about the sources they were made from, so that they can be remade successfully. This all appears in the source metadata. The sources use the "token" of the original data source as their key in the store, a value which can be found by ``dask.base.tokenize(source)`` for the original source, or can be taken from the metadata of a persisted source. Note that all of the information about persisted sources is held in a single YAML file in the persist directory (typically ``/persisted/cat.yaml`` within the config directory, but see ``intake.config.conf['persist_path']``). This file can be edited by hand if you wanted to, for example, set some persisted source not to expire. This is only recommended for experts. Future Enhancements ------------------- - CLI functionality to investigate and alter the state of the persist store. - Time check-pointing of persisted data, such that you can not only get the "most recent" but any version in the time-series. - (eventually) pipeline functionality, whereby a persisted data source depends on another persisted data source, and the whole train can be refreshed on a schedule or on demand. intake-0.6.5/docs/source/plotting.rst000066400000000000000000000171301416666122400176310ustar00rootroot00000000000000Plotting ======== Intake provides a plotting API based on the `hvPlot `_ library, which closely mirrors the pandas plotting API but generates interactive plots using `HoloViews `_ and `Bokeh `_. The `hvPlot website `_ provides comprehensive documentation on using the plotting API to quickly visualize and explore small and large datasets. The main features offered by the plotting API include: * Support for tabular data stored in pandas and dask dataframes * Support for gridded data stored in xarray backed nD-arrays * Support for plotting large datasets with `datashader `_ Using Intake alongside hvPlot allows declaratively persisting plot declarations and default options in the regular catalog.yaml files. Setup ''''' For detailed installation instructions see the `getting started section `_ in the hvPlot documentation. To start with install hvplot using conda: .. code-block:: bash conda install -c conda-forge hvplot or using pip: .. code-block:: bash pip install hvplot Usage ''''' The plotting API is designed to work well in and outside the Jupyter notebook, however when using it in JupyterLab the PyViz lab extension must be installed first: .. code-block:: bash jupyter labextension install @pyviz/jupyterlab_pyviz For detailed instructions on displaying plots in the notebook and from the Python command prompt see the `hvPlot user guide `_. Python Command Prompt & Scripts -------------------------------- Assuming the US Crime dataset has been installed (in the `intake-examples repo `_, or from conda with `conda install -c intake us_crime`): Once installed the plot API can be used, by using the ``.plot`` method on an intake ``DataSource``: .. code-block:: python import intake import hvplot as hp crime = intake.cat.us_crime columns = ['Burglary rate', 'Larceny-theft rate', 'Robbery rate', 'Violent Crime rate'] violin = crime.plot.violin(y=columns, group_label='Type of crime', value_label='Rate per 100k', invert=True) hp.show(violin) .. image:: _static/images/plotting_violin.png Notebook -------- Inside the notebook plots will display themselves, however the notebook extension must be loaded first. The extension may be loaded by importing ``hvplot.intake`` module or explicitly loading the holoviews extension, or by calling ``intake.output_notebook()``: .. code-block:: python # To load the extension run this import import hvplot.intake # Or load the holoviews extension directly import holoviews as hv hv.extension('bokeh') # convenience function import intake intake.output_notebook() crime = intake.cat.us_crime columns = ['Violent Crime rate', 'Robbery rate', 'Burglary rate'] crime.plot(x='Year', y=columns, value_label='Rate (per 100k people)') .. raw:: html :file: _static/images/plotting_example.html Predefined Plots ---------------- Some catalogs will define plots appropriate to a specific data source. These will be specified such that the user gets the right view with the right columns and labels, without having to investigate the data in detail -- this is ideal for quick-look plotting when browsing sources. .. code-block:: python import intake intake.us_crime.plots Returns `['example']`. This works whether accessing the entry object or the source instance. To visualise .. code-block:: python intake.us_crime.plot.example() Persisting metadata ''''''''''''''''''' Intake allows catalog yaml files to declare metadata fields for each data source which are made available alongside the actual dataset. The plotting API reserves certain fields to define default plot options, to label and annotate the data fields in a dataset and to declare pre-defined plots. Declaring defaults ------------------ The first set of metadata used by the plotting API is the `plot` field in the metadata section. Any options found in the metadata field will apply to all plots generated from that data source, allowing the definition of plotting defaults. For example when plotting a fairly large dataset such as the NYC Taxi data, it might be desirable to enable datashader by default ensuring that any plot that supports it is datashaded. The syntax to declare default plot options is as follows: .. code-block:: yaml sources: nyc_taxi: description: NYC Taxi dataset driver: parquet args: urlpath: 's3://datashader-data/nyc_taxi_wide.parq' metadata: plot: datashade: true Declaring data fields --------------------- The columns of a CSV or parquet file or the coordinates and data variables in a NetCDF file often have shortened, or cryptic names with underscores. They also do not provide additional information about the units of the data or the range of values, therefore the catalog yaml specification also provides the ability to define additional information about the `fields` in a dataset. Valid attributes that may be defined for the data `fields` include: - `label`: A readable label for the field which will be used to label axes and widgets - `unit`: A unit associated with the values inside a data field - `range`: A range associated with a field declaring limits which will override those computed from the data Just like the default plot options the `fields` may be declared under the metadata section of a data source: .. code-block:: yaml sources: nyc_taxi: description: NYC Taxi dataset driver: parquet args: urlpath: 's3://datashader-data/nyc_taxi_wide.parq' metadata: fields: dropoff_x: label: Longitude dropoff_y: label: Latitude total_fare: label: Fare unit: $ Declaring custom plots ---------------------- As shown in the `hvPlot user guide `__, the plotting API provides a variety of plot types, which can be declared using the `kind` argument or via convenience methods on the plotting API, e.g. `cat.source.plot.scatter()`. In addition to declaring default plot options and field metadata data sources may also declare custom plot, which will be made available as methods on the plotting API. In this way a catalogue may declare any number of custom plots alongside a datasource. To make this more concrete consider the following custom plot declaration on the `plots` field in the metadata section: .. code-block:: yaml sources: nyc_taxi: description: NYC Taxi dataset driver: parquet args: urlpath: 's3://datashader-data/nyc_taxi_wide.parq' metadata: plots: dropoff_scatter: kind: scatter x: dropoff_x y: dropoff_y datashade: True width: 800 height: 600 This declarative specification creates a new custom plot called `dropoff_scatter`, which will be available on the catalog under `cat.nyc_taxi.plot.dropoff_scatter()`. Calling this method on the plot API will automatically generate a datashaded scatter plot of the dropoff locations in the NYC taxi dataset. Of course the three metadata fields may also be used together, declaring global defaults under the `plot` field, annotations for the data `fields` under the `fields` key and custom plots via the `plots` field. intake-0.6.5/docs/source/plugin-directory.rst000066400000000000000000000134251416666122400212740ustar00rootroot00000000000000.. _plugin-directory: Plugin Directory ================ This is a list of known projects which install driver plugins for Intake, and the named drivers each contains in parentheses: * builtin to Intake (``catalog``, ``csv``, ``intake_remote``, ``ndzarr``, ``numpy``, ``textfiles``, ``yaml_file_cat``, ``yaml_files_cat``, ``zarr_cat``, ``json``, ``jsonl``) * `intake-astro `_ Table and array loading of FITS astronomical data (``fits_array``, ``fits_table``) * `intake-accumulo `_ Apache Accumulo clustered data storage (``accumulo``) * `intake-avro `_: Apache Avro data serialization format (``avro_table``, ``avro_sequence``) * `intake-bluesky `_: search and retrieve data in the `bluesky `_ data model * `intake-dcat `_ Browse and load data from `DCAT `_ catalogs. (``dcat``) * `intake-dynamodb `_ link to Amazon DynamoDB (``dynamodb``) * `intake-elasticsearch `_: Elasticsearch search and analytics engine (``elasticsearch_seq``, ``elasticsearch_table``) * `intake-esm `_: Plugin for building and loading intake catalogs for earth system data sets holdings, such as `CMIP `_ (Coupled Model Intercomparison Project) and CESM Large Ensemble datasets. * `intake-geopandas `_: load from ESRI Shape Files, GeoJSON, and geospatial databases with geopandas (``geojson``, ``postgis``, ``shapefile``, ``spatialite``) and ``regionmask`` for opening shapefiles into `regionmask `_. * `intake-google-analytics `_: run Google Analytics queries and load data as a DataFrame (``google_analytics_query``) * `intake-hbase `_: Apache HBase database (``hbase``) * `intake-iris `_ load netCDF and GRIB files with IRIS (``grib``, ``netcdf``) * `intake-metabase `_: Generate catalogs and load tables as DataFrames from Metabase (``metabase_catalog``, ``metabase_table``) * `intake-mongo `_: MongoDB noSQL query (``mongo``) * `intake-nested-yaml-catalog `__: Plugin supporting a single YAML hierarchical catalog to organize datasets and avoid a data swamp. (``nested_yaml_cat``) * `intake-netflow `_: Netflow packet format (``netflow``) * `intake-notebook `_: Experimental plugin to access parameterised notebooks through intake and executed via papermill (``ipynb``) * `intake-odbc `_: ODBC database (``odbc``) * `intake-parquet `_: Apache Parquet file format (``parquet``) * `intake-pattern-catalog `_: Plugin for specifying a file-path pattern which can represent a number of different entries (``pattern_cat``) * `intake-pcap `_: PCAP network packet format (``pcap``) * `intake-postgres `_: PostgreSQL database (``postgres``) * `intake-s3-manifests `_ (``s3_manifest``) * `intake-salesforce `_: Generate catalogs and load tables as DataFrames from Salesforce (``salesforce_catalog``, ``salesforce_table``) * `intake-sklearn `_: Load scikit-learn models from Pickle files (``sklearn``) * `intake-solr `_: Apache Solr search platform (``solr``) * `intake-stac `_: Intake Driver for `SpatioTemporal Asset Catalogs (STAC) `_. * `intake-stripe `_: Generate catalogs and load tables as DataFrames from Stripe (``stripe_catalog``, ``stripe_table``) * `intake-spark `_: data processed by Apache Spark (``spark_cat``, ``spark_rdd``, ``spark_dataframe``) * `intake-sql `_: Generic SQL queries via SQLAlchemy (``sql_cat``, ``sql``, ``sql_auto``, ``sql_manual``) * `intake-splunk `_: Splunk machine data query (``splunk``) * `intake-streamz `_: real-time event processing using Streamz (``streamz``) * `intake-thredds `_: Intake interface to THREDDS data catalogs (``thredds_cat``, ``thredds_merged_source``) * `intake-xarray `_: load netCDF, Zarr and other multi-dimensional data (``xarray_image``, ``netcdf``, ``grib``, ``opendap``, ``rasterio``, ``remote-xarray``, ``zarr``) The status of these projects is available at `Status Dashboard `_. Don't see your favorite format? See :doc:`making-plugins` for how to create new plugins. Note that if you want your plugin listed here, open an issue in the `Intake issue repository `_ and add an entry to the `status dashboard repository `_. We also have a `plugin wishlist Github issue `_ that shows the breadth of plugins we hope to see for Intake. intake-0.6.5/docs/source/quickstart.rst000066400000000000000000000241511416666122400201640ustar00rootroot00000000000000Quickstart ========== This guide will show you how to get started using Intake to read data, and give you a flavour of how Intake feels to the :term:`Data User`. It assumes you are working in either a conda or a virtualenv/pip environment. For notebooks with executable code, see the :doc:`examples`. This walk-through can be run from a notebook or interactive python session. Installation ------------ If you are using `Anaconda`_ or Miniconda, install Intake with the following commands:: conda install -c conda-forge intake If you are using virtualenv/pip, run the following command:: pip install intake Note that this will install with the minimum of optional requirements. If you want a more complete install, use `intake[complete]` instead. .. _Anaconda: https://www.anaconda.com/download/ Creating Sample Data -------------------- Let's begin by creating a sample data set and catalog. At the command line, run the ``intake example`` command. This will create an example data :term:`Catalog` and two CSV data files. These files contains some basic facts about the 50 US states, and the catalog includes a specification of how to load them. Loading a Data Source --------------------- :term:`Data sources` can be created directly with the ``open_*()`` functions in the ``intake`` module. To read our example data:: >>> import intake >>> ds = intake.open_csv('states_*.csv') >>> print(ds) Each open function has different arguments, specific for the data format or service being used. Reading Data ------------ Intake reads data into memory using :term:`containers` you are already familiar with: * Tables: Pandas DataFrames * Multidimensional arrays: NumPy arrays * Semistructured data: Python lists of objects (usually dictionaries) To find out what kind of container a data source will produce, inspect the ``container`` attribute:: >>> ds.container 'dataframe' The result will be ``dataframe``, ``ndarray``, or ``python``. (New container types will be added in the future.) For data that fits in memory, you can ask Intake to load it directly:: >>> df = ds.read() >>> df.head() state slug code nickname ... 0 Alabama alabama AL Yellowhammer State 1 Alaska alaska AK The Last Frontier 2 Arizona arizona AZ The Grand Canyon State 3 Arkansas arkansas AR The Natural State 4 California california CA Golden State Many data sources will also have quick-look plotting available. The attribute ``.plot`` will list a number of built-in plotting methods, such as ``.scatter()``, see :doc:`plotting`. Intake data sources can have *partitions*. A partition refers to a contiguous chunk of data that can be loaded independent of any other partition. The partitioning scheme is entirely up to the plugin author. In the case of the CSV plugin, each ``.csv`` file is a partition. To read data from a data source one chunk at a time, the ``read_chunked()`` method returns an iterator:: >>> for chunk in ds.read_chunked(): print('Chunk: %d' % len(chunk)) ... Chunk: 24 Chunk: 26 Working with Dask ----------------- Working with large datasets is much easier with a parallel, out-of-core computing library like `Dask `_. Intake can create Dask containers (like ``dask.dataframe``) from data sources that will load their data only when required:: >>> ddf = ds.to_dask() >>> ddf Dask DataFrame Structure: admission_date admission_number capital_city capital_url code constitution_url facebook_url landscape_background_url map_image_url nickname population population_rank skyline_background_url slug state state_flag_url state_seal_url twitter_url website npartitions=2 object int64 object object object object object object object object int64 int64 object object object object object object object ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... Dask Name: from-delayed, 4 tasks The Dask containers will be partitioned in the same way as the Intake data source, allowing different chunks to be processed in parallel. Please read the Dask documentation to understand the differences when working with Dask collections (Bag, Array or Data-frames). Opening a Catalog ----------------- A :term:`Catalog` is a collection of data sources, with the type and arguments prescribed for each, and arbitrary metadata about each source. In the simplest case, a catalog can be described by a file in YAML format, a ":term:`Catalog file`". In real usage, catalogues can be defined in a number of ways, such as remote files, by connecting to a third-party data service (e.g., SQL server) or through an Intake :term:`Server` protocol, which can implement any number of ways to search and deliver data sources. The ``intake example`` command, above, created a catalog file with the following :term:`YAML`-syntax content: .. code-block:: yaml sources: states description: US state information from [CivilServices](https://civil.services/) driver: csv args: urlpath: '{{ CATALOG_DIR }}/states_*.csv' metadata: origin_url: 'https://github.com/CivilServiceUSA/us-states/blob/v1.0.0/data/states.csv' To load a :term:`Catalog` from a :term:`Catalog file`:: >>> cat = intake.open_catalog('us_states.yml') >>> list(cat) ['states'] This catalog contains one data source, called ``states``. It can be accessed by attribute:: >>> cat.states.to_dask()[['state','slug']].head() state slug 0 Alabama alabama 1 Alaska alaska 2 Arizona arizona 3 Arkansas arkansas 4 California california Placing data source specifications into a catalog like this enables declaring data sets in a single canonical place, and not having to use boilerplate code in each notebook/script that makes use of the data. The catalogs can also reference one-another, be stored remotely, and include extra metadata such as a set of named quick-look plots that are appropriate for the particular data source. Note that catalogs are **not** restricted to being stored in YAML files, that just happens to be the simplest way to display them. Many catalog entries will also contain "user_parameter" blocks, which are indications of options explicitly allowed by the catalog author, or for validation or the values passed. The user can customise how a data source is accessed by providing values for the user_parameters, overriding the arguments specified in the entry, or passing extra keyword arguments to be passed to the driver. The keywords that should be passed are limited to the user_parameters defined and the inputs expected by the specific driver - such usage is expected only from those already familiar with the specifics of the given format. In the following example, the user overrides the "csv_kwargs" keyword, which is described in the documentation for :func:`CSVSource ` and gets passed down to the CSV reader:: # pass extra kwargs understood by the csv driver >>> intake.cat.states(csv_kwargs={'header': None, 'skiprows': 1}).read().head() 0 1 ... 17 0 Alabama alabama ... https://twitter.com/alabamagov 1 Alaska alaska ... https://twitter.com/alaska Note that, if you are *creating* such catalogs, you may well start by trying the ``open_csv`` command, above, and then use ``print(ds.yaml())``. If you do this now, you will see that the output is very similar to the catalog file we have provided. Installing Data Source Packages ------------------------------- Intake makes it possible to create :term:`Data packages` (``pip`` or ``conda``) that install data sources into a global catalog. For example, we can install a data package containing the same data we have been working with:: conda install -c intake data-us-states :term:`Conda` installs the catalog file in this package to ``$CONDA_PREFIX/share/intake/us_states.yml``. Now, when we import ``intake``, we will see the data from this package appear as part of a global catalog called ``intake.cat``. In this particular case we use Dask to do the reading (which can handle larger-than-memory data and parallel processing), but ``read()`` would work also:: >>> import intake >>> intake.cat.states.to_dask()[['state','slug']].head() state slug 0 Alabama alabama 1 Alaska alaska 2 Arizona arizona 3 Arkansas arkansas 4 California california The global catalog is a union of all catalogs installed in the conda/virtualenv environment and also any catalogs installed in user-specific locations. Adding Data Source Packages using the Intake path ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Intake checks the Intake config file for ``catalog_path`` or the environment variable ``"INTAKE_PATH"`` for a colon separated list of paths (semicolon on windows) to search for catalog files. When you import ``intake`` we will see all entries from all of the catalogues referenced as part of a global catalog called ``intake.cat``. Using the GUI ------------- A graphical data browser is available in the Jupyter notebook environment or standalone web-server. It will show the contents of any installed catalogs, plus allows for selecting local and remote catalogs, to browse and select entries from these. See :doc:`gui`. intake-0.6.5/docs/source/reference.rst000066400000000000000000000002031416666122400177200ustar00rootroot00000000000000Reference --------- .. toctree:: :maxdepth: 1 api.rst making-plugins.rst auth-plugins.rst data-packages.rst intake-0.6.5/docs/source/roadmap.rst000066400000000000000000000101341416666122400174110ustar00rootroot00000000000000.. _roadmap: Roadmap ======= Some high-level work that we expect to be achieved on the time-scale of months. This list is not exhaustive, but rather aims to whet the appetite for what Intake can be in the future. Since Intake aims to be a community of data-oriented pythoneers, nothing written here is laid in stone, and users and devs are encouraged to make their opinions known! Broaden the coverage of formats ------------------------------- Data-type drivers are easy to write, but still require some effort, and therefore reasonable impetus to get the work done. Conversations over the coming months can help determine the drivers that should be created by the Intake team, and those that might be contributed by the community. The next type that we would specifically like to consider is machine learning model artifacts. **EDIT** see https://github.com/AlbertDeFusco/intake-sklearn , and hopefully more to come. Streaming Source ---------------- Many data sources are inherently time-sensitive and event-wise. These are not covered well by existing Python tools, but the ``streamz`` library may present a nice way to model them. From the Intake point of view, the task would be to develop a streaming type, and at least one data driver that uses it. The most obvious place to start would be read a file: every time a new line appears in the file, an event is emitted. This is appropriate, for instance, for watching the log files of a web-server, and indeed could be extended to read from an arbitrary socket. **EDIT** see: https://github.com/intake/intake-streamz Server publish hooks -------------------- To add API endpoints to the server, so that a user (with sufficient privilege) can post data specifications to a running server, optionally saving the specs to a catalog server-side. Furthermore, we will consider the possibility of being able to upload and/or transform data (rather than refer to it in a third-party location), so that you would have a one-line "publish" ability from the client. The server, in general, could do with a lot of work to become more than the current demonstration/prototype. In particular, it should be able to be performant and scalable, meaning that the server implementation ought to keep as little local state as possible. Simplify dependencies and class hierarchy ----------------------------------------- We would like the make it easier to write Intake drivers which don't need any persist or GUI functionality, and to be able to install Intake core functionality (driver registry, data loading and catalog traversal) without needing many other packages at all. **EDIT** this has been partly done, you can derive from ``DataSourceBase`` and not have to use the full set of Intake's features for simplicity. We have also gone some distance to separate out dependencies for parts of the package, so that you can install Intake and only use some of the subpackages/modules - imports don't happen until those parts of the code are used. We have *not* yet split the intake conda package into, for example, intake-base, intake-server, intake-gui... Reader API ---------- For those that wish to provide Intake's data source API, and make data sources available to Intake cataloguing, but don't wish to take Intake as a direct dependency. The actual API of ``DataSources`` is rather simple: - ``__init__``: collect arguments, minimal IO at this point - ``discover()``: get metadata from the source, by querying the files/service itself - ``read()``: return in-memory version of the data - ``to_*``: return reference objects for the given compute engine, typically Dask - ``read_partition(...)``: read part of the data into memory, where the argument makes sense for the given type of data - ``configure_new()``: create new instance with different arguments - ``yaml()``: representation appropriate for inclusion in a YAML catalogue - ``close()``: release any resources Of these, only the first three are really necessary for a iminal interface, so Intake might do well to publish this *protocol specification*, so that new drivers can be written that can be used by Intake but do not need Intake, and so help adoption. intake-0.6.5/docs/source/server.rst000066400000000000000000000173621416666122400173060ustar00rootroot00000000000000.. _server: Server Protocol =============== This page gives deeper details on how the Intake :term:`server` is implemented. For those simply wishing to run and configure a server, see the :doc:`tools` section. Communication between the intake client and server happens exclusively over HTTP, with all parameters passed using msgpack UTF8 encoding. The server side is implemented by the module ``intake.cli.server``. Currently, only the following two routes are available: - ``http://server:port/v1/info`` - ``http://server:port/v1/source``. The server may be configured to use auth services, which, when passed the header of the incoming call, can determine whether the given request is allowed. See :doc:`auth-plugins`. GET /info --------- Retrieve information about the data-sets available on this server. The list of data-sets may be paginated, in order to avoid excessively long transactions. Notice that the catalog for which a listing is being requested can itself be a data-source (when ``source-id`` is passed) - this is how nested sub-catalogs are handled on the server. Parameters ~~~~~~~~~~ - ``page_size``, int or none (optional): to enable pagination, set this value. The number of entries returned will be this value at most. If None, returns all entries. This is passed as a query parameter. - ``page_offset``, int (optional): when paginating, start the list from this numerical offset. The order of entries is guaranteed if the base catalog has not changed. This is passed as a query parameter. - ``source-id``, uuid string (optional): when the catalog being accessed is not the route catalog, but an open data-source on the server, this is its unique identifier. See ``POST /source`` for how these IDs are generated. If the catalog being accessed is the root Catalog, this parameter should be omitted. This is passed as an HTTP header. Returns ~~~~~~~ - ``version``, string: the server's Intake version - ``sources``, list of objects: the main payload, where each object contains a ``name``, and the result of calling ``.describe()`` on the corresponding data-source, i.e., the container type, description, metadata. - ``metadata``, object: any metadata associated with the whole catalog GET /source ----------- Fetch information about a specific source. This is the random-access variant of the ``GET /info`` route, by which a particular data-source can be accessed without paginating through all of the sources. Parameters ~~~~~~~~~~ - ``name``, string (required): the data source name being accessed, one of the members of the catalog. This is passed as a query parameter. - ``source-id``, uuid string (optional): when the catalog being accessed is not the root catalog, but an open data-source on the server, this is its unique identifier. See ``POST /source`` for how these IDs are generated. If the catalog being accessed is the root Catalog, this parameter should be omitted. This is passed as an HTTP header. Returns ~~~~~~~ Same as one of the entries in ``sources`` for ``GET /info``: the result of ``.describe()`` on the given data-source in the server POST /source, action="search" ----------------------------- Searching a Catalog returns search results in the form of a new Catalog. This "results" Catalog is cached on the server the same as any other Catalog. Parameters ~~~~~~~~~~ - ``source-id``, uuid string (optional): When the catalog being searched is not the root catalog, but a subcatalog on the server, this is its unique identifier. If the catalog being searched is the root Catalog, this parameter should be omitted. This is passed as an HTTP header. - ``query``: tuple of ``(args, kwargs)``: These will be unpacked into ``Catalog.search`` on the server to create the "results" Catalog. This is passed in the body of the message. Returns ~~~~~~~ - ``source_id``, uuid string: the identifier of the results Catalog in the server's source cache POST /source, action="open" --------------------------- This is a more involved processing of a data-source, and, if successful, returns one of two possible scenarios: - direct-access, in which all the details required for reading the data directly from the client are passed, and the client then creates a local copy of the data source and needs no further involvement from the server in order to fetch the data - remote-access, in which the client is unable or unwilling to create a local version of the data-source, and instead created a remote data-source which will fetch the data for each partition from the server. The set of parameters supplied and the server/client policies will define which method of access is employed. In the case of remote-access, the data source is instantiated on the server, and ``.discover()`` run on it. The resulting information is passed back, and must be enough to instantiate a subclass of ``intake.container.base.RemoteSource`` appropriate for the container of the data-set in question (e.g., ``RemoteArray`` when ``container="ndarray"``). In this case, the response also includes a UUID string for the open instance on the server, referencing the cache of open sources maintained by the server. Note that "opening" a data entry which is itself is a catalog implies instantiating that catalog object on the server and returning its UUID, such that a listing can be made using ``GET/ info`` or ``GET /source``. Parameters ~~~~~~~~~~ - ``name``, string (required): the data source name being accessed, one of the members of the catalog. This is passed in the body of the request. - ``source-id``, uuid string (optional): when the catalog being accessed is not the root catalog, but an open data-source on the server, this is its unique identifier. If the catalog being accessed is the root Catalog, this parameter should be omitted. This is passed as an HTTP header. - ``available_plugins``, list of string (optional): the set of named data drivers supported by the client. If the driver required by the data-source is not supported by the client, then the source must be opened remote-access. This is passed in the body of the request. - ``parameters``, object (optional): user parameters to pass to the data-source when instantiating. Whether or not direct-access is possible may, in principle, depend on these parameters, but this is unlikely. Note that some parameter default value functions are designed to be evaluated on the server, which may have access to, for example, some credentials service (see :ref:`paramdefs`). This is passed in the body of the request. Returns ~~~~~~~ If direct-access, the driver plugin name and set of arguments for instantiating the data-soruce in the client. If remote-access, the data-source container, schema and source-ID so that further reads can be made from the server. POST /source, action="read" --------------------------- This route fetches data from the server once a data-source has been opened in remote-access mode. Parameters ~~~~~~~~~~ - ``source-id``, uuid string (required): the identifier of the data-source in the server's source cache. This is returned when ``action="open"``. This is passed in the body of the request. - ``partition``, int or tuple (optional, but necessary for some sources): section/chunk of the data to fetch. In cases where the data-source is partitioned, the client will fetch the data one partition at a time, so that it will appear partitioned in the same manner on the client side for iteration of passing to Dask. Some data-sources do not support partitioning, and then this parameter is not required/ignored. This is passed in the body of the request. - ``accepted_formats``, ``accepted_compression``, list of strings (required): to specify how serialization of data happens. This is an expert feature, see docs in the module ``intake.container.serializer``. This is passed in the body of the request. intake-0.6.5/docs/source/start.rst000066400000000000000000000004641416666122400171300ustar00rootroot00000000000000.. _start: Start here ---------- These documents will familiarise you with Intake, show you some basic usage and examples, and describe Intake's place in the wider python data world. .. toctree:: :maxdepth: 1 quickstart.rst use_cases.rst overview.rst examples.rst deployments.rst intake-0.6.5/docs/source/tools.rst000066400000000000000000000170401416666122400171310ustar00rootroot00000000000000Command Line Tools ================== The package installs two executable commands: for starting the catalog server; and a client for accessing catalogs and manipulating the configuration. .. _configuration: Configuration ------------- A file-based configuration service is available to Intake. This file is by default sought at the location ``~/.intake/conf.yaml``, but either of the environment variables ``INTAKE_CONF_DIR`` or ``INTAKE_CONF_FILE`` can be used to specify another directory or file. If both are given, the latter takes priority. At present, the configuration file might look as follows: .. code-block:: yaml auth: cls: "intake.auth.base.BaseAuth" port: 5000 catalog_path: - /home/myusername/special_dir These are the defaults, and any parameters not specified will take the values above * the Intake Server will listen on port 5000 (this can be overridden on the command line, see below) * and the auth system used will be the fully qualified class given (which, for BaseAuth, always allows access). For further information on securing the Intake Server, see the :ref:`authplugins`. See ``intake.config.defaults`` for a full list of keys and their default values. Log Level --------- The logging level is configurable using Python's built-in logging module. The config option ``'logging'`` holds the current level for the intake logger, and can take values such as ``'INFO'`` or ``'DEBUG'``. This can be set in the ``conf.yaml`` file of the config directory (e.g., ``~/.intake/``), or overriden by the environment variable ``INTAKE_LOG_LEVEL``. Furthermore, the level and settings of the logger can be changed programmatically in code:: import logging logger = logging.getLogger('intake') logger.setLevel(logging.DEBUG) logget.addHandler(..) Intake Server ------------- The server takes one or more catalog files as input and makes them available on port 5000 by default. You can see the full description of the server command with: :: >>> intake-server --help usage: intake-server [-h] [-p PORT] [--list-entries] [--sys-exit-on-sigterm] [--flatten] [--no-flatten] [-a ADDRESS] FILE [FILE ...] Intake Catalog Server positional arguments: FILE Name of catalog YAML file optional arguments: -h, --help show this help message and exit -p PORT, --port PORT port number for server to listen on --list-entries list catalog entries at startup --sys-exit-on-sigterm internal flag used during unit testing to ensure .coverage file is written --flatten --no-flatten -a ADDRESS, --address ADDRESS address to use as a host, defaults to the address in the configuration file, if provided otherwise localhost usage: intake-server [-h] [-p PORT] [--list-entries] [--sys-exit-on-sigterm] [--flatten] [--no-flatten] [-a ADDRESS] FILE [FILE ...] To start the server with a local catalog file, use the following: :: >>> intake-server intake/catalog/tests/catalog1.yml Creating catalog from: - intake/catalog/tests/catalog1.yml catalog_args ['intake/catalog/tests/catalog1.yml'] Entries: entry1,entry1_part,use_example1 Listening on port 5000 You can use the catalog client (defined below) using: :: $ intake list intake://localhost:5000 entry1 entry1_part use_example1 Intake Client ------------- While the Intake data sources will typically be accessed through the Python API, you can use the client to verify a catalog file. Unlike the server command, the client has several subcommands to access a catalog. You can see the list of available subcommands with: :: >>> intake --help usage: intake {list,describe,exists,get,discover} ... We go into further detail in the following sections. List '''' This subcommand lists the names of all available catalog entries. This is useful since other subcommands require these names. If you wish to see the details about each catalog entry, use the ``--full`` flag. This is equivalent to running the ``intake describe`` subcommand for all catalog entries. :: >>> intake list --help usage: intake list [-h] [--full] URI positional arguments: URI Catalog URI optional arguments: -h, --help show this help message and exit --full :: >>> intake list intake/catalog/tests/catalog1.yml entry1 entry1_part use_example1 >>> intake list --full intake/catalog/tests/catalog1.yml [entry1] container=dataframe [entry1] description=entry1 full [entry1] direct_access=forbid [entry1] user_parameters=[] [entry1_part] container=dataframe [entry1_part] description=entry1 part [entry1_part] direct_access=allow [entry1_part] user_parameters=[{'default': '1', 'allowed': ['1', '2'], 'type': u'str', 'name': u'part', 'description': u'part of filename'}] [use_example1] container=dataframe [use_example1] description=example1 source plugin [use_example1] direct_access=forbid [use_example1] user_parameters=[] Describe '''''''' Given the name of a catalog entry, this subcommand lists the details of the respective catalog entry. :: >>> intake describe --help usage: intake describe [-h] URI NAME positional arguments: URI Catalog URI NAME Catalog name optional arguments: -h, --help show this help message and exit :: >>> intake describe intake/catalog/tests/catalog1.yml entry1 [entry1] container=dataframe [entry1] description=entry1 full [entry1] direct_access=forbid [entry1] user_parameters=[] Discover '''''''' Given the name of a catalog entry, this subcommand returns a key-value description of the data source. The exact details are subject to change. :: >>> intake discover --help usage: intake discover [-h] URI NAME positional arguments: URI Catalog URI NAME Catalog name optional arguments: -h, --help show this help message and exit :: >>> intake discover intake/catalog/tests/catalog1.yml entry1 {'npartitions': 2, 'dtype': dtype([('name', 'O'), ('score', '>> intake exists --help usage: intake exists [-h] URI NAME positional arguments: URI Catalog URI NAME Catalog name optional arguments: -h, --help show this help message and exit :: >>> intake exists intake/catalog/tests/catalog1.yml entry1 True >>> intake exists intake/catalog/tests/catalog1.yml entry2 False Get ''' Given the name of a catalog entry, this subcommand outputs the entire data source to standard output. :: >>> intake get --help usage: intake get [-h] URI NAME positional arguments: URI Catalog URI NAME Catalog name optional arguments: -h, --help show this help message and exit :: >>> intake get intake/catalog/tests/catalog1.yml entry1 name score rank 0 Alice1 100.5 1 1 Bob1 50.3 2 2 Charlie1 25.0 3 3 Eve1 25.0 3 4 Alice2 100.5 1 5 Bob2 50.3 2 6 Charlie2 25.0 3 7 Eve2 25.0 3 Config and Cache '''''''''''''''' CLI functions starting with ``intake cache`` and ``intake config`` are available to provide information about the system: the locations and value of configuration parameters, and the state of cached files. intake-0.6.5/docs/source/transforms.rst000066400000000000000000000153651416666122400201770ustar00rootroot00000000000000Dataset Transforms ------------------ aka. derived datasets. .. warning:: experimental feature, the API may change. The data sources in ``intake.source.derived`` are not yet declared as top-level named drivers in the package entrypoints. Intake allows for the definition of data sources which take as their input another source in the same directory, so that you have the opportunity to present *processing* to the user of the catalog. The "target" or a derived data source will normally be a string. In the simple case, it is the name of a data source in the same catalog. However, we use the syntax "catalog:source" to refer to sources in other catalogs, where the part before ":" will be passed to :func:`intake.open_catalog`, together with any keyword arguments from ``cat_kwargs``. This can be done by defining classes which inherit from ``intake.source.derived.DerivedSource``, or using one of the pre-defined classes in the same module, which usually need to be passed a reference to a function in a python module. We will demonstrate both. Example ``````` Consider the following *target* dataset, which loads some simple facts about US states from a CSV file. This example is taken from the Intake test suite. .. code-block::yaml sources: input_data: description: a local data file driver: csv args: urlpath: '{{ CATALOG_DIR }}cache_data/states.csv' We now show two ways to apply a super-simple transform to this data, which selects two of the dataframe's columns. Class Example ~~~~~~~~~~~~~ The first version uses an approach in which the transform is derived in a data source class, and the parameters passed are specific to the transform type. Note that the driver is referred to by it's fully-qualified name in the Intake package. .. code-block::yaml derive_cols: driver: intake.source.derived.Columns args: targets: - input_data columns: ["state", "slug"] The source class for this is included in the Intake codebase, but the important part is: .. code-block:: python class Columns(DataFrameTransform): ... def pick_columns(self, df): return df[self._params["columns"]] We see that this specific class inherits from ``DataFrameTransform``, with ``transform=self.pick_columns``. We know that the inputs and outputs are both dataframes. This allows for some additional validation and an automated way to infer the output dataframe's schema that reduces the number of line of code required. The given method does exactly what you might imagine: it takes and input dataframe and applies a column selection to it. Running ``cat.derive_cols.read()`` will indeed, as expected, produce a version of the data with only the selected columns included. It does this by defining the original dataset, appying the selection, and then getting Dask to generate the output. For some datasets, this can mean that the selection is pushed down to the reader, and the data for the dropped columns is never loaded. The user may choose to do ``.to_dask()`` instead, and manipulate the lazy dataframe directly, before loading. Functional Example ~~~~~~~~~~~~~~~~~~ This second version of the same output uses the more generic and flexible ``intake.source.derived.DataFrameTransform``. .. code-block:: yaml derive_cols_func: driver: intake.source.derived.DataFrameTransform args: targets: - input_data transform: "intake.source.tests.test_derived._pick_columns" transform_kwargs: columns: ["state", "slug"] In this case, we pass a reference to a *function* defined in the Intake test suite. Normally this would be declared in user modules, where perhaps those declarations and catalog(s) are distributed together as a package. .. code-block:: python def _pick_columns(df, columns): return df[columns] This is, of course, very similar to the method shown in the previous section, and again applies the selection in the given named argument to the input. Note that Intake does not support including actual code in your catalog, since we would not want to allow arbitrary execution of code on catalog load, as opposed to execution. Loading this data source proceeds exactly the same way as the class-based approach, above. Both Dask and in-memory (Pandas, via ``.read()``) methods work as expected. The declaration in YAML, above, is slightly more verbose, but the amount of code is smaller. This demonstrates a tradeoff between flexibility and concision. If there were validation code to add for the arguments or input dataset, it would be less obvious where to put these things. Barebone Example ~~~~~~~~~~~~~~~~ The previous two examples both did dateframe to dataframe transforms. However, totally arbitrary computations are possible. Consider the following: .. code-block:: yaml barebones: driver: intake.source.derived.GenericTransform args: targets: - input_data transform: builtins.len transform_kwargs: {} This applies ``len`` to the input dataframe. ``cat.barebones.describe()`` gives the output container type as "other", i.e., not specified. The result of ``read()`` on this gives the single number 50, the number of rows in the input data. This class, and ``DerivedDataSource`` and included with the intent as superclasses, and probably will not be used directly often. Execution engine ```````````````` None of the above example specified explicitly where the compute implied by the transformation will take place. However, most Intake drivers support in-memory containers and Dask; remembering that the input dataset here is a dataframe. However, the behaviour is defined in the driver class itself - so it would be fine to write a driver in which we make different assumptions. Let's suppose, for instance, that the original source is to be loaded from ``spark`` (see the ``intake-spark`` package), the driver could explicitly call ``.to_spark`` on the original source, and be assured that it has a Spark object to work with. It should, of course, explain in its documentation what assumptions are being made and that, presumably, the user is expected to also call ``.to_spark`` if they wished to directly manipulate the spark object. API ``` .. autosummary:: intake.source.derived.DerivedSource intake.source.derived.Alias intake.source.derived.GenericTransform intake.source.derived.DataFrameTransform intake.source.derived.Columns .. autoclass:: intake.source.derived.DerivedSource :members: __init__ .. autoclass:: intake.source.derived.Alias :members: __init__ .. autoclass:: intake.source.derived.GenericTransform :members: __init__ .. autoclass:: intake.source.derived.DataFrameTransform :members: __init__ .. autoclass:: intake.source.derived.Columns :members: __init__ intake-0.6.5/docs/source/use_cases.rst000066400000000000000000000443131416666122400177460ustar00rootroot00000000000000.. _usecases: Use Cases - I want to... ======================== Here follows a list of specific things that people may want to get done, and details of how Intake can help. The details of how to achieve each of these activities can be found in the rest of the detailed documentation. Avoid copy&paste of blocks of code for accessing data ----------------------------------------------------- This is a very common pattern, if you want to load some specific data, to find someone, perhaps a colleague, who has accessed it before, and copy that code. Such a practice is extremely error prone, and cause a proliferation of copies of code, which may evolve over time, with various versions simultaneously in use. Intake separates the concerns of data-source specification from code. The specs are stored separately, and all users can reference the one and only authoritative definition, whether in a shared file, a service visible to everyone or by using the Intake server. This spec can be updated so that everyone gets the current version instead of relying on outdated code. Version control data sources ---------------------------- Version control (e.g., using ``git``) is an essential practice in modern software engineering and data science. It ensures that the change history is recorded, with times, descriptions and authors along with the changes themselves. When data is specified using a well-structured syntax such as YAML, it can be checked into a version controlled repository in the usual fashion. Thus, you can bring rigorous practices to your data as well as your code. If using conda packages to distribute data specifications, these come with a natural internal version numbering system, such that users need only do ``conda update ...`` to get the latest version. "Install" data -------------- Often, finding and grabbing data is a major hurdle to productivity. People may be required to download artifacts from various places or search through storage systems to find the specific thing that they are after. One-line commands which can retrieve data-source specifications or the files themselves can be a massive time-saver. Furthermore, each data-set will typically need its own code to be able to access it, and probably additional software dependencies. Intake allows you to build ``conda`` packages, which can include catalog files referencing online resources, or to include data files directly in that package. Whether uploaded to ``anaconda.org`` or hosted on a private enterprise channel, getting the data becomes a single ``conda install ...`` command, whereafter it will appear as an entry in ``intake.cat``. The conda package brings versioning and dependency declaration for free, and you can include any code that may be required for that specific data-set directly in the package too. Update data specifications in-place ----------------------------------- Individual data-sets often may be static, but commonly, the "best" data to get a job done changes with time as new facts emerge. Conversely, the very same data might be better stored in a different format which is, for instance, better-suited to parallel access in the cloud. In such situations, you really don't want to force all the data scientists who rely on it to have their code temporarily broken and be forced to change this code. By working with a catalog file/service in a fixed shared location, it is possible to update the data source specs in-place. When users now run their code, they will get the latest version. Because all Intake drivers have the same API, the code using the data will be identical and not need to be changed, even when the format has been updated to something more optimised. Access data stored on cloud resources ------------------------------------- Services such as AWS S3, GCS and Azure Datalake (or private enterprise variants of these) are increasingly popular locations to amass large amounts of data. Not only are they relatively cheap per GB, but they provide long-term resilience, metadata services, complex access control patterns and can have very large data throughput when accessed in parallel by machines on the same architecture. Intake comes with integration to cloud-based storage out-of-the box for most of the file-based data formats, to be able to access the data directly in-place and in parallel. For the few remaining cases where direct access is not feasible, the caching system in Intake allows for download of files on first use, so that all further access is much faster. Work with "Big Data" -------------------- The era of Big Data is here! The term means different things to different people, but certainly implies that an individual data-set is too large to fit into the memory of a typical workstation computer (>>10GB). Nevertheless, most data-loading examples available use functions in packages such as ``pandas`` and expect to be able to produce in-memory representations of the whole data. This is clearly a problem, and a more general answer should be available aside from "get more memory in your machine". Intake integrates with ``Dask`` and ``Spark``, which both offer out-of-core computation (loading the data in chunks which fit in memory and aggregating result) or can spread their work over a cluster of machines, effectively making use of the shared memory resources of the whole cluster. Dask integration is built into the majority of the the drivers and exposed with the ``.to_dask()`` method, and Spark integration is available for a small number of drivers with a similar ``.to_spark()`` method, as well as directly with the ``intake-spark`` package. Intake also integrates with many data services which themselves can perform big-data computations, only extracting the smaller aggregated data-sets that *do* fit into memory for further analysis. Services such as SQL systems, ``solr``, ``elastic-search``, ``splunk``, ``accumulo`` and ``hbase`` all can distribute the work required to fulfill a query across many nodes of a cluster. Find the right data-set ----------------------- Browsing for the data-set which will solve a particular problem can be hard, even when the data have been curated and stored in a single, well-structured system. You do *not* want to rely on word-of-mouth to specify which data is right for which job. Intake catalogs allow for self-description of data-sets, with simple text and arbitrary metadata, with a consistent access pattern. Not only can you list the data available to you, but you can find out what exactly that data represents, and the form the data would take if loaded (table versus list of items, for example). This extra metadata is also searchable: you can descend through a hierarchy of catalogs with a single search, and find all the entries containing some particular keywords. You can use the Intake GUI to graphically browse through your available data-sets or point to catalogs available to you, look through the entries listed there and get information about each, or even show a sample of the data or quick-look plots. The GUI is also able to execute searches and browse file-systems to find data artifacts of interest. This same functionality is also available via a command-line interface or programmatically. Work remotely ------------- Interacting with cloud storage resources is very convenient, but you will not want to download large amounts of data to your laptop or workstation for analysis. Intake finds itself at home in the remote-execution world of jupyter and Anaconda Enterprise and other in-browser technologies. For instance, you can run the Intake GUI either as a stand-alone application for browsing data-sets or in a notebook for full analytics, and have all the runtime live on a remote machine, or perhaps a cluster which is co-located with the data storage. Together with cloud-optimised data formats such as parquet, this is an ideal set-up for processing data at web scale. Transform data to efficient formats for sharing ----------------------------------------------- A massive amount of data exists in human-readable formats such as JSON, XML and CSV, which are not very efficient in terms of space usage and need to be parsed on load to turn into arrays or tables. Much faster processing times can be had with modern compact, optimised formats, such as parquet. Intake has a "persist" mechanism to transform any input data-source into the format most appropriate for that type of data, e.g., parquet for tabular data. The persisted data will be used in preference at analysis time, and the schedule for updating from the original source is configurable. The location of these persisted data-sets can be shared with others, so they can also gain the benefits, or the "export" variant can be used to produce an independent version in the same format, together with a spec to reference it by; you would then share this spec with others. Access data without leaking credentials --------------------------------------- Security is important. Users' identity and authority to view specific data should be established before handing over any sensitive bytes. It is, unfortunately, all too common for data scientists to include their username, passwords or other credentials directly in code, so that it can run automatically, thus presenting a potential security gap. Intake does not manage credentials or user identities directly, but does provide hooks for fetching details from the environment or other service, and using the values in templating at the time of reading the data. Thus, the details are not included in the code, but every access still requires for them to be present. In other cases, you may want to require the user to provide their credentials every time, rather that automatically establish them, and "user parameters" can be specified in Intake to cover this case. Establish a data gateway ------------------------ The Intake server protocol allows you fine-grained control over the set of data sources that are listed, and exactly what to return to a user when they want to read some of that data. This is an ideal opportunity to include authorisation checks, audit logging, and any more complicated access patterns, as required. By streaming the data through a single channel on the server, rather than allowing users direct access to the data storage backend, you can log and verify all access to your data. Clear distinction between data curator and analyst roles -------------------------------------------------------- It is desirable to separate out two tasks: the definition of data-source specifications, and accessing and using data. This is so that those who understand the origins of the data and the implications of various formats and other storage options (such as chunk-size) should make those decisions and encode what they have done into specs. It leaves the data users, e.g., data scientists, free to find and use the data-sets appropriate for their work and simply get on with their job - without having to learn about various storage formats and access APIs. This separation is at the very core of what Intake was designed to do. Users to be able to access data without learning every backend API ------------------------------------------------------------------ Data formats and services are a wide mess of many libraries and APIs. A large amount of time can be wasted in the life of a data scientist or engineer in finding out the details of the ones required by their work. Intake wraps these various libraries, REST APIs and similar, to provide a consistent experience for the data user. ``source.read()`` will simply get all of the data into memory in the container type for that source - no further parameters or knowledge required. Even for the curator of data catalogs or data driver authors, the framework established by Intake provides a lot of convenience and simplification which allows each person to deal with only the specifics of their job. Data sources to be self-describing ---------------------------------- Having a bunch of files in some directory is a very common pattern for data storage in the wild. There may or may not be a README file co-located giving some information in a human-readable form, but generally not structured - such files are usually different in every case. When a data source is encoded into a catalog, the spec offers a natural place to describe what that data is, along with the possibility to provide an arbitrary amount of structured metadata and to describe any parameters that are to be exposed for user choice. Furthermore, Intake data sources each have a particular container type, so that users know whether to expect a dataframe, array, etc., and simple introspection methods like ``describe`` and ``discover`` which return basic information about the data without having to load all of it into memory first. A data source hierarchy for natural structuring ----------------------------------------------- Usually, the set of data sources held by an organisation have relationships to one another, and would be poorly served to be provided as a simple flat list of everything available. Intake allows catalogs to refer to other catalogs. This means, that you can group data sources by various facets (type, department, time...) and establish hierarchical data-source trees within which to find the particular data most likely to be of interest. Since the catalogs live outside and separate from the data files themselves, as many hierarchy structures as thought useful could be created. For even more complicated data source meta-structures, it is possible to store all the details and even metadata in some external service (e.g., traditional SQL tables) with which Intake can interact to perform queries and return particular subsets of the available data sources. Expose several data collections under a single system ----------------------------------------------------- There are already several catalog-like data services in existence in the world, and some organisation may have several of these in-house for various different purposes. For example, an SQL server may hold details of customer lists and transactions, but historical time-series and reference data may be held separately in archival data formats like parquet on a file-storage system; while real-time system monitoring is done by a totally unrelated system such as Splunk or elastic search. Of course, Intake can read from various file formats and data services. However, it can also interpret the internal conception of data catalogs that some data services may have. For example, all of the tables known to the SQL server, or all of the pre-defined queries in Splunk can be automatically included as catalogs in Intake, and take their place amongst the regular YAML-specified data sources, with exactly the same usage for all of them. These data sources and their hierarchical structure can then be exposed via the graphical data browser, for searching, selecting and visualising data-sets. Modern visualisations for all data-sets --------------------------------------- Intake is integrated with the comprehensive ``holoviz`` suite, particularly ``hvplot``, to bring simple yet powerful data visualisations to any Intake data source by using just one single method for everything. These plots are interactive, and can include server-side dynamic aggregation of very large data-sets to display more data points than the browser can handle. You can specify specific plot types right in the data source definition, to have these customised visualisations available to the user as simple one-liners known to reveal the content of the data, or even view the same visuals right in the graphical data source browser application. Thus, Intake is already an all-in-one data investigation and dashboarding app. Update data specifications in real time --------------------------------------- Intake data catalogs are not limited to reading static specification from files. They can also execute queries on remote data services and return lists of data sources dynamically at runtime. New data sources may appear, for example, as directories of data files are pushed to a storage service, or new tables are created within a SQL server. Distribute data in a custom format ---------------------------------- Sometimes, the well-known data formats are just not right for a given data-set, and a custom-built format is required. In such cases, the code to read the data may not exist in any library. Intake allows for code to be distributed along with data source specs/catalogs or even files in a single ``conda`` package. That encapsulates everything needed to describe and use that particular data, and can then be distributed as a single entity, and installed with a one-liner. Furthermore, should the few builtin container types (sequence, array, dataframe) not be sufficient, you can supply your own, and then build drivers that use it. This was done, for example, for ``xarray``-type data, where multiple related N-D arrays share a coordinate system and metadata. By creating this container, a whole world of scientific and engineering data was opened up to Intake. Creating new containers is not hard, though, and we foresee more coming, such as machine-learning models and streaming/real-time data. Create Intake data-sets from scratch ------------------------------------ If you have a set of files or a data service which you wish to make into a data-set, so that you can include it in a catalog, you should use the set of functions ``intake.open_*``, where you need to pick the function appropriate for your particular data. You can use tab-completion to list the set of data drivers you have installed, and find others you may not yet have installed at :ref:`plugin-directory`. Once you have determined the right set of parameters to load the data in the manner you wish, you can use the source's ``.yaml()`` method to find the spec that describes the source, so you can insert it into a catalog (with appropriate description and metadata). Alternatively, you can open a YAML file as a catalog with ``intake.open_catalog`` and use its ``.add()`` method to insert the source into the corresponding file. If, instead, you have data in your session in one of the containers supported by Intake (e.g., array, data-frame), you can use the ``intake.upload()`` function to save it to files in an appropriate format and a location you specify, and give you back a data-source instance, which, again, you can use with ``.yaml()`` or ``.add()``, as above. intake-0.6.5/intake/000077500000000000000000000000001416666122400142605ustar00rootroot00000000000000intake-0.6.5/intake/__init__.py000066400000000000000000000134141416666122400163740ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import importlib import re import logging import os import warnings from ._version import get_versions __version__ = get_versions()['version'] del get_versions from .source import register_driver, registry from .catalog.base import Catalog imports = { "DataSource": "intake.source.base:DataSource", 'Schema': "intake.source.base:Schema", "load_combo_catalog": "intake.catalog.default:load_combo_catalog", "upload": "intake.container:upload", "gui": "intake.interface:instance", "cat": "intake.catalog:builtin", "output_notebook": "intake.interface:output_notebook", "register_driver": "intake.source:register_driver", "unregister_driver": "intake.source:unregister_driver", } openers = {} logger = logging.getLogger('intake') def __getattr__(attr): """Lazy attribute propagator Defers inputs of functions until they are needed, according to the contents of the ``imports`` and ``openers`` dicts """ gl = globals() if attr in openers: driver = openers[attr].load() gl[attr] = driver else: if attr in gl: return gl[attr] elif attr in imports: dest = imports[attr] modname = dest.split(":", 1)[0] logger.debug("Importing: %s" % modname) mod = importlib.import_module(modname) if ":" in dest: gl[attr] = getattr(mod, dest.split(":")[1]) else: gl[attr] = mod if attr == "__all__": return __dir__() try: return gl[attr] except KeyError: raise AttributeError(attr) def __dir__(*_, **__): return sorted(list(globals()) + list(openers) + list(imports)) def make_open_functions(): """From the current state of ``registry``, create open_* functions""" import entrypoints for plugin in entrypoints.get_group_all('intake.drivers'): register_driver(plugin.name, plugin, True) func_name = 'open_' + plugin.name if not func_name.isidentifier(): # primitive name normalization func_name = re.sub('[-=~^&|@+]', '_', func_name) if func_name.isidentifier(): # stash name for dir() and later fetch openers[func_name] = plugin else: warnings.warn('Invalid Intake plugin name "%s" found.' % plugin.name) make_open_functions() def open_catalog(uri=None, **kwargs): """Create a Catalog object Can load YAML catalog files, connect to an intake server, or create any arbitrary Catalog subclass instance. In the general case, the user should supply ``driver=`` with a value from the plugins registry which has a container type of catalog. File locations can generally be remote, if specifying a URL protocol. The default behaviour if not specifying the driver is as follows: - if ``uri`` is a a single string ending in "yml" or "yaml", open it as a catalog file - if ``uri`` is a list of strings, a string containing a glob character ("*") or a string not ending in "y(a)ml", open as a set of catalog files. In the latter case, assume it is a directory. - if ``uri`` beings with protocol ``"intake:"``, connect to a remote Intake server - if ``uri`` is ``None`` or missing, create a base Catalog object without entries. Parameters ---------- uri: str or pathlib.Path Designator for the location of the catalog. kwargs: passed to subclass instance, see documentation of the individual catalog classes. For example, ``yaml_files_cat`` (when specifying multiple uris or a glob string) takes the additional parameter ``flatten=True|False``, specifying whether all data sources are merged in a single namespace, or each file becomes a sub-catalog. See also -------- intake.open_yaml_files_cat, intake.open_yaml_file_cat, intake.open_intake_remote """ driver = kwargs.pop('driver', None) if isinstance(uri, os.PathLike): uri = os.fspath(uri) if driver is None: if uri: if ((isinstance(uri, str) and "*" in uri) or ((isinstance(uri, (list, tuple))) and len(uri) > 1)): # glob string or list of files/globs driver = 'yaml_files_cat' elif isinstance(uri, (list, tuple)) and len(uri) == 1: uri = uri[0] if "*" in uri[0]: # single glob string in a list driver = 'yaml_files_cat' else: # single filename in a list driver = 'yaml_file_cat' elif isinstance(uri, str): # single URL if uri.startswith('intake:'): # server driver = 'intake_remote' else: if uri.endswith(('.yml', '.yaml')): driver = 'yaml_file_cat' else: uri = uri.rstrip('/') + '/*.y*ml' driver = 'yaml_files_cat' else: raise ValueError("URI not understood: %s" % uri) else: # empty cat driver = 'catalog' if '_file' not in driver: kwargs.pop('fs', None) if driver not in registry: raise ValueError('Unknown catalog driver (%s), supply one of: %s' % (driver, list(sorted(registry)))) return registry[driver](uri, **kwargs) intake-0.6.5/intake/_version.py000066400000000000000000000441641416666122400164670ustar00rootroot00000000000000from __future__ import print_function # This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build # directories (produced by setup.py build) will contain a much shorter file # that just contains the computed version number. # This file is released into the public domain. Generated by # versioneer-0.18 (https://github.com/warner/python-versioneer) """Git implementation of _version.py.""" import errno import os import re import subprocess import sys def get_keywords(): """Get the keywords needed to look up the version information.""" # these strings will be replaced by git during git-archive. # setup.py/versioneer.py will grep for the variable names, so they must # each be defined on a line of their own. _version.py will just call # get_keywords(). git_refnames = " (HEAD -> master, tag: 0.6.5)" git_full = "bc1d43524f9f0c38ccc5285d1f3fa02c37339372" git_date = "2022-01-09 17:32:52 -0500" keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} return keywords class VersioneerConfig: """Container for Versioneer configuration parameters.""" def get_config(): """Create, populate and return the VersioneerConfig() object.""" # these strings are filled in when 'setup.py versioneer' creates # _version.py cfg = VersioneerConfig() cfg.VCS = "git" cfg.style = "pep440" cfg.tag_prefix = "" cfg.parentdir_prefix = "intake-" cfg.versionfile_source = "intake/_version.py" cfg.verbose = False return cfg class NotThisMethod(Exception): """Exception raised if a method is not valid for the current scenario.""" LONG_VERSION_PY = {} HANDLERS = {} def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f return decorate def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None for c in commands: try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git p = subprocess.Popen([c] + args, cwd=cwd, env=env, stdout=subprocess.PIPE, stderr=(subprocess.PIPE if hide_stderr else None)) break except EnvironmentError: e = sys.exc_info()[1] if e.errno == errno.ENOENT: continue if verbose: print("unable to run %s" % dispcmd) print(e) return None, None else: if verbose: print("unable to find command, tried %s" % (commands,)) return None, None stdout = p.communicate()[0].strip() if sys.version_info[0] >= 3: stdout = stdout.decode() if p.returncode != 0: if verbose: print("unable to run %s (error)" % dispcmd) print("stdout was %s" % stdout) return None, p.returncode return stdout, p.returncode def versions_from_parentdir(parentdir_prefix, root, verbose): """Try to determine the version from the parent directory name. Source tarballs conventionally unpack into a directory that includes both the project name and a version string. We will also support searching up two directory levels for an appropriately named parent directory """ rootdirs = [] for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): return {"version": dirname[len(parentdir_prefix):], "full-revisionid": None, "dirty": False, "error": None, "date": None} else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: print("Tried directories %s but none started with prefix %s" % (str(rootdirs), parentdir_prefix)) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") @register_vcs_handler("git", "get_keywords") def git_get_keywords(versionfile_abs): """Extract version information from the given file.""" # the code embedded in _version.py can just fetch the value of these # keywords. When used from setup.py, we don't want to import _version.py, # so we do it with a regexp instead. This function is not used from # _version.py. keywords = {} try: f = open(versionfile_abs, "r") for line in f.readlines(): if line.strip().startswith("git_refnames ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["refnames"] = mo.group(1) if line.strip().startswith("git_full ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["full"] = mo.group(1) if line.strip().startswith("git_date ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["date"] = mo.group(1) f.close() except EnvironmentError: pass return keywords @register_vcs_handler("git", "keywords") def git_versions_from_keywords(keywords, tag_prefix, verbose): """Get version information from git keywords.""" if not keywords: raise NotThisMethod("no keywords at all, weird") date = keywords.get("date") if date is not None: # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant # datestamp. However we prefer "%ci" (which expands to an "ISO-8601 # -like" string, which we must then edit to make compliant), because # it's been around since git-1.5.3, and it's too difficult to # discover which version we're using, or to work around using an # older one. date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) refnames = keywords["refnames"].strip() if refnames.startswith("$Format"): if verbose: print("keywords are unexpanded, not using") raise NotThisMethod("unexpanded keywords, not a git-archive tarball") refs = set([r.strip() for r in refnames.strip("()").split(",")]) # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %d # expansion behaves like git log --decorate=short and strips out the # refs/heads/ and refs/tags/ prefixes that would let us distinguish # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". tags = set([r for r in refs if re.search(r'\d', r)]) if verbose: print("discarding '%s', no digits" % ",".join(refs - tags)) if verbose: print("likely tags: %s" % ",".join(sorted(tags))) for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): r = ref[len(tag_prefix):] if verbose: print("picking %s" % r) return {"version": r, "full-revisionid": keywords["full"].strip(), "dirty": False, "error": None, "date": date} # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") return {"version": "0+unknown", "full-revisionid": keywords["full"].strip(), "dirty": False, "error": "no suitable tags", "date": None} @register_vcs_handler("git", "pieces_from_vcs") def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): """Get version from 'git describe' in the root of the source tree. This only gets called if the git-archive 'subst' keywords were *not* expanded, and _version.py hasn't already been rewritten with a short version string, meaning we're inside a checked out source tree. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %s not under git control" % root) raise NotThisMethod("'git rev-parse --git-dir' returned error") # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", "--always", "--long", "--match", "%s*" % tag_prefix], cwd=root) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") describe_out = describe_out.strip() full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root) if full_out is None: raise NotThisMethod("'git rev-parse' failed") full_out = full_out.strip() pieces = {} pieces["long"] = full_out pieces["short"] = full_out[:7] # maybe improved later pieces["error"] = None # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] # TAG might have hyphens. git_describe = describe_out # look for -dirty suffix dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: git_describe = git_describe[:git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? pieces["error"] = ("unable to parse git-describe output: '%s'" % describe_out) return pieces # tag full_tag = mo.group(1) if not full_tag.startswith(tag_prefix): if verbose: fmt = "tag '%s' doesn't start with prefix '%s'" print(fmt % (full_tag, tag_prefix)) pieces["error"] = ("tag '%s' doesn't start with prefix '%s'" % (full_tag, tag_prefix)) return pieces pieces["closest-tag"] = full_tag[len(tag_prefix):] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) # commit: short hex revision ID pieces["short"] = mo.group(3) else: # HEX: no tags pieces["closest-tag"] = None count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces def plus_or_dot(pieces): """Return a + if we don't already have one, else return a .""" if "+" in pieces.get("closest-tag", ""): return "." return "+" def render_pep440(pieces): """Build up version string, with post-release "local version identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty Exceptions: 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += plus_or_dot(pieces) rendered += "%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" else: # exception #1 rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered def render_pep440_pre(pieces): """TAG[.post.devDISTANCE] -- No -dirty. Exceptions: 1: no tags. 0.post.devDISTANCE """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += ".post.dev%d" % pieces["distance"] else: # exception #1 rendered = "0.post.dev%d" % pieces["distance"] return rendered def render_pep440_post(pieces): """TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that .dev0 sorts backwards (a dirty tree will appear "older" than the corresponding clean one), but you shouldn't be releasing software with -dirty anyways. Exceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += plus_or_dot(pieces) rendered += "g%s" % pieces["short"] else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += "+g%s" % pieces["short"] return rendered def render_pep440_old(pieces): """TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty. Eexceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" return rendered def render_git_describe(pieces): """TAG[-DISTANCE-gHEX][-dirty]. Like 'git describe --tags --dirty --always'. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render_git_describe_long(pieces): """TAG-DISTANCE-gHEX[-dirty]. Like 'git describe --tags --dirty --always -long'. The distance/hash is unconditional. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: return {"version": "unknown", "full-revisionid": pieces.get("long"), "dirty": None, "error": pieces["error"], "date": None} if not style or style == "default": style = "pep440" # the default if style == "pep440": rendered = render_pep440(pieces) elif style == "pep440-pre": rendered = render_pep440_pre(pieces) elif style == "pep440-post": rendered = render_pep440_post(pieces) elif style == "pep440-old": rendered = render_pep440_old(pieces) elif style == "git-describe": rendered = render_git_describe(pieces) elif style == "git-describe-long": rendered = render_git_describe_long(pieces) else: raise ValueError("unknown style '%s'" % style) return {"version": rendered, "full-revisionid": pieces["long"], "dirty": pieces["dirty"], "error": None, "date": pieces.get("date")} def get_versions(): """Get version information or return default if unable to do so.""" # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have # __file__, we can work backwards from there to the root. Some # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which # case we can only use expanded keywords. cfg = get_config() verbose = cfg.verbose try: return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose) except NotThisMethod: pass try: root = os.path.realpath(__file__) # versionfile_source is the relative path from the top of the source # tree (where the .git directory might live) to this file. Invert # this to find the root from __file__. for i in cfg.versionfile_source.split('/'): root = os.path.dirname(root) except NameError: return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to find root of source tree", "date": None} try: pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose) return render(pieces, cfg.style) except NotThisMethod: pass try: if cfg.parentdir_prefix: return versions_from_parentdir(cfg.parentdir_prefix, root, verbose) except NotThisMethod: pass return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to compute version", "date": None} intake-0.6.5/intake/auth/000077500000000000000000000000001416666122400152215ustar00rootroot00000000000000intake-0.6.5/intake/auth/__init__.py000066400000000000000000000005061416666122400173330ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/auth/base.py000066400000000000000000000045221416666122400165100ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from ..utils import DictSerialiseMixin class AuthenticationFailure(Exception): pass class BaseAuth(DictSerialiseMixin): """Base class for authorization Subclass this and override the methods to implement a new type of auth. This basic class allows all access. """ def __init__(self, *args): self.args = args def allow_connect(self, header): """Is the requests header given allowed to talk to the server Parameters ---------- header: dict The HTTP header from the incoming request """ return True def allow_access(self, header, source, catalog): """Is the given HTTP header allowed to access given data source Parameters ---------- header: dict The HTTP header from the incoming request source: CatalogEntry The data source the user wants to access. catalog: Catalog The catalog object containing this data source. """ return True def get_case_insensitive(self, dictionary, key, default=None): """Case-insensitive search of a dictionary for key. Returns the value if key match is found, otherwise default. """ lower_key = key.lower() for k, v in dictionary.items(): if lower_key == k.lower(): return v else: return default class BaseClientAuth(object): """Base class for client-side setting of authorization headers This basic class adds no headers to remote catalog reqests """ def __init__(self, *args): self.args = args def __dask_tokenize__(self): return hash(self) @property def _tok(self): from dask.base import tokenize return tokenize({'cls': type(self).__name__, 'args': self.args}) def __hash__(self): return int(self._tok, 16) def get_headers(self): """Returns a dictionary of HTTP headers for the remote catalog request. """ return {} intake-0.6.5/intake/auth/secret.py000066400000000000000000000035341416666122400170650ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import logging from .base import BaseAuth, BaseClientAuth import uuid logger = logging.getLogger('intake') class SecretAuth(BaseAuth): """A very simple auth mechanism using a shared secret Parameters ---------- secret: str The string that must be matched in the requests. If None, a random UUID is generated and logged. key: str Header entry in which to seek the secret """ def __init__(self, secret=None, key='intake-secret'): if secret is None: secret = uuid.uuid1().hex logger.info('Random server secret: %s' % secret) self.secret = secret self.key = key def allow_connect(self, header): try: return self.get_case_insensitive(header, self.key, '') \ == self.secret except: return False def allow_access(self, header, source, catalog): try: return self.get_case_insensitive(header, self.key, '') \ == self.secret except: return False class SecretClientAuth(BaseClientAuth): """Matching client auth plugin to SecretAuth Parameters ---------- secret: str The string that must be included requests. key: str HTTP Header key for the shared secret """ def __init__(self, secret, key='intake-secret'): self.secret = secret self.key = key super(SecretClientAuth, self).__init__() def get_headers(self): return {self.key: self.secret} intake-0.6.5/intake/auth/tests/000077500000000000000000000000001416666122400163635ustar00rootroot00000000000000intake-0.6.5/intake/auth/tests/__init__.py000066400000000000000000000005061416666122400204750ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/auth/tests/test_auth.py000066400000000000000000000047231416666122400207430ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from intake.auth.base import BaseAuth, BaseClientAuth from intake.auth.secret import SecretAuth,SecretClientAuth from intake.utils import remake_instance def test_get(): auth = remake_instance('intake.auth.base.BaseAuth') assert isinstance(auth, BaseAuth) auth = remake_instance('intake.auth.secret.SecretAuth') assert isinstance(auth, SecretAuth) def test_base(): auth = BaseAuth() assert auth.allow_connect(None) assert auth.allow_access(None, None, None) def test_base_client(): auth = BaseClientAuth() assert auth.get_headers() == {} def test_base_get_case_insensitive(): auth = BaseAuth() d = {'foo': 1, 'BAR': 2} assert auth.get_case_insensitive(d, 'foo') == 1 assert auth.get_case_insensitive(d, 'Foo') == 1 assert auth.get_case_insensitive(d, 'FOO') == 1 assert auth.get_case_insensitive(d, 'bar') == 2 assert auth.get_case_insensitive(d, 'Bar') == 2 assert auth.get_case_insensitive(d, 'BAR') == 2 assert auth.get_case_insensitive(d, 'no') is None assert auth.get_case_insensitive(d, 'no', '') == '' def test_secret(): secret = 'test-secret' auth = SecretAuth(secret=secret) assert not auth.allow_connect({}) assert not auth.allow_connect({'intake-secret': ''}) assert not auth.allow_connect({'intake-secret': None}) assert not auth.allow_connect({'intake-secret': 'wrong'}) assert auth.allow_connect({'intake-secret': secret}) # HTTP headers are not case sensitive, and frequently recapitalized assert auth.allow_connect({'Intake-Secret': secret}) assert not auth.allow_access({'intake-secret': 'wrong'}, None, None) assert auth.allow_access({'intake-secret': secret}, None, None) auth = SecretAuth(secret=secret, key='another_header') assert not auth.allow_connect({'intake-secret': secret}) assert auth.allow_connect({'another_header': secret}) def test_secret_client(): secret = 'test-secret' auth = SecretClientAuth(secret=secret) assert auth.get_headers() == { 'intake-secret': secret} auth = SecretClientAuth(secret=secret, key='another_header') assert auth.get_headers() == { 'another_header': secret} intake-0.6.5/intake/catalog/000077500000000000000000000000001416666122400156725ustar00rootroot00000000000000intake-0.6.5/intake/catalog/__init__.py000066400000000000000000000015431416666122400200060ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from .base import Catalog from .local import MergedCatalog, EntrypointsCatalog from .default import load_combo_catalog def _make_builtin(): return MergedCatalog( [EntrypointsCatalog(), load_combo_catalog()], name='builtin', description='Generated from data packages found on your intake search path') def __getattr__(name): """Only make the builtin catalog on request""" global builtin if name == "builtin": builtin = _make_builtin() return builtin raise AttributeError(name) intake-0.6.5/intake/catalog/base.py000066400000000000000000000417311416666122400171640ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import keyword import logging import re import time from ..source.base import DataSource, NoEntry, DataSourceBase from .utils import reload_on_change logger = logging.getLogger('intake') class Catalog(DataSource): """Manages a hierarchy of data sources as a collective unit. A catalog is a set of available data sources for an individual entity (remote server, local file, or a local directory of files). This can be expanded to include a collection of subcatalogs, which are then managed as a single unit. A catalog is created with a single URI or a collection of URIs. A URI can either be a URL or a file path. Each catalog in the hierarchy is responsible for caching the most recent refresh time to prevent overeager queries. Attributes ---------- metadata : dict Arbitrary information to carry along with the data source specs. """ # emulate a DataSource container = 'catalog' name = 'catalog' auth = None def __init__(self, entries=None, name=None, description=None, metadata=None, ttl=60, getenv=True, getshell=True, persist_mode='default', storage_options=None, user_parameters=None): """ Parameters ---------- entries : dict, optional Mapping of {name: entry} name : str, optional Unique identifier for catalog. This takes precedence over whatever is stated in the cat file itself. Defaults to None. description : str, optional Description of the catalog. This takes precedence over whatever is stated in the cat file itself. Defaults to None. metadata: dict Additional information about this data ttl : float, optional Lifespan (time to live) of cached modification time. Units are in seconds. Defaults to 1. getenv: bool Can parameter default fields take values from the environment getshell: bool Can parameter default fields run shell commands persist_mode: ['always', 'default', 'never'] Defines the use of persisted sources: if 'always', will use a persisted version of a data source, if it exists, if 'never' will always use the original source. If 'default', persisted sources will be used if they have not expired, and re-persisted and used if they have. storage_options : dict If using a URL beginning with 'intake://' (remote Intake server), parameters to pass to requests when issuing http commands; otherwise parameters to pass to remote backend file-system. Ignored for normal local files. """ super(Catalog, self).__init__() self.name = name self.description = description self.metadata = metadata or {} self.ttl = ttl self.getenv = getenv self.getshell = getshell self.storage_options = storage_options if isinstance(user_parameters, dict) and user_parameters: from .local import UserParameter self.user_parameters = {name: (UserParameter(name=name, **up) if isinstance(up, dict) else up) for name, up in user_parameters.items()} elif isinstance(user_parameters, (list, tuple)): self.user_parameters = {up["name"]: up for up in user_parameters} else: self.user_parameters = {} if persist_mode not in ['always', 'never', 'default']: # should be True, False, None ? raise ValueError('Persist mode (%s) not understood' % persist_mode) self.pmode = persist_mode if entries and isinstance(entries, str): raise ValueError( "The class intake.Catalog does not accept a string for " "`entries`\n" "Did you mean to use `intake.open_catalog`? Note that in " "versions of intake <=0.5.4 `intake.Catalog` was an " "alias for `intake.open_catalog`. It is now the intake base " "Catalog class.") self.updated = time.time() self._entries = entries if entries is not None else self._make_entries_container() self.force_reload() @classmethod def from_dict(cls, entries, **kwargs): """ Create Catalog from the given set of entries Parameters ---------- entries : dict-like A mapping of name:entry which supports dict-like functionality, e.g., is derived from ``collections.abc.Mapping``. kwargs : passed on the constructor Things like metadata, name; see ``__init__``. Returns ------- Catalog instance """ cat = cls(**kwargs) cat._entries = entries return cat @property def kwargs(self): return dict(name=self.name, ttl=self.ttl) def _make_entries_container(self): """Subclasses may override this to return some other dict-like. See RemoteCatalog below for the motivating example for this hook. This is typically useful for large Catalogs backed by dynamic resources such as databases. The object returned by this method must implement: * ``__iter__()`` -> an iterator of entry names * ``__getitem__(key)`` -> an Entry * ``items()`` -> an iterator of ``(key, Entry)`` pairs For best performance the object should also implement: * ``__len__()`` -> int * ``__contains__(key)`` -> boolean In ``__len__`` or ``__contains__`` are not implemented, intake will fall back on iterating through the entire catalog to compute its length or check for containment, which may be expensive on large catalogs. """ return {} def _load(self): """Override this: load catalog entries""" pass def force_reload(self): """Imperative reload data now""" self.updated = time.time() self._load() def reload(self): """Reload catalog if sufficient time has passed""" if time.time() - self.updated > self.ttl: self.force_reload() @property def version(self): # default version for pre-v1 files return self.metadata.get('version', 1) @reload_on_change def search(self, text, depth=2): import copy words = text.lower().split() entries = {k: copy.copy(v)for k, v in self.walk(depth=depth).items() if any(word in str(v.describe().values()).lower() for word in words)} cat = Catalog.from_dict( entries, name=self.name + "_search", ttl=self.ttl, getenv=self.getenv, getshell=self.getshell, metadata=(self.metadata or {}).copy(), storage_options=self.storage_options, user_parameters=self.user_parameters.copy() ) cat.metadata['search'] = {'text': text, 'upstream': self.name} cat.cat = self for e in entries.values(): e._catalog = cat return cat def filter(self, func): """ Create a Catalog of a subset of entries based on a condition .. warning :: This function operates on CatalogEntry objects not DataSource objects. .. note :: Note that, whatever specific class this is performed on, the return instance is a Catalog. The entries are passed unmodified, so they will still reference the original catalog instance and include its details such as directory,. Parameters ---------- func : function This should take a CatalogEntry and return True or False. Those items returning True will be included in the new Catalog, with the same entry names Returns ------- Catalog New catalog with Entries that still refer to their parents """ return Catalog.from_dict({key: entry for key, entry in self._entries.items() if func(entry)}) @reload_on_change def walk(self, sofar=None, prefix=None, depth=2): """Get all entries in this catalog and sub-catalogs Parameters ---------- sofar: dict or None Within recursion, use this dict for output prefix: list of str or None Names of levels already visited depth: int Number of levels to descend; needed to truncate circular references and for cleaner output Returns ------- Dict where the keys are the entry names in dotted syntax, and the values are entry instances. """ out = sofar if sofar is not None else {} prefix = [] if prefix is None else prefix for name, item in self._entries.items(): if item._container == 'catalog' and depth > 1: # recurse with default open parameters try: item().walk(out, prefix + [name], depth-1) except Exception as e: print(e) pass # ignore inability to descend n = '.'.join(prefix + [name]) out[n] = item return out def items(self): """Get an iterator over (key, source) tuples for the catalog entries.""" for name, entry in self._get_entries().items(): yield name, entry() def values(self): """Get an iterator over the sources for catalog entries.""" for entry in self._get_entries().values(): yield entry() def serialize(self): """ Produce YAML version of this catalog. Note that this is not the same as ``.yaml()``, which produces a YAML block referring to this catalog. """ import yaml output = {"metadata": self.metadata, "sources": {}, "name": self.name} for key, entry in self._entries.items(): kw = entry._captured_init_kwargs.copy() kw.pop('catalog', None) kw['parameters'] = {k.name: k.__getstate__()['kwargs'] for k in kw.get('parameters', [])} try: if issubclass(kw['driver'], DataSourceBase): kw['driver'] = ".".join([kw['driver'].__module__, kw['driver'].__name__]) except TypeError: pass # ignore exception for a string input output["sources"][key] = kw return yaml.dump(output) def save(self, url, storage_options=None): """ Output this catalog to a file as YAML Parameters ---------- url : str Location to save to, perhaps remote storage_options : dict Extra arguments for the file-system """ from fsspec import open_files with open_files([url], **(storage_options or {}), mode='wt')[0] as f: f.write(self.serialize()) @reload_on_change def _get_entry(self, name): entry = self._entries[name] entry._catalog = self entry._pmode = self.pmode up_names = set((up["name"] if isinstance(up, dict) else up.name) for up in entry._user_parameters) ups = [up for name, up in self.user_parameters.items() if name not in up_names] entry._user_parameters = ups + (entry._user_parameters or []) return entry() def configure_new(self, **kwargs): from .local import UserParameter ups = {} for k, v in kwargs.copy().items(): for up in self.user_parameters.values(): if isinstance(up, dict): if k == up["name"]: kw = up.copy() kw['default'] = v ups[k] = UserParameter(**kw) kwargs.pop(k) else: if k == up.name: kw = up._captured_init_kwargs.copy() kw['default'] = v kw["name"] = k ups[k] = UserParameter(**kw) kwargs.pop(k) new = super().configure_new(**kwargs) new.user_parameters.update(ups) return new __call__ = get = configure_new @reload_on_change def _get_entries(self): return self._entries def __iter__(self): """Return an iterator over catalog entry names.""" return iter(self._get_entries()) def keys(self): """Entry names in this catalog as an iterator (alias for __iter__)""" return iter(self) def __len__(self): return len(self._get_entries()) def __contains__(self, key): # Avoid iterating through all entries. return key in self._get_entries() # triggers reload_on_change def __dir__(self): # Include tab-completable entries and normal attributes. return ( [entry for entry in self if re.match("[_A-Za-z][_a-zA-Z0-9]*$", entry) # valid Python identifer and not keyword.iskeyword(entry)] # not a Python keyword + list(self.__dict__.keys())) def _ipython_key_completions_(self): return list(self) def __repr__(self): return "" % self.name def __getattr__(self, item): # we need this special case here because the (deprecated) entry # property on the base class if item == 'entry': raise NoEntry("Source was not made from a catalog entry") if not item.startswith('_'): # Fall back to __getitem__. try: return self[item] # triggers reload_on_change except KeyError as e: raise AttributeError(item) from e raise AttributeError(item) def __setitem__(self, key, entry): """Add entry to catalog This relies on the `_entries` attribute being mutable, which it normally is. Note that if a catalog automatically reloads, any entry added here may be very transient Parameters ---------- key : str Key to give the entry in the cat entry : CatalogEntry The entry to include (could be local, remote) """ self._entries[key] = entry def pop(self, key): """Remove entry from catalog and return it This relies on the `_entries` attribute being mutable, which it normally is. Note that if a catalog automatically reloads, any entry removed here may soon reappear Parameters ---------- key : str Key to give the entry in the cat """ return self._entries.pop(key) def __getitem__(self, key): """Return a catalog entry by name. Can also use attribute syntax, like ``cat.entry_name``, or item lookup cat['non-python name']. This enables walking through nested directories with cat.name1.name2, cat['name1.name2'] *or* cat['name1', 'name2'] """ if not isinstance(key, list) and key in self: # triggers reload_on_change s = self._get_entry(key) if s.container == 'catalog': s.name = key s.user_parameters.update(self.user_parameters.copy()) return s return s if isinstance(key, str) and '.' in key: key = key.split('.') if isinstance(key, list): parts = list(key)[:] prefix = '' while parts: bit = parts.pop(0) prefix = prefix + ('.' if prefix else '') + bit if prefix in self._entries: rest = '.'.join(parts) try: out = self._entries[prefix][rest] return out() except KeyError: # name conflict like "thing" and "think.oi", where it's # the latter we are after continue elif isinstance(key, tuple): out = self for part in key: out = out[part] return out() raise KeyError(key) def discover(self): return {"container": 'catalog', 'shape': None, 'dtype': None, 'metadata': self.metadata} def _close(self): # TODO: maybe close all entries? pass @property def gui(self): if not hasattr(self, '_gui'): from .gui import CatalogGUI self._gui = CatalogGUI(cat=self, visible=True) else: self._gui.visible = True return self._gui intake-0.6.5/intake/catalog/default.py000066400000000000000000000060671416666122400177010ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import appdirs import json import os import subprocess import sys from intake.config import conf from intake.utils import make_path_posix from .local import YAMLFilesCatalog, Catalog def load_user_catalog(): """Return a catalog for the platform-specific user Intake directory""" cat_dir = user_data_dir() if not os.path.isdir(cat_dir): return Catalog() else: return YAMLFilesCatalog(cat_dir) def user_data_dir(): """Return the user Intake catalog directory""" return appdirs.user_data_dir(appname='intake', appauthor='intake') def load_global_catalog(): """Return a catalog for the environment-specific Intake directory""" cat_dir = global_data_dir() if not os.path.isdir(cat_dir): return Catalog() else: return YAMLFilesCatalog(cat_dir) CONDA_VAR = 'CONDA_PREFIX' VIRTUALENV_VAR = 'VIRTUAL_ENV' def conda_prefix(): """Fallback: ask conda in PATH for its prefix""" try: out = subprocess.check_output(['conda', 'info', '--json']) return json.loads(out.decode())["default_prefix"] except (subprocess.CalledProcessError, json.JSONDecodeError, OSError): return False def which(program): """Emulate posix ``which``""" import distutils.spawn return distutils.spawn.find_executable(program) def global_data_dir(): """Return the global Intake catalog dir for the current environment""" prefix = False if VIRTUALENV_VAR in os.environ: prefix = os.environ[VIRTUALENV_VAR] elif CONDA_VAR in os.environ: prefix = sys.prefix elif which('conda'): # conda exists but is not activated prefix = conda_prefix() if prefix: # conda and virtualenv use Linux-style directory pattern return make_path_posix(os.path.join(prefix, 'share', 'intake')) else: return appdirs.site_data_dir(appname='intake', appauthor='intake') def load_combo_catalog(): """Load a union of the user and global catalogs for convenience""" user_dir = user_data_dir() global_dir = global_data_dir() desc = 'Generated from data packages found on your intake search path' cat_dirs = [] if os.path.isdir(user_dir): cat_dirs.append(user_dir + '/*.yaml') cat_dirs.append(user_dir + '/*.yml') if os.path.isdir(global_dir): cat_dirs.append(global_dir + '/*.yaml') cat_dirs.append(global_dir + '/*.yml') for path_dir in conf.get('catalog_path', []): if path_dir != '': if not path_dir.endswith(('yaml', 'yml')): cat_dirs.append(path_dir + '/*.yaml') cat_dirs.append(path_dir + '/*.yml') else: cat_dirs.append(path_dir) return YAMLFilesCatalog(cat_dirs, name='builtin', description=desc) intake-0.6.5/intake/catalog/entry.py000066400000000000000000000124031416666122400174050ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import time from ..utils import DictSerialiseMixin, pretty_describe class CatalogEntry(DictSerialiseMixin): """A single item appearing in a catalog This is the base class, used by local entries (i.e., read from a YAML file) and by remote entries (read from a server). """ def __init__(self, getenv=True, getshell=True): self._default_source = None self.getenv = getenv self.getshell = getshell self._pmode = 'default' def describe(self): """Get a dictionary of attributes of this entry. Returns: dict with keys name: str The name of the catalog entry. container : str kind of container used by this data source description : str Markdown-friendly description of data source direct_access : str Mode of remote access: forbid, allow, force user_parameters : list[dict] List of user parameters defined by this entry """ raise NotImplementedError def get(self, **user_parameters): """Open the data source. Equivalent to calling the catalog entry like a function. Note: ``entry()``, ``entry.attr``, ``entry[item]`` check for persisted sources, but directly calling ``.get()`` will always ignore the persisted store (equivalent to ``self._pmode=='never'``). Parameters ---------- user_parameters : dict Values for user-configurable parameters for this data source Returns ------- DataSource """ raise NotImplementedError def __call__(self, persist=None, **kwargs): """Instantiate DataSource with given user arguments Parameters ---------- persist: str or None Override persistence mode defined in the parent catalog. If not None, must be one of ['always', 'never', 'default']. Has no effect if the source has never been persisted, use source.persist() """ from ..source.base import PersistMixin if persist is not None and persist not in [ 'always', 'never', 'default']: raise ValueError('Persist value (%s) not understood' % persist) persist = persist or self._pmode s = self.get(**kwargs) if persist != 'never' and isinstance(s, PersistMixin) and s.has_been_persisted: from ..container.persist import store s2 = s.get_persisted() met = s2.metadata if persist == 'always' or not met['ttl']: s = s2 elif met['ttl'] < time.time() - met['timestamp']: s = s2 else: s = store.refresh(s2) s._entry = self s._passed_kwargs = list(kwargs) return s @property def container(self): return getattr(self, '_container', None) @container.setter def container(self, cont): # so that .container (which sources always have) always reflects ._container, # which is the variable name for entries. self._container = cont @property def has_been_persisted(self, **kwargs): """For the source created with the given args, has it been persisted?""" return self.get(**kwargs).has_been_persisted @property def plots(self): """List custom associated quick-plots """ return list(self._metadata.get('plots', {})) def _ipython_display_(self): """Display the entry as a rich object in an IPython session.""" from IPython.display import display import json contents = self.describe() display({ 'application/json': json.dumps(contents), 'text/plain': pretty_describe(contents) }, metadata={ 'application/json': {'root': contents["name"]} }, raw=True) def _yaml(self): return {"sources": {self.name: self.describe()}} def __iter__(self): # If the entry is a catalog, this allows list(cat.entry) if self._container == 'catalog': return iter(self()) else: raise ValueError('Cannot iterate a catalog entry') def __getitem__(self, item): """Pass getitem to data source, assuming default parameters Also supports multiple items ([.., ..]), in which case the first component only will be used to instantiate, and the rest passed on. """ if isinstance(item, tuple): if len(item) > 1: return self()[item[0]].__getitem__(item[1:]) else: item = item[0] return self()[item] def __repr__(self): return pretty_describe(self.describe()) @property def gui(self): if not hasattr(self, '_gui'): from .gui import EntryGUI self._gui = EntryGUI(source=self, visible=True) else: self._gui.visible = True return self._gui intake-0.6.5/intake/catalog/exceptions.py000066400000000000000000000047311416666122400204320ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- class CatalogException(Exception): """Basic exception for errors raised by catalog""" class PermissionDenied(CatalogException): """Raised when user requests functionality that they do not have permission to access. """ class ShellPermissionDenied(PermissionDenied): """The user does not have permission to execute shell commands.""" def __init__(self, msg=None): if msg is None: msg = "Additional permissions needed to execute shell commands." super(ShellPermissionDenied, self).__init__(msg) class EnvironmentPermissionDenied(PermissionDenied): """The user does not have permission to read environment variables.""" def __init__(self, msg=None): if msg is None: msg = "Additional permissions needed to read environment variables." super(EnvironmentPermissionDenied, self).__init__(msg) class ValidationError(CatalogException): """Something's wrong with the catalog spec""" def __init__(self, message, errors): super(ValidationError, self).__init__(message) self.errors = errors class DuplicateKeyError(ValidationError): """Catalog contains key duplications""" def __init__(self, context, context_mark, problem, problem_mark): line = problem_mark.line column = problem_mark.column msg = "duplicate key found on line {}, column {}".format( line + 1, column + 1) super(DuplicateKeyError, self).__init__(msg, []) class ObsoleteError(ValidationError): pass class ObsoleteParameterError(ObsoleteError): def __init__(self): msg = """Detected old syntax. See details for upgrade instructions to new syntax: [old syntax] parameters: - name: abc type: str [new syntax] parameters: abc: type: str """ super(ObsoleteParameterError, self).__init__(msg, []) class ObsoleteDataSourceError(ObsoleteError): def __init__(self): msg = """Detected old syntax. See details for upgrade instructions to new syntax: [old syntax] sources: - name: abc driver: csv [new syntax] sources: abc: driver: csv """ super(ObsoleteDataSourceError, self).__init__(msg, []) intake-0.6.5/intake/catalog/gui.py000066400000000000000000000100111416666122400170210ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from functools import partial try: import panel as pn from ..interface.gui import SourceGUI, MAX_WIDTH, ICONS css = """ .scrolling { overflow: scroll; } """ pn.config.raw_css.append(css) # add scrolling class from css (panel GH#383, GH#384) pn.extension() class EntryGUI(SourceGUI): def __init__(self, source=None, **kwargs): self.source = source super().__init__(sources=[self.source], **kwargs) self.panel = pn.Column( pn.Row(ICONS['logo'], pn.Column(*self.controls)), self.description.panel, self.plot.panel ) def setup(self): self._setup_watchers() @SourceGUI.visible.setter def visible(self, visible): self._visible = visible if visible: self.setup() self.select.visible = True self.description.visible = True elif not visible: self.unwatch() # do children self.select.visible = False self.description.visible = False self.plot.visible = False if self.visible_callback: self.visible_callback(visible) @property def item(self): return self.source class CatalogGUI(SourceGUI): def __init__(self, cat, **kwargs): self.cat = cat super().__init__(cats=[self.cat], **kwargs) self.panel = pn.Column( pn.Row( pn.panel(ICONS['logo']), pn.Row( pn.Column( self.select.panel, self.control_panel, margin=0 ), self.description.panel, margin=0 ), ), self.plot.panel ) def setup(self): self._setup_watchers() @SourceGUI.visible.setter def visible(self, visible): self._visible = visible if visible: self.setup() self.select.visible = True self.description.visible = True if len(self.control_panel.objects) == 0: self.control_panel.extend(self.controls) elif not visible: self.unwatch() # do children self.select.visible = False self.control_panel.clear() self.description.visible = False self.plot.visible = False if self.visible_callback: self.visible_callback(visible) @property def item(self): """Item that is selected""" if len(self.sources) == 0: return None return self.sources[0] except ImportError: class GUI(object): def __init__(self, *args, **kwargs): pass def __repr__(self): raise RuntimeError("Please install panel to use the GUI (`conda " "install -c conda-forge panel>0.8.0`)") EntryGUI = GUI CatalogGUI = GUI except Exception as e: class GUI(object): def __init__(self, *args, **kwargs): pass def __repr__(self): raise RuntimeError("Initialization of GUI failed, even though " "panel is installed. Please update it " "to a more recent version (`conda install -c " "conda-forge panel==0.5.1`).") EntryGUI = GUI CatalogGUI = GUI intake-0.6.5/intake/catalog/local.py000066400000000000000000001014161416666122400173410ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import collections import inspect import logging import os import warnings import entrypoints from fsspec import get_filesystem_class, open_files from fsspec.core import split_protocol from .. import __version__ from ..source import get_plugin_class, register_driver from ..source.discovery import load_plugins_from_module from ..utils import DictSerialiseMixin, classname, make_path_posix, yaml_load from . import exceptions from .base import Catalog, DataSource from .entry import CatalogEntry from .utils import (COERCION_RULES, _has_catalog_dir, coerce, expand_defaults, merge_pars) logger = logging.getLogger('intake') class UserParameter(DictSerialiseMixin): """ A user-settable item that is passed to a DataSource upon instantiation. For string parameters, default may include special functions ``func(args)``, which *may* be expanded from environment variables or by executing a shell command. Parameters ---------- name: str the key that appears in the DataSource argument strings description: str narrative text type: str one of list ``(COERSION_RULES)`` default: type value same type as ``type``. It a str, may include special functions env, shell, client_env, client_shell. min, max: type value for validation of user input allowed: list of type for validation of user input """ def __init__(self, name, description=None, type=None, default=None, min=None, max=None, allowed=None): self.name = name self.description = description self.type = type or __builtins__["type"](default).__name__ self.min = min self.max = max self.allowed = allowed self._default = default try: self.default = coerce(self.type, default) except (ValueError, TypeError): self.default = None self.expanded_default = self.default if self.min: self.min = coerce(self.type, self.min) if self.max: self.max = coerce(self.type, self.max) if self.allowed and type != "mlist": self.allowed = [coerce(self.type, item) for item in self.allowed] def __repr__(self): return f'<{self.__class__.__name__} {self.name!r}>' __str__ = __repr__ def describe(self): """Information about this parameter""" desc = { 'name': self.name, 'description': self.description, # the Parameter might not have a type at all 'type': self.type or 'unknown', } for attr in ['min', 'max', 'allowed', 'default']: v = getattr(self, attr) if v is not None: desc[attr] = v return desc def expand_defaults(self, client=False, getenv=True, getshell=True): """Compile env, client_env, shell and client_shell commands """ if not isinstance(self._default, str): self.expanded_default = self._default else: self.expanded_default = coerce(self.type, expand_defaults( self._default, client, getenv, getshell)) def validate(self, value): """Does value meet parameter requirements?""" if self.type is not None: value = coerce(self.type, value) if self.type == "mlist": for v in value: if v not in self.allowed: raise ValueError("Item %s not in allowed list", v) return value if self.min is not None and value < self.min: raise ValueError('%s=%s is less than %s' % (self.name, value, self.min)) if self.max is not None and value > self.max: raise ValueError('%s=%s is greater than %s' % ( self.name, value, self.max)) if self.allowed is not None and value not in self.allowed: raise ValueError('%s=%s is not one of the allowed values: %s' % ( self.name, value, ','.join(map(str, self.allowed)))) return value class LocalCatalogEntry(CatalogEntry): """A catalog entry on the local system """ def __init__(self, name, description, driver, direct_access=True, args={}, cache=[], parameters=[], metadata={}, catalog_dir='', getenv=True, getshell=True, catalog=None): """ Parameters ---------- name: str How this entry is known, normally from its key in a YAML file, or if that is not provided then from name of file, or name of dir if file name is 'catalog.yaml' or 'catalog.yml'. description: str Brief text about the target source driver: str, list, dict or DataSource subclass The plugin(s) that can load this. Can be a simple name like "csv", which will be looked up in the registry, a fully-qualified class name ("package.mod.Class"), a list of these which would all work, a dictionary of the same with reasonable names, or an explicit class derived from DataSource. direct_access: bool Is the client allowed to attempt to reach this data args: dict Passed when instantiating the plugin DataSource parameters: list UserParameters that can be set metadata: dict Additional information about this data catalog_dir: str Location of the catalog, if known getenv: bool Can parameter default fields take values from the environment getshell: bool Can parameter default fields run shell commands catalog: bool Catalog object in which this entry belongs """ self._name = name self._default_source = None self._description = description self._driver = driver self._direct_access = direct_access self._open_args = args self._cache = cache self._user_parameters = parameters self._metadata = metadata or {} self._catalog_dir = catalog_dir self._filesystem = None self._catalog = catalog if isinstance(driver, str): dr = get_plugin_class(driver) self._plugin = [dr] if dr is not None else [] containers = set(p.container for p in self._plugin) elif isinstance(driver, list): self._plugin = [get_plugin_class(d) for d in driver] self._plugin = [p for p in self._plugin if p is not None] containers = set(p.container for p in self._plugin) elif isinstance(driver, dict): self._plugin = {d: get_plugin_class(driver[d]['class']) for d in driver} self._plugin = {k: v for k, v in self._plugin.items() if v is not None} containers = set(p.container for p in self._plugin.values()) elif inspect.isclass(driver) and issubclass(driver, DataSource): self._plugin = [driver] containers = {driver.container} else: raise TypeError('Driver was not a string, list, dict or DataSource:' ' %s' % driver) if len(containers) > 1: # this is an error, because cat is poorly specified, even if other # plugins are OK raise ValueError('Plugins for a data source must have only one ' 'container.') if len(containers) == 0: # this is only debug, this single entry won't work, but cat is OK. # you get an error if you try to actually use this entry logger.debug('No plugins for entry: %s' % self.name) containers = [None] self._container = list(containers)[0] super(LocalCatalogEntry, self).__init__( getenv=getenv, getshell=getshell) @property def name(self): return self._name def describe(self): """Basic information about this entry""" if isinstance(self._plugin, list): pl = [p.name for p in self._plugin] elif isinstance(self._plugin, dict): pl = {k: classname(v) for k, v in self._plugin.items()} else: pl = self._plugin if isinstance(self._plugin, str) else self._plugin.name return { 'name': self._name, 'container': self._container, 'plugin': pl, # deprecated 'driver': pl, 'description': self._description, 'direct_access': self._direct_access, 'user_parameters': [u.describe() for u in self._user_parameters], 'metadata': self._metadata, 'args': self._open_args } def _create_open_args(self, user_parameters): plugin = user_parameters.pop('plugin', None) md = self._metadata.copy() if self._metadata is not None else {} md['catalog_dir'] = self._catalog_dir if user_parameters.pop('cache', None) or self._cache: md['cache'] = user_parameters.pop('cache', None) or self._cache params = {'metadata': md, 'CATALOG_DIR': self._catalog_dir, } params.update(self._open_args) if ('storage_options' not in params and self._filesystem is not None and self._filesystem.storage_options and _has_catalog_dir(params)): params['storage_options'] = self._filesystem.storage_options open_args = merge_pars(params, user_parameters, self._user_parameters, getshell=self.getshell, getenv=self.getenv, client=False) if len(self._plugin) == 0: raise ValueError('No plugins loaded for this entry: %s\n' 'A listing of installable plugins can be found ' 'at https://intake.readthedocs.io/en/latest/plugin' '-directory.html .' % self._driver) elif isinstance(self._plugin, list): plugin = self._plugin[0] else: # dict if plugin is None: # default selection for dict plugin = list(self._plugin)[0] spec = self._driver[plugin] open_args.update(spec.get('args', {})) try: plugin = self._plugin[plugin] except KeyError: raise ValueError('Attempt to select unavailable plugin %s, ' 'perhaps import of plugin failed' % plugin) return plugin, open_args def get(self, **user_parameters): """Instantiate the DataSource for the given parameters""" if not user_parameters and self._default_source is not None: return self._default_source plugin, open_args = self._create_open_args(user_parameters) data_source = plugin(**open_args) data_source.catalog_object = self._catalog data_source.name = self.name data_source.description = self._description data_source.cat = self._catalog # Cache the default source if there are no user parameters. if not user_parameters: self._default_source = data_source return data_source def clear_cached_default_source(self): """ Clear a cached default source so it can be created anew (if, for instance, it depends on changing environment variables or execution context) """ self._default_source = None class CatalogParser(object): """Loads entries from a YAML spec""" def __init__(self, data, getenv=True, getshell=True, context=None): self._context = context if context else {} self._errors = [] self._warnings = [] self.getenv = getenv self.getshell = getshell self._data = self._parse(data) @property def ok(self): return len(self._errors) == 0 @property def data(self): return self._data @property def errors(self): return self._errors @property def warnings(self): return self._warnings def error(self, msg, obj, key=None): if key is not None: self._errors.append(str((msg, obj, key))) else: self._errors.append(str((msg, obj))) def warning(self, msg, obj, key=None): if key is None: self._warnings.append(str((msg, obj))) else: self._warnings.append(str((msg, obj, key))) def _parse_plugins(self, data): if 'plugins' not in data: return if not isinstance(data['plugins'], dict): self.error("value of key 'plugins' must be a dictionary", data, 'plugins') return if 'source' not in data['plugins']: self.error("missing key 'source'", data['plugins']) return if not isinstance(data['plugins']['source'], list): self.error("value of key 'source' must be a list", data['plugins'], 'source') return for plugin_source in data['plugins']['source']: if not isinstance(plugin_source, dict): self.error("value in list of plugins sources must be a " "dictionary", data['plugins'], 'source') continue if 'module' in plugin_source: register_plugin_module(plugin_source['module']) elif 'dir' in plugin_source: self.error( "The key 'dir', and in general the feature of registering " "plugins from a directory of Python scripts outside of " "sys.path, is no longer supported. Use 'module'.", plugin_source) else: self.error("missing 'module'", plugin_source) def _getitem(self, obj, key, dtype, required=True, default=None, choices=None): if key in obj: if isinstance(obj[key], dtype): if choices and obj[key] not in choices: self.error("value '{}' is invalid (choose from {})".format( obj[key], choices), obj, key) else: return obj[key] else: self.error("value '{}' is not expected type '{}'".format( obj[key], dtype.__name__), obj, key) return None elif required: self.error("missing required key '{}'".format(key), obj) return None elif default: return default return None if dtype is object else dtype() def _parse_user_parameter(self, name, data): valid_types = list(COERCION_RULES) params = { 'name': name, 'description': self._getitem(data, 'description', str), 'type': self._getitem(data, 'type', str, choices=valid_types), 'default': self._getitem(data, 'default', object, required=False), 'min': self._getitem(data, 'min', object, required=False), 'max': self._getitem(data, 'max', object, required=False), 'allowed': self._getitem(data, 'allowed', object, required=False) } if params['description'] is None or params['type'] is None: return None return UserParameter(**params) def _parse_data_source(self, name, data): if data.pop('remote', False): from intake.catalog.remote import RemoteCatalogEntry return RemoteCatalogEntry(getenv=self.getenv, getshell=self.getshell, **data) elif 'cls' in data: from intake.utils import remake_instance return remake_instance(data) else: return self._parse_data_source_local(name, data) def _parse_data_source_local(self, name, data): ds = { 'name': name, 'description': self._getitem(data, 'description', str, required=False), 'driver': self._getitem(data, 'driver', object), 'direct_access': self._getitem( data, 'direct_access', str, required=False, default='forbid', choices=['forbid', 'allow', 'force']), 'args': self._getitem(data, 'args', dict, required=False), 'cache': self._getitem(data, 'cache', list, required=False), 'metadata': self._getitem(data, 'metadata', dict, required=False) } if ds['driver'] is None: return None ds['parameters'] = [] if 'parameters' in data: if isinstance(data['parameters'], list): raise exceptions.ObsoleteParameterError if not isinstance(data['parameters'], dict): self.error("value of key 'parameters' must be a dictionary", data, 'parameters') return None for name, parameter in data['parameters'].items(): if not isinstance(name, str): self.error("key '{}' must be a string".format(name), data['parameters'], name) continue if not isinstance(parameter, dict): self.error("value of key '{}' must be a dictionary" "".format(name), data['parameters'], name) continue obj = self._parse_user_parameter(name, parameter) if obj: ds['parameters'].append(obj) return LocalCatalogEntry(catalog_dir=self._context['root'], getenv=self.getenv, getshell=self.getshell, **ds) def _parse_data_sources(self, data): sources = [] if 'sources' not in data: self.error("missing key 'sources'", data) return sources if isinstance(data['sources'], list): raise exceptions.ObsoleteDataSourceError if not isinstance(data['sources'], dict): self.error("value of key 'sources' must be a dictionary", data, 'sources') return sources for name, source in data['sources'].items(): if not isinstance(name, str): self.error("key '{}' must be a string".format(name), data['sources'], name) continue if not isinstance(source, dict): self.error("value of key '{}' must be a dictionary" "".format(name), data['sources'], name) continue obj = self._parse_data_source(name, source) if obj: sources.append(obj) return sources def _parse(self, data): if not isinstance(data, dict): self.error("catalog must be a dictionary", data) return return dict( plugin_sources=self._parse_plugins(data), data_sources=self._parse_data_sources(data), metadata=data.get('metadata', {}), name=data.get('name'), description=data.get('description'), ) def register_plugin_module(mod): """Find plugins in given module""" for k, v in load_plugins_from_module(mod).items(): if k: if isinstance(k, (list, tuple)): k = k[0] register_driver(k, v) def get_dir(path): if '://' in path: protocol, _ = split_protocol(path) out = get_filesystem_class(protocol)._parent(path) if "://" not in out: # some FSs strip this, some do not out = protocol + "://" + out return out path = make_path_posix( os.path.join(os.getcwd(), os.path.dirname(path))) if path[-1] != '/': path += '/' return path class YAMLFileCatalog(Catalog): """Catalog as described by a single YAML file""" version = __version__ container = 'catalog' partition_access = None name = 'yaml_file_cat' def __init__(self, path, autoreload=True, **kwargs): """ Parameters ---------- path: str Location of the file to parse (can be remote) reload : bool Whether to watch the source file for changes; make False if you want an editable Catalog """ self.path = path self.text = None self.autoreload = autoreload # set this to False if don't want reloads self.filesystem = kwargs.pop('fs', None) self.access = "name" not in kwargs super(YAMLFileCatalog, self).__init__(**kwargs) def _load(self, reload=False): """Load text of catalog file and pass to parse Will do nothing if auto-reload is off and reload is not explicitly requested """ if self.access is False: # skip first load, if cat has given name (i.e., is subcat) self.updated = 0 self.access = True return if self.autoreload or reload: # First, we load from YAML, failing if syntax errors are found options = self.storage_options or {} if hasattr(self.path, 'path') or hasattr(self.path, 'read'): file_open = self.path self.path = make_path_posix( getattr(self.path, 'path', getattr(self.path, 'name', 'file'))) elif self.filesystem is None: file_open = open_files(self.path, mode='rb', **options) assert len(file_open) == 1 file_open = file_open[0] self.filesystem = file_open.fs else: file_open = self.filesystem.open(self.path, mode='rb') self._dir = get_dir(self.path) with file_open as f: text = f.read().decode() if "!template " in text: logger.warning("Use of '!template' deprecated - fixing") text = text.replace('!template ', '') self.parse(text) def add(self, source, name=None, path=None, storage_options=None): """Add sources to the catalog and save into the original file This adds the source into the catalog dictionary, and saves the resulting catalog as YAML. Typically, this would be used to update a catalog file in-place. Optionally, the new catalog can be saved to a new location, in which case the new catalog is returned. Note that if a source of the given name exists, it will be clobbered. Parameters ---------- source : DataSource instance The source whose spec we want to save name : str or None The name the source is to have in the catalog; use the source's name attribute, if not given. path : str or None Location to save the new catalog; if None, the original location from which it was loaded storage_options : dict or None If saving to a new location, use these arguments for the filesystem backend Returns ------- YAMLFileCatalog instance, containing the new entry """ import yaml entries = self._entries.copy() name = name or source.name or "source" entries[name] = source if path is None: options = self.storage_options or {} file_open = open_files([self.path], mode='wt', **options) else: options = storage_options or {} file_open = open_files([path], mode='wt', **options) assert len(file_open) == 1 file_open = file_open[0] data = {'metadata': self.metadata, 'sources': {}} for e in entries: data['sources'][e] = list(entries[e]._yaml()['sources'].values())[0] with file_open as f: yaml.dump(data, f, default_flow_style=False) if path: return self else: return YAMLFileCatalog(self.path, storage_options=storage_options, autoreload=self.autoreload) def parse(self, text): """Create entries from catalog text Normally the text comes from the file at self.path via the ``_load()`` method, but could be explicitly set instead. A copy of the text is kept in attribute ``.text`` . Parameters ---------- text : str YAML formatted catalog spec """ self.text = text data = yaml_load(self.text) if data is None: raise exceptions.CatalogException('No YAML data in file') # Second, we validate the schema and semantics context = dict(root=self._dir) result = CatalogParser(data, context=context, getenv=self.getenv, getshell=self.getshell) if result.errors: raise exceptions.ValidationError( "Catalog '{}' has validation errors:\n\n{}" "".format(self.path, "\n".join(result.errors)), result.errors) cfg = result.data self._entries = {} shared_parameters = data.get("metadata", {}).get("parameters", {}) self.user_parameters.update({ name: UserParameter(name, **attrs) for name, attrs in shared_parameters.items() }) for entry in cfg['data_sources']: entry._catalog = self self._entries[entry.name] = entry entry._filesystem = self.filesystem self.metadata = cfg.get('metadata', {}) self.name = self.name or cfg.get('name') or self.name_from_path self.description = self.description or cfg.get('description') @property def name_from_path(self): """If catalog is named 'catalog' take name from parent directory""" name = os.path.splitext(os.path.basename(self.path))[0] if name == 'catalog': name = os.path.basename(os.path.dirname(self.path)) return name.replace('.', '_') class YAMLFilesCatalog(Catalog): """Catalog as described by a multiple YAML files""" version = __version__, container = 'catalog' partition_access = None name = 'yaml_files_cat' def __init__(self, path, flatten=True, **kwargs): """ Parameters ---------- path: str Location of the files to parse (can be remote), including possible glob (*) character(s). Can also be list of paths, without glob characters. flatten: bool (True) Whether to list all entries in the cats at the top level (True) or create sub-cats from each file (False). """ self.path = path self._flatten = flatten self._kwargs = kwargs.copy() self._cat_files = [] self._cats = {} self.access = "name" not in kwargs super(YAMLFilesCatalog, self).__init__(**kwargs) def _load(self): # initial: find cat files # if flattening, need to get all entries from each. if self.access is False: # skip first load, if cat has given name (i.e., is subcat) self.updated = 0 self.access = True return self._entries.clear() options = self.storage_options or {} if isinstance(self.path, (list, tuple)): files = sum([open_files(p, mode='rb', **options) for p in self.path], []) self.name = self.name or "%i files" % len(files) self.description = self.description or f'Catalog generated from {len(files)} files' self.path = [make_path_posix(p) for p in self.path] else: if isinstance(self.path, str) and '*' not in self.path: self.path = self.path + '/*' files = open_files(self.path, mode='rb', **options) self.path = make_path_posix(self.path) self.name = self.name or self.path self.description = self.description or f'Catalog generated from all files found in {self.path}' if not set(f.path for f in files) == set( f.path for f in self._cat_files): # glob changed, reload all self._cat_files = files self._cats.clear() for f in files: name = os.path.split(f.path)[-1].replace( '.yaml', '').replace('.yml', '') kwargs = self.kwargs.copy() kwargs['path'] = f.path d = make_path_posix(os.path.dirname(f.path)) if f.path not in self._cats: entry = LocalCatalogEntry(name, "YAML file: %s" % name, 'yaml_file_cat', True, kwargs, [], [], self.metadata, d) if self._flatten: # store a concrete Catalog try: cat = entry() cat.reload() self.user_parameters.update(cat.user_parameters) self._cats[f.path] = cat except IOError as e: logger.info('Loading "%s" as a catalog failed: %s' '' % (entry, e)) else: # store a catalog entry self._cats[f.path] = entry entries = {} for name, entry in list(self._cats.items()): if self._flatten: entry.reload() inter = set(entry._entries).intersection(entries) if inter: raise ValueError( 'Conflicting names when flattening multiple' ' catalogs. Sources %s exist in more than' ' one' % inter) entries.update(entry._entries) else: entries[entry._name] = entry self._entries.update(entries) class MergedCatalog(Catalog): """ A Catalog that merges the entries of a list of catalogs. """ def __init__(self, catalogs, *args, **kwargs): self._catalogs = catalogs super().__init__(*args, **kwargs) def _load(self): for catalog in self._catalogs: catalog._load() self._entries = collections.ChainMap( *(catalog._entries for catalog in self._catalogs) ) class EntrypointEntry(CatalogEntry): """ A catalog entry for an entrypoint. """ def __init__(self, entrypoint): self._entrypoint = entrypoint self._container = None self._user_parameters = [] super().__init__() def __repr__(self): return f"" @property def name(self): return self._entrypoint.name def describe(self): """Basic information about this entry""" if self._container is None: self._container = self().container return {'name': self.name, 'module_name': self._entrypoint.module_name, 'object_name': self._entrypoint.object_name, 'distro': self._entrypoint.distro, 'extras': self._entrypoint.extras, 'container': self._container } def get(self): """Instantiate the DataSource for the given parameters""" return self._entrypoint.load() class EntrypointsCatalog(Catalog): """ A catalog of discovered entrypoint catalogs. """ def __init__(self, *args, entrypoints_group='intake.catalogs', paths=None, **kwargs): self._entrypoints_group = entrypoints_group self._paths = paths super().__init__(*args, **kwargs) def _load(self): catalogs = entrypoints.get_group_named(self._entrypoints_group, path=self._paths) self.name = self.name or 'EntrypointsCatalog' self.description = (self.description or f'EntrypointsCatalog of {len(catalogs)} catalogs.') for name, entrypoint in catalogs.items(): try: self._entries[name] = EntrypointEntry(entrypoint) except Exception as e: warnings.warn(f"Failed to load {name}, {entrypoint}, {e!r}.") # Register these early in the import process to support the default catalog # which is built at import time. (Without this, 'yaml_file_cat' is looked for # in intake.registry before the registry has been populated.) register_driver('yaml_file_cat', YAMLFileCatalog) register_driver('yaml_files_cat', YAMLFilesCatalog) intake-0.6.5/intake/catalog/remote.py000066400000000000000000000503511416666122400175430ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import collections import copy import keyword import logging import posixpath import re import warnings import msgpack from ..source import registry as plugin_registry from . import Catalog from .entry import CatalogEntry from .utils import expand_defaults, coerce, RemoteCatalogError from ..compat import unpack_kwargs, pack_kwargs from ..utils import remake_instance from intake.auth.base import BaseClientAuth, AuthenticationFailure logger = logging.getLogger('intake') class RemoteCatalog(Catalog): """The state of a remote Intake server""" name = 'intake_remote' def __init__(self, url, http_args=None, page_size=None, name=None, source_id=None, metadata=None, auth=None, ttl=1, getenv=True, getshell=True, storage_options=None, parameters=None, persist_mode="default"): """Connect to remote Intake Server as a catalog Parameters ---------- url: str Address of the server, e.g., "intake://localhost:5000". http_args: dict Arguments to add to HTTP calls, including "ssl" (True/False) for secure connections. page_size : int, optional The number of entries fetched at a time during iteration. Default is None (no pagination; fetch all entries in bulk). name : str, optional Unique identifier for catalog. This is primarily useful when manually constructing a catalog. Defaults to None. source_id : str, optional Emphemeral unique ID generated by the server, if known. metadata: dict Additional information about this data auth : BaseClientAuth or None Default, None, falls back to BaseClientAuth. ttl : float, optional Lifespan (time to live) of cached modification time. Units are in seconds. Defaults to 1. getenv: bool Can parameter default fields take values from the environment getshell: bool Can parameter default fields run shell commands storage_options : dict If using a URL beginning with 'intake://' (remote Intake server), parameters to pass to requests when issuing http commands; otherwise parameters to pass to remote backend file-system. Ignored for normal local files. parameters: dict To pass to the server when it instantiates the data source """ from requests.compat import urljoin, urlparse if http_args is None: http_args = {} else: # Make a deep copy to avoid mutating input. http_args = copy.deepcopy(http_args) secure = http_args.pop('ssl', False) scheme = 'https' if secure else 'http' url = url.replace('intake', scheme, 1) if not url.endswith('/'): url = url + '/' self.url = url self.info_url = urljoin(url, 'v1/info') self.source_url = urljoin(url, 'v1/source') self.http_args = http_args self.http_args.update(storage_options or {}) self.http_args['headers'] = self.http_args.get('headers', {}) self._page_size = page_size self._source_id = source_id self._parameters = parameters self._len = None self.auth = auth or BaseClientAuth() if self._source_id is None: name = urlparse(url).netloc.replace( '.', '_').replace(':', '_') super(RemoteCatalog, self).__init__( name=name, metadata=name, ttl=ttl, getenv=getenv, getshell=getshell, storage_options=storage_options, persist_mode=persist_mode) def _make_entries_container(self): return Entries(self) def __dir__(self): # Include (cached) tab-completable entries and normal attributes. return ( [key for key in self._ipython_key_completions_() if re.match("[_A-Za-z][_a-zA-Z0-9]*$", key) # valid Python identifier and not keyword.iskeyword(key)] # not a Python keyword + list(self.__dict__.keys())) def _ipython_key_completions_(self): if not self._entries.complete: # Ensure that at least one page of data has been loaded so that # *some* entries are included. next(iter(self)) if not self._entries.complete: warnings.warn( "Tab-complete and dir() on RemoteCatalog may include only a " "subset of the available entries.") # Loop through the cached entries, but do not trigger iteration over # the full set. # Intentionally access _entries directly to avoid paying for a reload. return [key for key, _ in self._entries.cached_items()] @property def page_size(self): return self._page_size def fetch_page(self, page_offset): import requests logger.debug("Request page entries %d-%d", page_offset, page_offset + self._page_size) params = {'page_offset': page_offset, 'page_size': self._page_size} http_args = self._get_http_args(params) response = requests.get(self.info_url, **http_args) # Produce a chained exception with both the underlying HTTPError # and our own more direct context. try: response.raise_for_status() except requests.HTTPError as err: raise RemoteCatalogError( "Failed to fetch page of entries {}-{}." "".format(page_offset, page_offset + self._page_size)) from err info = msgpack.unpackb(response.content, **unpack_kwargs) page = {} for source in info['sources']: user_parameters = source.get('user_parameters', []) # TODO Do something with self._parameters. page[source['name']] = RemoteCatalogEntry( url=self.url, getenv=self.getenv, getshell=self.getshell, auth=self.auth, http_args=self.http_args, page_size=self._page_size, persist_mode=self.pmode, # user_parameters=user_parameters, **source) return page def fetch_by_name(self, name): import requests logger.debug("Requesting info about entry named '%s'", name) params = {'name': name} http_args = self._get_http_args(params) response = requests.get(self.source_url, **http_args) if response.status_code == 404: raise KeyError(name) try: response.raise_for_status() except requests.HTTPError as err: raise RemoteCatalogError( "Failed to fetch entry {!r}.".format(name)) from err info = msgpack.unpackb(response.content, **unpack_kwargs) return RemoteCatalogEntry( url=self.url, getenv=self.getenv, getshell=self.getshell, auth=self.auth, http_args=self.http_args, page_size=self._page_size, persist_mode=self.pmode, **info['source']) def _get_http_args(self, params): """ Return a copy of the http_args Adds auth headers and 'source-id', merges in params. """ # Add the auth headers to any other headers headers = self.http_args.get('headers', {}) if self.auth is not None: auth_headers = self.auth.get_headers() headers.update(auth_headers) # build new http args with these headers http_args = self.http_args.copy() if self._source_id is not None: headers['source-id'] = self._source_id http_args['headers'] = headers # Merge in any params specified by the caller. merged_params = http_args.get('params', {}) merged_params.update(params) http_args['params'] = merged_params return http_args def _load(self): """Fetch metadata from remote. Entries are fetched lazily.""" # This will not immediately fetch any sources (entries). It will lazily # fetch sources from the server in paginated blocks when this Catalog # is iterated over. It will fetch specific sources when they are # accessed in this Catalog via __getitem__. import requests if self.page_size is None: # Fetch all source info. params = {} else: # Just fetch the metadata now; fetch source info later in pages. params = {'page_offset': 0, 'page_size': 0} http_args = self._get_http_args(params) response = requests.get(self.info_url, **http_args) try: response.raise_for_status() error = False except requests.HTTPError as err: if '403' in err.args[0]: error = "Your current level of authentication does not have access" else: raise RemoteCatalogError( "Failed to fetch metadata.") from err if error: raise AuthenticationFailure(error) info = msgpack.unpackb(response.content, **unpack_kwargs) self.metadata = info['metadata'] # The intake server now always provides a length, but the server may be # running an older version of intake. self._len = info.get('length') self._entries.reset() # If we are paginating (page_size is not None) and the server we are # working with is new enough to support pagination, info['sources'] # should be empty. If either of those things is not true, # info['sources'] will contain all the entries and we should cache them # now. if info['sources']: # Signal that we are not paginating, even if we were asked to. self._page_size = None self._entries._page_cache.update( {source['name']: RemoteCatalogEntry( url=self.url, getenv=self.getenv, getshell=self.getshell, auth=self.auth, http_args=self.http_args, **source) for source in info['sources']}) def search(self, *args, **kwargs): import requests request = {'action': 'search', 'query': (args, kwargs), 'source_id': self._source_id} response = requests.post( url=self.source_url, **self._get_http_args({}), data=msgpack.packb(request, **pack_kwargs)) try: response.raise_for_status() except requests.HTTPError as err: raise RemoteCatalogError("Failed search query.") from err source = msgpack.unpackb(response.content, **unpack_kwargs) source_id = source['source_id'] cat = RemoteCatalog( url=self.url, http_args=self.http_args, source_id=source_id, persist_mode=self.pmode, name="") cat.cat = self return cat def __len__(self): if self._len is None: # The server is running an old version of intake and did not # provide a length, so we have no choice but to do this the # expensive way. return sum(1 for _ in self) else: return self._len @staticmethod def _persist(source, path, **kwargs): return RemoteCatalog._data_to_source(source, path, **kwargs) @staticmethod def _data_to_source(cat, path, **kwargs): from intake.catalog.local import YAMLFileCatalog from fsspec import open_files import yaml if not isinstance(cat, Catalog): raise NotImplementedError out = {} # reach down into the private state because we apparently need the # Entry here rather than the public facing DataSource objects. for name, entry in cat._entries.items(): out[name] = entry.__getstate__() out[name]['parameters'] = [up._captured_init_kwargs for up in entry._user_parameters] out[name]['kwargs'].pop('parameters') fn = posixpath.join(path, 'cat.yaml') with open_files([fn], 'wt')[0] as f: yaml.dump({'sources': out}, f) return YAMLFileCatalog(fn) class Entries(collections.abc.Mapping): """Fetches entries from server on item lookup and iteration. This fetches pages of entries from the server during iteration and caches them. On __getitem__ it fetches the specific entry from the server. """ # This has PY3-style lazy methods (keys, values, items). Since it's # internal we should not need the PY2-only iter* variants. def __init__(self, catalog): self._catalog = catalog self._page_cache = collections.OrderedDict() # Put lookups that were due to __getitem__ in a separate cache # so that iteration reflects the server's order, not an # arbitrary cache order. self._direct_lookup_cache = {} self._page_offset = 0 # True if all pages are cached locally self.complete = self._catalog.page_size is None def reset(self): "Clear caches to force a reload." self._page_cache.clear() self._direct_lookup_cache.clear() self._page_offset = 0 self.complete = self._catalog.page_size is None def __iter__(self): for key in self._page_cache: yield key if self._catalog.page_size is None: # We are not paginating, either because the user set page_size=None # or the server is a version of intake before pagination parameters # were added. return # Fetch more entries from the server. while True: page = self._catalog.fetch_page(self._page_offset) self._page_cache.update(page) self._page_offset += len(page) for key in page: yield key if len(page) < self._catalog.page_size: # Partial or empty page. # We are done until the next call to items(), when we # will resume at the offset where we left off. self.complete = True break def cached_items(self): """ Iterate over items that are already cached. Perform no requests. """ for item in self._page_cache.items(): yield item for item in self._direct_lookup_cache.items(): yield item def __getitem__(self, key): try: return self._direct_lookup_cache[key] except KeyError: try: return self._page_cache[key] except KeyError: source = self._catalog.fetch_by_name(key) self._direct_lookup_cache[key] = source return source def __len__(self): return len(self._catalog) class RemoteCatalogEntry(CatalogEntry): """An entry referring to a remote data definition""" def __init__(self, url, auth, name=None, user_parameters=None, container=None, description='', metadata=None, http_args=None, page_size=None, persist_mode="default", direct_access=False, getenv=True, getshell=True, **kwargs): """ Parameters ---------- url: str HTTP address of the Intake server this entry comes from auth: Auth instance If there are additional headers to add to calls, this instance will provide them kwargs: additional keys describing the entry, name, description, container, """ self.url = url if isinstance(auth, dict): auth = remake_instance(auth) self.auth = auth self.container = container self.name = name self.description = description self._metadata = metadata or {} self._page_size = page_size # Persist mode describing a nested RemoteCatalog self.catalog_pmode = persist_mode self._user_parameters = [remake_instance(up) if (isinstance(up, dict) and 'cls' in up) else up for up in user_parameters or []] self._direct_access = direct_access self.http_args = (http_args or {}).copy() if 'headers' not in self.http_args: self.http_args['headers'] = {} super(RemoteCatalogEntry, self).__init__(getenv=getenv, getshell=getshell) # Persist mode for the RemoteCatalogEntry self._pmode = "never" def describe(self): return { 'name': self.name, 'container': self.container, 'plugin': "remote", 'description': self.description, 'direct_access': self._direct_access, 'metadata': self._metadata, 'user_parameters': self._user_parameters, 'args': (self.url, ) } def get(self, **user_parameters): for par in self._user_parameters: if par['name'] not in user_parameters: default = par['default'] if isinstance(default, str): default = coerce(par['type'], expand_defaults( par['default'], True, self.getenv, self.getshell)) user_parameters[par['name']] = default http_args = self.http_args.copy() http_args['headers'] = self.http_args['headers'].copy() http_args['headers'].update(self.auth.get_headers()) return open_remote( self.url, self.name, container=self.container, user_parameters=user_parameters, description=self.description, http_args=http_args, page_size=self._page_size, auth=self.auth, getenv=self.getenv, persist_mode=self.catalog_pmode, getshell=self.getshell) def open_remote(url, entry, container, user_parameters, description, http_args, page_size=None, persist_mode=None, auth=None, getenv=None, getshell=None): """Create either local direct data source or remote streamed source""" from intake.container import container_map import msgpack import requests from requests.compat import urljoin if url.startswith('intake://'): url = url[len('intake://'):] payload = dict(action='open', name=entry, parameters=user_parameters, available_plugins=list(plugin_registry.keys())) req = requests.post(urljoin(url, '/v1/source'), data=msgpack.packb(payload, **pack_kwargs), **http_args) if req.ok: response = msgpack.unpackb(req.content, **unpack_kwargs) if 'plugin' in response: pl = response['plugin'] pl = [pl] if isinstance(pl, str) else pl # Direct access for p in pl: if p in plugin_registry: source = plugin_registry[p](**response['args']) proxy = False break else: proxy = True else: proxy = True if proxy: response.pop('container') response.update({'name': entry, 'parameters': user_parameters}) if container == 'catalog': response.update({'auth': auth, 'getenv': getenv, 'getshell': getshell, 'page_size': page_size, 'persist_mode': persist_mode # TODO ttl? # TODO storage_options? }) source = container_map[container](url, http_args, **response) source.description = description return source else: raise Exception('Server error: %d, %s' % (req.status_code, req.reason)) intake-0.6.5/intake/catalog/tests/000077500000000000000000000000001416666122400170345ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/__init__.py000066400000000000000000000005061416666122400211460ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/catalog/tests/cache_data/000077500000000000000000000000001416666122400210705ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/cache_data/states.csv000066400000000000000000000726261416666122400231250ustar00rootroot00000000000000"state","slug","code","nickname","website","admission_date","admission_number","capital_city","capital_url","population","population_rank","constitution_url","state_flag_url","state_seal_url","map_image_url","landscape_background_url","skyline_background_url","twitter_url","facebook_url" "Alabama","alabama","AL","Yellowhammer State","http://www.alabama.gov","1819-12-14",22,"Montgomery","http://www.montgomeryal.gov",4833722,23,"http://alisondb.legislature.state.al.us/alison/default.aspx","https://cdn.civil.services/us-states/flags/alabama-large.png","https://cdn.civil.services/us-states/seals/alabama-large.png","https://cdn.civil.services/us-states/maps/alabama-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/alabama.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/alabama.jpg","https://twitter.com/alabamagov","https://www.facebook.com/alabamagov" "Alaska","alaska","AK","The Last Frontier","http://alaska.gov","1959-01-03",49,"Juneau","http://www.juneau.org",735132,47,"http://www.legis.state.ak.us/basis/folioproxy.asp?url=http://wwwjnu01.legis.state.ak.us/cgi-bin/folioisa.dll/acontxt/query=*/doc/{t1}?","https://cdn.civil.services/us-states/flags/alaska-large.png","https://cdn.civil.services/us-states/seals/alaska-large.png","https://cdn.civil.services/us-states/maps/alaska-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/alaska.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/alaska.jpg","https://twitter.com/alaska","https://www.facebook.com/AlaskaLocalGovernments" "Arizona","arizona","AZ","The Grand Canyon State","https://az.gov","1912-02-14",48,"Phoenix","https://www.phoenix.gov",6626624,15,"http://www.azleg.gov/Constitution.asp","https://cdn.civil.services/us-states/flags/arizona-large.png","https://cdn.civil.services/us-states/seals/arizona-large.png","https://cdn.civil.services/us-states/maps/arizona-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/arizona.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/arizona.jpg",, "Arkansas","arkansas","AR","The Natural State","http://arkansas.gov","1836-06-15",25,"Little Rock","http://www.littlerock.org",2959373,32,"http://www.arkleg.state.ar.us/assembly/Summary/ArkansasConstitution1874.pdf","https://cdn.civil.services/us-states/flags/arkansas-large.png","https://cdn.civil.services/us-states/seals/arkansas-large.png","https://cdn.civil.services/us-states/maps/arkansas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/arkansas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/arkansas.jpg","https://twitter.com/arkansasgov","https://www.facebook.com/Arkansas.gov" "California","california","CA","Golden State","http://www.ca.gov","1850-09-09",31,"Sacramento","http://www.cityofsacramento.org",38332521,1,"http://www.leginfo.ca.gov/const-toc.html","https://cdn.civil.services/us-states/flags/california-large.png","https://cdn.civil.services/us-states/seals/california-large.png","https://cdn.civil.services/us-states/maps/california-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/california.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/california.jpg","https://twitter.com/cagovernment", "Colorado","colorado","CO","The Centennial State","https://www.colorado.gov","1876-08-01",38,"Denver","http://www.denvergov.org",5268367,22,"https://www.colorado.gov/pacific/archives/government","https://cdn.civil.services/us-states/flags/colorado-large.png","https://cdn.civil.services/us-states/seals/colorado-large.png","https://cdn.civil.services/us-states/maps/colorado-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/colorado.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/colorado.jpg","https://twitter.com/coloradogov","https://www.facebook.com/Colorado.gov" "Connecticut","connecticut","CT","Constitution State","http://www.ct.gov","1788-01-09",5,"Hartford","http://www.hartford.gov",3596080,29,"http://www.ct.gov/sots/cwp/view.asp?a=3188&q=392288","https://cdn.civil.services/us-states/flags/connecticut-large.png","https://cdn.civil.services/us-states/seals/connecticut-large.png","https://cdn.civil.services/us-states/maps/connecticut-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/connecticut.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/connecticut.jpg",, "Delaware","delaware","DE","The First State / The Diamond State","http://delaware.gov","1787-12-07",1,"Dover","http://www.cityofdover.com",925749,45,"http://www.state.de.us/facts/constit/welcome.htm","https://cdn.civil.services/us-states/flags/delaware-large.png","https://cdn.civil.services/us-states/seals/delaware-large.png","https://cdn.civil.services/us-states/maps/delaware-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/delaware.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/delaware.jpg","https://twitter.com/delaware_gov","https://www.facebook.com/delaware.gov" "Florida","florida","FL","Sunshine State","http://www.myflorida.com","1845-03-03",27,"Tallahassee","https://www.talgov.com/Main/Home.aspx",19552860,4,"http://www.leg.state.fl.us/Statutes/index.cfm","https://cdn.civil.services/us-states/flags/florida-large.png","https://cdn.civil.services/us-states/seals/florida-large.png","https://cdn.civil.services/us-states/maps/florida-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/florida.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/florida.jpg",, "Georgia","georgia","GA","Peach State","http://georgia.gov","1788-01-02",4,"Atlanta","http://www.atlantaga.gov",9992167,8,"http://sos.ga.gov/admin/files/Constitution_2013_Final_Printed.pdf","https://cdn.civil.services/us-states/flags/georgia-large.png","https://cdn.civil.services/us-states/seals/georgia-large.png","https://cdn.civil.services/us-states/maps/georgia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/georgia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/georgia.jpg","http://twitter.com/georgiagov","http://www.facebook.com/pages/georgiagov/29760668054" "Hawaii","hawaii","HI","Aloha State","https://www.ehawaii.gov","1959-08-21",50,"Honolulu","http://www.co.honolulu.hi.us",1404054,40,"http://lrbhawaii.org/con","https://cdn.civil.services/us-states/flags/hawaii-large.png","https://cdn.civil.services/us-states/seals/hawaii-large.png","https://cdn.civil.services/us-states/maps/hawaii-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/hawaii.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/hawaii.jpg","https://twitter.com/ehawaiigov","https://www.facebook.com/ehawaii.gov" "Idaho","idaho","ID","Gem State","https://www.idaho.gov","1890-07-03",43,"Boise","http://www.cityofboise.org",1612136,39,"http://www.legislature.idaho.gov/idstat/IC/Title003.htm","https://cdn.civil.services/us-states/flags/idaho-large.png","https://cdn.civil.services/us-states/seals/idaho-large.png","https://cdn.civil.services/us-states/maps/idaho-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/idaho.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/idaho.jpg","https://twitter.com/IDAHOgov", "Illinois","illinois","IL","Prairie State","https://www.illinois.gov","1818-12-03",21,"Springfield","http://www.springfield.il.us",12882135,5,"http://www.ilga.gov/commission/lrb/conmain.htm","https://cdn.civil.services/us-states/flags/illinois-large.png","https://cdn.civil.services/us-states/seals/illinois-large.png","https://cdn.civil.services/us-states/maps/illinois-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/illinois.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/illinois.jpg",, "Indiana","indiana","IN","Hoosier State","http://www.in.gov","1816-12-11",19,"Indianapolis","http://www.indy.gov/Pages/Home.aspx",6570902,16,"http://www.law.indiana.edu/uslawdocs/inconst.html","https://cdn.civil.services/us-states/flags/indiana-large.png","https://cdn.civil.services/us-states/seals/indiana-large.png","https://cdn.civil.services/us-states/maps/indiana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/indiana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/indiana.jpg","https://twitter.com/in_gov","https://www.facebook.com/IndianaGovernment" "Iowa","iowa","IA","Hawkeye State","https://www.iowa.gov","1846-12-28",29,"Des Moines","http://www.ci.des-moines.ia.us",3090416,30,"http://publications.iowa.gov/135/1/history/7-7.html","https://cdn.civil.services/us-states/flags/iowa-large.png","https://cdn.civil.services/us-states/seals/iowa-large.png","https://cdn.civil.services/us-states/maps/iowa-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/iowa.