pax_global_header00006660000000000000000000000064146474641170014530gustar00rootroot0000000000000052 comment=b65b325d31019025faa17b32584c81967cbcc9e2 pystac-client-0.8.3/000077500000000000000000000000001464746411700143175ustar00rootroot00000000000000pystac-client-0.8.3/.adr-dir000066400000000000000000000000231464746411700156350ustar00rootroot00000000000000docs/source/design pystac-client-0.8.3/.codespellignore000066400000000000000000000000101464746411700174650ustar00rootroot00000000000000filetestpystac-client-0.8.3/.gitattributes000066400000000000000000000000621464746411700172100ustar00rootroot00000000000000tests/cassettes/**/*.yaml linguist-generated=true pystac-client-0.8.3/.github/000077500000000000000000000000001464746411700156575ustar00rootroot00000000000000pystac-client-0.8.3/.github/dependabot.yml000066400000000000000000000005271464746411700205130ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: github-actions directory: "/" schedule: interval: weekly - package-ecosystem: pip directory: "/.github/workflows" schedule: interval: weekly - package-ecosystem: pip directory: "." schedule: interval: daily versioning-strategy: increase-if-necessary pystac-client-0.8.3/.github/pull_request_template.md000066400000000000000000000003371464746411700226230ustar00rootroot00000000000000**Related Issue(s):** - # **Description:** **PR Checklist:** - [ ] Code is formatted - [ ] Tests pass - [ ] Changes are added to the [CHANGELOG](https://github.com/stac-utils/pystac-api-client/blob/main/CHANGELOG.md)pystac-client-0.8.3/.github/workflows/000077500000000000000000000000001464746411700177145ustar00rootroot00000000000000pystac-client-0.8.3/.github/workflows/continuous-integration.yml000066400000000000000000000106461464746411700251750ustar00rootroot00000000000000name: CI on: push: branches: - main pull_request: concurrency: # Cancel running job if another commit is pushed to the branch group: ${{ github.ref }} cancel-in-progress: true jobs: build: name: build runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: python-version: - "3.9" - "3.10" - "3.11" - "3.12" os: - ubuntu-latest - windows-latest - macos-latest exclude: # macos-latest is arm64, which doesn't have this python - os: macos-latest python-version: "3.9" steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Download uv (non-Windows) if: ${{ runner.os != 'Windows' }} run: curl -LsSf https://astral.sh/uv/install.sh | sh - name: Download uv (Windows) if: ${{ runner.os == 'Windows' }} run: irm https://astral.sh/uv/install.ps1 | iex - name: Install package with dev requirements run: uv pip install --system .[dev] - name: Run pre-commit run: pre-commit run --all-files - name: Run pytest run: pytest -Werror -s --block-network --cov pystac_client --cov-report term-missing - name: Run coverage run: coverage xml - name: Upload All coverage to Codecov uses: codecov/codecov-action@v4 with: token: ${{ secrets.CODECOV_TOKEN }} file: ./coverage.xml fail_ci_if_error: false min-versions: name: min-versions runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: 3.9 - name: Download uv run: curl -LsSf https://astral.sh/uv/install.sh | sh - name: Install dev requirements run: uv pip install --system .[dev] - name: Install with min requirements run: uv pip install --system --resolution=lowest-direct --reinstall . - name: Run pytest run: pytest -Werror -s --block-network docs: name: docs runs-on: ubuntu-latest # Required shell entrypoint to have properly activated conda environment defaults: run: shell: bash -l {0} steps: - uses: actions/checkout@v4 - name: Setup Conda Environment uses: conda-incubator/setup-miniconda@v3.0.4 with: miniforge-variant: Mambaforge miniforge-version: latest python-version: 3.9 use-mamba: true channel-priority: strict environment-file: ./docs/environment.yml activate-environment: pystac-client-docs auto-activate-base: false - name: Build docs run: ./scripts/build-docs pre-release: name: pre-release runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: 3.9 - name: Download uv run: curl -LsSf https://astral.sh/uv/install.sh | sh - name: Install with dev requirements run: uv pip install --system --pre .[dev] - name: Install any pre-releases of pystac run: uv pip install --system -U --pre pystac - name: Run pytest run: pytest -Werror -s --block-network upstream: name: upstream runs-on: ubuntu-latest if: github.event_name != 'pull_request' steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: 3.9 - name: Download uv run: curl -LsSf https://astral.sh/uv/install.sh | sh - name: Install run: uv pip install --system .[dev] - name: Install pystac from main run: uv pip install --system --force-reinstall git+https://github.com/stac-utils/pystac.git - name: Run pytest run: pytest -Werror -s --block-network dev-and-docs-requirements: name: dev and docs requirements check runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: 3.9 - name: Download uv run: curl -LsSf https://astral.sh/uv/install.sh | sh - name: Install geos run: sudo apt -y install libgeos-dev - name: Install run: uv pip install --system .[dev,docs] pystac-client-0.8.3/.github/workflows/release.yml000066400000000000000000000012331464746411700220560ustar00rootroot00000000000000name: Release on: push: tags: - "*" jobs: release: name: release runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python 3.11 uses: actions/setup-python@v5 with: python-version: "3.11" - name: Install release dependencies run: | python -m pip install --upgrade pip pip install build twine - name: Build and publish package env: TWINE_USERNAME: ${{ secrets.PYPI_STACUTILS_USERNAME }} TWINE_PASSWORD: ${{ secrets.PYPI_STACUTILS_PASSWORD }} run: | python -m build twine upload dist/* pystac-client-0.8.3/.gitignore000066400000000000000000000241361464746411700163150ustar00rootroot00000000000000.python-version **/*.private* # Ignore everything JetBrains .idea # Created by .ignore support plugin (hsz.mobi) ### VisualStudio template ## Ignore Visual Studio temporary files, build results, and ## files generated by popular Visual Studio add-ons. ## ## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore # User-specific files *.rsuser *.suo *.user *.userosscache *.sln.docstates # User-specific files (MonoDevelop/Xamarin Studio) *.userprefs # Mono auto generated files mono_crash.* # Build results [Dd]ebug/ [Dd]ebugPublic/ [Rr]elease/ [Rr]eleases/ x64/ x86/ [Ww][Ii][Nn]32/ [Aa][Rr][Mm]/ [Aa][Rr][Mm]64/ bld/ [Bb]in/ [Oo]bj/ [Ll]og/ [Ll]ogs/ # Visual Studio 2015/2017 cache/options directory .vs/ # Uncomment if you have tasks that create the project's static files in wwwroot #wwwroot/ # Visual Studio 2017 auto generated files Generated\ Files/ # MSTest test Results [Tt]est[Rr]esult*/ [Bb]uild[Ll]og.* # NUnit *.VisualState.xml TestResult.xml nunit-*.xml # Build Results of an ATL Project [Dd]ebugPS/ [Rr]eleasePS/ dlldata.c # Benchmark Results BenchmarkDotNet.Artifacts/ # .NET Core project.lock.json project.fragment.lock.json artifacts/ # ASP.NET Scaffolding ScaffoldingReadMe.txt # StyleCop StyleCopReport.xml # Files built by Visual Studio *_i.c *_p.c *_h.h *.ilk *.meta *.obj *.iobj *.pch *.pdb *.ipdb *.pgc *.pgd *.rsp *.sbr *.tlb *.tli *.tlh *.tmp *.tmp_proj *_wpftmp.csproj *.log *.vspscc *.vssscc .builds *.pidb *.svclog *.scc # Chutzpah Test files _Chutzpah* # Visual C++ cache files ipch/ *.aps *.ncb *.opendb *.opensdf *.sdf *.cachefile *.VC.db *.VC.VC.opendb # Visual Studio profiler *.psess *.vsp *.vspx *.sap # Visual Studio Trace Files *.e2e # TFS 2012 Local Workspace $tf/ # Guidance Automation Toolkit *.gpState # ReSharper is a .NET coding add-in _ReSharper*/ *.[Rr]e[Ss]harper *.DotSettings.user # TeamCity is a build add-in _TeamCity* # DotCover is a Code Coverage Tool *.dotCover # AxoCover is a Code Coverage Tool .axoCover/* !.axoCover/settings.json # Coverlet is a free, cross platform Code Coverage Tool coverage*.json coverage*.xml coverage*.info # Visual Studio code coverage results *.coverage *.coveragexml # NCrunch _NCrunch_* .*crunch*.local.xml nCrunchTemp_* # MightyMoose *.mm.* AutoTest.Net/ # Web workbench (sass) .sass-cache/ # Installshield output folder [Ee]xpress/ # DocProject is a documentation generator add-in DocProject/buildhelp/ DocProject/Help/*.HxT DocProject/Help/*.HxC DocProject/Help/*.hhc DocProject/Help/*.hhk DocProject/Help/*.hhp DocProject/Help/Html2 DocProject/Help/html # Click-Once directory publish/ # Publish Web Output *.[Pp]ublish.xml *.azurePubxml # Note: Comment the next line if you want to checkin your web deploy settings, # but database connection strings (with potential passwords) will be unencrypted *.pubxml *.publishproj # Microsoft Azure Web App publish settings. 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otherwise, check them in: # .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # pytype static type analyzer .pytype/ # Cython debug symbols cython_debug/ ### Linux template # temporary files which can be created if a process still has a handle open of a deleted file .fuse_hidden* # KDE directory preferences .directory # Linux trash folder which might appear on any partition or disk .Trash-* # .nfs files are created when an open file is removed but is still being accessed .nfs* ### Windows template # Windows thumbnail cache files Thumbs.db Thumbs.db:encryptable ehthumbs.db ehthumbs_vista.db # Dump file *.stackdump # Folder config file [Dd]esktop.ini # Recycle Bin used on file shares $RECYCLE.BIN/ # Windows Installer files *.cab *.msi *.msix *.msm *.msp # Windows shortcuts *.lnk pystac-client-0.8.3/.pre-commit-config.yaml000066400000000000000000000020371464746411700206020ustar00rootroot00000000000000# Configuration file for pre-commit (https://pre-commit.com/). # Please run `pre-commit run --all-files` when adding or changing entries. repos: - repo: https://github.com/charliermarsh/ruff-pre-commit rev: "v0.5.0" hooks: - id: ruff args: [--fix, --exit-non-zero-on-fix] - repo: https://github.com/psf/black rev: 24.4.2 hooks: - id: black - repo: https://github.com/codespell-project/codespell rev: v2.3.0 hooks: - id: codespell args: [--ignore-words=.codespellignore] types_or: [jupyter, markdown, python, shell] - repo: https://github.com/PyCQA/doc8 rev: v1.1.1 hooks: - id: doc8 args: [--ignore=D004] additional_dependencies: - importlib_metadata < 5; python_version == "3.7" - repo: https://github.com/pre-commit/mirrors-mypy rev: v1.10.1 hooks: - id: mypy files: ".*\\.py$" additional_dependencies: - pystac - pytest-vcr - types-requests - types-python-dateutil pystac-client-0.8.3/.readthedocs.yml000066400000000000000000000007351464746411700174120ustar00rootroot00000000000000# .readthedocs.yml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 build: os: ubuntu-22.04 tools: python: "mambaforge-22.9" # Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/conf.py # fail_on_warning: true # Optionally build your docs in additional formats such as PDF formats: - pdf - htmlzip conda: environment: docs/environment.yml pystac-client-0.8.3/CHANGELOG.md000066400000000000000000000527041464746411700161400ustar00rootroot00000000000000# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). ## [Unreleased] ## [v0.8.3] - 2024-07-01 ### Fixed - Actually set `timeout` when initializing `StacApiIO` [#709](https://github.com/stac-utils/pystac-client/pull/709) - Set `_stac_io` on `CollectionClient` when reading [#709](https://github.com/stac-utils/pystac-client/pull/709) ## [v0.8.2] - 2024-05-30 ### Added - Support for "Feature" type `intersects` dictionaries [#696](https://github.com/stac-utils/pystac-client/pull/696) ## [v0.8.1] - 2024-05-23 ### Fixed - Use singular `include` and `exclude` Field extension key names [#690](https://github.com/stac-utils/pystac-client/pull/690) ## [v0.8.0] - 2024-05-17 ### Fixed - Update `requires-python` in metadata to require >= 3.9 ([#684](https://github.com/stac-utils/pystac-client/pull/684)) - Interpret naive datetimes as UTC [#686](https://github.com/stac-utils/pystac-client/pull/686) ## [v0.7.7] - 2024-04-19 ### Changed - Updated to **pystac** v1.10.0 [#661](https://github.com/stac-utils/pystac-client/pull/661) - Use [uv](https://github.com/astral-sh/uv) for CI [#663](https://github.com/stac-utils/pystac-client/pull/663) - use `APILayoutStrategy` as fallback strategy [#666](https://github.com/stac-utils/pystac-client/pull/666) - Updated grammar in README [#676](https://github.com/stac-utils/pystac-client/pull/676) ### Fixed - Respect the `REQUESTS_CA_BUNDLE` and `CURL_CA_BUNDLE` environment variables when sending requests [#669](https://github.com/stac-utils/pystac-client/pull/669) ## [v0.7.6] - 2024-02-28 ### Fixed - Recursion error in `get_items` [#608](https://github.com/stac-utils/pystac-client/pull/608) - Fixes inconsistent behavior in `CollectionClient.get_items` when Item IDs are supplied [#639](https://github.com/stac-utils/pystac-client/pull/639) - Logic determining if `context.matched` in `ItemSearch.matched` response [#646](https://github.com/stac-utils/pystac-client/pull/646) ### Removed - Passing `-q` to the CLI rather than `--query` [#614](https://github.com/stac-utils/pystac-client/pull/614) ## [v0.7.5] - 2023-09-05 ### Fixed - `--matched` flag in CLI [#588](https://github.com/stac-utils/pystac-client/pull/588) ## [v0.7.4] - 2023-09-05 ### Changed - Don't provide a `limit` by default, trust the server to know its limits [#584](https://github.com/stac-utils/pystac-client/pull/584) ## [v0.7.3] - 2023-08-21 ### Changed - Raise more informative errors from CLI [#554](https://github.com/stac-utils/pystac-client/pull/554) - Add `Retry` type hint to `StacApiIO` [#577](https://github.com/stac-utils/pystac-client/pull/577) ### Fixed - Updated `get_items` signatures for PySTAC v1.8 [#559](https://github.com/stac-utils/pystac-client/pull/559), [#579](https://github.com/stac-utils/pystac-client/pull/579) ## [v0.7.2] - 2023-06-23 ### Fixed - Remove troublesome assertion [#549](https://github.com/stac-utils/pystac-client/pull/549) ## [v0.7.1] - 2023-06-13 ### Fixed - Remove unnecessary `typing_extensions` import [#541](https://github.com/stac-utils/pystac-client/pull/541) ## [v0.7.0] - 2023-06-12 ### Added - Timeout option added to `Client.open` [#463](https://github.com/stac-utils/pystac-client/pull/463), [#538](https://github.com/stac-utils/pystac-client/pull/538) - Support for fetching catalog queryables [#477](https://github.com/stac-utils/pystac-client/pull/477) - PySTAC Client specific warnings [#480](https://github.com/stac-utils/pystac-client/pull/480) - Support for fetching and merging a selection of queryables [#511](https://github.com/stac-utils/pystac-client/pull/511) - Better error messages for the CLI [#531](https://github.com/stac-utils/pystac-client/pull/531) - `Modifiable` to our public API [#534](https://github.com/stac-utils/pystac-client/pull/534) - `max_retries` parameter to `StacApiIO` [#532](https://github.com/stac-utils/pystac-client/pull/532) ### Changed - Switched to Ruff from isort/flake8 [#457](https://github.com/stac-utils/pystac-client/pull/457) - Move to `FutureWarning` from `DeprecationWarning` for item search interface functions that are to be removed [#464](https://github.com/stac-utils/pystac-client/pull/464) - Consolidate contributing docs into one place [#478](https://github.com/stac-utils/pystac-client/issues/478) - Use `pyproject.toml` instead of `setup.py` [#501](https://github.com/stac-utils/pystac-client/pull/501) - Enable Ruff import sorting [#518](https://github.com/stac-utils/pystac-client/pull/518) ### Fixed - `query` parameter in GET requests [#362](https://github.com/stac-utils/pystac-client/pull/362) - Double encoding of `intersects` parameter in GET requests [#362](https://github.com/stac-utils/pystac-client/pull/362) - Fix geometry instantiation in item-search-intersects.ipynb [#484](https://github.com/stac-utils/pystac-client/pull/484) - Three tests that were false positives due to out-of-date cassettes [#491](https://github.com/stac-utils/pystac-client/pull/491) - Max items checks when paging [#492](https://github.com/stac-utils/pystac-client/pull/492) - `ItemSearch.url_with_parameters` no longer unquotes the url [#530](https://github.com/stac-utils/pystac-client/pull/530) ### Removed - `pystac_client.conformance.CONFORMANCE_URIS` dictionary [#480](https://github.com/stac-utils/pystac-client/pull/480) ## [v0.6.1] - 2023-03-14 ### Changed - Bumped PySTAC dependency to >= 1.7.0 [#449](https://github.com/stac-utils/pystac-client/pull/449) ### Fixed - Fix parse fail when header has multiple '=' characters [#440](https://github.com/stac-utils/pystac-client/pull/440) - `Client.open` and `Client.from_file` now apply `headers`, etc to existing `stac_io` instances ([#439](https://github.com/stac-utils/pystac-client/pull/439)) ## [v0.6.0] - 2023-01-27 ### Added - Python 3.11 support [#347](https://github.com/stac-utils/pystac-client/pull/347) - `request_modifier` to `StacApiIO` to allow for additional authentication mechanisms (e.g. AWS SigV4) [#372](https://github.com/stac-utils/pystac-client/pull/372) - _Authentication_ tutorial, demonstrating how to use to the provided hooks to use both basic and AWS SigV4 authentication [#372](https://github.com/stac-utils/pystac-client/pull/372) - CI checks for Windows and MacOS [#378](https://github.com/stac-utils/pystac-client/pull/378) - Fallback to `STAC API - Item Search` when finding a single item in `CollectionClient` if `STAC API - Features` is not implemented [#379](https://github.com/stac-utils/pystac-client/pull/379) ### Fixed - Stop iteration on an empty page [#338](https://github.com/stac-utils/pystac-client/pull/338) - Some mishandled cases for datetime intervals [#363](https://github.com/stac-utils/pystac-client/pull/363) - Collection requests when the Client's url ends in a '/' [#373](https://github.com/stac-utils/pystac-client/pull/373), [#405](https://github.com/stac-utils/pystac-client/pull/405) - Parse datetimes more strictly [#364](https://github.com/stac-utils/pystac-client/pull/364) ### Removed - Python 3.7 support [#347](https://github.com/stac-utils/pystac-client/pull/347) ## [v0.5.1] - 2022-09-19 ### Added - Added `ItemSearch.url_with_parameters` to get a formatted search url [#304](https://github.com/stac-utils/pystac-client/issues/304) ### Fixed - Fix variable name in quickstart example [#316](https://github.com/stac-utils/pystac-client/pull/316) - `StacApiIO.write_text_to_href` [#312](https://github.com/stac-utils/pystac-client/pull/312) - Removed mention of STAC_URL in `Client.open` docstring [#317](https://github.com/stac-utils/pystac-client/pull/317) ## [v0.5.0] - 2022-08-19 ### Added - Added a new keyword `modifier` to various constructors like `Client.open()` [#259](https://github.com/stac-utils/pystac-client/issues/259) ### Fixed - Fix type annotation of `Client._stac_io` and avoid implicit re-exports in `pystac_client.