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/iowa.jpg","https://twitter.com/IAGOVTWEETS", "Kansas","kansas","KS","Sunflower State","https://www.kansas.gov","1861-01-29",34,"Topeka","http://www.topeka.org",2893957,34,"https://kslib.info/405/Kansas-Constitution","https://cdn.civil.services/us-states/flags/kansas-large.png","https://cdn.civil.services/us-states/seals/kansas-large.png","https://cdn.civil.services/us-states/maps/kansas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/kansas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/kansas.jpg","http://www.twitter.com/ksgovernment","http://www.facebook.com/pages/Topeka-KS/Kansasgov-Kansas-Government-Online/52068474220" "Kentucky","kentucky","KY","Bluegrass State","http://kentucky.gov","1792-06-01",15,"Frankfort","http://frankfort.ky.gov",4395295,26,"http://www.lrc.state.ky.us/Legresou/Constitu/intro.htm","https://cdn.civil.services/us-states/flags/kentucky-large.png","https://cdn.civil.services/us-states/seals/kentucky-large.png","https://cdn.civil.services/us-states/maps/kentucky-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/kentucky.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/kentucky.jpg","https://twitter.com/kygov","https://www.facebook.com/kygov" "Louisiana","louisiana","LA","Pelican State","http://louisiana.gov","1812-04-30",18,"Baton Rouge","http://brgov.com",4625470,25,"http://senate.legis.state.la.us/Documents/Constitution","https://cdn.civil.services/us-states/flags/louisiana-large.png","https://cdn.civil.services/us-states/seals/louisiana-large.png","https://cdn.civil.services/us-states/maps/louisiana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/louisiana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/louisiana.jpg",, "Maine","maine","ME","Pine Tree State","http://www.maine.gov","1820-03-15",23,"Augusta","http://www.augustamaine.gov",1328302,41,"http://www.maine.gov/legis/const","https://cdn.civil.services/us-states/flags/maine-large.png","https://cdn.civil.services/us-states/seals/maine-large.png","https://cdn.civil.services/us-states/maps/maine-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/maine.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/maine.jpg","https://twitter.com/mainegov_news","http://www.facebook.com/pages/Augusta-ME/Mainegov/98519328240" "Maryland","maryland","MD","Old Line State","http://www.maryland.gov","1788-04-28",7,"Annapolis","http://www.annapolis.gov",5928814,19,"http://msa.maryland.gov/msa/mdmanual/43const/html/const.html","https://cdn.civil.services/us-states/flags/maryland-large.png","https://cdn.civil.services/us-states/seals/maryland-large.png","https://cdn.civil.services/us-states/maps/maryland-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/maryland.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/maryland.jpg","https://twitter.com/statemaryland","https://www.facebook.com/statemaryland" "Massachusetts","massachusetts","MA","Bay State","http://www.mass.gov","1788-02-06",6,"Boston","http://www.ci.boston.ma.us",6692824,14,"http://www.state.ma.us/legis/const.htm","https://cdn.civil.services/us-states/flags/massachusetts-large.png","https://cdn.civil.services/us-states/seals/massachusetts-large.png","https://cdn.civil.services/us-states/maps/massachusetts-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/massachusetts.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/massachusetts.jpg","http://twitter.com/massgov","https://www.facebook.com/massgov" "Michigan","michigan","MI","Wolverine State / Great Lakes State","http://www.michigan.gov","1837-01-26",26,"Lansing","http://cityoflansingmi.com",9895622,9,"http://www.legislature.mi.gov/(S(hrowl12tg05hemnnkidim1jb))/mileg.aspx?page=GetObject&objectname=mcl-Constitution","https://cdn.civil.services/us-states/flags/michigan-large.png","https://cdn.civil.services/us-states/seals/michigan-large.png","https://cdn.civil.services/us-states/maps/michigan-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/michigan.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/michigan.jpg","https://twitter.com/migov","https://www.facebook.com/MIgovernment" "Minnesota","minnesota","MN","North Star State / Land of 10,000 Lakes","https://mn.gov","1858-05-11",32,"Saint Paul","http://www.stpaul.gov",5420380,21,"http://www.house.leg.state.mn.us/cco/rules/mncon/preamble.htm","https://cdn.civil.services/us-states/flags/minnesota-large.png","https://cdn.civil.services/us-states/seals/minnesota-large.png","https://cdn.civil.services/us-states/maps/minnesota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/minnesota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/minnesota.jpg",, "Mississippi","mississippi","MS","Magnolia State","http://www.ms.gov","1817-12-10",20,"Jackson","http://www.city.jackson.ms.us",2991207,31,"http://law.justia.com/constitution/mississippi","https://cdn.civil.services/us-states/flags/mississippi-large.png","https://cdn.civil.services/us-states/seals/mississippi-large.png","https://cdn.civil.services/us-states/maps/mississippi-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/mississippi.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/mississippi.jpg","https://twitter.com/msdotgov","https://www.facebook.com/msdotgov" "Missouri","missouri","MO","Show Me State","https://www.mo.gov","1821-08-10",24,"Jefferson City","http://www.jeffcitymo.org",6044171,18,"http://www.moga.mo.gov/mostatutes/moconstn.html","https://cdn.civil.services/us-states/flags/missouri-large.png","https://cdn.civil.services/us-states/seals/missouri-large.png","https://cdn.civil.services/us-states/maps/missouri-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/missouri.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/missouri.jpg","https://twitter.com/MoGov","https://www.facebook.com/mogov" "Montana","montana","MT","Treasure State","http://mt.gov","1889-11-08",41,"Helena","http://www.ci.helena.mt.us",1015165,44,"http://courts.mt.gov/content/library/docs/72constit.pdf","https://cdn.civil.services/us-states/flags/montana-large.png","https://cdn.civil.services/us-states/seals/montana-large.png","https://cdn.civil.services/us-states/maps/montana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/montana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/montana.jpg",, "Nebraska","nebraska","NE","Cornhusker State","http://www.nebraska.gov","1867-03-01",37,"Lincoln","http://lincoln.ne.gov",1868516,37,"http://www.state.ne.us/legislative/statutes/C","https://cdn.civil.services/us-states/flags/nebraska-large.png","https://cdn.civil.services/us-states/seals/nebraska-large.png","https://cdn.civil.services/us-states/maps/nebraska-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/nebraska.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/nebraska.jpg","https://twitter.com/Nebraskagov","https://www.facebook.com/nebraska.gov" "Nevada","nevada","NV","The Silver State","http://nv.gov","1864-10-31",36,"Carson City","http://www.carson.org",2790136,35,"http://www.leg.state.nv.us/Const/NvConst.html","https://cdn.civil.services/us-states/flags/nevada-large.png","https://cdn.civil.services/us-states/seals/nevada-large.png","https://cdn.civil.services/us-states/maps/nevada-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/nevada.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/nevada.jpg",, "New Hampshire","new-hampshire","NH","Granite State","https://www.nh.gov","1788-06-21",9,"Concord","http://www.concordnh.gov",1323459,42,"http://www.state.nh.us/constitution/constitution.html","https://cdn.civil.services/us-states/flags/new-hampshire-large.png","https://cdn.civil.services/us-states/seals/new-hampshire-large.png","https://cdn.civil.services/us-states/maps/new-hampshire-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-hampshire.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-hampshire.jpg","https://twitter.com/nhgov", "New Jersey","new-jersey","NJ","Garden State","http://www.state.nj.us","1787-12-18",3,"Trenton","http://www.trentonnj.org",8899339,11,"http://www.njleg.state.nj.us/lawsconstitution/consearch.asp","https://cdn.civil.services/us-states/flags/new-jersey-large.png","https://cdn.civil.services/us-states/seals/new-jersey-large.png","https://cdn.civil.services/us-states/maps/new-jersey-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-jersey.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-jersey.jpg",, "New Mexico","new-mexico","NM","Land of Enchantment","http://www.newmexico.gov","1912-01-06",47,"Santa Fe","http://www.santafenm.gov",2085287,36,"http://www.loc.gov/law/guide/us-nm.html","https://cdn.civil.services/us-states/flags/new-mexico-large.png","https://cdn.civil.services/us-states/seals/new-mexico-large.png","https://cdn.civil.services/us-states/maps/new-mexico-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-mexico.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-mexico.jpg",, "New York","new-york","NY","Empire State","http://www.ny.gov","1788-07-26",11,"Albany","http://www.albanyny.org",19651127,3,"https://www.dos.ny.gov/info/constitution.htm","https://cdn.civil.services/us-states/flags/new-york-large.png","https://cdn.civil.services/us-states/seals/new-york-large.png","https://cdn.civil.services/us-states/maps/new-york-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-york.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-york.jpg","https://twitter.com/nygov", "North Carolina","north-carolina","NC","Old North State / Tar Heel State","http://www.nc.gov","1789-11-21",12,"Raleigh","http://www.raleigh-nc.org",9848060,10,"http://statelibrary.dcr.state.nc.us/nc/stgovt/preconst.htm","https://cdn.civil.services/us-states/flags/north-carolina-large.png","https://cdn.civil.services/us-states/seals/north-carolina-large.png","https://cdn.civil.services/us-states/maps/north-carolina-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/north-carolina.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/north-carolina.jpg","https://twitter.com/NCdotGov", "North Dakota","north-dakota","ND","Peace Garden State / Flickertail State / Roughrider State","http://www.nd.gov","1889-11-02",39,"Bismarck","http://www.bismarck.org",723393,48,"http://www.legis.nd.gov/information/statutes/const-laws.html","https://cdn.civil.services/us-states/flags/north-dakota-large.png","https://cdn.civil.services/us-states/seals/north-dakota-large.png","https://cdn.civil.services/us-states/maps/north-dakota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/north-dakota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/north-dakota.jpg","https://twitter.com/ExperienceND","https://www.facebook.com/ExperienceND" "Ohio","ohio","OH","Buckeye State","https://ohio.gov","1803-03-01",17,"Columbus","http://ci.columbus.oh.us",11570808,7,"http://www.legislature.state.oh.us/constitution.cfm","https://cdn.civil.services/us-states/flags/ohio-large.png","https://cdn.civil.services/us-states/seals/ohio-large.png","https://cdn.civil.services/us-states/maps/ohio-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/ohio.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/ohio.jpg","https://twitter.com/ohgov", "Oklahoma","oklahoma","OK","Sooner State","https://www.ok.gov","1907-11-16",46,"Oklahoma City","http://www.okc.gov",3850568,28,"http://oklegal.onenet.net/okcon","https://cdn.civil.services/us-states/flags/oklahoma-large.png","https://cdn.civil.services/us-states/seals/oklahoma-large.png","https://cdn.civil.services/us-states/maps/oklahoma-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/oklahoma.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/oklahoma.jpg","https://twitter.com/okgov","https://www.facebook.com/okgov" "Oregon","oregon","OR","Beaver State","http://www.oregon.gov","1859-02-14",33,"Salem","http://www.cityofsalem.net/Pages/default.aspx",3930065,27,"http://bluebook.state.or.us/state/constitution/constitution.htm","https://cdn.civil.services/us-states/flags/oregon-large.png","https://cdn.civil.services/us-states/seals/oregon-large.png","https://cdn.civil.services/us-states/maps/oregon-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/oregon.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/oregon.jpg",, "Pennsylvania","pennsylvania","PA","Keystone State","http://www.pa.gov","1787-12-12",2,"Harrisburg","http://harrisburgpa.gov",12773801,6,"http://sites.state.pa.us/PA_Constitution.html","https://cdn.civil.services/us-states/flags/pennsylvania-large.png","https://cdn.civil.services/us-states/seals/pennsylvania-large.png","https://cdn.civil.services/us-states/maps/pennsylvania-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/pennsylvania.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/pennsylvania.jpg","https://www.facebook.com/visitPA","https://twitter.com/visitPA" "Rhode Island","rhode-island","RI","The Ocean State","https://www.ri.gov","1790-05-29",13,"Providence","http://www.providenceri.com",1051511,43,"http://webserver.rilin.state.ri.us/RiConstitution","https://cdn.civil.services/us-states/flags/rhode-island-large.png","https://cdn.civil.services/us-states/seals/rhode-island-large.png","https://cdn.civil.services/us-states/maps/rhode-island-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/rhode-island.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/rhode-island.jpg","https://twitter.com/rigov","https://www.facebook.com/RIgov-Rhode-Island-Government-Online-24056655991" "South Carolina","south-carolina","SC","Palmetto State","http://www.sc.gov","1788-05-23",8,"Columbia","http://www.columbiasc.net",4774839,24,"http://www.scstatehouse.gov/scconstitution/scconst.php","https://cdn.civil.services/us-states/flags/south-carolina-large.png","https://cdn.civil.services/us-states/seals/south-carolina-large.png","https://cdn.civil.services/us-states/maps/south-carolina-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/south-carolina.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/south-carolina.jpg","https://twitter.com/scgov","http://www.facebook.com/pages/SCgov/12752057990" "South Dakota","south-dakota","SD","Mount Rushmore State","http://sd.gov","1889-11-02",40,"Pierre","http://ci.pierre.sd.us",844877,46,"http://legis.sd.gov/statutes/Constitution","https://cdn.civil.services/us-states/flags/south-dakota-large.png","https://cdn.civil.services/us-states/seals/south-dakota-large.png","https://cdn.civil.services/us-states/maps/south-dakota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/south-dakota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/south-dakota.jpg",, "Tennessee","tennessee","TN","Volunteer State","https://www.tn.gov","1796-06-01",16,"Nashville","http://www.nashville.gov",6495978,17,"http://www.capitol.tn.gov/about/docs/TN-Constitution.pdf","https://cdn.civil.services/us-states/flags/tennessee-large.png","https://cdn.civil.services/us-states/seals/tennessee-large.png","https://cdn.civil.services/us-states/maps/tennessee-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/tennessee.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/tennessee.jpg","https://twitter.com/TNVacation","https://www.facebook.com/tnvacation" "Texas","texas","TX","Lone Star State","https://www.texas.gov","1845-12-29",28,"Austin","http://www.austintexas.gov",26448193,2,"http://www.constitution.legis.state.tx.us","https://cdn.civil.services/us-states/flags/texas-large.png","https://cdn.civil.services/us-states/seals/texas-large.png","https://cdn.civil.services/us-states/maps/texas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/texas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/texas.jpg","https://twitter.com/texasgov","http://www.facebook.com/Texas.gov" "Utah","utah","UT","The Beehive State","https://utah.gov","1896-01-04",45,"Salt Lake City","http://www.slcgov.com",2900872,33,"http://le.utah.gov/UtahCode/chapter.jsp?code=Constitution","https://cdn.civil.services/us-states/flags/utah-large.png","https://cdn.civil.services/us-states/seals/utah-large.png","https://cdn.civil.services/us-states/maps/utah-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/utah.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/utah.jpg","https://twitter.com/UtahGov","https://www.facebook.com/utahgov" "Vermont","vermont","VT","Green Mountain State","http://vermont.gov","1791-03-04",14,"Montpelier","http://www.montpelier-vt.org",626630,49,"http://www.leg.state.vt.us/statutes/const2.htm","https://cdn.civil.services/us-states/flags/vermont-large.png","https://cdn.civil.services/us-states/seals/vermont-large.png","https://cdn.civil.services/us-states/maps/vermont-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/vermont.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/vermont.jpg","https://twitter.com/vermontgov","https://www.facebook.com/MyVermont" "Virginia","virginia","VA","Old Dominion State","https://www.virginia.gov","1788-06-25",10,"Richmond","http://www.richmondgov.com",8260405,12,"http://hodcap.state.va.us/publications/Constitution-01-13.pdf","https://cdn.civil.services/us-states/flags/virginia-large.png","https://cdn.civil.services/us-states/seals/virginia-large.png","https://cdn.civil.services/us-states/maps/virginia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/virginia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/virginia.jpg",, "Washington","washington","WA","The Evergreen State","http://www.wa.gov","1889-11-11",42,"Olympia","http://www.ci.olympia.wa.us",6971406,13,"http://www.leg.wa.gov/lawsandagencyrules/pages/constitution.aspx","https://cdn.civil.services/us-states/flags/washington-large.png","https://cdn.civil.services/us-states/seals/washington-large.png","https://cdn.civil.services/us-states/maps/washington-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/washington.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/washington.jpg","https://twitter.com/wagov","" "West Virginia","west-virginia","WV","Mountain State","http://www.wv.gov","1863-06-20",35,"Charleston","http://www.cityofcharleston.org",1854304,38,"http://www.legis.state.wv.us/WVCODE/WV_CON.cfm","https://cdn.civil.services/us-states/flags/west-virginia-large.png","https://cdn.civil.services/us-states/seals/west-virginia-large.png","https://cdn.civil.services/us-states/maps/west-virginia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/west-virginia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/west-virginia.jpg","https://twitter.com/wvgov","https://www.facebook.com/wvgov" "Wisconsin","wisconsin","WI","Badger State","https://www.wisconsin.gov","1848-05-29",30,"Madison","http://www.ci.madison.wi.us",5742713,20,"http://www.legis.state.wi.us/rsb/2wiscon.html","https://cdn.civil.services/us-states/flags/wisconsin-large.png","https://cdn.civil.services/us-states/seals/wisconsin-large.png","https://cdn.civil.services/us-states/maps/wisconsin-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/wisconsin.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/wisconsin.jpg",, "Wyoming","wyoming","WY","Equality State","http://www.wyo.gov","1890-07-10",44,"Cheyenne","http://www.cheyennecity.org",582658,50,"http://legisweb.state.wy.us/statutes/constitution.aspx?file=titles/97Title97.htm","https://cdn.civil.services/us-states/flags/wyoming-large.png","https://cdn.civil.services/us-states/seals/wyoming-large.png","https://cdn.civil.services/us-states/maps/wyoming-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/wyoming.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/wyoming.jpg",,intake-0.6.5/intake/catalog/tests/catalog.yml000066400000000000000000000013321416666122400211700ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source sources: use_example1: description: example1 source plugin driver: example1 args: {} allowed_list_absolute: description: pick one list out of a few driver: example1 args: arg1: "{{up}}" parameters: mylist: description: "" type: list default: [] allowed: - [] - ["one"] - ["one", "two"] allowed_list_multi: description: pick multiple values from an allowed list driver: example1 args: args1: "{{up}}" parameters: mylist: description: "" type: list default: [] allowed: ["one", "two", "three"] intake-0.6.5/intake/catalog/tests/catalog1.yml000066400000000000000000000037211416666122400212550ustar00rootroot00000000000000name: name_in_cat metadata: test: true plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} nested: description: around again driver: yaml_file_cat args: path: '{{ CATALOG_DIR }}/catalog1.yml' entry1: description: entry1 full metadata: foo: 'bar' bar: [1, 2, 3] driver: csv # Default direct_access is "forbid" by default args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' entry1_part: description: entry1 part parameters: # User defined parameters part: description: part of filename type: str default: "1" allowed: ["1", "2"] metadata: foo: 'baz' bar: [2, 4, 6] driver: csv direct_access: "allow" args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' remote_env: description: env gets interpreted in server driver: intake.conftest.TestSource args: urlpath: 'path-{{intake_test}}' parameters: intake_test: description: none type: str default: 'env(INTAKE_TEST)' local_env: description: env gets interpreted in client driver: csv args: urlpath: 'path-{{intake_test}}' parameters: intake_test: description: none type: str default: 'client_env(INTAKE_TEST)' text: description: textfiles in this dir driver: textfiles args: urlpath: "{{ CATALOG_DIR }}/*.yml" arr: description: small array driver: numpy args: path: "{{ CATALOG_DIR }}/small.npy" chunks: 5 datetime: description: datetime parameters driver: intake.conftest.TestSource args: urlpath: "{{time}}" parameters: time: description: some time type: datetime intake-0.6.5/intake/catalog/tests/catalog_alias.yml000066400000000000000000000024771416666122400223540ustar00rootroot00000000000000sources: input_data: description: a local data file driver: csv args: urlpath: '{{ CATALOG_DIR }}cache_data/states.csv' arr_cache: description: small array driver: numpy args: path: "{{ CATALOG_DIR }}/small.npy" chunks: 5 alias0: driver: intake.source.derived.AliasSource args: target: input_data barebones: driver: intake.source.derived.GenericTransform args: targets: - input_data transform: builtins.len transform_kwargs: {} alias1: driver: alias args: target: "{{choice}}" mapping: first: input_data second: arr_cache parameters: choice: description: which to alias type: str default: first allowed: ["first", "second"] derive_cols: driver: intake.source.derived.Columns args: targets: - input_data columns: ["state", "slug"] derive_cols_func: driver: intake.source.derived.DataFrameTransform args: targets: - input_data transform: "intake.source.tests.test_derived._pick_columns" transform_kwargs: columns: ["state", "slug"] other_cat: driver: intake.source.derived.Columns args: targets: - "{{CATALOG_DIR}}/catalog1.yml:entry1" columns: ["name", "score"] intake-0.6.5/intake/catalog/tests/catalog_caching.yml000066400000000000000000000052731416666122400226540ustar00rootroot00000000000000metadata: test: true plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example2_source sources: test_cache: description: cache a csv file from the local filesystem driver: csv cache: - argkey: urlpath regex: '{{ CATALOG_DIR }}/cache_data' type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' test_cache_new: description: cache a csv file from the local filesystem driver: csv args: urlpath: 'filecache://{{ CATALOG_DIR }}/cache_data/states.csv' storage_options: target_protocol: 'file' cache_storage: "{{env(TEST_CACHE_DIR)}}" test_multiple_cache: description: testing what happens when there are multiple cache specs driver: csv cache: - argkey: urlpath regex: '{{ CATALOG_DIR }}/cache_data' type: file - argkey: urlpath regex: '{{ CATALOG_DIR }}' type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' test_list_cache: description: testing what happens when there are multiple cache specs driver: csv cache: - argkey: urlpath regex: '{{ CATALOG_DIR }}cache_data' type: file args: urlpath: ['{{ CATALOG_DIR }}cache_data/states.csv', '{{ CATALOG_DIR }}cache_data/states.csv'] test_bad_type_cache_spec: description: cache a csv file from the local filesystem driver: csv cache: - argkey: urlpath regex: '{{ CATALOG_DIR }}/cache_data' type: noidea args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' text_cache: description: textfiles in this dir driver: textfiles cache: - argkey: urlpath regex: '{{ CATALOG_DIR }}' type: file args: urlpath: "{{ CATALOG_DIR }}/*.yml" arr_cache: description: small array driver: numpy cache: - argkey: path regex: '{{ CATALOG_DIR }}' type: file args: path: "{{ CATALOG_DIR }}/small.npy" chunks: 5 test_no_regex: description: cache a csv file from the local filesystem driver: csv cache: - argkey: urlpath type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' test_regex_no_match: description: regex does not match urlpath driver: csv cache: - argkey: urlpath regex: 'xxx' type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' test_regex_partial_match: description: regex matches some part of the url driver: csv cache: - argkey: urlpath regex: '_data' type: file args: urlpath: '{{ CATALOG_DIR }}/cache_data/states.csv' intake-0.6.5/intake/catalog/tests/catalog_dup_parameters.yml000066400000000000000000000010021416666122400242550ustar00rootroot00000000000000sources: entry1_part: description: entry1 part parameters: part: description: a type: str part: description: b type: int driver: csv args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' entry2_part: description: entry2 part parameters: part: description: a type: str driver: csv args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry2_{{ part }}.csv' intake-0.6.5/intake/catalog/tests/catalog_dup_sources.yml000066400000000000000000000007151416666122400236070ustar00rootroot00000000000000sources: entry1_part: description: entry1 part parameters: part: description: a type: str driver: csv args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' entry1_part: description: entry1 part parameters: part: description: a type: str driver: csv args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' intake-0.6.5/intake/catalog/tests/catalog_hierarchy.yml000066400000000000000000000011011416666122400232200ustar00rootroot00000000000000sources: a.b.c: description: abc driver: csv args: urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' a.b.d: description: abc driver: csv args: urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' c: description: abc driver: csv args: urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' a.c: description: abc driver: csv parameters: part: description: part of filename type: str default: "1" allowed: ["1", "2"] driver: csv args: urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' intake-0.6.5/intake/catalog/tests/catalog_named.yml000066400000000000000000000004211416666122400223320ustar00rootroot00000000000000name: name_in_spec description: This is a catalog with a description in the yaml metadata: some: thing plugins: source: - module: intake.catalog.tests.example1_source sources: use_example1: description: example1 source plugin driver: example1 args: {}intake-0.6.5/intake/catalog/tests/catalog_non_dict.yml000066400000000000000000000000141416666122400230410ustar00rootroot00000000000000- 1 - 2 - 3 intake-0.6.5/intake/catalog/tests/catalog_search/000077500000000000000000000000001416666122400217735ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/catalog_search/example_packages/000077500000000000000000000000001416666122400252645ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/catalog_search/example_packages/ep-0.1.dist-info/000077500000000000000000000000001416666122400300575ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/catalog_search/example_packages/ep-0.1.dist-info/entry_points.txt000066400000000000000000000000471416666122400333560ustar00rootroot00000000000000[intake.catalogs] ep1 = ep:TestCatalog intake-0.6.5/intake/catalog/tests/catalog_search/example_packages/ep/000077500000000000000000000000001416666122400256705ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/catalog_search/example_packages/ep/__init__.py000066400000000000000000000000331416666122400277750ustar00rootroot00000000000000class TestCatalog: ... intake-0.6.5/intake/catalog/tests/catalog_search/yaml.yml000066400000000000000000000002501416666122400234550ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source sources: use_example1: description: example1 source plugin driver: example1 args: {}intake-0.6.5/intake/catalog/tests/catalog_union_1.yml000066400000000000000000000002511416666122400226170ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source sources: use_example1: description: example1 source plugin driver: example1 args: {} intake-0.6.5/intake/catalog/tests/catalog_union_2.yml000066400000000000000000000014031416666122400226200ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example2_source sources: entry1: description: entry1 full metadata: foo: 'bar' bar: [1, 2, 3] driver: csv # Default direct_access is "forbid" by default args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' entry1_part: description: entry1 part parameters: # User defined parameters part: description: part of filename type: str default: "1" allowed: ["1", "2"] metadata: foo: 'baz' bar: [2, 4, 6] driver: csv direct_access: "allow" args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' intake-0.6.5/intake/catalog/tests/conftest.py000066400000000000000000000003001416666122400212240ustar00rootroot00000000000000import os.path import pytest from intake import open_catalog @pytest.fixture def catalog1(): path = os.path.dirname(__file__) return open_catalog(os.path.join(path, 'catalog1.yml')) intake-0.6.5/intake/catalog/tests/data_source_missing.yml000066400000000000000000000000261416666122400235770ustar00rootroot00000000000000plugins: source: [] intake-0.6.5/intake/catalog/tests/data_source_name_non_string.yml000066400000000000000000000000221416666122400253020ustar00rootroot00000000000000sources: 1: foo intake-0.6.5/intake/catalog/tests/data_source_non_dict.yml000066400000000000000000000000151416666122400237210ustar00rootroot00000000000000sources: foo intake-0.6.5/intake/catalog/tests/data_source_value_non_dict.yml000066400000000000000000000000221416666122400251130ustar00rootroot00000000000000sources: foo: 1 intake-0.6.5/intake/catalog/tests/dot-nest.yaml000066400000000000000000000011331416666122400214530ustar00rootroot00000000000000sources: self: description: this cat driver: yaml_file_cat args: path: "{{CATALOG_DIR}}/dot-nest.yaml" selfdot.dot: description: this cat driver: yaml_file_cat args: path: "{{CATALOG_DIR}}/dot-nest.yaml" self.dot: description: this cat driver: yaml_file_cat args: path: "{{CATALOG_DIR}}/dot-nest.yaml" leaf: description: leaf driver: csv args: urlpath: "" leafdot.dot: description: leaf-dot driver: csv args: urlpath: "" leaf.dot: description: leaf-dot driver: csv args: urlpath: "" intake-0.6.5/intake/catalog/tests/entry1_1.csv000066400000000000000000000001031416666122400212050ustar00rootroot00000000000000name,score,rank Alice1,100.5,1 Bob1,50.3,2 Charlie1,25,3 Eve1,25,3 intake-0.6.5/intake/catalog/tests/entry1_2.csv000066400000000000000000000001031416666122400212060ustar00rootroot00000000000000name,score,rank Alice2,100.5,1 Bob2,50.3,2 Charlie2,25,3 Eve2,25,3 intake-0.6.5/intake/catalog/tests/example1_source.py000066400000000000000000000011441416666122400225020ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from intake.source.base import DataSource class ExampleSource(DataSource): name = 'example1' version = '0.1' container = 'dataframe' partition_access = True def __init__(self, **kwargs): self.kwargs = kwargs super(ExampleSource, self).__init__() intake-0.6.5/intake/catalog/tests/example_plugin_dir/000077500000000000000000000000001416666122400227035ustar00rootroot00000000000000intake-0.6.5/intake/catalog/tests/example_plugin_dir/example2_source.py000066400000000000000000000010651416666122400263540ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from intake.source.base import DataSource class Ex2Plugin(DataSource): name = 'example2' version = '0.1' container = 'dataframe' partition_access = True def __init__(self): super(Ex2Plugin, self).__init__() intake-0.6.5/intake/catalog/tests/multi_plugins.yaml000066400000000000000000000030411416666122400226110ustar00rootroot00000000000000sources: tables0: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "short form" driver: - csv metadata: {} tables1: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "long form" driver: - intake.source.csv.CSVSource metadata: {} tables2: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "same plugin twice" driver: - csv - intake.source.csv.CSVSource metadata: {} tables3: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "user's choice with extra param" driver: myplug: class: intake.source.csv.CSVSource myplug2: class: intake.source.csv.CSVSource args: csv_kwargs: true metadata: {} tables4: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "neither plugins exist" driver: myplug: class: doesnotexist myplug2: class: also.none.Class metadata: {} tables5: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "only second plugin exists" driver: myplug: class: doesnotexist myplug2: class: csv metadata: {} tables6: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "no valid plugin in list" driver: myplug: class: doesnotexist metadata: {} tables7: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "no valid plugin" driver: doesnotexist metadata: {} intake-0.6.5/intake/catalog/tests/multi_plugins2.yaml000066400000000000000000000003301416666122400226710ustar00rootroot00000000000000sources: tables6: args: urlpath: "{{ CATALOG_DIR }}/files*" description: "incompatible plugins" driver: myplug: class: csv myplug2: class: numpy metadata: {} intake-0.6.5/intake/catalog/tests/obsolete_data_source_list.yml000066400000000000000000000000451416666122400247760ustar00rootroot00000000000000sources: - name: a driver: csv intake-0.6.5/intake/catalog/tests/obsolete_params_list.yml000066400000000000000000000000761416666122400237740ustar00rootroot00000000000000sources: a: driver: csv parameters: - name: b intake-0.6.5/intake/catalog/tests/params_missing_required.yml000066400000000000000000000000411416666122400244660ustar00rootroot00000000000000sources: a: description: A intake-0.6.5/intake/catalog/tests/params_name_non_string.yml000066400000000000000000000000721416666122400243010ustar00rootroot00000000000000sources: a: driver: csv parameters: 1: {} intake-0.6.5/intake/catalog/tests/params_non_dict.yml000066400000000000000000000000601416666122400227130ustar00rootroot00000000000000sources: a: driver: csv parameters: b intake-0.6.5/intake/catalog/tests/params_value_bad_choice.yml000066400000000000000000000001431416666122400243540ustar00rootroot00000000000000sources: a: driver: csv parameters: b: description: B type: string intake-0.6.5/intake/catalog/tests/params_value_bad_type.yml000066400000000000000000000001401416666122400241000ustar00rootroot00000000000000sources: a: driver: csv parameters: b: description: 1 type: str intake-0.6.5/intake/catalog/tests/params_value_non_dict.yml000066400000000000000000000000711416666122400241110ustar00rootroot00000000000000sources: a: driver: csv parameters: b: 1 intake-0.6.5/intake/catalog/tests/plugins_non_dict.yml000066400000000000000000000000271416666122400231140ustar00rootroot00000000000000plugins: 0 sources: {} intake-0.6.5/intake/catalog/tests/plugins_source_missing.yml000066400000000000000000000000421416666122400243450ustar00rootroot00000000000000plugins: s0urce: [] sources: {} intake-0.6.5/intake/catalog/tests/plugins_source_missing_key.yml000066400000000000000000000000651416666122400252220ustar00rootroot00000000000000plugins: source: - directory: /tmp sources: {} intake-0.6.5/intake/catalog/tests/plugins_source_non_dict.yml000066400000000000000000000000541416666122400244740ustar00rootroot00000000000000plugins: source: - module sources: {} intake-0.6.5/intake/catalog/tests/plugins_source_non_list.yml000066400000000000000000000000461416666122400245250ustar00rootroot00000000000000plugins: source: module sources: {} intake-0.6.5/intake/catalog/tests/plugins_source_non_string.yml000066400000000000000000000000571416666122400250620ustar00rootroot00000000000000plugins: source: - module: 0 sources: {} intake-0.6.5/intake/catalog/tests/small.npy000066400000000000000000000016401416666122400206750ustar00rootroot00000000000000NUMPYv{'descr': '?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcintake-0.6.5/intake/catalog/tests/test_alias.py000066400000000000000000000017651416666122400215470ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import intake import os here = os.path.abspath(os.path.dirname(__file__)) fn = os.path.join(here, 'catalog_alias.yml') def test_simple(): cat = intake.open_catalog(fn) s = cat.alias0() assert s.container == 'other' out = str(s.discover()) assert s.container == 'dataframe' assert "state" in out def test_mapping(): cat = intake.open_catalog(fn) s = cat.alias1() assert s.container == 'other' out = str(s.discover()) assert s.container == 'dataframe' assert "state" in out s = cat.alias1(choice='second') assert s.container == 'other' out = str(s.discover()) assert s.container == 'ndarray' assert "int64" in out intake-0.6.5/intake/catalog/tests/test_auth_integration.py000066400000000000000000000040531416666122400240130ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import os.path import shutil import tempfile import time import pytest from intake import open_catalog from intake.auth.secret import SecretClientAuth from intake.auth.base import AuthenticationFailure TMP_DIR = tempfile.mkdtemp() CONF_DIR = os.path.join(TMP_DIR, 'conf') os.mkdir(CONF_DIR) TEST_CATALOG_PATH = [TMP_DIR] YAML_FILENAME = 'intake_test_catalog.yml' # Create server configuration using shared-secret Auth TEST_SERVER_CONF = os.path.join(CONF_DIR, 'config.yaml') conf = ''' auth: cls: intake.auth.secret.SecretAuth kwargs: secret: test_secret ''' with open(TEST_SERVER_CONF, 'w') as f: f.write(conf) @pytest.fixture def intake_server_with_auth(intake_server): fullname = os.path.join(TMP_DIR, YAML_FILENAME) try: os.makedirs(os.path.join(TMP_DIR, 'data')) except: pass with open(fullname, 'w') as f: f.write(''' sources: example: description: example1 source plugin driver: csv args: urlpath: "{{ CATALOG_DIR }}/data/example.csv" ''') csv_name = os.path.join(TMP_DIR, 'data', 'example.csv') with open(csv_name, 'w') as f: f.write('a,b,c\n1,2,3\n4,5,6') time.sleep(2) yield intake_server try: shutil.rmtree(TMP_DIR) except: pass def test_secret_auth(intake_server_with_auth): auth = SecretClientAuth(secret='test_secret') catalog = open_catalog(intake_server_with_auth, auth=auth) entries = list(catalog) assert entries == ['example'] catalog.example.read() def test_secret_auth_fail(intake_server_with_auth): auth = SecretClientAuth(secret='test_wrong_secret') with pytest.raises(AuthenticationFailure): list(open_catalog(intake_server_with_auth, auth=auth)) intake-0.6.5/intake/catalog/tests/test_caching_integration.py000066400000000000000000000163701416666122400244530ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest import shutil import string import time import intake from intake.config import conf from intake.utils import make_path_posix @pytest.fixture def catalog_cache(): path = os.path.dirname(__file__) return intake.open_catalog(os.path.join(path, 'catalog_caching.yml')) def test_load_csv(catalog_cache, tempdir): os.environ['TEST_CACHE_DIR'] = str(tempdir) catalog_cache['test_cache_new'].read() files = os.listdir(tempdir) assert 'cache' in files assert len(files) == 2 cache_id = [f for f in files if f != 'cache'][0] assert all(c in string.hexdigits for c in cache_id) def test_list_of_files(catalog_cache): pd = pytest.importorskip('pandas') s1 = catalog_cache['test_cache'] s2 = catalog_cache['test_list_cache'] assert s2.read().equals(pd.concat([s1.read(), s1.read()])) def test_bad_type_cache(catalog_cache): with pytest.raises(IndexError): catalog_cache['test_bad_type_cache_spec'].cache def test_load_textfile(catalog_cache): cat = catalog_cache['text_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert cache._cache_dir in cache_path assert os.path.isfile(cache_path) cache_id = os.path.basename(os.path.dirname(cache_path)) # Checking for md5 hash assert all(c in string.hexdigits for c in cache_id) cache.clear_all() def test_load_arr(catalog_cache): cat = catalog_cache['arr_cache'] cache = cat.cache[0] cache_paths = cache.load(cat.path, output=False) cache_path = cache_paths[-1] assert cache._cache_dir in cache_path assert os.path.isfile(cache_path) cache_id = os.path.basename(os.path.dirname(cache_path)) # Checking for md5 hash assert all(c in string.hexdigits for c in cache_id) cache.clear_all() @pytest.mark.parametrize('section', ['test_no_regex', 'test_regex_no_match', 'test_regex_partial_match']) def test_regex(catalog_cache, section): cat = catalog_cache[section] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert cache_path.startswith(cache._cache_dir) assert os.path.isfile(cache_path) cache.clear_all() def test_get_metadata(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) metadata = cache.get_metadata(cat._urlpath) assert isinstance(metadata, list) for d in metadata: assert d['cache_path'] in cache_paths assert 'created' in d.keys() assert 'original_path' in d.keys() cache.clear_all() def test_clear_cache(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache.clear_cache(cat._urlpath) assert cat._urlpath not in cache._metadata.keys() for cache_path in cache_paths: assert os.path.basename(cache_path) not in os.listdir(cache._cache_dir) def test_clear_cache_bad_metadata(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) subdir = os.path.dirname(cache_paths[0]) shutil.rmtree(subdir) cache.clear_cache(cat._urlpath) assert cat._urlpath not in cache._metadata.keys() for cache_path in cache_paths: assert os.path.basename(cache_path) not in os.listdir(cache._cache_dir) def test_clear_all(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache.clear_all() for cache_path in cache_paths: assert not os.path.exists(cache_path) cache.clear_all() def test_second_load(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert os.path.isfile(cache_path) t1 = os.path.getmtime(cache_path) cache.load(cat._urlpath, output=False) assert os.path.isfile(cache_path) t2 = os.path.getmtime(cache_path) assert t1 == t2 cache.clear_all() def test_second_load_timestamp(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] time1 = os.path.getmtime(cache_path) cache.clear_cache(cat._urlpath) assert not os.path.isfile(cache_path) time.sleep(0.5) cache.load(cat._urlpath, output=False) assert os.path.isfile(cache_path) time2 = os.path.getmtime(cache_path) assert time1 < time2 cache.clear_all() def test_second_load_refresh(catalog_cache): cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] time1 = os.path.getmtime(cache_path) assert os.path.isfile(cache_path) cache.load(cat._urlpath, output=False) assert os.path.isfile(cache_path) time2 = os.path.getmtime(cache_path) assert time1 == time2 cache.clear_all() def test_multiple_cache(catalog_cache): cat = catalog_cache['test_multiple_cache'] assert len(cat.cache) == 2 for cache in cat.cache: cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert cache._cache_dir in cache_path assert os.path.isfile(cache_path) cache.clear_all() def test_disable_caching(catalog_cache): conf['cache_disabled'] = True cat = catalog_cache['test_cache'] cache = cat.cache[0] cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert cache_path == cat._urlpath conf['cache_disabled'] = False cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] assert cache._cache_dir in cache_path assert os.path.isfile(cache_path) cache_id = os.path.basename(os.path.dirname(cache_path)) # Checking for md5 hash assert all(c in string.hexdigits for c in cache_id) cache.clear_all() def test_ds_set_cache_dir(catalog_cache): cat = catalog_cache['test_cache']() defaults = cat.cache_dirs new_cache_dir = os.path.join(os.getcwd(), 'test_cache_dir') cat.set_cache_dir(new_cache_dir) cache = cat.cache[0] assert make_path_posix(cache._cache_dir) == make_path_posix(new_cache_dir) cache_paths = cache.load(cat._urlpath, output=False) cache_path = cache_paths[-1] expected_cache_dir = make_path_posix(new_cache_dir) assert expected_cache_dir in cache_path assert defaults[0] not in cache_path assert os.path.isfile(cache_path) cache_id = os.path.basename(os.path.dirname(cache_path)) # Checking for md5 hash assert all(c in string.hexdigits for c in cache_id) cache.clear_all() shutil.rmtree(expected_cache_dir) intake-0.6.5/intake/catalog/tests/test_core.py000066400000000000000000000004621416666122400213770ustar00rootroot00000000000000import pytest from intake.catalog.base import Catalog def test_no_entry(): cat = Catalog() cat2 = cat.configure_new() assert isinstance(cat2, Catalog) assert cat.auth is None assert cat2.auth is None def test_regression(): with pytest.raises(ValueError): Catalog("URI") intake-0.6.5/intake/catalog/tests/test_default.py000066400000000000000000000013221416666122400220670ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from pathlib import Path import sys from intake.catalog import default from intake.catalog.base import Catalog def test_which(): p = default.which('python') assert Path(p).resolve() == Path(sys.executable).resolve() def test_load(): cat = default.load_user_catalog() assert isinstance(cat, Catalog) cat = default.load_global_catalog() assert isinstance(cat, Catalog) intake-0.6.5/intake/catalog/tests/test_discovery.py000066400000000000000000000021631416666122400224560ustar00rootroot00000000000000import copy import glob import os import pytest import sys from ..local import YAMLFilesCatalog, MergedCatalog, EntrypointsCatalog def test_catalog_discovery(): basedir = os.path.dirname(__file__) yaml_glob = os.path.join(basedir, 'catalog_search', '*.yml') example_packages = os.path.join(basedir, 'catalog_search', 'example_packages') test_catalog = MergedCatalog([EntrypointsCatalog(paths=[example_packages]), YAMLFilesCatalog(path=[yaml_glob])]) assert 'use_example1' in test_catalog assert 'ep1' in test_catalog def test_deferred_import(): "See https://github.com/intake/intake/pull/541" # We are going to mess with sys.modules here, so to be safe let's put it # back the way it was at the end. import intake.catalog intake.catalog.builtin = None mods = sys.modules.copy() try: sys.modules.pop("intake") sys.modules.pop("intake.catalog") intake.catalog.__dict__.pop('builtin') assert 'builtin' not in intake.catalog.__dict__ assert intake.cat is not None finally: sys.modules.update(mods) intake-0.6.5/intake/catalog/tests/test_gui.py000066400000000000000000000030411416666122400212270ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest import os def panel_importable(): try: import panel as pn return True except: return False EXPECTED_ERROR_TEXT = "Please install panel to use the GUI" @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_cat_no_panel_does_not_raise_errors(catalog1): assert catalog1.name == 'name_in_cat' @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_cat_no_panel_display_gui(catalog1): with pytest.raises(RuntimeError, match=EXPECTED_ERROR_TEXT): repr(catalog1.gui) def test_cat_gui(catalog1): pytest.importorskip('panel') assert repr(catalog1.gui).startswith('Column') @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_entry_no_panel_does_not_raise_errors(catalog1): assert catalog1.entry1.name == 'entry1' @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_entry_no_panel_display_gui(catalog1): with pytest.raises(RuntimeError, match=EXPECTED_ERROR_TEXT): repr(catalog1.entry1.gui) def test_entry_gui(catalog1): pytest.importorskip('panel') assert repr(catalog1.entry1.gui).startswith('Column') intake-0.6.5/intake/catalog/tests/test_local.py000066400000000000000000000625771416666122400215600ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import datetime import os.path import posixpath import shutil import tempfile import time import pandas import pytest from intake import open_catalog from intake.catalog import exceptions, local from intake.catalog.local import LocalCatalogEntry, UserParameter, get_dir from intake.tests.test_utils import copy_test_file from intake.utils import make_path_posix from .util import assert_items_equal def abspath(filename): return make_path_posix( os.path.join(os.path.dirname(__file__), filename)) def test_local_catalog(catalog1): assert_items_equal(list(catalog1), ['use_example1', 'nested', 'entry1', 'entry1_part', 'remote_env', 'local_env', 'text', 'arr', 'datetime']) assert len(catalog1) == 9 assert catalog1['entry1'].describe() == { 'name': 'entry1', 'container': 'dataframe', 'direct_access': 'forbid', 'user_parameters': [], 'description': 'entry1 full', 'args': {'urlpath': '{{ CATALOG_DIR }}/entry1_*.csv'}, 'metadata': {'bar': [1, 2, 3], 'foo': 'bar'}, 'plugin': ['csv'], 'driver': ['csv'] } assert catalog1['entry1_part'].describe() == { 'name': 'entry1_part', 'container': 'dataframe', 'user_parameters': [ { 'name': 'part', 'description': 'part of filename', 'default': '1', 'type': 'str', 'allowed': ['1', '2'], } ], 'description': 'entry1 part', 'direct_access': 'allow', 'args': {'urlpath': '{{ CATALOG_DIR }}/entry1_{{ part }}.csv'}, 'metadata': {'foo': 'baz', 'bar': [2, 4, 6]}, 'plugin': ['csv'], 'driver': ['csv'] } assert catalog1['entry1'].container == 'dataframe' md = catalog1['entry1'].metadata md.pop('catalog_dir') assert md['foo'] == 'bar' assert md['bar'] == [1, 2, 3] # Use default parameters assert catalog1['entry1_part'].container == 'dataframe' # Specify parameters assert catalog1['entry1_part'].configure_new(part='2').container == 'dataframe' def test_get_items(catalog1): for key, entry in catalog1.items(): assert catalog1[key].describe() == entry.describe() def test_nested(catalog1): assert 'nested' in catalog1 assert 'entry1' in catalog1.nested.nested() assert catalog1.entry1.read().equals(catalog1.nested.nested.entry1.read()) assert 'nested.nested' not in catalog1.walk(depth=1) assert 'nested.nested' in catalog1.walk(depth=2) assert catalog1.nested.cat == catalog1 assert catalog1.nested.nested.nested.cat.cat.cat is catalog1 def test_nested_gets_name_from_super(catalog1): assert catalog1.name == 'name_in_cat' assert 'nested' in catalog1 nested = catalog1.nested assert nested.name == 'nested' assert nested().name == 'nested' def test_hash(catalog1): assert catalog1.nested() == catalog1.nested.nested() def test_getitem(catalog1): assert list(catalog1) == list(catalog1['nested']()) assert list(catalog1) == list(catalog1['nested.nested']()) assert list(catalog1) == list(catalog1['nested', 'nested']()) def test_source_plugin_config(catalog1): from intake import registry assert 'example1' in registry assert 'example2' in registry def test_metadata(catalog1): assert hasattr(catalog1, 'metadata') assert catalog1.metadata['test'] is True def test_use_source_plugin_from_config(catalog1): catalog1['use_example1'] def test_get_dir(): assert get_dir('file:///path/catalog.yml') == 'file:///path' assert get_dir('https://example.com/catalog.yml') == 'https://example.com' path = 'example/catalog.yml' out = get_dir(path) assert os.path.isabs(out) assert out.endswith('/example/') path = '/example/catalog.yml' out = get_dir(path) # it's ok if the first two chars indicate drive for win (C:) assert '/example/' in [out, out[2:]] path = 'example' out = get_dir(path) assert os.path.isabs(out) assert not out.endswith('/example') assert out.endswith('/') def test_entry_dir_function(catalog1): assert 'nested' in dir(catalog1.nested) @pytest.mark.parametrize("dtype,expected", [ ("bool", False), ("datetime", pandas.Timestamp(1970, 1, 1, 0, 0, 0)), ("float", 0.0), ("int", 0), ("list", []), ("str", ""), ("unicode", u""), ]) def test_user_parameter_default_value(dtype, expected): p = local.UserParameter('a', 'a desc', dtype) assert p.validate(None) == expected def test_user_parameter_repr(): p = local.UserParameter('a', 'a desc', 'str') expected = "" assert repr(p) == str(p) == expected @pytest.mark.parametrize("dtype,given,expected", [ ("bool", "true", True), ("bool", 0, False), ("datetime", datetime.datetime(2018, 1, 1, 0, 34, 0), pandas.Timestamp(2018, 1, 1, 0, 34, 0)), ("datetime", "2018-01-01 12:34AM", pandas.Timestamp(2018, 1, 1, 0, 34, 0)), ("datetime", 1234567890000000000, pandas.Timestamp(2009, 2, 13, 23, 31, 30)), ("float", "3.14", 3.14), ("int", "1", 1), ("list", (3, 4), [3, 4]), ("str", 1, "1"), ("unicode", "foo", u"foo"), ]) def test_user_parameter_coerce_value(dtype, given, expected): p = local.UserParameter('a', 'a desc', dtype, given) assert p.validate(given) == expected @pytest.mark.parametrize("given", ["now", "today"]) def test_user_parameter_coerce_special_datetime(given): p = local.UserParameter('a', 'a desc', 'datetime', given) assert type(p.validate(given)) == pandas.Timestamp @pytest.mark.parametrize("dtype,given,expected", [ ("float", "100.0", 100.0), ("int", "20", 20), ("int", 20.0, 20), ]) def test_user_parameter_coerce_min(dtype, given, expected): p = local.UserParameter('a', 'a desc', dtype, expected, min=given) assert p.min == expected @pytest.mark.parametrize("dtype,given,expected", [ ("float", "100.0", 100.0), ("int", "20", 20), ("int", 20.0, 20), ]) def test_user_parameter_coerce_max(dtype, given, expected): p = local.UserParameter('a', 'a desc', dtype, expected, max=given) assert p.max == expected @pytest.mark.parametrize("dtype,given,expected", [ ("float", [50, "100.0", 150.0], [50.0, 100.0, 150.0]), ("int", [1, "2", 3.0], [1, 2, 3]), ]) def test_user_parameter_coerce_allowed(dtype, given, expected): p = local.UserParameter('a', 'a desc', dtype, expected[0], allowed=given) assert p.allowed == expected def test_user_parameter_validation_range(): p = local.UserParameter('a', 'a desc', 'int', 1, min=0, max=3) with pytest.raises(ValueError) as except_info: p.validate(-1) assert 'less than' in str(except_info.value) assert p.validate(0) == 0 assert p.validate(1) == 1 assert p.validate(2) == 2 assert p.validate(3) == 3 with pytest.raises(ValueError) as except_info: p.validate(4) assert 'greater than' in str(except_info.value) def test_user_parameter_validation_allowed(): p = local.UserParameter('a', 'a desc', 'int', 1, allowed=[1, 2]) with pytest.raises(ValueError) as except_info: p.validate(0) assert 'allowed' in str(except_info.value) assert p.validate(1) == 1 assert p.validate(2) == 2 with pytest.raises(ValueError) as except_info: p.validate(3) assert 'allowed' in str(except_info.value) def test_user_pars_list(): # first case: allowed are all lists, must choose exactly one of them # NB: order must match p = local.UserParameter("", "", "list", allowed=[[], ["one"], ["one", "two"]]) with pytest.raises(TypeError): p.validate(0) with pytest.raises((TypeError, ValueError)): # unfortunately, a string does coerce to a list p.validate("one") with pytest.raises(ValueError, match="allowed"): p.validate(["two"]) with pytest.raises(ValueError, match="allowed"): p.validate(["two", "one"]) p.validate(["one"]) p.validate(["one", "two"]) def test_user_pars_mlist(): # second case: allowed are not lists, can choose any number of them # NB: repeats are allowed p = local.UserParameter("", "", "mlist", allowed=["one", "two", "three"]) with pytest.raises(TypeError): p.validate(0) with pytest.raises((TypeError, ValueError)): # unfortunately, a string does coerce to a list p.validate("one") with pytest.raises(ValueError, match="allowed"): p.validate(["two" ,"other"]) p.validate(["two"]) p.validate(["two", "two"]) p.validate(["two", "one"]) p.validate([]) @pytest.mark.parametrize("filename", [ "catalog_non_dict", "data_source_missing", "data_source_name_non_string", "data_source_non_dict", "data_source_value_non_dict", "params_missing_required", "params_name_non_string", "params_non_dict", "params_value_bad_choice", "params_value_bad_type", "params_value_non_dict", "plugins_non_dict", "plugins_source_missing", "plugins_source_missing_key", "plugins_source_non_dict", "plugins_source_non_list", ]) def test_parser_validation_error(filename): with pytest.raises(exceptions.ValidationError): list(open_catalog(abspath(filename + ".yml"))) @pytest.mark.parametrize("filename", [ "obsolete_data_source_list", "obsolete_params_list", ]) def test_parser_obsolete_error(filename): with pytest.raises(exceptions.ObsoleteError): open_catalog(abspath(filename + ".yml")) def test_union_catalog(): path = os.path.dirname(__file__) uri1 = os.path.join(path, 'catalog_union_1.yml') uri2 = os.path.join(path, 'catalog_union_2.yml') union_cat = open_catalog([uri1, uri2]) assert_items_equal(list(union_cat), ['entry1', 'entry1_part', 'use_example1']) expected = { 'name': 'entry1_part', 'container': 'dataframe', 'user_parameters': [ { 'name': 'part', 'description': 'part of filename', 'default': '1', 'type': 'str', 'allowed': ['1', '2'], } ], 'description': 'entry1 part', 'direct_access': 'allow' } for k in expected: assert union_cat.entry1_part.describe()[k] == expected[k] # Implied creation of data source assert union_cat.entry1.container == 'dataframe' md = union_cat.entry1.describe()['metadata'] assert md == dict(foo='bar', bar=[1, 2, 3]) # Use default parameters in explict creation of data source assert union_cat.entry1_part().container == 'dataframe' # Specify parameters in creation of data source assert union_cat.entry1_part(part='2').container == 'dataframe' def test_persist_local_cat(temp_cache): # when persisted, multiple cat become one from intake.catalog.local import YAMLFileCatalog path = os.path.dirname(__file__) uri1 = os.path.join(path, 'catalog_union_1.yml') uri2 = os.path.join(path, 'catalog_union_2.yml') s = open_catalog([uri1, uri2]) s2 = s.persist() assert isinstance(s2, YAMLFileCatalog) assert set(s) == set(s2) def test_empty_catalog(): cat = open_catalog() assert list(cat) == [] def test_nonexistent_error(): with pytest.raises(IOError): local.YAMLFileCatalog('nonexistent') def test_duplicate_data_sources(): path = os.path.dirname(__file__) uri = os.path.join(path, 'catalog_dup_sources.yml') with pytest.raises(exceptions.DuplicateKeyError): open_catalog(uri) def test_duplicate_parameters(): path = os.path.dirname(__file__) uri = os.path.join(path, 'catalog_dup_parameters.yml') with pytest.raises(exceptions.DuplicateKeyError): open_catalog(uri) @pytest.fixture def temp_catalog_file(): path = tempfile.mkdtemp() catalog_file = os.path.join(path, 'catalog.yaml') with open(catalog_file, 'w') as f: f.write(''' sources: a: driver: csv args: urlpath: /not/a/file b: driver: csv args: urlpath: /not/a/file ''') yield catalog_file shutil.rmtree(path) def test_catalog_file_removal(temp_catalog_file): cat_dir = os.path.dirname(temp_catalog_file) cat = open_catalog(cat_dir + '/*', ttl=0.1) assert set(cat) == {'a', 'b'} os.remove(temp_catalog_file) time.sleep(0.5) # wait for catalog refresh assert set(cat) == set() def test_flatten_duplicate_error(): path = tempfile.mkdtemp() f1 = os.path.join(path, 'catalog.yaml') path = tempfile.mkdtemp() f2 = os.path.join(path, 'catalog.yaml') for f in [f1, f2]: with open(f, 'w') as fo: fo.write(""" sources: a: driver: csv args: urlpath: /not/a/file """) with pytest.raises(ValueError): open_catalog([f1, f2]) def test_multi_cat_names(): fn = abspath("catalog_union*.yml") cat = open_catalog(fn) assert cat.name == fn assert fn in repr(cat) fn1 = abspath("catalog_union_1.yml") fn2 = abspath("catalog_union_2.yml") cat = open_catalog([fn1, fn2]) assert cat.name == '2 files' assert cat.description == 'Catalog generated from 2 files' cat = open_catalog([fn1, fn2], name='special_name', description='Special description') assert cat.name == 'special_name' assert cat.description == 'Special description' def test_name_of_builtin(): import intake assert intake.cat.name == 'builtin' assert intake.cat.description == 'Generated from data packages found on your intake search path' def test_cat_with_declared_name(): fn = abspath("catalog_named.yml") description = 'Description declared in the open function' cat = open_catalog(fn, name='name_in_func', description=description) assert cat.name == 'name_in_func' assert cat.description == description cat._load() # we don't get metadata until load/list/getitem assert cat.metadata.get('some') == 'thing' cat = open_catalog(fn) assert cat.name == 'name_in_spec' assert cat.description == 'This is a catalog with a description in the yaml' def test_cat_with_no_declared_name_gets_name_from_dir_if_file_named_catalog(): fn = abspath("catalog.yml") cat = open_catalog(fn, name='name_in_func', description='Description in func') assert cat.name == 'name_in_func' assert cat.description == 'Description in func' cat = open_catalog(fn) assert cat.name == 'tests' assert cat.description == None def test_default_expansions(): try: os.environ['INTAKE_INT_TEST'] = '1' par = UserParameter('', '', 'int', default='env(INTAKE_INT_TEST)') par.expand_defaults() assert par.expanded_default == 1 finally: del os.environ['INTAKE_INT_TEST'] par = UserParameter('', '', 'str', default='env(USER)') par.expand_defaults(getenv=False) assert par.expanded_default == 'env(USER)' par.expand_defaults() assert par.expanded_default == os.getenv('USER', '') par = UserParameter('', '', 'str', default='client_env(USER)') par.expand_defaults() assert par.expanded_default == 'client_env(USER)' par.expand_defaults(client=True) assert par.expanded_default == os.getenv('USER', '') par = UserParameter('', '', 'str', default='shell(echo success)') par.expand_defaults(getshell=False) assert par.expanded_default == 'shell(echo success)' par.expand_defaults() assert par.expanded_default == 'success' par = UserParameter('', '', 'str', default='client_shell(echo success)') par.expand_defaults(client=True) assert par.expanded_default == 'success' par = UserParameter('', '', 'int', default=1) par.expand_defaults() # no error from string ops def test_remote_cat(http_server): url = http_server + 'catalog1.yml' cat = open_catalog(url) assert 'entry1' in cat assert cat.entry1.describe() def test_multi_plugins(): from intake.source.csv import CSVSource fn = abspath('multi_plugins.yaml') cat = open_catalog(fn) s = cat.tables0() assert isinstance(s, CSVSource) s = cat.tables1() assert isinstance(s, CSVSource) s = cat.tables2() assert isinstance(s, CSVSource) s = cat.tables3() assert isinstance(s, CSVSource) assert s._csv_kwargs == {} s = cat.tables3(plugin='myplug') assert isinstance(s, CSVSource) assert s._csv_kwargs == {} s = cat.tables3(plugin='myplug2') assert isinstance(s, CSVSource) assert s._csv_kwargs is True with pytest.raises(ValueError): cat.tables4() with pytest.raises(ValueError): cat.tables4(plugin='myplug') with pytest.raises(ValueError): cat.tables4(plugin='myplug2') s = cat.tables5() assert isinstance(s, CSVSource) with pytest.raises(ValueError): cat.tables5(plugin='myplug') fn = abspath('multi_plugins2.yaml') with pytest.raises(ValueError): open_catalog(fn) def test_no_plugins(): fn = abspath('multi_plugins.yaml') cat = open_catalog(fn) with pytest.raises(ValueError) as e: cat.tables6 assert 'doesnotexist' in str(e.value) assert 'plugin-directory' in str(e.value) with pytest.raises(ValueError) as e: cat.tables7 assert 'doesnotexist' in str(e.value) def test_explicit_entry_driver(): from intake.source.textfiles import TextFilesSource e = LocalCatalogEntry('test', 'desc', TextFilesSource, args={'urlpath': None}) assert e.describe()['container'] == 'python' assert isinstance(e(), TextFilesSource) with pytest.raises(TypeError): LocalCatalogEntry('test', 'desc', None) def test_getitem_and_getattr(): fn = abspath('multi_plugins.yaml') catalog = open_catalog(fn) catalog['tables0'] with pytest.raises(KeyError): catalog['doesnotexist'] with pytest.raises(KeyError): catalog['_doesnotexist'] with pytest.raises(KeyError): # This exists as an *attribute* but not as an item. catalog['metadata'] catalog.tables0 # alias to catalog['tables0'] catalog.metadata # a normal attribute with pytest.raises(AttributeError): catalog.doesnotexit with pytest.raises(AttributeError): catalog._doesnotexit assert catalog.tables0 == catalog['tables0'] assert isinstance(catalog.metadata, (dict, type(None))) def test_dot_names(): fn = abspath('dot-nest.yaml') cat = open_catalog(fn) assert cat.self.leaf.description == 'leaf' assert cat.self['leafdot.dot'].description == 'leaf-dot' assert cat['selfdot.dot', 'leafdot.dot'].description == 'leaf-dot' assert cat['self.selfdot.dot', 'leafdot.dot'].description == 'leaf-dot' assert cat['self.self.dot', 'leafdot.dot'].description == 'leaf-dot' assert cat['self.self.dot', 'leaf'].description == 'leaf' assert cat['self.self.dot', 'leaf.dot'].description == 'leaf-dot' assert cat['self.self.dot.leaf.dot'].description == 'leaf-dot' def test_listing(catalog1): assert list(catalog1) == list(catalog1.nested) with pytest.raises(TypeError): list(catalog1.arr) def test_dict_save(): from intake.catalog.base import Catalog fn = os.path.join(tempfile.mkdtemp(), 'mycat.yaml') entry = LocalCatalogEntry(name='trial', description='get this back', driver='csv', args=dict(urlpath="")) cat = Catalog.from_dict({'trial': entry}, name='mycat') cat.save(fn) cat2 = open_catalog(fn) assert 'trial' in cat2 assert cat2.name == 'mycat' assert "CSV" in cat2.trial.classname def test_dict_save_complex(): from intake.catalog.base import Catalog fn = os.path.join(tempfile.mkdtemp(), 'mycat.yaml') cat = Catalog() entry = LocalCatalogEntry(name='trial', description='get this back', driver='csv', cache=[], catalog=cat, parameters=[UserParameter(name='par1', description='desc', type='int')], args={'urlpath': 'none'}) cat._entries = {'trial': entry} cat.save(fn) cat2 = open_catalog(fn) assert 'trial' in cat2 assert cat2.name == 'mycat' assert cat2.trial.describe()['plugin'][0] == 'csv' def test_dict_adddel(): from intake.catalog.base import Catalog entry = LocalCatalogEntry(name='trial', description='get this back', driver='csv', args=dict(urlpath="")) cat = Catalog.from_dict({'trial': entry}, name='mycat') assert 'trial' in cat cat['trial2'] = entry assert list(cat) == ['trial', 'trial2'] cat.pop('trial') assert list(cat) == ['trial2'] assert cat['trial2'].describe() == entry.describe() def test_filter(): from intake.catalog.base import Catalog entry1 = LocalCatalogEntry(name='trial', description='get this back', driver='csv', args=dict(urlpath="")) entry2 = LocalCatalogEntry(name='trial', description='pass this through', driver='csv', args=dict(urlpath="")) cat = Catalog.from_dict({'trial1': entry1, 'trial2': entry2}, name='mycat') cat2 = cat.filter(lambda e: 'pass' in e._description) assert list(cat2) == ['trial2'] assert cat2.trial2 == entry2() def test_from_dict_with_data_source(): "Check that Catalog.from_dict accepts DataSources not wrapped in Entry." from intake.catalog.base import Catalog fn = os.path.join(tempfile.mkdtemp(), 'mycat.yaml') entry = LocalCatalogEntry(name='trial', description='get this back', driver='csv', args=dict(urlpath="")) ds = entry() cat = Catalog.from_dict({'trial': ds}, name='mycat') def test_no_instance(): from intake.catalog.local import LocalCatalogEntry e0 = LocalCatalogEntry('foo', '', 'fake') e1 = LocalCatalogEntry('foo0', '', 'fake') # this would error on instantiation with driver not found assert e0 != e1 def test_fsspec_integration(): import fsspec import pandas as pd mem = fsspec.filesystem('memory') with mem.open('cat.yaml', 'wt') as f: f.write(""" sources: implicit: driver: csv description: o args: urlpath: "{{CATALOG_DIR}}/file.csv" explicit: driver: csv description: o args: urlpath: "memory:///file.csv" extra: driver: csv description: o args: urlpath: "{{CATALOG_DIR}}/file.csv" storage_options: {other: option}""" ) with mem.open('/file.csv', 'wt') as f: f.write("a,b\n0,1") expected = pd.DataFrame({'a': [0], 'b': [1]}) cat = open_catalog("memory://cat.yaml") assert list(cat) == ['implicit', 'explicit', 'extra'] assert cat.implicit.read().equals(expected) assert cat.explicit.read().equals(expected) s = cat.extra() assert s._storage_options['other'] def test_cat_add(tmpdir): tmpdir = str(tmpdir) fn = os.path.join(tmpdir, 'cat.yaml') with open(fn, 'w') as f: f.write('sources: {}') cat = open_catalog(fn) assert list(cat) == [] # was added in memory cat.add(cat) cat._load() # this would happen automatically, but not immediately assert list(cat) == ['cat'] # was added to the file cat = open_catalog(fn) assert list(cat) == ['cat'] def test_no_entries_items(catalog1): from intake.catalog.entry import CatalogEntry from intake.source.base import DataSource for k, v in catalog1.items(): assert not isinstance(v, CatalogEntry) assert isinstance(v, DataSource) for k in catalog1: v = catalog1[k] assert not isinstance(v, CatalogEntry) assert isinstance(v, DataSource) for k in catalog1: # we can't do attribute access on "text" because it # collides with a property if k == 'text': continue v = getattr(catalog1, k) assert not isinstance(v, CatalogEntry) assert isinstance(v, DataSource) def test_cat_dictlike(catalog1): assert list(catalog1) == list(catalog1.keys()) assert len(list(catalog1)) == len(catalog1) assert list(catalog1.items()) == list(zip(catalog1.keys(), catalog1.values())) def test_inherit_params(inherit_params_cat): assert inherit_params_cat.param._urlpath == "s3://test_bucket/file.parquet" def test_runtime_overwrite_params(inherit_params_cat): assert ( inherit_params_cat.param(bucket="runtime_overwrite")._urlpath == "s3://runtime_overwrite/file.parquet" ) def test_local_param_overwrites(inherit_params_cat): assert ( inherit_params_cat.local_param_overwrites._urlpath == "s3://local_param/file.parquet" ) def test_local_and_global_params(inherit_params_cat): assert ( inherit_params_cat.local_and_global_params._urlpath == "s3://test_bucket/local_filename.parquet" ) def test_search_inherit_params(inherit_params_cat): assert ( inherit_params_cat.search("local_and_global").local_and_global_params._urlpath == "s3://test_bucket/local_filename.parquet" ) def test_multiple_cats_params(inherit_params_multiple_cats): assert ( inherit_params_multiple_cats.local_and_global_params._urlpath == "s3://test_bucket/local_filename.parquet" ) intake-0.6.5/intake/catalog/tests/test_parameters.py000066400000000000000000000167251416666122400226230ustar00rootroot00000000000000import os import pytest import intake from intake.catalog.local import LocalCatalogEntry, UserParameter from intake.source.base import DataSource class NoSource(DataSource): def __init__(self, **kwargs): self.metadata = kwargs.pop('metadata', {}) self.kwargs = kwargs driver = 'intake.catalog.tests.test_parameters.NoSource' def test_simplest(): e = LocalCatalogEntry('', '', driver, args={'arg1': 1}) s = e() assert s.kwargs['arg1'] == 1 def test_cache_default_source(): # If the user provides parameters, don't allow default caching up = UserParameter('name', default='oi') e = LocalCatalogEntry('', '', driver, getenv=False, parameters=[up]) s1 = e(name="oioi") s2 = e() assert s1 is not s2 s1 = e() s2 = e(name="oioi") assert s1 is not s2 # Otherwise, we can cache the default source e = LocalCatalogEntry('', '', driver, getenv=False) s1 = e() s2 = e() assert s1 is s2 def test_parameter_default(): up = UserParameter('name', default='oi') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up]) s = e() assert s.kwargs['arg1'] == 'oi' def test_maybe_default_from_env(): # maybe fill in parameter default from the env, depending on getenv up = UserParameter('name', default='env(INTAKE_TEST_VAR)') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=False) s = e() assert s.kwargs['arg1'] == 'env(INTAKE_TEST_VAR)' os.environ['INTAKE_TEST_VAR'] = 'oi' # Clear the cached source so we can (not) pick up the changed environment variable. e.clear_cached_default_source() s = e() assert s.kwargs['arg1'] == 'env(INTAKE_TEST_VAR)' up = UserParameter('name', default='env(INTAKE_TEST_VAR)') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=True) s = e() assert s.kwargs['arg1'] == 'oi' del os.environ['INTAKE_TEST_VAR'] # Clear the cached source so we can pick up the changed environment variable. e.clear_cached_default_source() s = e() assert s.kwargs['arg1'] == '' def test_up_override_and_render(): up = UserParameter('name', default='env(INTAKE_TEST_VAR)') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=False) s = e(name='other') assert s.kwargs['arg1'] == 'other' def test_user_explicit_override(): up = UserParameter('name', default='env(INTAKE_TEST_VAR)') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=False) # override wins over up s = e(arg1='other') assert s.kwargs['arg1'] == 'other' def test_auto_env_expansion(): os.environ['INTAKE_TEST_VAR'] = 'oi' e = LocalCatalogEntry('', '', driver, args={'arg1': "{{env(INTAKE_TEST_VAR)}}"}, parameters=[], getenv=False) s = e() # when getenv is False, you pass through the text assert s.kwargs['arg1'] == '{{env(INTAKE_TEST_VAR)}}' e = LocalCatalogEntry('', '', driver, args={'arg1': "{{env(INTAKE_TEST_VAR)}}"}, parameters=[], getenv=True) s = e() assert s.kwargs['arg1'] == 'oi' # same, but with quoted environment name e = LocalCatalogEntry('', '', driver, args={'arg1': '{{env("INTAKE_TEST_VAR")}}'}, parameters=[], getenv=True) s = e() assert s.kwargs['arg1'] == 'oi' del os.environ['INTAKE_TEST_VAR'] # Clear the cached source so we can pick up the changed environment variable. e.clear_cached_default_source() s = e() assert s.kwargs['arg1'] == '' e = LocalCatalogEntry('', '', driver, args={'arg1': "{{env(INTAKE_TEST_VAR)}}"}, parameters=[], getenv=False) s = e() assert s.kwargs['arg1'] == '{{env(INTAKE_TEST_VAR)}}' def test_validate_up(): up = UserParameter('name', default=1, type='int') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=False) s = e() # OK assert s.kwargs['arg1'] == '1' with pytest.raises(ValueError): e(name='oi') up = UserParameter('name', type='int') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up], getenv=False) s = e() # OK # arg1 is a string: real int gets rendered by jinja assert s.kwargs['arg1'] == '0' # default default for int s = e(arg1='something') assert s.kwargs['arg1'] == 'something' def test_validate_par(): up = UserParameter('arg1', type='int') e = LocalCatalogEntry('', '', driver, args={'arg1': "oi"}, parameters=[up], getenv=False) with pytest.raises(ValueError): e() e = LocalCatalogEntry('', '', driver, args={'arg1': 1}, parameters=[up], getenv=False) e() # OK e = LocalCatalogEntry('', '', driver, args={'arg1': "1"}, parameters=[up], getenv=False) s = e() # OK assert s.kwargs['arg1'] == 1 # a number, not str def test_mlist_parameter(): up = UserParameter("", "", "mlist", allowed=["a", "b"]) up.validate([]) up.validate(['b']) up.validate(['b', 'a']) with pytest.raises(ValueError): up.validate(["c"]) with pytest.raises(ValueError): up.validate(["a", "c"]) with pytest.raises(TypeError): up.validate("hello") def test_explicit_overrides(): e = LocalCatalogEntry('', '', driver, args={'arg1': "oi"}) s = e(arg1='hi') assert s.kwargs['arg1'] == 'hi' e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}) s = e(name='hi') assert s.kwargs['arg1'] == 'hi' os.environ['INTAKE_TEST_VAR'] = 'another' e = LocalCatalogEntry('', '', driver, args={'arg1': "oi"}, getenv=True) s = e(arg1='{{env(INTAKE_TEST_VAR)}}') assert s.kwargs['arg1'] == 'another' up = UserParameter('arg1', type='int') e = LocalCatalogEntry('', '', driver, args={'arg1': 1}, parameters=[up]) with pytest.raises(ValueError): e(arg1='oi') s = e(arg1='1') assert s.kwargs['arg1'] == 1 def test_extra_arg(): e = LocalCatalogEntry('', '', driver, args={'arg1': "oi"}) s = e(arg2='extra') assert s.kwargs['arg2'] == 'extra' def test_unknown(): e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}) s = e() assert s.kwargs['arg1'] == "" # parameter has no default up = UserParameter('name') e = LocalCatalogEntry('', '', driver, args={'arg1': "{{name}}"}, parameters=[up]) s = e() assert s.kwargs['arg1'] == "" def test_catalog_passthrough(): root = os.path.dirname(os.path.dirname(os.path.dirname(__file__))) cat = intake.open_catalog(os.path.join(root, "tests/catalog_inherit_params.yml")) assert set(cat.subcat.user_parameters) == {"bucket", "inner"} url = cat.subcat.ex2.urlpath assert url == "test_bucket/test_name" url = cat.subcat.ex2(bucket="hi", inner="ho").urlpath assert url == "hi/ho" # test clone cat2 = cat(bucket="yet") url = cat2.subcat(inner="another").ex2.urlpath assert url == "yet/another" url = cat2.subcat(inner="another").ex2(bucket="hi").urlpath assert url == "hi/another" intake-0.6.5/intake/catalog/tests/test_persist.py000066400000000000000000000023211416666122400221340ustar00rootroot00000000000000#!/usr/bin/env python #----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import os.path import pytest import intake path = os.path.dirname(__file__) def test_idempotent(temp_cache): pytest.importorskip('zarr') cat = intake.open_catalog(os.path.abspath( os.path.join(path, '..', '..', 'source', 'tests', 'sources.yaml'))) s = cat.zarr1() assert not s.has_been_persisted s2 = s.persist() assert s.has_been_persisted assert not s.is_persisted assert not s2.has_been_persisted assert s2.is_persisted s3 = s.persist() assert s3 == s2 assert s.get_persisted() == cat.zarr1() with pytest.raises(ValueError): s2.persist() def test_parquet(temp_cache): inp = pytest.importorskip('intake_parquet') cat = intake.open_catalog(os.path.abspath( os.path.join(path, 'catalog1.yml'))) s = cat.entry1() s2 = s.persist() assert isinstance(s2, inp.ParquetSource) intake-0.6.5/intake/catalog/tests/test_reload_integration.py000066400000000000000000000066061416666122400243260ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import os.path import shutil import tempfile import time import pytest from .util import assert_items_equal from intake import open_catalog TMP_DIR = tempfile.mkdtemp() TEST_CATALOG_PATH = [TMP_DIR] YAML_FILENAME = 'intake_test_catalog.yml' MISSING_PATH = os.path.join(TMP_DIR, 'a') def teardown_module(module): try: shutil.rmtree(TMP_DIR) except: pass @pytest.fixture def intake_server_with_config(intake_server): fullname = os.path.join(TMP_DIR, YAML_FILENAME) with open(fullname, 'w') as f: f.write(''' plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} ''') time.sleep(1) yield intake_server os.remove(fullname) def test_reload_updated_config(intake_server_with_config): catalog = open_catalog(intake_server_with_config, ttl=0.1) entries = list(catalog) assert entries == ['use_example1'] with open(os.path.join(TMP_DIR, YAML_FILENAME), 'a') as f: f.write(''' use_example1_1: description: example1 other driver: example1 args: {} ''') time.sleep(1.2) assert_items_equal(list(catalog), ['use_example1', 'use_example1_1']) def test_reload_updated_directory(intake_server_with_config): catalog = open_catalog(intake_server_with_config, ttl=0.1) orig_entries = list(catalog) assert 'example2' not in orig_entries filename = os.path.join(TMP_DIR, 'intake_test_catalog2.yml') with open(filename, 'w') as f: f.write(''' sources: example2: description: source 2 driver: csv args: urlpath: none ''') time.sleep(1.2) assert_items_equal(list(catalog), ['example2'] + orig_entries) def test_reload_missing_remote_directory(intake_server): try: shutil.rmtree(TMP_DIR) except: pass time.sleep(1) catalog = open_catalog(intake_server, ttl=0.1) assert_items_equal(list(catalog), []) os.mkdir(TMP_DIR) with open(os.path.join(TMP_DIR, YAML_FILENAME), 'w') as f: f.write(''' plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} ''') time.sleep(1.2) assert_items_equal(list(catalog), ['use_example1']) try: shutil.rmtree(TMP_DIR) except: pass def test_reload_missing_local_directory(tempdir): catalog = open_catalog(tempdir + '/*', ttl=0.1) assert_items_equal(list(catalog), []) with open(os.path.join(tempdir, YAML_FILENAME), 'w') as f: f.write(''' plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} ''') time.sleep(1.2) assert 'use_example1' in catalog intake-0.6.5/intake/catalog/tests/test_remote_integration.py000066400000000000000000000331501416666122400243450ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os.path import pickle import pytest import pandas as pd from intake.source.tests.util import verify_datasource_interface from .util import assert_items_equal from intake import open_catalog from intake.catalog.remote import RemoteCatalog TEST_CATALOG_PATH = os.path.join(os.path.dirname(__file__), 'catalog1.yml') def test_info_describe(intake_server): catalog = open_catalog(intake_server) assert_items_equal(list(catalog), ['use_example1', 'nested', 'entry1', 'entry1_part', 'remote_env', 'local_env', 'text', 'arr', 'datetime']) info = catalog['entry1'].describe() expected = { 'container': 'dataframe', 'description': 'entry1 full', 'name': 'entry1', 'direct_access': 'forbid', 'user_parameters': [] } for k in expected: assert info[k] == expected[k] info = catalog['entry1_part'].describe() assert info['direct_access'] == 'allow' def test_bad_url(intake_server): bad_url = intake_server + '/nonsense_prefix' with pytest.raises(Exception): open_catalog(bad_url) def test_metadata(intake_server): catalog = open_catalog(intake_server) assert hasattr(catalog, 'metadata') assert catalog.metadata['test'] is True assert catalog.version == 1 def test_nested_remote(intake_server): from intake.catalog.local import LocalCatalogEntry catalog = open_catalog() catalog._entries = { 'server': LocalCatalogEntry('server', 'remote test', 'intake_remote', True, {'url': intake_server}, [], [], {}, None) } assert 'entry1' in catalog.server() def test_remote_direct(intake_server): from intake.container.dataframe import RemoteDataFrame catalog = open_catalog(intake_server) s0 = catalog.entry1() s0.discover() s = RemoteDataFrame(intake_server.replace('intake', 'http'), {}, name='entry1', parameters={}, npartitions=s0.npartitions, shape=s0.shape, metadata=s0.metadata, dtype=s0.dtype) assert s0.read().equals(s.read()) def test_entry_metadata(intake_server): catalog = open_catalog(intake_server) entry = catalog['arr'] assert entry.metadata == entry().metadata def test_unknown_source(intake_server): catalog = open_catalog(intake_server) with pytest.raises(Exception): catalog['does_not_exist'].describe() def test_remote_datasource_interface(intake_server): catalog = open_catalog(intake_server) d = catalog['entry1'] verify_datasource_interface(d) def test_environment_evaluation(intake_server): catalog = open_catalog(intake_server) import os os.environ['INTAKE_TEST'] = 'client' catalog['remote_env'] def test_read(intake_server): catalog = open_catalog(intake_server) d = catalog['entry1'] test_dir = os.path.dirname(__file__) file1 = os.path.join(test_dir, 'entry1_1.csv') file2 = os.path.join(test_dir, 'entry1_2.csv') expected_df = pd.concat((pd.read_csv(file1), pd.read_csv(file2))) meta = expected_df[:0] info = d.discover() assert info['dtype'] == {k: str(v) for k, v in meta.dtypes.to_dict().items()} assert info['npartitions'] == 2 assert info['shape'] == (None, 3) # Do not know CSV size ahead of time md = d.metadata.copy() assert md['foo'] == 'bar' assert md['bar'] == [1, 2, 3] df = d.read() assert expected_df.equals(df) def test_read_direct(intake_server): catalog = open_catalog(intake_server) d = catalog['entry1_part'].configure_new(part='2') test_dir = os.path.dirname(__file__) file2 = os.path.join(test_dir, 'entry1_2.csv') expected_df = pd.read_csv(file2) meta = expected_df[:0] info = d.discover() assert info['dtype'] == {k: str(v) for k, v in meta.dtypes.to_dict().items()} assert info['npartitions'] == 1 assert info['shape'] == (None, 3) # Do not know CSV size ahead of time md = info['metadata'].copy() md.pop('catalog_dir', None) assert md == {'bar': [2, 4, 6], 'foo': 'baz'} md = d.metadata.copy() md.pop('catalog_dir', None) assert md == dict(foo='baz', bar=[2, 4, 6]) assert d.description == 'entry1 part' df = d.read() assert expected_df.equals(df) def test_read_chunks(intake_server): catalog = open_catalog(intake_server) d = catalog.entry1 chunks = list(d.read_chunked()) assert len(chunks) == 2 test_dir = os.path.dirname(__file__) file1 = os.path.join(test_dir, 'entry1_1.csv') file2 = os.path.join(test_dir, 'entry1_2.csv') expected_df = pd.concat((pd.read_csv(file1), pd.read_csv(file2))) assert expected_df.equals(pd.concat(chunks)) def test_read_partition(intake_server): catalog = open_catalog(intake_server) d = catalog.entry1 p2 = d.read_partition(1) p1 = d.read_partition(0) test_dir = os.path.dirname(__file__) file1 = os.path.join(test_dir, 'entry1_1.csv') file2 = os.path.join(test_dir, 'entry1_2.csv') assert pd.read_csv(file1).equals(p1) assert pd.read_csv(file2).equals(p2) def test_close(intake_server): catalog = open_catalog(intake_server) d = catalog.entry1 d.close() def test_with(intake_server): catalog = open_catalog(intake_server) with catalog.entry1 as f: assert f.discover() def test_pickle(intake_server): catalog = open_catalog(intake_server) d = catalog.entry1 new_d = pickle.loads(pickle.dumps(d, pickle.HIGHEST_PROTOCOL)) df = new_d.read() test_dir = os.path.dirname(__file__) file1 = os.path.join(test_dir, 'entry1_1.csv') file2 = os.path.join(test_dir, 'entry1_2.csv') expected_df = pd.concat((pd.read_csv(file1), pd.read_csv(file2))) assert expected_df.equals(df) def test_to_dask(intake_server): catalog = open_catalog(intake_server) d = catalog.entry1 df = d.to_dask() assert df.npartitions == 2 def test_remote_env(intake_server): import os os.environ['INTAKE_TEST'] = 'client' catalog = open_catalog(intake_server) catalog.remote_env with pytest.raises(Exception) as e: catalog.remote_env.read() with pytest.raises(Exception) as e: catalog.local_env assert 'path-client' in str(e.value) # prevents *client* from getting env catalog = open_catalog(intake_server, getenv=False) with pytest.raises(Exception) as e: catalog.local_env assert 'INTAKE_TEST' in str(e.value) def test_remote_sequence(intake_server): import glob d = os.path.dirname(TEST_CATALOG_PATH) catalog = open_catalog(intake_server) assert 'text' in catalog s = catalog.text() s.discover() assert s.npartitions == len(glob.glob(os.path.join(d, '*.yml'))) assert s.read_partition(0) assert s.read() def test_remote_arr(intake_server): catalog = open_catalog(intake_server) assert 'arr' in catalog s = catalog.arr() s.discover() assert 'remote-array' in s.to_dask().name assert s.npartitions == 2 assert s.read_partition(0).ravel().tolist() == list(range(50)) assert s.read().ravel().tolist() == list(range(100)) def test_pagination(intake_server): PAGE_SIZE = 2 catalog = open_catalog(intake_server, page_size=PAGE_SIZE) assert len(catalog._entries._page_cache) == 0 assert len(catalog._entries._direct_lookup_cache) == 0 # Trigger fetching one specific name. catalog['arr'] assert len(catalog._entries._page_cache) == 0 assert len(catalog._entries._direct_lookup_cache) == 1 # Using `in` on a Catalog should not iterate. 'arr' in catalog assert len(catalog._entries._page_cache) == 0 assert len(catalog._entries._direct_lookup_cache) == 1 # Trigger fetching just one full page. list(zip(range(PAGE_SIZE), catalog)) assert len(catalog._entries._page_cache) == PAGE_SIZE assert len(catalog._entries._direct_lookup_cache) == 1 # Trigger fetching all pages by list-ifying. list(catalog) assert len(catalog._entries._page_cache) > PAGE_SIZE assert len(catalog._entries._direct_lookup_cache) == 1 # Now direct lookup by name should be free because everything is cached. catalog['text'] assert len(catalog._entries._direct_lookup_cache) == 1 def test_dir(intake_server): PAGE_SIZE = 2 catalog = open_catalog(intake_server, page_size=PAGE_SIZE) assert len(catalog._entries._page_cache) == 0 assert len(catalog._entries._direct_lookup_cache) == 0 assert not catalog._entries.complete with pytest.warns(UserWarning, match="Tab-complete"): key_completions = catalog._ipython_key_completions_() with pytest.warns(UserWarning, match="Tab-complete"): dir_ = dir(catalog) # __dir__ triggers loading the first page. assert len(catalog._entries._page_cache) == 2 assert len(catalog._entries._direct_lookup_cache) == 0 assert not catalog._entries.complete assert set(key_completions) == set(['use_example1', 'nested']) assert 'metadata' in dir_ # a normal attribute assert 'use_example1' in dir_ # an entry from the first page assert 'arr' not in dir_ # an entry we haven't cached yet # Trigger fetching one specific name. catalog['arr'] with pytest.warns(UserWarning, match="Tab-complete"): dir_ = dir(catalog) with pytest.warns(UserWarning, match="Tab-complete"): key_completions = catalog._ipython_key_completions_() assert 'metadata' in dir_ assert 'arr' in dir_ # an entry cached via direct access assert 'arr' in key_completions # Load everything. list(catalog) assert catalog._entries.complete with pytest.warns(None) as record: assert set(catalog) == set(catalog._ipython_key_completions_()) assert set(catalog).issubset(set(dir(catalog))) assert len(record) == 0 # Load without pagination (with also loads everything). catalog = open_catalog(intake_server, page_size=None) assert catalog._entries.complete with pytest.warns(None) as record: assert set(catalog) == set(catalog._ipython_key_completions_()) assert set(catalog).issubset(set(dir(catalog))) assert len(record) == 0 def test_getitem_and_getattr(intake_server): catalog = open_catalog(intake_server) catalog['arr'] with pytest.raises(KeyError): catalog['doesnotexist'] with pytest.raises(KeyError): catalog['_doesnotexist'] with pytest.raises(KeyError): # This exists as an *attribute* but not as an item. catalog['metadata'] catalog.arr # alias to catalog['arr'] catalog.metadata # a normal attribute with pytest.raises(AttributeError): catalog.doesnotexit with pytest.raises(AttributeError): catalog._doesnotexit assert catalog.arr.describe() == catalog['arr'].describe() assert "RemoteArray" in catalog.arr.classname assert isinstance(catalog.metadata, (dict, type(None))) def test_search(intake_server): remote_catalog = open_catalog(intake_server) local_catalog = open_catalog(TEST_CATALOG_PATH) # Basic example remote_results = remote_catalog.search('entry1') local_results = local_catalog.search('entry1') expected = ['nested.entry1', 'nested.entry1_part', 'entry1', 'entry1_part'] assert isinstance(remote_results, RemoteCatalog) assert list(local_results) == list(remote_results) == expected # Progressive search remote_results = remote_catalog.search('entry1').search('part') local_results = local_catalog.search('entry1').search('part') expected = ['nested.entry1_part', 'entry1_part'] assert isinstance(remote_results, RemoteCatalog) assert list(local_results) == list(remote_results) == expected # Double progressive search remote_results = (remote_catalog .search('entry1') .search('part') .search('part')) local_results = (local_catalog .search('entry1') .search('part') .search('part')) expected = ['nested.entry1_part', 'entry1_part'] assert isinstance(remote_results, RemoteCatalog) assert list(local_results) == list(remote_results) == expected # Search on a nested Catalog. remote_results = remote_catalog['nested'].search('entry1') local_results = local_catalog['nested'].search('entry1') expected = ['nested.entry1', 'nested.entry1_part', 'entry1', 'entry1_part'] assert isinstance(remote_results, RemoteCatalog) assert list(local_results) == list(remote_results) == expected # Search with empty results set remote_results = remote_catalog.search('DOES NOT EXIST') local_results = local_catalog.search('DOES NOT EXIST') expected = [] assert isinstance(remote_results, RemoteCatalog) assert list(local_results) == list(remote_results) == expected def test_access_subcatalog(intake_server): catalog = open_catalog(intake_server) catalog['nested'] def test_len(intake_server): remote_catalog = open_catalog(intake_server) local_catalog = open_catalog(TEST_CATALOG_PATH) assert sum(1 for entry in local_catalog) == len(remote_catalog) def test_datetime(intake_server): catalog = open_catalog(intake_server) info = catalog["datetime"].describe() catalog['datetime'].parameters['time'] == pd.Timestamp("1970") intake-0.6.5/intake/catalog/tests/test_utils.py000066400000000000000000000037061416666122400216130ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest import intake.catalog.utils as utils import pandas as pd def test_expand_templates(): pars = {'a': "{{par}} hi"} context = {'b': 1, 'par': 'ho'} assert utils.expand_templates(pars, context)['a'] == 'ho hi' assert utils.expand_templates(pars, context, True)[1] == {'b'} def test_expand_nested_template(): pars = {'a': ["{{par}} hi"]} context = {'b': 1, 'par': 'ho'} assert utils.expand_templates(pars, context)['a'] == ['ho hi'] assert utils.expand_templates(pars, context, True)[1] == {'b'} pars = {'a': {'k': {("{{par}} hi", )}}} context = {'b': 1, 'par': 'ho'} assert utils.expand_templates(pars, context)['a'] == {'k': {("ho hi", )}} assert utils.expand_templates(pars, context, True)[1] == {'b'} @pytest.mark.parametrize("test_input,expected", [ (None, pd.Timestamp('1970-01-01 00:00:00')), (1, pd.Timestamp('1970-01-01 00:00:00.000000001')), ("1988-02-24T13:37+0100", pd.Timestamp("1988-02-24 13:37+0100")), ({"__datetime__": True, "as_str": "1988-02-24T13:37+0100"}, pd.Timestamp("1988-02-24T13:37+0100")), ]) def test_coerce_datetime(test_input, expected): assert utils.coerce_datetime(test_input) == expected def test_flatten(): assert list(utils.flatten([["hi"], ["oi"]])) == ['hi', 'oi'] @pytest.mark.parametrize( "value,dtype,expected", [ (1, "int", 1), ("1", "int", 1), (1, "str", "1"), ((), "list", []), ((1, ), "list", [1]), ((1, ), "list[str]", ["1"]) ], ) def test_coerce(value, dtype, expected): out = utils.coerce(dtype, value) assert out == expected assert type(out) == type(expected) intake-0.6.5/intake/catalog/tests/test_zarr.py000066400000000000000000000124231416666122400214250ustar00rootroot00000000000000import tempfile import shutil import os import pytest from intake.catalog.zarr import ZarrGroupCatalog from intake.catalog.local import LocalCatalogEntry from intake import open_catalog from intake.source.zarr import ZarrArraySource from .util import assert_items_equal zarr = pytest.importorskip('zarr') @pytest.fixture def temp_zarr(): zarr_path = tempfile.mkdtemp() # setup a zarr hierarchy stored on local file system store = zarr.DirectoryStore(zarr_path) root = zarr.open_group(store=store, mode='w') root.attrs['title'] = 'root group' root.attrs['description'] = 'a test hierarchy' root.create_group('foo') root['foo'].attrs['title'] = 'foo group' root['foo'].attrs['description'] = 'a test group' root.create_group('bar') root.create_dataset('baz', shape=100, dtype='i4') root['baz'].attrs['title'] = 'baz array' root['baz'].attrs['description'] = 'a test array' root['bar'].create_group('spam') root['bar'].create_dataset('eggs', shape=10, dtype='f4') zarr.consolidate_metadata(store=store) # setup a local YAML file catalog including entries pointing to the zarr # hierarchy yaml_path = tempfile.mkdtemp() catalog_file = os.path.join(yaml_path, 'catalog.yml') with open(catalog_file, 'w') as f: f.write(""" sources: root: driver: zarr_cat args: urlpath: {zarr_path} consolidated: True bar: driver: zarr_cat args: urlpath: {zarr_path} component: bar eggs: driver: ndzarr args: urlpath: {zarr_path} component: bar/eggs """.format(zarr_path=zarr_path)) yield zarr_path, store, root, catalog_file shutil.rmtree(zarr_path) shutil.rmtree(yaml_path) @pytest.mark.parametrize('consolidated', [False, True]) def test_zarr_catalog(temp_zarr, consolidated): import dask.array as da path, store, root, _ = temp_zarr # test zarr catalog opened directly, with different urlpath argument types for urlpath in path, store, root: # open catalog cat = ZarrGroupCatalog(urlpath=urlpath, consolidated=consolidated) assert isinstance(cat, ZarrGroupCatalog) assert 'catalog' == cat.container # check entries assert_items_equal(['foo', 'bar', 'baz'], list(cat)) assert isinstance(cat['foo'], ZarrGroupCatalog) assert 'catalog' == cat['foo'].describe()['container'] assert isinstance(cat['bar'], ZarrGroupCatalog) assert 'catalog' == cat['bar'].describe()['container'] assert isinstance(cat['baz'], ZarrArraySource) assert 'ndarray' == cat['baz'].describe()['container'] # check metadata from attributes assert 'root group' == cat.metadata['title'] assert 'a test hierarchy' == cat.metadata['description'] assert 'foo group' == cat['foo'].metadata['title'] assert 'a test group' == cat['foo'].metadata['description'] # no attributes assert 'title' not in cat['bar'].metadata assert 'description' not in cat['bar'].metadata # check nested catalogs assert_items_equal(['spam', 'eggs'], list(cat['bar'])) assert isinstance(cat['bar']['spam'], ZarrGroupCatalog) assert 'catalog' == cat['bar']['spam'].describe()['container'] assert isinstance(cat['bar']['eggs'], ZarrArraySource) assert 'ndarray' == cat['bar']['eggs'].describe()['container'] # check obtain zarr groups assert isinstance(cat.to_zarr(), zarr.hierarchy.Group) assert isinstance(cat['foo'].to_zarr(), zarr.hierarchy.Group) assert isinstance(cat['bar'].to_zarr(), zarr.hierarchy.Group) assert isinstance(cat['bar']['spam'].to_zarr(), zarr.hierarchy.Group) # check obtain dask arrays assert isinstance(cat['baz'].to_dask(), da.Array) assert isinstance(cat['bar']['eggs'].to_dask(), da.Array) # open catalog directly from subgroup via `component` arg cat = ZarrGroupCatalog(urlpath, component='bar') assert_items_equal(['spam', 'eggs'], list(cat)) assert isinstance(cat['spam'], ZarrGroupCatalog) assert 'catalog' == cat['spam'].describe()['container'] assert isinstance(cat['eggs'], ZarrArraySource) assert 'ndarray' == cat['eggs'].describe()['container'] def test_zarr_entries_in_yaml_catalog(temp_zarr): import dask.array as da # open YAML catalog file _, _, _, catalog_file = temp_zarr cat = open_catalog(catalog_file) # test entries assert_items_equal(['root', 'bar', 'eggs'], list(cat)) # entry pointing to zarr root group assert isinstance(cat['root'], ZarrGroupCatalog) assert_items_equal(['foo', 'bar', 'baz'], list(cat['root'])) assert 'catalog' == cat['root'].describe()['container'] assert isinstance(cat['root'].to_zarr(), zarr.hierarchy.Group) # entry pointing to zarr sub-group assert isinstance(cat['bar'], ZarrGroupCatalog) assert_items_equal(['spam', 'eggs'], list(cat['bar'])) assert 'catalog' == cat['bar'].describe()['container'] assert isinstance(cat['bar'].to_zarr(), zarr.hierarchy.Group) # entry pointing to zarr array assert isinstance(cat['eggs'], ZarrArraySource) assert 'ndarray' == cat['eggs'].describe()['container'] assert isinstance(cat['eggs'].to_dask(), da.Array) intake-0.6.5/intake/catalog/tests/util.py000066400000000000000000000017641416666122400203730ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from intake.source import base, registry def assert_items_equal(a, b): assert len(a) == len(b) and sorted(a) == sorted(b) class TestingSource(base.DataSource): """A source that gives back whatever parameters were passed to it""" name = 'test' version = '0.0.1' container = 'python' partition_access = False def __init__(self, *args, **kwargs): self.args = args self.kwargs = kwargs super(TestingSource, self).__init__('python') self.npartitions = 1 def _load_metadata(self): pass def _get_partition(self, _): return self.args, self.kwargs def register(): registry['test'] = TestingSource intake-0.6.5/intake/catalog/utils.py000066400000000000000000000257041416666122400174140ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import ast from collections.abc import Iterable import functools import itertools from jinja2 import Environment, meta, Undefined import os import re import shlex import subprocess import sys def flatten(iterable): """Flatten an arbitrarily deep list""" # likely not used iterable = iter(iterable) while True: try: item = next(iterable) except StopIteration: break if isinstance(item, str): yield item continue try: data = iter(item) iterable = itertools.chain(data, iterable) except: yield item def reload_on_change(f): @functools.wraps(f) def wrapper(self, *args, **kwargs): self.reload() return f(self, *args, **kwargs) return wrapper def clamp(value, lower=0, upper=sys.maxsize): """Clamp float between given range""" return max(lower, min(upper, value)) def _j_getenv(x, default=""): if isinstance(x, Undefined): x = x._undefined_name if isinstance(default, Undefined): default = default._undefined_name return os.getenv(x, default) def _j_getshell(x): if isinstance(x, Undefined): x = x._undefined_name try: return subprocess.check_output(x).decode() except (IOError, OSError): return "" def _j_passthrough(x, funcname): if isinstance(x, Undefined): x = x._undefined_name return "{{%s(%s)}}" % (funcname, x) def _expand(p, context, all_vars, client, getenv, getshell): if isinstance(p, dict): return {k: _expand(v, context, all_vars, client, getenv, getshell) for k, v in p.items()} elif isinstance(p, (list, tuple, set)): return type(p)(_expand(v, context, all_vars, client, getenv, getshell) for v in p) elif isinstance(p, str): jinja = Environment() if getenv and not client: jinja.globals['env'] = _j_getenv else: jinja.globals['env'] = lambda x: _j_passthrough(x, funcname='env') if getenv and client: jinja.globals['client_env'] = _j_getenv else: jinja.globals['client_env'] = lambda x: _j_passthrough(x, funcname='client_env') if getshell and not client: jinja.globals['shell'] = _j_getshell else: jinja.globals['shell'] = lambda x: _j_passthrough(x, funcname='shell') if getshell and client: jinja.globals['client_shell'] = _j_getshell else: jinja.globals['client_shell'] = lambda x: _j_passthrough(x, funcname='client_shell') ast = jinja.parse(p) all_vars -= meta.find_undeclared_variables(ast) return jinja.from_string(p).render(context) else: # no expansion return p def expand_templates(pars, context, return_left=False, client=False, getenv=True, getshell=True): """ Render variables in context into the set of parameters with jinja2. For variables that are not strings, nothing happens. Parameters ---------- pars: dict values are strings containing some jinja2 controls context: dict values to use while rendering return_left: bool whether to return the set of variables in context that were not used in rendering parameters Returns ------- dict with the same keys as ``pars``, but updated values; optionally also return set of unused parameter names. """ all_vars = set(context) out = _expand(pars, context, all_vars, client, getenv, getshell) if return_left: return out, all_vars return out def expand_defaults(default, client=False, getenv=True, getshell=True): """Compile env, client_env, shell and client_shell commands Execution rules: - env() and shell() execute where the cat is loaded, if getenv and getshell are True, respectively - client_env() and client_shell() execute only if client is True and getenv/getshell are also True. If both getenv and getshell are False, this method does nothing. If the environment variable is missing or the shell command fails, the output is an empty string. """ r = re.match(r'env\((.*),?(.*)\)', default) if r and not client and getenv: gs = r.groups() default = os.environ.get(gs[0], gs[1] if len(gs) > 1 else "") r = re.match(r'client_env\((.*)\)', default) if r and client and getenv: default = os.environ.get(r.groups()[0], '') r = re.match(r'shell\((.*)\)', default) if r and not client and getshell: try: cmd = shlex.split(r.groups()[0]) default = subprocess.check_output( cmd).rstrip().decode('utf8') except (subprocess.CalledProcessError, OSError): default = '' r = re.match(r'client_shell\((.*)\)', default) if r and client and getshell: try: cmd = shlex.split(r.groups()[0]) default = subprocess.check_output( cmd).rstrip().decode('utf8') except (subprocess.CalledProcessError, OSError): default = '' return default def merge_pars(params, user_inputs, spec_pars, client=False, getenv=True, getshell=True): """Produce open arguments by merging various inputs This function is called in the context of a catalog entry, when finalising the arguments for instantiating the corresponding data source. The three sets of inputs to be considered are: - the arguments section of the original spec (params) - UserParameters associated with the entry (spec_pars) - explicit arguments provided at instantiation time, like entry(arg=value) (user_inputs) Both spec_pars and user_inputs can be considered as template variables and used in expanding string values in params. The default value of a spec_par, if given, may have embedded env and shell functions, which will be evaluated before use, if the default is used and the corresponding getenv/getsgell are set. Similarly, string value params will also have access to these functions within jinja template groups, as well as full jinja processing. Where a key exists in both the spec_pars and the user_inputs, the user_input wins. Where user_inputs contains keys not seen elsewhere, they are regarded as extra kwargs to pass to the data source. Where spec pars have the same name as keys in params, their type, max/min and allowed fields are used to validate the final values of the corresponding arguments. Parameters ---------- params : dict From the entry's original spec user_inputs : dict Provided by the user/calling function spec_pars : list of UserParameters Default and validation instances client : bool Whether this is all running on a client to a remote server - sets which of the env/shell functions are in operation. getenv : bool Whether to allow pulling environment variables. If False, the template blocks will pass through unevaluated getshell : bool Whether or not to allow executing of shell commands. If False, the template blocks will pass through unevaluated Returns ------- Final parameter dict """ context = params.copy() for par in spec_pars: val = user_inputs.get(par.name, par.default) if val is not None: if isinstance(val, str): val = expand_defaults(val, getenv=getenv, getshell=getshell, client=client) context[par.name] = par.validate(val) context.update({k: v for k, v in user_inputs.items() if k not in context}) out, left = expand_templates(params, context, True, client, getenv, getshell) context = {k: v for k, v in context.items() if k in left} for par in spec_pars: if par.name in context: # coerces to type context[par.name] = par.validate(context[par.name]) left.remove(par.name) params.update(out) user_inputs = expand_templates(user_inputs, context, False, client, getenv, getshell) params.update({k: v for k, v in user_inputs.items() if k in left}) params.pop('CATALOG_DIR', None) for k, v in params.copy().items(): # final validation/coersion for sp in [p for p in spec_pars if p.name == k]: params[k] = sp.validate(params[k]) return params def coerce_datetime(v=None): import pandas if not v: v = 0 try: iter(v) except TypeError: # not iterable pass else: if "__datetime__" in v: v = v["as_str"] return pandas.to_datetime(v) COERCION_RULES = { 'bool': bool, 'datetime': coerce_datetime, 'dict': dict, 'float': float, 'tuple': tuple, 'mlist': list, 'int': int, 'list': list, 'str': str, 'unicode': str, 'other': lambda x: x } def coerce(dtype, value): """ Convert a value to a specific type. If the value is already the given type, then the original value is returned. If the value is None, then the default value given by the type constructor is returned. Otherwise, the type constructor converts and returns the value. """ if "[" in dtype: dtype, inner = dtype.split("[") inner = inner.rstrip("]") else: inner = None if dtype is None: return value if type(value).__name__ == dtype: return value if dtype == "mlist": if isinstance(value, (tuple, set, dict)): return list(value) if isinstance(value, str): try: value = ast.literal_eval(value) return list(value) except ValueError as e: raise ValueError("Failed to coerce string to list") from e return value op = COERCION_RULES[dtype] out = op() if value is None else op(value) if isinstance(out, dict) and inner is not None: # TODO: recurse into coerce here, to allow list[list[str]] and such? out = {k: COERCION_RULES[inner](v) for k, v in out.items()} if isinstance(out, (tuple, list, set)) and inner is not None: out = op(COERCION_RULES[inner](v) for v in out) return out class RemoteCatalogError(Exception): pass def _has_catalog_dir(args): """Check is any value in args dict needs CATALOG_DIR variable""" env = Environment() for k, arg in args.items(): parsed_content = env.parse(arg) vars = meta.find_undeclared_variables(parsed_content) if 'CATALOG_DIR' in vars: return True return False intake-0.6.5/intake/catalog/zarr.py000066400000000000000000000065541416666122400172340ustar00rootroot00000000000000from .base import Catalog from .local import LocalCatalogEntry from ..source import register_driver class ZarrGroupCatalog(Catalog): """A catalog of the members of a Zarr group.""" version = '0.0.1' container = 'catalog' partition_access = None name = 'zarr_cat' def __init__(self, urlpath, storage_options=None, component=None, metadata=None, consolidated=False, name=None): """ Parameters ---------- urlpath : str Location of data file(s), possibly including protocol information storage_options : dict, optional Passed on to storage backend for remote files component : str, optional If None, build a catalog from the root group. If given, build the catalog from the group at this location in the hierarchy. metadata : dict, optional Catalog metadata. If not provided, will be populated from Zarr group attributes. consolidated : bool, optional If True, assume Zarr metadata has been consolidated. """ self._urlpath = urlpath self._storage_options = storage_options or {} self._component = component self._consolidated = consolidated self._grp = None self.name = name super().__init__(metadata=metadata) def _load(self): import zarr if self._grp is None: # obtain the zarr root group if isinstance(self._urlpath, zarr.hierarchy.Group): # use already-opened group, allows support for nested groups # as catalogs root = self._urlpath else: # obtain store if isinstance(self._urlpath, str): # open store from url from fsspec import get_mapper store = get_mapper(self._urlpath, **self._storage_options) else: # assume store passed directly store = self._urlpath # open root group if self._consolidated: # use consolidated metadata root = zarr.open_consolidated(store=store, mode='r') else: root = zarr.open_group(store=store, mode='r') # deal with component path if self._component is None: self._grp = root else: self._grp = root[self._component] # use zarr attributes as metadata self.metadata.update(self._grp.attrs.asdict()) # build catalog entries entries = {} for k, v in self._grp.items(): if isinstance(v, zarr.core.Array): entry = LocalCatalogEntry(name=k, description='', driver='ndzarr', args=dict(urlpath=v), catalog=self) else: entry = LocalCatalogEntry(name=k, description='', driver='zarr_cat', args=dict(urlpath=v)) entries[k] = entry self._entries = entries def to_zarr(self): return self._grp intake-0.6.5/intake/cli/000077500000000000000000000000001416666122400150275ustar00rootroot00000000000000intake-0.6.5/intake/cli/__init__.py000066400000000000000000000006641416666122400171460ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os if os.getenv("COVERAGE_PROCESS_START", False): import coverage coverage.process_startup() intake-0.6.5/intake/cli/bootstrap.py000066400000000000000000000041051416666122400174160ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' Provide a ``main`` function to run intake commands. ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports import argparse # External imports # Intake imports from intake import __version__ from intake.cli.util import die, nice_join #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- def main(description, subcommands, argv): ''' Execute an intake command. Args: description (str) : A description for this top-level command subcommands (seq[SubCommand]) : A list of subcommands to configure for argparse argv (seq[str]) : A list of command line arguments to process Returns: None ''' if len(argv) == 1: die("ERROR: Must specify subcommand, one of: %s" % nice_join(x.name for x in subcommands)) parser = argparse.ArgumentParser( prog=argv[0], description=description, epilog="See ' --help' to read about a specific subcommand.") parser.add_argument('-v', '--version', action='version', version=__version__) subs = parser.add_subparsers(help="Sub-commands") for cls in subcommands: subparser = subs.add_parser(cls.name, help=cls.__doc__.strip()) subcommand = cls(parser=subparser) subparser.set_defaults(invoke=subcommand.invoke) args = parser.parse_args(argv[1:]) try: return args.invoke(args) or 0 # convert None to 0 except Exception as e: die("ERROR: " + repr(e)) intake-0.6.5/intake/cli/client/000077500000000000000000000000001416666122400163055ustar00rootroot00000000000000intake-0.6.5/intake/cli/client/__init__.py000066400000000000000000000005061416666122400204170ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/cli/client/__main__.py000066400000000000000000000020671416666122400204040ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #---------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports import sys # External imports # Intake imports from . import subcommands import logging log = logging.getLogger('intake') #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- def main(argv=None): """ Execute the "intake" command line program. """ from intake.cli.bootstrap import main as _main return _main('Intake Catalog CLI', subcommands.all, argv or sys.argv) if __name__ == "__main__": sys.exit(main(sys.argv)) intake-0.6.5/intake/cli/client/subcommands/000077500000000000000000000000001416666122400206205ustar00rootroot00000000000000intake-0.6.5/intake/cli/client/subcommands/__init__.py000066400000000000000000000013311416666122400227270ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from .cache import Cache from .config import Config from .describe import Describe from .discover import Discover from .example import Example from .exists import Exists from .get import Get from .info import Info from .list import List from .precache import Precache from .drivers import Drivers all = (Cache, Config, Describe, Discover, Example, Exists, Get, Info, List, Precache, Drivers) intake-0.6.5/intake/cli/client/subcommands/cache.py000066400000000000000000000051661416666122400222450ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import yaml from intake.cli.util import Subcommand import logging log = logging.getLogger(__name__) class Cache(Subcommand): """ Locally cached files """ name = "cache" def initialize(self): sub_parser = self.parser.add_subparsers() cache_list = sub_parser.add_parser('list-keys', help='List keys currently stored') cache_list.set_defaults(invoke=self._list_keys) cache_files = sub_parser.add_parser('list-files', help='List files for a give key') cache_files.add_argument('key', type=str, help='Key to list files for') cache_files.set_defaults(invoke=self._list_files) cache_rm = sub_parser.add_parser('clear', help='Clear a key from the cache') cache_rm.add_argument('key', type=str, help='Key to remove (all, if omitted)', nargs='?') cache_rm.set_defaults(invoke=self._clear) cache_du = sub_parser.add_parser('usage', help='Print usage information') cache_du.set_defaults(invoke=self._usage) def invoke(self, args): self.parser.print_help() def _clear(self, args): from intake.source.cache import BaseCache if args.key is None: BaseCache(None, None).clear_all() else: BaseCache(None, None).clear_cache(args.key) def _list_keys(self, args): from intake.source.cache import CacheMetadata md = CacheMetadata() print(yaml.dump(list(md), default_flow_style=False)) def _list_files(self, args): from intake.source.cache import CacheMetadata md = CacheMetadata() print(yaml.dump(md[args.key], default_flow_style=False)) def _usage(self, args): from intake.config import conf total_size = 0 for dirpath, dirnames, filenames in os.walk( os.path.join(conf['cache_dir'], 'cache')): for f in filenames: fp = os.path.join(dirpath, f) total_size += os.path.getsize(fp) for unit in ['', 'k', 'M', 'G', 'T', 'P', 'E', 'Z']: # "human" # https://gist.github.com/cbwar/d2dfbc19b140bd599daccbe0fe925597 if abs(total_size) < 1024.0: s = "%3.1f %s" % (total_size, unit) break total_size /= 1024.0 print("%s: %s" % (conf['cache_dir'], s)) intake-0.6.5/intake/cli/client/subcommands/config.py000066400000000000000000000050621416666122400224420ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports import os # External imports import yaml # Intake imports from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Config(Subcommand): ''' Configuration functions ''' name = "config" def initialize(self): sub_parser = self.parser.add_subparsers() list = sub_parser.add_parser('list-defaults', help='Show all builtin defaults') list.set_defaults(invoke=self._list_defaults) conf_reset = sub_parser.add_parser('reset', help='Set config file to defaults') conf_reset.set_defaults(invoke=self._reset) conf_info = sub_parser.add_parser('info', help='Show config settings') conf_info.set_defaults(invoke=self._info) conf_get = sub_parser.add_parser('get', help='Get current config, specific key or all') conf_get.add_argument('key', type=str, help='Key in config dictionary', nargs='?') conf_get.set_defaults(invoke=self._get) def invoke(self, args): self.parser.print_help() def _get(self, args): from intake.config import conf if args.key: print(conf[args.key]) else: print(yaml.dump(conf, default_flow_style=False)) def _info(self, args): from intake.config import cfile if 'INTAKE_CONF_DIR' in os.environ: print('INTAKE_CONF_DIR: ', os.environ['INTAKE_CONF_DIR']) if 'INTAKE_CONF_FILE' in os.environ: print('INTAKE_CONF_FILE: ', os.environ['INTAKE_CONF_FILE']) ex = "" if os.path.isfile(cfile()) else "(does not exist)" print('Using: ', cfile(), ex) def _list_defaults(self, args): from intake.config import defaults print(yaml.dump(defaults, default_flow_style=False)) def _reset(self, args): from intake.config import reset_conf, save_conf reset_conf() save_conf() intake-0.6.5/intake/cli/client/subcommands/describe.py000066400000000000000000000024041416666122400227520ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import print_entry_info, Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Describe(Subcommand): ''' Describe a catalog entry. ''' name = "describe" def initialize(self): self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') self.parser.add_argument('name', metavar='NAME', type=str, help='Catalog name') def invoke(self, args): catalog = open_catalog(args.uri) print_entry_info(catalog, args.name) intake-0.6.5/intake/cli/client/subcommands/discover.py000066400000000000000000000024121416666122400230070ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Discover(Subcommand): ''' Discover a catalog entry ''' name = "discover" def initialize(self): self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') self.parser.add_argument('name', metavar='NAME', type=str, help='Catalog name') def invoke(self, args): catalog = open_catalog(args.uri) with catalog[args.name] as f: print(f.discover()) intake-0.6.5/intake/cli/client/subcommands/drivers.py000066400000000000000000000100201416666122400226410ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- """ CLI for listing, enabling, disabling intake drivers """ # ----------------------------------------------------------------------------- # Imports # ----------------------------------------------------------------------------- # Standard library imports import inspect import sys # External imports # Intake imports from intake import __version__ from intake.cli.util import Subcommand from intake.source.discovery import autodiscover, autodiscover_all, enable, disable from intake.config import confdir import intake import logging log = logging.getLogger(__name__) # ----------------------------------------------------------------------------- # API # ----------------------------------------------------------------------------- class Drivers(Subcommand): """ List, enable, and disable intake drivers. """ name = "drivers" def initialize(self): sub_parser = self.parser.add_subparsers() list = sub_parser.add_parser( 'list', help='Show all intake drivers, whether enabled, disabled, ' 'or directly inserted into the registry' ) list.add_argument( '-v', '--verbose', action='store_true', help='Show module path.') list.set_defaults(invoke=self._list) enable = sub_parser.add_parser('enable', help='Enable an intake driver.') enable.add_argument('name', type=str, help='Driver name') enable.add_argument('driver', type=str, help='Module path and class name, as in ' 'package.submodule.ClassName') enable.set_defaults(invoke=self._enable) disable = sub_parser.add_parser( 'disable', help='Disable one or more intake drivers.') disable.add_argument('names', type=str, help='Driver names', nargs='+') disable.set_defaults(invoke=self._disable) def invoke(self, args): self.parser.print_help() def _list(self, args): if args.verbose: fmt = '{name:<30}{cls.__module__}.{cls.__name__} @ {file}' else: fmt = '{name:<30}{cls.__module__}.{cls.__name__}' drivers_by_name = autodiscover() # dict mapping name to driver all_drivers = autodiscover_all() # listof (name, driver) direct = {} for k in intake.registry: if k not in all_drivers and k not in drivers_by_name: try: direct[k] = intake.registry[k] except ImportError: pass print("Direct:", file=sys.stderr) none = True for name in sorted(direct, key=str): cls = direct[name] print(fmt.format(name=str(name), cls=cls, file=inspect.getfile(cls)), file=sys.stderr) none = False if none: print("") print("\nEnabled:", file=sys.stderr) none = True for name in sorted(drivers_by_name, key=str): cls = drivers_by_name[name] print(fmt.format(name=str(name), cls=cls, file=inspect.getfile(cls)), file=sys.stderr) none = False if none: print("") print("\nNot enabled:", file=sys.stderr) none = True for name, cls in sorted(all_drivers, key=lambda x: str(x[0])): if drivers_by_name.get(name, None) is not cls: print(fmt.format(name=str(name), cls=cls, file=inspect.getfile(cls)), file=sys.stderr) none = False if none: print("") def _enable(self, args): enable(args.name, args.driver) def _disable(self, args): for name in args.names: disable(name) intake-0.6.5/intake/cli/client/subcommands/example.py000066400000000000000000000035531416666122400226330ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports from os.path import dirname, exists, join import os, shutil # External imports # Intake imports from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Example(Subcommand): ''' Create example catalog ''' name = "example" def initialize(self): pass def invoke(self, args): print('Creating example catalog...') files = ['us_states.yml', 'states_1.csv', 'states_2.csv'] for filename in files: if exists(filename): print('Cannot create example catalog in current directory.\n' '%s already exists.' % filename) return 1 src_dir = join(dirname(__file__), '..', '..', 'sample') for filename in files: src_name = join(src_dir, filename) dest_name = filename dest_dir = dirname(filename) print(' Writing %s' % filename) if dest_dir != '' and not exists(dest_dir): os.mkdir(dest_dir) shutil.copyfile(src_name, dest_name) print('''\nTo load the catalog: >>> import intake >>> cat = intake.open_catalog('%s') ''' % files[0]) intake-0.6.5/intake/cli/client/subcommands/exists.py000066400000000000000000000023661416666122400225200ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Exists(Subcommand): ''' Check for the existence of a catalog entry ''' name = "exists" def initialize(self): self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') self.parser.add_argument('name', metavar='NAME', type=str, help='Catalog name') def invoke(self, args): catalog = open_catalog(args.uri) print(args.name in catalog) intake-0.6.5/intake/cli/client/subcommands/get.py000066400000000000000000000023671416666122400217610ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Get(Subcommand): ''' Get a catalog entry ''' name = "get" def initialize(self): self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') self.parser.add_argument('name', metavar='NAME', type=str, help='Catalog name') def invoke(self, args): catalog = open_catalog(args.uri) with catalog[args.name] as f: print(f.read()) intake-0.6.5/intake/cli/client/subcommands/info.py000066400000000000000000000034161416666122400221310ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports from importlib import import_module import sys # External imports # Intake imports from intake import __version__ from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Info(Subcommand): ''' Display runtime information related to Intake ''' name = "info" def initialize(self): pass def invoke(self, args): print("Python version : %s" % sys.version.split('\n')[0]) print("IPython version : %s" % _version_from_module('IPython')) print("Tornado version : %s" % _version_from_module('tornado', 'version')) print("Dask version : %s" % _version_from_module('dask')) print("Pandas version : %s" % _version_from_module('pandas')) print("Numpy version : %s" % _version_from_module('numpy')) print("Intake version : %s" % __version__) def _version_from_module(modname, version_attr="__version__"): try: mod = import_module(modname) return getattr(mod, version_attr) except ImportError: return "(not installed)" intake-0.6.5/intake/cli/client/subcommands/list.py000066400000000000000000000025201416666122400221440ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import print_entry_info, Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class List(Subcommand): ''' Show catalog listing ''' name = "list" def initialize(self): self.parser.add_argument('--full', action='store_true') self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') def invoke(self, args): catalog = open_catalog(args.uri) for entry in list(catalog): if args.full: print_entry_info(catalog, entry) else: print(entry) intake-0.6.5/intake/cli/client/subcommands/precache.py000066400000000000000000000026651416666122400227550ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Intake imports from intake import open_catalog from intake.cli.util import Subcommand #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- class Precache(Subcommand): ''' Populate caching for catalog entries that define caching. ''' name = "precache" def initialize(self): self.parser.add_argument('uri', metavar='URI', type=str, help='Catalog URI') def invoke(self, args): catalog = open_catalog(args.uri) for entry in list(catalog): try: s = catalog[entry] s.read() if s.cache: print("Caching for entry %s" % entry) except Exception as e: print("Skipping {} due to {}".format(entry, e)) intake-0.6.5/intake/cli/client/tests/000077500000000000000000000000001416666122400174475ustar00rootroot00000000000000intake-0.6.5/intake/cli/client/tests/__init__.py000066400000000000000000000005061416666122400215610ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/cli/client/tests/catalog1.yml000066400000000000000000000015601416666122400216670ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} entry1: description: entry1 full metadata: foo: 'bar' bar: [1, 2, 3] driver: csv # Default direct_access is "forbid" by default args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' entry1_part: description: entry1 part parameters: # User defined parameters part: description: part of filename type: str default: "1" allowed: ["1", "2"] metadata: foo: 'baz' bar: [2, 4, 6] driver: csv direct_access: "allow" args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' intake-0.6.5/intake/cli/client/tests/entry1_1.csv000066400000000000000000000001031416666122400216200ustar00rootroot00000000000000name,score,rank Alice1,100.5,1 Bob1,50.3,2 Charlie1,25,3 Eve1,25,3 intake-0.6.5/intake/cli/client/tests/entry1_2.csv000066400000000000000000000001031416666122400216210ustar00rootroot00000000000000name,score,rank Alice2,100.5,1 Bob2,50.3,2 Charlie2,25,3 Eve2,25,3 intake-0.6.5/intake/cli/client/tests/test_cache.py000066400000000000000000000061201416666122400221220ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import intake import intake.config from intake.source.cache import CacheMetadata import os import pytest import subprocess import sys from intake.utils import make_path_posix cpath = make_path_posix( os.path.abspath( os.path.join(os.path.dirname(__file__), '..', '..', '..', 'catalog', 'tests', 'catalog_caching.yml'))) @pytest.mark.skipif(sys.version_info[0] == 2, reason="Py2 exists early on argparse") def test_help(temp_cache, env): out = subprocess.check_output(['intake', 'cache'], env=env, universal_newlines=True) assert out.startswith('usage: ') out2 = subprocess.check_output(['intake', 'cache', '-h'], env=env, universal_newlines=True) assert out2 == out def test_list_keys(temp_cache, env): out = subprocess.check_output(['intake', 'cache', 'list-keys'], env=env, universal_newlines=True) assert out.startswith('[]') # empty cache cat = intake.open_catalog(cpath) cat.test_cache.read() out = subprocess.check_output(['intake', 'cache', 'list-keys'], env=env, universal_newlines=True) assert 'states.csv' in out def test_precache(temp_cache, env): out = subprocess.check_output(['intake', 'cache', 'list-keys'], env=env, universal_newlines=True) assert out.startswith('[]') # empty cache out = subprocess.check_output(['intake', 'precache', cpath], env=env, universal_newlines=True) assert out.count('Caching for entry') > 1 out = subprocess.check_output(['intake', 'cache', 'list-keys'], env=env, universal_newlines=True) assert 'states.csv' in out assert 'small.npy' in out def test_clear_all(temp_cache, env): cat = intake.open_catalog(cpath) cat.test_cache.read() md = CacheMetadata() assert len(md) == 1 assert 'states' in list(md)[0] subprocess.call(['intake', 'cache', 'clear'], env=env) md = CacheMetadata() assert len(md) == 0 def test_clear_one(temp_cache, env): cat = intake.open_catalog(cpath) cat.test_cache.read() cat.arr_cache.read() md = CacheMetadata() keys = list(md) assert len(keys) == 2 subprocess.call(['intake', 'cache', 'clear', keys[0]], env=env) md = CacheMetadata() assert len(md) == 1 assert list(md)[0] == keys[1] def test_usage(temp_cache, env): from intake.source.cache import BaseCache BaseCache(None, None).clear_all() out = subprocess.check_output(['intake', 'cache', 'usage'], env=env, universal_newlines=True) assert '0.0' in out # empty! intake-0.6.5/intake/cli/client/tests/test_conf.py000066400000000000000000000045031416666122400220070ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import posixpath import subprocess def test_reset(env): subprocess.call(['intake', 'config', 'reset'], env=env, universal_newlines=True) confdir = env['INTAKE_CONF_DIR'] fn = posixpath.join(confdir, 'conf.yaml') assert os.path.isfile(fn) txt = open(fn).read() assert 'port: 5000' in txt def test_info(tempdir): # if envs is used, conf file will already exist env = os.environ.copy() env["INTAKE_CONF_DIR"] = confdir = tempdir out = subprocess.check_output(['intake', 'config', 'info'], env=env, universal_newlines=True) fn = posixpath.join(confdir, 'conf.yaml') assert fn in out assert 'INTAKE_CONF_DIR' in out assert 'INTAKE_CONF_FILE' not in out assert "(does not exist)" in out with open(fn, 'w') as f: f.write('port: 5000') out = subprocess.check_output(['intake', 'config', 'info'], env=env, universal_newlines=True) assert "(does not exist)" not in out def test_defaults(): out = subprocess.check_output(['intake', 'config', 'list-defaults'], universal_newlines=True) assert 'port: 5000' in out def test_get(env): confdir = env['INTAKE_CONF_DIR'] fn = posixpath.join(confdir, 'conf.yaml') with open(fn, 'w') as f: f.write('port: 5001') out = subprocess.check_output(['intake', 'config', 'get'], env=env, universal_newlines=True) assert 'port: 5001' in out out = subprocess.check_output(['intake', 'config', 'get', 'port'], env=env, universal_newlines=True) assert out.startswith('5001') def test_log_level(): env = os.environ.copy() env['INTAKE_LOG_LEVEL'] = 'DEBUG' out = subprocess.check_output(['intake', 'config', 'info'], stderr=subprocess.STDOUT, env=env, universal_newlines=True) assert "logger set to debug" in out intake-0.6.5/intake/cli/client/tests/test_local_integration.py000066400000000000000000000106201416666122400245540ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os.path import subprocess import tempfile import shutil import pytest from intake.util_tests import ex TEST_CATALOG_YAML = os.path.join(os.path.dirname(__file__), 'catalog1.yml') def test_list(): cmd = [ex, '-m', 'intake.cli.client', 'list', TEST_CATALOG_YAML] process = subprocess.Popen(cmd, stdout=subprocess.PIPE) out, _ = process.communicate() out = out.decode('utf-8') assert len(out.strip().split('\n')) == 3 assert "entry1" in out assert "entry1_part" in out assert "use_example1" in out def test_full_list(): cmd = [ex, '-m', 'intake.cli.client', 'list', '--full', TEST_CATALOG_YAML] process = subprocess.Popen(cmd, stdout=subprocess.PIPE) out, _ = process.communicate() out = out.decode('utf-8') assert "[entry1]" in out assert "[entry1_part]" in out assert "[use_example1]" in out def test_describe(): cmd = [ex, '-m', 'intake.cli.client', 'describe', TEST_CATALOG_YAML, 'entry1'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) out, _ = process.communicate() expected = """\ [entry1] args={'urlpath': '{{ CATALOG_DIR }}/entry1_*.csv'} [entry1] container=dataframe [entry1] description=entry1 full [entry1] direct_access=forbid [entry1] driver=['csv'] [entry1] metadata={'foo': 'bar', 'bar': [1, 2, 3]} [entry1] name=entry1 [entry1] plugin=['csv'] [entry1] user_parameters=[] """ assert out == expected def test_exists_pass(): cmd = [ex, '-m', 'intake.cli.client', 'exists', TEST_CATALOG_YAML, 'entry1'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) out, _ = process.communicate() assert out == "True\n" def test_exists_fail(): cmd = [ex, '-m', 'intake.cli.client', 'exists', TEST_CATALOG_YAML, 'entry2'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) out, _ = process.communicate() assert out == "False\n" def test_discover(): cmd = [ex, '-m', 'intake.cli.client', 'discover', TEST_CATALOG_YAML, 'entry1'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) out, _ = process.communicate() assert "'dtype':" in out assert "'metadata':" in out assert "'npartitions':" in out assert "'shape':" in out def test_get_pass(): cmd = [ex, '-m', 'intake.cli.client', 'get', TEST_CATALOG_YAML, 'entry1'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) out, _ = process.communicate() assert 'Charlie1 25.0 3' in out assert 'Eve2 25.0 3' in out def test_get_fail(): cmd = [ex, '-m', 'intake.cli.client', 'get', TEST_CATALOG_YAML, 'entry2'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) _, err = process.communicate() assert "KeyError('entry2'" in err @pytest.fixture def temp_current_working_directory(): prev_cwd = os.getcwd() dirname = tempfile.mkdtemp() os.chdir(dirname) yield dirname os.chdir(prev_cwd) shutil.rmtree(dirname) def test_example(temp_current_working_directory): cmd = [ex, '-m', 'intake.cli.client', 'example'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) stdout, stderr = process.communicate() assert process.returncode == 0 assert os.path.exists('us_states.yml') assert os.path.exists('states_1.csv') assert os.path.exists('states_2.csv') # should fail second time due to existing files cmd = [ex, '-m', 'intake.cli.client', 'example'] process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) _, err = process.communicate() assert process.returncode > 0 intake-0.6.5/intake/cli/sample/000077500000000000000000000000001416666122400163105ustar00rootroot00000000000000intake-0.6.5/intake/cli/sample/states_1.csv000066400000000000000000000346171416666122400205630ustar00rootroot00000000000000"state","slug","code","nickname","website","admission_date","admission_number","capital_city","capital_url","population","population_rank","constitution_url","state_flag_url","state_seal_url","map_image_url","landscape_background_url","skyline_background_url","twitter_url","facebook_url" "Alabama","alabama","AL","Yellowhammer State","http://www.alabama.gov","1819-12-14",22,"Montgomery","http://www.montgomeryal.gov",4833722,23,"http://alisondb.legislature.state.al.us/alison/default.aspx","https://cdn.civil.services/us-states/flags/alabama-large.png","https://cdn.civil.services/us-states/seals/alabama-large.png","https://cdn.civil.services/us-states/maps/alabama-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/alabama.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/alabama.jpg","https://twitter.com/alabamagov","https://www.facebook.com/alabamagov" "Alaska","alaska","AK","The Last Frontier","http://alaska.gov","1959-01-03",49,"Juneau","http://www.juneau.org",735132,47,"http://www.legis.state.ak.us/basis/folioproxy.asp?url=http://wwwjnu01.legis.state.ak.us/cgi-bin/folioisa.dll/acontxt/query=*/doc/{t1}?","https://cdn.civil.services/us-states/flags/alaska-large.png","https://cdn.civil.services/us-states/seals/alaska-large.png","https://cdn.civil.services/us-states/maps/alaska-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/alaska.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/alaska.jpg","https://twitter.com/alaska","https://www.facebook.com/AlaskaLocalGovernments" "Arizona","arizona","AZ","The Grand Canyon State","https://az.gov","1912-02-14",48,"Phoenix","https://www.phoenix.gov",6626624,15,"http://www.azleg.gov/Constitution.asp","https://cdn.civil.services/us-states/flags/arizona-large.png","https://cdn.civil.services/us-states/seals/arizona-large.png","https://cdn.civil.services/us-states/maps/arizona-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/arizona.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/arizona.jpg",, "Arkansas","arkansas","AR","The Natural State","http://arkansas.gov","1836-06-15",25,"Little Rock","http://www.littlerock.org",2959373,32,"http://www.arkleg.state.ar.us/assembly/Summary/ArkansasConstitution1874.pdf","https://cdn.civil.services/us-states/flags/arkansas-large.png","https://cdn.civil.services/us-states/seals/arkansas-large.png","https://cdn.civil.services/us-states/maps/arkansas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/arkansas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/arkansas.jpg","https://twitter.com/arkansasgov","https://www.facebook.com/Arkansas.gov" "California","california","CA","Golden State","http://www.ca.gov","1850-09-09",31,"Sacramento","http://www.cityofsacramento.org",38332521,1,"http://www.leginfo.ca.gov/const-toc.html","https://cdn.civil.services/us-states/flags/california-large.png","https://cdn.civil.services/us-states/seals/california-large.png","https://cdn.civil.services/us-states/maps/california-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/california.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/california.jpg","https://twitter.com/cagovernment", "Colorado","colorado","CO","The Centennial State","https://www.colorado.gov","1876-08-01",38,"Denver","http://www.denvergov.org",5268367,22,"https://www.colorado.gov/pacific/archives/government","https://cdn.civil.services/us-states/flags/colorado-large.png","https://cdn.civil.services/us-states/seals/colorado-large.png","https://cdn.civil.services/us-states/maps/colorado-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/colorado.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/colorado.jpg","https://twitter.com/coloradogov","https://www.facebook.com/Colorado.gov" "Connecticut","connecticut","CT","Constitution State","http://www.ct.gov","1788-01-09",5,"Hartford","http://www.hartford.gov",3596080,29,"http://www.ct.gov/sots/cwp/view.asp?a=3188&q=392288","https://cdn.civil.services/us-states/flags/connecticut-large.png","https://cdn.civil.services/us-states/seals/connecticut-large.png","https://cdn.civil.services/us-states/maps/connecticut-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/connecticut.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/connecticut.jpg",, "Delaware","delaware","DE","The First State / The Diamond State","http://delaware.gov","1787-12-07",1,"Dover","http://www.cityofdover.com",925749,45,"http://www.state.de.us/facts/constit/welcome.htm","https://cdn.civil.services/us-states/flags/delaware-large.png","https://cdn.civil.services/us-states/seals/delaware-large.png","https://cdn.civil.services/us-states/maps/delaware-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/delaware.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/delaware.jpg","https://twitter.com/delaware_gov","https://www.facebook.com/delaware.gov" "Florida","florida","FL","Sunshine State","http://www.myflorida.com","1845-03-03",27,"Tallahassee","https://www.talgov.com/Main/Home.aspx",19552860,4,"http://www.leg.state.fl.us/Statutes/index.cfm","https://cdn.civil.services/us-states/flags/florida-large.png","https://cdn.civil.services/us-states/seals/florida-large.png","https://cdn.civil.services/us-states/maps/florida-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/florida.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/florida.jpg",, "Georgia","georgia","GA","Peach State","http://georgia.gov","1788-01-02",4,"Atlanta","http://www.atlantaga.gov",9992167,8,"http://sos.ga.gov/admin/files/Constitution_2013_Final_Printed.pdf","https://cdn.civil.services/us-states/flags/georgia-large.png","https://cdn.civil.services/us-states/seals/georgia-large.png","https://cdn.civil.services/us-states/maps/georgia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/georgia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/georgia.jpg","http://twitter.com/georgiagov","http://www.facebook.com/pages/georgiagov/29760668054" "Hawaii","hawaii","HI","Aloha State","https://www.ehawaii.gov","1959-08-21",50,"Honolulu","http://www.co.honolulu.hi.us",1404054,40,"http://lrbhawaii.org/con","https://cdn.civil.services/us-states/flags/hawaii-large.png","https://cdn.civil.services/us-states/seals/hawaii-large.png","https://cdn.civil.services/us-states/maps/hawaii-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/hawaii.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/hawaii.jpg","https://twitter.com/ehawaiigov","https://www.facebook.com/ehawaii.gov" "Idaho","idaho","ID","Gem State","https://www.idaho.gov","1890-07-03",43,"Boise","http://www.cityofboise.org",1612136,39,"http://www.legislature.idaho.gov/idstat/IC/Title003.htm","https://cdn.civil.services/us-states/flags/idaho-large.png","https://cdn.civil.services/us-states/seals/idaho-large.png","https://cdn.civil.services/us-states/maps/idaho-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/idaho.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/idaho.jpg","https://twitter.com/IDAHOgov", "Illinois","illinois","IL","Prairie State","https://www.illinois.gov","1818-12-03",21,"Springfield","http://www.springfield.il.us",12882135,5,"http://www.ilga.gov/commission/lrb/conmain.htm","https://cdn.civil.services/us-states/flags/illinois-large.png","https://cdn.civil.services/us-states/seals/illinois-large.png","https://cdn.civil.services/us-states/maps/illinois-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/illinois.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/illinois.jpg",, "Indiana","indiana","IN","Hoosier State","http://www.in.gov","1816-12-11",19,"Indianapolis","http://www.indy.gov/Pages/Home.aspx",6570902,16,"http://www.law.indiana.edu/uslawdocs/inconst.html","https://cdn.civil.services/us-states/flags/indiana-large.png","https://cdn.civil.services/us-states/seals/indiana-large.png","https://cdn.civil.services/us-states/maps/indiana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/indiana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/indiana.jpg","https://twitter.com/in_gov","https://www.facebook.com/IndianaGovernment" "Iowa","iowa","IA","Hawkeye State","https://www.iowa.gov","1846-12-28",29,"Des Moines","http://www.ci.des-moines.ia.us",3090416,30,"http://publications.iowa.gov/135/1/history/7-7.html","https://cdn.civil.services/us-states/flags/iowa-large.png","https://cdn.civil.services/us-states/seals/iowa-large.png","https://cdn.civil.services/us-states/maps/iowa-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/iowa.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/iowa.jpg","https://twitter.com/IAGOVTWEETS", "Kansas","kansas","KS","Sunflower State","https://www.kansas.gov","1861-01-29",34,"Topeka","http://www.topeka.org",2893957,34,"https://kslib.info/405/Kansas-Constitution","https://cdn.civil.services/us-states/flags/kansas-large.png","https://cdn.civil.services/us-states/seals/kansas-large.png","https://cdn.civil.services/us-states/maps/kansas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/kansas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/kansas.jpg","http://www.twitter.com/ksgovernment","http://www.facebook.com/pages/Topeka-KS/Kansasgov-Kansas-Government-Online/52068474220" "Kentucky","kentucky","KY","Bluegrass State","http://kentucky.gov","1792-06-01",15,"Frankfort","http://frankfort.ky.gov",4395295,26,"http://www.lrc.state.ky.us/Legresou/Constitu/intro.htm","https://cdn.civil.services/us-states/flags/kentucky-large.png","https://cdn.civil.services/us-states/seals/kentucky-large.png","https://cdn.civil.services/us-states/maps/kentucky-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/kentucky.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/kentucky.jpg","https://twitter.com/kygov","https://www.facebook.com/kygov" "Louisiana","louisiana","LA","Pelican State","http://louisiana.gov","1812-04-30",18,"Baton Rouge","http://brgov.com",4625470,25,"http://senate.legis.state.la.us/Documents/Constitution","https://cdn.civil.services/us-states/flags/louisiana-large.png","https://cdn.civil.services/us-states/seals/louisiana-large.png","https://cdn.civil.services/us-states/maps/louisiana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/louisiana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/louisiana.jpg",, "Maine","maine","ME","Pine Tree State","http://www.maine.gov","1820-03-15",23,"Augusta","http://www.augustamaine.gov",1328302,41,"http://www.maine.gov/legis/const","https://cdn.civil.services/us-states/flags/maine-large.png","https://cdn.civil.services/us-states/seals/maine-large.png","https://cdn.civil.services/us-states/maps/maine-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/maine.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/maine.jpg","https://twitter.com/mainegov_news","http://www.facebook.com/pages/Augusta-ME/Mainegov/98519328240" "Maryland","maryland","MD","Old Line State","http://www.maryland.gov","1788-04-28",7,"Annapolis","http://www.annapolis.gov",5928814,19,"http://msa.maryland.gov/msa/mdmanual/43const/html/const.html","https://cdn.civil.services/us-states/flags/maryland-large.png","https://cdn.civil.services/us-states/seals/maryland-large.png","https://cdn.civil.services/us-states/maps/maryland-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/maryland.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/maryland.jpg","https://twitter.com/statemaryland","https://www.facebook.com/statemaryland" "Massachusetts","massachusetts","MA","Bay State","http://www.mass.gov","1788-02-06",6,"Boston","http://www.ci.boston.ma.us",6692824,14,"http://www.state.ma.us/legis/const.htm","https://cdn.civil.services/us-states/flags/massachusetts-large.png","https://cdn.civil.services/us-states/seals/massachusetts-large.png","https://cdn.civil.services/us-states/maps/massachusetts-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/massachusetts.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/massachusetts.jpg","http://twitter.com/massgov","https://www.facebook.com/massgov" "Michigan","michigan","MI","Wolverine State / Great Lakes State","http://www.michigan.gov","1837-01-26",26,"Lansing","http://cityoflansingmi.com",9895622,9,"http://www.legislature.mi.gov/(S(hrowl12tg05hemnnkidim1jb))/mileg.aspx?page=GetObject&objectname=mcl-Constitution","https://cdn.civil.services/us-states/flags/michigan-large.png","https://cdn.civil.services/us-states/seals/michigan-large.png","https://cdn.civil.services/us-states/maps/michigan-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/michigan.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/michigan.jpg","https://twitter.com/migov","https://www.facebook.com/MIgovernment" "Minnesota","minnesota","MN","North Star State / Land of 10,000 Lakes","https://mn.gov","1858-05-11",32,"Saint Paul","http://www.stpaul.gov",5420380,21,"http://www.house.leg.state.mn.us/cco/rules/mncon/preamble.htm","https://cdn.civil.services/us-states/flags/minnesota-large.png","https://cdn.civil.services/us-states/seals/minnesota-large.png","https://cdn.civil.services/us-states/maps/minnesota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/minnesota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/minnesota.jpg",, "Mississippi","mississippi","MS","Magnolia State","http://www.ms.gov","1817-12-10",20,"Jackson","http://www.city.jackson.ms.us",2991207,31,"http://law.justia.com/constitution/mississippi","https://cdn.civil.services/us-states/flags/mississippi-large.png","https://cdn.civil.services/us-states/seals/mississippi-large.png","https://cdn.civil.services/us-states/maps/mississippi-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/mississippi.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/mississippi.jpg","https://twitter.com/msdotgov","https://www.facebook.com/msdotgov" intake-0.6.5/intake/cli/sample/states_2.csv000066400000000000000000000364501416666122400205610ustar00rootroot00000000000000"state","slug","code","nickname","website","admission_date","admission_number","capital_city","capital_url","population","population_rank","constitution_url","state_flag_url","state_seal_url","map_image_url","landscape_background_url","skyline_background_url","twitter_url","facebook_url" "Missouri","missouri","MO","Show Me State","https://www.mo.gov","1821-08-10",24,"Jefferson City","http://www.jeffcitymo.org",6044171,18,"http://www.moga.mo.gov/mostatutes/moconstn.html","https://cdn.civil.services/us-states/flags/missouri-large.png","https://cdn.civil.services/us-states/seals/missouri-large.png","https://cdn.civil.services/us-states/maps/missouri-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/missouri.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/missouri.jpg","https://twitter.com/MoGov","https://www.facebook.com/mogov" "Montana","montana","MT","Treasure State","http://mt.gov","1889-11-08",41,"Helena","http://www.ci.helena.mt.us",1015165,44,"http://courts.mt.gov/content/library/docs/72constit.pdf","https://cdn.civil.services/us-states/flags/montana-large.png","https://cdn.civil.services/us-states/seals/montana-large.png","https://cdn.civil.services/us-states/maps/montana-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/montana.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/montana.jpg",, "Nebraska","nebraska","NE","Cornhusker State","http://www.nebraska.gov","1867-03-01",37,"Lincoln","http://lincoln.ne.gov",1868516,37,"http://www.state.ne.us/legislative/statutes/C","https://cdn.civil.services/us-states/flags/nebraska-large.png","https://cdn.civil.services/us-states/seals/nebraska-large.png","https://cdn.civil.services/us-states/maps/nebraska-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/nebraska.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/nebraska.jpg","https://twitter.com/Nebraskagov","https://www.facebook.com/nebraska.gov" "Nevada","nevada","NV","The Silver State","http://nv.gov","1864-10-31",36,"Carson City","http://www.carson.org",2790136,35,"http://www.leg.state.nv.us/Const/NvConst.html","https://cdn.civil.services/us-states/flags/nevada-large.png","https://cdn.civil.services/us-states/seals/nevada-large.png","https://cdn.civil.services/us-states/maps/nevada-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/nevada.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/nevada.jpg",, "New Hampshire","new-hampshire","NH","Granite State","https://www.nh.gov","1788-06-21",9,"Concord","http://www.concordnh.gov",1323459,42,"http://www.state.nh.us/constitution/constitution.html","https://cdn.civil.services/us-states/flags/new-hampshire-large.png","https://cdn.civil.services/us-states/seals/new-hampshire-large.png","https://cdn.civil.services/us-states/maps/new-hampshire-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-hampshire.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-hampshire.jpg","https://twitter.com/nhgov", "New Jersey","new-jersey","NJ","Garden State","http://www.state.nj.us","1787-12-18",3,"Trenton","http://www.trentonnj.org",8899339,11,"http://www.njleg.state.nj.us/lawsconstitution/consearch.asp","https://cdn.civil.services/us-states/flags/new-jersey-large.png","https://cdn.civil.services/us-states/seals/new-jersey-large.png","https://cdn.civil.services/us-states/maps/new-jersey-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-jersey.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-jersey.jpg",, "New Mexico","new-mexico","NM","Land of Enchantment","http://www.newmexico.gov","1912-01-06",47,"Santa Fe","http://www.santafenm.gov",2085287,36,"http://www.loc.gov/law/guide/us-nm.html","https://cdn.civil.services/us-states/flags/new-mexico-large.png","https://cdn.civil.services/us-states/seals/new-mexico-large.png","https://cdn.civil.services/us-states/maps/new-mexico-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-mexico.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-mexico.jpg",, "New York","new-york","NY","Empire State","http://www.ny.gov","1788-07-26",11,"Albany","http://www.albanyny.org",19651127,3,"https://www.dos.ny.gov/info/constitution.htm","https://cdn.civil.services/us-states/flags/new-york-large.png","https://cdn.civil.services/us-states/seals/new-york-large.png","https://cdn.civil.services/us-states/maps/new-york-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/new-york.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/new-york.jpg","https://twitter.com/nygov", "North Carolina","north-carolina","NC","Old North State / Tar Heel State","http://www.nc.gov","1789-11-21",12,"Raleigh","http://www.raleigh-nc.org",9848060,10,"http://statelibrary.dcr.state.nc.us/nc/stgovt/preconst.htm","https://cdn.civil.services/us-states/flags/north-carolina-large.png","https://cdn.civil.services/us-states/seals/north-carolina-large.png","https://cdn.civil.services/us-states/maps/north-carolina-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/north-carolina.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/north-carolina.jpg","https://twitter.com/NCdotGov", "North Dakota","north-dakota","ND","Peace Garden State / Flickertail State / Roughrider State","http://www.nd.gov","1889-11-02",39,"Bismarck","http://www.bismarck.org",723393,48,"http://www.legis.nd.gov/information/statutes/const-laws.html","https://cdn.civil.services/us-states/flags/north-dakota-large.png","https://cdn.civil.services/us-states/seals/north-dakota-large.png","https://cdn.civil.services/us-states/maps/north-dakota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/north-dakota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/north-dakota.jpg","https://twitter.com/ExperienceND","https://www.facebook.com/ExperienceND" "Ohio","ohio","OH","Buckeye State","https://ohio.gov","1803-03-01",17,"Columbus","http://ci.columbus.oh.us",11570808,7,"http://www.legislature.state.oh.us/constitution.cfm","https://cdn.civil.services/us-states/flags/ohio-large.png","https://cdn.civil.services/us-states/seals/ohio-large.png","https://cdn.civil.services/us-states/maps/ohio-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/ohio.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/ohio.jpg","https://twitter.com/ohgov", "Oklahoma","oklahoma","OK","Sooner State","https://www.ok.gov","1907-11-16",46,"Oklahoma City","http://www.okc.gov",3850568,28,"http://oklegal.onenet.net/okcon","https://cdn.civil.services/us-states/flags/oklahoma-large.png","https://cdn.civil.services/us-states/seals/oklahoma-large.png","https://cdn.civil.services/us-states/maps/oklahoma-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/oklahoma.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/oklahoma.jpg","https://twitter.com/okgov","https://www.facebook.com/okgov" "Oregon","oregon","OR","Beaver State","http://www.oregon.gov","1859-02-14",33,"Salem","http://www.cityofsalem.net/Pages/default.aspx",3930065,27,"http://bluebook.state.or.us/state/constitution/constitution.htm","https://cdn.civil.services/us-states/flags/oregon-large.png","https://cdn.civil.services/us-states/seals/oregon-large.png","https://cdn.civil.services/us-states/maps/oregon-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/oregon.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/oregon.jpg",, "Pennsylvania","pennsylvania","PA","Keystone State","http://www.pa.gov","1787-12-12",2,"Harrisburg","http://harrisburgpa.gov",12773801,6,"http://sites.state.pa.us/PA_Constitution.html","https://cdn.civil.services/us-states/flags/pennsylvania-large.png","https://cdn.civil.services/us-states/seals/pennsylvania-large.png","https://cdn.civil.services/us-states/maps/pennsylvania-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/pennsylvania.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/pennsylvania.jpg","https://www.facebook.com/visitPA","https://twitter.com/visitPA" "Rhode Island","rhode-island","RI","The Ocean State","https://www.ri.gov","1790-05-29",13,"Providence","http://www.providenceri.com",1051511,43,"http://webserver.rilin.state.ri.us/RiConstitution","https://cdn.civil.services/us-states/flags/rhode-island-large.png","https://cdn.civil.services/us-states/seals/rhode-island-large.png","https://cdn.civil.services/us-states/maps/rhode-island-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/rhode-island.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/rhode-island.jpg","https://twitter.com/rigov","https://www.facebook.com/RIgov-Rhode-Island-Government-Online-24056655991" "South Carolina","south-carolina","SC","Palmetto State","http://www.sc.gov","1788-05-23",8,"Columbia","http://www.columbiasc.net",4774839,24,"http://www.scstatehouse.gov/scconstitution/scconst.php","https://cdn.civil.services/us-states/flags/south-carolina-large.png","https://cdn.civil.services/us-states/seals/south-carolina-large.png","https://cdn.civil.services/us-states/maps/south-carolina-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/south-carolina.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/south-carolina.jpg","https://twitter.com/scgov","http://www.facebook.com/pages/SCgov/12752057990" "South Dakota","south-dakota","SD","Mount Rushmore State","http://sd.gov","1889-11-02",40,"Pierre","http://ci.pierre.sd.us",844877,46,"http://legis.sd.gov/statutes/Constitution","https://cdn.civil.services/us-states/flags/south-dakota-large.png","https://cdn.civil.services/us-states/seals/south-dakota-large.png","https://cdn.civil.services/us-states/maps/south-dakota-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/south-dakota.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/south-dakota.jpg",, "Tennessee","tennessee","TN","Volunteer State","https://www.tn.gov","1796-06-01",16,"Nashville","http://www.nashville.gov",6495978,17,"http://www.capitol.tn.gov/about/docs/TN-Constitution.pdf","https://cdn.civil.services/us-states/flags/tennessee-large.png","https://cdn.civil.services/us-states/seals/tennessee-large.png","https://cdn.civil.services/us-states/maps/tennessee-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/tennessee.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/tennessee.jpg","https://twitter.com/TNVacation","https://www.facebook.com/tnvacation" "Texas","texas","TX","Lone Star State","https://www.texas.gov","1845-12-29",28,"Austin","http://www.austintexas.gov",26448193,2,"http://www.constitution.legis.state.tx.us","https://cdn.civil.services/us-states/flags/texas-large.png","https://cdn.civil.services/us-states/seals/texas-large.png","https://cdn.civil.services/us-states/maps/texas-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/texas.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/texas.jpg","https://twitter.com/texasgov","http://www.facebook.com/Texas.gov" "Utah","utah","UT","The Beehive State","https://utah.gov","1896-01-04",45,"Salt Lake City","http://www.slcgov.com",2900872,33,"http://le.utah.gov/UtahCode/chapter.jsp?code=Constitution","https://cdn.civil.services/us-states/flags/utah-large.png","https://cdn.civil.services/us-states/seals/utah-large.png","https://cdn.civil.services/us-states/maps/utah-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/utah.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/utah.jpg","https://twitter.com/UtahGov","https://www.facebook.com/utahgov" "Vermont","vermont","VT","Green Mountain State","http://vermont.gov","1791-03-04",14,"Montpelier","http://www.montpelier-vt.org",626630,49,"http://www.leg.state.vt.us/statutes/const2.htm","https://cdn.civil.services/us-states/flags/vermont-large.png","https://cdn.civil.services/us-states/seals/vermont-large.png","https://cdn.civil.services/us-states/maps/vermont-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/vermont.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/vermont.jpg","https://twitter.com/vermontgov","https://www.facebook.com/MyVermont" "Virginia","virginia","VA","Old Dominion State","https://www.virginia.gov","1788-06-25",10,"Richmond","http://www.richmondgov.com",8260405,12,"http://hodcap.state.va.us/publications/Constitution-01-13.pdf","https://cdn.civil.services/us-states/flags/virginia-large.png","https://cdn.civil.services/us-states/seals/virginia-large.png","https://cdn.civil.services/us-states/maps/virginia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/virginia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/virginia.jpg",, "Washington","washington","WA","The Evergreen State","http://www.wa.gov","1889-11-11",42,"Olympia","http://www.ci.olympia.wa.us",6971406,13,"http://www.leg.wa.gov/lawsandagencyrules/pages/constitution.aspx","https://cdn.civil.services/us-states/flags/washington-large.png","https://cdn.civil.services/us-states/seals/washington-large.png","https://cdn.civil.services/us-states/maps/washington-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/washington.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/washington.jpg","https://twitter.com/wagov","" "West Virginia","west-virginia","WV","Mountain State","http://www.wv.gov","1863-06-20",35,"Charleston","http://www.cityofcharleston.org",1854304,38,"http://www.legis.state.wv.us/WVCODE/WV_CON.cfm","https://cdn.civil.services/us-states/flags/west-virginia-large.png","https://cdn.civil.services/us-states/seals/west-virginia-large.png","https://cdn.civil.services/us-states/maps/west-virginia-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/west-virginia.