__init__.py` [#249](https://github.com/stac-utils/pystac-client/pull/249) - Added `ItemSearch.pages`, `ItemSearch.pages_as_dicts`, `ItemSearch.item_collection`, and `ItemSearch.item_collection_as_dict` as replacements for various deprecated methods [#237](https://github.com/stac-utils/pystac-client/issues/237) - Restored the previous behavior of `Client.search()` to return an unlimited number of items by default. [#273](https://github.com/stac-utils/pystac-client/pull/273) ### Deprecated - `ItemSearch.item_collections` has been deprecated in favor of `ItemSearch.pages`. [#237](https://github.com/stac-utils/pystac-client/issues/237) ## [v0.4.0] - 2022-06-08 ### Added - Significantly improved type hints - lru_cache to several methods [#167](https://github.com/stac-utils/pystac-client/pull/167) - Direct item GET via ogcapi-features, if conformant [#166](https://github.com/stac-utils/pystac-client/pull/166) - `py.typed` for downstream type checking [#163](https://github.com/stac-utils/pystac-client/pull/163) - Added tutorial for using various geometry objects (e.g., shapely, geojson) as an Item Search intersects argument [#232](https://github.com/stac-utils/pystac-client/pull/232) ### Changed - Item Search no longer defaults to returning an unlimited number of result Items from its "items" methods. The `max_items` parameter now defaults to 100 instead of None. Since the `limit` parameter also defaults to 100, in an ideal situation, only one request will be made to the server to retrieve all 100 items. Both of these parameters can be carefully adjusted upwards to align with the server's capabilities and the expected number of search results. [#208](https://github.com/stac-utils/pystac-client/pull/208) - Better error message when trying to search a non-item-search-conforming catalog [#164](https://github.com/stac-utils/pystac-client/pull/164) - Search `filter-lang` defaults to `cql2-json` instead of `cql-json` [#169](https://github.com/stac-utils/pystac-client/pull/169) - Search `filter-lang` will be set to `cql2-json` if the `filter` is a dict, or `cql2-text` if it is a string [#169](https://github.com/stac-utils/pystac-client/pull/169) - Search parameter `intersects` is now typed to only accept a str, dict, or object that implements `__geo_interface__` [#174](https://github.com/stac-utils/pystac-client/pull/174) - Better error message when trying to open a Collection with `Client.open` [#222](https://github.com/stac-utils/pystac-client/pull/222) ### Deprecated - Item Search methods `get_items()` and `get_item_collections()` have been renamed to `items()` and `item_collections()`. The original methods are now deprecated and may be removed as early as v0.5.0. [#206](https://github.com/stac-utils/pystac-client/pull/206) - Item Search methods `get_all_items()` and `get_all_items_as_dict()` are now deprecated, and may be removed as early as v0.5.0. These have been deprecated because they have the potential to perform a large number of requests to the server and instantiate a large number of objects in memory. To a user, this is only visible as a large delay in the method call and/or the exhaustion of all available memory. The iterator methods `items()` or `item_collections()` should be used instead. [#206](https://github.com/stac-utils/pystac-client/pull/206) - CLI parameter `-q` is now deprecated and may be removed as early as v0.5.0. Use `--query` instead. [#215](https://github.com/stac-utils/pystac-client/pull/215) ## Removed - Client parameter `require_geojson_link` has been removed. [#165](https://github.com/stac-utils/pystac-client/pull/165) ### Fixed - Search query parameter now has correct typing and handles Query Extension JSON format. [#220](https://github.com/stac-utils/pystac-client/pull/220) - Search sortby parameter now has correct typing and handles both GET and POST JSON parameter formats. [#175](https://github.com/stac-utils/pystac-client/pull/175) - Search fields parameter now has correct typing and handles both GET and POST JSON parameter formats. [#184](https://github.com/stac-utils/pystac-client/pull/184) - Use pytest configuration to skip benchmarks by default (instead of a `skip` mark). [#168](https://github.com/stac-utils/pystac-client/pull/168) - Methods retrieving collections incorrectly checked the existence of the OAFeat OpenAPI 3.0 conformance class () instead of the `STAC API - Collections` () or `STAC API - Features` () conformance classes. [223](https://github.com/stac-utils/pystac-client/pull/223) ## [v0.3.5] - 2022-05-26 ### Fixed - Search against earth-search v0 failed with message "object of type 'Link' has no len()" [#179](https://github.com/stac-utils/pystac-client/pull/179) ## [v0.3.4] - 2022-05-18 ### Changed - Relaxed media type requirement for search links [#160](https://github.com/stac-utils/pystac-client/pull/160), [#165](https://github.com/stac-utils/pystac-client/pull/165) ## [v0.3.3] - 2022-04-28 ### Added - Add `--filter-lang` parameter to allow specifying other filter language to be used within the `--filter` parameter [#140](https://github.com/stac-utils/pystac-client/pull/140) - CI checks against minimum versions of all dependencies and any pre-release versions of PySTAC [#144](https://github.com/stac-utils/pystac-client/pull/144) ### Changed - Relaxed upper bound on PySTAC dependency [#144](https://github.com/stac-utils/pystac-client/pull/144) - Bumped PySTAC dependency to >= 1.4.0 [#147](https://github.com/stac-utils/pystac-client/pull/147) ## [v0.3.2] - 2022-01-11 ### Added - `Client.search` accepts an optional `filter_lang` argument for `filter` requests [#128](https://github.com/stac-utils/pystac-client/pull/128) - Added support for filtering the search endpoint using the `media_type` in `Client.open` [#142](https://github.com/stac-utils/pystac-client/pull/142) ### Fixed - Values from `parameters` and `headers` arguments to `Client.open` and `Client.from_file` are now also used in requests made from `CollectionClient` instances fetched from the same API ([#126](https://github.com/stac-utils/pystac-client/pull/126)) - The tests folder is no longer installed as a package. ## [v0.3.1] - 2021-11-17 ### Added - Adds `--block-network` option to all test commands to ensure no network requests are made during unit tests [#119](https://github.com/stac-utils/pystac-client/pull/119) - `parameters` argument to `StacApiIO`, `Client.open`, and `Client.from_file` to allow query string parameters to be passed to all requests [#118](https://github.com/stac-utils/pystac-client/pull/118) ### Changed - Update min PySTAC version to 1.2 - Default page size limit set to 100 rather than relying on the server default - Fetch single collection directly from endpoint in API rather than iterating through children [Issue #114](https://github.com/stac-utils/pystac-client/issues/114) ### Fixed - `Client.get_collections` raised an exception when API did not publish `/collections` conformance class instead of falling back to using child links [#120](https://github.com/stac-utils/pystac-client/pull/120) ## [v0.3.0] - 2021-09-28 ### Added - Jupyter Notebook tutorials - Basic CQL-JSON filtering [#100](https://github.com/stac-utils/pystac-client/pull/100) ### Changed - Improved performance when constructing `pystac.ItemCollection` objects. - Relax `requests` dependency [#87](https://github.com/stac-utils/pystac-client/pull/87) - Use regular expressions for checking conformance classes [#97](https://github.com/stac-utils/pystac-client/pull/97) - Reorganized documentation, updated all docs ### Fixed - `ItemSearch` now correctly handles times without a timezone specifier [#92](https://github.com/stac-utils/pystac-client/issues/92) - queries including `gsd` cast to string to float when using shortcut query syntax (i.e., "key=val" strings). [#98](https://github.com/stac-utils/pystac-client/pull/97) - Documentation lints [#108](https://github.com/stac-utils/pystac-client/pull/108) ## [v0.2.0] - 2021-08-04 ### Added - `Client.open` falls back to the `STAC_URL` environment variable if no url is provided as an argument [#48](https://github.com/stac-utils/pystac-client/pull/48) - New Search.get_pages() iterator function to retrieve pages as raw JSON, not as ItemCollections - `StacApiIO` class added, subclass from PySTAC `StacIO`. A `StacApiIO` instance is used for all IO for a Client instance, and all requests are in a single HTTP session, handle pagination and respects conformance - `conformance.CONFORMANCE_CLASSES` dictionary added containing all STAC API Capabilities from stac-api-spec - `collections` subcommand to CLI, for saving all Collections in catalog as JSON - `Client.get_collections` overrides Catalog to use /collections endpoint if API conforms - `Client.get_collection()` for getting specific collection - `Client.get_items` and `Client.get_all_items` override Catalog functions to use search endpoint instead of traversing catalog ### Changed - Update to use PySTAC 1.1.0 - IO changed to use PySTAC's new StacIO base class. - `Search.item_collections()` renamed to `Search.get_item_collections()` - `Search.item()` renamed to `Search.get_items()` - Conformance is checked by each individual function that requires a particular conformance - STAC API testing URLs changed to updated APIs - `ItemSearch.get_pages()` function moved to StacApiIO class for general use - Logging is now enabled in the CLI in all cases. If data are being printed to stdout, logging goes to stderr. [#79](https://github.com/stac-utils/pystac-client/pull/79) - Improved logging for GET requests (prints encoded URL) ### Removed - `get_pages` and `simple_stac_resolver` functions from `pystac_client.stac_io` (The new StacApiIO class understands `Link` objects) - `Client.search()` no longer accepts a `next_resolver` argument - pystac.extensions modules, which were based on PySTAC's previous extension implementation, replaced in 1.0.0 - `stac_api_object.StacApiObjectMixin`, replaced with conformance checking in `StacApiIO` - PySTAC Collection objects can no longer be passed in as `collections` arguments to the `ItemSearch` class (just pass ids) - `Catalog.get_collection_list` (was alias to `get_child_links`) because made assumption about this being an API only. Also redundant with `Catalog.get_collections` - `Search.item_collections()` - `Search.items()` - STAC_URL environment variable in Client.open(). url parameter in Client is now required - STAC_URL environment variable in CLI. CLI now has a required positional argument for the URL ### Fixed - Running `stac-client` with no arguments no longer raises a confusing exception [#52](https://github.com/stac-utils/pystac-client/pull/52) - `Client.get_collections_list` [#44](https://github.com/stac-utils/pystac-client/issues/44) - The regular expression used for datetime parsing [#59](https://github.com/stac-utils/pystac-client/pull/59) - `Client.from_file` now works as expected, using `Client.open` is not required, although it will fetch STAC_URL from an envvar ## [v0.1.1] - 2021-04-16 ### Added - `ItemSearch.items_as_collection` [#37](https://github.com/stac-utils/pystac-client/pull/37) - Documentation [published on ReadTheDocs](https://pystac-client.readthedocs.io/en/latest/) [#46](https://github.com/stac-utils/pystac-client/pull/46) ### Changed - CLI: pass in headers as list of KEY=VALUE pairs ### Fixed - Include headers in STAC_IO [#38](https://github.com/stac-utils/pystac-client/pull/38) - README updated to reflect actual CLI behavior ## [v0.1.0] - 2021-04-14 Initial release. [Unreleased]: https://github.com/stac-utils/pystac-client/compare/v0.8.3...main [v0.8.3]: https://github.com/stac-utils/pystac-client/compare/v0.8.2...v0.8.3 [v0.8.2]: https://github.com/stac-utils/pystac-client/compare/v0.8.1...v0.8.2 [v0.8.1]: https://github.com/stac-utils/pystac-client/compare/v0.8.0...v0.8.1 [v0.8.0]: https://github.com/stac-utils/pystac-client/compare/v0.7.7...v0.8.0 [v0.7.7]: https://github.com/stac-utils/pystac-client/compare/v0.7.6...v0.7.7 [v0.7.6]: https://github.com/stac-utils/pystac-client/compare/v0.7.5...v0.7.6 [v0.7.5]: https://github.com/stac-utils/pystac-client/compare/v0.7.4...v0.7.5 [v0.7.4]: https://github.com/stac-utils/pystac-client/compare/v0.7.3...v0.7.4 [v0.7.3]: https://github.com/stac-utils/pystac-client/compare/v0.7.2...v0.7.3 [v0.7.2]: https://github.com/stac-utils/pystac-client/compare/v0.7.1...v0.7.2 [v0.7.1]: https://github.com/stac-utils/pystac-client/compare/v0.7.0...v0.7.1 [v0.7.0]: https://github.com/stac-utils/pystac-client/compare/v0.6.1...v0.7.0 [v0.6.1]: https://github.com/stac-utils/pystac-client/compare/v0.6.0...v0.6.1 [v0.6.0]: https://github.com/stac-utils/pystac-client/compare/v0.5.1...v0.6.0 [v0.5.1]: https://github.com/stac-utils/pystac-client/compare/v0.5.0...v0.5.1 [v0.5.0]: https://github.com/stac-utils/pystac-client/compare/v0.4.0...v0.5.0 [v0.4.0]: https://github.com/stac-utils/pystac-client/compare/v0.3.5...v0.4.0 [v0.3.5]: https://github.com/stac-utils/pystac-client/compare/v0.3.4...v0.3.5 [v0.3.4]: https://github.com/stac-utils/pystac-client/compare/v0.3.3...v0.3.4 [v0.3.3]: https://github.com/stac-utils/pystac-client/compare/v0.3.2...v0.3.3 [v0.3.2]: https://github.com/stac-utils/pystac-client/compare/v0.3.1...v0.3.2 [v0.3.1]: https://github.com/stac-utils/pystac-client/compare/v0.3.0...v0.3.1 [v0.3.0]: https://github.com/stac-utils/pystac-client/compare/v0.2.0...v0.3.0 [v0.2.0]: https://github.com/stac-utils/pystac-client/compare/v0.1.1...v0.2.0 [v0.1.1]: https://github.com/stac-utils/pystac-client/compare/v0.1.0...v0.1.1 [v0.1.0]: https://github.com/stac-utils/pystac-client/tree/v0.1.0 pystac-client-0.8.3/LICENSE000066400000000000000000000010511464746411700153210ustar00rootroot00000000000000Copyright 2021 Jon Duckworth Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. pystac-client-0.8.3/MANIFEST.in000066400000000000000000000000271464746411700160540ustar00rootroot00000000000000global-include *.typed pystac-client-0.8.3/README.md000066400000000000000000000030561464746411700156020ustar00rootroot00000000000000# STAC Client [![CI](https://github.com/stac-utils/pystac-client/actions/workflows/continuous-integration.yml/badge.svg)](https://github.com/stac-utils/pystac-client/actions/workflows/continuous-integration.yml) [![Release](https://github.com/stac-utils/pystac-client/actions/workflows/release.yml/badge.svg)](https://github.com/stac-utils/pystac-client/actions/workflows/release.yml) [![PyPI version](https://badge.fury.io/py/pystac-client.svg)](https://badge.fury.io/py/pystac-client) [![Documentation](https://readthedocs.org/projects/pystac-client/badge/?version=stable)](https://pystac-client.readthedocs.io) [![codecov](https://codecov.io/gh/stac-utils/pystac-client/branch/main/graph/badge.svg)](https://codecov.io/gh/stac-utils/pystac-client) A Python client for working with [STAC](https://stacspec.org/) Catalogs and APIs. ## Table of Contents - [Table of Contents](#table-of-contents) - [Installation](#installation) - [Documentation](#documentation) - [Development](#development) ## Installation Install from PyPi. Other than [PySTAC](https://pystac.readthedocs.io) itself, the only dependencies for pystac-client are the Python [requests](https://docs.python-requests.org) and [dateutil](https://dateutil.readthedocs.io) libraries. ```shell pip install pystac-client ``` ## Documentation See the [documentation page](https://pystac-client.readthedocs.io/en/latest/) for the latest docs. ## Development See the [contributing page](https://pystac-client.readthedocs.io/en/latest/contributing.html) for the latest development instructions. pystac-client-0.8.3/RELEASING.md000066400000000000000000000026241464746411700161560ustar00rootroot00000000000000# Releasing 1. Determine the next version. We follow [semantic versioning](https://semver.org/). 2. Create a release branch named `release/vX.Y.Z`, where `X.Y.Z` is the next version. 3. Update [version.py](pystac_client/version.py) with the new version. 4. Update all cassettes: `pytest --record-mode rewrite` 5. Update the pre-commit hook versions: `pre-commit autoupdate` 6. Update [CHANGELOG.md](CHANGELOG.md). 1. Add a new header under "Unreleased" with the new version and the date, e.g. `## [vX.Y.Z] - YYYY-MM-DD`. 2. Audit the changelog section to ensure all changes are captured. 3. Add a link reference for the new version after the Unreleased link reference at the bottom of the file. Follow the format from the previous version links. 7. If necessary, update the versions table in [the documentation](docs/index.rst) 8. (optional) Build the package locally and inspect its contents: `pip install build && python -m build` 9. Open a pull request for your `release/vX.Y.Z` branch against the appropriate branch (either `main` or a version branch, e.g. `v0.3`). 10. After pull request merge, create an annotated tag for your version, e.g. `git tag -a vX.Y.Z`. 11. Push the tag. This will trigger [the Github release workflow](.github/workflows/release.yml) and publish to PyPI. 12. 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It is mostly useful as a reference for the various classes, methods, and other objects in the library, but is not intended to function as a starting point for working with ``pystac_client``. Client ------ Client is the base PySTAC-Client that inherits from :class:`Catalog `. In addition to the PySTAC functionality, Client allows opening of API URLs, understanding of conformance, and support for searching and paging through results. .. autoclass:: pystac_client.Client :members: :undoc-members: :show-inheritance: Collection Client ----------------- Client is the a PySTAC-Client that inherits from :class:`Collection `. In addition to the PySTAC functionality, CollectionClient allows opening of API URLs, and iterating through items at a search endpoint, if supported. .. autoclass:: pystac_client.CollectionClient :members: :undoc-members: Item Search ----------- The `ItemSearch` class represents a search of a STAC API. .. autoclass:: pystac_client.ItemSearch :members: :undoc-members: :member-order: bysource STAC API IO ----------- The StacApiIO class inherits from the :class:`Collection ` class and allows for reading over http, such as with REST APIs. .. autoclass:: pystac_client.stac_api_io.StacApiIO :members: :undoc-members: :show-inheritance: Conformance ----------- .. automodule:: pystac_client.conformance :members: :undoc-members: :show-inheritance: Exceptions ---------- .. automodule:: pystac_client.exceptions :members: :undoc-members: :show-inheritance: Warnings -------- .. automodule:: pystac_client.warnings :members: :undoc-members: :show-inheritance: pystac-client-0.8.3/docs/conf.py000066400000000000000000000101741464746411700165510ustar00rootroot00000000000000# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html import re import subprocess import sys from pathlib import Path from typing import List # -- Path setup -------------------------------------------------------------- # 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. # sys.path.insert(0, str(Path(__file__).parent.parent.parent.resolve())) from pystac_client import __version__ # noqa: E402 git_branch = ( subprocess.check_output(["git", "rev-parse", "--abbrev-ref", "HEAD"]) .decode("utf-8") .strip() ) # -- Project information ----------------------------------------------------- project = "pystac-client" copyright = "2021, Jon Duckworth" author = "Matthew Hanson, Jon Duckworth" github_user = "stac-utils" github_repo = "pystac-client" package_description = "A Python client for the STAC and STAC-API specs" # The full version, including alpha/beta/rc tags version = re.fullmatch(r"^(\d+\.