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/west-virginia.jpg","https://twitter.com/wvgov","https://www.facebook.com/wvgov" "Wisconsin","wisconsin","WI","Badger State","https://www.wisconsin.gov","1848-05-29",30,"Madison","http://www.ci.madison.wi.us",5742713,20,"http://www.legis.state.wi.us/rsb/2wiscon.html","https://cdn.civil.services/us-states/flags/wisconsin-large.png","https://cdn.civil.services/us-states/seals/wisconsin-large.png","https://cdn.civil.services/us-states/maps/wisconsin-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/wisconsin.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/wisconsin.jpg",, "Wyoming","wyoming","WY","Equality State","http://www.wyo.gov","1890-07-10",44,"Cheyenne","http://www.cheyennecity.org",582658,50,"http://legisweb.state.wy.us/statutes/constitution.aspx?file=titles/97Title97.htm","https://cdn.civil.services/us-states/flags/wyoming-large.png","https://cdn.civil.services/us-states/seals/wyoming-large.png","https://cdn.civil.services/us-states/maps/wyoming-large.png","https://cdn.civil.services/us-states/backgrounds/1280x720/landscape/wyoming.jpg","https://cdn.civil.services/us-states/backgrounds/1280x720/skyline/wyoming.jpg",,intake-0.6.5/intake/cli/sample/us_states.yml000066400000000000000000000004341416666122400210460ustar00rootroot00000000000000sources: states: description: US state information from [CivilServices](https://civil.services/) driver: csv args: urlpath: '{{ CATALOG_DIR }}/states_*.csv' metadata: origin_url: 'https://github.com/CivilServiceUSA/us-states/blob/v1.0.0/data/states.csv' intake-0.6.5/intake/cli/server/000077500000000000000000000000001416666122400163355ustar00rootroot00000000000000intake-0.6.5/intake/cli/server/__init__.py000066400000000000000000000005061416666122400204470ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/cli/server/__main__.py000066400000000000000000000060631416666122400204340ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import argparse import logging import signal import sys import tornado.ioloop import tornado.web from .server import IntakeServer logger = logging.getLogger('intake') def call_exit_on_sigterm(signal, frame): sys.exit(0) def main(argv=None): from intake.config import conf from intake import open_catalog if argv is None: argv = sys.argv parser = argparse.ArgumentParser(description='Intake Catalog Server') parser.add_argument('-p', '--port', type=int, default=conf['port'], help='port number for server to listen on') parser.add_argument('--list-entries', action='store_true', help='list catalog entries at startup') parser.add_argument('--sys-exit-on-sigterm', action='store_true', help='internal flag used during unit testing to ensure ' '.coverage file is written') parser.add_argument('catalog_args', metavar='FILE', type=str, nargs='+', help='Name of catalog YAML file') parser.add_argument('--flatten', dest='flatten', action='store_true') parser.add_argument('--no-flatten', dest='flatten', action='store_false') parser.add_argument('--ttl', dest='ttl',type=int, default=60) parser.add_argument('-a', '--address', type=str, default=conf.get('address', 'localhost'), help='address to use as a host, defaults to the address ' 'in the configuration file, if provided otherwise localhost') parser.set_defaults(flatten=True) args = parser.parse_args(argv[1:]) if args.sys_exit_on_sigterm: signal.signal(signal.SIGTERM, call_exit_on_sigterm) logger.info('Creating catalog from:') for arg in args.catalog_args: logger.info(' - %s' % arg) catargs = args.catalog_args ttl = args.ttl if len(catargs) == 1: catalog = open_catalog(catargs[0], ttl=ttl) logger.info("catalog_args: %s" % catargs[0]) else: catalog = open_catalog(catargs, flatten=args.flatten, ttl=ttl) logger.info("catalog_args: %s" % catargs) if args.list_entries: # This is not a good idea if the Catalog is huge. logger.info('Entries:' + ','.join(list(catalog))) logger.info('Listening on %s:%d' % (args.address, args.port)) server = IntakeServer(catalog) app = server.make_app() server.start_periodic_functions(close_idle_after=3600.0) app.listen(args.port, address=args.address) try: tornado.ioloop.IOLoop.current().start() except KeyboardInterrupt: logger.critical("Exiting") except Exception as e: logger.critical("Exiting due to %s" % e) if __name__ == "__main__": sys.exit(main(sys.argv)) intake-0.6.5/intake/cli/server/server.py000066400000000000000000000370711416666122400202250ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import time from uuid import uuid4 import itertools import logging import msgpack import tornado.gen import tornado.ioloop import tornado.web from intake.config import conf from intake.container import serializer from intake.utils import remake_instance from intake import __version__ from intake.compat import unpack_kwargs, pack_kwargs logger = logging.getLogger('intake') class IntakeServer(object): """Main intake-server tornado application""" def __init__(self, catalog): self._catalog = catalog self._cache = SourceCache() self._periodic_callbacks = [] auth = conf.get('auth', 'intake.auth.base.BaseAuth') logger.debug('auth: %s' % auth) self._auth = remake_instance(auth) def get_handlers(self): return [ (r"/v1/info", ServerInfoHandler, dict(catalog=self._catalog, cache=self._cache, auth=self._auth)), (r"/v1/source", ServerSourceHandler, dict(catalog=self._catalog, cache=self._cache, auth=self._auth)), ] def make_app(self): handlers = self.get_handlers() return tornado.web.Application(handlers) def start_periodic_functions(self, close_idle_after=None, remove_idle_after=None): if len(self._periodic_callbacks) > 0: raise Exception('Periodic functions already started ' 'for this server') # Disabling periodic timers with None makes testing easier if close_idle_after is not None: cache_closer = self._make_cache_closer(close_idle_after) self._periodic_callbacks.append(cache_closer) if remove_idle_after is not None: cache_remover = self._make_cache_remover(remove_idle_after) self._periodic_callbacks.append(cache_remover) for callback in self._periodic_callbacks: callback.start() def _make_cache_closer(self, idle_time): def cache_closer_callback(): self._cache.close_idle(idle_time) return self._make_cache_callback(cache_closer_callback, idle_time) def _make_cache_remover(self, idle_time): def cache_remover_callback(): self._cache.remove_idle(idle_time) return self._make_cache_callback(cache_remover_callback, idle_time) def _make_cache_callback(self, callback, idle_time): # Check ever 1/10 of the idle_time interval_ms = (idle_time / 10.0) * 1000 callback = tornado.ioloop.PeriodicCallback(callback, interval_ms) return callback class ServerInfoHandler(tornado.web.RequestHandler): """Basic info about the server""" def initialize(self, cache, catalog, auth): self.cache = cache self.catalog = catalog self.auth = auth def get(self): head = self.request.headers page_size = self.get_argument('page_size', None) page_offset = self.get_argument('page_offset', 0) if self.auth.allow_connect(head): if 'source-id' in head: cat = self.cache.get(head['source-id']) else: cat = self.catalog sources = [] if page_size is None: # Return all the results in one page. This is important for # back-compat with clients that predate pagination. It may # also be useful to keep things simple for clients that do not # need pagination. start = stop = None else: start = int(page_offset) stop = int(page_offset) + int(page_size) page = itertools.islice(cat.items(), start, stop) for name, source in page: if self.auth.allow_access(head, source, self.catalog): info = source.describe().copy() modified_args = info['args'].copy() info['name'] = name for k, v in info['args'].items(): try: msgpack.packb(v, **pack_kwargs) except TypeError: modified_args[k] = 'UNSERIALIZABLE_VALUE' info['args'] = modified_args sources.append(info) try: length = len(cat) except TypeError: length = sum(1 for entry in cat) server_info = dict(version=__version__, sources=sources, length=length, metadata=cat.metadata) else: msg = 'Access forbidden' raise tornado.web.HTTPError(status_code=403, log_message=msg, reason=msg) self.write(msgpack.packb(server_info, **pack_kwargs)) class SourceCache(object): """Stores DataSources requested by some user""" def __init__(self): self._sources = {} def add(self, source, source_id=None): if source_id is None: source_id = str(uuid4()) now = time.time() self._sources[source_id] = dict(source=source, open_time=now, last_time=now) logger.debug('Adding %s to cache, uuid %s' % (source, source_id)) return source_id def get(self, uuid): record = self._sources[uuid] record['last_time'] = time.time() return record['source'] def peek(self, uuid): """Get the source but do not change the last access time""" return self._sources[uuid]['source'] def touch(self, uuid): record = self._sources[uuid] record['last_time'] = time.time() def close_idle(self, idle_secs): threshold = time.time() - idle_secs for record in self._sources.values(): if record['last_time'] < threshold: record['source'].close() def remove_idle(self, idle_secs): threshold = time.time() - idle_secs # Make a copy of the items so we can mutate the dictionary for uuid, record in list(self._sources.items()): if record['last_time'] < threshold: logger.debug('Removing source %s from cache' % uuid) del self._sources[uuid] class ServerSourceHandler(tornado.web.RequestHandler): """Open or stream data source The requests "action" field (open|read) specified what the request wants to do. Open caches the source and created an ID for it, read uses that ID to reference the source and read a partition. """ def initialize(self, catalog, cache, auth): self._catalog = catalog self._cache = cache self.auth = auth def get(self): """ Access one source's info. This is for direct access to an entry by name for random access, which is useful to the client when the whole catalog has not first been listed and pulled locally (e.g., in the case of pagination). """ head = self.request.headers name = self.get_argument('name') if self.auth.allow_connect(head): if 'source-id' in head: cat = self._cache.get(head['source-id']) else: cat = self._catalog try: source = cat[name] except KeyError: msg = 'No such entry' raise tornado.web.HTTPError(status_code=404, log_message=msg, reason=msg) if self.auth.allow_access(head, source, self._catalog): info = source.describe().copy() info['name'] = name source_info = dict(source=info) try: out = msgpack.packb(source_info, **pack_kwargs) except TypeError: info['direct_access'] = 'forbid' modified_args = source_info['source']['args'].copy() for k, v in source_info['source']['args'].items(): try: msgpack.packb(v, **pack_kwargs) except TypeError: modified_args[k] = 'UNSERIALIZABLE_VALUE' source_info['source']['args'] = modified_args out = msgpack.packb(source_info, **pack_kwargs) self.write(out) return msg = 'Access forbidden' raise tornado.web.HTTPError(status_code=403, log_message=msg, reason=msg) @tornado.gen.coroutine def post(self): request = msgpack.unpackb(self.request.body, **unpack_kwargs) action = request['action'] head = self.request.headers logger.debug('Source POST: %s' % request) if action == 'search': if 'source-id' in head: cat = self._cache.get(head['source-id']) else: cat = self._catalog query = request['query'] # Construct a cache key from the source_id of the Catalog being # searched and the query itself. query_source_id = '-'.join((head.get('source-id', 'root'), str(query))) try: cat = self._cache.get(query_source_id) except KeyError: try: args, kwargs = query results_cat = cat.search(*args, **kwargs) except Exception as err: logger.exception("Search query %r on Catalog %r failed", query, cat) raise tornado.web.HTTPError( status_code=400, log_message="Search query failed", reason=str(err)) self._cache.add(results_cat, source_id=query_source_id) response = {'source_id': query_source_id} self.write(msgpack.packb(response, **pack_kwargs)) self.finish() elif action == 'open': if 'source-id' in head: cat = self._cache.get(head['source-id']) else: cat = self._catalog entry_name = request['name'] try: entry = cat[entry_name] except KeyError: msg = "Catalog has no entry {!r}".format(entry_name) raise tornado.web.HTTPError(status_code=404, log_message=msg, reason=msg) if not self.auth.allow_access(head, entry, cat): msg = 'Access forbidden' raise tornado.web.HTTPError(status_code=403, log_message=msg, reason=msg) user_parameters = request.get('parameters', {}) client_plugins = request.get('available_plugins', []) # Can the client directly access the data themselves? open_desc = entry.describe() direct_access = open_desc['direct_access'] plugin_name = open_desc['plugin'] if isinstance(plugin_name, list): for pl in plugin_name: if pl in client_plugins: plugin_name = pl break client_has_plugin = plugin_name in client_plugins if direct_access == 'forbid' or \ (direct_access == 'allow' and not client_has_plugin): logger.debug("Opening entry %s" % entry) source = entry.configure_new(**user_parameters) try: source.on_server = True source.discover() except Exception as e: import traceback traceback.print_exc() raise tornado.web.HTTPError(status_code=400, log_message="Discover failed", reason=str(e)) source_id = self._cache.add(source) logger.debug('Container: %s, ID: %s' % (source.container, source_id)) response = dict(source._schema or {}) response.update(dict(container=source.container, source_id=source_id, metadata=source.metadata)) self.write(msgpack.packb(response, **pack_kwargs)) self.finish() elif direct_access == 'force' and not client_has_plugin: msg = 'client must have plugin "%s" to access source "%s"' \ '' % (plugin_name, entry_name) raise tornado.web.HTTPError(status_code=400, log_message=msg, reason=msg) else: # If we get here, the client can access the source directly # some server-side args need to be parsed response = open_desc user_parameters['plugin'] = plugin_name response['args'] = (entry._entry._create_open_args(user_parameters)[1]) self.write(msgpack.packb(response, **pack_kwargs)) self.finish() elif action == 'read': source_id = request['source_id'] source = self._cache.get(source_id) accepted_formats = request['accepted_formats'] accepted_compression = request.get('accepted_compression', ['none']) partition = request.get('partition', None) chunk_encoder = self._pick_encoder(accepted_formats, accepted_compression, source.container) logger.debug("Read partition %s" % partition) if partition is not None: chunk = source.read_partition(partition) else: assert source.npartitions < 2 chunk = source.read() data = chunk_encoder.encode(chunk, source.container) msg = dict(format=chunk_encoder.format_name, compression=chunk_encoder.compressor_name, container=source.container, data=data) self.write(msgpack.packb(msg, **pack_kwargs)) self.flush() self._cache.touch(source_id) # keep source alive self.finish() else: msg = '"%s" not a valid source action' % action raise tornado.web.HTTPError(status_code=400, log_message=msg, reason=msg) def _pick_encoder(self, accepted_formats, accepted_compression, container): format_encoder = None for f in accepted_formats: if f in serializer.format_registry: format_encoder = serializer.format_registry[f] if format_encoder is None: msg = 'Unable to find compatible format' raise tornado.web.HTTPError(status_code=400, log_message=msg, reason=msg) compressor = serializer.NoneCompressor() # Default for f in accepted_compression: if f in serializer.compression_registry: compressor = serializer.compression_registry[f] return serializer.ComboSerializer(format_encoder, compressor) intake-0.6.5/intake/cli/server/templates/000077500000000000000000000000001416666122400203335ustar00rootroot00000000000000intake-0.6.5/intake/cli/server/templates/index.html000066400000000000000000000041671416666122400223400ustar00rootroot00000000000000 Intake Catalog Browser

Intake Catalog Browser

Data Sources

{% for source in sources %}

{{ source.name }}

{{ source.description.description }}

Returns: {{ source.description.container }}

Parameters:

    {% for par in source.description.user_parameters %}
  • {{ par.name }} ({{ par.type }}): {{ par.description }}
    default value = {{ par.default }} {% if par.allowed %} ; allowed = {% for v in par.allowed %}{{ v }}{% if not loop.last %}, {% endif %}{% endfor %} {% endif %}
    • {% endfor %}
{% endfor %}
intake-0.6.5/intake/cli/server/tests/000077500000000000000000000000001416666122400174775ustar00rootroot00000000000000intake-0.6.5/intake/cli/server/tests/__init__.py000066400000000000000000000005061416666122400216110ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/cli/server/tests/catalog1.yml000066400000000000000000000015601416666122400217170ustar00rootroot00000000000000plugins: source: - module: intake.catalog.tests.example1_source - module: intake.catalog.tests.example_plugin_dir.example2_source sources: use_example1: description: example1 source plugin driver: example1 args: {} entry1: description: entry1 full metadata: foo: 'bar' bar: [1, 2, 3] driver: csv # Default direct_access is "forbid" by default args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_*.csv' entry1_part: description: entry1 part parameters: # User defined parameters part: description: part of filename type: str default: "1" allowed: ["1", "2"] metadata: foo: 'baz' bar: [2, 4, 6] driver: csv direct_access: "allow" args: # passed to the open() method urlpath: '{{ CATALOG_DIR }}/entry1_{{ part }}.csv' intake-0.6.5/intake/cli/server/tests/entry1_1.csv000066400000000000000000000001031416666122400216500ustar00rootroot00000000000000name,score,rank Alice1,100.5,1 Bob1,50.3,2 Charlie1,25,3 Eve1,25,3 intake-0.6.5/intake/cli/server/tests/entry1_2.csv000066400000000000000000000001031416666122400216510ustar00rootroot00000000000000name,score,rank Alice2,100.5,1 Bob2,50.3,2 Charlie2,25,3 Eve2,25,3 intake-0.6.5/intake/cli/server/tests/test_serializer.py000066400000000000000000000033631416666122400232660ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os.path import pytest import numpy as np from intake.container import serializer all_serializers = pytest.mark.parametrize( 'ser', serializer.format_registry.values()) all_compressors = pytest.mark.parametrize( 'comp', serializer.compression_registry.values()) @all_serializers def test_dataframe(ser): pd = pytest.importorskip('pandas') pytest.importorskip('pyarrow') csv_filename = os.path.join(os.path.dirname(__file__), 'entry1_1.csv') expected_df = pd.read_csv(csv_filename) # Check roundtrip df = ser.decode(ser.encode(expected_df, 'dataframe'), 'dataframe') assert expected_df.equals(df) @all_serializers def test_ndarray(ser): expected_array = np.arange(35).reshape((5, 7)) # Check roundtrip array = ser.decode(ser.encode(expected_array, 'ndarray'), 'ndarray') np.testing.assert_array_equal(expected_array, array) @all_serializers def test_python(ser): expected = [dict(a=1, b=[1, 2], c='str'), dict(a=[1, 2], b='str', d=None)] actual = ser.decode(ser.encode(expected, 'python'), 'python') assert expected == actual @all_compressors def test_compression_roundtrip(comp): data = b'1234\x01\x02' assert data == comp.decompress(comp.compress(data)) def test_none_compress(): data = b'1234\x01\x02' comp = serializer.NoneCompressor() # None should be no-op assert data == comp.decompress(data) assert data == comp.compress(data) intake-0.6.5/intake/cli/server/tests/test_server.py000066400000000000000000000250211416666122400224160ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import os.path import pytest import requests import shutil import subprocess import time from tornado.ioloop import IOLoop from tornado.testing import AsyncHTTPTestCase import msgpack from intake import open_catalog from intake.container.serializer import MsgPackSerializer, GzipCompressor from intake.cli.server.server import IntakeServer from intake.compat import unpack_kwargs, pack_kwargs from intake.utils import make_path_posix catalog_file = make_path_posix( os.path.join(os.path.dirname(__file__), 'catalog1.yml')) class TestServerV1Base(AsyncHTTPTestCase): def get_app(self): local_catalog = open_catalog(catalog_file) self.server = IntakeServer(local_catalog) return self.server.make_app() def encode(self, msg): return msgpack.packb(msg, **pack_kwargs) def decode(self, bytestr): return msgpack.unpackb(bytestr, **unpack_kwargs) class TestServerV1Info(TestServerV1Base): def test_info(self): response = self.fetch('/v1/info') self.assertEqual(response.code, 200) info = self.decode(response.body) self.assertTrue('version' in info) expected = [ { 'container': 'dataframe', 'direct_access': 'forbid', 'description': 'example1 source plugin', 'name': 'use_example1', 'user_parameters': []}, { 'container': 'dataframe', 'direct_access': 'forbid', 'description': 'entry1 full', 'name': 'entry1', 'user_parameters': []}, { 'container': 'dataframe', 'direct_access': 'allow', 'description': 'entry1 part', 'name': 'entry1_part', 'user_parameters': [{ 'allowed': ['1', '2'], 'default': '1', 'description': 'part of filename', 'name': 'part', 'type': 'str' }] } ] def sort_by_name(seq): return sorted(seq, key=lambda d: d['name']) for left, right in zip(sort_by_name(info['sources']), sort_by_name(expected)): for k in right: assert left[k] == right[k] class TestServerV1Source(TestServerV1Base): def make_post_request(self, msg, expected_status=200): request = self.encode(msg) response = self.fetch('/v1/source', method='POST', body=request, headers={'Content-type': 'application/vnd.msgpack'}) self.assertEqual(response.code, expected_status) responses = [] if expected_status < 400: unpacker = msgpack.Unpacker(**unpack_kwargs) unpacker.feed(response.body) for msg in unpacker: responses.append(msg) else: responses = [{'error': str(response.error)}] return responses def test_open(self): msg = dict(action='open', name='entry1', parameters={}) resp_msg, = self.make_post_request(msg) self.assertEqual(resp_msg['container'], 'dataframe') self.assertEqual(resp_msg['shape'], [None, 3]) expected_dtype = {'name': 'object', 'score': 'float64', 'rank': 'int64'} actual_dtype = resp_msg['dtype'] self.assertEqual(expected_dtype, actual_dtype) self.assertEqual(resp_msg['npartitions'], 2) md = resp_msg['metadata'] md.pop('catalog_dir', None) self.assertEqual(md, dict(foo='bar', bar=[1, 2, 3])) self.assertTrue(isinstance(resp_msg['source_id'], str)) def test_open_direct(self): msg = dict(action='open', name='entry1_part', parameters=dict(part='2'), available_plugins=['csv']) resp_msg, = self.make_post_request(msg) self.assertTrue('csv' in resp_msg['plugin']) args = resp_msg['args'] assert 'urlpath' in args self.assertTrue(args['urlpath'].endswith('/entry1_2.csv')) md = resp_msg['metadata'] md.pop('catalog_dir', None) self.assertEqual(md, dict(foo='baz', bar=[2, 4, 6])) self.assertEqual(resp_msg['description'], 'entry1 part') def test_read_part_compressed(self): # because the msgpack format actually depends on pyarrow pytest.importorskip('pyarrow') msg = dict(action='open', name='entry1', parameters={}) resp_msg, = self.make_post_request(msg) source_id = resp_msg['source_id'] msg2 = dict(action='read', source_id=source_id, accepted_formats=['msgpack'], accepted_compression=['gzip'], partition=0) resp_msgs = self.make_post_request(msg2) self.assertEqual(len(resp_msgs), 1) ser = MsgPackSerializer() comp = GzipCompressor() for chunk in resp_msgs: self.assertEqual(chunk['format'], 'msgpack') self.assertEqual(chunk['compression'], 'gzip') self.assertEqual(chunk['container'], 'dataframe') data = ser.decode(comp.decompress(chunk['data']), container='dataframe') self.assertEqual(len(data), 4) def test_read_partition(self): # because the msgpack format actually depends on pyarrow pytest.importorskip('pyarrow') msg = dict(action='open', name='entry1', parameters={}) resp_msg, = self.make_post_request(msg) source_id = resp_msg['source_id'] msg2 = dict(action='read', partition=1, source_id=source_id, accepted_formats=['msgpack']) resp_msgs = self.make_post_request(msg2) self.assertEqual(len(resp_msgs), 1) ser = MsgPackSerializer() part = resp_msgs[0] self.assertEqual(part['format'], 'msgpack') self.assertEqual(part['compression'], 'none') self.assertEqual(part['container'], 'dataframe') data = ser.decode(part['data'], container='dataframe') self.assertEqual(len(data), 4) def test_bad_action(self): msg = dict(action='bad', name='entry1') response, = self.make_post_request(msg, expected_status=400) self.assertIn('bad', response['error']) def test_no_format(self): msg = dict(action='open', name='entry1', parameters={}) resp_msg, = self.make_post_request(msg) source_id = resp_msg['source_id'] msg2 = dict(action='read', source_id=source_id, accepted_formats=['unknown_format']) response, = self.make_post_request(msg2, expected_status=400) self.assertIn('compatible', response['error']) def test_idle_timer(self): self.server.start_periodic_functions(close_idle_after=0.1, remove_idle_after=0.2) msg = dict(action='open', name='entry1', parameters={}) resp_msg, = self.make_post_request(msg) source_id = resp_msg['source_id'] # Let ioloop run once with do-nothing function to make sure source # isn't closed time.sleep(0.05) IOLoop.current().run_sync(lambda: None) # Cheat and look into internal state now source = self.server._cache.peek(source_id) assert source._dataframe is not None # now wait slightly over idle time, run periodic functions, # and check again time.sleep(0.06) IOLoop.current().run_sync(lambda: None) # should be closed source = self.server._cache.peek(source_id) assert source._dataframe is None # wait a little longer time.sleep(0.1) IOLoop.current().run_sync(lambda: None) # source should be gone with self.assertRaises(KeyError): self.server._cache.peek(source_id) @pytest.fixture() def multi_server(tmpdir): fn1 = make_path_posix(os.path.join(tmpdir, 'cat1.yaml')) shutil.copyfile(catalog_file, fn1) fn2 = make_path_posix(os.path.join(tmpdir, 'cat2.yaml')) shutil.copyfile(catalog_file, fn2) P = subprocess.Popen(['intake-server', fn1, fn2, '--no-flatten']) t = time.time() while True: try: requests.get('http://localhost:5000') yield 'intake://localhost:5000' break except: time.sleep(0.2) if time.time() - t > 10: break P.terminate() P.wait() shutil.rmtree(tmpdir) def test_flatten_flag(multi_server): cat = open_catalog(multi_server) assert list(cat) == ['cat1', 'cat2'] assert 'use_example1' in cat.cat1() def free_port(): import socket s = socket.socket() s.bind(('', 0)) # Bind to a free port provided by the host. port = s.getsockname()[1] s.close() return port @pytest.fixture(scope='function') def port_server(tmpdir): fn1 = make_path_posix(os.path.join(tmpdir, 'cat1.yaml')) shutil.copyfile(catalog_file, fn1) port = free_port() P = subprocess.Popen(['intake-server', '--port', str(port), fn1]) t = time.time() try: while True: try: requests.get('http://localhost:%s' % port) yield 'intake://localhost:%s' % port break except: time.sleep(0.2) if time.time() - t > 10: break finally: P.terminate() P.wait() shutil.rmtree(tmpdir) def test_port_flag(port_server): cat = open_catalog(port_server) assert 'use_example1' in list(cat) @pytest.fixture() def address_server(tmpdir): fn1 = make_path_posix(os.path.join(tmpdir, 'cat1.yaml')) shutil.copyfile(catalog_file, fn1) port = free_port() P = subprocess.Popen(['intake-server', '--port', str(port), '--address', '0.0.0.0', fn1]) t = time.time() while True: try: requests.get('http://0.0.0.0:%s' % port) yield 'intake://0.0.0.0:%s' % port break except: time.sleep(0.2) if time.time() - t > 10: break P.terminate() P.wait() shutil.rmtree(tmpdir) def test_address_flag(address_server): cat = open_catalog(address_server) assert 'use_example1' in list(cat) intake-0.6.5/intake/cli/tests/000077500000000000000000000000001416666122400161715ustar00rootroot00000000000000intake-0.6.5/intake/cli/tests/__init__.py000066400000000000000000000005061416666122400203030ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/cli/tests/test_util.py000066400000000000000000000045001416666122400205560ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest # module under test import intake.cli.util as m # TODO def test_print_entry_info(): pass def test_die(capsys): with pytest.raises(SystemExit): m.die("foo") out, err = capsys.readouterr() assert err == "foo\n" assert out == "" class Test_nice_join(object): def test_default(self): assert m.nice_join(["one"]) == "one" assert m.nice_join(["one", "two"]) == "one or two" assert m.nice_join(["one", "two", "three"]) == "one, two or three" assert m.nice_join(["one", "two", "three", "four"]) == "one, two, three or four" def test_string_conjunction(self): assert m.nice_join(["one"], conjunction="and") == "one" assert m.nice_join(["one", "two"], conjunction="and") == "one and two" assert m.nice_join(["one", "two", "three"], conjunction="and") == "one, two and three" assert m.nice_join(["one", "two", "three", "four"], conjunction="and") == "one, two, three and four" def test_None_conjunction(self): assert m.nice_join(["one"], conjunction=None) == "one" assert m.nice_join(["one", "two"], conjunction=None) == "one, two" assert m.nice_join(["one", "two", "three"], conjunction=None) == "one, two, three" assert m.nice_join(["one", "two", "three", "four"], conjunction=None) == "one, two, three, four" def test_sep(self): assert m.nice_join(["one"], sep='; ') == "one" assert m.nice_join(["one", "two"], sep='; ') == "one or two" assert m.nice_join(["one", "two", "three"], sep='; ') == "one; two or three" assert m.nice_join(["one", "two", "three", "four"], sep="; ") == "one; two; three or four" class TestSubcommand(object): def test_initialize_abstract(self): with pytest.raises(NotImplementedError): obj = m.Subcommand("parser") obj.initialize() def test_invoke_abstract(self): with pytest.raises(NotImplementedError): obj = m.Subcommand("parser") obj.invoke("args") intake-0.6.5/intake/cli/util.py000066400000000000000000000063411416666122400163620ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- ''' Provide a ``main`` function to run intake commands. ''' import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports import sys # External imports # Intake imports #----------------------------------------------------------------------------- # API #----------------------------------------------------------------------------- def die(message, status=1): ''' Print an error message and exit. This function will call ``sys.exit`` with the given ``status`` and the process will terminate. Args: message (str) : error message to print status (int) : the exit status to pass to ``sys.exit`` ''' print(message, file=sys.stderr) sys.exit(status) def nice_join(seq, sep=", ", conjunction="or"): ''' Join together sequences of strings into English-friendly phrases using a conjunction when appropriate. Args: seq (seq[str]) : a sequence of strings to nicely join sep (str, optional) : a sequence delimiter to use (default: ", ") conjunction (str or None, optional) : a conjunction to use for the last two items, or None to reproduce basic join behavior (default: "or") Returns: a joined string Examples: >>> nice_join(["a", "b", "c"]) 'a, b or c' ''' seq = [str(x) for x in seq] if len(seq) <= 1 or conjunction is None: return sep.join(seq) else: return "%s %s %s" % (sep.join(seq[:-1]), conjunction, seq[-1]) def print_entry_info(catalog, name): ''' ''' info = catalog[name].describe() for key in sorted(info.keys()): print("[{}] {}={}".format(name, key, info[key])) class Subcommand(object): ''' Abstract base class for subcommands Subclasses should define a class variable ``name`` that will be used as the subparser name, and a docstring, that will be used as the subparser help. After initialization, the parser for this comman will be avaialble as ``self.parser``. Subclasses must also implement: * an ``initialize(self)`` method that configures ``self.parser`` * an ``invoke(self, args)`` method that accepts a set of argparse processed arguments as input. ''' def __init__(self, parser): ''' Configure a parser for this command. ''' self.parser = parser self.initialize() def initialize(self): ''' Implement in subclasses to configure self.parser with any arguments or additional sub-parsers. ''' raise NotImplementedError("Subclasses must implement initialize()") def invoke(self, args): ''' Implement in subclasses to perform the actual work of the command ''' raise NotImplementedError("Subclasses must implement invoke()") intake-0.6.5/intake/compat.py000066400000000000000000000016221416666122400161160ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import msgpack from .utils import encode_datetime, decode_datetime if msgpack.version >= (0, 5, 2): unpack_kwargs = {'raw': False} else: unpack_kwargs = {'encoding': 'utf-8'} unpack_kwargs["object_hook"] = decode_datetime pack_kwargs = dict( default=encode_datetime, use_bin_type=True, ) try: import msgpack_numpy np_unpack_kwargs = dict( object_hook=lambda obj: decode_datetime(msgpack_numpy.decode(obj)), ) np_pack_kwargs = dict( default=lambda obj: encode_datetime(msgpack_numpy.encode(obj)), ) except ImportError: pass intake-0.6.5/intake/config.py000066400000000000000000000074111416666122400161020ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from os.path import expanduser import logging import os import posixpath import yaml from intake.utils import yaml_load from .utils import make_path_posix logger = logging.getLogger('intake') confdir = make_path_posix( os.getenv('INTAKE_CONF_DIR', os.path.join(expanduser('~'), '.intake'))) defaults = { 'auth': {'cls': 'intake.auth.base.BaseAuth'}, 'port': 5000, 'cache_dir': posixpath.join(confdir, 'cache'), 'cache_disabled': False, 'cache_download_progress': True, 'logging': 'INFO', 'catalog_path': [], 'persist_path': posixpath.join(confdir, 'persisted') } conf = {} def cfile(): return make_path_posix( os.getenv('INTAKE_CONF_FILE', posixpath.join(confdir, 'conf.yaml'))) def reset_conf(): """Set conf values back to defaults""" conf.clear() conf.update(defaults) def save_conf(fn=None): """Save current configuration to file as YAML If not given, uses current config directory, ``confdir``, which can be set by INTAKE_CONF_DIR. """ if fn is None: fn = cfile() try: os.makedirs(os.path.dirname(fn)) except (OSError, IOError): pass with open(fn, 'w') as f: yaml.dump(conf, f) def load_conf(fn=None): """Update global config from YAML file If fn is None, looks in global config directory, which is either defined by the INTAKE_CONF_DIR env-var or is ~/.intake/ . """ if fn is None: fn = cfile() if os.path.isfile(fn): with open(fn) as f: try: conf.update(yaml_load(f)) except Exception as e: logger.warning('Failure to load config file "{fn}": {e}' ''.format(fn=fn, e=e)) def intake_path_dirs(path): """Return a list of directories from the intake path. If a string, perhaps taken from an environment variable, then the list of paths will be split on the character ":" for posix of ";" for windows. Protocol indicators ("protocol://") will be ignored. """ if isinstance(path, (list, tuple)): return path import re pattern = re.compile(";" if os.name == 'nt' else r"(? 1)): time.sleep(0.1) retries -= 1 except Exception: print(p.communicate()) raise assert retries > 0, "Server never appeared" yield 'intake://localhost:%d' % port finally: if server_conf: try: env.pop('INTAKE_CONF_FILE', None) os.remove(server_conf) except: pass p.terminate() time.sleep(1) p.kill() @pytest.fixture(scope='module') def http_server(): port_as_str = str(pick_port()) if PY2: cmd = ['python', '-m', 'SimpleHTTPServer', port_as_str] else: cmd = ['python', '-m', 'http.server', port_as_str] p = subprocess.Popen(cmd, cwd=os.path.join(here, 'catalog', 'tests')) url = 'http://localhost:{}/'.format(port_as_str) timeout = 5 while True: try: requests.get(url) break except: time.sleep(0.1) timeout -= 0.1 assert timeout > 0, "timeout waiting for http server" try: yield url finally: p.terminate() p.communicate() @pytest.fixture(scope='function') def tempdir(): import tempfile import shutil d = make_path_posix(str(tempfile.mkdtemp())) try: yield d finally: shutil.rmtree(d) @pytest.fixture(scope='function') def temp_cache(tempdir): import intake from intake.container.persist import store old = intake.config.conf.copy() olddir = intake.config.confdir intake.config.confdir = tempdir intake.config.conf.update({'cache_dir': make_path_posix(str(tempdir)), 'cache_download_progress': False, 'cache_disabled': False}) intake.config.save_conf() store.__init__(os.path.join(tempdir, 'persist')) try: yield finally: intake.config.confdir = olddir intake.config.conf.update(old) intake.config.save_conf() @pytest.fixture(scope='function') def env(temp_cache, tempdir): import intake env = os.environ.copy() env["INTAKE_CONF_DIR"] = intake.config.confdir env['INTAKE_CACHE_DIR'] = intake.config.conf['cache_dir'] return env @pytest.fixture def inherit_params_cat(): with tempfile.TemporaryDirectory() as tmp_dir: tmp_path = posixpath.join(tmp_dir, "intake") target_catalog = copy_test_file("catalog_inherit_params.yml", tmp_path) return open_catalog(target_catalog) @pytest.fixture def inherit_params_multiple_cats(): with tempfile.TemporaryDirectory() as tmp_dir: tmp_path = posixpath.join(tmp_dir, "intake") copy_test_file("catalog_inherit_params.yml", tmp_path) copy_test_file("catalog_nested_sub.yml", tmp_path) return open_catalog(tmp_path + "/*.yml") @pytest.fixture def inherit_params_subcat(): with tempfile.TemporaryDirectory() as tmp_dir: tmp_path = posixpath.join(tmp_dir, "intake") target_catalog = copy_test_file("catalog_inherit_params.yml", tmp_path) copy_test_file("catalog_nested_sub.yml", tmp_path) return open_catalog(target_catalog) intake-0.6.5/intake/container/000077500000000000000000000000001416666122400162425ustar00rootroot00000000000000intake-0.6.5/intake/container/__init__.py000066400000000000000000000071431416666122400203600ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from .dataframe import RemoteDataFrame from .ndarray import RemoteArray from .semistructured import RemoteSequenceSource from ..catalog.remote import RemoteCatalog from ..utils import ContainerRegistryView # each container type is represented in the remote by one of the classes in # this dictionary _container_map = { 'dataframe': RemoteDataFrame, 'python': RemoteSequenceSource, 'ndarray': RemoteArray, 'numpy': RemoteArray, 'catalog': RemoteCatalog } container_map = ContainerRegistryView(_container_map) # public, read-only view __all__ = ['container_map', 'register_container', 'unregister_container'] def register_container(name, container, overwrite=False): """ Add to the container registry, ``intake.container.container_map``. Parameters ---------- name: string container: DataSource overwrite: bool, optional False by default. Raises ------ ValueError If name collides with an existing name in the container registry and overwrite is False. """ if name in _container_map and not overwrite: # If we are re-registering the same object, there is no problem. original = _container_map[name] if original is container: return raise ValueError( f"The container {container} could not be registered for the " f"name {name} because {_container_map[name]} is already " f"registered for that name. Use overwrite=True to force it.") _container_map[name] = container def unregister_container(name): """ Ensure that a given name in the container registry is cleared. This function is idempotent: if the name does not exist in ``intake.container.container_map``, nothing is done, and the function returns None Parameters ---------- name: string Returns ------- container: DataSource or None Whatever was registered for ``name``, or ``None`` """ return _container_map.pop(name, None) def upload(data, path, **kwargs): """Given a concrete data object, store it at given location return Source Use this function to publicly share data which you have created in your python session. Intake will try each of the container types, to see if one of them can handle the input data, and write the data to the path given, in the format most appropriate for the data type, e.g., parquet for pandas or dask data-frames. With the DataSource instance you get back, you can add this to a catalog, or just get the YAML representation for editing (``.yaml()``) and sharing. Parameters ---------- data : instance The object to upload and store. In many cases, the dask or in-memory variant are handled equivalently. path : str Location of the output files; can be, for instance, a network drive for sharing over a VPC, or a bucket on a cloud storage service kwargs : passed to the writer for fine control Returns ------- DataSource instance """ for cls in container_map.values(): try: s = cls._data_to_source(data, path, **kwargs) if s is not None: return s except NotImplementedError: pass raise TypeError('No class found to handle given data') intake-0.6.5/intake/container/base.py000066400000000000000000000105171416666122400175320ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import msgpack import requests from requests.compat import urljoin from intake.source.base import DataSource, Schema from . import serializer from ..compat import unpack_kwargs, pack_kwargs from intake import __version__ class RemoteSource(DataSource): """Base class for all DataSources living on an Intake server""" version = __version__ def __init__(self, url, headers, name, parameters, metadata=None, **kwargs): """ Parameters ---------- url: str Address of the server headers: dict HTTP headers to sue in calls name: str handle to reference this data parameters: dict To pass to the server when it instantiates the data source metadata: dict Additional info kwargs: ignored """ super(RemoteSource, self).__init__(self) self.url = url self.name = name self.parameters = parameters self.headers = headers self._source_id = None self.metadata = metadata or {} self._get_source_id() def _get_source_id(self): if self._source_id is None: payload = dict(action='open', name=self.name, parameters=self.parameters) req = requests.post(urljoin(self.url, '/v1/source'), data=msgpack.packb(payload, **pack_kwargs), **self.headers) req.raise_for_status() response = msgpack.unpackb(req.content, **unpack_kwargs) self._parse_open_response(response) def _parse_open_response(self, response): dtype_descr = response['dtype'] if isinstance(dtype_descr, list): # Reformat because NumPy needs list of tuples dtype_descr = [tuple(x) for x in response['dtype']] self.dtype = dtype_descr self.shape = tuple(response['shape'] or ()) self.npartitions = response['npartitions'] self.metadata = response['metadata'] self._schema = Schema(datashape=None, dtype=self.dtype, shape=self.shape, npartitions=self.npartitions, metadata=self.metadata) self._source_id = response['source_id'] def _get_partition(self, i): raise NotImplementedError def to_dask(self): raise NotImplementedError def get_partition(url, headers, source_id, container, partition): """Serializable function for fetching a data source partition Parameters ---------- url: str Server address headers: dict HTTP header parameters source_id: str ID of the source in the server's cache (unique per user) container: str Type of data, like "dataframe" one of ``intake.container.container_map`` partition: serializable Part of data to fetch, e.g., an integer for a dataframe. """ accepted_formats = list(serializer.format_registry.keys()) accepted_compression = list(serializer.compression_registry.keys()) payload = dict(action='read', source_id=source_id, accepted_formats=accepted_formats, accepted_compression=accepted_compression) if partition is not None: payload['partition'] = partition try: resp = requests.post(urljoin(url, '/v1/source'), data=msgpack.packb(payload, **pack_kwargs), **headers) if resp.status_code != 200: raise Exception('Error reading data') msg = msgpack.unpackb(resp.content, **unpack_kwargs) format = msg['format'] compression = msg['compression'] compressor = serializer.compression_registry[compression] encoder = serializer.format_registry[format] chunk = encoder.decode(compressor.decompress(msg['data']), container) return chunk finally: if resp is not None: resp.close() intake-0.6.5/intake/container/dataframe.py000066400000000000000000000143501416666122400205430ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from distutils.version import LooseVersion from intake.source.base import Schema, DataSource from .base import RemoteSource, get_partition class RemoteDataFrame(RemoteSource): """Dataframe on an Intake server""" name = 'remote_dataframe' container = 'dataframe' def __init__(self, url, headers, **kwargs): super(RemoteDataFrame, self).__init__(url, headers, **kwargs) self.npartitions = kwargs['npartitions'] self.shape = tuple(kwargs['shape']) self.metadata = kwargs['metadata'] self.dtype = kwargs['dtype'] self.verify = kwargs.get('verify', False) self._schema = Schema(npartitions=self.npartitions, extra_metadata=self.metadata, dtype=self.dtype, shape=self.shape) self.dataframe = None def _load_metadata(self): import dask.dataframe as dd import dask.delayed if self.dataframe is None: self.parts = [dask.delayed(get_partition)( self.url, self.headers, self._source_id, self.container, i ) for i in range(self.npartitions)] if LooseVersion(dask.__version__) < LooseVersion("2.5.0"): self.dataframe = dd.from_delayed(self.parts) else: self.dataframe = dd.from_delayed(self.parts, verify_meta=self.verify) return self._schema def _get_partition(self, i): self._load_metadata() return self.parts[i].compute() def read(self): self._load_metadata() return self.dataframe.compute() def to_dask(self): self._load_metadata() return self.dataframe def _close(self): self.dataframe = None @staticmethod def _persist(source, path, **kwargs): """Save dataframe to local persistent store Makes a parquet dataset out of the data using dask.dataframe.to_parquet. This then becomes a data entry in the persisted datasets catalog. Parameters ---------- source: a DataSource instance to save name: str or None Key to refer to this persisted dataset by. If not given, will attempt to get from the source's name kwargs: passed on to dask.dataframe.to_parquet """ try: df = source.to_dask() except NotImplementedError: df = source.read() return RemoteDataFrame._data_to_source(df, path, **kwargs) @staticmethod def _data_to_source(df, path, **kwargs): import dask.dataframe as dd if not is_dataframe_like(df): raise NotImplementedError try: from intake_parquet import ParquetSource except ImportError: raise ImportError("Please install intake-parquet to use persistence" " on dataframe container sources.") if not hasattr(df, 'npartitions'): df = dd.from_pandas(df, npartitions=1) df.to_parquet(path, **kwargs) source = ParquetSource(path, meta={}) return source def is_dataframe_like(df): """ Looks like a Pandas DataFrame Copied from dask.utils """ typ = type(df) return (all(hasattr(typ, name) for name in ('groupby', 'head', 'merge', 'mean')) and all(hasattr(df, name) for name in ('dtypes',)) and not hasattr(typ, 'dtype')) class GenericDataFrame(DataSource): """Create partitioned dataframe from a set of files and any reader This data-source allows you to specify any reader to create dataframes. The reader must take an open file-like object as input, and output a pandas.DataFrame. Parameters ---------- urlpath: str Location of data. May be local files or remote with a protocol specifier. May be a list of files or a glob pattern to be expanded. reader: func f(open_file, **kwargs) -> pandas.DataFrame storage_options: dict Passed to the file-system backend to open files; typically includes credentials for remote storage kwargs: Passed to reader function """ name = 'generic_dataframe' container = 'dataframe' def __init__(self, urlpath, reader, storage_options=None, **kwargs): self.url = urlpath self.reader = reader self.storage_options = storage_options or {} kwargs = kwargs.copy() super().__init__(metadata=kwargs.pop('metadata', {})) self.kwargs = kwargs self.dataframe = None def _load_metadata(self): import dask.dataframe as dd import dask.delayed from fsspec import open_files self.files = open_files(self.url, **self.storage_options) def read_a_file(open_file, reader, kwargs): with open_file as of: df = reader(of, **kwargs) df['path'] = open_file.path return df if self.dataframe is None: self.parts = [ dask.delayed(read_a_file)(open_file, self.reader, self.kwargs) for open_file in self.files ] self.dataframe = dd.from_delayed(self.parts) self.npartitions = self.dataframe.npartitions self.shape = (None, len(self.dataframe.columns)) self.dtype = self.dataframe.dtypes.to_dict() self._schema = Schema(npartitions=self.npartitions, extra_metadata=self.metadata, dtype=self.dtype, shape=self.shape) return self._schema def _get_partition(self, i): self._load_metadata() return self.parts[i].compute() def read(self): self._load_metadata() return self.dataframe.compute() def to_dask(self): self._load_metadata() return self.dataframe def _close(self): self.dataframe = None intake-0.6.5/intake/container/ndarray.py000066400000000000000000000073161416666122400202630ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import datetime import itertools from .base import RemoteSource, Schema, get_partition class RemoteArray(RemoteSource): """nd-array on an Intake server""" name = 'remote_ndarray' container = 'ndarray' def __init__(self, url, headers, **kwargs): super(RemoteArray, self).__init__(url, headers, **kwargs) self.npartitions = kwargs['npartitions'] self.shape = tuple(kwargs['shape']) self.metadata = kwargs['metadata'] self.dtype = kwargs['dtype'] self.chunks = tuple(tuple(c) for c in tuple(kwargs.get('chunks', (-1, )))) self.arr = None self._schema = Schema(npartitions=self.npartitions, extra_metadata=self.metadata, dtype=self.dtype, shape=self.shape, chunks=self.chunks) def _load_metadata(self): import dask.array as da if self.arr is None: name = 'remote-array-' + self._source_id nparts = (range(len(n)) for n in self.chunks) dask = { (name, ) + part: (get_partition, self.url, self.headers, self._source_id, self.container, part) for part in itertools.product(*nparts) } self.arr = da.Array(dask, name=name, chunks=self.chunks, dtype=self.dtype, shape=self.shape) return self._schema def _get_partition(self, i): self._load_metadata() return self.arr.blocks[i].compute() def read_partition(self, i): self._load_metadata() return self._get_partition(i) def read(self): self._load_metadata() return self.arr.compute() def to_dask(self): self._load_metadata() return self.arr def _close(self): self.arr = None @staticmethod def _persist(source, path, component=None, storage_options=None, **kwargs): """Save array to local persistent store Makes a parquet dataset out of the data using zarr. This then becomes a data entry in the persisted datasets catalog. Only works locally for the moment. Parameters ---------- source: a DataSource instance to save name: str or None Key to refer to this persisted dataset by. If not given, will attempt to get from the source's name kwargs: passed on to zarr array creation, see """ try: arr = source.to_dask() except NotImplementedError: arr = source.read() return RemoteArray._data_to_source(arr, path, component=None, storage_options=None, **kwargs) @staticmethod def _data_to_source(arr, path, component=None, storage_options=None, **kwargs): from dask.utils import is_arraylike from dask.array import to_zarr, from_array from ..source.zarr import ZarrArraySource if not is_arraylike(arr): raise NotImplementedError if not hasattr(arr, 'npartitions'): arr = from_array(arr, chunks='auto') to_zarr(arr, path, component=None, storage_options=storage_options, **kwargs) source = ZarrArraySource(path, storage_options, component) return source intake-0.6.5/intake/container/persist.py000066400000000000000000000144061416666122400203120ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import posixpath import time import yaml from ..catalog.local import YAMLFileCatalog, CatalogEntry from ..source import DataSource from ..config import conf, logger from ..source import import_name from ..utils import make_path_posix class PersistStore(YAMLFileCatalog): """ Specialised catalog for persisted data-sources """ _singleton = [None] def __new__(cls, *args, **kwargs): # singleton pattern: only one instance will ever exist if cls._singleton[0] is None: o = object.__new__(cls) o._captured_init_args = args o._captured_init_kwargs = kwargs cls._singleton[0] = o return cls._singleton[0] def __init__(self, path=None, **storage_options): from fsspec import filesystem from fsspec.core import split_protocol self.pdir = make_path_posix(path or conf.get('persist_path')) protocol, _ = split_protocol(self.pdir) path = posixpath.join(self.pdir, 'cat.yaml') self.fs = filesystem(protocol, **storage_options) super(PersistStore, self).__init__(path) def _load(self): # try to make sure there's always something to load from try: self.fs.mkdirs(self.pdir) except (OSError, IOError): pass try: super(PersistStore, self)._load() except: # if destination doesn't load, we have no entries # likely will get exceptions if try to persist self._entries = {} def getdir(self, source): """Clear/create a directory to store a persisted dataset into""" from dask.base import tokenize subdir = posixpath.join(self.pdir, tokenize(source)) try: self.fs.rm(subdir, True) except Exception as e: logger.debug("Directory clear failed: %s" % e) self.fs.mkdirs(subdir) return subdir def add(self, key, source): """Add the persisted source to the store under the given key key : str The unique token of the un-persisted, original source source : DataSource instance The thing to add to the persisted catalogue, referring to persisted data """ from intake.catalog.local import LocalCatalogEntry try: with self.fs.open(self.path, 'rb') as f: data = yaml.safe_load(f) except IOError: data = {'sources': {}} ds = source._yaml()['sources'][source.name] data['sources'][key] = ds with self.fs.open(self.path, 'wb') as fo: fo.write(yaml.dump(data, default_flow_style=False).encode()) self._entries[key] = LocalCatalogEntry( name=ds['metadata']['original_name'], direct_access=True, cache=[], parameters=[], catalog_dir=None, **data['sources'][key]) def get_tok(self, source): """Get string token from object Strings are assumed to already be a token; if source or entry, see if it is a persisted thing ("original_tok" is in its metadata), else generate its own token. """ from dask.base import tokenize if isinstance(source, str): return source if isinstance(source, CatalogEntry): return source._metadata.get('original_tok', tokenize(source)) if isinstance(source, DataSource): return source.metadata.get('original_tok', tokenize(source)) raise IndexError def remove(self, source, delfiles=True): """Remove a dataset from the persist store source : str or DataSource or Lo If a str, this is the unique ID of the original source, which is the key of the persisted dataset within the store. If a source, can be either the original or the persisted source. delfiles : bool Whether to remove the on-disc artifact """ source = self.get_tok(source) with self.fs.open(self.path, 'rb') as f: data = yaml.safe_load(f.read().decode()) data['sources'].pop(source, None) with self.fs.open(self.path, 'wb') as fo: fo.write(yaml.dump(data, default_flow_style=False).encode()) if delfiles: path = posixpath.join(self.pdir, source) try: self.fs.rm(path, True) except Exception: logger.debug("Failed to delete persisted data dir %s" % path) self._entries.pop(source, None) def clear(self): """Remove all persisted sources, files and catalog""" self.fs.rm(self.pdir, True) def backtrack(self, source): """Given a unique key in the store, recreate original source""" key = self.get_tok(source) s = self[key]() meta = s.metadata['original_source'] cls = meta['cls'] args = meta['args'] kwargs = meta['kwargs'] cls = import_name(cls) sout = cls(*args, **kwargs) sout.metadata = s.metadata['original_metadata'] sout.name = s.metadata['original_name'] return sout def refresh(self, key): """Recreate and re-persist the source for the given unique ID""" s0 = self[key] s = self.backtrack(key) s.persist(**s0.metadata['persist_kwargs']) def needs_refresh(self, source): """Has the (persisted) source expired in the store Will return True if the source is not in the store at all, if it's TTL is set to None, or if more seconds have passed than the TTL. """ from dask.base import tokenize now = time.time() token = tokenize(source) if token in self: s0 = self[token] if self[token].metadata.get('ttl', None): then = s0.metadata['timestamp'] if s0.metadata['ttl'] < then - now: return True return False return True store = PersistStore() intake-0.6.5/intake/container/semistructured.py000066400000000000000000000066601416666122400217060ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import datetime from intake.container.base import RemoteSource, get_partition from intake.source.base import Schema class RemoteSequenceSource(RemoteSource): """Sequence-of-things source on an Intake server""" name = 'remote_sequence' container = 'python' def __init__(self, url, headers, **kwargs): self.url = url self.npartitions = kwargs.get('npartition', 1) self.partition_access = self.npartitions > 1 self.headers = headers self.metadata = kwargs.get('metadata', {}) self._schema = Schema(npartitions=self.npartitions, extra_metadata=self.metadata) self.bag = None super(RemoteSequenceSource, self).__init__(url, headers, **kwargs) def _load_metadata(self): import dask.bag as db import dask if self.bag is None: self.parts = [dask.delayed(get_partition)( self.url, self.headers, self._source_id, self.container, i ) for i in range(self.npartitions)] self.bag = db.from_delayed(self.parts) return self._schema def _get_partition(self, i): self._load_metadata() return self.parts[i].compute() def read(self): self._load_metadata() return self.bag.compute() def to_dask(self): self._load_metadata() return self.bag def _close(self): self.bag = None @staticmethod def _persist(source, path, encoder=None, **kwargs): """Save list to files using encoding encoder : None or one of str|json|pickle None is equivalent to str """ import pickle import json encoder = {None: str, 'str': str, 'json': json.dumps, 'pickle': pickle.dumps}[encoder] try: b = source.to_dask() except NotImplementedError: b = source.read() return RemoteSequenceSource._data_to_source(b, path, encoder, **kwargs) @staticmethod def _data_to_source(b, path, encoder=None, storage_options=None, **kwargs): import dask.bag as db import posixpath from fsspec import open_files import dask import pickle import json from intake.source.textfiles import TextFilesSource encoder = {None: str, 'str': str, 'json': json.dumps, 'pickle': pickle.dumps}.get(encoder, encoder) if not hasattr(b, 'to_textfiles'): try: b = db.from_sequence(b, npartitions=1) except TypeError: raise NotImplementedError files = open_files(posixpath.join(path, 'part.*'), mode='wt', num=b.npartitions, **(storage_options or {})) dwrite = dask.delayed(write_file) out = [dwrite(part, f, encoder) for part, f in zip(b.to_delayed(), files)] dask.compute(out) s = TextFilesSource(posixpath.join(path, 'part.*'), storage_options=storage_options) return s def write_file(data, fo, encoder): with fo as f: for d in data: f.write(encoder(d)) intake-0.6.5/intake/container/serializer.py000066400000000000000000000101601416666122400207630ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from collections import OrderedDict import gzip import io import pickle import msgpack from ..compat import pack_kwargs class NoneCompressor(object): name = 'none' def compress(self, data): return data def decompress(self, data): return data class GzipCompressor(object): name = 'gzip' def compress(self, data): buf = io.BytesIO() with gzip.GzipFile(fileobj=buf, mode='wb', compresslevel=1) as f: f.write(data) return buf.getvalue() def decompress(self, data): with gzip.GzipFile(fileobj=io.BytesIO(data)) as f: return f.read() try: import msgpack_numpy except ImportError: msgpack_numpy = None def check_pyarrow(): try: import pyarrow except ImportError: raise ImportError("Serializing DataFrames requires pyarrow.") return pyarrow class MsgPackSerializer(object): # TODO: This is ugly, should maybe transition to # distributed.protocol.serialize name = 'msgpack' def encode(self, obj, container): from ..compat import np_pack_kwargs if container in ['ndarray', 'xarray'] and msgpack_numpy: return msgpack.packb(obj, **np_pack_kwargs) elif container == 'dataframe': # Use pyarrow for serializing DataFrames, rather than # msgpack: https://github.com/intake/intake/issues/460 pa = check_pyarrow() context = pa.default_serialization_context() # This eventually goes to msgpack.packb, which doesn't # directly accept PyArrow Buffer objects. Need to wrap # it in a memoryview to avoid a TypeError. return memoryview(context.serialize(obj).to_buffer()) else: return msgpack.packb(obj, **pack_kwargs) def decode(self, bytestr, container): from ..compat import unpack_kwargs if container in ['ndarray', 'xarray'] and msgpack_numpy: from ..compat import np_unpack_kwargs return msgpack.unpackb(bytestr, **np_unpack_kwargs) elif container == 'dataframe': pa = check_pyarrow() context = pa.default_serialization_context() return context.deserialize(bytestr) else: return msgpack.unpackb(bytestr, **unpack_kwargs) class PickleSerializer(object): def __init__(self, protocol_level): self._protocol_level = protocol_level self.name = 'pickle%d' % protocol_level def encode(self, obj, container): return pickle.dumps(obj, protocol=self._protocol_level) def decode(self, bytestr, container): return pickle.loads(bytestr) class ComboSerializer(object): def __init__(self, format_encoder, compressor): self._format_encoder = format_encoder self._compressor = compressor self.format_name = format_encoder.name self.compressor_name = compressor.name def encode(self, obj, container): return self._compressor.compress( self._format_encoder.encode(obj, container)) def decode(self, bytestr, container): return self._format_encoder.decode( self._compressor.decompress(bytestr), container) compressors = [GzipCompressor(), NoneCompressor()] try: import snappy class SnappyCompressor(object): name = 'snappy' def compress(self, data): return snappy.compress(data) def decompress(self, data): return snappy.decompress(data) compressors.insert(0, SnappyCompressor()) except ImportError: pass # Insert in preference order picklers = [PickleSerializer(protocol) for protocol in [2, 1]] serializers = [MsgPackSerializer()] + picklers format_registry = OrderedDict([(e.name, e) for e in serializers]) compression_registry = OrderedDict([(e.name, e) for e in compressors]) intake-0.6.5/intake/container/tests/000077500000000000000000000000001416666122400174045ustar00rootroot00000000000000intake-0.6.5/intake/container/tests/__init__.py000066400000000000000000000005341416666122400215170ustar00rootroot00000000000000#!/usr/bin/env python #----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/container/tests/test_generics.py000066400000000000000000000015271416666122400226210ustar00rootroot00000000000000#!/usr/bin/env python #----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import posixpath import pytest from intake.container.dataframe import GenericDataFrame here = os.path.abspath(os.path.dirname(__file__)) def test_generic_dataframe(): pd = pytest.importorskip('pandas') def make_a_part(openfile): return pd.DataFrame([[0]], columns=['x']) url = posixpath.join(here, '*.py') s = GenericDataFrame(url, reader=make_a_part) ddf = s.to_dask() assert ddf.compute().x.unique() == [0] df = s.read() assert len(df) == len(ddf) intake-0.6.5/intake/container/tests/test_persist.py000066400000000000000000000034771416666122400225210ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest import time from intake.container.persist import store from intake.source.textfiles import TextFilesSource from intake.source.base import DataSource def test_store(temp_cache): from dask.base import tokenize assert list(store) == [] s = DataSource(metadata={'original_name': 'blah'}) token = tokenize(s) store.add(token, s) time.sleep(0.2) store.ttl = 0 assert list(store) == [token] assert store.get_tok(s) == token assert store.needs_refresh(s) is False # because it has no TTL store.remove(s) time.sleep(0.2) assert list(store) == [] assert os.path.exists(store.pdir) store.clear() time.sleep(0.2) assert not os.path.exists(store.pdir) assert list(store) == [] def test_backtrack(temp_cache): s = TextFilesSource("*.py") s2 = s.persist() s3 = store.backtrack(s2) assert s3 == s def test_persist_with_nonnumeric_ttl_raises_error(temp_cache): s = TextFilesSource("*.py") with pytest.raises(ValueError, match="User-provided ttl was a string"): s.persist(ttl='a string') class DummyDataframe(DataSource): name = 'dummy' container = 'dataframe' def __init__(self, *args): DataSource.__init__(self) def read(self): import pandas as pd return pd.DataFrame({'a': [0]}) def test_undask_persist(temp_cache): pytest.importorskip('intake_parquet') s = DummyDataframe() s2 = s.persist() assert s.read().to_dict() == s2.read().to_dict() intake-0.6.5/intake/interface/000077500000000000000000000000001416666122400162205ustar00rootroot00000000000000intake-0.6.5/intake/interface/__init__.py000066400000000000000000000034301416666122400203310ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from distutils.version import LooseVersion gl = globals() def do_import(): error = too_old = False try: import panel as pn too_old = LooseVersion(pn.__version__) < LooseVersion("0.9.5") except ImportError as e: error = e if too_old or error: raise RuntimeError("Please install panel to use the GUI `conda " "install -c conda-forge panel>=0.8.0`. Import " "failed with error: %s" % error) from .gui import GUI css = """ .scrolling { overflow: scroll; } """ pn.config.raw_css.append(css) # add scrolling class from css (panel GH#383, GH#384) pn.extension() gl['instance'] = GUI() def __getattr__(attr): if attr == 'instance': do_import() return gl['instance'] def output_notebook(inline=True, logo=False): """ Load the notebook extension Parameters ---------- inline : boolean (optional) Whether to inline JS code or load it from a CDN logo : boolean (optional) Whether to show the logo(s) """ try: import hvplot except ImportError: raise ImportError("The intake plotting API requires hvplot." "hvplot may be installed with:\n\n" "`conda install -c pyviz hvplot` or " "`pip install hvplot`.") import holoviews as hv return hv.extension('bokeh', inline=inline, logo=logo) intake-0.6.5/intake/interface/base.py000066400000000000000000000214161416666122400175100ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from collections import OrderedDict import os import panel as pn MAX_WIDTH = 5000 here = os.path.abspath(os.path.dirname(__file__)) ICONS = { 'logo': os.path.join(here, 'icons', 'logo.png'), 'error': os.path.join(here, 'icons', 'baseline-error-24px.svg'), } def enable_widget(widget, enable=True): """Set disabled on widget""" widget.disabled = not enable def coerce_to_list(items, preprocess=None): """Given an instance or list, coerce to list. With optional preprocessing. """ if not isinstance(items, list): items = [items] if preprocess: items = list(map(preprocess, items)) return items class Base(object): """ Base class for composable panel objects that make up the GUI. Parameters ---------- children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. visible: bool whether or not the instance should be visible. When not visible ``panel`` is empty. logo : bool, opt whether to show the intake logo in a panel to the left of the main panel. Default is False """ children = None panel = None watchers = None visible_callback = None logo_panel = pn.Column( pn.pane.PNG(ICONS['logo'], align='center'), margin=(25, 0, 0, 0), width=50) logo = False def __init__(self, visible=True, visible_callback=None, logo=False): self.visible = visible self.visible_callback = visible_callback self.logo = logo @property def panel(self): if not self.logo: return self._panel return pn.Row(self.logo_panel, self._panel, margin=0) @panel.setter def panel(self, panel): self._panel = panel def servable(self, *args, **kwargs): return self.panel.servable(*args, **kwargs) def show(self, *args, **kwargs): return self.panel.show(*args, **kwargs) def __repr__(self): """Print output""" return self.panel.__repr__() def _repr_mimebundle_(self, *args, **kwargs): """Display in a notebook or a server""" try: return self.panel._repr_mimebundle_(*args, **kwargs) except: raise NotImplementedError("Panel does not seem to be set " "up properly") def setup(self): """Should instantiate widgets, set ``children``, and set watchers""" raise NotImplementedError @property def visible(self): """Whether or not the instance should be visible.""" return self._visible @visible.setter def visible(self, visible): """When visible changed, do setup or unwatch and call visible_callback""" self._visible = visible pan = getattr(self._panel, '_layout', self._panel) if visible and len(pan.objects) == 0: self.setup() self._panel.extend(self.children) elif not visible and len(pan.objects) > 0: self.unwatch() pan.clear() if self.visible_callback: self.visible_callback(visible) def unwatch(self): """Get rid of any lingering watchers and remove from list""" if self.watchers is not None: unwatched = [] for watcher in self.watchers: watcher.inst.param.unwatch(watcher) unwatched.append(watcher) self.watchers = [w for w in self.watchers if w not in unwatched] def __getstate__(self): """Serialize the current state of the object""" return {'visible': self.visible} def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.visible = state.get('visible', True) return self @classmethod def from_state(cls, state): """Create a new object from a serialized exising object. Example ------- original = cls() copy = cls.from_state(original.__getstate__()) """ return cls().__setstate__(state) class BaseSelector(Base): """Base class for capturing selector logic. Parameters ---------- preprocess: function run on every input value when creating options widget: panel widget selector widget which this class keeps uptodate with class properties """ preprocess = None widget = None @property def labels(self): """Labels of items in widget""" return self.widget.labels @property def items(self): """Available items to select from""" return self.widget.values @items.setter def items(self, items): """When setting items make sure widget options are uptodate""" if items is not None: self.options = items def _create_options(self, items): """Helper method to create options from list, or instance. Applies preprocess method if available to create a uniform output """ return OrderedDict(map(lambda x: (x.name, x), coerce_to_list(items, self.preprocess))) @property def options(self): """Options available on the widget""" return self.widget.options @options.setter def options(self, new): """Set options from list, or instance of named item Over-writes old options """ options = self._create_options(new) if self.widget.value: self.widget.set_param(options=options, value=list(options.values())[:1]) else: self.widget.options = options self.widget.value = list(options.values())[:1] def add(self, items): """Add items to options""" options = self._create_options(items) for k, v in options.items(): if k in self.labels and v not in self.items: options.pop(k) count = 0 while f'{k}_{count}' in self.labels: count += 1 options[f'{k}_{count}'] = v self.widget.options.update(options) self.widget.param.trigger('options') self.widget.value = list(options.values())[:1] def remove(self, items): """Remove items from options""" items = coerce_to_list(items) new_options = {k: v for k, v in self.options.items() if v not in items} self.widget.options = new_options self.widget.param.trigger('options') @property def selected(self): """Value selected on the widget""" return self.widget.value @selected.setter def selected(self, new): """Set selected from list or instance of object or name. Over-writes existing selection """ def preprocess(item): if isinstance(item, str): return self.options[item] return item items = coerce_to_list(new, preprocess) self.widget.value = items class BaseView(Base): def __getstate__(self, include_source=True): """Serialize the current state of the object. Set include_source to False when using with another panel that will include source.""" if include_source: return { 'visible': self.visible, 'label': self.source._name, 'source': self.source.__getstate__(), } else: return {'visible': self.visible} def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" if 'source' in state: self.source = state['source'] self.visible = state.get('visible', True) @property def source(self): return self._source @source.setter def source(self, source): """When the source gets updated, update the select widget""" if isinstance(source, list): # if source is a list, get first item or None source = source[0] if len(source) > 0 else None self._source = source intake-0.6.5/intake/interface/catalog/000077500000000000000000000000001416666122400176325ustar00rootroot00000000000000intake-0.6.5/intake/interface/catalog/__init__.py000066400000000000000000000005051416666122400217430ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #-----------------------------------------------------------------------------intake-0.6.5/intake/interface/catalog/add.py000066400000000000000000000262511416666122400207420ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import ast import os from functools import partial import intake import panel as pn import fsspec from fsspec.registry import known_implementations from ..base import Base, MAX_WIDTH, enable_widget, ICONS class FileSelector(Base): """ Panel interface for picking files The current path is stored in .path and the current selection is stored in .url. Parameters ---------- filters: list of string extentions that are included in the list of files - correspond to catalog extensions. done_callback: func, opt called when the object's main job has completed. In this case, selecting a file. Attributes ---------- url: str path to local catalog file children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, filters=['yaml', 'yml'], done_callback=None, **kwargs): self.filters = filters self.panel = pn.Column(name='Local', width_policy='max', margin=0) self.done_callback = done_callback self.fs = fsspec.filesystem("file") super().__init__(**kwargs) def setup(self): self.path_text = pn.widgets.TextInput(value=os.getcwd() + '/', width_policy='max') self.protocol = pn.widgets.Select(options=list(sorted(known_implementations)), value='file', name='protocol') self.storage_options = pn.widgets.TextInput(name='kwargs', value="{}") self.go = pn.widgets.Button(name='⇨') self.validator = pn.pane.SVG(None, width=25) self.main = pn.widgets.MultiSelect(size=15, width_policy='max') self.home = pn.widgets.Button(name='🏠', width=40, height=30) self.up = pn.widgets.Button(name='‹', width=30, height=30) self.make_options() self.watchers = [ self.go.param.watch(self.go_clicked, 'clicks'), self.protocol.param.watch(self.protocol_changed, 'value'), #self.path_text.param.watch(self.validate, ['value']), #self.path_text.param.watch(self.make_options, ['value']), self.home.param.watch(self.go_home, 'clicks'), self.up.param.watch(self.move_up, 'clicks'), self.main.param.watch(self.move_down, ['value']) ] self.children = [ pn.Row(self.protocol, self.storage_options), pn.Row(self.home, self.up, self.path_text, self.go, margin=0), self.main ] def protocol_changed(self, *_): self.path_text.value = "" self.main.options = [] self.main.value = [] def go_clicked(self, *_): self.fs = fsspec.filesystem( self.protocol.value, **ast.literal_eval(self.storage_options.value)) self.make_options() @property def path(self): return self.path_text.value @property def url(self): """Path to local catalog file""" return (self.protocol.value + "://" + os.path.join(self.path, self.main.value[0])) def move_up(self, arg=None): self.path_text.value = self.fs._parent(self.path_text.value) self.make_options() def go_home(self, arg=None): self.protocol.value = 'file' self.path_text.value = os.getcwd() + os.path.sep def validate(self, arg=None): """Check that inputted path is valid - set validator accordingly""" if os.path.isdir(self.path): self.validator.object = None else: self.validator.object = ICONS['error'] def make_options(self, arg=None): if self.done_callback: self.done_callback(False) out = [] try: for f in self.fs.ls(self.path, True): bn = os.path.basename(f['name'].rstrip('/')) if bn.startswith('.'): continue elif f['type'] == 'directory': out.append(bn + '/') elif not self.filters or any(bn.endswith(ext) for ext in self.filters): out.append(bn) except Exception as e: print(e) self.main.value = [] self.main.options = sorted(out) def move_down(self, *events): for event in events: if event.name == 'value' and len(event.new) > 0: fn = event.new[0] if fn.endswith('/'): if self.path_text.value: self.path_text.value = os.path.join(self.path_text.value, fn) else: self.path_text.value = fn self.make_options() elif self.done_callback: self.done_callback(True) def __getstate__(self): """Serialize the current state of the object.""" return { 'path': self.path, 'selected': self.main.value } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.path_text.value = state['path'] self.main.value = state['selected'] return self class URLSelector(Base): """ Panel interface for inputting a URL to a remote catalog The inputted URL is stored in .url. Attributes ---------- url: str url to remote files (including protocol) children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, **kwargs): self.panel = pn.Row(name='URL', width_policy='max', margin=0) super().__init__(**kwargs) def setup(self): self.main = pn.widgets.TextInput( placeholder="Full URL with protocol", width_policy='max') self.children = ['URL:', self.main] @property def url(self): """URL to remote files (including protocol)""" return self.main.value def __getstate__(self): """Serialize the current state of the object.""" return {'url': self.url} def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.main.value = state['url'] return self class CatAdder(Base): """Panel for adding new cats from local file or remote Parameters ---------- done_callback: function with cat as input function that is called when the "Add Catalog" button is clicked. Attributes ---------- cat_url: str url to remote files or path to local files. Depends on active tab cat: catalog catalog object initialized from from cat_url children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ tabs = None def __init__(self, done_callback=None, **kwargs): self.done_callback = done_callback self.panel = pn.Column(name='Add Catalog', width_policy='max', max_width=MAX_WIDTH, margin=0) self.widget = pn.widgets.Button(name='Add Catalog', disabled=True, width_policy='min') self.fs = FileSelector(done_callback=partial(enable_widget, self.widget)) self.url = URLSelector() super().__init__(**kwargs) def setup(self): self.selectors = [self.fs, self.url] self.tabs = pn.Tabs(*map(lambda x: x.panel, self.selectors)) self.validator = pn.pane.SVG(None, width=25) self.watchers = [ self.widget.param.watch(self.add_cat, 'clicks'), self.tabs.param.watch(self.tab_change, 'active'), self.fs.main.param.watch(self.remove_error, 'value'), self.url.main.param.watch(self.remove_error, 'value'), ] self.children = [self.tabs, pn.Row(self.widget, self.validator)] @property def cat_url(self): """URL to remote files or path to local files. Depends on active tab.""" url = self.selectors[self.tabs.active].url if self.selectors[self.tabs.active] is self.fs: fs = self.fs.fs else: fs = None return url, fs @property def cat(self): """Catalog object initialized from from cat_url""" # might want to do some validation in here url, fs = self.cat_url if fs: return intake.open_catalog(url, fs=fs) else: return intake.open_catalog(url) def add_cat(self, arg=None): """Add cat and close panel""" try: self.done_callback(self.cat) self.visible = False except Exception as e: self.validator.object = ICONS['error'] raise e def remove_error(self, *args): """Remove error from the widget""" self.validator.object = None def tab_change(self, event): """When tab changes remove error, and enable widget if on url tab""" self.remove_error() if event.new == 1: self.widget.disabled = False def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'local': self.fs.__getstate__(), 'remote': self.url.__getstate__(), 'active': self.tabs.active if self.tabs else 0 } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.fs.__setstate__(state['local']) self.url.