\d+\.\d).*$", __version__).group(1) # type: ignore release = __version__ # -- General configuration --------------------------------------------------- # 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.autodoc", "sphinx.ext.viewcode", "sphinx.ext.intersphinx", "sphinx.ext.napoleon", "sphinx.ext.extlinks", "sphinxcontrib.fulltoc", "nbsphinx", "myst_parser", ] extlinks = { "tutorial": ( "https://github.com/stac-utils/pystac-client/" "tree/{}/docs/tutorials/%s".format(git_branch), "tutorial", ) } nbsphinx_allow_errors = False # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. source_suffix = [".rst", "*.md", "*.ipynb"] exclude_patterns = ["build/*"] # -- 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 = "pydata_sphinx_theme" # 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 = { "icon_links": [ { "name": "GitHub", "url": "https://github.com/stac-utils/pystac-client", "icon": "fab fa-github-square", }, { "name": "Gitter", "url": "https://gitter.im/SpatioTemporal-Asset-Catalog/" "python?utm_source=share-link&utm_medium=link&utm_campaign=share-link", "icon": "fab fa-gitter", }, ], "external_links": [ {"name": "STAC Spec", "url": "https://github.com/radiantearth/stac-spec"} ], "navigation_with_keys": False, # "navbar_end": ["navbar-icon-links.html", "search-field.html"] } html_logo = "_static/STAC-03.png" # 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: List[str] = ["_static"] # -- Options for intersphinx extension --------------------------------------- intersphinx_mapping = { "python": ("https://docs.python.org/3", None), "requests": ("https://requests.readthedocs.io/en/latest", None), "pystac": ("https://pystac.readthedocs.io/en/latest", None), "dateutil": ("https://dateutil.readthedocs.io/en/stable/", None), } # -- Options for autodoc extension ------------------------------------------- autodoc_typehints = "none" pystac-client-0.8.3/docs/contributing.rst000066400000000000000000000161531464746411700205160ustar00rootroot00000000000000Contributing ============ A list of issues and ongoing work is available on the PySTAC Client `issues page `_. If you want to contribute code, the best way is to coordinate with the core developers via an issue or pull request conversation. Development installation ^^^^^^^^^^^^^^^^^^^^^^^^ Fork PySTAC Client into your GitHub account. Clone the repo, install the library as an "editable link", then install the development dependencies: .. code-block:: bash $ git clone git@github.com:your_user_name/pystac-client.git $ cd pystac-client $ pip install -e '.[dev]' Testing ^^^^^^^ tl;dr: Run ``./scripts/test`` to run all tests and linters. PySTAC Client runs tests using `pytest `_. You can find unit tests in the ``tests/`` directory. To run the tests and generate the coverage report: .. code-block:: bash $ pytest -v -s --block-network --cov pystac_client --cov-report term-missing The PySTAC Client tests use `vcrpy `_ to mock API calls with "pre-recorded" API responses. When adding new tests use the ``@pytest.mark.vcr`` decorator function to indicate ``vcrpy`` should be used. Record the new responses and commit them to the repository. .. code-block:: bash $ pytest -v -s --record-mode new_episodes $ git add $ git commit -a -m 'new test episodes' To update PySTAC Client to use future versions of STAC API, the existing recorded API responses should be "re-recorded": .. code-block:: bash $ pytest -v -s --record-mode rewrite --block-network $ git commit -a -m 'updated test episodes' Code quality checks ^^^^^^^^^^^^^^^^^^^ `pre-commit `_ is used to ensure a standard set of formatting and linting is run before every commit. These hooks should be installed with: .. code-block:: bash $ pre-commit install These can then be run independent of a commit with: .. code-block:: bash $ pre-commit run --all-files PySTAC Client uses - `black `_ for Python code formatting - `codespell `_ to check code for common misspellings - `doc8 `_ for style checking on RST files in the docs - `ruff `_ for Python style checks - `mypy `_ for Python type annotation checks Once installed you can bypass pre-commit by adding the ``--no-verify`` (or ``-n``) flag to Git commit commands, as in ``git commit --no-verify``. Pull Requests ^^^^^^^^^^^^^ To make Pull Requests to PySTAC Client, the code must pass linting, formatting, and code tests. To run the entire suit of checks and tests that will be run the GitHub Action Pipeline, use the ``test`` script. .. code-block:: bash $ scripts/test If automatic formatting is desired (incorrect formatting will cause the GitHub Action to fail), use the format script and commit the resulting files: .. code-block:: bash $ scripts/format $ git commit -a -m 'formatting updates' To build the documentation, `install Pandoc `_, install the Python documentation requirements via pip, then use the ``build-docs`` script: .. code-block:: bash $ pip install -e '.[docs]' $ scripts/build-docs CHANGELOG ^^^^^^^^^ PySTAC Client maintains a `changelog `_ to track changes between releases. All Pull Requests should make a changelog entry unless the change is trivial (e.g. fixing typos) or is entirely invisible to users who may be upgrading versions (e.g. an improvement to the CI system). For changelog entries, please link to the PR of that change. This needs to happen in a few steps: - Make a Pull Request (see above) to PySTAC Client with your changes - Record the link to the Pull Request - Push an additional commit to your branch with the changelog entry with the link to the Pull Request. For more information on changelogs and how to write a good entry, see `keep a changelog `_. Benchmark ^^^^^^^^^ By default, PySTAC Client benchmarks are skipped during test runs. To run the benchmarks, use the ``--benchmark-only`` flag: .. code-block:: bash $ pytest --benchmark-only ============================= test session starts ============================== platform darwin -- Python 3.9.13, pytest-6.2.4, py-1.10.0, pluggy-0.13.1 benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000) rootdir: /Users/gadomski/Code/pystac-client, configfile: pytest.ini plugins: benchmark-3.4.1, recording-0.11.0, console-scripts-1.1.0, requests-mock-1.9.3, cov-2.11.1, typeguard-2.13.3 collected 75 items tests/test_cli.py ss [ 2%] tests/test_client.py ssssssssssssssss [ 24%] tests/test_collection_client.py ss [ 26%] tests/test_item_search.py ...sssssssssssssssssssssssssssssssssssssssssss [ 88%] s [ 89%] tests/test_stac_api_io.py ssssssss [100%] --------------------------------------------------------------------------------------- benchmark: 3 tests -------------------------------------------------------------------------------------- Name (time in ms) Min Max Mean StdDev Median IQR Outliers OPS Rounds Iterations ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- test_single_item_search 213.4729 (1.0) 284.8732 (1.0) 254.9405 (1.0) 32.9424 (3.27) 271.0926 (1.0) 58.2907 (4.95) 1;0 3.9225 (1.0) 5 1 test_single_item 314.6746 (1.47) 679.7592 (2.39) 563.9692 (2.21) 142.7451 (14.18) 609.5605 (2.25) 93.9942 (7.98) 1;1 1.7731 (0.45) 5 1 test_requests 612.9212 (2.87) 640.5024 (2.25) 625.6871 (2.45) 10.0637 (1.0) 625.1143 (2.31) 11.7822 (1.0) 2;0 1.5982 (0.41) 5 1 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Legend: Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile. OPS: Operations Per Second, computed as 1 / Mean ======================== 3 passed, 72 skipped in 11.86s ======================== For more information on running and comparing benchmarks, see the `pytest-benchmark documentation `_. pystac-client-0.8.3/docs/design/000077500000000000000000000000001464746411700165205ustar00rootroot00000000000000pystac-client-0.8.3/docs/design/0001-record-architecture-decisions.md000066400000000000000000000007451464746411700253420ustar00rootroot00000000000000# 1. Record architecture decisions Date: 2021-03-01 ## Status Accepted ## Context We need to record the architectural decisions made on this project. ## Decision We will use Architecture Decision Records, as [described by Michael Nygard](http://thinkrelevance.com/blog/2011/11/15/documenting-architecture-decisions). ## Consequences See Michael Nygard's article, linked above. For a lightweight ADR toolset, see Nat Pryce's [adr-tools](https://github.com/npryce/adr-tools). pystac-client-0.8.3/docs/design/0002-choose-stac-library.md000066400000000000000000000060371464746411700233010ustar00rootroot00000000000000# 2. Choose STAC library Date: 2021-03-01 ## Status Accepted ## Context We would like to use an existing Python library for working with STAC objects as Python objects. Ideally this library will meet the following requirements: * **Actively maintained** to ensure that it is up-to-date with the latest STAC spec * **Well-documented** to reduce the documentation burden for this library * **Easily extensible** to allow us to take advantage of existing STAC object functionality The 2 most obvious choices for Python STAC clients are [`PySTAC`](https://github.com/stac-utils/pystac) and [`sat-stac`](https://github.com/sat-utils/sat-stac). ### `PySTAC` `PySTAC` is an actively maintained STAC client for Python 3. Its last release was less than 2 months ago and its last commit was less than 2 weeks ago. It has had 15 contributors within the last year and it supports the latest release candidate for the STAC spec (as well as previous releases). `PySTAC` hosts [documentation on ReadTheDocs](https://pystac.readthedocs.io/en/latest/) that includes a description of programming concepts related to the library, quickstart instructions, tutorials, and an API reference. `PySTAC` supports both reading and writing of STAC objects. Extending `PySTAC` classes through inheritance is made a bit more difficult by the fact that some class methods (like ``from_dict``) have references to specific classes (like ``Catalog``) rather than using the ``cls`` argument. This will require us to overwrite some of these methods to implement inheritance. It has robust support for traversing catalogs using links. There is no existing support for the STAC API spec in `PySTAC` or any related tooling. ### `sat-stac` `sat-stac` is an actively maintained STAC client for Python 3. Its last release was less than 2 months ago and its last commit was at that same time. It has had 2 contributors within the last year and it supports the latest release candidate for the STAC spec (as well as previous releases). `sat-stac` has installation documented in the GitHub repo's main README and has 2 tutorials in the form of Jupyter Notebooks in that repo. `sat-stac` supports reading STAC catalogs (support for writing STAC catalogs was removed in v0.4.0). There is also an existing library for working with STAC API - Item Search results called [sat-search](https://github.com/sat-utils/sat-search) that uses `sat-stac` as its backend. ## Decision We will use `PySTAC` as our "backend" for working with STAC objects in Python. While both libraries are well-maintained, `PySTAC` has more thorough documentation and seems to be more widely supported through community contribution. ## Consequences We will need to create our own implementation of a STAC API - Item Search client since there is not existing tooling based on `PySTAC`. We will be able to point to the hosted documentation for `PySTAC` to guide users through existing functionality for navigating STAC Catalogs. Special care should be taken to ensure that we do not break any of `PySTAC`'s functionality through inheritance. pystac-client-0.8.3/docs/design/design_decisions.rst000066400000000000000000000005371464746411700225700ustar00rootroot00000000000000Design Decisions ================ `Architectural Design Records (ADRs) `__ for major design decisions related to the library. 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You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. PySTAC Client Documentation =========================== The STAC Python Client (``pystac_client``) is a Python package for working with STAC Catalogs and APIs that conform to the `STAC `__ and `STAC API `__ specs in a seamless way. PySTAC Client builds upon PySTAC through higher-level functionality and ability to leverage STAC API search endpoints. STAC Versions ============= +---------------+-----------+-----------------------------+ | pystac-client | STAC spec | STAC API Spec | +===============+===========+=============================+ | 0.8.x | 1.0.x | 1.0.0-beta.1 - 1.0.0 | + --------------+-----------+-----------------------------+ | 0.7.x | 1.0.x | 1.0.0-beta.1 - 1.0.0 | +---------------+-----------+-----------------------------+ | 0.6.x | 1.0.x | 1.0.0-beta.1 - 1.0.0-rc.2 | +---------------+-----------+-----------------------------+ | 0.5.x | 1.0.x | 1.0.0-beta.1 - 1.0.0-rc.1 | +---------------+-----------+-----------------------------+ | 0.4.x | 1.0.x | 1.0.0-beta.1 - 1.0.0-rc.1 | +---------------+-----------+-----------------------------+ | 0.3.x | 1.0.x | 1.0.0-beta.1 - 1.0.0-beta.4 | +---------------+-----------+-----------------------------+ | 0.2.x | 1.0.x | 1.0.0-beta.1 - 1.0.0-beta.2 | +---------------+-----------+-----------------------------+ Installation ------------ .. code-block:: console $ pip install pystac-client ``pystac_client`` requires `Python >=3.8 `__. This will install the dependencies :doc:`PySTAC `, :doc:`python-dateutil `, and :doc:`requests `. Acknowledgements ---------------- This package builds upon the great work of the PySTAC library for working with STAC objects in Python. It also uses concepts from the `sat-search `__ library for working with STAC API search endpoints. Table of Contents ----------------- .. toctree:: :maxdepth: 2 quickstart usage api tutorials contributing design/design_decisions pystac-client-0.8.3/docs/quickstart.rst000066400000000000000000000104221464746411700201720ustar00rootroot00000000000000Quickstart ---------- pystac-client can be used as either a Command Line Interface (CLI) or a Python library. CLI ~~~ Use the CLI to quickly make searches and output or save the results. The ``--matched`` switch performs a search with limit=1 so does not get any Items, but gets the total number of matches which will be output to the screen (if supported by the STAC API). .. code-block:: console $ stac-client search https://earth-search.aws.element84.com/v1 -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --matched 3141 items matched If the same URL is to be used over and over, define an environment variable to be used in the CLI call: .. code-block:: console $ export STAC_API_URL=https://earth-search.aws.element84.com/v1 $ stac-client search ${STAC_API_URL} -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --datetime 2020-01-01/2020-01-31 --matched 48 items matched Without the ``--matched`` switch, all items will be fetched, paginating if necessary. If the ``--max-items`` switch is provided it will stop paging once that many items has been retrieved. It then prints all items to stdout as an ItemCollection. This can be useful to pipe output to another process such as `stac-terminal `__, `geojsonio-cli `__, or `jq `__. .. code-block:: console $ stac-client search ${STAC_API_URL} -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --datetime 2020-01-01/2020-01-31 | stacterm cal --label platform .. figure:: images/stacterm-cal.png :alt: If the ``--save`` switch is provided instead, the results will not be output to stdout, but instead will be saved to the specified file. .. code-block:: console $ stac-client search ${STAC_API_URL} -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --datetime 2020-01-01/2020-01-31 --save items.json If the Catalog supports the `Query extension `__, any Item property can also be included in the search. Rather than requiring the JSON syntax the Query extension uses, pystac-client uses a simpler syntax that it will translate to the JSON equivalent. Note however that when the simple syntax is used it sends all property values to the server as strings, except for ``gsd`` which it casts to ``float``. This means that if there are extensions in use with numeric properties these will be sent as strings. Some servers may automatically cast this to the appropriate data type, others may not. The query filter will also accept complete JSON as per the specification. :: where operator is one of `>=`, `<=`, `>`, `<`, `=` Examples: eo:cloud_cover<10 created=2021-01-06 view:sun_elevation<20 Any number of properties can be included, and each can be included more than once to use additional operators. .. code-block:: console $ stac-client search ${STAC_API_URL} -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --datetime 2020-01-01/2020-01-31 ---query "eo:cloud_cover<10" --matched 10 items matched .. code-block:: console $ stac-client search ${STAC_API_URL} -c sentinel-2-l2a --bbox -72.5 40.5 -72 41 --datetime 2020-01-01/2020-01-31 --query "eo:cloud_cover<10" "eo:cloud_cover>5" --matched 4 items matched Python ~~~~~~ To use the Python library, first a Client instance is created for a specific STAC API (use the root URL): .. code-block:: python from pystac_client import Client client = Client.open("https://earth-search.aws.element84.com/v1") Create a search: .. code-block:: python search = client.search( max_items=10, collections=['sentinel-2-l2a'], bbox=[-72.5,40.5,-72,41] ) print(f"{search.matched()} items found") The ``items()`` iterator method can be used to iterate through all resulting items. .. code-block:: python for item in search.items(): print(item.id) Use `item_collection()` to convert all Items from a search into a single `PySTAC ItemCollection `__. The ``ItemCollection`` can