__setstate__(state['remote']) self.visible = state.get('visible', True) if self.visible: self.tabs.active = state['active'] return self intake-0.6.5/intake/interface/catalog/gui.py000066400000000000000000000137101416666122400207720ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from functools import partial import panel as pn from ..base import Base, enable_widget, MAX_WIDTH from .select import CatSelector from .add import CatAdder from .search import Search class CatGUI(Base): """ Top level GUI panel that contains controls and all visible sub-panels This class is responsible for coordinating the inputs and outputs of various sup-panels and their effects on each other. Parameters ---------- cats: list of catalogs catalogs used to initalize the select done_callback: func, opt called when the object's main job has completed. In this case, selecting catalog(s). Attributes ---------- children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, cats=None, done_callback=None, **kwargs): self._cats = cats self.panel = pn.Column(name='Catalogs', width_policy='max', max_width=MAX_WIDTH) self.done_callback = done_callback or (lambda x: x) self.add_widget = pn.widgets.Toggle( name='＋', value=False, disabled=False, width=50) self.remove_widget = pn.widgets.Button( name='―', disabled=True, width=50) self.search_widget = pn.widgets.Toggle( name='🔍', value=False, disabled=True, width=50) self.controls = [ self.add_widget, self.remove_widget, self.search_widget, ] self.control_panel = pn.Row(name='Controls', margin=0) self.select = CatSelector(cats=self._cats, done_callback=self.callback) self.add = CatAdder(done_callback=self.select.add, visible=self.add_widget.value, visible_callback=partial(setattr, self.add_widget, 'value')) self.search = Search(cats=self.cats, done_callback=self.select.add, visible=self.search_widget.value, visible_callback=partial(setattr, self.search_widget, 'value')) self.children = [ self.select.panel, self.control_panel, self.search.panel, self.add.panel, ] super().__init__(**kwargs) def setup(self): self.watchers = [ self.add_widget.link(self.add, value='visible'), self.search_widget.param.watch(self.on_click_search_widget, 'value'), self.remove_widget.param.watch(self.select.remove_selected, 'clicks'), ] @Base.visible.setter def visible(self, visible): """When visible changed, do setup or unwatch and call visible_callback""" self._visible = visible if visible and len(self._panel.objects) == 0: self.setup() self.select.visible = True self.control_panel.extend(self.controls) self._panel.extend(self.children) elif not visible and len(self._panel.objects) > 0: self.unwatch() # do children self.select.visible = False self.control_panel.clear() self.search.visible = False self.add.visible = False self._panel.clear() if self.visible_callback: self.visible_callback(visible) def callback(self, cats): """When a catalog is selected, enable widgets that depend on that condition and do done_callback""" enable = bool(cats) if not enable: # close search if it is visible self.search.visible = False enable_widget(self.search_widget, enable) enable_widget(self.remove_widget, enable) if self.done_callback: self.done_callback(cats) def on_click_search_widget(self, event): """ When the search control is toggled, set visibility and hand down cats""" self.search.cats = self.cats self.search.visible = event.new if self.search.visible: self.search.watchers.append( self.select.widget.link(self.search, value='cats')) @property def cats(self): """Cats that have been selected from the select""" return self.select.selected def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'select': self.select.__getstate__(), 'add': self.add.__getstate__(), 'search': self.search.__getstate__(include_cats=False), } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.visible = state.get('visible', True) if self.visible: self.select.__setstate__(state['select']) self.add.__setstate__(state['add']) self.search.__setstate__(state['search']) return self @classmethod def from_state(cls, state): """Create a new object from a serialized verion of another one. Example ------- original = CatGUI() copy = CatGUI.from_state(original.__getstate__()) """ return cls(cats=[]).__setstate__(state) intake-0.6.5/intake/interface/catalog/search.py000066400000000000000000000126271416666122400214610ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import panel as pn from ..base import Base, MAX_WIDTH class SearchInputs(Base): """Input areas to control search parameters Attributes ---------- text: str text to use in search. Displayed in text_widget depth: int or 'All' depth of nestedness to use in search. Displayed in depth_widget. children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, **kwargs): self.panel = pn.Row(name='Search Inputs', height_policy='min', margin=0) super().__init__(**kwargs) def setup(self): text_label = pn.pane.Markdown('Search Text:', align='center') depth_label = pn.pane.Markdown('Depth:', align='center') self.text_widget = pn.widgets.TextInput( placeholder="Set of words", width_policy='max', align='center') self.depth_widget = pn.widgets.Select( options=['1', '2', '3', '4', '5', 'All'], width=80, height=30, align='center') self.children = [text_label, self.text_widget, depth_label, self.depth_widget] @property def text(self): """Text to use in search. Displayed in text_widget""" return self.text_widget.value @text.setter def text(self, text): self.text_widget.value = text @property def depth(self): """Depth of nestedness to use in search. Displayed in depth_widget""" return int(self.depth_widget.value) if self.depth_widget.value != 'All' else 99 @depth.setter def depth(self, depth): if isinstance(depth, int): depth = str(depth) if depth <=5 else 'All' self.depth_widget.value = depth def __getstate__(self): """Serialize the current state of the object""" return { 'text': self.text, 'depth': self.depth, } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.text = state['text'] self.depth = state['depth'] return self class Search(Base): """Search panel for searching a list of catalogs Parameters ---------- cats: list of catalogs catalogs that will be searched done_callback: function with cats as input function that is called when new cats have been generated via the search functionality Attributes ---------- children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, cats, done_callback=None, **kwargs): self.cats = cats self.done_callback = done_callback self.panel = pn.Row(name='Search', height_policy='min', width_policy='max', max_width=MAX_WIDTH, margin=0) self.inputs = SearchInputs() super().__init__(**kwargs) def setup(self): self.widget = pn.widgets.Button(name='🔍', width=50, align='center') self.watchers = [ self.widget.param.watch(self.do_search, 'clicks') ] self.children = [self.inputs.panel, self.widget] def do_search(self, arg=None): """Do search and close panel""" new_cats = [] for cat in self.cats: new_cat = cat.search(self.inputs.text, depth=self.inputs.depth) if len(list(new_cat)) > 0: new_cats.append(new_cat) if len(new_cats) > 0: self.done_callback(new_cats) self.visible = False def __getstate__(self, include_cats=True): """Serialize the current state of the object. Set include_cats to False when using with another panel that will include cats.""" state = { 'visible': self.visible, 'inputs': self.inputs.__getstate__() } if include_cats: state['cats'] = [cat.__getstate__() for cat in self.cats] return state def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" if 'cats' in state: self.cats = state['cats'] self.visible = state.get('visible', True) self.inputs.__setstate__(state['inputs']) return self intake-0.6.5/intake/interface/catalog/select.py000066400000000000000000000140071416666122400214650ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from collections import OrderedDict import intake from intake.utils import remake_instance import panel as pn from ..base import BaseSelector class CatSelector(BaseSelector): """ The cat selector takes a variety of inputs such as a catalog instance, a path to a catalog, or a list of either of those. Once the cat selector is populated with these options, the user can select which catalog(s) are of interest. These catalogs are stored on the ``selected`` property of the class. Parameters ---------- cats: list of catalogs, opt catalogs used to initalize, can be provided as objects or urls pointing to local or remote catalogs. done_callback: func, opt called when the object's main job has completed. In this case, selecting catalog(s). Attributes ---------- selected: list of cats list of selected cats items: list of cats list of all the catalog values represented in widget labels: list of str list of labels for all the catalog represented in widget options: dict dict of widget labels and values (same as `dict(zip(self.labels, self.values))`) children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ children = [] @classmethod def preprocess(cls, cat): """Function to run on each cat input""" if isinstance(cat, str): cat = intake.open_catalog(cat) return cat def __init__(self, cats=None, done_callback=None, **kwargs): """Set cats to initialize the class. The order of the calls in this method matters and is different from the order in other panel init methods because the top level gui class needs to be able to watch these widgets. """ self.panel = pn.Column(name='Select Catalog', margin=0) self.widget = pn.widgets.MultiSelect(size=9, min_width=200, width_policy='min') self.done_callback = done_callback super().__init__(**kwargs) self.items = cats if cats is not None else [intake.cat] def setup(self): label = pn.pane.Markdown('#### Catalogs', max_height=40) self.watchers = [ self.widget.param.watch(self.callback, 'value'), ] self.children = [label, self.widget] def callback(self, event): self.expand_nested(event.new) if self.done_callback: self.done_callback(event.new) def expand_nested(self, cats): """Populate widget with nested catalogs""" down = '│' right = '└──' def get_children(parent): out = [] for k, e in parent._entries.items(): try: if e.describe()['container'] == 'catalog': out.append(e()) except IOError: # may fail to load pass return out if len(cats) == 0: return cat = cats[0] old = list(self.options.items()) name = next(k for k, v in old if v == cat) index = next(i for i, (k, v) in enumerate(old) if v == cat) if right in name: prefix = f'{name.split(right)[0]}{down} {right}' else: prefix = right children = get_children(cat) for i, child in enumerate(children): old.insert(index+i+1, (f'{prefix} {child.name}', child)) self.widget.options = dict(old) def collapse_nested(self, cats, max_nestedness=10): """ Collapse any items that are nested under cats. `max_nestedness` acts as a fail-safe to prevent infinite looping. """ children = [] removed = set() nestedness = max_nestedness old = list(self.widget.options.values()) nested = [cat for cat in old if getattr(cat, 'cat') is not None] parents = {cat.cat for cat in nested} parents_to_remove = cats while len(parents_to_remove) > 0 and nestedness > 0: for cat in nested: if cat.cat in parents_to_remove: children.append(cat) removed = removed.union(parents_to_remove) nested = [cat for cat in nested if cat not in children] parents_to_remove = {c for c in children if c in parents - removed} nestedness -= 1 self.remove(children) def remove_selected(self, *args): """Remove the selected catalog - allow the passing of arbitrary args so that buttons work. Also remove any nested catalogs.""" self.collapse_nested(self.selected) self.remove(self.selected) def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'labels': self.labels, 'cats': [cat.__getstate__() for cat in self.items], 'selected': [k for k, v in self.options.items() if v in self.selected], } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" cats, labels = state['cats'], state['labels'] self.widget.options = {l: remake_instance(cat) for l, cat in zip(labels, cats)} self.selected = state.get('selected', []) self.visible = state.get('visible', True) return self intake-0.6.5/intake/interface/catalog/tests/000077500000000000000000000000001416666122400207745ustar00rootroot00000000000000intake-0.6.5/intake/interface/catalog/tests/__init__.py000066400000000000000000000000001416666122400230730ustar00rootroot00000000000000intake-0.6.5/intake/interface/catalog/tests/test_catalog_add.py000066400000000000000000000063571416666122400246420ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest pn = pytest.importorskip('panel') def callback(args): """Raises an error if called""" raise ValueError('Callback provided:', args) @pytest.fixture def file_selector(): from ..add import FileSelector return FileSelector() @pytest.fixture def url_selector(): from ..add import URLSelector return URLSelector() @pytest.fixture def cat_adder(): from ..add import CatAdder return CatAdder() def test_file_selector(file_selector): assert file_selector.path == os.getcwd() + '/' def test_file_selector_raises_error_if_no_file_selected(file_selector): with pytest.raises(IndexError, match='list index out of range'): file_selector.url def test_file_selector_edit_path(file_selector): expected = os.getcwd() file_selector.move_up() file_selector.path_text.value = os.getcwd() assert file_selector.validator.object is None assert file_selector.path == expected def test_file_selector_go_home(file_selector): expected = os.getcwd() + '/' assert file_selector.path == expected file_selector.move_up() file_selector.go_home() assert file_selector.path == expected def test_file_selector_move_up(file_selector): assert file_selector.path == os.getcwd() + '/' file_selector.move_up() expected = os.path.abspath('..') assert file_selector.path == expected def test_file_selector_move_down(file_selector): expected = os.getcwd() + '/' dirname = expected.split('/')[-2] + '/' # move up so that we know we will be able to move down into # intial dir file_selector.move_up() # setting the value on main widget will trigger move down file_selector.main.value = [dirname] assert file_selector.path == expected # should empty the selection on main assert file_selector.main.value == [] def test_url_selector(url_selector): assert url_selector.url == '' assert url_selector.visible assert len(url_selector.panel.objects) == 2 def test_url_selector_set_visible_to_false(url_selector): url_selector.visible = False assert url_selector.visible is False assert len(url_selector.panel.objects) == 0 def test_cat_adder(cat_adder): assert cat_adder.visible is True assert cat_adder.tabs.active == 0 assert cat_adder.widget.disabled is True assert len(cat_adder.panel.objects) == 2 cat_adder.tabs.active = 1 assert cat_adder.cat_url[0] == '' assert cat_adder.cat.name is None assert cat_adder.widget.disabled is False cat_adder.done_callback = callback with pytest.raises(ValueError, match='None'): cat_adder.add_cat() def test_cat_adder_add_real_cat(cat_adder, cat1_url, cat1): cat_adder.tabs.active = 1 cat_adder.url.main.value = cat1_url assert cat_adder.cat_url[0] == cat1_url assert cat_adder.cat == cat1 cat_adder.done_callback = callback with pytest.raises(ValueError, match=str(cat1)): cat_adder.add_cat() intake-0.6.5/intake/interface/catalog/tests/test_catalog_search.py000066400000000000000000000041111416666122400253410ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest pytest.importorskip('panel') @pytest.fixture def search_inputs(cat1, cat2): from ..search import SearchInputs return SearchInputs() def test_search_inputs(search_inputs): assert search_inputs.visible assert len(search_inputs.children) == 4 assert len(search_inputs.panel.objects) == 4 def test_search_inputs_text_prop_equal_to_widget_value(search_inputs): search_inputs.text = 'some text' assert search_inputs.text_widget.value == 'some text' def test_search_inputs_depth_prop_parses_to_int(search_inputs): search_inputs.depth = '2' assert search_inputs.depth == 2 search_inputs.depth = 'All' assert search_inputs.depth == 99 @pytest.fixture def search(cat1, cat2): from ..search import Search return Search(cats=[cat1, cat2]) def test_search(search): assert search.visible assert len(search.children) == 2 assert len(search.panel.objects) == 2 def test_search_watchers_gets_populated(search): assert len(search.watchers) == 1 def test_search_widget_click_tries_to_run_callback(search): search.inputs.text = 'flight' with pytest.raises(TypeError, match="'NoneType' object is not callable"): search.widget.clicks = 1 def test_search_unwatch_watchers_get_cleaned_up(search): search.unwatch() assert len(search.watchers) == 0 search.inputs.text = 'flight' # does not try to run callback search.widget.clicks = 2 def test_callback_gets_right_input(search): def callback(new_cats): """Raises an error if called""" raise ValueError('New catalogs', new_cats) search.inputs.text = 'flight' search.done_callback = callback with pytest.raises(ValueError, match=''): search.widget.clicks = 3 intake-0.6.5/intake/interface/catalog/tests/test_gui.py000066400000000000000000000045671416666122400232050ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest pn = pytest.importorskip('panel') @pytest.fixture def gui(cat1, cat2): from ..gui import CatGUI return CatGUI(cats=[cat1, cat2]) def test_gui(gui, cat1, cat2): assert gui.select.items == [cat1, cat2] assert gui.cats == [cat1] assert not gui.add.watchers assert gui.add.visible is False assert gui.add_widget.disabled is False assert not gui.search.watchers assert gui.search.visible is False assert gui.search_widget.disabled is False def test_gui_close_and_open_select(gui, cat2, sources2): gui.select.selected = [cat2] gui.select.visible = False assert not gui.select.watchers assert gui.search_widget.disabled is False gui.select.visible = True assert len(gui.select.watchers) == 1 assert gui.select.selected == [cat2] assert gui.search_widget.disabled is False def test_gui_getstate(gui, cat1, sources1): state = gui.__getstate__() assert state['visible']is True assert state['add']['visible'] is False assert state['search']['visible'] is False assert state['select']['selected'] == [cat1.name] def test_gui_state_roundtrip(gui, cat1, cat2, sources1): from ..gui import CatGUI other = CatGUI.from_state(gui.__getstate__()) assert other.select.items == [cat1, cat2] assert other.cats == [cat1] assert other.search.visible is False assert other.add.visible is False def test_gui_state_roundtrip_with_subpanels(gui, cat1, cat2, sources1): from ..gui import CatGUI gui.search.visible = True gui.search.inputs.text = 'foo' gui.search.inputs.depth = 3 gui.add.visible = True gui.add.tabs.active = 1 other = CatGUI.from_state(gui.__getstate__()) assert other.select.items == [cat1, cat2] assert other.cats == [cat1] assert other.search.visible is True assert other.search_widget.value is True assert other.search.inputs.text == 'foo' assert other.search.inputs.depth == 3 assert other.add.visible is True assert other.add_widget.value is True assert other.add.widget.disabled is False intake-0.6.5/intake/interface/catalog/tests/test_select.py000066400000000000000000000065551416666122400236770ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import intake import pytest pytest.importorskip('panel') def assert_widget_matches(browser): assert browser.options == browser.widget.options assert browser.selected == browser.widget.value def test_catalog_browser_init_emtpy(): from ..select import CatSelector cat_browser = CatSelector() assert cat_browser.selected == [intake.cat] assert_widget_matches(cat_browser) def test_catalog_browser(cat_browser, cat1): assert cat_browser.items == [cat1] assert cat1.name in cat_browser.options assert cat_browser.selected == [cat1] assert_widget_matches(cat_browser) def test_catalog_browser_set_to_visible_and_back(cat_browser, cat1): cat_browser.visible = False assert len(cat_browser.watchers) == 0 cat_browser.visible = True assert len(cat_browser.watchers) == 1 assert cat_browser.items == [cat1] assert cat1.name in cat_browser.options assert cat_browser.selected == [cat1] assert_widget_matches(cat_browser) def test_catalog_browser_add(cat_browser, cat2): cat_browser.add(cat2) assert cat2.name in cat_browser.options assert cat_browser.selected == [cat2] assert_widget_matches(cat_browser) def test_catalog_browser_add_list(cat_browser, cat2): cat_browser.add([cat2]) assert cat2.name in cat_browser.options assert cat_browser.selected == [cat2] assert_widget_matches(cat_browser) def test_catalog_browser_add_cat_as_str(cat_browser, cat2, cat2_url): cat_browser.add(cat2_url) assert cat2.name in cat_browser.options assert cat_browser.selected == [cat2] assert_widget_matches(cat_browser) def test_catalog_browser_add_nested_catalog(cat_browser, parent_cat): cat_browser.add(parent_cat) assert parent_cat.name in cat_browser.options assert cat_browser.selected == [parent_cat] assert list(cat_browser.options.keys()) == ['catalog1', 'parent', '└── child1', '└── child2'] assert_widget_matches(cat_browser) def test_catalog_browser_select_cat_by_widget(cat_browser, cat1): cat_browser.selected = [] assert cat_browser.selected == [] assert_widget_matches(cat_browser) cat_browser.widget.value = [cat1] assert cat_browser.selected == [cat1] assert_widget_matches(cat_browser) def test_catalog_browser_remove_selected_cat(cat_browser, cat1): cat_browser.remove_selected() assert cat1 not in cat_browser.options assert cat_browser.selected == [] assert_widget_matches(cat_browser) def test_catalog_browser_remove_cat_that_is_not_in_options_passes(cat_browser, cat2): assert cat2.name not in cat_browser.options cat_browser.remove(cat2) def test_catalog_browser_remove_nested_catalog(cat_browser, parent_cat): cat_browser.add(parent_cat) assert parent_cat.name in cat_browser.options assert cat_browser.selected == [parent_cat] assert list(cat_browser.options.keys()) == ['catalog1', 'parent', '└── child1', '└── child2'] cat_browser.remove_selected() assert list(cat_browser.options.keys()) == ['catalog1'] assert_widget_matches(cat_browser) intake-0.6.5/intake/interface/conftest.py000066400000000000000000000025641416666122400204260ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest import intake here = os.path.abspath(os.path.dirname(__file__)) @pytest.fixture def cat1_url(): return os.path.join(here, 'tests', 'catalogs', 'catalog1.yaml') @pytest.fixture def cat2_url(): return os.path.join(here, 'tests', 'catalogs', 'catalog2.yaml') @pytest.fixture def parent_cat_url(): return os.path.join(here, 'tests', 'catalogs', 'parent.yaml') @pytest.fixture def cat1(cat1_url): return intake.open_catalog(cat1_url) @pytest.fixture def cat2(cat2_url): return intake.open_catalog(cat2_url) @pytest.fixture def parent_cat(parent_cat_url): return intake.open_catalog(parent_cat_url) @pytest.fixture def cat_browser(cat1): from .catalog.select import CatSelector return CatSelector(cats=[cat1]) @pytest.fixture def sources1(cat1): return list(cat1._entries.values()) @pytest.fixture def sources2(cat2): return list(cat2._entries.values()) @pytest.fixture def source_browser(sources1): from .source.select import SourceSelector return SourceSelector(sources=sources1) intake-0.6.5/intake/interface/gui.py000066400000000000000000000073731416666122400173700ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import intake import panel as pn from .base import Base, MAX_WIDTH, ICONS from .catalog.gui import CatGUI from .source.gui import SourceGUI class GUI(Base): """ Top level GUI panel that contains controls and all visible sub-panels This class is responsible for coordinating the inputs and outputs of various sup-panels and their effects on each other. Parameters ---------- cats: list of catalogs catalogs used to initalize the cat panel Attributes ---------- children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, cats=None): self.source = SourceGUI() self.cat = CatGUI(cats=cats, done_callback=self.done_callback) self.panel = pn.Column( pn.Row( pn.panel(ICONS['logo']), pn.Column( self.cat.select.panel, self.cat.control_panel, margin=0, width_policy='max'), pn.Column( self.source.select.panel, self.source.control_panel, margin=0, width_policy='max' ), self.source.description.panel, margin=0, width_policy='max' ), pn.Row(self.cat.search.panel, self.cat.add.panel, self.source.plot.panel, width_policy='max'), width_policy='max' ) super(GUI, self).__init__() def done_callback(self, cats): self.source.select.cats = cats @property def cats(self): """Cats that have been selected from the cat sub-panel""" return self.cat.cats def add(self, *args, **kwargs): """Add to list of cats""" return self.cat.select.add(*args, **kwargs) @property def sources(self): """Sources that have been selected from the source sub-panel""" return self.source.sources @property def source_instance(self): """DataSource instance for the current selection and any parameters""" return self.source.source_instance @property def item(self): """Item that is selected""" if len(self.sources) == 0: return None return self.sources[0] def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'cat': self.cat.__getstate__(), 'source': self.source.__getstate__(), } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.visible = state.get('visible', True) self.cat.__setstate__(state['cat']) self.source.__setstate__(state['source']) return self @classmethod def from_state(cls, state): """Create a new object from a serialized exising object. Example ------- original = GUI() copy = GUI.from_state(original.__getstate__()) """ return cls(cats=[]).__setstate__(state) intake-0.6.5/intake/interface/icons/000077500000000000000000000000001416666122400173335ustar00rootroot00000000000000intake-0.6.5/intake/interface/icons/baseline-check-24px.svg000066400000000000000000000002731416666122400235060ustar00rootroot00000000000000intake-0.6.5/intake/interface/icons/baseline-error-24px.svg000066400000000000000000000003521416666122400235600ustar00rootroot00000000000000intake-0.6.5/intake/interface/icons/logo.png000066400000000000000000000030241416666122400210000ustar00rootroot00000000000000PNG  IHDR.#'8gAMA a cHRMz&u0`:pQ< pHYs  YiTXtXML:com.adobe.xmp 1 L'Y%IDATX NjTA׬0 QTLxЋx*?ճI^P1縦..*Ŝ~[3ogF7,W^OOCC}2(-[!K-H~9gu#Y5kSXņ~+m?1zqlBx ?S8WQnt\b8se'5|9N{jn:`@~ oZ]!X*4 OSX*8$Q*l nLԒk*!J>/%9gV?Y_Ax&TfT^ɡYW+^ tY% kᢰ["xb{$I 'Cq-5fMyf^(@I.O6l$|O>ȍ4IY% UպIӂwp2B}gV&H1f갟k4i^tM:'}[&X8NUS6~~>=X@+*~:,?Ka!o-#B܇. Y]'K*,?*7iN)^(I$c GXu׋bI8x !="f.GDž3Ò^K›bׅIҗH. v&h+B$M _C^ y>W$טo~;s 9.kM !o D>ޣ_IL"y2䕝$7Ҽ3}Sq{(oˆrp^>$CLϬn91H|Iˬ^j# @~Nq^l#]3}Y6G!>FR;8?:HFPkr*7s=Jގsu9 C\m87BSތmncį$/1)Q^ʍ}?Mr>_/5IENDB`intake-0.6.5/intake/interface/server.py000066400000000000000000000010211416666122400200720ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- """ The simplest possible panel server. To launch a panel server containing the intake gui run: panel serve intake/interface/server.py """ import intake.interface intake.interface.instance.servable() intake-0.6.5/intake/interface/source/000077500000000000000000000000001416666122400175205ustar00rootroot00000000000000intake-0.6.5/intake/interface/source/__init__.py000066400000000000000000000005051416666122400216310ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #-----------------------------------------------------------------------------intake-0.6.5/intake/interface/source/defined_plots.py000066400000000000000000000145511416666122400227170ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from distutils.version import LooseVersion try: import dfviz assert LooseVersion(dfviz.__version__) >= LooseVersion("0.1.0") except ImportError: dfviz = False try: import xrviz from xrviz.dashboard import Dashboard as XRViz assert LooseVersion(xrviz.__version__) >= LooseVersion("0.1.1") except ImportError: xrviz = False import panel as pn from ..base import BaseView from ...catalog.local import LocalCatalogEntry class Plots(BaseView): """ Panel for displaying pre-defined plots from catalog. Parameters ---------- source: intake catalog entry, or list of same source to describe in this object Attributes ---------- has_plots: bool whether the source has plots defined instructions_contents: str instructions to put on the plot selector label options: list plots options defined on the source selected: str name of selected plot children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ select = None def __init__(self, source=None, **kwargs): self.custom = pn.widgets.Button(name='Customize...', width_policy='min', align='center') self.source = source self.panel = pn.Column(name='Plot', width_policy='max', margin=0) super().__init__(**kwargs) def setup(self): self.instructions = pn.pane.Markdown( self.instructions_contents, align='center', width_policy='max') self.select = pn.widgets.Select(options=self.options, height=30, align='center', min_width=200) self.pane = pn.pane.HoloViews(self._plot_object(self.selected), name="Plot") self.watchers = [ self.select.param.watch(self.callback, ['options', 'value']), self.custom.param.watch(self.interact, ['clicks']) ] self.out = pn.Row(self.pane, name="Plot") self.children = [ pn.Row( self.instructions, self.select, self.custom ), self.out, ] @BaseView.source.setter def source(self, source): """When the source gets updated, update the the options in the selector""" if source and isinstance(source, list): source = source[0] if isinstance(source, LocalCatalogEntry): source = source() BaseView.source.fset(self, source) if self.select: self.select.options = self.options if source and dfviz and source.container == 'dataframe': self.custom.disabled = False elif source and xrviz and source.container in ['xarray', 'ndarray', 'numpy']: self.custom.disabled = False else: self.custom.disabled = True @property def has_plots(self): """Whether the source has plots defined""" return self.source is not None and len(self._source.plots) > 0 @property def instructions_contents(self): """Instructions to put on the plot selector label""" if self.has_plots: return '**Select from the predefined plots:**' return '*No predefined plots found - declare these in the catalog*' @property def options(self): """Plots options defined on the source""" return (['None'] + self.source.plots) if self.source is not None else [] @property def selected(self): """Name of selected plot""" return self.select.value if self.select is not None else None @selected.setter def selected(self, selected): """When plot is selected set, make sure widget stays upto date""" self.select.value = selected def callback(self, *events): for event in events: if event.name == 'value': self.pane.object = self._plot_object(event.new) if event.name == 'options': self.instructions.object = self.instructions_contents def interact(self, _): # "customize" was pressed if self.selected == 'None': kwargs = {} else: kwargs = self.source.metadata['plots'][self.selected] if self.source.container == 'dataframe': df = self.source.to_dask() if df.npartitions == 1: df = df.compute() viz = dfviz.DFViz(df, **kwargs) elif self.source.container in ['xarray', 'ndarray', 'numpy']: import xarray try: data = self.source.to_dask() except NotImplementedError: data = self.source.read() if not isinstance(data, (xarray.DataArray, xarray.Dataset)): data = xarray.DataArray(data) viz = XRViz(data, **kwargs) else: return self.out[0] = viz.panel def _plot_object(self, selected): if selected and str(selected) != "None": plot_method = getattr(self.source.plot, selected) self.out[0] = self.pane if plot_method: return plot_method() def __getstate__(self, include_source=True): """Serialize the current state of the object. Set include_source to False when using with another panel that will include source.""" state = super().__getstate__(include_source) state.update({ 'selected': self.selected, }) return state def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" super().__setstate__(state) if self.visible: self.selected = state.get('selected') return self intake-0.6.5/intake/interface/source/description.py000066400000000000000000000042031416666122400224140ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import panel as pn from ..base import BaseView from ...utils import pretty_describe class Description(BaseView): """ Class for displaying a textual description of a data source. Parameters ---------- source: intake catalog entry, or list of same source to describe in this object Attributes ---------- contents: str string representation of the source's description label: str label to display at top of panel - contains name of source children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ main_pane = None def __init__(self, source=None, **kwargs): self.source = source self.panel = pn.Column(name='Description', width_policy='max', margin=0, height=240, sizing_mode='stretch_width', scroll=True) super().__init__(**kwargs) def setup(self): self.main_pane = pn.pane.Markdown(self.contents) self.children = [self.main_pane] @BaseView.source.setter def source(self, source): """When the source gets updated, update the pane object""" BaseView.source.fset(self, source) if self.main_pane: self.main_pane.object = """```yaml\n{}\n```""".format(self.contents) @property def contents(self): """String representation of the source's description""" if not self._source: return 'name: ' + "⠀" * 30 contents = self.source.describe() return pretty_describe(contents) intake-0.6.5/intake/interface/source/gui.py000066400000000000000000000204171416666122400206620ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from functools import partial import panel as pn from ..base import Base, enable_widget, MAX_WIDTH from .select import SourceSelector from .defined_plots import Plots from .description import Description class SourceGUI(Base): """ Top level GUI panel that contains controls and all visible sub-panels This class is responsible for coordinating the inputs and outputs of various sup-panels and their effects on each other. Parameters ---------- cats: list of catalogs, opt catalogs used to initalize, provided as objects. sources: list of sources, opt sources used to initalize, provided as objects. done_callback: func, opt called when the object's main job has completed. In this case, selecting source(s). Attributes ---------- children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ def __init__(self, cats=None, sources=None, done_callback=None, **kwargs): self._cats = cats self._sources = sources self.panel = pn.Column(name='Entries', width_policy='max', max_width=MAX_WIDTH) self.done_callback = done_callback self.plot_widget = pn.widgets.Toggle( name='📊', value=False, disabled=True, width=50) self.pars_widget = pn.widgets.Toggle( name='⚙', value=False, disabled=True, width=50) self.controls = [self.plot_widget, self.pars_widget] self.control_panel = pn.Row(name='Controls', margin=0) self.pars_editor = ParsEditor() self.select = SourceSelector(cats=self._cats, sources=self._sources, done_callback=self.callback) self.description = Description() self.description.source = self.sources self.plot = Plots(source=self.source_instance, visible=self.plot_widget.value, visible_callback=partial( setattr, self.plot_widget, 'value')) super().__init__(**kwargs) def _setup_watchers(self): self.watchers = [ self.plot_widget.param.watch(self.on_click_plot_widget, 'value'), self.pars_widget.param.watch(self.on_click_pars_widget, 'value'), self.select.widget.link(self.description, value='source'), ] def setup(self): self._setup_watchers() self.children = [ pn.Column( pn.Row( pn.Column( self.select.panel, self.control_panel, margin=0, ), self.description.panel, margin=0, ), self.plot.panel, margin=0, width_policy='max' ) ] @Base.visible.setter def visible(self, visible): """When visible changed, do setup or unwatch and call visible_callback""" self._visible = visible if visible and len(self._panel.objects) == 0: self.setup() self.select.visible = True self.description.visible = True if len(self.control_panel.objects) == 0: self.control_panel.extend(self.controls) self._panel.extend(self.children) elif not visible and len(self._panel.objects) > 0: self.unwatch() # do children self.select.visible = False self.control_panel.clear() self.description.visible = False self.plot.visible = False self._panel.clear() if self.visible_callback: self.visible_callback(visible) def callback(self, sources): """When a source is selected, enable widgets that depend on that condition and do done_callback""" if hasattr(self, 'plot'): # guard since this cannot happen until plot is ready self.plot.visible = False enable = bool(sources) self.plot_widget.value = False self.pars_widget.value = False enable_widget(self.plot_widget, enable) enable_widget(self.pars_widget, enable and sources[0]._user_parameters) self.pars_editor.dirty = True # reset pars editor if self.done_callback: self.done_callback(sources) def on_click_plot_widget(self, event): """ When the plot control is toggled, set visibility and hand down source""" self.plot.source = self.source_instance self.plot.visible = event.new def on_click_pars_widget(self, event): if event.new: pars = self.sources[0]._user_parameters self.pars_editor.remake(pars) self.description.panel.append(self.pars_editor.panel) else: self.description.panel.remove(self.pars_editor.panel) @property def sources(self): """Sources that have been selected from the source GUI""" return self.select.selected @property def source_instance(self): """DataSource from the current selection using current parameters""" sel = self.select.selected args = self.pars_editor.kwargs if sel: return sel[0](**args) def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'select': self.select.__getstate__(), 'description': self.description.__getstate__(include_source=False), 'plot': self.plot.__getstate__(include_source=False), } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" self.visible = state.get('visible', True) if self.visible: self.select.__setstate__(state['select']) self.description.__setstate__(state['description']) self.plot.__setstate__(state['plot']) return self @classmethod def from_state(cls, state): """Create a new object from a serialized exising object. Example ------- original = SourceGUI() copy = SourceGUI.from_state(original.__getstate__()) """ return cls(cats=[], sources=[]).__setstate__(state) class ParsEditor(Base): """Edit user parameters using widgets""" def __init__(self): self.panel = pn.Column(pn.Spacer()) self.dirty = True # don't use kwargs until source is set def remake(self, upars): """Set up parameter widgets for given list of UserParameter objects""" self.panel.clear() for upar in upars: self.panel.append(self.par_to_widget(upar)) self.dirty = False @property def kwargs(self): """The current selections""" if self.dirty: return {} else: return {w.name: w.value for w in self.panel} @staticmethod def par_to_widget(par): if par.allowed: w = pn.widgets.Select(options=par.allowed) elif par.type in ['str', 'unicode']: w = pn.widgets.TextInput() elif par.type == 'int': w = pn.widgets.IntSlider(start=par.min, end=par.max, step=1) elif par.type == 'float': w = pn.widgets.FloatSlider(start=par.min, end=par.max) elif par.type == 'datetime': w = pn.widgets.DatetimeInput() else: w = pn.widgets.LiteralInput() w.name = par.name w.value = par.default return w intake-0.6.5/intake/interface/source/select.py000066400000000000000000000106751416666122400213620ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from collections import OrderedDict import intake from intake.utils import remake_instance import panel as pn from ..base import BaseSelector, coerce_to_list class SourceSelector(BaseSelector): """ The source selector takes a variety of inputs such as cats or sources and uses those to populate a select widget containing all the sources. Once the source selector is populated with these options, the user can select which source(s) are of interest. These sources are stored on the ``selected`` property of the class. Parameters ---------- cats: list of catalogs, opt catalogs used to initalize, provided as objects. sources: list of sources, opt sources used to initalize, provided as objects. done_callback: func, opt called when the object's main job has completed. In this case, selecting source(s). Attributes ---------- selected: list of sources list of selected sources items: list of sources list of all the source values represented in widget labels: list of str list of labels for all the sources represented in widget options: dict dict of widget labels and values (same as `dict(zip(self.labels, self.values))`) children: list of panel objects children that will be used to populate the panel when visible panel: panel layout object instance of a panel layout (row or column) that contains children when visible watchers: list of param watchers watchers that are set on children - cleaned up when visible is set to false. """ preprocess = None children = [] def __init__(self, sources=None, cats=None, done_callback=None, **kwargs): """Set sources or cats to initialize the class - sources trumps cats. The order of the calls in this method matters and is different from the order in other panel init methods because the top level gui class needs to be able to watch these widgets. """ self.panel = pn.Column(name='Select Data Source', margin=0) self.widget = pn.widgets.MultiSelect(size=9, min_width=200, width_policy='min') self.done_callback = done_callback super().__init__(**kwargs) if sources is not None: self.items = sources elif cats is not None: self.cats = cats def setup(self): label = pn.pane.Markdown('#### Sources', max_height=40) self.watchers = [ self.widget.param.watch(self.callback, 'value'), ] self.children = [label, self.widget] @property def cats(self): """Cats represented in the sources options""" return set(source._catalog for source in self.items) @cats.setter def cats(self, cats): """Set sources from a list of cats""" sources = [] for cat in coerce_to_list(cats): for k, entry in cat._entries.items(): try: if entry.describe()['container'] != 'catalog': sources.append(entry) except IOError: # loading cat might fail here pass self.items = sources def callback(self, event): if self.done_callback: self.done_callback(event.new) def __getstate__(self): """Serialize the current state of the object""" return { 'visible': self.visible, 'labels': self.labels, 'sources': [source.__getstate__() for source in self.items], 'selected': [k for k, v in self.options.items() if v in self.selected], } def __setstate__(self, state): """Set the current state of the object from the serialized version. Works inplace. See ``__getstate__`` to get serialized version and ``from_state`` to create a new object.""" sources = state['sources'] labels = state['labels'] self.widget.options = {l: remake_instance(s) for l, s in zip(labels, sources)} self.selected = state.get('selected', []) self.visible = state.get('visible', True) return self intake-0.6.5/intake/interface/source/tests/000077500000000000000000000000001416666122400206625ustar00rootroot00000000000000intake-0.6.5/intake/interface/source/tests/__init__.py000066400000000000000000000000001416666122400227610ustar00rootroot00000000000000intake-0.6.5/intake/interface/source/tests/test_gui.py000066400000000000000000000041071416666122400230610ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from distutils.version import LooseVersion import pytest pn = pytest.importorskip('panel') too_old = LooseVersion(pn.__version__) < LooseVersion("0.9.5") @pytest.mark.skipif(too_old, reason="Use with latest panel") @pytest.fixture def gui(sources1): from ..gui import SourceGUI return SourceGUI(sources=sources1) def test_gui_attribute(sources1): assert sources1[0].gui def test_gui(gui, sources1): assert gui.select.items == sources1 assert gui.sources == [sources1[0]] assert not gui.plot.watchers assert gui.plot.visible is False assert gui.plot_widget.disabled is False def test_gui_close_and_open_select(gui, sources1): gui.select.selected = [sources1[1]] gui.select.visible = False assert not gui.select.watchers gui.select.visible = True assert len(gui.select.watchers) == 1 assert gui.select.selected == [sources1[1]] assert gui.plot_widget.disabled is False def test_gui_getstate(gui, sources1): state = gui.__getstate__() assert state['visible']is True assert state['plot']['visible'] is False assert state['select']['selected'] == [sources1[0].name] def test_gui_state_roundtrip(gui, sources1): from ..gui import SourceGUI other = SourceGUI.from_state(gui.__getstate__()) assert other.select.items == sources1 assert other.sources == [sources1[0]] assert other.plot.visible is False assert other.description.visible is True def test_gui_state_roundtrip_with_subpanels(gui, sources1): from ..gui import SourceGUI gui.plot.visible = True other = SourceGUI.from_state(gui.__getstate__()) assert other.select.items == sources1 assert other.sources == [sources1[0]] assert other.plot.visible is True assert other.plot_widget.value is True intake-0.6.5/intake/interface/source/tests/test_source_select.py000066400000000000000000000101251416666122400251310ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import intake import pytest pytest.importorskip('panel') def assert_widget_matches(browser): assert browser.options == browser.widget.options assert browser.selected == browser.widget.value def test_source_browser_init_with_cats(cat1, cat2, sources1, sources2): from ..select import SourceSelector source_browser = SourceSelector(cats=[cat1, cat2]) assert sources1[0].name in source_browser.options assert sources2[0].name in source_browser.options assert sources1[0] in source_browser.selected assert_widget_matches(source_browser) def test_source_browser_set_cats(cat1, cat2, sources1, sources2): from ..select import SourceSelector source_browser = SourceSelector() source_browser.cats = [cat1, cat2] assert sources1[0].name in source_browser.options assert sources2[0].name in source_browser.options assert sources1[0] in source_browser.selected assert_widget_matches(source_browser) def test_source_browser(source_browser, cat1, sources1): assert len(source_browser.cats) == 1 assert cat1 in source_browser.cats for source in sources1: assert source.name in source_browser.options assert source_browser.selected == [sources1[0]] assert_widget_matches(source_browser) def test_source_browser_add(source_browser, sources1, sources2): source_browser.add(sources2[0]) for source in sources1: assert source.name in source_browser.options assert sources2[0].name in source_browser.options assert source_browser.selected == [sources2[0]] assert_widget_matches(source_browser) def test_source_browser_add_list(source_browser, sources2): source_browser.add(sources2) assert sources2[1].name in source_browser.options assert source_browser.selected == [sources2[0]] assert_widget_matches(source_browser) def test_source_browser_add_entry_with_nonunique_name(source_browser): from intake.catalog.local import LocalCatalogEntry name = source_browser.labels[0] e0 = LocalCatalogEntry(name, '', 'csv', args=dict(urlpath='foo')) source_browser.add(e0) assert f'{name}_0' in source_browser.labels assert name in source_browser.labels assert_widget_matches(source_browser) e1 = LocalCatalogEntry(name, '', 'csv', args=dict(urlpath='foo1')) source_browser.add(e1) assert f'{name}_1' in source_browser.labels assert f'{name}_0' in source_browser.labels assert name in source_browser.labels assert_widget_matches(source_browser) def test_source_browser_remove(source_browser, sources1): source_browser.remove(sources1[0]) assert sources1[0].name not in source_browser.options assert source_browser.selected == [] assert_widget_matches(source_browser) def test_source_browser_remove_list(source_browser, sources1): source_browser.remove(sources1) assert source_browser.options == {} assert source_browser.selected == [] assert_widget_matches(source_browser) def test_source_browser_select_object(source_browser, sources1): source_browser.selected = sources1[1] assert source_browser.selected == [sources1[1]] assert_widget_matches(source_browser) def test_source_browser_select_name(source_browser, sources1): source_browser.selected = sources1[1].name assert source_browser.selected == [sources1[1]] assert_widget_matches(source_browser) def test_source_browser_select_list_of_names(source_browser, sources1): source_browser.selected = [] source_browser.selected = [source.name for source in sources1] assert source_browser.selected == sources1 assert_widget_matches(source_browser) def test_source_browser_select_list_of_objects(source_browser, sources1): source_browser.selected = sources1 assert source_browser.selected == sources1 assert_widget_matches(source_browser) intake-0.6.5/intake/interface/source/tests/test_source_view.py000066400000000000000000000124221416666122400246260ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest pn = pytest.importorskip('panel') @pytest.fixture def description(sources1): from ..description import Description return Description(source=sources1[0]) def assert_panel_matches_contents(desc): """Helper function to check that panel and contents match""" assert desc.contents in desc.main_pane.object assert desc.panel.objects == [desc.main_pane] def test_description(description): assert description.visible assert len(description.children) == 1 assert len(description.contents) > 0 assert_panel_matches_contents(description) def test_description_set_source(description, sources1, sources2): assert description.source == sources1[0] description.source = sources2[0] assert description.source == sources2[0] assert_panel_matches_contents(description) def test_description_set_source_from_list(sources2): from ..description import Description description = Description() description.source = sources2 assert description.source == sources2[0] assert_panel_matches_contents(description) def test_description_set_source_from_empty_list(description): description.source = [] assert description.source == None assert "⠀" * 30 in description.contents assert_panel_matches_contents(description) def test_description_clears_if_visible_is_set_to_false(description): description.visible = False assert len(description.panel.objects) == 0 def assert_is_empty(plots, visible=True): assert plots.source is None assert plots.has_plots is False assert plots.instructions_contents == '*No predefined plots found - declare these in the catalog*' assert plots.options == [] assert plots.selected is None if visible: assert plots.instructions.object == plots.instructions_contents assert plots.pane.object is None assert len(plots.children) == 2 assert isinstance(plots.children[-1][0][0], pn.pane.HoloViews) assert plots.panel.objects == plots.children assert len(plots.watchers) == 2 else: assert not plots.selected assert not plots.watchers assert not plots.panel.objects def assert_plotting_source2_0_line(plots, visible=True, desc=False): assert plots.has_plots is True assert plots.instructions_contents == '**Select from the predefined plots:**' assert plots.options == ["None", 'line_example', 'violin_example'] if visible: assert plots.selected == 'None' plots.selected = 'line_example' assert plots.instructions.object == plots.instructions_contents assert plots.pane.object is not None assert len(plots.children) == 2 assert isinstance(plots.children[-1][0][0], pn.pane.HoloViews) assert plots.panel.objects == plots.children assert len(plots.watchers) == 2 else: assert not plots.selected assert not plots.watchers assert not plots.panel.objects @pytest.fixture def defined_plots(sources2): pytest.importorskip('hvplot') from ..defined_plots import Plots return Plots(source=sources2[0]) def test_defined_plots_init_empty_and_not_visible_set_source(sources2): pytest.importorskip('hvplot') from ..defined_plots import Plots defined_plots = Plots(source=[], visible=False) defined_plots.source = sources2 assert defined_plots.source == sources2[0]() assert_plotting_source2_0_line(defined_plots, visible=False) def test_defined_plots_init_with_source_not_visible_make_visible(sources2): pytest.importorskip('hvplot') from ..defined_plots import Plots defined_plots = Plots(source=sources2, visible=False) defined_plots.source = sources2 assert defined_plots.source == sources2[0]() assert_plotting_source2_0_line(defined_plots, visible=False) defined_plots.visible = True assert_plotting_source2_0_line(defined_plots, visible=True) def test_defined_plots_init_empty_and_visible(): from ..defined_plots import Plots defined_plots = Plots() assert_is_empty(defined_plots, visible=True) def test_defined_plots_init_empty_and_not_visible(): from ..defined_plots import Plots defined_plots = Plots(visible=False) assert_is_empty(defined_plots, visible=False) def test_defined_plots_set_source_to_empty_list(defined_plots): defined_plots.source = [] assert_is_empty(defined_plots, visible=True) def test_defined_plots_set_source_to_empty_list_and_visible_to_false(defined_plots): defined_plots.visible = False defined_plots.source = [] assert_is_empty(defined_plots, visible=False) @pytest.mark.skip(reason='This one is failing - but works in widget') def test_defined_plots_select_a_different_plot(defined_plots): defined_plots.selected = 'violin_example' assert len(defined_plots.children) == 2 assert isinstance(defined_plots.children[1], pn.Column) assert str(defined_plots.children[1].objects) == str(defined_plots.pane.objects) assert defined_plots.panel.objects == defined_plots.children intake-0.6.5/intake/interface/tests/000077500000000000000000000000001416666122400173625ustar00rootroot00000000000000intake-0.6.5/intake/interface/tests/__init__.py000066400000000000000000000005061416666122400214740ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/interface/tests/catalogs/000077500000000000000000000000001416666122400211575ustar00rootroot00000000000000intake-0.6.5/intake/interface/tests/catalogs/catalog1.yaml000066400000000000000000000003121416666122400235320ustar00rootroot00000000000000sources: crime: description: Fake flight data - doesn't matter driver: csv args: urlpath: '{{ CATALOG_DIR }}../data/crime.csv' fake1: driver: fake args: urlpath: '' intake-0.6.5/intake/interface/tests/catalogs/catalog2.yaml000066400000000000000000000014151416666122400235400ustar00rootroot00000000000000sources: us_crime: description: US Crime data [UCRDataTool](https://www.ucrdatatool.gov/Search/Crime/State/StatebyState.cfm) driver: csv args: urlpath: '{{ CATALOG_DIR }}../data/crime{{selector}}.csv' parameters: selector: type: str description: "none" allowed: ["2", ""] default: "" metadata: plots: line_example: kind: line y: ['Robbery', 'Burglary'] x: 'Year' violin_example: kind: violin y: ['Burglary rate', 'Larceny-theft rate', 'Robbery rate', 'Violent Crime rate'] group_label: 'Type of crime' value_label: 'Rate per 100k' invert: True fake2: driver: fake args: urlpath: '' intake-0.6.5/intake/interface/tests/catalogs/parent.yaml000066400000000000000000000004441416666122400233360ustar00rootroot00000000000000sources: child1: args: path: "{{CATALOG_DIR}}/catalog1.yaml" driver: intake.catalog.local.YAMLFileCatalog child2: args: path: "{{CATALOG_DIR}}/catalog2.yaml" driver: intake.catalog.local.YAMLFileCatalog entry1: driver: blah args: urlpath: '' intake-0.6.5/intake/interface/tests/data/000077500000000000000000000000001416666122400202735ustar00rootroot00000000000000intake-0.6.5/intake/interface/tests/data/crime.csv000066400000000000000000000172751416666122400221230ustar00rootroot00000000000000Year,Population,Violent crime total,Murder and nonnegligent Manslaughter,Legacy rape /1,Revised rape /2,Robbery,Aggravated assault,Property crime total,Burglary,Larceny-theft,Motor vehicle theft,Violent Crime rate,Murder and nonnegligent manslaughter rate,Legacy rape rate /1,Revised rape rate /2,Robbery rate,Aggravated assault rate,Property crime rate,Burglary rate,Larceny-theft rate,Motor vehicle theft rate 1960,179323175,288460,9110,17190,,107840,154320,3095700,912100,1855400,328200,160.9,5.1,9.6,,60.1,86.1,1726.3,508.6,1034.7,183 1961,182992000,289390,8740,17220,,106670,156760,3198600,949600,1913000,336000,158.1,4.8,9.4,,58.3,85.7,1747.9,518.9,1045.4,183.6 1962,185771000,301510,8530,17550,,110860,164570,3450700,994300,2089600,366800,162.3,4.6,9.4,,59.7,88.6,1857.5,535.2,1124.8,197.4 1963,188483000,316970,8640,17650,,116470,174210,3792500,1086400,2297800,408300,168.2,4.6,9.4,,61.8,92.4,2012.1,576.4,1219.1,216.6 1964,191141000,364220,9360,21420,,130390,203050,4200400,1213200,2514400,472800,190.6,4.9,11.2,,68.2,106.2,2197.5,634.7,1315.5,247.4 1965,193526000,387390,9960,23410,,138690,215330,4352000,1282500,2572600,496900,200.2,5.1,12.1,,71.7,111.3,2248.8,662.7,1329.3,256.8 1966,195576000,430180,11040,25820,,157990,235330,4793300,1410100,2822000,561200,220,5.6,13.2,,80.8,120.3,2450.9,721,1442.9,286.9 1967,197457000,499930,12240,27620,,202910,257160,5403500,1632100,3111600,659800,253.2,6.2,14,,102.8,130.2,2736.5,826.6,1575.8,334.1 1968,199399000,595010,13800,31670,,262840,286700,6125200,1858900,3482700,783600,298.4,6.9,15.9,,131.8,143.8,3071.8,932.3,1746.6,393 1969,201385000,661870,14760,37170,,298850,311090,6749000,1981900,3888600,878500,328.7,7.3,18.5,,148.4,154.5,3351.3,984.1,1930.9,436.2 1970,203235298,738820,16000,37990,,349860,334970,7359200,2205000,4225800,928400,363.5,7.9,18.7,,172.1,164.8,3621,1084.9,2079.3,456.8 1971,206212000,816500,17780,42260,,387700,368760,7771700,2399300,4424200,948200,396,8.6,20.5,,188,178.8,3768.8,1163.5,2145.5,459.8 1972,208230000,834900,18670,46850,,376290,393090,7413900,2375500,4151200,887200,401,9,22.5,,180.7,188.8,3560.4,1140.8,1993.6,426.1 1973,209851000,875910,19640,51400,,384220,420650,7842200,2565500,4347900,928800,417.4,9.4,24.5,,183.1,200.5,3737,1222.5,2071.9,442.6 1974,211392000,974720,20710,55400,,442400,456210,9278700,3039200,5262500,977100,461.1,9.8,26.2,,209.3,215.8,4389.3,1437.7,2489.5,462.2 1975,213124000,1039710,20510,56090,,470500,492620,10252700,3265300,5977700,1009600,487.8,9.6,26.3,,220.8,231.1,4810.7,1532.1,2804.8,473.7 1976,214659000,1004210,18780,57080,,427810,500530,10345500,3108700,6270800,966000,467.8,8.7,26.6,,199.3,233.2,4819.5,1448.2,2921.3,450 1977,216332000,1029580,19120,63500,,412610,534350,9955000,3071500,5905700,977700,475.9,8.8,29.4,,190.7,247,4601.7,1419.8,2729.9,451.9 1978,218059000,1085550,19560,67610,,426930,571460,10123400,3128300,5991000,1004100,497.8,9,31,,195.8,262.1,4642.5,1434.6,2747.4,460.5 1979,220099000,1208030,21460,76390,,480700,629480,11041500,3327700,6601000,1112800,548.9,9.8,34.7,,218.4,286,5016.6,1511.9,2999.1,505.6 1980,225349264,1344520,23040,82990,,565840,672650,12063700,3795200,7136900,1131700,596.6,10.2,36.8,,251.1,298.5,5353.3,1684.1,3167,502.2 1981,229465714,1361820,22520,82500,,592910,663900,12061900,3779700,7194400,1087800,593.5,9.8,36,,258.4,289.3,5256.5,1647.2,3135.3,474.1 1982,231664458,1322390,21010,78770,,553130,669480,11652000,3447100,7142500,1062400,570.8,9.1,34,,238.8,289,5029.7,1488,3083.1,458.6 1983,233791994,1258087,19308,78918,,506567,653294,10850543,3129851,6712759,1007933,538.1,8.3,33.8,,216.7,279.4,4641.1,1338.7,2871.3,431.1 1984,235824902,1273282,18692,84233,,485008,685349,10608473,2984434,6591874,1032165,539.9,7.9,35.7,,205.7,290.6,4498.5,1265.5,2795.2,437.7 1985,237923795,1327767,18976,87671,,497874,723246,11102590,3073348,6926380,1102862,558.1,8,36.8,,209.3,304,4666.4,1291.7,2911.2,463.5 1986,240132887,1489169,20613,91459,,542775,834322,11722700,3241410,7257153,1224137,620.1,8.6,38.1,,226,347.4,4881.8,1349.8,3022.1,509.8 1987,242288918,1483999,20096,91111,,517704,855088,12024709,3236184,7499851,1288674,612.5,8.3,37.6,,213.7,352.9,4963,1335.7,3095.4,531.9 1988,244498982,1566221,20675,92486,,542968,910092,12356865,3218077,7705872,1432916,640.6,8.5,37.8,,222.1,372.2,5054,1316.2,3151.7,586.1 1989,246819230,1646037,21500,94504,,578326,951707,12605412,3168170,7872442,1564800,666.9,8.7,38.3,,234.3,385.6,5107.1,1283.6,3189.6,634 1990,249464396,1820127,23438,102555,,639271,1054863,12655486,3073909,7945670,1635907,729.6,9.4,41.1,,256.3,422.9,5073.1,1232.2,3185.1,655.8 1991,252153092,1911767,24703,106593,,687732,1092739,12961116,3157150,8142228,1661738,758.2,9.8,42.3,,272.7,433.4,5140.2,1252.1,3229.1,659 1992,255029699,1932274,23760,109062,,672478,1126974,12505917,2979884,7915199,1610834,757.7,9.3,42.8,,263.7,441.9,4903.7,1168.4,3103.6,631.6 1993,257782608,1926017,24526,106014,,659870,1135607,12218777,2834808,7820909,1563060,747.1,9.5,41.1,,256,440.5,4740,1099.7,3033.9,606.3 1994,260327021,1857670,23326,102216,,618949,1113179,12131873,2712774,7879812,1539287,713.6,9,39.3,,237.8,427.6,4660.2,1042.1,3026.9,591.3 1995,262803276,1798792,21606,97470,,580509,1099207,12063935,2593784,7997710,1472441,684.5,8.2,37.1,,220.9,418.3,4590.5,987,3043.2,560.3 1996,265228572,1688540,19645,96252,,535594,1037049,11805323,2506400,7904685,1394238,636.6,7.4,36.3,,201.9,391,4451,945,2980.3,525.7 1997,267783607,1636096,18208,96153,,498534,1023201,11558475,2460526,7743760,1354189,611,6.8,35.9,,186.2,382.1,4316.3,918.8,2891.8,505.7 1998,270248003,1533887,16974,93144,,447186,976583,10951827,2332735,7376311,1242781,567.6,6.3,34.5,,165.5,361.4,4052.5,863.2,2729.5,459.9 1999,272690813,1426044,15522,89411,,409371,911740,10208334,2100739,6955520,1152075,523,5.7,32.8,,150.1,334.3,3743.6,770.4,2550.7,422.5 2000,281421906,1425486,15586,90178,,408016,911706,10182584,2050992,6971590,1160002,506.5,5.5,32,,145,324,3618.3,728.8,2477.3,412.2 2001,285317559,1439480,16037,90863,,423557,909023,10437189,2116531,7092267,1228391,504.5,5.6,31.8,,148.5,318.6,3658.1,741.8,2485.7,430.5 2002,287973924,1423677,16229,95235,,420806,891407,10455277,2151252,7057379,1246646,494.4,5.6,33.1,,146.1,309.5,3630.6,747,2450.7,432.9 2003,290788976,1383676,16528,93883,,414235,859030,10442862,2154834,7026802,1261226,475.8,5.7,32.3,,142.5,295.4,3591.2,741,2416.5,433.7 2004,293656842,1360088,16148,95089,,401470,847381,10319386,2144446,6937089,1237851,463.2,5.5,32.4,,136.7,288.6,3514.1,730.3,2362.3,421.5 2005,296507061,1390745,16740,94347,,417438,862220,10174754,2155448,6783447,1235859,469,5.6,31.8,,140.8,290.8,3431.5,726.9,2287.8,416.8 2006,299398484,1435123,17309,94472,,449246,874096,10019601,2194993,6626363,1198245,479.3,5.8,31.6,,150,292,3346.6,733.1,2213.2,400.2 2007,301621157,1422970,17128,92160,,447324,866358,9882212,2190198,6591542,1100472,471.8,5.7,30.6,,148.3,287.2,3276.4,726.1,2185.4,364.9 2008,304059724,1394461,16465,90750,,443563,843683,9774152,2228887,6586206,959059,458.6,5.4,29.8,,145.9,277.5,3214.6,733,2166.1,315.4 2009,307006550,1325896,15399,89241,,408742,812514,9337060,2203313,6338095,795652,431.9,5,29.1,,133.1,264.7,3041.3,717.7,2064.5,259.2 2010,309330219,1251248,14722,85593,,369089,781844,9112625,2168459,6204601,739565,404.5,4.8,27.7,,119.3,252.8,2945.9,701,2005.8,239.1 2011,311587816,1206031,14661,84175,,354772,752423,9052743,2185140,6151095,716508,387.1,4.7,27,,113.9,241.5,2905.4,701.3,1974.1,230 2012,313873685,1217067,14866,85141,,355051,762009,9001992,2109932,6168874,723186,387.8,4.7,27.1,,113.1,242.8,2868,672.2,1965.4,230.4 2013,316497531,1199684,14319,82109,113695,345095,726575,8650761,1931835,6018632,700294,379.1,4.5,25.9,35.9,109,229.6,2733.3,610.4,1901.6,221.3 2014,318857056,1197987,14249,84041,116645,325802,741291,8277829,1729806,5858496,689527,375.7,4.5,26.4,36.6,102.2,232.5,2596.1,542.5,1837.3,216.2intake-0.6.5/intake/interface/tests/test_base.py000066400000000000000000000022041416666122400217030ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest pn = pytest.importorskip('panel') from ..base import Base class BaseClass(Base): def __init__(self, **kwargs): self.panel = pn.Row() super().__init__(**kwargs) def setup(self): self.children = ['fake content'] def test_base_with_panel_gets_populated_when_visible_is_set_to_true(): base = BaseClass(visible=True) assert base.children == ['fake content'] assert len(base.panel.objects) == 1 base.visible = False assert len(base.panel.objects) == 0 assert base.children == ['fake content'] def test_base_with_panel_gets_populated_when_visible_is_changed_to_true(): base = BaseClass(visible=False) assert len(base.panel.objects) == 0 base.visible = True assert base.children == ['fake content'] assert len(base.panel.objects) == 1 intake-0.6.5/intake/interface/tests/test_gui.py000066400000000000000000000125301416666122400215600ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest pn = pytest.importorskip('panel') @pytest.fixture def gui(cat1, cat2): from ..gui import GUI return GUI(cats=[cat1, cat2]) def test_gui(gui, cat1, cat2, sources1): assert gui.cat.select.items == [cat1, cat2] assert gui.cats == [cat1] assert gui.item == sources1[0] assert not gui.cat.add.watchers assert gui.cat.add.visible is False assert gui.cat.add_widget.disabled is False assert not gui.cat.search.watchers assert gui.cat.search.visible is False assert gui.cat.search_widget.disabled is False assert not gui.source.plot.watchers assert gui.source.plot.visible is False assert gui.source.plot_widget.disabled is False def test_par_selector(gui, cat2): gui.cat.select.selected = [cat2] assert gui.source.pars_widget.disabled is False gui.source.pars_widget.value = True wid = gui.source.pars_editor.panel[0] assert isinstance(wid, pn.widgets.Select) assert wid.value == '' s = gui.source_instance assert s.urlpath.endswith("crime.csv") wid.value = "2" s = gui.source_instance assert s.urlpath.endswith("crime2.csv") def test_gui_remove_selected_cat(gui, cat1): gui.cat.select.remove_selected() assert gui.cat.search_widget.disabled is True assert gui.source.plot_widget.disabled is True assert gui.item is None def test_gui_open_plot_panel(gui, cat1, cat2, sources1, sources2): pytest.importorskip('hvplot') gui.source.plot_widget.value = True assert gui.source.plot.visible is True assert len(gui.source.plot.watchers) == 2 assert len(gui.source.plot.panel.objects) == 2 assert gui.source.plot.source.entry == sources1[0] gui.source.select.cats = [cat2] assert gui.source.plot_widget.value is False # hide on select change assert gui.source.plot.visible is False assert not gui.source.plot.watchers gui.source.plot_widget.value = True assert len(gui.source.plot.watchers) == 2 assert len(gui.source.plot.panel.objects) == 2 def test_gui_open_search_panel(gui, cat1, cat2, sources1, sources2): gui.cat.search_widget.value = True assert len(gui.cat.search.watchers) == 2 assert len(gui.cat.search.panel.objects) == 2 assert gui.cat.search.cats == [cat1] gui.cat.select.selected = [cat2] assert len(gui.cat.search.watchers) == 2 assert len(gui.cat.search.panel.objects) == 2 assert gui.cat.search.cats == [cat2] gui.cat.search_widget.value = False assert not gui.cat.search.watchers assert gui.cat.search.visible is False def test_gui_close_and_open_cat(gui, cat2, sources2): gui.cat.select.selected = [cat2] gui.cat.visible = False assert gui.cat.select.visible is False assert len(gui.cat.control_panel.objects) == 0 assert gui.cat.search.visible is False assert gui.cat.add.visible is False gui.cat.visible = True assert gui.cat.select.visible is True assert len(gui.cat.control_panel.objects) == 3 assert gui.cat.search.visible is False assert gui.cat.add.visible is False assert gui.cats == [cat2] def test_gui_close_and_open_source(gui, cat2, sources2): gui.source.visible = False gui.cat.select.selected = [cat2] assert gui.source.visible is False assert len(gui.source.control_panel.objects) == 0 assert gui.source.description.visible is False assert gui.source.plot.visible is False gui.source.visible = True assert gui.source.select.visible is True assert len(gui.source.control_panel.objects) == 2 assert gui.source.description.visible is True assert gui.source.plot.visible is False assert gui.source.sources == [sources2[0]] def test_gui_init_empty(): from ..gui import GUI gui = GUI(cats=[]) assert gui.cat.select.items == [] assert gui.cats == [] assert gui.item == None assert not gui.cat.add.watchers assert gui.cat.add.visible is False assert gui.cat.add_widget.disabled is False assert not gui.cat.search.watchers assert gui.cat.search.visible is False assert gui.cat.search_widget.disabled is True assert not gui.source.plot.watchers assert gui.source.plot.visible is False assert gui.source.plot_widget.disabled is True def test_gui_getstate(gui, cat1, sources1): state = gui.__getstate__() assert state['visible'] is True assert state['cat']['visible']is True assert state['cat']['add']['visible'] is False assert state['cat']['search']['visible'] is False assert state['cat']['select']['selected'] == [cat1.name] assert state['source']['visible'] is True assert state['source']['select']['selected'] == [sources1[0].name] assert state['source']['plot']['visible'] is False def test_gui_state_roundtrip(gui, cat1, cat2, sources1): from ..gui import GUI other = GUI.from_state(gui.__getstate__()) assert other.cat.select.items == [cat1, cat2] assert other.cats == [cat1] assert other.sources == [sources1[0]] assert other.cat.search.visible is False assert other.cat.add.visible is False assert other.source.plot.visible is False intake-0.6.5/intake/interface/tests/test_init_gui.py000066400000000000000000000021641416666122400226050ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2019, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest def panel_importable(): try: import panel as pn return True except: return False @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_no_panel_does_not_raise_errors(cat1_url): import intake cat = intake.open_catalog(cat1_url) assert cat.name == 'catalog1' @pytest.mark.skipif(panel_importable(), reason="panel is importable, so skip") def test_no_panel_display_init_gui(): import intake with pytest.raises(RuntimeError, match=('Please install panel to use the GUI ' '`conda install -c conda-forge panel')): repr(intake.gui) def test_display_init_gui(): pytest.importorskip('panel') import intake assert repr(intake.gui).startswith('Column') intake-0.6.5/intake/source/000077500000000000000000000000001416666122400155605ustar00rootroot00000000000000intake-0.6.5/intake/source/__init__.py000066400000000000000000000061651416666122400177010ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import entrypoints import logging from ..utils import DriverRegistryView from .base import DataSource logger = logging.getLogger('intake') class DriverRegistry(dict): """Dict of driver: DataSource class If the value object is a EntryPoint, will load it when accesses, which does the import. """ def __getitem__(self, item): if isinstance(super().__getitem__(item), entrypoints.EntryPoint): self[item] = super().__getitem__(item).load() return super().__getitem__(item) _registry = DriverRegistry() # internal mutable registry registry = DriverRegistryView(_registry) # public, read-ony wrapper def register_driver(name, driver, overwrite=False): """ Add a driver to intake.registry. Parameters ---------- name: string driver: DataSource overwrite: bool, optional False by default. Raises ------ ValueError If name collides with an existing name in the registry and overwrite is False. """ if name in _registry and not overwrite: # If we are re-registering the same object, there is no problem. original = _registry[name] if original is driver: return raise ValueError( f"The driver {driver} could not be registered for the " f"name {name} because {_registry[name]} is already " f"registered for that name. Use overwrite=True to force it.") _registry[name] = driver def unregister_driver(name): """ Ensure that a given name in the registry is cleared. This function is idempotent: if the name does not exist, nothing is done, and the function returns None Parameters ---------- name: string Returns ------- driver: DataSource or None Whatever was registered for ``name``, or ``None`` """ return _registry.pop(name, None) # A set of fully-qualified package.module.Class mappings classes = {} def import_name(name): import importlib if ":" in name: if name.count(":") > 1: raise ValueError("Cannot decipher name to import: %s", name) mod, rest = name.split(":") bit = importlib.import_module(mod) for part in rest.split("."): bit = getattr(bit, part) return bit else: mod, cls = name.rsplit('.', 1) module = importlib.import_module(mod) return getattr(module, cls) def get_plugin_class(name): if name in registry: return registry[name] if '.' not in name: logger.debug('Plugin name "%s" not known' % name) return None if name not in classes: try: classes[name] = import_name(name) except (KeyError, NameError, ImportError): logger.debug('Failed to import "%s"' % name) return classes.get(name, None) intake-0.6.5/intake/source/base.py000066400000000000000000000370101416666122400170450ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- """ Base classes for Data Loader interface """ from yaml import dump from .cache import make_caches from ..utils import make_path_posix, DictSerialiseMixin, pretty_describe class Schema(dict): """Holds details of data description for any type of data-source This should always be pickleable, so that it can be sent from a server to a client, and contain all information needed to recreate a RemoteSource on the client. """ def __init__(self, **kwargs): """ Parameters ---------- kwargs: typically include dtype, shape """ super(Schema, self).__init__(**kwargs) for field in ['dtype', 'shape']: # maybe a default-dict if field not in self: self[field] = None if 'npartitions' not in self: self['npartitions'] = 1 if 'extra_metadata' not in self: self['extra_metadata'] = {} def __repr__(self): return ("\n" "dtype: {}\n" "shape: {}\n" "metadata: {}" "".format(self.dtype, self.shape, self.extra_metadata)) def __getattr__(self, item): return self[item] class NoEntry(AttributeError): pass class CacheMixin: """Allows "old style" caching for Data Source""" _cache = None @property def cache_dirs(self): return [c._cache_dir for c in self.cache] def set_cache_dir(self, cache_dir): for c in self.cache: c._cache_dir = make_path_posix(cache_dir) @property def cache(self): if self._cache is None: self._cache = make_caches(self.name, self.metadata.get('cache'), catdir=self.metadata.get('catalog_dir', None), storage_options=self.storage_options) return self._cache @cache.setter def cache(self, csh): self._cache = csh def _get_cache(self, urlpath): if len(self.cache) == 0: return [urlpath] return [c.load(urlpath) for c in self.cache] class HoloviewsMixin: """Adds plotting and GUI to DataSource""" @property def plots(self): """List custom associated quick-plots """ return list(self.metadata.get('plots', {})) @property def gui(self): """Source GUI, with parameter selection and plotting""" return self.entry.gui @property def plot(self): """ Returns a hvPlot object to provide a high-level plotting API. To display in a notebook, be sure to run ``intake.output_notebook()`` first. """ try: from hvplot import hvPlot except ImportError: raise ImportError("The intake plotting API requires hvplot." "hvplot may be installed with:\n\n" "`conda install -c pyviz hvplot` or " "`pip install hvplot`.") metadata = self.metadata.get('plot', {}) fields = self.metadata.get('fields', {}) for attrs in fields.values(): if 'range' in attrs: attrs['range'] = tuple(attrs['range']) metadata['fields'] = fields plots = self.metadata.get('plots', {}) return hvPlot(self, custom_plots=plots, **metadata) @property def hvplot(self): """ Returns a hvPlot object to provide a high-level plotting API. """ return self.plot class PersistMixin: """Adds interaction with PersistStore to DataSource""" def get_persisted(self): from ..container.persist import store from dask.base import tokenize return store[tokenize(self)]() @staticmethod def _persist(source, path, **kwargs): """To be implemented by 'container' sources for locally persisting""" raise NotImplementedError @property def has_been_persisted(self): from ..container.persist import store from dask.base import tokenize return tokenize(self) in store @property def is_persisted(self): from ..container.persist import store return self.metadata.get('original_tok', None) in store def persist(self, ttl=None, **kwargs): """Save data from this source to local persistent storage Parameters ---------- ttl: numeric, optional Time to live in seconds. If provided, the original source will be accessed and a new persisted version written transparently when more than ``ttl`` seconds have passed since the old persisted version was written. kargs: passed to the _persist method on the base container. """ from ..container.persist import PersistStore from dask.base import tokenize if 'original_tok' in self.metadata: raise ValueError('Cannot persist a source taken from the persist ' 'store') if ttl is not None and not isinstance(ttl, (int, float)): raise ValueError('Cannot persist using a time to live that is ' f'non-numeric. User-provided ttl was {ttl}') store = PersistStore() out = self._export(store.getdir(self), **kwargs) out.metadata.update({ 'ttl': ttl, 'cat': {} if self.cat is None else self.cat.__getstate__() }) out.name = self.name store.add(tokenize(self), out) return out class DataSourceBase(DictSerialiseMixin): """An object which can produce data This is the base class for all Intake plugins, including catalogs and remote (server) data objects. To produce a new plugin commonly involves subclassing this definition and overriding some or all of the methods. This class is not useful in itself, most methods raise NotImplemented. """ name = None version = None container = None partition_access = False description = None dtype = None shape = None npartitions = 0 _schema = None on_server = False cat = None # the cat from which this source was made _entry = None def __init__(self, storage_options=None, metadata=None): # default data self.metadata = metadata or {} if isinstance(self.metadata, dict) and storage_options is None: storage_options = self._captured_init_kwargs.get('storage_options', {}) self.storage_options = storage_options def _get_schema(self): """Subclasses should return an instance of base.Schema""" raise NotImplementedError def _get_partition(self, i): """Subclasses should return a container object for this partition This function will never be called with an out-of-range value for i. """ raise NotImplementedError def _close(self): """Subclasses should close all open resources""" raise NotImplementedError def _load_metadata(self): """load metadata only if needed""" if self._schema is None: self._schema = self._get_schema() self.dtype = self._schema.dtype self.shape = self._schema.shape self.npartitions = self._schema.npartitions self.metadata.update(self._schema.extra_metadata) def _yaml(self): import inspect kwargs = self._captured_init_kwargs.copy() meta = kwargs.pop('metadata', self.metadata) or {} kwargs.update(dict(zip(inspect.signature(self.__init__).parameters, self._captured_init_args))) data = { 'sources': {self.name: { 'driver': self.classname, 'description': self.description or "", 'metadata': meta, 'args': kwargs }}} return data def yaml(self): """Return YAML representation of this data-source The output may be roughly appropriate for inclusion in a YAML catalog. This is a best-effort implementation """ data = self._yaml() return dump(data, default_flow_style=False) def _ipython_display_(self): """Display the entry as a rich object in an IPython session.""" from IPython.display import display data = self._yaml()['sources'] contents = dump(data, default_flow_style=False) display({ 'application/yaml': contents, 'text/plain': pretty_describe(contents) }, metadata={ 'application/json': {'root': self.name} }, raw=True) def __repr__(self): return self.yaml() @property def is_persisted(self): """The base class does not interact with persistence""" return False @property def has_been_persisted(self): """The base class does not interact with persistence""" return False def _get_cache(self, urlpath): """The base class does not interact with caches""" return urlpath def discover(self): """Open resource and populate the source attributes.""" self._load_metadata() return dict(dtype=self.dtype, shape=self.shape, npartitions=self.npartitions, metadata=self.metadata) def read(self): """Load entire dataset into a container and return it""" if not self.partition_access or self.npartitions == 1: return self._get_partition(0) else: raise NotImplementedError def read_chunked(self): """Return iterator over container fragments of data source""" self._load_metadata() for i in range(self.npartitions): yield self._get_partition(i) def read_partition(self, i): """Return a part of the data corresponding to i-th partition. By default, assumes i should be an integer between zero and npartitions; override for more complex indexing schemes. """ self._load_metadata() if i < 0 or i >= self.npartitions: raise IndexError('%d is out of range' % i) return self._get_partition(i) def to_dask(self): """Return a dask container for this data source""" raise NotImplementedError def to_spark(self): """Provide an equivalent data object in Apache Spark The mapping of python-oriented data containers to Spark ones will be imperfect, and only a small number of drivers are expected to be able to produce Spark objects. The standard arguments may b translated, unsupported or ignored, depending on the specific driver. This method requires the package intake-spark """ raise NotImplementedError @property def entry(self): if self._entry is None: raise NoEntry("Source was not made from a catalog entry") return self._entry def configure_new(self, **kwargs): """Create a new instance of this source with altered arguments Enables the picking of options and re-evaluating templates from any user-parameters associated with this source, or overriding any of the init arguments. Returns a new data source instance. The instance will be recreated from the original entry definition in a catalog **if** this source was originally created from a catalog. """ if self._entry is not None: kw = {k: v for k, v in self._captured_init_kwargs.items() if k in self._passed_kwargs} kw.update(kwargs) obj = self._entry(**kw) obj._entry = self._entry return obj else: kw = self._captured_init_kwargs.copy() kw.update(kwargs) return type(self)(*self._captured_init_args, **kw) __call__ = get = configure_new # compatibility aliases def describe(self): """Description from the entry spec""" return self.entry.describe() def close(self): """Close open resources corresponding to this data source.""" self._close() # Boilerplate to make this object also act like a context manager def __enter__(self): self._load_metadata() return self def __exit__(self, exc_type, exc_value, traceback): self.close() def export(self, path, **kwargs): """Save this data for sharing with other people Creates a copy of the data in a format appropriate for its container, in the location specified (which can be remote, e.g., s3). Returns the resultant source object, so that you can, for instance, add it to a catalog (``catalog.add(source)``) or get its YAML representation (``.yaml()``). """ return self._export(path, **kwargs) def _export(self, path, **kwargs): from ..container import container_map import time from dask.base import tokenize method = container_map[self.container]._persist # may need to create path - access file-system method out = method(self, path=path, **kwargs) out.description = self.description metadata = {'timestamp': time.time(), 'original_metadata': self.metadata, 'original_source': self.__getstate__(), 'original_name': self.name, 'original_tok': tokenize(self), 'persist_kwargs': kwargs} out.metadata = metadata out.name = self.name return out class DataSource(CacheMixin, HoloviewsMixin, PersistMixin, DataSourceBase): """A Data Source will all optional functionality When subclassed, child classes will have the base data source functionality, plus caching, plotting and persistence abilities. """ pass class PatternMixin(object): """Helper class to provide file-name parsing abilities to a driver class""" @property def path_as_pattern(self): if hasattr(self, '_path_as_pattern'): return self._path_as_pattern raise KeyError('Plugin needs to set `path_as_pattern`' ' before setting urlpath') @path_as_pattern.setter def path_as_pattern(self, path_as_pattern): self._path_as_pattern = path_as_pattern @property def urlpath(self): return self._urlpath @urlpath.setter def urlpath(self, urlpath): from .utils import path_to_glob if hasattr(self, '_original_urlpath'): self._urlpath = urlpath return self._original_urlpath = urlpath if self.path_as_pattern: self._urlpath = path_to_glob(urlpath) else: self._urlpath = urlpath if isinstance(self.path_as_pattern, bool): if isinstance(urlpath, str) and self._urlpath == urlpath: self.path_as_pattern = False @property def pattern(self): from .utils import path_to_pattern if isinstance(self.path_as_pattern, str): return self.path_as_pattern elif self.path_as_pattern: return path_to_pattern(self._original_urlpath, self.metadata) return intake-0.6.5/intake/source/cache.py000066400000000000000000000456671416666122400172170ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from datetime import datetime from hashlib import md5 import collections import json import logging import os import posixpath import re import shutil import warnings from intake.config import conf from intake.utils import make_path_posix logger = logging.getLogger('intake') def sanitize_path(path): """Utility for cleaning up paths.""" from fsspec.utils import infer_storage_options storage_option = infer_storage_options(path) protocol = storage_option['protocol'] if protocol in ('http', 'https'): # Most FSs remove the protocol but not HTTPFS. We need to strip # it to match properly. path = os.path.normpath(path.replace("{}://".format(protocol), '')) elif protocol == 'file': # Remove trailing slashes from file paths. path = os.path.normpath(path) # Remove colons path = path.replace(':', '') # Otherwise we just make sure that path is posix return make_path_posix(path) display = set() class BaseCache(object): """ Provides utilities for managing cached data files. Providers of caching functionality should derive from this, and appear as entries in ``registry``. The principle methods to override are ``_make_files()`` and ``_load()`` and ``_from_metadata()``. """ # download block size in bytes blocksize = 5000000 def __init__(self, driver, spec, catdir=None, cache_dir=None, storage_options={}): """ Parameters ---------- driver: str Name of the plugin that can load catalog entry spec: dict Specification for caching the data source. cache_dir: str or None Explicit location of cache root directory catdir: str or None Directory containing the catalog from which this spec was made """ self._driver = driver self._spec = spec cd = make_path_posix(cache_dir or conf['cache_dir']) if cd == 'catdir': if catdir is None: raise TypeError('cache_dir="catdir" only allowed when loaded' 'from a catalog file.') cd = posixpath.join(catdir, 'intake_cache') self._cache_dir = cd self._storage_options = storage_options self._metadata = CacheMetadata() def _ensure_cache_dir(self): if not os.path.exists(self._cache_dir): os.makedirs(self._cache_dir) if os.path.isfile(self._cache_dir): raise Exception("Path for cache directory exists as a file: {}" "".format(self._cache_dir)) def _munge_path(self, cache_subdir, urlpath): import re path = sanitize_path(urlpath) if 'regex' in self._spec: regex = r'%s' % sanitize_path(self._spec['regex']) path = re.sub(regex, '', path) return posixpath.join(self._cache_dir, cache_subdir, path.lstrip('/\\')) def _hash(self, urlpath): return md5( str((os.path.basename(urlpath), self._spec.get('regex', ''), self._driver)).encode() ).hexdigest() def _path(self, urlpath, subdir=None): if subdir is None: subdir = self._hash(urlpath) cache_path = self._munge_path(subdir, urlpath) dirname = os.path.dirname(cache_path) if not os.path.exists(dirname): if not (dirname.startswith('https://') or dirname.startswith('http://')): os.makedirs(dirname) return cache_path def _log_metadata(self, urlpath, original_path, cache_path): metadata = { 'created': datetime.now().isoformat(), 'original_path': original_path, 'cache_path': cache_path } self._metadata.update(urlpath, metadata) def load(self, urlpath, output=None, **kwargs): """ Downloads data from a given url, generates a hashed filename, logs metadata, and caches it locally. Parameters ---------- urlpath: str, location of data May be a local path, or remote path if including a protocol specifier such as ``'s3://'``. May include glob wildcards. output: bool Whether to show progress bars; turn off for testing Returns ------- List of local cache_paths to be opened instead of the remote file(s). If caching is disable, the urlpath is returned. """ if conf.get('cache_disabled', False): return [urlpath] self.output = output if output is not None else conf.get( 'cache_download_progress', True) cache_paths = self._from_metadata(urlpath) if cache_paths is None: files_in, files_out = self._make_files(urlpath) self._load(files_in, files_out, urlpath) cache_paths = self._from_metadata(urlpath) return cache_paths def _from_metadata(self, urlpath): """Return set of local URLs if files already exist""" md = self.get_metadata(urlpath) if md is not None: return [e['cache_path'] for e in md] def _load(self, files_in, files_out, urlpath, meta=True): """Download a set of files""" import dask out = [] outnames = [] for file_in, file_out in zip(files_in, files_out): cache_path = file_out.path outnames.append(cache_path) # If `_munge_path` did not find a match we want to avoid # writing to the urlpath. if cache_path == urlpath: continue if not os.path.isfile(cache_path): logger.debug("Caching file: {}".format(file_in.path)) logger.debug("Original path: {}".format(urlpath)) logger.debug("Cached at: {}".format(cache_path)) if meta: self._log_metadata(urlpath, file_in.path, cache_path) ddown = dask.delayed(_download) out.append(ddown(file_in, file_out, self.blocksize, self.output)) dask.compute(*out) return outnames def _make_files(self, urlpath, **kwargs): """Make OpenFiles for all input/outputs""" raise NotImplementedError def get_metadata(self, urlpath): """ Parameters ---------- urlpath: str, location of data May be a local path, or remote path if including a protocol specifier such as ``'s3://'``. May include glob wildcards. Returns ------- Metadata (dict) about a given urlpath. """ return self._metadata.get(urlpath) def clear_cache(self, urlpath): """ Clears cache and metadata for a given urlpath. Parameters ---------- urlpath: str, location of data May be a local path, or remote path if including a protocol specifier such as ``'s3://'``. May include glob wildcards. """ cache_entries = self._metadata.pop(urlpath, []) # ignore if missing for cache_entry in cache_entries: try: os.remove(cache_entry['cache_path']) except (OSError, IOError): pass try: fn = os.path.dirname(cache_entry['cache_path']) os.rmdir(fn) except (OSError, IOError): logger.debug("Failed to remove cache directory: %s" % fn) def clear_all(self): """ Clears all cache and metadata. """ for urlpath in self._metadata.keys(): self.clear_cache(urlpath) # Safely clean up anything else. if not os.path.isdir(self._cache_dir): return for subdir in os.listdir(self._cache_dir): try: fn = posixpath.join(self._cache_dir, subdir) if os.path.isdir(fn): shutil.rmtree(fn) if os.path.isfile(fn): os.remove(fn) except (OSError, IOError) as e: logger.warning(str(e)) def _download(file_in, file_out, blocksize, output=False): """Read from input and write to output file in blocks""" with warnings.catch_warnings(): warnings.filterwarnings('ignore') if output: try: from tqdm.autonotebook import tqdm except ImportError: logger.warn("Cache progress bar requires tqdm to be installed:" " conda/pip install tqdm") output = False try: file_size = file_in.fs.size(file_in.path) pbar_disabled = not file_size except ValueError as err: logger.debug("File system error requesting size: {}".format(err)) file_size = 0 pbar_disabled = True if output: if not pbar_disabled: for i in range(100): if i not in display: display.add(i) out = i break pbar = tqdm(total=file_size // 2 ** 20, leave=False, disable=pbar_disabled, position=out, desc=os.path.basename(file_out.path), mininterval=0.1, bar_format=r'{n}/|/{l_bar}') else: output = False logger.debug("Caching {}".format(file_in.path)) with file_in as f1: with file_out as f2: data = True while data: data = f1.read(blocksize if file_size else -1) f2.write(data) if output: pbar.update(len(data) // 2**20) if output: try: pbar.update(pbar.total - pbar.n) # force to full pbar.close() except Exception as e: logger.debug('tqdm exception: %s' % e) finally: display.remove(out) class FileCache(BaseCache): """Cache specific set of files Input is a single file URL, URL with glob characters or list of URLs. Output is a specific set of local files. """ def _make_files(self, urlpath, **kwargs): from fsspec import open_files self._ensure_cache_dir() if isinstance(urlpath, (list, tuple)): subdir = self._hash(":".join(urlpath)) else: subdir = self._hash(urlpath) files_in = open_files(urlpath, 'rb', **self._storage_options) files_out = [open_files([self._path(f.path, subdir)], 'wb', **self._storage_options)[0] for f in files_in] return files_in, files_out def _from_metadata(self, urlpath): return super()._from_metadata(urlpath) class DirCache(BaseCache): """Cache a complete directory tree Input is a directory root URL, plus a ``depth`` parameter for how many levels of subdirectories to search. All regular files will be copied. Output is the resultant local directory tree. """ def _make_files(self, urlpath, **kwargs): from fsspec import open_files self._ensure_cache_dir() subdir = self._hash(urlpath) depth = self._spec['depth'] files_in = [] for i in range(1, depth + 1): files_in.extend(open_files('/'.join([urlpath] + ['*']*i))) files_out = [open_files([self._path(f.path, subdir)], 'wb', **self._storage_options)[0] for f in files_in] files_in2, files_out2 = [], [] paths = set(os.path.dirname(f.path) for f in files_in) for fin, fout in zip(files_in, files_out): if fin.path in paths: try: os.makedirs(fout.path) except Exception: pass else: files_in2.append(fin) files_out2.append(fout) return files_in2, files_out2 def _from_metadata(self, urlpath): """Return set of local URLs if files already exist""" md = self.get_metadata(urlpath) if md is not None: return [self._path(urlpath)] class CompressedCache(BaseCache): """Cache files extracted from downloaded compressed source For one or more remote compressed files, downloads to local temporary dir and extracts all contained files to local cache. Input is URL(s) (including globs) pointing to remote compressed files, plus optional ``decomp``, which is "infer" by default (guess from file extension) or one of the key strings in ``intake.source.decompress.decomp``. Optional ``regex_filter`` parameter is used to load only the extracted files that match the pattern. Output is the list of extracted files. """ def _make_files(self, urlpath, **kwargs): import tempfile d = tempfile.mkdtemp() from fsspec import open_files self._ensure_cache_dir() self._urlpath = urlpath files_in = open_files(urlpath, 'rb', **self._storage_options) files_out = [open_files( [make_path_posix(os.path.join(d, os.path.basename(f.path)))], 'wb')[0] for f in files_in ] super(CompressedCache, self)._load(files_in, files_out, urlpath, meta=False) return files_in, files_out def _load(self, files_in, files_out, urlpath, meta=True): from .decompress import decomp subdir = self._path(urlpath) try: os.makedirs(subdir) except (OSError, IOError): pass files = [f.path for f in files_out] out = [] for f, orig in zip(files, files_in): # TODO: add snappy, brotli, lzo, lz4, xz... ? if 'decomp' in self._spec and self._spec['decomp'] != 'infer': d = self._spec['decomp'] elif f.endswith('.zip'): d = 'zip' elif f.endswith(".tar.gz") or f.endswith('.tgz'): d = 'tgz' elif f.endswith(".tar.bz2") or f.endswith('.tbz'): d = 'tbz' elif f.endswith(".tar"): d = 'tar' elif f.endswith('.gz'): d = 'gz' elif f.endswith('.bz2'): d = 'bz' if d not in decomp: raise ValueError('Unknown compression for "%s"' % f) out2 = decomp[d](f, subdir) out3 = filter(re.compile(self._spec.get('regex_filter', '.*')).search, out2) for fn in out3: logger.debug("Caching file: {}".format(f)) logger.debug("Original path: {}".format(orig.path)) logger.debug("Cached at: {}".format(fn)) if meta: self._log_metadata(self._urlpath, orig.path, fn) out.append(fn) return out class DATCache(BaseCache): r"""Use the DAT protocol to replicate data For details of the protocol, see https://docs.datproject.org/ The executable ``dat`` must be available. Since in this case, it is not possible to access the remote files directly, this cache mechanism takes no parameters. The expectation is that the url passed by the driver is of the form: :: dat:///file_pattern where the file pattern will typically be a glob string like "\*.json". """ def _make_files(self, urlpath, **kwargs): self._ensure_cache_dir() return None, None def _load(self, _, __, urlpath, meta=True): import subprocess from fsspec import open_files path = os.path.join(self._cache_dir, self._hash(urlpath)) dat, part = os.path.split(urlpath) cmd = ['dat', 'clone', dat, path, '--no-watch'] try: subprocess.call(cmd, stdout=subprocess.PIPE) except (IOError, OSError): # pragma: no cover logger.info('Calling DAT failed') raise newpath = os.path.join(path, part) if meta: for of in open_files(newpath): self._log_metadata(urlpath, urlpath, of.path) class CacheMetadata(collections.abc.MutableMapping): """ Utility class for managing persistent metadata stored in the Intake config directory. """ def __init__(self, *args, **kwargs): from intake import config self._path = posixpath.join(make_path_posix(config.confdir), 'cache_metadata.json') d = os.path.dirname(self._path) if not os.path.exists(d): os.makedirs(d) if os.path.isfile(self._path): with open(self._path) as f: self._metadata = json.load(f) else: self._metadata = {} def __getitem__(self, key): return self._metadata[self.__keytransform__(key)] def __setitem__(self, key, value): self._metadata[self.__keytransform__(key)] = value self._save() def __delitem__(self, key): del self._metadata[self.__keytransform__(key)] self._save() def __iter__(self): return iter(self._metadata) def __len__(self): return len(self._metadata) def __keytransform__(self, key): if isinstance(key, (list, tuple)): key = ":".join(key) return key def update(self, key, cache_entry): key = self.__keytransform__(key) entries = self._metadata.get(key, []) entries.append(cache_entry) self._metadata[key] = entries self._save() def _save(self): with open(self._path, 'w') as f: json.dump(self._metadata, f) def pop(self, key, default=None): item = self._metadata.pop(key, default) self._save() return item def keys(self): return list(self._metadata.keys()) registry = { 'file': FileCache, 'dir': DirCache, 'compressed': CompressedCache, 'dat': DATCache } def make_caches(driver, specs, catdir=None, cache_dir=None, storage_options={}): """ Creates Cache objects from the cache_specs provided in the catalog yaml file Parameters ---------- driver: str Name of the plugin that can load catalog entry specs: list Specification for caching the data source. """ if specs is None: return [] out = [] for spec in specs: if 'type' in spec and spec['type'] not in registry: raise IndexError(spec['type']) out.append(registry.get(spec['type'], FileCache)( driver, spec, catdir=catdir, cache_dir=cache_dir, storage_options=storage_options)) return out intake-0.6.5/intake/source/csv.py000066400000000000000000000125351416666122400167330ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from . import base from .utils import DASK_VERSION, reverse_formats, unique_string class CSVSource(base.DataSource, base.PatternMixin): """Read CSV files into dataframes Prototype of sources reading dataframe data """ name = 'csv' version = '0.0.1' container = 'dataframe' partition_access = True def __init__(self, urlpath, csv_kwargs=None, metadata=None, storage_options=None, path_as_pattern=True): """ Parameters ---------- urlpath : str or iterable, location of data May be a local path, or remote path if including a protocol specifier such as ``'s3://'``. May include glob wildcards or format pattern strings. Some examples: - ``{{ CATALOG_DIR }}data/precipitation.csv`` - ``s3://data/*.csv`` - ``s3://data/precipitation_{state}_{zip}.csv`` - ``s3://data/{year}/{month}/{day}/precipitation.csv`` - ``{{ CATALOG_DIR }}data/precipitation_{date:%Y-%m-%d}.csv`` csv_kwargs : dict Any further arguments to pass to Dask's read_csv (such as block size) or to the `CSV parser `_ in pandas (such as which columns to use, encoding, data-types) storage_options : dict Any parameters that need to be passed to the remote data backend, such as credentials. path_as_pattern : bool or str, optional Whether to treat the path as a pattern (ie. ``data_{field}.csv``) and create new columns in the output corresponding to pattern fields. If str, is treated as pattern to match on. Default is True. """ self.path_as_pattern = path_as_pattern self.urlpath = urlpath self._storage_options = storage_options self._csv_kwargs = csv_kwargs or {} self._dataframe = None super(CSVSource, self).__init__(metadata=metadata) def _set_pattern_columns(self, path_column): """Get a column of values for each field in pattern """ from pandas.api.types import CategoricalDtype col = self._dataframe[path_column] paths = sorted(col.cat.categories) column_by_field = {field: col.cat.codes.map(dict(enumerate(values))).astype( CategoricalDtype(set(values)) ) for field, values in reverse_formats(self.pattern, paths).items() } self._dataframe = self._dataframe.assign(**column_by_field) def _path_column(self): """Set ``include_path_column`` in csv_kwargs and returns path column name """ path_column = self._csv_kwargs.get('include_path_column') if path_column is None: # if path column name is not set by user, set to a unique string to # avoid conflicts path_column = unique_string() self._csv_kwargs['include_path_column'] = path_column elif isinstance(path_column, bool): path_column = 'path' self._csv_kwargs['include_path_column'] = path_column return path_column def _open_dataset(self, urlpath): """Open dataset using dask and use pattern fields to set new columns """ import dask.dataframe if self.pattern is None: self._dataframe = dask.dataframe.read_csv( urlpath, storage_options=self._storage_options, **self._csv_kwargs) return drop_path_column = 'include_path_column' not in self._csv_kwargs path_column = self._path_column() self._dataframe = dask.dataframe.read_csv( urlpath, storage_options=self._storage_options, **self._csv_kwargs) # add the new columns to the dataframe self._set_pattern_columns(path_column) if drop_path_column: self._dataframe = self._dataframe.drop([path_column], axis=1) def _get_schema(self): urlpath = self._get_cache(self._urlpath)[0] if self._dataframe is None: self._open_dataset(urlpath) dtypes = self._dataframe._meta.dtypes.to_dict() dtypes = {n: str(t) for (n, t) in dtypes.items()} return base.Schema(dtype=dtypes, shape=(None, len(dtypes)), npartitions=self._dataframe.npartitions, extra_metadata={}) def _get_partition(self, i): self._get_schema() return self._dataframe.get_partition(i).compute() def read(self): self._get_schema() return self._dataframe.compute() def to_dask(self): self._get_schema() return self._dataframe def to_spark(self): from intake_spark.base import SparkHolder h = SparkHolder(True, [ ('read', ), ('format', ("csv", )), ('option', ("header", "true")), ('load', (self.urlpath, )) ], {}) return h.setup() def _close(self): self._dataframe = None intake-0.6.5/intake/source/decompress.py000066400000000000000000000040451416666122400203010ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os from intake.utils import make_path_posix def unzip(f, outpath): import zipfile z = zipfile.ZipFile(f, 'r') z.extractall(outpath) out = [make_path_posix(os.path.join(outpath, fn.filename)) for fn in z.filelist] z.close() return out def untargz(f, outpath): import tarfile tar = tarfile.open(f, "r:gz") out = [make_path_posix(os.path.join(outpath, fn.name)) for fn in tar.getmembers()] tar.extractall(outpath) tar.close() return out def untarbz(f, outpath): import tarfile tar = tarfile.open(f, "r:bz2") out = [make_path_posix(os.path.join(outpath, fn.name)) for fn in tar.getmembers()] tar.extractall(outpath) tar.close() return out def untar(f, outpath): import tarfile tar = tarfile.open(f, "r:") out = [make_path_posix(os.path.join(outpath, fn.name)) for fn in tar.getmembers()] tar.extractall(outpath) tar.close() return out def ungzip(f, outpath): import gzip z = gzip.open(f) fn = os.path.basename(f)[:-3] with open(os.path.join(outpath, fn), 'wb') as fout: data = True while data: data = z.read(2**15) fout.write(data) return [make_path_posix(os.path.join(outpath, fn))] def unbzip(f, outpath): import bz2 z = bz2.open(f) fn = os.path.basename(f)[:-3] with open(os.path.join(outpath, fn), 'wb') as fout: data = True while data: data = z.read(2 ** 15) fout.write(data) return [make_path_posix(os.path.join(outpath, fn))] decomp = {'zip': unzip, 'tgz': untargz, 'tbz': untarbz, 'tar': untar, 'gz': ungzip, 'bz': unbzip} intake-0.6.5/intake/source/derived.py000066400000000000000000000232361416666122400175620ustar00rootroot00000000000000from functools import lru_cache from . import import_name from .. import open_catalog from .base import DataSource, Schema class AliasSource(DataSource): """Refer to another named source, unmodified The purpose of an Alias is to be able to refer to other source(s) in the same catalog, perhaps leaving the choice of which target to load up to the user. This source makes no sense outside of a catalog. In this case, the output of the target source is not modified, but this class acts as a prototype 'derived' source for processing the output of some standard driver. After initial discovery, the source's container and other details will be updated from the target; initially, the AliasSource container is not any standard. """ container = 'other' version = 1 name = 'alias' def __init__(self, target, mapping=None, metadata=None, **kwargs): """ Parameters ---------- target: str Name of the source to load, must be a key in the same catalog mapping: dict or None If given, use this to map the string passed as ``target`` to entries in the catalog metadata: dict or None Extra metadata to associate kwargs: passed on to the target """ super(AliasSource, self).__init__(metadata) self.target = target self.mapping = mapping or {target: target} self.kwargs = kwargs self.metadata = metadata self.source = None def _get_source(self): if self.cat is None: raise ValueError('AliasSource cannot be used outside a catalog') if self.source is None: self.source = self.cat[self.mapping[self.target]]( metadata=self.metadata, **self.kwargs) self.metadata = self.source.metadata.copy() self.container = self.source.container self.partition_access = self.source.partition_access self.description = self.source.description def discover(self): self._get_source() return self.source.discover() def read(self): self._get_source() return self.source.read() def read_partition(self, i): self._get_source() return self.source.read_partition(i) def read_chunked(self): self._get_source() return self.source.read_chunked() def to_dask(self): self._get_source() return self.source.to_dask() cached_cats = lru_cache(10)(open_catalog) def get_source(target, cat, kwargs, cat_kwargs): if ":" in target: caturl, target = target.rsplit(":", 1) cat = cached_cats(caturl, **cat_kwargs) if cat: return cat[target].configure_new(**kwargs) # for testing only return target # pragma: no cover def first(targets, cat, kwargs, cat_kwargs): """A target chooser that simply picks the first from the given list This is the default, particularly for the case of only one element in the list """ targ = targets[0] return get_source(targ, cat, kwargs.get(targ, {}), cat_kwargs) def first_discoverable(targets, cat, kwargs, cat_kwargs): """A target chooser: the first target for which discover() succeeds This may be useful where some drivers are not importable, or some sources can be available only sometimes. """ for t in targets: try: s = get_source(t, cat, kwargs.get(t, {}), cat_kwargs) s.discover() return s except Exception: pass raise RuntimeError("No targets succeeded at discover()") class DerivedSource(DataSource): """Base source deriving from another source in the same catalog Target picking and parameter validation are performed here, but you probably want to subclass from one of the more specific classes like ``DataFrameTransform``. """ input_container = "other" # no constraint container = 'other' # to be filled in per instance at access time required_params = [] # list of kwargs that must be present optional_params = {} # optional kwargs with defaults def __init__(self, targets, target_chooser=first, target_kwargs=None, cat_kwargs=None, container=None, metadata=None, **kwargs): """ Parameters ---------- targets: list of string or DataSources If string(s), refer to entries of the same catalog as this Source target_chooser: function to choose between targets function(targets, cat) -> source, or a fully-qualified dotted string pointing to it target_kwargs: dict of dict with keys matching items of targets cat_kwargs: to pass to intake.open_catalog, if the target is in another catalog container: str (optional) Assumed output container, if known/different from input [Note: the exact form of target_kwargs and cat_kwargs may be subject to change] """ self.targets = targets self._chooser = (target_chooser if callable(target_chooser) else import_name(target_chooser)) self._kwargs = target_kwargs or {} self._source = None self._params = kwargs self._cat_kwargs = cat_kwargs or {} if container: self.container = container self._validate_params() super().__init__(metadata=metadata) def _validate_params(self): """That all required params are present and that optional types match""" assert set(self.required_params) - set(self._params) == set() for par, val in self.optional_params.items(): if par not in self._params: self._params[par] = val def _pick(self): """ Pick the source from the given targets """ self._source = self._chooser(self.targets, self.cat, self._kwargs, self._cat_kwargs) if self.input_container != "other": assert self._source.container == self.input_container self.metadata['target'] = self._source.metadata if self.container is None: self.container = self._source.container class GenericTransform(DerivedSource): required_params = ["transform", "transform_kwargs"] optional_params = {"allow_dask": True} """ Perform an arbitrary function to transform an input transform: function to perform transform function(container_object) -> output, or a fully-qualified dotted string pointing to it transform_params: dict The keys are names of kwargs to pass to the transform function. Values are either concrete values to pass; or param objects which can be made into widgets (but must have a default value) - or a spec to be able to make these objects. allow_dask: bool (optional, default True) Whether to_dask() is expected to work, which will in turn call the target's to_dask() """ def _validate_params(self): super()._validate_params() transform = self._params["transform"] self._transform = (transform if callable(transform) else import_name(transform)) def _get_schema(self): """We do not know the schema of a generic transform""" self._pick() return Schema() def to_dask(self): self._get_schema() if not self._params['allow_dask']: raise ValueError("This transform is not compatible with Dask" "because it has use_dask=False") return self._transform(self._source.to_dask(), **self._params["transform_kwargs"]) def read(self): self._get_schema() return self._transform(self._source.read(), **self._params["transform_kwargs"]) class DataFrameTransform(GenericTransform): """Transform where the input and output are both Dask-compatible dataframes This derives from GenericTransform, and you mus supply ``transform`` and any ``transform_kwargs``. """ input_container = "dataframe" container = "dataframe" optional_params = {} _df = None def to_dask(self): if self._df is None: self._pick() self._df = self._transform(self._source.to_dask(), **self._params["transform_kwargs"]) return self._df def _get_schema(self): """load metadata only if needed""" self.to_dask() return Schema(dtype=self._df.dtypes, shape=(None, len(self._df.columns)), npartitions=self._df.npartitions, metadata=self.metadata) def read(self): return self.to_dask().compute() class Columns(DataFrameTransform): """Simple dataframe transform to pick columns Given as an example of how to make a specific dataframe transform. Note that you could use DataFrameTransform directly, by writing a function to choose the columns instead of a method as here. """ input_container = "dataframe" container = "dataframe" required_params = ["columns"] def __init__(self, columns, **kwargs): """ columns: list of labels (usually str) or slice Columns to choose from the target dataframe """ # this class wants requires "columns", but DataFrameTransform # uses "transform_kwargs", which we don't need since we use a method for the # transform kwargs.update(transform=self.pick_columns, columns=columns, transform_kwargs={}) super().__init__(**kwargs) def pick_columns(self, df): return df[self._params["columns"]] intake-0.6.5/intake/source/discovery.py000066400000000000000000000323531416666122400201470ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pkgutil import warnings import importlib import inspect import itertools import time import logging import entrypoints from ..config import save_conf, conf, cfile logger = logging.getLogger('intake') def autodiscover(path=None, plugin_prefix='intake_', do_package_scan=False): r"""Discover intake drivers. In order of decreasing precedence: - Respect the 'drivers' section of the intake configuration file. - Find 'intake.drivers' entrypoints provided by any Python packages in the environment. - Search all packages in the environment for names that begin with ``intake\_``. Import them and scan them for subclasses of ``intake.source.base.DataSourceBase``. This was previously the *only* mechanism for auto-discoverying intake drivers, and it is maintained for backward compatibility. Parameters ---------- path : str or None Default is ``sys.path``. plugin_prefix : str DEPRECATED. Default is 'intake\_'. do_package_scan : boolean Whether to look for intake source classes in packages named "intake_*". This has been superceded by entrypoints declarations. Returns ------- drivers : dict Name mapped to driver class. """ # Discover drivers via package scan. if do_package_scan: package_scan_results = _package_scan(path, plugin_prefix) if package_scan_results: warnings.warn( "The option `do_package_scan` may be removed in a future release.", PendingDeprecationWarning) else: package_scan_results = {} # Discover drivers via entrypoints. group = entrypoints.get_group_named('intake.drivers', path=path) group_all = entrypoints.get_group_all('intake.drivers', path=path) if len(group_all) != len(group): # There are some name collisions. Let's go digging for them. for name, matches in itertools.groupby(group_all, lambda ep: ep.name): matches = list(matches) if len(matches) != 1: winner = group[name] logger.debug( "There are %d 'intake.driver' entrypoints for the name " "%r. They are %r. The match %r has won the race.", len(matches), name, matches, winner) for name, entrypoint in group.items(): logger.debug("Discovered entrypoint '%s = %s.%s'", name, entrypoint.module_name, entrypoint.object_name) if name in package_scan_results: cls = package_scan_results[name] del package_scan_results[name] logger.debug("Entrypoint shadowed package_scan result '%s = %s.%s'", name, cls.__module__, cls.__name__) # Discover drivers via config. drivers_conf = conf.get('drivers', {}) logger.debug("Using configuration file at %s", cfile()) for name, dotted_object_name in drivers_conf.items(): if not dotted_object_name: logger.debug('Name %s is banned in config file', name) if name in group: entrypoint = group[name] del group[name] logger.debug("Disabled entrypoint '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) if name in package_scan_results: cls = package_scan_results[name] del package_scan_results[name] logger.debug("Disabled package_scan result '%s = %s.%s'", name, cls.__module__, cls.__name__) continue module_name, object_name = dotted_object_name.rsplit('.', 1) entrypoint = entrypoints.EntryPoint(name, module_name, object_name) logger.debug("Discovered config-specified '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) if name in group: shadowed = group[name] logger.debug("Config shadowed entrypoint '%s = %s.%s'", shadowed.name, shadowed.module_name, shadowed.object_name) if name in package_scan_results: cls = package_scan_results[name] del package_scan_results[name] logger.debug("Config shadowed package scan result '%s = %s.%s'", name, cls.__module__, cls.__name__) group[name] = entrypoint # Discovery is complete. if package_scan_results: warnings.warn( f"The drivers {list(package_scan_results)} do not specify entry_" f"points and were only discovered via a package scan. This may " f"break in a future release of intake. The packages should be " f"updated.", FutureWarning) # Load entrypoints. Any that were shadowed or banned have already been # removed above. drivers = {} for entrypoint in group.values(): try: drivers[entrypoint.name] = _load_entrypoint(entrypoint) except ConfigurationError: logger.debug( "Error while loading entrypoint %s", entrypoint.name) continue logger.debug("Loaded entrypoint '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) # Now include any package scan results. Any that were shadowed or # banned have already been removed above. for name, cls in package_scan_results.items(): drivers[name] = cls logger.debug("Loaded package scan result '%s = %s.%s'", name, cls.__module__, cls.__name__) return drivers def autodiscover_all(path=None, plugin_prefix='intake_', do_package_scan=True): """Discover intake drivers including those registered for the same name. Parameters ---------- path : str or None Default is ``sys.path``. plugin_prefix : str DEPRECATED. Default is 'intake_'. do_package_scan : boolean Default is True. In the future, the default will be changed to False, and the option may eventually be removed entirely. Returns ------- drivers : list Each entry is a tuple: ``(name, driver_class)``. """ # Discover drivers via package scan. if do_package_scan: warnings.warn( "The option `do_package_scan` may be removed in a future release.", PendingDeprecationWarning) package_scan_results = _package_scan(path, plugin_prefix) else: package_scan_results = {} # Discover drivers via entrypoints. group_all = entrypoints.get_group_all('intake.drivers', path=path) for entrypoint in group_all: logger.debug("Discovered entrypoint '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) # Discover drivers via config. drivers_conf = conf.get('drivers', {}) logger.debug("Using configuration file at %s", cfile()) for name, dotted_object_name in drivers_conf.items(): if not dotted_object_name: continue module_name, object_name = dotted_object_name.rsplit('.', 1) entrypoint = entrypoints.EntryPoint(name, module_name, object_name) logger.debug("Discovered config-specified '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) group_all.append(entrypoint) # Load entrypoints. Any that were shadowed or banned have already been # removed above. drivers = [] for entrypoint in group_all: try: drivers.append((entrypoint.name, _load_entrypoint(entrypoint))) except ConfigurationError: logger.debug( "Error while loading entrypoint %s", entrypoint.name) continue logger.debug("Loaded entrypoint '%s = %s.%s'", entrypoint.name, entrypoint.module_name, entrypoint.object_name) # Now include any package scan results. Any that were shadowed or # banned have already been removed above. for name, cls in package_scan_results.items(): drivers.append((name, cls)) logger.debug("Loaded package scan result '%s = %s.%s'", name, cls.__module__, cls.__name__) return drivers def _load_entrypoint(entrypoint): """ Call entrypoint.load() and, if it fails, raise context-specific errors. """ try: return entrypoint.load() except ImportError as err: raise ConfigurationError( f"Failed to load {entrypoint.name} driver because module " f"{entrypoint.module_name} could not be imported.") from err except AttributeError as err: raise ConfigurationError( f"Failed to load {entrypoint.name} driver because no object " f"named {entrypoint.object_name} could be found in the module " f"{entrypoint.module_name}.") from err def _package_scan(path=None, plugin_prefix='intake_'): """Scan for intake drivers and return a dict of plugins. This searches path (or sys.path) for packages with names that start with plugin_prefix. Those modules will be imported and scanned for subclasses of intake.source.base.Plugin. Any subclasses found will be instantiated and returned in a dictionary, with the plugin's name attribute as the key. """ plugins = {} for importer, name, ispkg in pkgutil.iter_modules(path=path): if name.startswith(plugin_prefix): t = time.time() new_plugins = load_plugins_from_module(name) for plugin_name, plugin in new_plugins.items(): if plugin_name in plugins: orig_path = inspect.getfile(plugins[plugin_name]) new_path = inspect.getfile(plugin) warnings.warn('Plugin name collision for "%s" from' '\n %s' '\nand' '\n %s' '\nKeeping plugin from first location.' % (plugin_name, orig_path, new_path)) else: plugins[plugin_name] = plugin logger.debug("Import %s took: %7.2f s" % (name, time.time() - t)) return plugins def load_plugins_from_module(module_name): """Imports a module and returns dictionary of discovered Intake plugins. Plugin classes are instantiated and added to the dictionary, keyed by the name attribute of the plugin object. """ from intake.source import DataSource from intake.catalog import Catalog plugins = {} try: try: mod = importlib.import_module(module_name) except ImportError as error: if module_name.endswith('.py'): # Provide a specific error regarding the removal of behavior # that intake formerly supported. raise ImportError( "Intake formerly supported executing arbitrary Python " "files not on the sys.path. This is no longer supported. " "Drivers must be specific with a module path like " "'package_name.module_name, not a Python filename like " "'module.py'.") from error else: raise except Exception as e: logger.debug("Import module <{}> failed: {}".format(module_name, e)) return {} for _, cls in inspect.getmembers(mod, inspect.isclass): # Don't try to register plugins imported into this module elsewhere if issubclass(cls, (Catalog, DataSource)): plugins[cls.name] = cls return plugins class ConfigurationError(Exception): pass def enable(name, driver): """ Update config file drivers section to explicitly assign a driver to a name. Parameters ---------- name : string As in ``'zarr'`` driver : string Dotted object name, as in ``'intake_xarray.xzarr.ZarrSource'`` """ if 'drivers' not in conf: conf['drivers'] = {} conf['drivers'][name] = driver save_conf() def disable(name): """Update config file drivers section to disable a name. Parameters ---------- name : string As in ``'zarr'`` """ if 'drivers' not in conf: conf['drivers'] = {} conf['drivers'][name] = False save_conf() def register_all(): from intake.source import register_driver for name, driver in autodiscover().items(): register_driver(name, driver) intake-0.6.5/intake/source/jsonfiles.py000066400000000000000000000121401416666122400201240ustar00rootroot00000000000000import contextlib import json from itertools import islice from intake.source.base import DataSource class JSONFileSource(DataSource): """ Read JSON files as a single dictionary or list The files can be local or remote. Extra parameters for encoding, etc., go into ``storage_options``. """ name = "json" version = "0.0.1" container = "python" def __init__( self, urlpath: str, text_mode: bool = True, text_encoding: str = "utf8", compression: str = None, read: bool = True, metadata: dict = None, storage_options: dict = None, ): """ Parameters ---------- urlpath : str Target file. Can include protocol specified (e.g., "s3://"). text_mode : bool Whether to open the file in text mode, recoding binary characters on the fly text_encoding : str If text_mode is True, apply this encoding. UTF* is by far the most common compression : str or None If given, decompress the file with the given codec on load. Can be something like "zip", "gzip", "bz2", or to try to guess from the filename, 'infer' storage_options: dict Options to pass to the file reader backend, including text-specific encoding arguments, and parameters specific to the remote file-system driver, if using. """ from fsspec.utils import compressions VALID_COMPRESSIONS = list(compressions.values()) + ["infer"] self._urlpath = urlpath self._storage_options = storage_options or {} self._dataframe = None self._file = None self.compression = compression if compression not in VALID_COMPRESSIONS: raise ValueError( f"Compression value {compression} must be one of {VALID_COMPRESSIONS}" ) self.mode = "rt" if text_mode else "rb" self.encoding = text_encoding self._read = read super(JSONFileSource, self).__init__(metadata=metadata) def read(self): import fsspec urlpath = self._get_cache(self._urlpath)[0] with fsspec.open( urlpath, mode=self.mode, encoding=self.encoding, compression=self.compression, **self._storage_options, ) as f: return json.load(f) class JSONLinesFileSource(DataSource): """ Read a JSONL (https://jsonlines.org/) file and return a list of objects, each being valid json object (e.g. a dictionary or list) """ name = "jsonl" version = "0.0.1" container = "python" def __init__( self, urlpath: str, text_mode: bool = True, text_encoding: str = "utf8", compression: str = None, read: bool = True, metadata: dict = None, storage_options: dict = None, ): """ Parameters ---------- urlpath : str Target file. Can include protocol specified (e.g., "s3://"). text_mode : bool Whether to open the file in text mode, recoding binary characters on the fly text_encoding : str If text_mode is True, apply this encoding. UTF* is by far the most common compression : str or None If given, decompress the file with the given codec on load. Can be something like "zip", "gzip", "bz2", or to try to guess from the filename, 'infer'. storage_options: dict Options to pass to the file reader backend, including text-specific encoding arguments, and parameters specific to the remote file-system driver, if using. """ from fsspec.utils import compressions VALID_COMPRESSIONS = list(compressions.values()) + ["infer"] self._urlpath = urlpath self._storage_options = storage_options or {} self._dataframe = None self._file = None self.compression = compression if compression not in VALID_COMPRESSIONS: raise ValueError( f"Compression value {compression} must be one of {VALID_COMPRESSIONS}" ) self.mode = "rt" if text_mode else "rb" self.encoding = text_encoding self._read = read super().__init__(metadata=metadata) @contextlib.contextmanager def _open(self): """ Yields an fsspec.OpenFile object """ import fsspec urlpath = self._get_cache(self._urlpath)[0] with fsspec.open( urlpath, mode=self.mode, encoding=self.encoding, compression=self.compression, **self._storage_options, ) as f: yield f def read(self): with self._open() as f: return list(map(json.loads, f)) def head(self, nrows: int = 100): """ return the first `nrows` lines from the file """ with self._open() as f: return list(map(json.loads, islice(f, nrows))) intake-0.6.5/intake/source/npy.py000066400000000000000000000122061416666122400167410ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from .base import DataSource, Schema class NPySource(DataSource): """Read numpy binary files into an array Prototype source showing example of working with arrays Each file becomes one or more partitions, but partitioning within a file is only along the largest dimension, to ensure contiguous data. """ container = 'ndarray' name = 'numpy' version = '0.0.1' partition_access = True def __init__(self, path, dtype=None, shape=None, chunks=None, storage_options=None, metadata=None): """ The parameters dtype and shape will be determined from the first file, if not given. Parameters ---------- path: str of list of str Location of data file(s), possibly including glob and protocol information dtype: str dtype spec In known, the dtype (e.g., "int64" or "f4"). shape: tuple of int If known, the length of each axis chunks: int Size of chunks within a file along biggest dimension - need not be an exact factor of the length of that dimension storage_options: dict Passed to file-system backend. """ self.path = path self.shape = shape self.dtype = dtype self.storage = storage_options or {} self._chunks = chunks if chunks is not None else -1 self.chunks = None self._arrs = None self._arr = None super(NPySource, self).__init__(metadata=metadata) def _get_schema(self): from fsspec import open_files import dask.array as da if self._arr is None: path = self._get_cache(self.path)[0] files = open_files(path, 'rb', compression=None, **self.storage) if self.shape is None: arr = NumpyAccess(files[0]) self.shape = arr.shape self.dtype = arr.dtype arrs = [arr] + [NumpyAccess(f, self.shape, self.dtype, offset=arr.offset) for f in files[1:]] else: arrs = [NumpyAccess(f, self.shape, self.dtype) for f in files] self.chunks = (self._chunks, ) + (-1, ) * (len(self.shape) - 1) self._arrs = [da.from_array(arr, self.chunks) for arr in arrs] if len(self._arrs) > 1: self._arr = da.stack(self._arrs) else: self._arr = self._arrs[0] self.chunks = self._arr.chunks return Schema(dtype=str(self.dtype), shape=self.shape, extra_metadata=self.metadata, npartitions=self._arr.npartitions, chunks=self.chunks) def _get_partition(self, i): if isinstance(i, list): i = tuple(i) return self._arr.blocks[i].compute() def read_partition(self, i): self._get_schema() return self._get_partition(i) def to_dask(self): self._get_schema() return self._arr def read(self): self._get_schema() return self._arr.compute() def _close(self): self._arrs = None self._arr = None class NumpyAccess(object): def __init__(self, f, shape=None, dtype=None, order='C', offset=None): self.f = f self.shape = shape self.dtype = dtype self.order = order self.offset = offset if self.shape is None or dtype is None or offset is None: self._get_info() self.ndim = len(self.shape) def __getitem__(self, item): import numpy as np import copy if isinstance(item, tuple): item = item[0] first = (item.stop or self.shape[0]) - (item.start or 0) block = item.start or 0 count = first for i in self.shape[1:]: block *= i count *= i if count == 0: return np.array([], dtype=self.dtype).reshape( *(-1, ) + self.shape[1:]) start = self.offset + block * self.dtype.itemsize shape = (first, ) + self.shape[1:] fn = copy.copy(self.f) # makes local copy to avoid close while reading with fn as f: f.seek(start) data = f.read(count * self.dtype.itemsize) return np.frombuffer(data, dtype=self.dtype).reshape(shape) def _get_info(self): from numpy.lib import format with self.f as fp: version = format.read_magic(fp) format._check_version(version) shape, fortran_order, dtype = format._read_array_header(fp, version) self.shape = shape self.dtype = dtype self.order = 'F' if fortran_order else 'C' self.offset = fp.tell() intake-0.6.5/intake/source/tests/000077500000000000000000000000001416666122400167225ustar00rootroot00000000000000intake-0.6.5/intake/source/tests/__init__.py000066400000000000000000000005061416666122400210340ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/source/tests/alias.yaml000066400000000000000000000006211416666122400206760ustar00rootroot00000000000000sources: csvs: driver: textfiles args: urlpath: '{{ CATALOG_DIR }}/*.csv' yamls: driver: textfiles args: urlpath: '{{ CATALOG_DIR }}/*.yaml' alias1: driver: intake.source.derived.AliasSource args: mapping: first: csvs second: yamls target: first alias2: driver: intake.source.derived.AliasSource args: target: csvs intake-0.6.5/intake/source/tests/cached.yaml000066400000000000000000000020651416666122400210200ustar00rootroot00000000000000sources: calvert: driver: csv args: urlpath: '{{ CATALOG_DIR }}/calvert_uk.zip' cache: - type: compressed argkey: urlpath calvert_infer: driver: csv args: urlpath: '{{ CATALOG_DIR }}/calvert_uk.zip' cache: - type: compressed argkey: urlpath decomp: infer calvert_badkey: driver: csv args: urlpath: '{{ CATALOG_DIR }}/calvert_uk.zip' cache: - type: compressed argkey: urlpath decomp: unknown calvert_filter: driver: csv args: urlpath: '{{ CATALOG_DIR }}/calvert_uk_filter.tar.gz' cache: - type: compressed argkey: urlpath regex_filter: '.*calvert_uk_research2017_nodes.csv' dirs: driver: textfiles args: urlpath: '{{ CATALOG_DIR }}/main' cache: - type: dir argkey: urlpath depth: 2 dat_data: driver: textfiles args: urlpath: 'dat://66ef52101a2543e1721c901e84d2dd7a758c94283b8501d34a691abefe3fb3d6/*.json' decoder: json.loads cache: - type: dat intake-0.6.5/intake/source/tests/calvert_uk.zip000066400000000000000000045720621416666122400216250ustar00rootroot00000000000000PKFuJsvZ2e#!calvert_uk_research2017_nodes.csvUT 9YH9Yux v\G- shD0خcǽ-{ AI٩'8MNZ{{c5m)oq2Rpml^sm./iTZ2fa=мu27Wfu^v}VLZ륑./,e{]hd}\nۛ//E:˖jO eicMj_e\~ȥew&,Mr:A&=}ܯW ow[.~=It|x/.ŲgM̲Za&3n.ޯ >2˄7,cQڕd3l} ,S~iSk޴EԊ 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Q0liN& &K]c!MLGf߇a2j>0#25vN=6D>`ñ%ۥ1vyauvɤxꦲVGWoh "bffJw 77w,Ghɜp39&^Ʈ7#E&[q)T'xؤK-02Y #`-"'0)0~8sm@MF!ɠRمM־d$Rk~aUl怛{'rL'Q4g`KR8JTCD+'6ۇiL@%d8)Fp\3P{ z]|/,VU] >FG(2zKd&N3T3 zDHEb \LpGNYoWo^w'23DCI4Il >jJJLpiw4Ƨl&y"G9Y5-w2綂:[wʌ C^JOW돧&uAZDDYMm~x->@鶻w/p=`.9A'`j`3f-j@9:!hG gjŌRE[)/Y]`=oQࢉs`Oa(Kh*|<2>,[$\*.t,8hTtcH:JȪ;|O5L 'IU#>] ut'&JAЪws~& !~N8¨4|d @~ͱlf6ꁏoM"YN2͏x`BW}$g/9 2qL0 Z/ {qD^ SJVĞsf)WSFbI]BXS$x6IU@̤.dVf}Һf둀3Yꓩ+&|CP)M$I$i7l.c.3aTP{wfyZN"HgpOFe2=hU҇Xg}16&{n2:X6W9>ի-DmFjLRw`.6 #N"Sy;.sXDǿst#<[rϾӿ_Ͽ?Ͽ?Ͽ?0Ax#intake-0.6.5/intake/source/tests/data.zarr/000077500000000000000000000000001416666122400206105ustar00rootroot00000000000000intake-0.6.5/intake/source/tests/data.zarr/.zarray000066400000000000000000000004671416666122400221300ustar00rootroot00000000000000{ "chunks": [ 10 ], "compressor": { "blocksize": 0, "clevel": 5, "cname": "lz4", "id": "blosc", "shuffle": 1 }, "dtype": " out.index(b'foo') subprocess.check_output(shlex.split( "intake drivers disable foo" ), stderr=subprocess.STDOUT, env=env) out = subprocess.check_output(shlex.split( "intake drivers list" ), stderr=subprocess.STDOUT, env=env) assert b'foo' in out assert out.index(b'Not enabled') < out.index(b'foo') def test_discover(extra_pythonpath, tmp_config_path): with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(do_package_scan=True) # Check that package scan (name-based) discovery worked. assert 'foo' in registry registry['foo']() # Check that entrypoints-based discovery worked. assert 'some_test_driver' in registry registry['some_test_driver']() # Now again, giving the special PYTHONPATH explicit via kwarg. with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(path=[extra_pythonpath], do_package_scan=True) # Check that package scan (name-based) discovery worked. assert 'foo' in registry registry['foo']() # Check that entrypoints-based discovery worked. assert 'some_test_driver' in registry registry['some_test_driver']() # Now again, turning off the package scan. registry = discovery.autodiscover( path=[extra_pythonpath], do_package_scan=False) # Check that package scan (name-based) discovery did *not* happen. assert 'foo' not in registry # Check that entrypoints-based discovery worked. assert 'some_test_driver' in registry registry['some_test_driver']() def test_enable_and_disable(extra_pythonpath, tmp_config_path): # Disable and then enable a package scan result. try: discovery.disable('foo') with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(do_package_scan=True) assert 'foo' not in registry discovery.enable('foo', 'intake_foo.FooPlugin') with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(do_package_scan=True) assert 'foo' in registry finally: discovery.enable('foo', 'intake_foo.FooPlugin') # Disable and then enable an entrypoint result. try: discovery.disable('some_test_driver') with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(do_package_scan=True) assert 'some_test_driver' not in registry discovery.enable( 'some_test_driver', 'driver_with_entrypoints.SomeTestDriver') with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(do_package_scan=True) assert 'some_test_driver' in registry finally: discovery.enable( 'some_test_driver', 'driver_with_entrypoints.SomeTestDriver') def test_discover_pluginprefix(extra_pythonpath, tmp_config_path): with pytest.warns(PendingDeprecationWarning): registry = discovery.autodiscover(plugin_prefix='not_intake_', do_package_scan=True) assert 'otherfoo' in registry registry['otherfoo']() registry.pop('otherfoo', None) def test_discover_collision(extra_pythonpath, tmp_config_path): with pytest.warns(UserWarning): discovery.autodiscover(plugin_prefix='collision_', do_package_scan=True) intake-0.6.5/intake/source/tests/test_json.py000066400000000000000000000041571416666122400213130ustar00rootroot00000000000000# ----------------------------------------------------------------------------- # Copyright (c) 2012 - 2021, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. # ----------------------------------------------------------------------------- import json import os from pathlib import Path from typing import Dict, Optional import pytest from fsspec import open_files from fsspec.utils import compressions from intake.source.jsonfiles import JSONFileSource, JSONLinesFileSource here = os.path.abspath(os.path.dirname(__file__)) EXTENSIONS = { compression: f".{extension}" for extension, compression in compressions.items() } @pytest.fixture(params=[None, "gzip", "bz2"]) def json_file(request, tmp_path) -> str: data = {"hello": "world"} file_path = str(tmp_path / "1.json") file_path += EXTENSIONS.get(request.param, "") with open_files([file_path], mode="wt", compression=request.param)[0] as f: f.write(json.dumps(data)) return file_path @pytest.fixture(params=[None, "gzip", "bz2"]) def jsonl_file(request, tmp_path) -> str: data = [{"hello": "world"}, [1, 2, 3]] file_path = str(tmp_path / "1.jsonl") file_path += EXTENSIONS.get(request.param, "") with open_files([file_path], mode="wt", compression=request.param)[0] as f: f.write("\n".join(json.dumps(row) for row in data)) return file_path def test_jsonfile(json_file: str): j = JSONFileSource(json_file, text_mode=True, compression="infer") out = j.read() assert isinstance(out, dict) assert out["hello"] == "world" def test_jsonlfile(jsonl_file: str): j = JSONLinesFileSource(jsonl_file, compression="infer") out = j.read() assert isinstance(out, list) assert isinstance(out[0], dict) assert out[0]["hello"] == "world" assert isinstance(out[1], list) assert out[1] == [1, 2, 3] def test_jsonl_head(jsonl_file: str): j = JSONLinesFileSource(jsonl_file, compression="infer") out = j.head(1) assert isinstance(out, list) assert len(out) == 1 assert out[0]["hello"] == "world" intake-0.6.5/intake/source/tests/test_npy.py000066400000000000000000000043541416666122400211470ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import numpy as np import posixpath import pytest import intake from ..npy import NPySource here = os.path.abspath(os.path.dirname(__file__)) @pytest.mark.parametrize('shape', [(1, ), (1, 1), (10, ), (5, 2), (3, 3, 3)]) def test_one_file(tempdir, shape): size = 1 for s in shape: size *= s data = np.random.randint(1, 100, size=size).reshape(shape) fn = os.path.join(tempdir, 'out.npy') np.save(fn, data) s = NPySource(fn) out = s.read() assert (out == data).all() s = NPySource(fn, chunks=1) out = s.read() assert (out == data).all() s = NPySource(fn, shape=shape, dtype='int', chunks=1) out = s.read() assert (out == data).all() @pytest.mark.parametrize('shape', [(1, ), (1, 1), (10, ), (5, 2), (3, 3, 3)]) def test_multi_file(tempdir, shape): size = 1 for s in shape: size *= s data0 = np.random.randint(1, 100, size=size).reshape(shape) fn0 = os.path.join(tempdir, 'out0.npy') np.save(fn0, data0) data1 = np.random.randint(1, 100, size=size).reshape(shape) fn1 = os.path.join(tempdir, 'out1.npy') np.save(fn1, data1) data = np.stack([data0, data1]) fn = [fn0, fn1] s = NPySource(fn) out = s.read() assert (out == data).all() s = NPySource(fn, chunks=1) out = s.read() assert (out == data).all() s = NPySource(fn, shape=shape, dtype='int', chunks=1) out = s.read() assert (out == data).all() s = NPySource(os.path.join(tempdir, 'out*.npy')) out = s.read() assert (out == data).all() def test_zarr_minimal(): pytest.importorskip('zarr') cat = intake.open_catalog(posixpath.join(here, 'sources.yaml')) s = cat.zarr1() assert s.container == 'ndarray' assert s.read().tolist() == [73, 98, 46, 38, 20, 12, 31, 8, 89, 72] assert s.npartitions == 1 assert s.dtype == 'int' assert s.shape == (10,) assert (s.read_partition((0, )) == s.read()).all() intake-0.6.5/intake/source/tests/test_text.py000066400000000000000000000070501416666122400213210ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest import intake from intake.source.textfiles import TextFilesSource from intake.source import import_name from fsspec import open_files here = os.path.abspath(os.path.dirname(__file__)) def test_textfiles(tempdir): open(os.path.join(tempdir, '1.txt'), 'wt').write('hello\nworld') open(os.path.join(tempdir, '2.txt'), 'wt').write('hello\nworld') path = os.path.join(tempdir, '*.txt') t = TextFilesSource(path) t.discover() assert t.npartitions == 2 assert t._get_partition(0) == t.to_dask().to_delayed()[0].compute() out = t.read() assert isinstance(out, list) assert out[0] == 'hello\n' @pytest.mark.parametrize('comp', [None, 'gzip', 'bz2']) def test_complex_text(tempdir, comp): dump, load, read = 'json.dumps', 'json.loads', True dump = import_name(dump) data = [{'something': 'simple', 'and': 0}] * 2 for f in ['1.out', '2.out']: fn = os.path.join(tempdir, f) with open_files([fn], mode='wt', compression=comp)[0] as fo: if read: fo.write(dump(data)) else: dump(data, fo) # that was all setup path = os.path.join(tempdir, '*.out') t = TextFilesSource(path, text_mode=True, compression=comp, decoder=load) t.discover() assert t.npartitions == 2 assert t._get_partition(0) == t.to_dask().to_delayed()[0].compute() out = t.read() assert isinstance(out, list) assert out[0] == data[0] @pytest.mark.parametrize('comp', [None, 'gzip', 'bz2']) @pytest.mark.parametrize('pars', [['msgpack.pack', 'msgpack.unpack', False], ['msgpack.packb', 'msgpack.unpackb', True], ['pickle.dump', 'pickle.load', False], ['pickle.dumps', 'pickle.loads', True]]) def test_complex_bytes(tempdir, comp, pars): dump, load, read = pars dump = import_name(dump) # using bytestrings means not needing extra en/decode argument to msgpack data = [{b'something': b'simple', b'and': 0}] * 2 for f in ['1.out', '2.out']: fn = os.path.join(tempdir, f) with open_files([fn], mode='wb', compression=comp)[0] as fo: if read: fo.write(dump(data)) else: dump(data, fo) # that was all setup path = os.path.join(tempdir, '*.out') t = TextFilesSource(path, text_mode=False, compression=comp, decoder=load, read=read) t.discover() assert t.npartitions == 2 assert t._get_partition(0) == t.to_dask().to_delayed()[0].compute() out = t.read() assert isinstance(out, list) assert out[0] == data[0] def test_text_persist(temp_cache): cat = intake.open_catalog(os.path.join(here, 'sources.yaml')) s = cat.sometext() s2 = s.persist() assert s.read() == s2.read() def test_text_export(temp_cache): import tempfile outdir = tempfile.mkdtemp() cat = intake.open_catalog(os.path.join(here, 'sources.yaml')) s = cat.sometext() out = s.export(outdir) fn = os.path.join(outdir, 'cat.yaml') with open(fn, 'w') as f: f.write(out.yaml()) cat = intake.open_catalog(fn) s2 = cat[s.name]() assert s.read() == s2.read() intake-0.6.5/intake/source/tests/test_tiled.py000066400000000000000000000014541416666122400214400ustar00rootroot00000000000000import intake import pytest import shlex import subprocess import time pytest.importorskip("tiled") import httpx # required by tiled, so will be here @pytest.fixture() def server(): cmd = shlex.split("tiled serve pyobject --public tiled.examples.generated:tree") P = subprocess.Popen(cmd) url = "http://localhost:8000" timeout = 10 while True: try: r = httpx.get(url) if r.status_code -- 200: break except: pass timeout -= 0.1 assert timeout > 0, "timeout waiting for Tiled server" time.sleep(0.1) yield url P.terminate() P.wait() def test_simple(server): cat = intake.open_tiled_cat(server) out = cat.tiny_image.read() assert out.shape == (10, 10) assert out.all() intake-0.6.5/intake/source/tests/test_utils.py000066400000000000000000000110311416666122400214670ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import pytest import datetime from intake.source.utils import ( path_to_glob, path_to_pattern, reverse_format, reverse_formats) @pytest.mark.parametrize('pattern,expected', [ ('data/LT05_L1TP_042033_{start_date:%Y%m%d}_{end_date:%Y%m%d}_01_T1_sr_band{band:1d}.tif', 'data/LT05_L1TP_042033_*_*_01_T1_sr_band*.tif'), ('data/LT05_L1TP_042033_*_*_01_T1_sr_band*.tif', 'data/LT05_L1TP_042033_*_*_01_T1_sr_band*.tif'), ('{year}/{month}/{day}.csv', '*/*/*.csv'), ('data/**/*.csv', 'data/**/*.csv'), ('data/{year:4}{month:02}{day:02}.csv', 'data/*.csv'), ('{lone_param}','*') ]) def test_path_to_glob(pattern, expected): assert path_to_glob(pattern) == expected @pytest.mark.parametrize('pattern,resolved,expected', [ ('*.csv', 'apple.csv', {}), ('{}.csv', 'apple.csv', {}), ('{fruit}.{}', 'apple.csv', {'fruit': 'apple'}), ('data//{fruit}.csv', 'data/apple.csv', {'fruit': 'apple'}), ('data\\{fruit}.csv', 'C:\\data\\apple.csv', {'fruit': 'apple'}), ('data/{fruit}.csv', 'C:\\data\\apple.csv', {'fruit': 'apple'}), ('data/{fruit}.csv', 'data//apple.csv', {'fruit': 'apple'}), ('{num:d}.csv', 'k.csv', {'num': 'k'}), ('{year:d}/{month:d}/{day:d}.csv', '2016/2/01.csv', {'year': 2016, 'month': 2, 'day': 1}), ('{year:.4}/{month:.2}/{day:.2}.csv', '2016/2/01.csv', {'year': '2016', 'month': '2', 'day': '01'}), ('SRLCCTabularDat/Ecoregions_{emissions}_Precip_{model}.csv', '/user/examples/SRLCCTabularDat/Ecoregions_a1b_Precip_ECHAM5-MPI.csv', {'emissions':'a1b', 'model': 'ECHAM5-MPI'}), ('data_{date:%Y_%m_%d}.csv', 'data_2016_10_01.csv', {'date': datetime.datetime(2016, 10, 1, 0, 0)}), ('{state}{zip:5}', 'PA19104', {'state': 'PA', 'zip': '19104'}), ('{state}{zip:5d}.csv', 'PA19104.csv', {'state': 'PA', 'zip': 19104}), ('{state:2}{zip:d}.csv', 'PA19104.csv', {'state': 'PA', 'zip': 19104}), ]) def test_reverse_format(pattern, resolved, expected): assert reverse_format(pattern, resolved) == expected @pytest.mark.parametrize('pattern,expected', [ ('{date:%Y%m%d}', {'date': datetime.datetime(2016, 10, 1)}), ('{num: .2f}', {'num': 0.23}), ('{percentage:.2%}', {'percentage': 0.23}), ('data/{year:4d}{month:02d}{day:02d}.csv', {'year': 2016, 'month': 10, 'day': 1}) ]) def test_roundtripping_reverse_format(pattern, expected): resolved = pattern.format(**expected) actual = reverse_format(pattern, resolved) assert actual == expected def test_reverse_format_errors(): pattern = '{month}{day}{year}' resolved = '20012001' with pytest.raises(ValueError, match=("Format specifier must be set " "if no separator between fields.")): reverse_format(pattern, resolved) pattern = '{month:.2}{day:2}{year:.4}' resolved = '20012001' with pytest.raises(ValueError, match="Format specifier must have a set width"): reverse_format(pattern, resolved) pattern = '{band!s}' resolved = '1' with pytest.raises(ValueError, match="Conversion not allowed. Found on band"): reverse_format(pattern, resolved) pattern = 'data_{band}' resolved = '1' with pytest.raises(ValueError, match=("Resolved string must match " "pattern. 'data_' not found.")): reverse_format(pattern, resolved) paths = ['data_2014_01_03.csv', 'data_2014_02_03.csv', 'data_2015_12_03.csv'] @pytest.mark.parametrize('pattern', [ 'data_{year}_{month}_{day}.csv', 'data_{year:d}_{month:02d}_{day:02d}.csv', 'data_{date:%Y_%m_%d}.csv' ]) def test_roundtrip_reverse_formats(pattern): args = reverse_formats(pattern, paths) for i, path in enumerate(paths): assert pattern.format( **{field: values[i] for field, values in args.items()}) == path @pytest.mark.parametrize('path,metadata,expected', [ ('http://data/band{band:1d}.tif', {'cache': [{'argkey': 'urlpath', 'regex': 'data'}]}, '/band{band:1d}.tif'), ('/data/band{band:1d}.tif', {}, '/data/band{band:1d}.tif'), ('/data/band{band:1d}.tif', None, '/data/band{band:1d}.tif') ]) def test_path_to_pattern(path, metadata, expected): assert path_to_pattern(path, metadata) == expected intake-0.6.5/intake/source/tests/util.py000066400000000000000000000015171416666122400202550ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- def verify_plugin_interface(plugin): assert isinstance(plugin.version, str) assert isinstance(plugin.container, str) assert isinstance(plugin.partition_access, bool) def verify_datasource_interface(source): for attr in ['container', 'description', 'dtype', 'shape', 'npartitions', 'metadata']: assert hasattr(source, attr) for method in ['discover', 'read', 'read_chunked', 'read_partition', 'to_dask', 'close']: assert hasattr(source, method) intake-0.6.5/intake/source/textfiles.py000066400000000000000000000106171416666122400201460ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from . import base, import_name class TextFilesSource(base.DataSource): """Read textfiles as sequence of lines Prototype of sources reading sequential data. Takes a set of files, and returns an iterator over the text in each of them. The files can be local or remote. Extra parameters for encoding, etc., go into ``storage_options``. """ name = 'textfiles' version = '0.0.1' container = 'python' partition_access = True def __init__(self, urlpath, text_mode=True, text_encoding='utf8', compression=None, decoder=None, read=True, metadata=None, storage_options=None): """ Parameters ---------- urlpath : str or list(str) Target files. Can be a glob-path (with "*") and include protocol specified (e.g., "s3://"). Can also be a list of absolute paths. text_mode : bool Whether to open the file in text mode, recoding binary characters on the fly text_encoding : str If text_mode is True, apply this encoding. UTF* is by far the most common compression : str or None If given, decompress the file with the given codec on load. Can be something like "gzip", "bz2", or to try to guess from the filename, 'infer' decoder : function, str or None Use this to decode the contents of files. If None, you will get a list of lines of text/bytes. If a function, it must operate on an open file-like object or a bytes/str instance, and return a list read : bool If decoder is not None, this flag controls whether bytes/str get passed to the function indicated (True) or the open file-like object (False) storage_options: dict Options to pass to the file reader backend, including text-specific encoding arguments, and parameters specific to the remote file-system driver, if using. """ self._urlpath = urlpath self._storage_options = storage_options or {} self._dataframe = None self._files = None if isinstance(decoder, str): decoder = import_name(decoder) self.decoder = decoder self.compression = compression self.mode = 'rt' if text_mode else 'rb' self.encoding = text_encoding self._read = read super(TextFilesSource, self).__init__(metadata=metadata) def _get_schema(self): from fsspec import open_files if self._files is None: urlpath = self._get_cache(self._urlpath)[0] self._files = open_files( urlpath, mode=self.mode, encoding=self.encoding, compression=self.compression, **self._storage_options) self.npartitions = len(self._files) return base.Schema(dtype=None, shape=(None, ), npartitions=self.npartitions, extra_metadata=self.metadata) def _get_partition(self, i): return get_file(self._files[i], self.decoder, self._read) def read(self): self._get_schema() return self.to_dask().compute() def to_spark(self): from intake_spark.base import SparkHolder h = SparkHolder(False, [ ('textFile', (self._urlpath, )) ], {}) return h.setup() def to_dask(self): import dask.bag as db from dask import delayed self._get_schema() dfile = delayed(get_file) return db.from_delayed([dfile(f, self.decoder, self._read) for f in self._files]) def get_file(f, decoder, read): """Serializable function to take an OpenFile object and read lines""" with f as f: if decoder is None: return list(f) else: d = f.read() if read else f out = decoder(d) if isinstance(out, (tuple, list)): return out else: return [out] intake-0.6.5/intake/source/tiled.py000066400000000000000000000105211416666122400172320ustar00rootroot00000000000000from tiled.client import from_uri from tiled.client.node import Node from intake.catalog import Catalog from intake.source import DataSource class TiledCatalog(Catalog): """View Tiled server as a catalog See the documentation for setting up such a server at https://blueskyproject.io/tiled/ A tiled server may contain sources of dataframe, array or xarray type. This driver exposes the full tree as exposed by the server, but you can also specify the sub-path of that tree. """ name = "tiled_cat" def __init__(self, server, path=None): """ Parameters ---------- server: str or tiled.client.node.Node Location of tiles server. Usually of the form "http[s]://address:port/" May include a path. If the protocol is "tiled", we assume HTTP connection. Alternatively, can be a Node instance, already connected to a server. path: str (optional) If given, restrict the catalog to this part of the server's catalog tree. Equivalent to extending the server URL. """ self.path = path if isinstance(server, str): if server.startswith("tiled"): uri = server.replace("tiled", "http", 1) else: uri = server client = from_uri(uri, "dask") else: client = server uri = server.uri self.uri = uri if path is not None: client = client[path] super().__init__(entries=client, name="tiled:" + uri.split(":", 1)[1]) def search(self, query, type="text"): """Full text search Queries other than full text will be added later """ if type == "text": from tiled.queries import FullText q = FullText(query) else: raise NotImplementedError return TiledCatalog.from_dict(self._entries.search(q), uri=self.uri, path=self.path) def __getitem__(self, item): node = self._entries[item] if isinstance(node, Node): return TiledCatalog(node) else: return TiledSource(uri=self.uri, path=item, instance=node) types = { "DaskArrayClient": "ndarray", "DaskDataArrayClient": "xarray", "DaskDatasetClient": "xarray", "DaskVariableClient": "xarray", "DaskDataFrameClient": "dataframe" } class TiledSource(DataSource): """A source on a Tiled server The container type of this source is determined at runtime. The attribute ``.instance`` gives access to the underlying Tiled API, but most users will only call ``.to_dask()``. """ name = "tiled" def __init__(self, uri="", path="", instance=None, metadata=None): """ Parameters ---------- uri: str (optional) Location of the server. If ``instance`` is given, this is only used for the repr pathL str (optional) Path of the data source within the server tree. If ``instance`` is given, this is only used for the repr instance: tiled.client.node.None (optional) The tiled object pointing to the data source; normally created by a ``TiledCatalog`` metadata: dict Extra metadata for this source; metadata will also be provided by the server. """ if instance is None: instance = from_uri(uri, "dask")[path].read() self.instance = instance md = dict(instance.metadata) if metadata: md.update(metadata) super().__init__(metadata=md) self.name = path self.container = types[type(self.instance).__name__] def discover(self): x = self.to_dask() dt = getattr(x, "dtype", None) or getattr(x, "dtypes", None) parts = getattr(x, "npartitions", None) or x.data.npartitions return dict(dtype=dt, shape=getattr(self.instance.structure().macro, "shape", x.shape), npartitions=parts, metadata=self.metadata) def to_dask(self): # cache this? return self.instance.read() def read(self): return self.instance.read().compute() def _yaml(self): y = super()._yaml() v = list(y['sources'].values())[0] v['args'].pop('instance') return y intake-0.6.5/intake/source/utils.py000066400000000000000000000230271416666122400172760ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from distutils.version import LooseVersion try: import dask DASK_VERSION = LooseVersion(dask.__version__) except: DASK_VERSION = None from ..utils import make_path_posix def _validate_format_spec(format_spec): if not format_spec: raise ValueError(('Format specifier must be set if ' 'no separator between fields.')) if format_spec[-1].isalpha(): format_spec = format_spec[:-1] if not format_spec.isdigit(): raise ValueError('Format specifier must have a set width') return int(format_spec) def _get_parts_of_format_string(resolved_string, literal_texts, format_specs): """ Inner function of reverse_format, returns the resolved value for each field in pattern. """ _text = resolved_string bits = [] if literal_texts[-1] != '' and _text.endswith(literal_texts[-1]): _text = _text[:-len(literal_texts[-1])] literal_texts = literal_texts[:-1] format_specs = format_specs[:-1] for i, literal_text in enumerate(literal_texts): if literal_text != '': if literal_text not in _text: raise ValueError(("Resolved string must match pattern. " "'{}' not found.".format(literal_text))) bit, _text = _text.split(literal_text, 1) if bit: bits.append(bit) elif i == 0: continue else: try: format_spec = _validate_format_spec(format_specs[i-1]) bits.append(_text[0:format_spec]) _text = _text[format_spec:] except: if i == len(format_specs) - 1: format_spec = _validate_format_spec(format_specs[i]) bits.append(_text[:-format_spec]) bits.append(_text[-format_spec:]) _text = [] else: _validate_format_spec(format_specs[i-1]) if _text: bits.append(_text) if len(bits) > len([fs for fs in format_specs if fs is not None]): bits = bits[1:] return bits def reverse_formats(format_string, resolved_strings): """ Reverse the string method format for a list of strings. Given format_string and resolved_strings, for each resolved string find arguments that would give ``format_string.format(**arguments) == resolved_string``. Each item in the output corresponds to a new column with the key setting the name and the values representing a mapping from list of resolved_strings to the related value. Parameters ---------- format_strings : str Format template string as used with str.format method resolved_strings : list List of strings with same pattern as format_string but with fields filled out. Returns ------- args : dict Dict of the form ``{field: [value_0, ..., value_n], ...}`` where values are in the same order as resolved_strings, so: ``format_sting.format(**{f: v[0] for f, v in args.items()}) == resolved_strings[0]`` Examples -------- >>> paths = ['data_2014_01_03.csv', 'data_2014_02_03.csv', 'data_2015_12_03.csv'] >>> reverse_formats('data_{year}_{month}_{day}.csv', paths) {'year': ['2014', '2014', '2015'], 'month': ['01', '02', '12'], 'day': ['03', '03', '03']} >>> reverse_formats('data_{year:d}_{month:d}_{day:d}.csv', paths) {'year': [2014, 2014, 2015], 'month': [1, 2, 12], 'day': [3, 3, 3]} >>> reverse_formats('data_{date:%Y_%m_%d}.csv', paths) {'date': [datetime.datetime(2014, 1, 3, 0, 0), datetime.datetime(2014, 2, 3, 0, 0), datetime.datetime(2015, 12, 3, 0, 0)]} >>> reverse_formats('{state:2}{zip:5}', ['PA19104', 'PA19143', 'MA02534']) {'state': ['PA', 'PA', 'MA'], 'zip': ['19104', '19143', '02534']} See also -------- str.format : method that this reverses reverse_format : method for reversing just one string using a pattern """ from string import Formatter fmt = Formatter() # get the fields from the format_string field_names = [i[1] for i in fmt.parse(format_string) if i[1]] # itialize the args dict with an empty dict for each field args = {field_name: [] for field_name in field_names} for resolved_string in resolved_strings: for field, value in reverse_format(format_string, resolved_string).items(): args[field].append(value) return args def reverse_format(format_string, resolved_string): """ Reverse the string method format. Given format_string and resolved_string, find arguments that would give ``format_string.format(**arguments) == resolved_string`` Parameters ---------- format_string : str Format template string as used with str.format method resolved_string : str String with same pattern as format_string but with fields filled out. Returns ------- args : dict Dict of the form {field_name: value} such that ``format_string.(**args) == resolved_string`` Examples -------- >>> reverse_format('data_{year}_{month}_{day}.csv', 'data_2014_01_03.csv') {'year': '2014', 'month': '01', 'day': '03'} >>> reverse_format('data_{year:d}_{month:d}_{day:d}.csv', 'data_2014_01_03.csv') {'year': 2014, 'month': 1, 'day': 3} >>> reverse_format('data_{date:%Y_%m_%d}.csv', 'data_2016_10_01.csv') {'date': datetime.datetime(2016, 10, 1, 0, 0)} >>> reverse_format('{state:2}{zip:5}', 'PA19104') {'state': 'PA', 'zip': '19104'} See also -------- str.format : method that this reverses reverse_formats : method for reversing a list of strings using one pattern """ from string import Formatter from datetime import datetime fmt = Formatter() args = {} # ensure that format_string is in posix format format_string = make_path_posix(format_string) # split the string into bits literal_texts, field_names, format_specs, conversions = zip(*fmt.parse(format_string)) if not any(field_names): return {} for i, conversion in enumerate(conversions): if conversion: raise ValueError(('Conversion not allowed. Found on {}.' .format(field_names[i]))) # ensure that resolved string is in posix format resolved_string = make_path_posix(resolved_string) # get a list of the parts that matter bits = _get_parts_of_format_string(resolved_string, literal_texts, format_specs) for i, (field_name, format_spec) in enumerate(zip(field_names, format_specs)): if field_name: try: if format_spec.startswith('%'): args[field_name] = datetime.strptime(bits[i], format_spec) elif format_spec[-1] in list('bcdoxX'): args[field_name] = int(bits[i]) elif format_spec[-1] in list('eEfFgGn'): args[field_name] = float(bits[i]) elif format_spec[-1] == '%': args[field_name] = float(bits[i][:-1])/100 else: args[field_name] = fmt.format_field(bits[i], format_spec) except: args[field_name] = bits[i] return args def path_to_glob(path): """ Convert pattern style paths to glob style paths Returns path if path is not str Parameters ---------- path : str Path to data optionally containing format_strings Returns ------- glob : str Path with any format strings replaced with * Examples -------- >>> path_to_glob('{year}/{month}/{day}.csv') '*/*/*.csv' >>> path_to_glob('data/{year:4}{month:02}{day:02}.csv') 'data/*.csv' >>> path_to_glob('data/*.csv') 'data/*.csv' """ from string import Formatter fmt = Formatter() if not isinstance(path, str): return path # calculate glob expression glob = '' prev_field_name = None for literal_text, field_name, _, _ in fmt.parse(path): glob += literal_text # condition to avoid repeated * on adjacent fields if field_name and (literal_text or prev_field_name is None): glob += '*' prev_field_name = field_name return glob def path_to_pattern(path, metadata=None): """ Remove source information from path when using chaching Returns None if path is not str Parameters ---------- path : str Path to data optionally containing format_strings metadata : dict, optional Extra arguments to the class, contains any cache information Returns ------- pattern : str Pattern style path stripped of everything to the left of cache regex. """ from fsspec.core import strip_protocol if not isinstance(path, str): return pattern = strip_protocol(path) if metadata: cache = metadata.get('cache') if cache: regex = next(c.get('regex') for c in cache if c.get('argkey') == 'urlpath') pattern = pattern.split(regex)[-1] return pattern def unique_string(): from string import ascii_letters, digits from random import choice return ''.join([choice(ascii_letters + digits) for n in range(8)]) intake-0.6.5/intake/source/zarr.py000066400000000000000000000055441416666122400171200ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from .base import DataSource, Schema class ZarrArraySource(DataSource): """Read Zarr format files into an array Zarr is an numerical array storage format which works particularly well with remote and parallel access. For specifics of the format, see https://zarr.readthedocs.io/en/stable/ """ container = 'ndarray' name = 'ndzarr' version = '0.0.1' partition_access = True def __init__(self, urlpath, storage_options=None, component=None, metadata=None, **kwargs): """ The parameters dtype and shape will be determined from the first file, if not given. Parameters ---------- urlpath : str Location of data file(s), possibly including protocol information storage_options : dict Passed on to storage backend for remote files component : str or None If None, assume the URL points to an array. If given, assume the URL points to a group, and descend the group to find the array at this location in the hierarchy. kwargs : passed on to dask.array.from_zarr """ self.urlpath = urlpath self.storage_options = storage_options or {} self.component = component self.kwargs = kwargs self.chunks = None self._arr = None super(ZarrArraySource, self).