then be saved as a GeoJSON FeatureCollection. .. code-block:: python item_collection = search.item_collection() item_collection.save_object('my_itemcollection.json') pystac-client-0.8.3/docs/tutorials.rst000066400000000000000000000035541464746411700200360ustar00rootroot00000000000000.. _tutorials: Tutorials ######### PySTAC-Client Introduction -------------------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial gives an introduction to using pystac-client with a STAC API STAC Metadata Visualization --------------------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial gives an introduction to using hvplot to visualize STAC metadata and Item geometries on a map. CQL2 Filtering --------------------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial gives an introduction to using CQL2-JSON filtering in searches to search by arbitrary STAC Item properties. Item Search with Intersects ----------------------------------------------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial demonstrates the use of different Python library object types that can be used for the `intersects` search parameter. Calculating Coverage Percentage of the AOI by an Item ----------------------------------------------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial demonstrates the use of pystac-client to calculate the percentage an Item's geometry that intesects with the area of interest (AOI) specified in the search by the `intersects` parameter. Authentication -------------- - :tutorial:`GitHub version ` - :ref:`Docs version ` This tutorial demontrates different ways the pystac-client can be used to access a private stac api, when protected with various authentication mechanisms. pystac-client-0.8.3/docs/tutorials/000077500000000000000000000000001464746411700172755ustar00rootroot00000000000000pystac-client-0.8.3/docs/tutorials/aoi-coverage.ipynb000066400000000000000000000103671464746411700227100ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "id": "e06a27bf", "metadata": {}, "source": [ "# Calculating Coverage Percentage of the AOI by an Item\n", "\n", "This notebook demonstrates the use of pystac-client to calculate the percentage an Item's geometry that intesects with the area of interest (AOI) specified in the search by the `intersects` parameter." ] }, { "cell_type": "code", "execution_count": null, "id": "b65de617", "metadata": {}, "outputs": [], "source": [ "from pystac_client import Client\n", "\n", "import matplotlib.pyplot as plt\n", "from shapely.geometry import shape\n", "from pystac_client import Client\n", "from pystac.item import Item\n", "from typing import Dict, Any" ] }, { "cell_type": "code", "execution_count": null, "id": "98942e75", "metadata": {}, "outputs": [], "source": [ "def intersection_percent(item: Item, aoi: Dict[str, Any]) -> float:\n", " '''The percentage that the Item's geometry intersects the AOI. An Item that\n", " completely covers the AOI has a value of 100.\n", " '''\n", " geom_item = shape(item.geometry)\n", " geom_aoi = shape(aoi)\n", "\n", " intersected_geom = geom_aoi.intersection(geom_item)\n", "\n", " intersection_percent = (intersected_geom.area * 100) / geom_aoi.area\n", "\n", " return intersection_percent\n", "\n", "\n", "# STAC API root URL\n", "URL = 'https://planetarycomputer.microsoft.com/api/stac/v1'\n", "\n", "# geometry of the AOI to search over\n", "intersects_geometry = {\n", " \"type\": \"Polygon\",\n", " \"coordinates\": [\n", " [\n", " [-73.21, 43.99],\n", " [-73.21, 47.05],\n", " [-70.12, 47.05],\n", " [-70.12, 43.99],\n", " [-73.21, 43.99],\n", " ]\n", " ],\n", "}\n", "\n", "# Create a Client and an ItemSearch representing our search\n", "# No search operations will be performed until we call the items() method\n", "client = Client.open(URL)\n", "item_search = client.search(\n", " collections=[\"sentinel-2-l2a\"], intersects=intersects_geometry, max_items=100\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "0b0883fe", "metadata": {}, "outputs": [], "source": [ "print([f\"{intersection_percent(item, intersects_geometry):.2f}\" for item in item_search.items()])" ] }, { "cell_type": "code", "execution_count": null, "id": "03254847", "metadata": {}, "outputs": [], "source": [ "# create a generator that filters to only those Items that intersect more than 5%\n", "items_gt_5_percent = (\n", " i for i in item_search.items() if intersection_percent(i, intersects_geometry) > 5\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "e1de7a09", "metadata": {}, "outputs": [], "source": [ "# Render the AOI and Item results\n", "# The green shape is the AOI\n", "# The blue shapes are the Item geometries\n", "# If there are no blue shapes, adjust the intersection percent filter above until there are\n", "\n", "cm = plt.get_cmap('RdBu')\n", "fig, axs = plt.subplots()\n", "axs.set_aspect('equal', 'datalim')\n", "\n", "for item in items_gt_5_percent:\n", " xs, ys = shape(item.geometry).exterior.xy\n", " axs.fill(xs, ys, alpha=0.5, fc='b', ec='none')\n", "\n", "geom_intersects = shape(intersects_geometry)\n", "xs, ys = geom_intersects.exterior.xy\n", "axs.fill(xs, ys, alpha=0.5, fc='g', ec='none')\n", "\n", "plt.show()" ] } ], "metadata": { "interpreter": { "hash": "6b6313dbab648ff537330b996f33bf845c0da10ea77ae70864d6ca8e2699c7ea" }, "kernelspec": { "display_name": "Python 3.9.11 ('.venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.11" } }, "nbformat": 4, "nbformat_minor": 5 } pystac-client-0.8.3/docs/tutorials/authentication.md000066400000000000000000000056671464746411700226540ustar00rootroot00000000000000# Authentication While not integrated into this library directly, pystac-client provides a series of hooks that support a wide variety of authentication mechanisms. These can be used when interacting with stac API implementations behind various authorization walls. ## Basic auth Pystac-client supports HTTP basic authentication by simply exposing the ability to define headers to be used when sending requests. Simply encode the token and provide the header. ```python import base64 import pystac_client # encode credentials user_name = "yellowbeard" password = "yaarg" userpass = f"{user_name}:{password}" b64_userpass = base64.b64encode(userpass.encode()).decode() # create the client client = pystac_client.Client.open( url="https://planetarycomputer.microsoft.com/api/stac/v1", headers={ 'Authorization': f"Basic {b64_userpass}" } ) ``` ## Token auth Providing a authentication token can be accomplished using the same mechanism as described above for [basic auth](#basic-auth). Simply provide the token in the `Authorization` header to the client in the same manner. ## AWS SigV4 Accessing a stac api protected by AWS IAM often requires signing the request using [AWS SigV4](https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html). Unlike basic and token authentication, the entire request is part of the signing process. Thus the `Authorization` header cannot be added when the client is created, rather it must be generated and added after the request is fully formed. Pystac-client provides a lower-level hook, the `request_modifier` parameter, which can mutate the request, adding the necessary header after the request has been generated but before it is sent. The code cell below demonstrates this, using the `boto3` module. ```python import boto3 import botocore.auth import botocore.awsrequest import pystac_client import requests # Details regarding the private stac api region = "us-east-1" service_name = "execute-api" endpoint_id = "xxxxxxxx" deployment_stage = "dev" stac_api_url = f"https://{endpoint_id}.{service_name}.{region}.amazonaws.com/{deployment_stage}" # load AWS credentials credentials = boto3.Session(region_name=region).get_credentials() signer = botocore.auth.SigV4Auth(credentials, service_name, region) def sign_request(request: requests.Request) -> requests.Request: """Sign the request using AWS SigV4. Args: request (requests.Request): The fully populated request to sign. Returns: requests.Request: The provided request object, with auth header added. """ aws_request = botocore.awsrequest.AWSRequest( method=request.method, url=request.url, params=request.params, data=request.data, headers=request.headers ) signer.add_auth(aws_request) request.headers = aws_request.headers return request # create the client client = pystac_client.Client.open( url=stac_api_url, request_modifier=sign_request ) ``` pystac-client-0.8.3/docs/tutorials/cql2-filter.ipynb000066400000000000000000000145511464746411700224720ustar00rootroot00000000000000{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "e06a27bf", "metadata": {}, "source": [ "# CQL2 Filtering\n", "\n", "This notebook demonstrates the use of pystac-client to use [CQL2 filtering](https://github.com/radiantearth/stac-api-spec/tree/master/fragments/filter). The server needs to support this and advertise conformance as the `https://api.stacspec.org/v1.0.0-rc.1/item-search#filter` class in the `conformsTo` attribute of the root API.\n", "\n", "**This should be considered an experimental feature. This notebook uses the Microsoft Planetary Computer API, as it is currently the only public CQL2 implementation.**" ] }, { "cell_type": "code", "execution_count": null, "id": "b65de617", "metadata": {}, "outputs": [], "source": [ "from pystac_client import Client\n", "\n", "# set pystac_client logger to DEBUG to see API calls\n", "import logging\n", "logging.basicConfig()\n", "logger = logging.getLogger('pystac_client')\n", "logger.setLevel(logging.INFO)\n", "\n", "# function for creating GeoDataFrame from Items\n", "from copy import deepcopy\n", "import geopandas as gpd\n", "import pandas as pd\n", "from shapely.geometry import shape\n", "\n", "# convert a list of STAC Items into a GeoDataFrame\n", "def items_to_geodataframe(items):\n", " _items = []\n", " for i in items:\n", " _i = deepcopy(i)\n", " _i['geometry'] = shape(_i['geometry'])\n", " _items.append(_i)\n", " gdf = gpd.GeoDataFrame(pd.json_normalize(_items))\n", " for field in ['properties.datetime', 'properties.created', 'properties.updated']:\n", " if field in gdf:\n", " gdf[field] = pd.to_datetime(gdf[field])\n", " gdf.set_index('properties.datetime', inplace=True)\n", " return gdf" ] }, { "cell_type": "code", "execution_count": null, "id": "98942e75", "metadata": {}, "outputs": [], "source": [ "# STAC API root URL\n", "URL = 'https://planetarycomputer.microsoft.com/api/stac/v1'\n", "\n", "# custom headers\n", "headers = []\n", "\n", "cat = Client.open(URL, headers=headers)" ] }, { "cell_type": "markdown", "id": "1e16077c", "metadata": {}, "source": [ "## Initial Search Parameters\n", "\n", "Here we perform a search with the `Client.search` function, providing a geometry (`intersects`) a datetime range (`datetime`), and filtering by Item properties (`filter`) using CQL2-JSON." ] }, { "cell_type": "code", "execution_count": null, "id": "d8af6334", "metadata": {}, "outputs": [], "source": [ "# AOI around Delfzijl, in the north of The Netherlands\n", "geom = {\n", " \"type\": \"Polygon\",\n", " \"coordinates\": [\n", " [\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ]\n", " ]\n", " ]\n", "}\n", "\n", "params = {\n", " \"max_items\": 100,\n", " \"collections\": \"landsat-8-c2-l2\",\n", " \"intersects\": geom,\n", " \"datetime\": \"2018-01-01/2020-12-31\",\n", "}\n", "\n", "import hvplot.pandas\n", "import json\n", "\n", "# reusable search function\n", "def search_fetch_plot(params, filt):\n", " # limit sets the # of items per page so we can see multiple pages getting fetched\n", " params['filter'] = filt\n", " search = cat.search(**params)\n", " items = list(search.items_as_dicts()) # safe b/c we set max_items = 100\n", " # DataFrame\n", " items_df = pd.DataFrame(items_to_geodataframe(items))\n", " print(f\"{len(items_df.index)} items found\")\n", " field = 'properties.eo:cloud_cover'\n", " return items_df.hvplot(y=field, label=json.dumps(filt), frame_height=500, frame_width=800) " ] }, { "cell_type": "markdown", "id": "44d3bc04", "metadata": {}, "source": [ "## CQL2 Filters\n", "\n", "Below are examples of several different CQL2 filters on the `eo:cloud_cover` property. Up to 100 Items are fetched and the eo:cloud_cover values plotted." ] }, { "cell_type": "code", "execution_count": null, "id": "dfc0e759", "metadata": {}, "outputs": [], "source": [ "filt = {\n", " \"op\": \"lte\",\n", " \"args\": [{\"property\": \"eo:cloud_cover\"}, 10]\n", "}\n", "\n", "search_fetch_plot(params, filt)" ] }, { "cell_type": "code", "execution_count": null, "id": "9c2f9ca1", "metadata": {}, "outputs": [], "source": [ "filt = {\n", " \"op\": \"gte\",\n", " \"args\" : [{\"property\": \"eo:cloud_cover\"}, 80]\n", "}\n", "\n", "search_fetch_plot(params, filt)" ] }, { "cell_type": "code", "execution_count": null, "id": "109f673c", "metadata": {}, "outputs": [], "source": [ "filt = { \n", " \"op\": \"and\",\n", " \"args\": [\n", " { \n", " \"op\":\"lte\", \n", " \"args\": [{\"property\": \"eo:cloud_cover\"}, 60]\n", " },\n", " { \n", " \"op\": \"gte\", \n", " \"args\": [{\"property\": \"eo:cloud_cover\"}, 40]\n", " }\n", " ]\n", "}\n", "\n", "search_fetch_plot(params, filt)" ] } ], "metadata": { "interpreter": { "hash": "6b6313dbab648ff537330b996f33bf845c0da10ea77ae70864d6ca8e2699c7ea" }, "kernelspec": { "display_name": "Python 3.9.11 ('.venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.11" } }, "nbformat": 4, "nbformat_minor": 5 } pystac-client-0.8.3/docs/tutorials/item-search-intersects.ipynb000066400000000000000000000157371464746411700247370ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "id": "e06a27bf", "metadata": {}, "source": [ "# Item Search with Intersects\n", "\n", "This notebook shows the use of pystac-client to perform item search with the `intersects` parameter, to restrict the results to an Area of Interest (AOI)." ] }, { "cell_type": "markdown", "id": "1e16077c", "metadata": {}, "source": [ "# Client\n", "\n", "We first connect to an API by retrieving the root catalog, or landing page, of the API with the `Client.open` function." ] }, { "cell_type": "code", "execution_count": null, "id": "98942e75", "metadata": { "tags": [] }, "outputs": [], "source": [ "from pystac_client import Client\n", "from typing import Any, Dict\n", "import json\n", "\n", "# STAC API root URL\n", "URL = 'https://planetarycomputer.microsoft.com/api/stac/v1'\n", "\n", "client = Client.open(URL)" ] }, { "cell_type": "markdown", "id": "62e26114", "metadata": {}, "source": [ "# Item Search\n", "\n", "When the Catalog is a STAC API, we have the ability to search for items based on spatio-temporal properties.\n", "\n", "The STAC API endpoint `/search` accepts a parameter `intersects` that is a GeoJSON Geometry representing the AOI of the search.\n", "\n", "The `search` method of the pystac_client `Client` class accepts several different types of objects:\n", "\n", "1. a string representing a GeoJSON geometry\n", "2. a dictionary representing a GeoJSON geometry\n", "3. any object that implements a ``__geo_interface__`` property, [an informal specification](https://gist.github.com/sgillies/2217756) \n", " supported by several libraries for generating a GeoJSON representation from an object. Several prominent libraries support this\n", " protocol for their objects that represent geometries, including [Shapely](https://shapely.readthedocs.io), [ArcPy](https://pro.arcgis.com/en/pro-app/2.8/arcpy/get-started/what-is-arcpy-.htm), [PySAL](https://pysal.org/), [geojson](https://github.com/jazzband/geojson), [pyshp](https://pypi.org/project/pyshp/), [descartes](https://docs.descarteslabs.com/), and [pygeoif](https://github.com/cleder/pygeoif)" ] }, { "cell_type": "markdown", "id": "0d27fabf", "metadata": {}, "source": [ "## Item Search with AOI as a Dictionary" ] }, { "cell_type": "code", "execution_count": null, "id": "d8af6334", "metadata": { "tags": [] }, "outputs": [], "source": [ "# AOI around Delfzijl, in northern Netherlands\n", "aoi_as_dict: Dict[str, Any] = {\n", " \"type\": \"Polygon\",\n", " \"coordinates\": [\n", " [\n", " [\n", " 6,\n", " 53\n", " ],\n", " [\n", " 7,\n", " 53\n", " ],\n", " [\n", " 7,\n", " 54\n", " ],\n", " [\n", " 6,\n", " 54\n", " ],\n", " [\n", " 6,\n", " 53\n", " ]\n", " ]\n", " ]\n", "}\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_dict,\n", ")\n", "\n", "print(f\"AOI as dictionary, found {len(list(search.items()))} items\")" ] }, { "cell_type": "markdown", "id": "9da4956b", "metadata": {}, "source": [ "## Item Search with AOI as a String" ] }, { "cell_type": "code", "execution_count": null, "id": "9a7c9336", "metadata": { "tags": [] }, "outputs": [], "source": [ "aoi_as_str: str = json.dumps(aoi_as_dict)\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_str,\n", ")\n", "\n", "print(f\"AOI as string, found {len(list(search.items()))} items\")" ] }, { "cell_type": "markdown", "id": "f22ffb5a", "metadata": {}, "source": [ "## Item Search with AOI as a Shapely Geometry Object" ] }, { "cell_type": "code", "execution_count": null, "id": "a44598ef", "metadata": { "tags": [] }, "outputs": [], "source": [ "import shapely.geometry\n", "\n", "aoi_as_shapely_shape = shapely.geometry.shape(aoi_as_dict)\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_shapely_shape,\n", ")\n", "\n", "print(f\"AOI as Shapely Geometry object from shape(), found {len(list(search.items()))} items\")\n", "\n", "aoi_as_shapely_polygon = shapely.geometry.Polygon(aoi_as_dict[\"coordinates\"][0])\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_shapely_polygon,\n", ")\n", "\n", "print(f\"AOI as Shapely Geometry object with Polygon, found {len(list(search.items()))} items\")" ] }, { "cell_type": "markdown", "id": "8f236254", "metadata": {}, "source": [ "## Item Search with AOI as a \"geojson\" library object" ] }, { "cell_type": "code", "execution_count": null, "id": "84ce4395", "metadata": { "tags": [] }, "outputs": [], "source": [ "import geojson\n", "\n", "aoi_as_geojson_polygon = geojson.Polygon(aoi_as_dict[\"coordinates\"])\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_geojson_polygon,\n", ")\n", "\n", "print(f\"AOI as geojson Polygon, found {len(list(search.items()))} items\")" ] }, { "cell_type": "markdown", "id": "3fe9c255", "metadata": {}, "source": [ "## Item Search with AOI as a pygeoif Object" ] }, { "cell_type": "code", "execution_count": null, "id": "a27dcb72", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pygeoif\n", "aoi_as_pygeoif_polygon = pygeoif.geometry.Polygon(aoi_as_dict[\"coordinates\"][0])\n", "\n", "search = client.search(\n", " max_items = 25,\n", " collections = \"aster-l1t\",\n", " intersects = aoi_as_pygeoif_polygon,\n", ")\n", "\n", "print(f\"AOI as pygeoif