__init__(metadata=metadata) def _get_schema(self): import dask.array as da if self._arr is None: self._arr = da.from_zarr(self.urlpath, component=self.component, storage_options=self.storage_options, **self.kwargs) self.chunks = self._arr.chunks self.shape = self._arr.shape self.dtype = self._arr.dtype self.npartitions = self._arr.npartitions return Schema(dtype=str(self.dtype), shape=self.shape, extra_metadata=self.metadata, npartitions=self.npartitions, chunks=self.chunks) def _get_partition(self, i): if isinstance(i, list): i = tuple(i) return self._arr.blocks[i].compute() def read_partition(self, i): self._get_schema() return self._get_partition(i) def to_dask(self): self._get_schema() return self._arr def read(self): self._get_schema() return self._arr.compute() def _close(self): self._arr = None self._mapper = None intake-0.6.5/intake/tests/000077500000000000000000000000001416666122400154225ustar00rootroot00000000000000intake-0.6.5/intake/tests/__init__.py000066400000000000000000000005061416666122400175340ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- intake-0.6.5/intake/tests/catalog1.yml000066400000000000000000000003311416666122400176350ustar00rootroot00000000000000sources: ex1: description: this source doesn't work driver: csv args: {} ex2: description: this source doesn't work metadata: foo: 'bar' bar: [1, 2, 3] driver: csv args: {} intake-0.6.5/intake/tests/catalog2.yml000066400000000000000000000003311416666122400176360ustar00rootroot00000000000000sources: ex3: description: this source doesn't work driver: csv args: {} ex4: description: this source doesn't work metadata: foo: 'bar' bar: [1, 2, 3] driver: csv args: {} intake-0.6.5/intake/tests/catalog_inherit_params.yml000066400000000000000000000017011416666122400226430ustar00rootroot00000000000000--- metadata: version: 1 parameters: bucket: type: str description: description default: test_bucket sources: param: driver: parquet description: description args: urlpath: s3://{{bucket}}/file.parquet local_param_overwrites: driver: parquet description: description parameters: bucket: type: str description: description default: local_param args: urlpath: s3://{{bucket}}/file.parquet local_and_global_params: driver: parquet description: description parameters: filename: type: str description: description default: local_filename.parquet args: urlpath: s3://{{bucket}}/{{filename}} subcat: driver: yaml_file_cat args: path: "{{CATALOG_DIR}}/catalog_nested_sub.yml" user_parameters: inner: type: str description: description default: test_name intake-0.6.5/intake/tests/catalog_nested.yml000066400000000000000000000002541416666122400211220ustar00rootroot00000000000000sources: nested: description: References catalog_nested_sub.yml driver: yaml_file_cat args: path: "{{ CATALOG_DIR }}__unit_test_catalog_nested_sub.yml" intake-0.6.5/intake/tests/catalog_nested_sub.yml000066400000000000000000000003231416666122400217700ustar00rootroot00000000000000sources: ex1: description: this is a sub-resource driver: csv args: urlpath: "" ex2: description: this is a sub-resource driver: csv args: urlpath: "{{bucket}}/{{inner}}" intake-0.6.5/intake/tests/test_config.py000066400000000000000000000101051416666122400202750ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import pytest import requests import intake from intake import config from intake.util_tests import temp_conf, server from intake.catalog.remote import RemoteCatalog @pytest.mark.parametrize('conf', [ {}, {'port': 5000}, {'other': True} ]) def test_load_conf(conf): # This test will only work if your config is set to default inconf = config.defaults.copy() expected = inconf.copy() with temp_conf(conf) as fn: config.load_conf(fn) expected.update(conf) assert config.conf == expected config.reset_conf() assert config.conf == inconf # Tests with a real separate server process def test_basic(): with temp_conf({}) as fn: env = os.environ.copy() env['INTAKE_CONF_FILE'] = fn with server(env=env, wait=5000): r = requests.get('http://localhost:5000/v1/info') assert r.ok with temp_conf({}) as fn: env = os.environ.copy() env['INTAKE_CONF'] = os.path.dirname(fn) with server(env=env, wait=5000): r = requests.get('http://localhost:5000/v1/info') assert r.ok with temp_conf({}) as fn: env = os.environ.copy() env['INTAKE_CONF'] = os.path.dirname(fn) + ":/nonexistent" with server(env=env, wait=5000): r = requests.get('http://localhost:5000/v1/info') assert r.ok def test_cli(): with temp_conf({}) as fn: env = os.environ.copy() env['INTAKE_CONF_FILE'] = fn with server(args=('-p', '5555'), env=env, wait=5555): r = requests.get('http://localhost:5555/v1/info') assert r.ok def test_persist_modes(): expected_never = "never" expected_default = "default" with temp_conf({}) as fn: env = os.environ.copy() env["INTAKE_CONF_FILE"] = fn with server(args=("-p", "5555"), env=env, wait=5555): cat_never = RemoteCatalog("intake://localhost:5555", persist_mode="never") assert cat_never.pmode == expected_never cat_default = RemoteCatalog("intake://localhost:5555") assert cat_default.pmode == expected_default def test_conf(): with temp_conf({'port': 5555}) as fn: env = os.environ.copy() env['INTAKE_CONF_FILE'] = fn with server(env=env, wait=5555): r = requests.get('http://localhost:5555/v1/info') assert r.ok def test_conf_auth(): with temp_conf({'port': 5556, 'auth': {'cls': 'intake.auth.secret.SecretAuth', 'kwargs': {'secret': 'test'}}}) as fn: env = os.environ.copy() env['INTAKE_CONF_FILE'] = fn with server(env=env, wait=5556): # raw request r = requests.get('http://localhost:5556/v1/info') assert r.status_code == 403 r = requests.get('http://localhost:5556/v1/info', headers={'intake-secret': 'test'}) assert r.ok # with cat with pytest.raises(Exception): intake.open_catalog('intake://localhost:5556') cat = intake.open_catalog('intake://localhost:5556', storage_options={'headers': {'intake-secret': 'test'}}) assert 'entry1' in cat @pytest.mark.skipif(os.name == 'nt', reason="Paths are different on win") def test_pathdirs(): assert config.intake_path_dirs([]) == [] assert config.intake_path_dirs(['paths']) == ['paths'] assert config.intake_path_dirs("") == [""] assert config.intake_path_dirs("path1:path2") == ['path1', 'path2'] assert config.intake_path_dirs("memory://path1:memory://path2") == [ 'memory://path1', 'memory://path2'] intake-0.6.5/intake/tests/test_top_level.py000066400000000000000000000105161416666122400210270ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import posixpath import sys import tempfile import time import appdirs import intake import intake.catalog.local import pytest from .test_utils import copy_test_file @pytest.fixture def user_catalog(): target_catalog = copy_test_file('catalog1.yml', appdirs.user_data_dir(appname='intake', appauthor='intake')) yield target_catalog # Remove the file, but not the directory (because there might be other # files already there) os.remove(target_catalog) @pytest.fixture def tmp_path_catalog(): tmp_path = posixpath.join(tempfile.gettempdir(), 'intake') try: os.makedirs(tmp_path) except: pass target_catalog = copy_test_file('catalog1.yml', tmp_path) yield target_catalog # Remove the file, but not the directory (because there might be other # files already there) os.remove(target_catalog) def test_autoregister_open(): assert hasattr(intake, 'open_csv') def test_default_catalogs(): # No assumptions about contents of these catalogs. # Just make sure they exist and don't raise exceptions list(intake.cat) def test_user_catalog(user_catalog): cat = intake.load_combo_catalog() assert set(cat) >= set(['ex1', 'ex2']) def test_open_styles(tmp_path_catalog): cat = intake.catalog.local.YAMLFileCatalog(tmp_path_catalog) cat2 = intake.open_catalog(tmp_path_catalog) assert list(cat) == list(cat2) cat2 = intake.open_catalog([tmp_path_catalog]) assert list(cat) == list(cat2) cat2 = intake.open_catalog(os.path.join( os.path.dirname(tmp_path_catalog), "*")) assert list(cat) == list(cat2) assert type(cat2).name == 'yaml_files_cat' cat2 = intake.open_catalog(os.path.dirname(tmp_path_catalog)) assert list(cat) == list(cat2) assert type(cat2).name == 'yaml_files_cat' cat2 = intake.open_yaml_file_cat(tmp_path_catalog) assert list(cat) == list(cat2) cat2 = intake.open_yaml_files_cat([tmp_path_catalog]) assert list(cat) == list(cat2) cat2 = intake.open_yaml_files_cat(os.path.join( os.path.dirname(tmp_path_catalog), "*")) assert list(cat) == list(cat2) def test_path_catalog(tmp_path_catalog): intake.config.conf['catalog_path'] = [posixpath.join(tempfile.gettempdir(), 'intake')] cat = intake.load_combo_catalog() time.sleep(2) # wait 2 seconds for catalog to refresh assert set(cat) >= set(['ex1', 'ex2']) del intake.config.conf['catalog_path'] def test_bad_open(): with pytest.raises(ValueError): # unknown driver intake.open_catalog("", driver='unknown') with pytest.raises(ValueError): # bad URI type (NB falsish values become empty catalogs) intake.open_catalog(True) # default empty catalog assert intake.open_catalog() == intake.open_catalog(None) def test_output_notebook(): pytest.importorskip('hvplot') intake.output_notebook() def test_old_usage(): assert isinstance(intake.Catalog(), intake.Catalog) assert intake.Catalog is intake.catalog.base.Catalog def test_no_imports(): mods = [mod for mod in sys.modules if mod.startswith('intake')] [sys.modules.pop(mod) for mod in mods] import intake assert 'intake' in sys.modules for mod in ['intake.tests', 'intake.interface', 'intake.source.csv', 'intake.cli', 'intake.auth']: assert mod not in sys.modules @pytest.fixture def tmp_path_catalog_nested(): with tempfile.TemporaryDirectory() as tmp_dir: tmp_path = posixpath.join(tmp_dir, 'intake') target_catalog = copy_test_file('catalog_nested.yml', tmp_path) copy_test_file('catalog_nested_sub.yml', tmp_path) yield target_catalog def test_nested_catalog_access(tmp_path_catalog_nested): cat = intake.open_catalog(tmp_path_catalog_nested) entry1 = cat.nested.ex1 entry2 = cat["nested.ex1"] entry3 = cat[["nested", "ex1"]] entry4 = cat["nested", "ex1"] assert entry1 == entry2 == entry3 == entry4 intake-0.6.5/intake/tests/test_utils.py000066400000000000000000000035071416666122400202000ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import os import posixpath import shutil import pytest import yaml from intake.utils import make_path_posix, no_duplicate_yaml def test_windows_file_path(): path = 'C:\\Users\\user\\fake.file' actual = make_path_posix(path) expected = 'C:/Users/user/fake.file' assert actual == expected def test_make_path_posix_removes_double_sep(): path = 'user//fake.file' actual = make_path_posix(path) expected = 'user/fake.file' assert actual == expected @pytest.mark.parametrize('path', [ '~/fake.file', 'https://example.com', ]) def test_noops(path): """For non windows style paths, make_path_posix should be a noop""" assert make_path_posix(path) == path def test_roundtrip_file_path(): path = os.path.dirname(__file__) actual = make_path_posix(path) assert '\\' not in actual assert os.path.samefile(actual, path) def test_yaml_tuples(): data = (1, 2) text = yaml.dump(data) with no_duplicate_yaml(): assert yaml.safe_load(text) == data def copy_test_file(filename, target_dir): if not os.path.exists(target_dir): os.makedirs(target_dir) # can't use exist_ok in Python 2.7 target_dir = make_path_posix(target_dir) # Put a catalog file in the user catalog directory test_dir = make_path_posix(os.path.dirname(__file__)) test_catalog = posixpath.join(test_dir, filename) target_catalog = posixpath.join(target_dir, '__unit_test_'+filename) shutil.copyfile(test_catalog, target_catalog) return target_catalog intake-0.6.5/intake/util_tests.py000066400000000000000000000033621416666122400170350ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from contextlib import contextmanager import os import posixpath import requests import shutil import subprocess import sys import tempfile import time import yaml from .utils import make_path_posix ex = sys.executable here = os.path.dirname(__file__) defcat = make_path_posix(os.path.join( here, 'cli', 'server', 'tests', 'catalog1.yml')) PY2 = sys.version_info[0] == 2 @contextmanager def tempdir(): d = tempfile.mkdtemp() try: yield d finally: if os.path.exists(d): shutil.rmtree(d) @contextmanager def temp_conf(conf): with tempdir() as d: fn = os.path.join(d, 'conf.yaml') with open(fn, 'w') as f: yaml.dump(conf, f) yield fn @contextmanager def server(args=None, cat=None, env=None, wait=None, timeout=25): cat = cat if cat is not None else defcat args = list(args if args is not None else []) + [] env = env if env is not None else {} cmd = [ex, '-m', 'intake.cli.server'] + list(args) + [cat] p = subprocess.Popen(cmd, env=env, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) if wait is not None: while True: try: requests.get('http://localhost:%i/v1/info' % wait) break except: time.sleep(0.1) timeout -= 0.1 assert timeout > 0 try: yield p finally: p.terminate() intake-0.6.5/intake/utils.py000066400000000000000000000216571416666122400160050ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import collections from collections import OrderedDict import collections.abc import datetime from contextlib import contextmanager import warnings import yaml import sys def make_path_posix(path): """ Make path generic """ if '://' in path: return path return path.replace('\\', '/').replace('//', '/') def no_duplicates_constructor(loader, node, deep=False): """Check for duplicate keys while loading YAML https://gist.github.com/pypt/94d747fe5180851196eb """ mapping = {} for key_node, value_node in node.value: key = loader.construct_object(key_node, deep=deep) value = loader.construct_object(value_node, deep=deep) if key in mapping: from intake.catalog.exceptions import DuplicateKeyError raise DuplicateKeyError("while constructing a mapping", node.start_mark, "found duplicate key (%s)" % key, key_node.start_mark) mapping[key] = value return loader.construct_mapping(node, deep) def tuple_constructor(loader, node, deep=False): return tuple(loader.construct_object(node, deep=deep) for node in node.value) def represent_dictionary_order(self, dict_data): return self.represent_mapping('tag:yaml.org,2002:map', dict_data.items()) yaml.add_representer(OrderedDict, represent_dictionary_order) @contextmanager def no_duplicate_yaml(): yaml.SafeLoader.add_constructor( yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, no_duplicates_constructor) yaml.SafeLoader.add_constructor('tag:yaml.org,2002:python/tuple', tuple_constructor) try: yield finally: yaml.SafeLoader.add_constructor( yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, yaml.constructor.SafeConstructor.construct_yaml_map ) def yaml_load(stream): """Parse YAML in a context where duplicate keys raise exception""" with no_duplicate_yaml(): return yaml.safe_load(stream) def classname(ob): """Get the object's class's name as package.module.Class""" import inspect if inspect.isclass(ob): return '.'.join([ob.__module__, ob.__name__]) else: return '.'.join([ob.__class__.__module__, ob.__class__.__name__]) class DictSerialiseMixin(object): __tok_cache = None def __new__(cls, *args, **kwargs): """Capture creation args when instantiating""" o = object.__new__(cls) o._captured_init_args = args o._captured_init_kwargs = kwargs return o @property def classname(self): return classname(self) def __dask_tokenize__(self): if self.__tok_cache is None: from dask.base import tokenize self.__tok_cache = tokenize(self.__getstate__()) return self.__tok_cache def __getstate__(self): args = [arg.__getstate__() if isinstance(arg, DictSerialiseMixin) else arg for arg in self._captured_init_args] # We employ OrderedDict in several places. The motivation # is to speed up dask tokenization. When dask tokenizes a plain dict, # it sorts the keys, and it turns out that this sort operation # dominates the call time, even for very small dicts. Using an # OrderedDict steers dask toward a different and faster tokenization. kwargs = collections.OrderedDict({ k: arg.__getstate__() if isinstance(arg, DictSerialiseMixin) else arg for k, arg in self._captured_init_kwargs.items() }) return collections.OrderedDict(cls=self.classname, args=args, kwargs=kwargs) def __setstate__(self, state): # reconstitute instances here self._captured_init_kwargs = state['kwargs'] self._captured_init_args = state['args'] state.pop('cls', None) self.__init__(*state['args'], **state['kwargs']) def __hash__(self): from dask.base import tokenize return int(tokenize(self), 16) def __eq__(self, other): return hash(self) == hash(other) def remake_instance(data): import importlib if isinstance(data, str): data = {'cls': data} else: data = data.copy() mod, klass = data.pop('cls').rsplit('.', 1) module = importlib.import_module(mod) cl = getattr(module, klass) return cl(*data.get('args', ()), **data.get('kwargs', {})) def pretty_describe(object, nestedness=0, indent=2): """Maintain dict ordering - but make string version prettier""" if not isinstance(object, dict): return str(object) sep = f'\n{" " * nestedness * indent}' out = sep.join((f'{k}: {pretty_describe(v, nestedness + 1)}' for k, v in object.items())) if nestedness > 0 and out: return f'{sep}{out}' return out def decode_datetime(obj): import numpy if not isinstance(obj, numpy.ndarray) and "__datetime__" in obj: try: obj = datetime.datetime.strptime( obj["as_str"], "%Y%m%dT%H:%M:%S.%f%z", ) except ValueError: # Perhaps lacking tz info obj = datetime.datetime.strptime( obj["as_str"], "%Y%m%dT%H:%M:%S.%f", ) return obj def encode_datetime(obj): if isinstance(obj, datetime.datetime): return {"__datetime__": True, "as_str": obj.strftime("%Y%m%dT%H:%M:%S.%f%z")} return obj class RegistryView(collections.abc.Mapping): """ Wrap registry dict in a read-only dict view. Subclasses define attributes filled into warning and error messages: - self._registry_name - self._register_func_name - self._unregister_func_name """ def __init__(self, registry): self._registry = registry def __repr__(self): return f"{self.__class__.__name__}({self._registry!r})" def __getitem__(self, key): return self._registry[key] def __iter__(self): yield from self._registry def __len__(self): return len(self._registry) # Support the common mutation methods for now, but warn. def update(self, *args, **kwargs): warnings.warn( f"In a future release of intake, the {self._registry_name} will " f"not be directly mutable. Use {self._register_func_name}.", DeprecationWarning) self._registry.update(*args, **kwargs) # raise TypeError( # f"The registry cannot be edited directly. " # f"Instead, use the {self._register_func_name{") def __setitem__(self, key, value): warnings.warn( f"In a future release of intake, the {self._registry_name} will " f"not be directly mutable. Use {self._register_func_name}.", DeprecationWarning) self._registry[key] = value # raise TypeError( # f"The registry cannot be edited directly. " # f"Instead, use the {self._register_func_name{") def __delitem__(self, key): warnings.warn( f"In a future release of intake, the {self._registry_name} will " f"not be directly mutable. Use {self._unregister_func_name}.", DeprecationWarning) del self._registry[key] # raise TypeError( # f"The registry cannot be edited directly. " # f"Instead, use the {self._unregister_func_name{") class DriverRegistryView(RegistryView): # This attributes are used by the base class # to fill in warning and error messages. _registry_name = "intake.registry" _register_func_name = "intake.register_driver" _unregister_func_name = "intake.unregister_driver" class ContainerRegistryView(RegistryView): # This attributes are used by the base class # to fill in warning and error messages. _registry_name = "intake.container_map" _register_func_name = "intake.register_container" _unregister_func_name = "intake.unregister_container" class ModuleImporter: def __init__(self, destination): self.destination = destination self.module = None def __getattribute__(self, item): d = object.__getattribute__(self, "__dict__") if item in d: return d[item] if self.module is None: print("Importing module: ", self.destination) self.module = __import__(self.destination) else: print("Referencing module: ", self.destination) sys.modules[self.destination] = self.module return getattr(self.module, item) intake-0.6.5/logo-small.png000066400000000000000000000030241416666122400155600ustar00rootroot00000000000000PNG  IHDR.#'8gAMA a cHRMz&u0`:pQ< pHYs  YiTXtXML:com.adobe.xmp 1 L'Y%IDATX NjTA׬0 QTLxЋx*?ճI^P1縦..*Ŝ~[3ogF7,W^OOCC}2(-[!K-H~9gu#Y5kSXņ~+m?1zqlBx ?S8WQnt\b8se'5|9N{jn:`@~ oZ]!X*4 OSX*8$Q*l nLԒk*!J>/%9gV?Y_Ax&TfT^ɡYW+^ tY% kᢰ["xb{$I 'Cq-5fMyf^(@I.O6l$|O>ȍ4IY% UպIӂwp2B}gV&H1f갟k4i^tM:'}[&X8NUS6~~>=X@+*~:,?Ka!o-#B܇. Y]'K*,?*7iN)^(I$c GXu׋bI8x !="f.GDž3Ò^K›bׅIҗH. v&h+B$M _C^ y>W$טo~;s 9.kM !o D>ޣ_IL"y2䕝$7Ҽ3}Sq{(oˆrp^>$CLϬn91H|Iˬ^j# @~Nq^l#]3}Y6G!>FR;8?:HFPkr*7s=Jގsu9 C\m87BSތmncį$/1)Q^ʍ}?Mr>_/5IENDB`intake-0.6.5/readthedocs.yml000066400000000000000000000000461416666122400160150ustar00rootroot00000000000000conda: file: docs/environment.yml intake-0.6.5/requirements.txt000066400000000000000000000000711416666122400162670ustar00rootroot00000000000000appdirs dask entrypoints pyyaml fsspec >=2021.7.0 jinja2 intake-0.6.5/scripts/000077500000000000000000000000001416666122400144745ustar00rootroot00000000000000intake-0.6.5/scripts/ci/000077500000000000000000000000001416666122400150675ustar00rootroot00000000000000intake-0.6.5/scripts/ci/environment-pip.yml000066400000000000000000000011551416666122400207460ustar00rootroot00000000000000name: test_env channels: - defaults dependencies: - python=3.8 - pip - pip: - rangehttpserver - aiohttp - flask - appdirs - dask - jinja2 - numpy - pyyaml - requests - msgpack-numpy - pytest-cov - coveralls - pytest - fsspec - intake-parquet - zarr - notebook - panel - hvplot - bokeh - dask - h5netcdf - intake - netcdf4 - pip - pydap - pytest - rasterio - s3fs - scikit-image - xarray - zarr - moto - toolz intake-0.6.5/scripts/ci/environment-py37.yml000066400000000000000000000005231416666122400207560ustar00rootroot00000000000000name: test_env channels: - conda-forge - defaults dependencies: - python=3.7 - aiohttp - flask - appdirs - dask - jinja2 - numpy - pyyaml - requests - msgpack-numpy - pytest - fsspec - intake-parquet - zarr - notebook - panel - hvplot - bokeh - dask - pip - pydap - pytest - s3fs - moto intake-0.6.5/scripts/ci/environment-py38.yml000066400000000000000000000007501416666122400207610ustar00rootroot00000000000000name: test_env channels: - conda-forge - defaults dependencies: - python=3.8 - aiohttp - flask - appdirs - dask - jinja2 - numpy - pyyaml - requests - msgpack-numpy - pytest-cov - coveralls - pytest - fsspec - intake-parquet - zarr - notebook - panel - hvplot - bokeh - dask - h5netcdf - intake - netcdf4 - pip - pydap - pytest - rasterio - s3fs - scikit-image - xarray - zarr - moto - pip: - rangehttpserver intake-0.6.5/scripts/ci/environment-py39.yml000066400000000000000000000010201416666122400207510ustar00rootroot00000000000000name: test_env channels: - conda-forge - defaults dependencies: - python=3.9 - aiohttp - flask - appdirs - dask - jinja2 - numpy - pyyaml - requests - msgpack-numpy - pytest-cov - coveralls - pytest - fsspec - intake-parquet - zarr - notebook - panel - hvplot - bokeh - dask - h5netcdf - intake - netcdf4 - pip - pydap - pytest - rasterio - s3fs - scikit-image - xarray - zarr - moto - httpx - typer - pip: - rangehttpserver - tiled[all] intake-0.6.5/setup.cfg000066400000000000000000000012021416666122400146210ustar00rootroot00000000000000[flake8] # References: # http://flake8.readthedocs.org/en/latest/config.html # http://flake8.readthedocs.org/en/latest/warnings.html#error-codes # # Style checks turned on: # F - all pyflake errors # E101 - indentation contains mixed spaces and tabs # E111 - indentation is not a multiple of four # E501 - line too long (see max-line-length) # Note: there cannot be spaces after comma's here exclude = __init__.py ignore = E,W select = F,E101,E111,E501 max-line-length = 165 [versioneer] VCS = git style = pep440 versionfile_source = intake/_version.py versionfile_build = intake/_version.py tag_prefix = parentdir_prefix = intake- intake-0.6.5/setup.py000066400000000000000000000057221416666122400145250ustar00rootroot00000000000000#!/usr/bin/env python #----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- import sys from setuptools import find_packages, setup import versioneer requires = [line.strip() for line in open('requirements.txt').readlines() if not line.startswith("#")] extras_require = { 'server': ['tornado', 'python-snappy', 'msgpack-python'], 'plot': ['hvplot', 'panel >= 0.7.0', 'bokeh'], 'dataframe': ['dask[dataframe]', 'msgpack-numpy', 'pyarrow'], 'remote': ['requests'] } extras_require['complete'] = sorted(set(sum(extras_require.values(), []))) # Only include pytest-runner in setup_requires if we're invoking tests if {'pytest', 'test', 'ptr'}.intersection(sys.argv): setup_requires = ['pytest-runner'] else: setup_requires = [] setup( name='intake', version=versioneer.get_version(), cmdclass=versioneer.get_cmdclass(), description='Data load and catalog system', url='https://github.com/intake/intake', maintainer='Martin Durant', maintainer_email='mdurant@anaconda.com', license='BSD', package_data={'': ['*.csv', '*.yml', '*.yaml', '*.html']}, include_package_data=True, install_requires=requires, packages=find_packages(), entry_points={ 'console_scripts': [ 'intake-server = intake.cli.server.__main__:main', 'intake = intake.cli.client.__main__:main' ], 'intake.drivers': [ 'yaml_file_cat = intake.catalog.local:YAMLFileCatalog', 'yaml_files_cat = intake.catalog.local:YAMLFilesCatalog', 'csv = intake.source.csv:CSVSource', 'textfiles = intake.source.textfiles:TextFilesSource', 'json = intake.source.jsonfiles:JSONFileSource', 'jsonl = intake.source.jsonfiles:JSONLinesFileSource', 'catalog = intake.catalog.base:Catalog', 'intake_remote = intake.catalog.remote:RemoteCatalog', 'numpy = intake.source.npy:NPySource', 'ndzarr = intake.source.zarr:ZarrArraySource', 'zarr_cat = intake.catalog.zarr:ZarrGroupCatalog', 'alias = intake.source.derived:AliasSource', 'tiled_cat = intake.source.tiled:TiledCatalog', 'tiled = intake.source.tiled:TiledSource' ] }, classifiers=[ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", ], python_requires=">=3.7", long_description=open('README.md').read(), long_description_content_type="text/markdown", tests_require=['pytest'], extras_require=extras_require, zip_safe=False, ) intake-0.6.5/templates/000077500000000000000000000000001416666122400150035ustar00rootroot00000000000000intake-0.6.5/templates/README.md000066400000000000000000000010211416666122400162540ustar00rootroot00000000000000# Cookiecutter Templates This directory contains [Cookiecutter](https://cookiecutter.readthedocs.io/en/latest/) templates for making new Intake plugins and data packages. To use these templates, install cookiecutter: ``` conda install -c defaults -c conda-forge cookiecutter ``` or ``` pip install cookiecutter ``` For a new plugin: ``` cookiecutter gh:intake/intake/templates/plugin ``` And for a new conda data package: ``` cookiecutter gh:intake/intake/templates/data_package ``` The template will prompt for parameters. intake-0.6.5/templates/data_package/000077500000000000000000000000001416666122400173675ustar00rootroot00000000000000intake-0.6.5/templates/data_package/cookiecutter.json000066400000000000000000000004351416666122400227640ustar00rootroot00000000000000{ "dataset_name": "starfacts", "package_name": "data-{{cookiecutter.dataset_name}}", "description": "Star Facts", "full_name": "Your Name", "email": "you@example.com", "required_intake_plugins": "intake_parquet", "install_local_data_files": ["no", "yes"] } intake-0.6.5/templates/data_package/hooks/000077500000000000000000000000001416666122400205125ustar00rootroot00000000000000intake-0.6.5/templates/data_package/hooks/post_gen_project.py000066400000000000000000000013521416666122400244310ustar00rootroot00000000000000#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors # All rights reserved. # # The full license is in the LICENSE file, distributed with this software. #----------------------------------------------------------------------------- from __future__ import print_function import os install_local_data_files = "{{cookiecutter.install_local_data_files}}" == "yes" print("Don't forget to edit {{cookiecutter.package_name}}/{{cookiecutter.dataset_name}}.yaml to add your data sources!") if install_local_data_files: os.mkdir('src') print("Put your data files in the {{cookiecutter.package_name}}/src/ directory to be included in the package.") intake-0.6.5/templates/data_package/{{cookiecutter.package_name}}/000077500000000000000000000000001416666122400254415ustar00rootroot00000000000000intake-0.6.5/templates/data_package/{{cookiecutter.package_name}}/build.sh000066400000000000000000000005151416666122400270750ustar00rootroot00000000000000#!/bin/bash INTAKE_CATALOG_DIR=$PREFIX/share/intake/ mkdir -p INTAKE_CATALOG_DIR {% if cookiecutter.install_local_data_files == 'yes' %} DATA_DIR=$INTAKE_CATALOG_DIR/{{cookiecutter.dataset_name}} mkdir -p $DATA_DIR cp -a $RECIPE_DIR/src/ $DATA_DIR/ {% endif %} cp $RECIPE_DIR/{{cookiecutter.dataset_name}}.yaml $INTAKE_CATALOG_DIR intake-0.6.5/templates/data_package/{{cookiecutter.package_name}}/meta.yaml000066400000000000000000000010101416666122400272430ustar00rootroot00000000000000package: version: '1.0' # update version number if data contents change name: {{cookiecutter.package_name}} build: number: 0 # update build number for minor catalog fixes noarch: generic requirements: run: - intake {%- for plugin_name in cookiecutter.required_intake_plugins.split(',') %} - {{plugin_name}} {%- endfor %} # Add additional plugins here build: [] about: description: {{cookiecutter.description}} extra: maintainers: - {{cookiecutter.full_name}} <{{cookiecutter.email}}>intake-0.6.5/templates/data_package/{{cookiecutter.package_name}}/{{cookiecutter.dataset_name}}.yaml000066400000000000000000000003221416666122400344260ustar00rootroot00000000000000metadata: version: 1 sources: mydataset: description: The Dataset Description driver: parquet args: urlpath: 's3://not_a_real_bucket/star_facts.parq' storage_options: {'anon': True} intake-0.6.5/test_requirements.txt000066400000000000000000000001341416666122400173260ustar00rootroot00000000000000intake-parquet zarr notebook panel==0.8.0 hvplot==0.5.2 bokeh<2.0.0 fsspec aiohttp requests intake-0.6.5/versioneer.py000066400000000000000000002057351416666122400155540ustar00rootroot00000000000000 # Version: 0.18 """The Versioneer - like a rocketeer, but for versions. The Versioneer ============== * like a rocketeer, but for versions! * https://github.com/warner/python-versioneer * Brian Warner * License: Public Domain * Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy * [![Latest Version] (https://pypip.in/version/versioneer/badge.svg?style=flat) ](https://pypi.python.org/pypi/versioneer/) * [![Build Status] (https://travis-ci.org/warner/python-versioneer.png?branch=master) ](https://travis-ci.org/warner/python-versioneer) This is a tool for managing a recorded version number in distutils-based python projects. The goal is to remove the tedious and error-prone "update the embedded version string" step from your release process. Making a new release should be as easy as recording a new tag in your version-control system, and maybe making new tarballs. ## Quick Install * `pip install versioneer` to somewhere to your $PATH * add a `[versioneer]` section to your setup.cfg (see below) * run `versioneer install` in your source tree, commit the results ## Version Identifiers Source trees come from a variety of places: * a version-control system checkout (mostly used by developers) * a nightly tarball, produced by build automation * a snapshot tarball, produced by a web-based VCS browser, like github's "tarball from tag" feature * a release tarball, produced by "setup.py sdist", distributed through PyPI Within each source tree, the version identifier (either a string or a number, this tool is format-agnostic) can come from a variety of places: * ask the VCS tool itself, e.g. "git describe" (for checkouts), which knows about recent "tags" and an absolute revision-id * the name of the directory into which the tarball was unpacked * an expanded VCS keyword ($Id$, etc) * a `_version.py` created by some earlier build step For released software, the version identifier is closely related to a VCS tag. Some projects use tag names that include more than just the version string (e.g. "myproject-1.2" instead of just "1.2"), in which case the tool needs to strip the tag prefix to extract the version identifier. For unreleased software (between tags), the version identifier should provide enough information to help developers recreate the same tree, while also giving them an idea of roughly how old the tree is (after version 1.2, before version 1.3). Many VCS systems can report a description that captures this, for example `git describe --tags --dirty --always` reports things like "0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the 0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has uncommitted changes. The version identifier is used for multiple purposes: * to allow the module to self-identify its version: `myproject.__version__` * to choose a name and prefix for a 'setup.py sdist' tarball ## Theory of Operation Versioneer works by adding a special `_version.py` file into your source tree, where your `__init__.py` can import it. This `_version.py` knows how to dynamically ask the VCS tool for version information at import time. `_version.py` also contains `$Revision$` markers, and the installation process marks `_version.py` to have this marker rewritten with a tag name during the `git archive` command. As a result, generated tarballs will contain enough information to get the proper version. To allow `setup.py` to compute a version too, a `versioneer.py` is added to the top level of your source tree, next to `setup.py` and the `setup.cfg` that configures it. This overrides several distutils/setuptools commands to compute the version when invoked, and changes `setup.py build` and `setup.py sdist` to replace `_version.py` with a small static file that contains just the generated version data. ## Installation See [INSTALL.md](./INSTALL.md) for detailed installation instructions. ## Version-String Flavors Code which uses Versioneer can learn about its version string at runtime by importing `_version` from your main `__init__.py` file and running the `get_versions()` function. From the "outside" (e.g. in `setup.py`), you can import the top-level `versioneer.py` and run `get_versions()`. Both functions return a dictionary with different flavors of version information: * `['version']`: A condensed version string, rendered using the selected style. This is the most commonly used value for the project's version string. The default "pep440" style yields strings like `0.11`, `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section below for alternative styles. * `['full-revisionid']`: detailed revision identifier. For Git, this is the full SHA1 commit id, e.g. "1076c978a8d3cfc70f408fe5974aa6c092c949ac". * `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the commit date in ISO 8601 format. This will be None if the date is not available. * `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that this is only accurate if run in a VCS checkout, otherwise it is likely to be False or None * `['error']`: if the version string could not be computed, this will be set to a string describing the problem, otherwise it will be None. It may be useful to throw an exception in setup.py if this is set, to avoid e.g. creating tarballs with a version string of "unknown". Some variants are more useful than others. Including `full-revisionid` in a bug report should allow developers to reconstruct the exact code being tested (or indicate the presence of local changes that should be shared with the developers). `version` is suitable for display in an "about" box or a CLI `--version` output: it can be easily compared against release notes and lists of bugs fixed in various releases. The installer adds the following text to your `__init__.py` to place a basic version in `YOURPROJECT.__version__`: from ._version import get_versions __version__ = get_versions()['version'] del get_versions ## Styles The setup.cfg `style=` configuration controls how the VCS information is rendered into a version string. The default style, "pep440", produces a PEP440-compliant string, equal to the un-prefixed tag name for actual releases, and containing an additional "local version" section with more detail for in-between builds. For Git, this is TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags --dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and that this commit is two revisions ("+2") beyond the "0.11" tag. For released software (exactly equal to a known tag), the identifier will only contain the stripped tag, e.g. "0.11". Other styles are available. See [details.md](details.md) in the Versioneer source tree for descriptions. ## Debugging Versioneer tries to avoid fatal errors: if something goes wrong, it will tend to return a version of "0+unknown". To investigate the problem, run `setup.py version`, which will run the version-lookup code in a verbose mode, and will display the full contents of `get_versions()` (including the `error` string, which may help identify what went wrong). ## Known Limitations Some situations are known to cause problems for Versioneer. This details the most significant ones. More can be found on Github [issues page](https://github.com/warner/python-versioneer/issues). ### Subprojects Versioneer has limited support for source trees in which `setup.py` is not in the root directory (e.g. `setup.py` and `.git/` are *not* siblings). The are two common reasons why `setup.py` might not be in the root: * Source trees which contain multiple subprojects, such as [Buildbot](https://github.com/buildbot/buildbot), which contains both "master" and "slave" subprojects, each with their own `setup.py`, `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI distributions (and upload multiple independently-installable tarballs). * Source trees whose main purpose is to contain a C library, but which also provide bindings to Python (and perhaps other langauges) in subdirectories. Versioneer will look for `.git` in parent directories, and most operations should get the right version string. However `pip` and `setuptools` have bugs and implementation details which frequently cause `pip install .` from a subproject directory to fail to find a correct version string (so it usually defaults to `0+unknown`). `pip install --editable .` should work correctly. `setup.py install` might work too. Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in some later version. [Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking this issue. The discussion in [PR #61](https://github.com/warner/python-versioneer/pull/61) describes the issue from the Versioneer side in more detail. [pip PR#3176](https://github.com/pypa/pip/pull/3176) and [pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve pip to let Versioneer work correctly. Versioneer-0.16 and earlier only looked for a `.git` directory next to the `setup.cfg`, so subprojects were completely unsupported with those releases. ### Editable installs with setuptools <= 18.5 `setup.py develop` and `pip install --editable .` allow you to install a project into a virtualenv once, then continue editing the source code (and test) without re-installing after every change. "Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a convenient way to specify executable scripts that should be installed along with the python package. These both work as expected when using modern setuptools. When using setuptools-18.5 or earlier, however, certain operations will cause `pkg_resources.DistributionNotFound` errors when running the entrypoint script, which must be resolved by re-installing the package. This happens when the install happens with one version, then the egg_info data is regenerated while a different version is checked out. Many setup.py commands cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into a different virtualenv), so this can be surprising. [Bug #83](https://github.com/warner/python-versioneer/issues/83) describes this one, but upgrading to a newer version of setuptools should probably resolve it. ### Unicode version strings While Versioneer works (and is continually tested) with both Python 2 and Python 3, it is not entirely consistent with bytes-vs-unicode distinctions. Newer releases probably generate unicode version strings on py2. It's not clear that this is wrong, but it may be surprising for applications when then write these strings to a network connection or include them in bytes-oriented APIs like cryptographic checksums. [Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates this question. ## Updating Versioneer To upgrade your project to a new release of Versioneer, do the following: * install the new Versioneer (`pip install -U versioneer` or equivalent) * edit `setup.cfg`, if necessary, to include any new configuration settings indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details. * re-run `versioneer install` in your source tree, to replace `SRC/_version.py` * commit any changed files ## Future Directions This tool is designed to make it easily extended to other version-control systems: all VCS-specific components are in separate directories like src/git/ . The top-level `versioneer.py` script is assembled from these components by running make-versioneer.py . In the future, make-versioneer.py will take a VCS name as an argument, and will construct a version of `versioneer.py` that is specific to the given VCS. It might also take the configuration arguments that are currently provided manually during installation by editing setup.py . Alternatively, it might go the other direction and include code from all supported VCS systems, reducing the number of intermediate scripts. ## License To make Versioneer easier to embed, all its code is dedicated to the public domain. The `_version.py` that it creates is also in the public domain. Specifically, both are released under the Creative Commons "Public Domain Dedication" license (CC0-1.0), as described in https://creativecommons.org/publicdomain/zero/1.0/ . """ from __future__ import print_function try: import configparser except ImportError: import ConfigParser as configparser import errno import json import os import re import subprocess import sys class VersioneerConfig: """Container for Versioneer configuration parameters.""" def get_root(): """Get the project root directory. We require that all commands are run from the project root, i.e. the directory that contains setup.py, setup.cfg, and versioneer.py . """ root = os.path.realpath(os.path.abspath(os.getcwd())) setup_py = os.path.join(root, "setup.py") versioneer_py = os.path.join(root, "versioneer.py") if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)): # allow 'python path/to/setup.py COMMAND' root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0]))) setup_py = os.path.join(root, "setup.py") versioneer_py = os.path.join(root, "versioneer.py") if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)): err = ("Versioneer was unable to run the project root directory. " "Versioneer requires setup.py to be executed from " "its immediate directory (like 'python setup.py COMMAND'), " "or in a way that lets it use sys.argv[0] to find the root " "(like 'python path/to/setup.py COMMAND').") raise VersioneerBadRootError(err) try: # Certain runtime workflows (setup.py install/develop in a setuptools # tree) execute all dependencies in a single python process, so # "versioneer" may be imported multiple times, and python's shared # module-import table will cache the first one. So we can't use # os.path.dirname(__file__), as that will find whichever # versioneer.py was first imported, even in later projects. me = os.path.realpath(os.path.abspath(__file__)) me_dir = os.path.normcase(os.path.splitext(me)[0]) vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0]) if me_dir != vsr_dir: print("Warning: build in %s is using versioneer.py from %s" % (os.path.dirname(me), versioneer_py)) except NameError: pass return root def get_config_from_root(root): """Read the project setup.cfg file to determine Versioneer config.""" # This might raise EnvironmentError (if setup.cfg is missing), or # configparser.NoSectionError (if it lacks a [versioneer] section), or # configparser.NoOptionError (if it lacks "VCS="). See the docstring at # the top of versioneer.py for instructions on writing your setup.cfg . setup_cfg = os.path.join(root, "setup.cfg") parser = configparser.ConfigParser() parser.read(setup_cfg) VCS = parser.get("versioneer", "VCS") # mandatory def get(parser, name): if parser.has_option("versioneer", name): return parser.get("versioneer", name) return None cfg = VersioneerConfig() cfg.VCS = VCS cfg.style = get(parser, "style") or "" cfg.versionfile_source = get(parser, "versionfile_source") cfg.versionfile_build = get(parser, "versionfile_build") cfg.tag_prefix = get(parser, "tag_prefix") if cfg.tag_prefix in ("''", '""'): cfg.tag_prefix = "" cfg.parentdir_prefix = get(parser, "parentdir_prefix") cfg.verbose = get(parser, "verbose") return cfg class NotThisMethod(Exception): """Exception raised if a method is not valid for the current scenario.""" # these dictionaries contain VCS-specific tools LONG_VERSION_PY = {} HANDLERS = {} def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f return decorate def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None for c in commands: try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git p = subprocess.Popen([c] + args, cwd=cwd, env=env, stdout=subprocess.PIPE, stderr=(subprocess.PIPE if hide_stderr else None)) break except EnvironmentError: e = sys.exc_info()[1] if e.errno == errno.ENOENT: continue if verbose: print("unable to run %s" % dispcmd) print(e) return None, None else: if verbose: print("unable to find command, tried %s" % (commands,)) return None, None stdout = p.communicate()[0].strip() if sys.version_info[0] >= 3: stdout = stdout.decode() if p.returncode != 0: if verbose: print("unable to run %s (error)" % dispcmd) print("stdout was %s" % stdout) return None, p.returncode return stdout, p.returncode LONG_VERSION_PY['git'] = ''' # This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build # directories (produced by setup.py build) will contain a much shorter file # that just contains the computed version number. # This file is released into the public domain. Generated by # versioneer-0.18 (https://github.com/warner/python-versioneer) """Git implementation of _version.py.""" import errno import os import re import subprocess import sys def get_keywords(): """Get the keywords needed to look up the version information.""" # these strings will be replaced by git during git-archive. # setup.py/versioneer.py will grep for the variable names, so they must # each be defined on a line of their own. _version.py will just call # get_keywords(). git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s" git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s" git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s" keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} return keywords class VersioneerConfig: """Container for Versioneer configuration parameters.""" def get_config(): """Create, populate and return the VersioneerConfig() object.""" # these strings are filled in when 'setup.py versioneer' creates # _version.py cfg = VersioneerConfig() cfg.VCS = "git" cfg.style = "%(STYLE)s" cfg.tag_prefix = "%(TAG_PREFIX)s" cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s" cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s" cfg.verbose = False return cfg class NotThisMethod(Exception): """Exception raised if a method is not valid for the current scenario.""" LONG_VERSION_PY = {} HANDLERS = {} def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f return decorate def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None for c in commands: try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git p = subprocess.Popen([c] + args, cwd=cwd, env=env, stdout=subprocess.PIPE, stderr=(subprocess.PIPE if hide_stderr else None)) break except EnvironmentError: e = sys.exc_info()[1] if e.errno == errno.ENOENT: continue if verbose: print("unable to run %%s" %% dispcmd) print(e) return None, None else: if verbose: print("unable to find command, tried %%s" %% (commands,)) return None, None stdout = p.communicate()[0].strip() if sys.version_info[0] >= 3: stdout = stdout.decode() if p.returncode != 0: if verbose: print("unable to run %%s (error)" %% dispcmd) print("stdout was %%s" %% stdout) return None, p.returncode return stdout, p.returncode def versions_from_parentdir(parentdir_prefix, root, verbose): """Try to determine the version from the parent directory name. Source tarballs conventionally unpack into a directory that includes both the project name and a version string. We will also support searching up two directory levels for an appropriately named parent directory """ rootdirs = [] for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): return {"version": dirname[len(parentdir_prefix):], "full-revisionid": None, "dirty": False, "error": None, "date": None} else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: print("Tried directories %%s but none started with prefix %%s" %% (str(rootdirs), parentdir_prefix)) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") @register_vcs_handler("git", "get_keywords") def git_get_keywords(versionfile_abs): """Extract version information from the given file.""" # the code embedded in _version.py can just fetch the value of these # keywords. When used from setup.py, we don't want to import _version.py, # so we do it with a regexp instead. This function is not used from # _version.py. keywords = {} try: f = open(versionfile_abs, "r") for line in f.readlines(): if line.strip().startswith("git_refnames ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["refnames"] = mo.group(1) if line.strip().startswith("git_full ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["full"] = mo.group(1) if line.strip().startswith("git_date ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["date"] = mo.group(1) f.close() except EnvironmentError: pass return keywords @register_vcs_handler("git", "keywords") def git_versions_from_keywords(keywords, tag_prefix, verbose): """Get version information from git keywords.""" if not keywords: raise NotThisMethod("no keywords at all, weird") date = keywords.get("date") if date is not None: # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601 # -like" string, which we must then edit to make compliant), because # it's been around since git-1.5.3, and it's too difficult to # discover which version we're using, or to work around using an # older one. date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) refnames = keywords["refnames"].strip() if refnames.startswith("$Format"): if verbose: print("keywords are unexpanded, not using") raise NotThisMethod("unexpanded keywords, not a git-archive tarball") refs = set([r.strip() for r in refnames.strip("()").split(",")]) # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %%d # expansion behaves like git log --decorate=short and strips out the # refs/heads/ and refs/tags/ prefixes that would let us distinguish # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". tags = set([r for r in refs if re.search(r'\d', r)]) if verbose: print("discarding '%%s', no digits" %% ",".join(refs - tags)) if verbose: print("likely tags: %%s" %% ",".join(sorted(tags))) for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): r = ref[len(tag_prefix):] if verbose: print("picking %%s" %% r) return {"version": r, "full-revisionid": keywords["full"].strip(), "dirty": False, "error": None, "date": date} # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") return {"version": "0+unknown", "full-revisionid": keywords["full"].strip(), "dirty": False, "error": "no suitable tags", "date": None} @register_vcs_handler("git", "pieces_from_vcs") def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): """Get version from 'git describe' in the root of the source tree. This only gets called if the git-archive 'subst' keywords were *not* expanded, and _version.py hasn't already been rewritten with a short version string, meaning we're inside a checked out source tree. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %%s not under git control" %% root) raise NotThisMethod("'git rev-parse --git-dir' returned error") # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", "--always", "--long", "--match", "%%s*" %% tag_prefix], cwd=root) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") describe_out = describe_out.strip() full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root) if full_out is None: raise NotThisMethod("'git rev-parse' failed") full_out = full_out.strip() pieces = {} pieces["long"] = full_out pieces["short"] = full_out[:7] # maybe improved later pieces["error"] = None # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] # TAG might have hyphens. git_describe = describe_out # look for -dirty suffix dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: git_describe = git_describe[:git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? pieces["error"] = ("unable to parse git-describe output: '%%s'" %% describe_out) return pieces # tag full_tag = mo.group(1) if not full_tag.startswith(tag_prefix): if verbose: fmt = "tag '%%s' doesn't start with prefix '%%s'" print(fmt %% (full_tag, tag_prefix)) pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'" %% (full_tag, tag_prefix)) return pieces pieces["closest-tag"] = full_tag[len(tag_prefix):] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) # commit: short hex revision ID pieces["short"] = mo.group(3) else: # HEX: no tags pieces["closest-tag"] = None count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces def plus_or_dot(pieces): """Return a + if we don't already have one, else return a .""" if "+" in pieces.get("closest-tag", ""): return "." return "+" def render_pep440(pieces): """Build up version string, with post-release "local version identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty Exceptions: 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += plus_or_dot(pieces) rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" else: # exception #1 rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered def render_pep440_pre(pieces): """TAG[.post.devDISTANCE] -- No -dirty. Exceptions: 1: no tags. 0.post.devDISTANCE """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += ".post.dev%%d" %% pieces["distance"] else: # exception #1 rendered = "0.post.dev%%d" %% pieces["distance"] return rendered def render_pep440_post(pieces): """TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that .dev0 sorts backwards (a dirty tree will appear "older" than the corresponding clean one), but you shouldn't be releasing software with -dirty anyways. Exceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += plus_or_dot(pieces) rendered += "g%%s" %% pieces["short"] else: # exception #1 rendered = "0.post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += "+g%%s" %% pieces["short"] return rendered def render_pep440_old(pieces): """TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty. Eexceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" else: # exception #1 rendered = "0.post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" return rendered def render_git_describe(pieces): """TAG[-DISTANCE-gHEX][-dirty]. Like 'git describe --tags --dirty --always'. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render_git_describe_long(pieces): """TAG-DISTANCE-gHEX[-dirty]. Like 'git describe --tags --dirty --always -long'. The distance/hash is unconditional. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: return {"version": "unknown", "full-revisionid": pieces.get("long"), "dirty": None, "error": pieces["error"], "date": None} if not style or style == "default": style = "pep440" # the default if style == "pep440": rendered = render_pep440(pieces) elif style == "pep440-pre": rendered = render_pep440_pre(pieces) elif style == "pep440-post": rendered = render_pep440_post(pieces) elif style == "pep440-old": rendered = render_pep440_old(pieces) elif style == "git-describe": rendered = render_git_describe(pieces) elif style == "git-describe-long": rendered = render_git_describe_long(pieces) else: raise ValueError("unknown style '%%s'" %% style) return {"version": rendered, "full-revisionid": pieces["long"], "dirty": pieces["dirty"], "error": None, "date": pieces.get("date")} def get_versions(): """Get version information or return default if unable to do so.""" # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have # __file__, we can work backwards from there to the root. Some # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which # case we can only use expanded keywords. cfg = get_config() verbose = cfg.verbose try: return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose) except NotThisMethod: pass try: root = os.path.realpath(__file__) # versionfile_source is the relative path from the top of the source # tree (where the .git directory might live) to this file. Invert # this to find the root from __file__. for i in cfg.versionfile_source.split('/'): root = os.path.dirname(root) except NameError: return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to find root of source tree", "date": None} try: pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose) return render(pieces, cfg.style) except NotThisMethod: pass try: if cfg.parentdir_prefix: return versions_from_parentdir(cfg.parentdir_prefix, root, verbose) except NotThisMethod: pass return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to compute version", "date": None} ''' @register_vcs_handler("git", "get_keywords") def git_get_keywords(versionfile_abs): """Extract version information from the given file.""" # the code embedded in _version.py can just fetch the value of these # keywords. When used from setup.py, we don't want to import _version.py, # so we do it with a regexp instead. This function is not used from # _version.py. keywords = {} try: f = open(versionfile_abs, "r") for line in f.readlines(): if line.strip().startswith("git_refnames ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["refnames"] = mo.group(1) if line.strip().startswith("git_full ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["full"] = mo.group(1) if line.strip().startswith("git_date ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["date"] = mo.group(1) f.close() except EnvironmentError: pass return keywords @register_vcs_handler("git", "keywords") def git_versions_from_keywords(keywords, tag_prefix, verbose): """Get version information from git keywords.""" if not keywords: raise NotThisMethod("no keywords at all, weird") date = keywords.get("date") if date is not None: # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant # datestamp. However we prefer "%ci" (which expands to an "ISO-8601 # -like" string, which we must then edit to make compliant), because # it's been around since git-1.5.3, and it's too difficult to # discover which version we're using, or to work around using an # older one. date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) refnames = keywords["refnames"].strip() if refnames.startswith("$Format"): if verbose: print("keywords are unexpanded, not using") raise NotThisMethod("unexpanded keywords, not a git-archive tarball") refs = set([r.strip() for r in refnames.strip("()").split(",")]) # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %d # expansion behaves like git log --decorate=short and strips out the # refs/heads/ and refs/tags/ prefixes that would let us distinguish # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". tags = set([r for r in refs if re.search(r'\d', r)]) if verbose: print("discarding '%s', no digits" % ",".join(refs - tags)) if verbose: print("likely tags: %s" % ",".join(sorted(tags))) for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): r = ref[len(tag_prefix):] if verbose: print("picking %s" % r) return {"version": r, "full-revisionid": keywords["full"].strip(), "dirty": False, "error": None, "date": date} # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") return {"version": "0+unknown", "full-revisionid": keywords["full"].strip(), "dirty": False, "error": "no suitable tags", "date": None} @register_vcs_handler("git", "pieces_from_vcs") def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): """Get version from 'git describe' in the root of the source tree. This only gets called if the git-archive 'subst' keywords were *not* expanded, and _version.py hasn't already been rewritten with a short version string, meaning we're inside a checked out source tree. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %s not under git control" % root) raise NotThisMethod("'git rev-parse --git-dir' returned error") # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", "--always", "--long", "--match", "%s*" % tag_prefix], cwd=root) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") describe_out = describe_out.strip() full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root) if full_out is None: raise NotThisMethod("'git rev-parse' failed") full_out = full_out.strip() pieces = {} pieces["long"] = full_out pieces["short"] = full_out[:7] # maybe improved later pieces["error"] = None # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] # TAG might have hyphens. git_describe = describe_out # look for -dirty suffix dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: git_describe = git_describe[:git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? pieces["error"] = ("unable to parse git-describe output: '%s'" % describe_out) return pieces # tag full_tag = mo.group(1) if not full_tag.startswith(tag_prefix): if verbose: fmt = "tag '%s' doesn't start with prefix '%s'" print(fmt % (full_tag, tag_prefix)) pieces["error"] = ("tag '%s' doesn't start with prefix '%s'" % (full_tag, tag_prefix)) return pieces pieces["closest-tag"] = full_tag[len(tag_prefix):] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) # commit: short hex revision ID pieces["short"] = mo.group(3) else: # HEX: no tags pieces["closest-tag"] = None count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces def do_vcs_install(manifest_in, versionfile_source, ipy): """Git-specific installation logic for Versioneer. For Git, this means creating/changing .gitattributes to mark _version.py for export-subst keyword substitution. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] files = [manifest_in, versionfile_source] if ipy: files.append(ipy) try: me = __file__ if me.endswith(".pyc") or me.endswith(".pyo"): me = os.path.splitext(me)[0] + ".py" versioneer_file = os.path.relpath(me) except NameError: versioneer_file = "versioneer.py" files.append(versioneer_file) present = False try: f = open(".gitattributes", "r") for line in f.readlines(): if line.strip().startswith(versionfile_source): if "export-subst" in line.strip().split()[1:]: present = True f.close() except EnvironmentError: pass if not present: f = open(".gitattributes", "a+") f.write("%s export-subst\n" % versionfile_source) f.close() files.append(".gitattributes") run_command(GITS, ["add", "--"] + files) def versions_from_parentdir(parentdir_prefix, root, verbose): """Try to determine the version from the parent directory name. Source tarballs conventionally unpack into a directory that includes both the project name and a version string. We will also support searching up two directory levels for an appropriately named parent directory """ rootdirs = [] for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): return {"version": dirname[len(parentdir_prefix):], "full-revisionid": None, "dirty": False, "error": None, "date": None} else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: print("Tried directories %s but none started with prefix %s" % (str(rootdirs), parentdir_prefix)) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") SHORT_VERSION_PY = """ # This file was generated by 'versioneer.py' (0.18) from # revision-control system data, or from the parent directory name of an # unpacked source archive. Distribution tarballs contain a pre-generated copy # of this file. import json version_json = ''' %s ''' # END VERSION_JSON def get_versions(): return json.loads(version_json) """ def versions_from_file(filename): """Try to determine the version from _version.py if present.""" try: with open(filename) as f: contents = f.read() except EnvironmentError: raise NotThisMethod("unable to read _version.py") mo = re.search(r"version_json = '''\n(.*)''' # END VERSION_JSON", contents, re.M | re.S) if not mo: mo = re.search(r"version_json = '''\r\n(.*)''' # END VERSION_JSON", contents, re.M | re.S) if not mo: raise NotThisMethod("no version_json in _version.py") return json.loads(mo.group(1)) def write_to_version_file(filename, versions): """Write the given version number to the given _version.py file.""" os.unlink(filename) contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": ")) with open(filename, "w") as f: f.write(SHORT_VERSION_PY % contents) print("set %s to '%s'" % (filename, versions["version"])) def plus_or_dot(pieces): """Return a + if we don't already have one, else return a .""" if "+" in pieces.get("closest-tag", ""): return "." return "+" def render_pep440(pieces): """Build up version string, with post-release "local version identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty Exceptions: 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += plus_or_dot(pieces) rendered += "%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" else: # exception #1 rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered def render_pep440_pre(pieces): """TAG[.post.devDISTANCE] -- No -dirty. Exceptions: 1: no tags. 0.post.devDISTANCE """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += ".post.dev%d" % pieces["distance"] else: # exception #1 rendered = "0.post.dev%d" % pieces["distance"] return rendered def render_pep440_post(pieces): """TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that .dev0 sorts backwards (a dirty tree will appear "older" than the corresponding clean one), but you shouldn't be releasing software with -dirty anyways. Exceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += plus_or_dot(pieces) rendered += "g%s" % pieces["short"] else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += "+g%s" % pieces["short"] return rendered def render_pep440_old(pieces): """TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty. Eexceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" return rendered def render_git_describe(pieces): """TAG[-DISTANCE-gHEX][-dirty]. Like 'git describe --tags --dirty --always'. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render_git_describe_long(pieces): """TAG-DISTANCE-gHEX[-dirty]. Like 'git describe --tags --dirty --always -long'. The distance/hash is unconditional. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: return {"version": "unknown", "full-revisionid": pieces.get("long"), "dirty": None, "error": pieces["error"], "date": None} if not style or style == "default": style = "pep440" # the default if style == "pep440": rendered = render_pep440(pieces) elif style == "pep440-pre": rendered = render_pep440_pre(pieces) elif style == "pep440-post": rendered = render_pep440_post(pieces) elif style == "pep440-old": rendered = render_pep440_old(pieces) elif style == "git-describe": rendered = render_git_describe(pieces) elif style == "git-describe-long": rendered = render_git_describe_long(pieces) else: raise ValueError("unknown style '%s'" % style) return {"version": rendered, "full-revisionid": pieces["long"], "dirty": pieces["dirty"], "error": None, "date": pieces.get("date")} class VersioneerBadRootError(Exception): """The project root directory is unknown or missing key files.""" def get_versions(verbose=False): """Get the project version from whatever source is available. Returns dict with two keys: 'version' and 'full'. """ if "versioneer" in sys.modules: # see the discussion in cmdclass.py:get_cmdclass() del sys.modules["versioneer"] root = get_root() cfg = get_config_from_root(root) assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg" handlers = HANDLERS.get(cfg.VCS) assert handlers, "unrecognized VCS '%s'" % cfg.VCS verbose = verbose or cfg.verbose assert cfg.versionfile_source is not None, \ "please set versioneer.versionfile_source" assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix" versionfile_abs = os.path.join(root, cfg.versionfile_source) # extract version from first of: _version.py, VCS command (e.g. 'git # describe'), parentdir. This is meant to work for developers using a # source checkout, for users of a tarball created by 'setup.py sdist', # and for users of a tarball/zipball created by 'git archive' or github's # download-from-tag feature or the equivalent in other VCSes. get_keywords_f = handlers.get("get_keywords") from_keywords_f = handlers.get("keywords") if get_keywords_f and from_keywords_f: try: keywords = get_keywords_f(versionfile_abs) ver = from_keywords_f(keywords, cfg.tag_prefix, verbose) if verbose: print("got version from expanded keyword %s" % ver) return ver except NotThisMethod: pass try: ver = versions_from_file(versionfile_abs) if verbose: print("got version from file %s %s" % (versionfile_abs, ver)) return ver except NotThisMethod: pass from_vcs_f = handlers.get("pieces_from_vcs") if from_vcs_f: try: pieces = from_vcs_f(cfg.tag_prefix, root, verbose) ver = render(pieces, cfg.style) if verbose: print("got version from VCS %s" % ver) return ver except NotThisMethod: pass try: if cfg.parentdir_prefix: ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose) if verbose: print("got version from parentdir %s" % ver) return ver except NotThisMethod: pass if verbose: print("unable to compute version") return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to compute version", "date": None} def get_version(): """Get the short version string for this project.""" return get_versions()["version"] def get_cmdclass(): """Get the custom setuptools/distutils subclasses used by Versioneer.""" if "versioneer" in sys.modules: del sys.modules["versioneer"] # this fixes the "python setup.py develop" case (also 'install' and # 'easy_install .'), in which subdependencies of the main project are # built (using setup.py bdist_egg) in the same python process. Assume # a main project A and a dependency B, which use different versions # of Versioneer. A's setup.py imports A's Versioneer, leaving it in # sys.modules by the time B's setup.py is executed, causing B to run # with the wrong versioneer. Setuptools wraps the sub-dep builds in a # sandbox that restores sys.modules to it's pre-build state, so the # parent is protected against the child's "import versioneer". By # removing ourselves from sys.modules here, before the child build # happens, we protect the child from the parent's versioneer too. # Also see https://github.com/warner/python-versioneer/issues/52 cmds = {} # we add "version" to both distutils and setuptools from distutils.core import Command class cmd_version(Command): description = "report generated version string" user_options = [] boolean_options = [] def initialize_options(self): pass def finalize_options(self): pass def run(self): vers = get_versions(verbose=True) print("Version: %s" % vers["version"]) print(" full-revisionid: %s" % vers.get("full-revisionid")) print(" dirty: %s" % vers.get("dirty")) print(" date: %s" % vers.get("date")) if vers["error"]: print(" error: %s" % vers["error"]) cmds["version"] = cmd_version # we override "build_py" in both distutils and setuptools # # most invocation pathways end up running build_py: # distutils/build -> build_py # distutils/install -> distutils/build ->.. # setuptools/bdist_wheel -> distutils/install ->.. # setuptools/bdist_egg -> distutils/install_lib -> build_py # setuptools/install -> bdist_egg ->.. # setuptools/develop -> ? # pip install: # copies source tree to a tempdir before running egg_info/etc # if .git isn't copied too, 'git describe' will fail # then does setup.py bdist_wheel, or sometimes setup.py install # setup.py egg_info -> ? # we override different "build_py" commands for both environments if "setuptools" in sys.modules: from setuptools.command.build_py import build_py as _build_py else: from distutils.command.build_py import build_py as _build_py class cmd_build_py(_build_py): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() _build_py.run(self) # now locate _version.py in the new build/ directory and replace # it with an updated value if cfg.versionfile_build: target_versionfile = os.path.join(self.build_lib, cfg.versionfile_build) print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) cmds["build_py"] = cmd_build_py if "cx_Freeze" in sys.modules: # cx_freeze enabled? from cx_Freeze.dist import build_exe as _build_exe # nczeczulin reports that py2exe won't like the pep440-style string # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g. # setup(console=[{ # "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION # "product_version": versioneer.get_version(), # ... class cmd_build_exe(_build_exe): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() target_versionfile = cfg.versionfile_source print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) _build_exe.run(self) os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) cmds["build_exe"] = cmd_build_exe del cmds["build_py"] if 'py2exe' in sys.modules: # py2exe enabled? try: from py2exe.distutils_buildexe import py2exe as _py2exe # py3 except ImportError: from py2exe.build_exe import py2exe as _py2exe # py2 class cmd_py2exe(_py2exe): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() target_versionfile = cfg.versionfile_source print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) _py2exe.run(self) os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) cmds["py2exe"] = cmd_py2exe # we override different "sdist" commands for both environments if "setuptools" in sys.modules: from setuptools.command.sdist import sdist as _sdist else: from distutils.command.sdist import sdist as _sdist class cmd_sdist(_sdist): def run(self): versions = get_versions() self._versioneer_generated_versions = versions # unless we update this, the command will keep using the old # version self.distribution.metadata.version = versions["version"] return _sdist.run(self) def make_release_tree(self, base_dir, files): root = get_root() cfg = get_config_from_root(root) _sdist.make_release_tree(self, base_dir, files) # now locate _version.py in the new base_dir directory # (remembering that it may be a hardlink) and replace it with an # updated value target_versionfile = os.path.join(base_dir, cfg.versionfile_source) print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, self._versioneer_generated_versions) cmds["sdist"] = cmd_sdist return cmds CONFIG_ERROR = """ setup.cfg is missing the necessary Versioneer configuration. You need a section like: [versioneer] VCS = git style = pep440 versionfile_source = src/myproject/_version.py versionfile_build = myproject/_version.py tag_prefix = parentdir_prefix = myproject- You will also need to edit your setup.py to use the results: import versioneer setup(version=versioneer.get_version(), cmdclass=versioneer.get_cmdclass(), ...) Please read the docstring in ./versioneer.py for configuration instructions, edit setup.cfg, and re-run the installer or 'python versioneer.py setup'. """ SAMPLE_CONFIG = """ # See the docstring in versioneer.py for instructions. Note that you must # re-run 'versioneer.py setup' after changing this section, and commit the # resulting files. [versioneer] #VCS = git #style = pep440 #versionfile_source = #versionfile_build = #tag_prefix = #parentdir_prefix = """ INIT_PY_SNIPPET = """ from ._version import get_versions __version__ = get_versions()['version'] del get_versions """ def do_setup(): """Main VCS-independent setup function for installing Versioneer.""" root = get_root() try: cfg = get_config_from_root(root) except (EnvironmentError, configparser.NoSectionError, configparser.NoOptionError) as e: if isinstance(e, (EnvironmentError, configparser.NoSectionError)): print("Adding sample versioneer config to setup.cfg", file=sys.stderr) with open(os.path.join(root, "setup.cfg"), "a") as f: f.write(SAMPLE_CONFIG) print(CONFIG_ERROR, file=sys.stderr) return 1 print(" creating %s" % cfg.versionfile_source) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) ipy = os.path.join(os.path.dirname(cfg.versionfile_source), "__init__.py") if os.path.exists(ipy): try: with open(ipy, "r") as f: old = f.read() except EnvironmentError: old = "" if INIT_PY_SNIPPET not in old: print(" appending to %s" % ipy) with open(ipy, "a") as f: f.write(INIT_PY_SNIPPET) else: print(" %s unmodified" % ipy) else: print(" %s doesn't exist, ok" % ipy) ipy = None # Make sure both the top-level "versioneer.py" and versionfile_source # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so # they'll be copied into source distributions. Pip won't be able to # install the package without this. manifest_in = os.path.join(root, "MANIFEST.in") simple_includes = set() try: with open(manifest_in, "r") as f: for line in f: if line.startswith("include "): for include in line.split()[1:]: simple_includes.add(include) except EnvironmentError: pass # That doesn't cover everything MANIFEST.in can do # (http://docs.python.org/2/distutils/sourcedist.html#commands), so # it might give some false negatives. Appending redundant 'include' # lines is safe, though. if "versioneer.py" not in simple_includes: print(" appending 'versioneer.py' to MANIFEST.in") with open(manifest_in, "a") as f: f.write("include versioneer.py\n") else: print(" 'versioneer.py' already in MANIFEST.in") if cfg.versionfile_source not in simple_includes: print(" appending versionfile_source ('%s') to MANIFEST.in" % cfg.versionfile_source) with open(manifest_in, "a") as f: f.write("include %s\n" % cfg.versionfile_source) else: print(" versionfile_source already in MANIFEST.in") # Make VCS-specific changes. For git, this means creating/changing # .gitattributes to mark _version.py for export-subst keyword # substitution. do_vcs_install(manifest_in, cfg.versionfile_source, ipy) return 0 def scan_setup_py(): """Validate the contents of setup.py against Versioneer's expectations.""" found = set() setters = False errors = 0 with open("setup.py", "r") as f: for line in f.readlines(): if "import versioneer" in line: found.add("import") if "versioneer.get_cmdclass()" in line: found.add("cmdclass") if "versioneer.get_version()" in line: found.add("get_version") if "versioneer.VCS" in line: setters = True if "versioneer.versionfile_source" in line: setters = True if len(found) != 3: print("") print("Your setup.py appears to be missing some important items") print("(but I might be wrong). Please make sure it has something") print("roughly like the following:") print("") print(" import versioneer") print(" setup( version=versioneer.get_version(),") print(" cmdclass=versioneer.get_cmdclass(), ...)") print("") errors += 1 if setters: print("You should remove lines like 'versioneer.VCS = ' and") print("'versioneer.versionfile_source = ' . This configuration") print("now lives in setup.cfg, and should be removed from setup.py") print("") errors += 1 return errors if __name__ == "__main__": cmd = sys.argv[1] if cmd == "setup": errors = do_setup() errors += scan_setup_py() if errors: sys.exit(1)