Polygon, found {len(list(search.items()))} items\")" ] } ], "metadata": { "interpreter": { "hash": "6b6313dbab648ff537330b996f33bf845c0da10ea77ae70864d6ca8e2699c7ea" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.3" } }, "nbformat": 4, "nbformat_minor": 5 } pystac-client-0.8.3/docs/tutorials/pystac-client-introduction.ipynb000066400000000000000000000153411464746411700256420ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "id": "e06a27bf", "metadata": {}, "source": [ "# PySTAC-Client Introduction\n", "\n", "This notebook shows basic use of pystac-client to open an API, iterate through Collections and Items, and perform simple spatio-temporal searches." ] }, { "cell_type": "code", "execution_count": null, "id": "b65de617", "metadata": {}, "outputs": [], "source": [ "from pystac_client import Client\n", "\n", "# set pystac_client logger to DEBUG to see API calls\n", "import logging\n", "logging.basicConfig()\n", "logger = logging.getLogger('pystac_client')\n", "logger.setLevel(logging.DEBUG)" ] }, { "cell_type": "markdown", "id": "1e16077c", "metadata": {}, "source": [ "# Client\n", "\n", "We first connect to an API by retrieving the root catalog, or landing page, of the API with the `Client.open` function." ] }, { "cell_type": "code", "execution_count": null, "id": "98942e75", "metadata": {}, "outputs": [], "source": [ "# STAC API root URL\n", "URL = 'https://planetarycomputer.microsoft.com/api/stac/v1'\n", "\n", "# custom headers\n", "headers = []\n", "\n", "cat = Client.open(URL, headers=headers)\n", "cat" ] }, { "cell_type": "markdown", "id": "f6efbb86", "metadata": {}, "source": [ "# CollectionClient\n", "\n", "As with a static catalog the `get_collections` function will iterate through the Collections in the Catalog. Notice that because this is an API it can get all the Collections through a single call, rather than having to fetch each one individually." ] }, { "cell_type": "code", "execution_count": null, "id": "bb7693fb", "metadata": {}, "outputs": [], "source": [ "for collection in cat.get_collections():\n", " print(collection)" ] }, { "cell_type": "code", "execution_count": null, "id": "fef20a46", "metadata": {}, "outputs": [], "source": [ "collection = cat.get_collection('aster-l1t')\n", "collection" ] }, { "cell_type": "markdown", "id": "47a540fe", "metadata": {}, "source": [ "# Items\n", "\n", "The main functions for getting items return iterators, where pystac-client will handle retrieval of additional pages when needed. Note that one request is made for the first ten items, then a second request for the next ten." ] }, { "cell_type": "code", "execution_count": null, "id": "17d6de4b", "metadata": {}, "outputs": [], "source": [ "items = collection.get_items()\n", "\n", "# flush stdout so we can see the exact order that things happen\n", "def get_ten_items(items):\n", " for i, item in enumerate(items):\n", " print(f\"{i}: {item}\", flush=True)\n", " if i == 9:\n", " return\n", "\n", "print('First page', flush=True)\n", "get_ten_items(items)\n", "\n", "print('Second page', flush=True)\n", "get_ten_items(items)" ] }, { "cell_type": "markdown", "id": "62e26114", "metadata": {}, "source": [ "# API Search\n", "\n", "If the Catalog is an API, we have the ability to search for items based on spatio-temporal properties." ] }, { "cell_type": "code", "execution_count": null, "id": "d8af6334", "metadata": {}, "outputs": [], "source": [ "# AOI around Delfzijl, in northern Netherlands\n", "geom = {\n", " \"type\": \"Polygon\",\n", " \"coordinates\": [\n", " [\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ]\n", " ]\n", " ]\n", "}\n", "\n", "# limit sets the # of items per page so we can see multiple pages getting fetched\n", "search = cat.search(\n", " max_items = 15,\n", " limit = 5,\n", " collections = \"aster-l1t\",\n", " intersects = geom,\n", " datetime = \"2000-01-01/2010-12-31\",\n", ")\n", "\n", "items = list(search.items())\n", "\n", "len(items)" ] }, { "cell_type": "code", "execution_count": null, "id": "275f316f", "metadata": {}, "outputs": [], "source": [ "# note that this will work in JupyterLab, but not in a Jupyter Notebook\n", "\n", "import IPython.display\n", "\n", "\n", "IPython.display.JSON([i.to_dict() for i in items])" ] }, { "cell_type": "code", "execution_count": null, "id": "68bf65f2", "metadata": {}, "outputs": [], "source": [ "# this cell can be used in Jupyter Notebook. Use above if using JupyterLab\n", "\n", "import json\n", "import uuid\n", "from IPython.display import display_javascript, display_html, display\n", "\n", "class RenderJSON(object):\n", " def __init__(self, json_data):\n", " if isinstance(json_data, dict) or isinstance(json_data, list):\n", " self.json_str = json.dumps(json_data)\n", " else:\n", " self.json_str = json_data\n", " self.uuid = str(uuid.uuid4())\n", "\n", " def _ipython_display_(self):\n", " display_html('
'.format(self.uuid), raw=True)\n", " display_javascript(\"\"\"\n", " require([\"https://rawgit.com/caldwell/renderjson/master/renderjson.js\"], function() {\n", " renderjson.set_show_to_level(2);\n", " document.getElementById('%s').appendChild(renderjson(%s))\n", " });\n", " \"\"\" % (self.uuid, self.json_str), raw=True)\n", "\n", "\n", "RenderJSON([i.to_dict() for i in items])" ] } ], "metadata": { "interpreter": { "hash": "6b6313dbab648ff537330b996f33bf845c0da10ea77ae70864d6ca8e2699c7ea" }, "kernelspec": { "display_name": "Python 3.9.11 ('.venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.11" } }, "nbformat": 4, "nbformat_minor": 5 } pystac-client-0.8.3/docs/tutorials/stac-metadata-viz.ipynb000066400000000000000000000166311464746411700236650ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "id": "ab31574b", "metadata": {}, "source": [ "# STAC Metadata Visualizations\n", "\n", "This notebook illustrates a simple way to display footprints of discovered Items after searching a STAC API, and making simple plots using Pandas and Holoviews. Only the metadata is visualized in these examples through maps and plots. The actual STAC data (i.e., Item Assets) are not accessed.\n", "\n", "The libraries GeoPandas and hvplot are used for visualizations." ] }, { "cell_type": "code", "execution_count": null, "id": "3188b5a0", "metadata": {}, "outputs": [], "source": [ "from pystac_client import Client\n", "\n", "# set pystac_client logger to DEBUG to see API calls\n", "import logging\n", "logging.basicConfig()\n", "logger = logging.getLogger('pystac_client')\n", "logger.setLevel(logging.DEBUG)" ] }, { "cell_type": "markdown", "id": "1d404982", "metadata": {}, "source": [ "Define the STAC API to use, along with any custom headers (such as for authentication)" ] }, { "cell_type": "code", "execution_count": null, "id": "d40ed5c1", "metadata": {}, "outputs": [], "source": [ "# STAC API root URL\n", "URL = 'https://planetarycomputer.microsoft.com/api/stac/v1'\n", "\n", "# custom headers\n", "headers = []\n", "\n", "cat = Client.open(URL, headers=headers)\n", "cat" ] }, { "cell_type": "markdown", "id": "e513e548", "metadata": {}, "source": [ "## Search\n", "\n", "Perform a spatio-temporal search of ASTER data for a small AOI in the northern part of The Netherlands between 2000 and 2010." ] }, { "cell_type": "code", "execution_count": null, "id": "ae7a3eca", "metadata": { "scrolled": true }, "outputs": [], "source": [ "# AOI around Delfzijl, in northern Netherlands\n", "geom = {\n", " \"type\": \"Polygon\",\n", " \"coordinates\": [\n", " [\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.174765470134616\n", " ],\n", " [\n", " 7.344360351562499,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.67393435835391\n", " ],\n", " [\n", " 6.42425537109375,\n", " 53.174765470134616\n", " ]\n", " ]\n", " ]\n", "}\n", "\n", "# limit sets the # of items per page so we can see multiple pages getting fetched\n", "search = cat.search(\n", " max_items = 50,\n", " collections = \"aster-l1t\",\n", " intersects = geom,\n", " datetime = \"2000-01-01/2010-12-31\",\n", ")\n", "\n", "# retrieve the items as dictionaries, rather than Item objects\n", "items = list(search.items_as_dicts())\n", "len(items)" ] }, { "cell_type": "markdown", "id": "2a23660f", "metadata": {}, "source": [ "## GeoPandas\n", "\n", "A GeoDataFrame is constructed from the AOI geometry, in order to make visualizations easy.\n", "\n", "The STAC Items, which are a GeoJSON FeatureCollection can be converted to a GeoDataFrame." ] }, { "cell_type": "code", "execution_count": null, "id": "ed0da77b", "metadata": {}, "outputs": [], "source": [ "from copy import deepcopy\n", "import geopandas as gpd\n", "import pandas as pd\n", "from shapely.geometry import shape\n", "\n", "# convert a list of STAC Items into a GeoDataFrame\n", "def items_to_geodataframe(items):\n", " _items = []\n", " for i in items:\n", " _i = deepcopy(i)\n", " _i['geometry'] = shape(_i['geometry'])\n", " _items.append(_i)\n", " gdf = gpd.GeoDataFrame(pd.json_normalize(_items))\n", " for field in ['properties.datetime', 'properties.created', 'properties.updated']:\n", " if field in gdf:\n", " gdf[field] = pd.to_datetime(gdf[field])\n", " gdf.set_index('properties.datetime', inplace=True)\n", " return gdf" ] }, { "cell_type": "code", "execution_count": null, "id": "c4bed793", "metadata": {}, "outputs": [], "source": [ "# convert geometry to a GeoDataFrame\n", "aoi_gdf = gpd.GeoDataFrame([{'geometry': shape(geom)}])\n", "aoi_gdf" ] }, { "cell_type": "code", "execution_count": null, "id": "d1fc8732", "metadata": {}, "outputs": [], "source": [ "# convert found items to a GeoDataFrame\n", "items_gdf = items_to_geodataframe(items)\n", "items_gdf.head()" ] }, { "cell_type": "markdown", "id": "4d570626", "metadata": {}, "source": [ "## Plot Geometries on a Map\n", "\n", "Holoviews is used to display geometries on a map by using `hvplot`. The The `*` Holoviews operator to overlay two plots" ] }, { "cell_type": "code", "execution_count": null, "id": "e8fbfad6", "metadata": {}, "outputs": [], "source": [ "import hvplot.pandas\n", "\n", "# plot polygons on a map with background tiles.\n", "def plot_polygons(data, *args, **kwargs):\n", " return data.hvplot.polygons(*args, geo=True, projection=\"GOOGLE_MERCATOR\", xaxis=None, yaxis=None,\n", " frame_width=600, frame_height=600, fill_alpha=0,\n", " line_width=4, **kwargs)" ] }, { "cell_type": "code", "execution_count": null, "id": "72094092", "metadata": {}, "outputs": [], "source": [ "plot_polygons(aoi_gdf, tiles=\"OSM\", line_color=\"red\")" ] }, { "cell_type": "code", "execution_count": null, "id": "d7d6cfc6", "metadata": {}, "outputs": [], "source": [ "plot_polygons(items_gdf, tiles=\"OSM\")" ] }, { "cell_type": "code", "execution_count": null, "id": "0a07e87b", "metadata": {}, "outputs": [], "source": [ "plot_polygons(items_gdf, tiles=\"OSM\") * plot_polygons(aoi_gdf, line_color=\"red\")" ] }, { "cell_type": "markdown", "id": "b0604c84", "metadata": {}, "source": [ "## Line Plots\n", "\n", "Numeric STAC metadata can also be plotted, most often this will be plotted vs the Item `datetime`." ] }, { "cell_type": "code", "execution_count": null, "id": "c198e261", "metadata": {}, "outputs": [], "source": [ "items_df = pd.DataFrame(items_gdf)\n", "\n", "plot_fields = [\n", " 'properties.eo:cloud_cover',\n", " 'properties.view:sun_azimuth',\n", " 'properties.view:sun_elevation'\n", "]\n", "\n", "items_df[plot_fields].hvplot(height=500, width=800).opts(legend_position=\"top_right\")" ] } ], "metadata": { "interpreter": { "hash": "6b6313dbab648ff537330b996f33bf845c0da10ea77ae70864d6ca8e2699c7ea" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" } }, "nbformat": 4, "nbformat_minor": 5 } pystac-client-0.8.3/docs/usage.rst000066400000000000000000000475631464746411700171240ustar00rootroot00000000000000Usage ##### PySTAC-Client (pystac-client) builds upon `PySTAC `_ library to add support for STAC APIs in addition to static STAC catalogs. PySTAC-Client can be used with static or dynamic (i.e., API) catalogs. Currently, pystac-client does not offer much in the way of additional functionality if using with static catalogs, as the additional features are for support STAC API endpoints such as `search`. However, in the future it is expected that pystac-client will offer additional convenience functions that may be useful for static and dynamic catalogs alike. The most basic implementation of a STAC API is an endpoint that returns a valid STAC Catalog, but also contains a ``"conformsTo"`` attribute that is a list of conformance URIs for the standards that the API supports. This section is organized by the classes that are used, which mirror parent classes from PySTAC: +------------------+------------+ | pystac-client | pystac | +==================+============+ | Client | Catalog | +------------------+------------+ | CollectionClient | Collection | +------------------+------------+ The classes offer all of the same functions for accessing and traversing Catalogs as in PySTAC. The documentation for pystac-client only includes new functions, it does not duplicate documentation for inherited functions. Client ++++++ The :class:`pystac_client.Client` class is the main interface for working with services that conform to the STAC API spec. This class inherits from the :class:`pystac.Catalog` class and in addition to the methods and attributes implemented by a Catalog, it also includes convenience methods and attributes for: * Checking conformance to various specs * Querying a search endpoint (if the API conforms to the STAC API - Item Search spec) * Getting jsonschema of queryables from `/queryables` endpoint (if the API conforms to the STAC API - Filter spec) The preferred way to interact with any STAC Catalog or API is to create an :class:`pystac_client.Client` instance with the ``pystac_client.Client.open`` method on a root Catalog. This calls the :meth:`pystac.STACObject.from_file` except it properly configures conformance and IO for reading from remote servers. The following code creates an instance by making a call to the Microsoft Planetary Computer root catalog. .. code-block:: python >>> from pystac_client import Client >>> catalog = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1') >>> catalog.title 'Microsoft Planetary Computer STAC API' Some functions, such as ``Client.search`` will throw an error if the provided Catalog/API does not support the required Conformance Class. In other cases, such as ``Client.get_collections``, API endpoints will be used if the API conforms, otherwise it will fall back to default behavior provided by :class:`pystac.Catalog`. When a ``Client`` does not conform to a particular Conformance Class, an informative warning is raised. Similarly when falling back to the :class:`pystac.Catalog` implementation a warning is raised. You can control the behavior of these warnings using the standard :py:mod:`warnings` or special context managers :func:`pystac_client.warnings.strict` and from :func:`pystac_client.warnings.ignore`. API Conformance --------------- This library is intended to work with any STAC static catalog or STAC API. A static catalog will be usable more or less the same as with PySTAC, except that pystac-client supports providing custom headers to API endpoints. (e.g., authenticating to an API with a token). A STAC API is a STAC Catalog that is required to advertise its capabilities in a `conformsTo` field and implements the `STAC API - Core` spec along with other optional specifications: * `CORE `__ * `ITEM_SEARCH `__ * `FIELDS `__ * `QUERY `__ * `SORT `__ * `CONTEXT `__ * `FILTER `__ * `COLLECTIONS `__ (based on the `Features Collection section of OGC APO - Features __`) * `FEATURES `__ (based on `OGC API - Features `__) The :meth:`pystac_client.Client.conforms_to` method is used to check conformance against conformance classes (specs). To check an API for support for a given spec, pass the `conforms_to` function the name of a :class:`ConformanceClasses`. .. code-block:: python >>> catalog.conforms_to("ITEM_SEARCH") True If the API does not advertise conformance with a particular spec, but it does support it you can update `conforms_to` on the client object. For instance in `v0` of earth-search there are no ``"conformsTo"`` uris set at all. But they can be explicitly set: .. code-block:: python >>> catalog = Client.open("https://earth-search.aws.element84.com/v0") :1: NoConformsTo: Server does not advertise any conformance classes. >>> catalog.conforms_to("ITEM_SEARCH") False >>> catalog.add_conforms_to("ITEM_SEARCH") Note, updating ``"conformsTo"`` does not change what the server supports, it just changes PySTAC client's understanding of what the server supports. Configuring retry behavior -------------------------- By default, **pystac-client** will retry requests that fail DNS lookup or have timeouts. If you'd like to configure this behavior, e.g. to retry on some ``50x`` responses, you can configure the StacApiIO's session: .. code-block:: python from requests.adapters import HTTPAdapter from urllib3 import Retry from pystac_client import Client from pystac_client.stac_api_io import StacApiIO retry = Retry( total=5, backoff_factor=1, status_forcelist=[502, 503, 504], allowed_methods=None ) stac_api_io = StacApiIO(max_retries=retry) client = Client.open( "https://planetarycomputer.microsoft.com/api/stac/v1", stac_io=stac_api_io ) Automatically modifying results ------------------------------- Some systems, like the `Microsoft Planetary Computer `__, have public STAC metadata but require some `authentication `__ to access the actual assets. ``pystac-client`` provides a ``modifier`` keyword that can automatically modify the STAC objects returned by the STAC API. .. code-block:: python >>> from pystac_client import Client >>> import planetary_computer, requests >>> catalog = Client.open( ... 'https://planetarycomputer.microsoft.com/api/stac/v1', ... modifier=planetary_computer.sign_inplace, ... ) >>> item = next(catalog.get_collection("sentinel-2-l2a").get_all_items()) >>> requests.head(item.assets["B02"].href).status_code 200 Without the modifier, we would have received a 404 error because the asset is in a private storage container. ``pystac-client`` expects that the ``modifier`` callable modifies the result object in-place and returns no result. A warning is emitted if your ``modifier`` returns a non-None result that is not the same object as the input. Here's an example of creating your own modifier. Because :py:class:`~pystac_client.Modifiable` is a union, the modifier function must handle a few different types of input objects, and care must be taken to ensure that you are modifying the input object (rather than a copy). Simplifying this interface is a space for future improvement. .. code-block:: python import urllib.parse import pystac from pystac_client import Client, Modifiable def modifier(modifiable: Modifiable) -> None: if isinstance(modifiable, dict): if modifiable["type"] == "FeatureCollection": new_features = list() for item_dict in modifiable["features"]: modifier(item_dict) new_features.append(item_dict) modifiable["features"] = new_features else: stac_object = pystac.read_dict(modifiable) modifier(stac_object) modifiable.update(stac_object.to_dict()) else: for key, asset in modifiable.assets.items(): url = urllib.parse.urlparse(asset.href) if not url.query: asset.href = urllib.parse.urlunparse(url._replace(query="foo=bar")) modifiable.assets[key] = asset client = Client.open( "https://planetarycomputer.microsoft.com/api/stac/v1", modifier=modifier ) item_search = client.search(collections=["landsat-c2-l2"], max_items=1) item = next(item_search.items()) asset = item.assets["red"] assert urllib.parse.urlparse(asset.href).query == "foo=bar" Using custom certificates ------------------------- If you need to use custom certificates in your ``pystac-client`` requests, you can customize the :class:`StacApiIO` instance before creating your :class:`Client`. .. code-block:: python >>> from pystac_client.stac_api_io import StacApiIO >>> from pystac_client.client import Client >>> stac_api_io = StacApiIO() >>> stac_api_io.session.verify = "/path/to/certfile" >>> client = Client.open("https://planetarycomputer.microsoft.com/api/stac/v1", stac_io=stac_api_io) CollectionClient ++++++++++++++++ STAC APIs may optionally implement a ``/collections`` endpoint as describe in the `STAC API - Collections spec `__. This endpoint allows clients to search or inspect items within a particular collection. .. code-block:: python >>> catalog = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1') >>> collection = catalog.get_collection("sentinel-2-l2a") >>> collection.title 'Sentinel-2 Level-2A' :class:`pystac_client.CollectionClient` overrides :meth:`pystac.Collection.get_items`. PySTAC will get items by iterating through all children until it gets to an ``item`` link. PySTAC client will use the API endpoint instead: `/collections//items` (as long as `STAC API - Item Search spec `__ is supported). .. code-block:: python >>> item = next(collection.get_items(), None) Note that calling list on this iterator will take a really long time since it will be retrieving every itme for the whole ``"sentinel-2-l2a"`` collection. ItemSearch ++++++++++ STAC API services may optionally implement a ``/search`` endpoint as describe in the `STAC API - Item Search spec `__. This endpoint allows clients to query STAC Items across the entire service using a variety of filter parameters. See the `Query Parameter Table `__ from that spec for details on the meaning of each parameter. The :meth:`pystac_client.Client.search` method provides an interface for making requests to a service's "search" endpoint. This method returns a :class:`pystac_client.ItemSearch` instance. .. code-block:: python >>> from pystac_client import Client >>> catalog = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1') >>> results = catalog.search( ... max_items=5 ... bbox=[-73.21, 43.99, -73.12, 44.05], ... datetime=['2019-01-01T00:00:00Z', '2019-01-02T00:00:00Z'], ... ) Instances of :class:`~pystac_client.ItemSearch` have a handful of methods for getting matching items into Python objects. The right method to use depends on how many of the matches you want to consume (a single item at a time, a page at a time, or everything) and whether you want plain Python dictionaries representing the items, or proper ``pystac`` objects. The following table shows the :class:`~pystac_client.ItemSearch` methods for fetching matches, according to which set of matches to return and whether to return them as ``pystac`` objects or plain dictionaries. ================= ================================================= ========================================================= Matches to return PySTAC objects Plain dictionaries ================= ================================================= ========================================================= **Single items** :meth:`~pystac_client.ItemSearch.items` :meth:`~pystac_client.ItemSearch.items_as_dicts` **Pages** :meth:`~pystac_client.ItemSearch.pages` :meth:`~pystac_client.ItemSearch.pages_as_dicts` **Everything** :meth:`~pystac_client.ItemSearch.item_collection` :meth:`~pystac_client.ItemSearch.item_collection_as_dict` ================= ================================================= ========================================================= Additionally, the ``matched`` method can be used to access result metadata about how many total items matched the query: * :meth:`ItemSearch.matched `: returns the number of hits (items) for this search if the API supports the STAC API Context Extension. Not all APIs support returning a total count, in which case a warning will be issued. .. code-block:: python >>> for item in results.items(): ... print(item.id) S2B_OPER_MSI_L2A_TL_SGS__20190101T200120_A009518_T18TXP_N02.11 MCD43A4.A2019010.h12v04.006.2019022234410 MCD43A4.A2019009.h12v04.006.2019022222645 MYD11A1.A2019002.h12v04.006.2019003174703 MYD11A1.A2019001.h12v04.006.2019002165238 The :meth:`~pystac_client.ItemSearch.items` and related methods handle retrieval of successive pages of results by finding links with a ``"rel"`` type of ``"next"`` and parsing them to construct the next request. The default implementation of this ``"next"`` link parsing assumes that the link follows the spec for an extended STAC link as described in the `STAC API - Item Search: Paging `__ section. See the :mod:`Paging ` docs for details on how to customize this behavior. Alternatively, the Items can be returned within ItemCollections, where each ItemCollection is one page of results retrieved from search: .. code-block:: python >>> for ic in results.pages(): ... for item in ic.items: ... print(item.id) S2B_OPER_MSI_L2A_TL_SGS__20190101T200120_A009518_T18TXP_N02.11 MCD43A4.A2019010.h12v04.006.2019022234410 MCD43A4.A2019009.h12v04.006.2019022222645 MYD11A1.A2019002.h12v04.006.2019003174703 MYD11A1.A2019001.h12v04.006.2019002165238 If you do not need the :class:`pystac.Item` instances, you can instead use :meth:`ItemSearch.items_as_dicts ` to retrieve dictionary representation of the items, without incurring the cost of creating the Item objects. .. code-block:: python >>> for item_dict in results.items_as_dicts(): ... print(item_dict["id"]) S2B_OPER_MSI_L2A_TL_SGS__20190101T200120_A009518_T18TXP_N02.11 MCD43A4.A2019010.h12v04.006.2019022234410 MCD43A4.A2019009.h12v04.006.2019022222645 MYD11A1.A2019002.h12v04.006.2019003174703 MYD11A1.A2019001.h12v04.006.2019002165238 Query Extension --------------- If the Catalog supports the `Query extension `__, any Item property can also be included in the search. Rather than requiring the JSON syntax the Query extension uses, pystac-client can use a simpler syntax that it will translate to the JSON equivalent. Note however that when the simple syntax is used it sends all property values to the server as strings, except for ``gsd`` which it casts to ``float``. This means that if there are extensions in use with numeric properties these will be sent as strings. Some servers may automatically cast this to the appropriate data type, others may not. The query filter will also accept complete JSON as per the specification. :: where operator is one of `>=`, `<=`, `>`, `<`, `=` Examples: eo:cloud_cover<10 view:off_nadir<50 platform=landsat-8 Any number of properties can be included, and each can be included more than once to use additional operators. Sort Extension --------------- If the Catalog supports the `Sort extension `__, the search request can specify the order in which the results should be sorted with the ``sortby`` parameter. The ``sortby`` parameter can either be a string (e.g., ``"-properties.datetime,+id,collection"``), a list of strings (e.g., ``["-properties.datetime", "+id", "+collection"]``), or a dictionary representing the POST JSON format of sortby. In the string and list formats, a ``-`` prefix means a descending sort and a ``+`` prefix or no prefix means an ascending sort. .. code-block:: python >>> from pystac_client import Client >>> results = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1').search( ... sortby="properties.datetime" ... ) >>> results = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1').search( ... sortby="-properties.datetime,+id,+collection" ... ) >>> results = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1').search( ... sortby=["-properties.datetime", "+id" , "+collection" ] ... ) >>> results = Client.open('https://planetarycomputer.microsoft.com/api/stac/v1').search( ... sortby=[ {"direction": "desc", "field": "properties.datetime"}, {"direction": "asc", "field": "id"}, {"direction": "asc", "field": "collection"}, ] ... ) Loading data ++++++++++++ Once you've fetched your STAC :class:`Items` with ``pystac-client``, you now can work with the data referenced by your :class:`Assets`. This is out of scope for ``pystac-client``, but there's a wide variety of tools and options available, and the correct choices depend on your type of data, your environment, and the type of analysis you're doing. For simple workflows, it can be easiest to load data directly using `rasterio `_, `fiona `_, and similar tools. Here is a simple example using **rasterio** to display data from a raster file. .. code-block:: python >>> import rasterio.plot.show >>> with rasterio.open(item.assets["data"].href) as dataset: ... rasterio.plot.show(dataset) For larger sets of data and more complex workflows, a common tool for working with a large number of raster files is `xarray `_, which provides data structures for labelled multi-dimensional arrays. `stackstac `_ and `odc-stac `_ are two similar tools that can load asset data from :class:`Items` or an :class:`ItemCollection` into an **xarray**. Here's a simple example from **odc-stac**'s documentation: .. code-block:: python >>> catalog = pystac_client.Client.open(...) >>> query = catalog.search(...) >>> xx = odc.stac.load( ... query.get_items(), ... bands=["red", "green", "blue"], ... resolution=100, ... ) >>> xx.red.plot.imshow(col="time") See each packages's respective documentation for more examples and tutorials. pystac-client-0.8.3/pyproject.toml000066400000000000000000000066611464746411700172440ustar00rootroot00000000000000[project] name = "pystac-client" description = "Python library for working with SpatioTemporal Asset Catalog (STAC) APIs." readme = "README.md" authors = [ { name = "Jon Duckworth", email = "duckontheweb@gmail.com" }, { name = "Matthew Hanson", email = "matt.a.hanson@gmail.com" }, ] maintainers = [{ name = "Pete Gadomski", email = "pete.gadomski@gmail.com" }] keywords = ["pystac", "imagery", "raster", "catalog", "STAC"] license = { text = "Apache-2.0" } classifiers = [ "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Operating System :: OS Independent", "Natural Language :: English", "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Topic :: Scientific/Engineering :: GIS", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules", ] requires-python = ">=3.9" dependencies = [ "requests>=2.28.2", "pystac[validation]>=1.10.0", "python-dateutil>=2.8.2", ] dynamic = ["version"] [project.scripts] stac-client = "pystac_client.cli:cli" [project.optional-dependencies] dev = [ "black~=24.0", "codespell~=2.3.0", "coverage~=7.2", "doc8~=1.1.1", "importlib-metadata~=8.0", "mypy~=1.2", "orjson~=3.8", "pre-commit~=3.2", "pytest-benchmark~=4.0.0", "pytest-console-scripts~=1.4.0", "pytest-cov~=5.0", "pytest-recording~=0.13", "pytest~=8.0", "recommonmark~=0.7.1", "requests-mock~=1.12", "ruff==0.5.4", "tomli~=2.0; python_version<'3.11'", "types-python-dateutil>=2.8.19,<2.10.0", "types-requests~=2.31.0", # temporary pin https://github.com/stac-utils/pystac-client/issues/509 "urllib3<2", ] docs = [ "Sphinx~=7.3", "boto3~=1.26", "cartopy~=0.21", "geojson~=3.1.0", "geopandas~=1.0.0", "geoviews~=1.9", "hvplot~=0.10.0", "ipykernel~=6.22", "ipython~=8.12", "jinja2<4.0", "matplotlib~=3.8", "myst-parser~=3.0", "nbsphinx~=0.9", "pydata-sphinx-theme~=0.13", "pygeoif~=1.0", "scipy~=1.10", "sphinxcontrib-fulltoc~=1.2", ] [project.urls] homepage = "https://github.com/stac-utils/pystac-client" documentation = "https://pystac-client.readthedocs.io" repository = "https://github.com/stac-utils/pystac-client.git" changelog = "https://github.com/stac-utils/pystac-client/blob/main/CHANGELOG.md" discussions = "https://github.com/radiantearth/stac-spec/discussions/categories/stac-software" [tool.setuptools.packages.find] include = ["pystac_client*"] exclude = ["tests*"] [tool.setuptools.dynamic] version = { attr = "pystac_client.version.__version__" } [tool.doc8] ignore-path = "docs/_build,docs/tutorials" max-line-length = 130 [tool.ruff] line-length = 88 [tool.ruff.lint] ignore = ["E722", "E731"] select = ["E", "F", "W", "I"] [tool.ruff.lint.per-file-ignores] "__init__.py" = ["F401"] "test_item_search.py" = ["E501"] [tool.pytest.ini_options] markers = "vcr: records network activity" addopts = "--benchmark-skip --block-network" [tool.mypy] show_error_codes = true strict = true [[tool.mypy.overrides]] module = ["jinja2"] ignore_missing_imports = true [build-system] requires = ["setuptools>=61.0"] build-backend = "setuptools.build_meta" pystac-client-0.8.3/pystac_client/000077500000000000000000000000001464746411700171605ustar00rootroot00000000000000pystac-client-0.8.3/pystac_client/__init__.py000066400000000000000000000006571464746411700213010ustar00rootroot00000000000000__all__ = [ "Client", "CollectionClient", "ConformanceClasses", "ItemSearch", "Modifiable", "__version__", ] from pystac_client._utils import Modifiable from pystac_client.client import Client from pystac_client.collection_client import CollectionClient from pystac_client.conformance import ConformanceClasses from pystac_client.item_search import ItemSearch from pystac_client.version import __version__ pystac-client-0.8.3/pystac_client/_utils.py000066400000000000000000000015011464746411700210260ustar00rootroot00000000000000import warnings from typing import Any, Callable, Dict, Optional, Union import pystac from pystac_client.errors import IgnoredResultWarning Modifiable = Union[ pystac.Collection, pystac.Item, pystac.ItemCollection, Dict[Any, Any] ] def call_modifier( modifier: Optional[Callable[[Modifiable], None]], obj: Modifiable ) -> None: """Calls the user's modifier and validates that the result is None.""" if modifier is None: return None result = modifier(obj) if result is not None and result is not obj: warnings.warn( f"modifier '{modifier}' returned a result that's being ignored. " "You should ensure that 'modifier' is operating in-place and use " "a function that returns 'None' or silence this warning.", IgnoredResultWarning, ) pystac-client-0.8.3/pystac_client/cli.py000066400000000000000000000264131464746411700203070ustar00rootroot00000000000000import argparse import json import logging import os import re import sys import warnings from typing import Any, Dict, List, Optional from pystac import STACError, STACTypeError from .client import Client from .conformance import ConformanceClasses from .item_search import ( OPS, BBoxLike, CollectionsLike, DatetimeLike, FieldsLike, FilterLangLike, FilterLike, IDsLike, IntersectsLike, QueryLike, SortbyLike, ) from .version import __version__ from .warnings import ( DoesNotConformTo, FallbackToPystac, MissingLink, NoConformsTo, PystacClientWarning, ) logger = logging.getLogger(__name__) def search( client: Client, matched: bool = False, save: Optional[str] = None, *, method: str = "GET", max_items: Optional[int] = None, limit: Optional[int] = None, ids: Optional[IDsLike] = None, collections: Optional[CollectionsLike] = None, bbox: Optional[BBoxLike] = None, intersects: Optional[IntersectsLike] = None, datetime: Optional[DatetimeLike] = None, query: Optional[QueryLike] = None, filter: Optional[FilterLike] = None, filter_lang: Optional[FilterLangLike] = None, sortby: Optional[SortbyLike] = None, fields: Optional[FieldsLike] = None, ) -> int: """Main function for performing a search""" result = client.search( method=method, max_items=max_items, limit=limit, ids=ids, collections=collections, bbox=bbox, intersects=intersects, datetime=datetime, query=query, filter=filter, filter_lang=filter_lang, sortby=sortby, fields=fields, ) if matched: if (nmatched := result.matched()) is not None: print(f"{nmatched} items matched") else: raise KeyError("'matched' is not supported for this catalog") else: feature_collection = result.item_collection_as_dict() if save: with open(save, "w") as f: f.write(json.dumps(feature_collection)) else: print(json.dumps(feature_collection)) return 0 def collections(client: Client, save: Optional[str] = None) -> int: """Fetch collections from collections endpoint""" try: collections_dicts = [c.to_dict() for c in client.get_all_collections()] if save: with open(save, "w") as f: f.write(json.dumps(collections_dicts)) else: print(json.dumps(collections_dicts)) except STACTypeError as e: raise STACError( f"The client at {client.self_href} is OK, but one or more of the " "collections is invalid." ) from e return 0 def add_warnings_behavior(parser: argparse.ArgumentParser) -> None: warnings_group = parser.add_argument_group("warnings behavior") warnings_group.add_argument( "--error", nargs="*", choices=[ "no-conforms-to", "does-not-conform-to", "missing-link", "fallback-to-pystac", ], help="Error on all stac-client warnings or specific warnings.", ) warnings_group.add_argument( "--ignore", nargs="*", choices=[ "no-conforms-to", "does-not-conform-to", "missing-link", "fallback-to-pystac", ], help="Ignore all stac-client warnings or specific warnings.", ) def set_warnings(error: Optional[List[str]], ignore: Optional[List[str]]) -> None: # First set filters on the base class if ignore is not None and len(ignore) == 0: warnings.filterwarnings("ignore", category=PystacClientWarning) if error is not None and len(error) == 0: warnings.filterwarnings("error", category=PystacClientWarning) # Then set filters on any specific classes category_options = { "no-conforms-to": NoConformsTo, "does-not-conform-to": DoesNotConformTo, "missing-link": MissingLink, "fallback-to-pystac": FallbackToPystac, } if ignore is not None: for w in ignore: warnings.filterwarnings("ignore", category=category_options[w]) if error is not None: for w in error: warnings.filterwarnings("error", category=category_options[w]) def set_conforms_to( client: Client, clear: bool, remove: Optional[List[str]], add: Optional[List[str]] ) -> None: """Alters conforms_to settings on client in-place""" if clear: client.clear_conforms_to() if remove is not None: for conformance_class in remove: client.remove_conforms_to(conformance_class) if add is not None: for conformance_class in add: client.add_conforms_to(conformance_class) def parse_args(args: List[str]) -> Dict[str, Any]: desc = "STAC Client" dhf = argparse.ArgumentDefaultsHelpFormatter parser0 = argparse.ArgumentParser(description=desc) parser0.add_argument( "--version", help="Print version and exit", action="version", version=__version__, ) parent = argparse.ArgumentParser(add_help=False) parent.add_argument("url", help="Root Catalog URL") parent.add_argument( "--logging", default="INFO", help="DEBUG, INFO, WARN, ERROR, CRITICAL" ) parent.add_argument( "--headers", nargs="*", help="Additional request headers (KEY=VALUE pairs)", default=None, ) parent.add_argument( "--add-conforms-to", choices=[c.name for c in ConformanceClasses], nargs="*", help="Specify conformance classes to add to client", ) parent.add_argument( "--remove-conforms-to", choices=[c.name for c in ConformanceClasses], nargs="*", help="Specify conformance classes to remove from client", ) parent.add_argument( "--clear-conforms-to", default=False, action="store_true", ) subparsers = parser0.add_subparsers(dest="command") # collections command parser = subparsers.add_parser( "collections", help="Get all collections in this Catalog", parents=[parent], formatter_class=dhf, ) add_warnings_behavior(parser) output_group = parser.add_argument_group("output options") output_group.add_argument( "--save", help="Filename to save collections to", default=None ) # search command parser = subparsers.add_parser( "search", help="Perform new search of items", parents=[parent], formatter_class=dhf, ) search_group = parser.add_argument_group("search options") search_group.add_argument( "-c", "--collections", help="One or more collection IDs", nargs="*" ) search_group.add_argument( "--ids", help="One or more Item IDs (ignores other parameters)", nargs="*" ) search_group.add_argument( "--bbox", help="Bounding box (min lon, min lat, max lon, max lat)", nargs=4 ) search_group.add_argument( "--intersects", help="GeoJSON Feature or geometry (file or string)" ) search_group.add_argument( "--datetime", help="Single datetime or begin and end datetime " "(e.g., 2017-01-01/2017-02-15)", ) search_group.add_argument( "--query", nargs="*", help=f"Query properties of form KEY=VALUE ({','.join(OPS)} supported)", ) search_group.add_argument( "--filter", help="Filter on queryables using language specified in filter-lang parameter", ) search_group.add_argument( "--filter-lang", help="Filter language used within the filter parameter", default="cql2-json", ) search_group.add_argument("--sortby", help="Sort by fields", nargs="*") search_group.add_argument( "--fields", help="Control what fields get returned", nargs="*" ) search_group.add_argument("--limit", help="Page size limit", type=int) search_group.add_argument( "--max-items", dest="max_items", help="Max items to retrieve from search", type=int, ) search_group.add_argument("--method", help="GET or POST", default="POST") add_warnings_behavior(parser) output_group = parser.add_argument_group("output options") output_group.add_argument( "--matched", help="Print number matched", default=False, action="store_true" ) output_group.add_argument( "--save", help="Filename to save Item collection to", default=None ) parsed_args = { k: v for k, v in vars(parser0.parse_args(args)).items() if v is not None } if "command" not in parsed_args: parser0.print_usage() return {} # if intersects is JSON file, read it in if "intersects" in parsed_args: if os.path.exists(parsed_args["intersects"]): with open(parsed_args["intersects"]) as f: data = json.loads(f.read()) if data["type"] == "Feature": parsed_args["intersects"] = data["geometry"] elif data["type"] == "FeatureCollection": logger.warning( "When the input to intersects is a FeatureCollection, " "only the first feature geometry is used." ) parsed_args["intersects"] = data["features"][0]["geometry"] else: parsed_args["intersects"] = data # if headers provided, parse it if "headers" in parsed_args: new_headers = {} splitter = re.compile("^([^=]+)=(.+)$") for head in parsed_args["headers"]: match = splitter.match(head) if match: new_headers[match.group(1)] = match.group(2) else: logger.warning(f"Unable to parse header {head}") parsed_args["headers"] = new_headers if "filter" in parsed_args: if "json" in parsed_args["filter_lang"]: parsed_args["filter"] = json.loads(parsed_args["filter"]) return parsed_args def cli() -> int: args = parse_args(sys.argv[1:]) if not args: return 1 loglevel = args.pop("logging") if args.get("save", False) or args.get("matched", False): logging.basicConfig(level=loglevel) # quiet loggers logging.getLogger("urllib3").propagate = False cmd = args.pop("command") try: url = args.pop("url") headers = args.pop("headers", {}) set_warnings(args.pop("error", None), args.pop("ignore", None)) client = Client.open(url, headers=headers) set_conforms_to( client, args.pop("clear_conforms_to"), args.pop("remove_conforms_to", None), args.pop("add_conforms_to", None), ) if cmd == "search": return search(client, **args) elif cmd == "collections": return collections(client, **args) else: logger.error( f"Command '{cmd}' is not a valid command. " "must be 'search' or 'collections'", ) return 1 except Exception as e: logger.error(e, exc_info=True) return 1 if __name__ == "__main__": return_code = cli() if return_code and return_code != 0: sys.exit(return_code) pystac-client-0.8.3/pystac_client/client.py000066400000000000000000000635121464746411700210170ustar00rootroot00000000000000import re import warnings from functools import lru_cache from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Union, cast, ) import pystac import pystac.utils import pystac.validation from pystac import CatalogType, Collection from pystac.layout import APILayoutStrategy, HrefLayoutStrategy from requests import Request from pystac_client._utils import Modifiable, call_modifier from pystac_client.collection_client import CollectionClient from pystac_client.conformance import ConformanceClasses from pystac_client.errors import ClientTypeError from pystac_client.exceptions import APIError from pystac_client.item_search import ( BBoxLike, CollectionsLike, DatetimeLike, FieldsLike, FilterLangLike, FilterLike, IDsLike, IntersectsLike, ItemSearch, QueryLike, SortbyLike, ) from pystac_client.mixins import QUERYABLES_ENDPOINT, QueryablesMixin from pystac_client.stac_api_io import StacApiIO, Timeout from pystac_client.warnings import DoesNotConformTo, FallbackToPystac, NoConformsTo if TYPE_CHECKING: from pystac.item import Item as Item_Type class Client(pystac.Catalog, QueryablesMixin): """A Client for interacting with the root of a STAC Catalog or API Instances of the ``Client`` class inherit from :class:`pystac.Catalog` and provide a convenient way of interacting with STAC Catalogs OR STAC APIs that conform to the `STAC API spec `_. In addition to being a valid `STAC Catalog `_ APIs that have a ``"conformsTo"`` indicate that it supports additional functionality on top of a normal STAC Catalog, such as searching items (e.g., /search endpoint). """ _stac_io: Optional[StacApiIO] _fallback_strategy: HrefLayoutStrategy = APILayoutStrategy() def __init__( self, id: str, description: str, title: Optional[str] = None, stac_extensions: Optional[List[str]] = None, extra_fields: Optional[Dict[str, Any]] = None, href: Optional[str] = None, catalog_type: CatalogType = CatalogType.ABSOLUTE_PUBLISHED, strategy: Optional[HrefLayoutStrategy] = None, *, modifier: Optional[Callable[[Modifiable], None]] = None, **kwargs: Dict[str, Any], ): super().__init__( id, description, title=title, stac_extensions=stac_extensions, extra_fields=extra_fields, href=href, catalog_type=catalog_type, strategy=strategy, **kwargs, ) self.modifier = modifier def __repr__(self) -> str: return "".format(self.id) @classmethod def open( cls, url: str, headers: Optional[Dict[str, str]] = None, parameters: Optional[Dict[str, Any]] = None, ignore_conformance: Optional[bool] = None, modifier: Optional[Callable[[Modifiable], None]] = None, request_modifier: Optional[Callable[[Request], Union[Request, None]]] = None, stac_io: Optional[StacApiIO] = None, timeout: Optional[Timeout] = None, ) -> "Client": """Opens a STAC Catalog or API This function will read the root catalog of a STAC Catalog or API Args: url : The URL of a STAC Catalog. headers : A dictionary of additional headers to use in all requests made to any part of this Catalog/API. parameters: Optional dictionary of query string parameters to include in all requests. ignore_conformance (DEPRECATED) : Ignore any advertised Conformance Classes in this Catalog/API. This means that functions will skip checking conformance, and may throw an unknown error if that feature is not supported, rather than a :class:`NotImplementedError`. .. deprecated:: 0.7.0 Conformance can be altered rather than ignored using methods like :meth:`clear_conforms_to` and :meth:`add_conforms_to` modifier : A callable that modifies the children collection and items returned by this Client. This can be useful for injecting authentication parameters into child assets to access data from non-public sources. The callable should expect a single argument, which will be one of the following types: * :class:`pystac.Collection` * :class:`pystac.Item` * :class:`pystac.ItemCollection` * A STAC item-like :class:`dict` * A STAC collection-like :class:`dict` The callable should mutate the argument in place and return ``None``. ``modifier`` propagates recursively to children of this Client. After getting a child collection with, e.g. :meth:`Client.get_collection`, the child items of that collection will still be signed with ``modifier``. request_modifier: A callable that either modifies a `Request` instance or returns a new one. This can be useful for injecting Authentication headers and/or signing fully-formed requests (e.g. signing requests using AWS SigV4). The callable should expect a single argument, which will be an instance of :class:`requests.Request`. If the callable returns a `requests.Request`, that will be used. Alternately, the callable may simply modify the provided request object and return `None`. stac_io: A `StacApiIO` object to use for I/O requests. Generally, leave this to the default. However in cases where customized I/O processing is required, a custom instance can be provided here. timeout: Optional float or (float, float) tuple following the semantics defined by `Requests `__. Return: catalog : A :class:`Client` instance for this Catalog/API """ client: Client = cls.from_file( url, headers=headers, parameters=parameters, modifier=modifier, request_modifier=request_modifier, stac_io=stac_io, timeout=timeout, ) if ignore_conformance is not None: warnings.warn( ( "The `ignore_conformance` option is deprecated and will be " "removed in the next major release. Instead use `set_conforms_to` " "or `add_conforms_to` to control behavior." ), FutureWarning, ) if not client.has_conforms_to(): warnings.warn(NoConformsTo()) return client @classmethod def from_file( # type: ignore cls, href: str, stac_io: Optional[StacApiIO] = None, headers: Optional[Dict[str, str]] = None, parameters: Optional[Dict[str, Any]] = None, modifier: Optional[Callable[[Modifiable], None]] = None, request_modifier: Optional[Callable[[Request], Union[Request, None]]] = None, timeout: Optional[Timeout] = None, ) -> "Client": """Open a STAC Catalog/API Returns: Client: A Client (PySTAC Catalog) of the root Catalog for this Catalog/API """ if stac_io is None: stac_io = StacApiIO( headers=headers, parameters=parameters, request_modifier=request_modifier, timeout=timeout, ) else: stac_io.update( headers=headers, parameters=parameters, request_modifier=request_modifier, timeout=timeout, ) client: Client = super().from_file(href, stac_io) client.modifier = modifier return client def has_conforms_to(self) -> bool: """Whether server contains list of ``"conformsTo"`` URIs""" return "conformsTo" in self.extra_fields def get_conforms_to(self) -> List[str]: """List of ``"conformsTo"`` URIs Return: List[str]: List of URIs that the server conforms to """ return cast(List[str], self.extra_fields.get("conformsTo", []).copy()) def set_conforms_to(self, conformance_uris: List[str]) -> None: """Set list of ``"conformsTo"`` URIs Args: conformance_uris : URIs indicating what the server conforms to """ self.extra_fields["conformsTo"] = conformance_uris def clear_conforms_to(self) -> None: """Clear list of ``"conformsTo"`` urls Removes the entire list, so :py:meth:`has_conforms_to` will return False after using this method. """ self.extra_fields.pop("conformsTo", None) def add_conforms_to(self, name: str) -> None: """Add ``"conformsTo"`` by name. Args: name : name of :py:class:`ConformanceClasses` keys to add. """ conformance_class = ConformanceClasses.get_by_name(name) if not self.conforms_to(conformance_class): self.set_conforms_to([*self.get_conforms_to(), conformance_class.valid_uri]) def remove_conforms_to(self, name: str) -> None: """Remove ``"conformsTo"`` by name. Args: name : name of :py:class:`ConformanceClasses` keys to remove. """ conformance_class = ConformanceClasses.get_by_name(name) self.set_conforms_to( [ uri for uri in self.get_conforms_to() if not re.match(conformance_class.pattern, uri) ] ) def conforms_to(self, conformance_class: Union[ConformanceClasses, str]) -> bool: """Checks whether the API conforms to the given standard. This method only checks against the ``"conformsTo"`` property from the API landing page and does not make any additional calls to a ``/conformance`` endpoint even if the API provides such an endpoint. Args: name : name of :py:class:`ConformanceClasses` keys to check conformance against. Return: bool: Indicates if the API conforms to the given spec or URI. """ if isinstance(conformance_class, str): conformance_class = ConformanceClasses.get_by_name(conformance_class) return any( re.match(conformance_class.pattern, uri) for uri in self.get_conforms_to() ) @classmethod def from_dict( cls, d: Dict[str, Any], href: Optional[str] = None, root: Optional[pystac.Catalog] = None, migrate: bool = False, preserve_dict: bool = True, modifier: Optional[Callable[[Modifiable], None]] = None, ) -> "Client": try: # this will return a Client because we have used a StacApiIO instance result = super().from_dict( d=d, href=href, root=root, migrate=migrate, preserve_dict=preserve_dict ) except pystac.STACTypeError: raise ClientTypeError( f"Could not open Client (href={href}), " f"expected type=Catalog, found type={d.get('type', None)}" ) result.modifier = modifier return result def _supports_collections(self) -> bool: return self.conforms_to(ConformanceClasses.COLLECTIONS) or self.conforms_to( ConformanceClasses.FEATURES ) def _warn_about_fallback(self, *args: str) -> None: if self.has_conforms_to(): warnings.warn(DoesNotConformTo(*args), stacklevel=2) warnings.warn(FallbackToPystac(), stacklevel=2) def get_merged_queryables(self, collections: List[str]) -> Dict[str, Any]: """Return the set of queryables in common to the specified collections. Queryables from multiple collections are unioned together, except in the case when the same queryable key has a different definition, in which case that key is dropped. Output is a dictionary that can be used in ``jsonshema.validate`` Args: collections List[str]: The IDs of the collections to inspect. Return: Dict[str, Any]: Dictionary containing queryable fields """ if not collections: raise ValueError("cannot get_merged_queryables from empty Iterable") if not self.conforms_to(ConformanceClasses.FILTER): raise DoesNotConformTo(ConformanceClasses.FILTER.name) response = self.get_queryables_from( self._get_collection_queryables_href(collections[0]) ) response.pop("$id") addl_props = response.get("additionalProperties", False) for collection in collections[1:]: resp = self.get_queryables_from( self._get_collection_queryables_href(collection) ) # additionalProperties is false if any collection doesn't support additional # properties addl_props &= resp.get("additionalProperties", False) # drop queryables if their keys match, but the descriptions differ for k in set(resp["properties"]).intersection(response["properties"]): if resp["properties"][k] != response["properties"][k]: resp["properties"].pop(k) response["properties"].pop(k) response["properties"].update(resp["properties"]) return response @lru_cache() def get_collection(self, collection_id: str) -> Union[Collection, CollectionClient]: """Get a single collection from this Catalog/API Args: collection_id: The Collection ID to get Returns: Union[Collection, CollectionClient]: A STAC Collection Raises: NotFoundError if collection_id does not exist. """ collection: Union[Collection, CollectionClient] if self._supports_collections(): assert self._stac_io is not None url = self._collections_href(collection_id) collection = CollectionClient.from_dict( self._stac_io.read_json(url), root=self, modifier=self.modifier, ) call_modifier(self.modifier, collection) else: self._warn_about_fallback("COLLECTIONS", "FEATURES") for collection in super().get_collections(): if collection.id == collection_id: call_modifier(self.modifier, collection) return collection def get_collections(self) -> Iterator[Collection]: """Get Collections in this Catalog Gets the collections from the /collections endpoint if supported, otherwise fall back to Catalog behavior of following child links Return: Iterator[Union[Collection, CollectionClient]]: Collections in Catalog/API """ collection: Union[Collection, CollectionClient] if self._supports_collections(): assert self._stac_io is not None url = self._collections_href() for page in self._stac_io.get_pages(url): if "collections" not in page: raise APIError("Invalid response from /collections") for col in page["collections"]: collection = CollectionClient.from_dict( col, root=self, modifier=self.modifier ) call_modifier(self.modifier, collection) yield collection else: self._warn_about_fallback("COLLECTIONS", "FEATURES") for collection in super().get_collections(): call_modifier(self.modifier, collection) yield collection def get_items( self, *ids: str, recursive: Optional[bool] = None ) -> Iterator["Item_Type"]: """Return all items of this catalog. Args: ids: Zero or more item ids to find. recursive: unused in pystac-client, but needed for falling back to pystac Return: Iterator[Item]: Iterator of items whose parent is this catalog. """ if self.conforms_to(ConformanceClasses.ITEM_SEARCH): search = self.search(ids=ids) yield from search.items() else: self._warn_about_fallback("ITEM_SEARCH") for item in super().get_items( *ids, recursive=recursive is None or recursive ): call_modifier(self.modifier, item) yield item def get_all_items(self) -> Iterator["Item_Type"]: """Get all items from this catalog and all subcatalogs. Will traverse any subcatalogs recursively, or use the /search endpoint if supported Returns: Iterator[Item]: All items that belong to this catalog, and all catalogs or collections connected to this catalog through child links. """ yield from self.get_items() def search( self, *, method: Optional[str] = "POST", max_items: Optional[int] = None, limit: Optional[int] = None, ids: Optional[IDsLike] = None, collections: Optional[CollectionsLike] = None, bbox: Optional[BBoxLike] = None, intersects: Optional[IntersectsLike] = None, datetime: Optional[DatetimeLike] = None, query: Optional[QueryLike] = None, filter: Optional[FilterLike] = None, filter_lang: Optional[FilterLangLike] = None, sortby: Optional[SortbyLike] = None, fields: Optional[FieldsLike] = None, ) -> ItemSearch: """Query the ``/search`` endpoint using the given parameters. This method returns an :class:`~pystac_client.ItemSearch` instance. See that class's documentation for details on how to get the number of matches and iterate over results. The ``url``, `stac_io``, and ``client`` keywords are supplied by this Client instance. .. warning:: This method is only implemented if the API conforms to the `STAC API - Item Search `__ spec *and* contains a link with a ``"rel"`` type of ``"search"`` in its root catalog. If the API does not meet either of these criteria, this method will raise a :exc:`NotImplementedError`. Args: method : The HTTP method to use when making a request to the service. This must be either ``"GET"``, ``"POST"``, or ``None``. If ``None``, this will default to ``"POST"``. If a ``"POST"`` request receives a ``405`` status for the response, it will automatically retry with ``"GET"`` for all subsequent requests. max_items : The maximum number of items to return from the search, even if there are more matching results. This client to limit the total number of Items returned from the :meth:`items`, :meth:`item_collections`, and :meth:`items_as_dicts methods`. The client will continue to request pages of items until the number of max items is reached. Setting this to ``None`` will allow iteration over a possibly very large number of results. limit: A recommendation to the service as to the number of items to return *per page* of results. Defaults to 100. ids: List of one or more Item ids to filter on. collections: List of one or more Collection IDs or :class:`pystac.Collection` instances. Only Items in one of the provided Collections will be searched bbox: A list, tuple, or iterator representing a bounding box of 2D or 3D coordinates. Results will be filtered to only those intersecting the bounding box. intersects: A string or dictionary representing a GeoJSON geometry, or an object that implements a ``__geo_interface__`` property, as supported by several libraries including Shapely, ArcPy, PySAL, and geojson. Results filtered to only those intersecting the geometry. datetime: Either a single datetime or datetime range used to filter results. You may express a single datetime using a :class:`datetime.datetime` instance, a `RFC 3339-compliant `__ timestamp, or a simple date string (see below). Instances of :class:`datetime.datetime` may be either timezone aware or unaware. Timezone aware instances will be converted to a UTC timestamp before being passed to the endpoint. Timezone unaware instances are assumed to represent UTC timestamps. You may represent a datetime range using a ``"/"`` separated string as described in the spec, or a list, tuple, or iterator of 2 timestamps or datetime instances. For open-ended ranges, use either ``".."`` (``'2020-01-01:00:00:00Z/..'``, ``['2020-01-01:00:00:00Z', '..']``) or a value of ``None`` (``['2020-01-01:00:00:00Z', None]``). If using a simple date string, the datetime can be specified in ``YYYY-mm-dd`` format, optionally truncating to ``YYYY-mm`` or just ``YYYY``. Simple date strings will be expanded to include the entire time period, for example: - ``2017`` expands to ``2017-01-01T00:00:00Z/2017-12-31T23:59:59Z`` - ``2017-06`` expands to ``2017-06-01T00:00:00Z/2017-06-30T23:59:59Z`` - ``2017-06-10`` expands to ``2017-06-10T00:00:00Z/2017-06-10T23:59:59Z`` If used in a range, the end of the range expands to the end of that day/month/year, for example: - ``2017/2018`` expands to ``2017-01-01T00:00:00Z/2018-12-31T23:59:59Z`` - ``2017-06/2017-07`` expands to ``2017-06-01T00:00:00Z/2017-07-31T23:59:59Z`` - ``2017-06-10/2017-06-11`` expands to ``2017-06-10T00:00:00Z/2017-06-11T23:59:59Z`` query: List or JSON of query parameters as per the STAC API `query` extension filter: JSON of query parameters as per the STAC API `filter` extension filter_lang: Language variant used in the filter body. If `filter` is a dictionary or not provided, defaults to 'cql2-json'. If `filter` is a string, defaults to `cql2-text`. sortby: A single field or list of fields to sort the response by fields: A list of fields to include in the response. Note this may result in invalid STAC objects, as they may not have required fields. Use `items_as_dicts` to avoid object unmarshalling errors. Returns: search : An ItemSearch instance that can be used to iterate through Items. Raises: NotImplementedError: If the API does not conform to the `Item Search spec `__ or does not have a link with a ``"rel"`` type of ``"search"``. """ if not self.conforms_to(ConformanceClasses.ITEM_SEARCH): raise DoesNotConformTo( "ITEM_SEARCH", "There is no fallback option available for search." ) return ItemSearch( url=self._search_href(), method=method, max_items=max_items, client=self, limit=limit, ids=ids, collections=collections, bbox=bbox, intersects=intersects, datetime=datetime, query=query, filter=filter, filter_lang=filter_lang, sortby=sortby, fields=fields, modifier=self.modifier, ) def get_search_link(self) -> Optional[pystac.Link]: """Returns this client's search link. Searches for a link with rel="search" and either a GEOJSON or JSON media type. Returns: Optional[pystac.Link]: The search link, or None if there is not one found. """ return next( ( link for link in self.links if link.rel == "search" and ( link.media_type == pystac.MediaType.GEOJSON or link.media_type == pystac.MediaType.JSON ) ), None, ) def _search_href(self) -> str: search_link = self.get_search_link() href = self._get_href("search", search_link, "search") return href def _collections_href(self, collection_id: Optional[str] = None) -> str: data_link = self.get_single_link("data") href = self._get_href("data", data_link, "collections") if collection_id is not None: return f"{href.rstrip('/')}/{collection_id}" return href def _get_collection_queryables_href( self, collection_id: Optional[str] = None ) -> str: href = self._collections_href(collection_id) return f"{href.rstrip('/')}/{QUERYABLES_ENDPOINT}" pystac-client-0.8.3/pystac_client/collection_client.py000066400000000000000000000172371464746411700232350ustar00rootroot00000000000000from __future__ import annotations import warnings from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Union, cast, ) import pystac from pystac.layout import APILayoutStrategy, HrefLayoutStrategy from pystac_client._utils import Modifiable, call_modifier from pystac_client.conformance import ConformanceClasses from pystac_client.exceptions import APIError from pystac_client.item_search import ItemSearch from pystac_client.mixins import QueryablesMixin from pystac_client.stac_api_io import StacApiIO from pystac_client.warnings import FallbackToPystac if TYPE_CHECKING: from pystac.item import Item as Item_Type from pystac_client import Client class CollectionClient(pystac.Collection, QueryablesMixin): modifier: Callable[[Modifiable], None] _stac_io: StacApiIO _fallback_strategy: HrefLayoutStrategy = APILayoutStrategy() def __init__( self, id: str, description: str, extent: pystac.Extent, title: Optional[str] = None, stac_extensions: Optional[List[str]] = None, href: Optional[str] = None, extra_fields: Optional[Dict[str, Any]] = None, catalog_type: Optional[pystac.CatalogType] = None, license: str = "proprietary", keywords: Optional[List[str]] = None, providers: Optional[List[pystac.Provider]] = None, summaries: Optional[pystac.Summaries] = None, assets: Optional[Dict[str, pystac.Asset]] = None, strategy: Optional[HrefLayoutStrategy] = None, *, modifier: Optional[Callable[[Modifiable], None]] = None, **kwargs: Dict[str, Any], ): super().__init__( id, description, extent, title, stac_extensions, href, extra_fields, catalog_type, license, keywords, providers, summaries, assets, strategy, **kwargs, ) # error: Cannot assign to a method [assignment] # https://github.com/python/mypy/issues/2427 setattr(self, "modifier", modifier) @classmethod def from_dict( cls, d: Dict[str, Any], href: Optional[str] = None, root: Optional[Union[pystac.Catalog, Client]] = None, migrate: bool = False, preserve_dict: bool = True, modifier: Optional[Callable[[Modifiable], None]] = None, ) -> "CollectionClient": result = super().from_dict(d, href, root, migrate, preserve_dict) # error: Cannot assign to a method [assignment] # https://github.com/python/mypy/issues/2427 setattr(result, "modifier", modifier) return result def __repr__(self) -> str: return "".format(self.id) def set_root(self, root: Optional[Union[pystac.Catalog, Client]]) -> None: # hook in to set_root and use it for setting _stac_io super().set_root(root=root) if root is None: raise ValueError("`CollectionClient.root` must be set") elif root._stac_io is not None and isinstance(root._stac_io, StacApiIO): self._stac_io = root._stac_io else: raise ValueError("`CollectionClient.root` must be a valid `Client` object") def get_root(self) -> Client: from pystac_client.client import Client root = super().get_root() if root is None or not isinstance(root, Client): raise ValueError( "`CollectionClient.root` is not have a valid `Client` object." ) return root def conforms_to(self, conformance_class: Union[ConformanceClasses, str]) -> bool: root = self.get_root() return root.conforms_to(conformance_class) def get_items(self, *ids: str, recursive: bool = False) -> Iterator["Item_Type"]: """Return all items in this Collection or specific items. If the Collection contains a link of with a `rel` value of `items`, that link will be used to iterate through items. Otherwise, the default PySTAC behavior is assumed. Args: ids: Items ids to retrieve recursive: If True, search every child collection as well as this one. Return: Iterator[Item]: Iterator of items whose parent is this catalog. """ if recursive is True: yield from super().get_items(*ids, recursive=True) else: root = self.get_root() if root.conforms_to(ConformanceClasses.ITEM_SEARCH): url = root._search_href() if ids else self._items_href() search = ItemSearch( url=url, method="GET", client=root, ids=ids, collections=[self.id], modifier=self.modifier, ) yield from search.items() else: root._warn_about_fallback("ITEM_SEARCH") for item in super().get_items(*ids): call_modifier(self.modifier, item) yield item def get_item(self, id: str, recursive: bool = False) -> Optional["Item_Type"]: """Returns an item with a given ID. If the collection conforms to [ogcapi-features](https://github.com/radiantearth/stac-api-spec/blob/738f4837ac6bea041dc226219e6d13b2c577fb19/ogcapi-features/README.md), this will use the `/collections/{collectionId}/items/{featureId}`. If not, and the collection conforms to [item search](https://github.com/radiantearth/stac-api-spec/blob/2d3c0cf644af9976eecbf32aec77b9a137268e12/item-search/README.md), this will use `/search?ids={featureId}&collections={collectionId}`. Otherwise, the default PySTAC behavior is used. Args: id : The ID of the item to find. recursive : If True, search this catalog and all children for the item; otherwise, only search the items of this catalog. Defaults to False. Return: Item or None: The item with the given ID, or None if not found. """ if not recursive: root = self.get_root() if root.conforms_to(ConformanceClasses.FEATURES) and self._stac_io: url = f"{self._items_href().rstrip('/')}/{id}" try: obj = self._stac_io.read_stac_object(url, root=self) item = cast(Optional[pystac.Item], obj) except APIError as err: if getattr(err, "status_code", None) and err.status_code == 404: return None else: raise err elif root.conforms_to(ConformanceClasses.ITEM_SEARCH) and self._stac_io: item_search = ItemSearch( url=root._search_href(), method="GET", client=root, ids=[id], collections=[self.id], modifier=self.modifier, ) item = next(item_search.items(), None) else: root._warn_about_fallback("FEATURES", "ITEM_SEARCH") item = super().get_item(id, recursive=False) else: warnings.warn(FallbackToPystac()) item = super().get_item(id, recursive=True) if item: call_modifier(self.modifier, item) return item def _items_href(self) -> str: link = self.get_single_link("items") href = self._get_href("items", link, "items") return href pystac-client-0.8.3/pystac_client/conformance.py000066400000000000000000000024541464746411700220310ustar00rootroot00000000000000from __future__ import annotations import re from enum import Enum class ConformanceClasses(Enum): """Enumeration class for Conformance Classes""" # defined conformance classes regexes CORE = "/core" COLLECTIONS = "/collections" # this is ogcapi-features instead of just features for historical reasons, # even thought this is a STAC API conformance class FEATURES = "/ogcapi-features" ITEM_SEARCH = "/item-search" CONTEXT = "/item-search#context" FIELDS = "/item-search#fields" SORT = "/item-search#sort" QUERY = "/item-search#query" FILTER = "/item-search#filter" @classmethod def get_by_name(cls, name: str) -> ConformanceClasses: for member in cls: if member.name == name.upper(): return member raise ValueError( f"Invalid conformance class '{name}'. Options are: {list(cls)}" ) def __str__(self) -> str: return f"{self.name}" def __repr__(self) -> str: return str(self) @property def valid_uri(self) -> str: return f"https://api.stacspec.org/v1.0.*{self.value}" @property def pattern(self) -> re.Pattern[str]: return re.compile( rf"{re.escape('https://api.stacspec.org/v1.0.')}(.*){re.escape(self.value)}" ) pystac-client-0.8.3/pystac_client/errors.py000066400000000000000000000003661464746411700210530ustar00rootroot00000000000000class ClientTypeError(Exception): """Raised when trying to open a Client on a non-catalog STAC Object.""" pass class IgnoredResultWarning(RuntimeWarning): """ Warning raised when a 'modifier' callable returns a result. """ pystac-client-0.8.3/pystac_client/exceptions.py000066400000000000000000000007011464746411700217110ustar00rootroot00000000000000from typing import Optional from requests import Response class APIError(Exception): """Raised when unexpected server error.""" status_code: Optional[int] @classmethod def from_response(cls, response: Response) -> "APIError": error = cls(response.text) error.status_code = response.status_code return error class ParametersError(Exception): """Raised when invalid parameters are used in a query""" pystac-client-0.8.3/pystac_client/item_search.py000066400000000000000000001002731464746411700220200ustar00rootroot00000000000000import json import re import warnings from collections.abc import Iterable, Mapping from copy import deepcopy from datetime import datetime as datetime_ from datetime import timezone from functools import lru_cache from itertools import chain from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Protocol, Tuple, Union, ) from dateutil.relativedelta import relativedelta from dateutil.tz import tzutc from pystac import Collection, Item, ItemCollection from requests import Request from pystac_client._utils import Modifiable, call_modifier from pystac_client.conformance import ConformanceClasses from pystac_client.stac_api_io import StacApiIO from pystac_client.warnings import DoesNotConformTo if TYPE_CHECKING: from pystac_client import client as _client DATETIME_REGEX = re.compile( r"^(?P\d{4})(-(?P\d{2})(-(?P\d{2})" r"(?P([Tt])\d{2}:\d{2}:\d{2}(\.\d+)?" r"(?P[Zz]|([-+])(\d{2}):(\d{2}))?)?)?)?$" ) class GeoInterface(Protocol): @property def __geo_interface__(self) -> Dict[str, Any]: ... DatetimeOrTimestamp = Optional[Union[datetime_, str]] Datetime = str DatetimeLike = Union[ DatetimeOrTimestamp, Tuple[DatetimeOrTimestamp, DatetimeOrTimestamp], List[DatetimeOrTimestamp], Iterator[DatetimeOrTimestamp], ] BBox = Tuple[float, ...] BBoxLike = Union[BBox, List[float], Iterator[float], str] Collections = Tuple[str, ...] CollectionsLike = Union[List[str], Iterator[str], str] IDs = Tuple[str, ...] IDsLike = Union[IDs, str, List[str], Iterator[str]] Intersects = Dict[str, Any] IntersectsLike = Union[str, GeoInterface, Intersects] Query = Dict[str, Any] QueryLike = Union[Query, List[str]] FilterLangLike = str FilterLike = Union[Dict[str, Any], str] Sortby = List[Dict[str, str]] SortbyLike = Union[Sortby, str, List[str]] Fields = Dict[str, List[str]] FieldsLike = Union[Fields, str, List[str]] # these cannot be reordered or parsing will fail! OP_MAP = { ">=": "gte", "<=": "lte", "=": "eq", "<>": "neq", ">": "gt", "<": "lt", } OPS = list(OP_MAP.keys()) def __getattr__(name: str) -> Any: if name in ("DEFAUL_LIMIT", "DEFAULT_LIMIT_AND_MAX_ITEMS"): warnings.warn( f"{name} is deprecated and will be removed in v0.8", DeprecationWarning ) return 100 raise AttributeError(f"module {__name__} has no attribute {name}") # from https://gist.github.com/angstwad/bf22d1822c38a92ec0a9#gistcomment-2622319 def dict_merge( dct: Dict[Any, Any], merge_dct: Dict[Any, Any], add_keys: bool = True ) -> Dict[Any, Any]: """Recursive dict merge. Inspired by :meth:``dict.update()``, instead of updating only top-level keys, dict_merge recurses down into dicts nested to an arbitrary depth, updating keys. The ``merge_dct`` is merged into ``dct``. This version will return a copy of the dictionary and leave the original arguments untouched. The optional argument ``add_keys``, determines whether keys which are present in ``merge_dict`` but not ``dct`` should be included in the new dict. Args: dct (dict) onto which the merge is executed merge_dct (dict): dct merged into dct add_keys (bool): whether to add new keys Return: dict: updated dict """ dct = dct.copy() if not add_keys: merge_dct = {k: merge_dct[k] for k in set(dct).intersection(set(merge_dct))} for k, v in merge_dct.items(): if k in dct and isinstance(dct[k], dict) and isinstance(merge_dct[k], Mapping): dct[k] = dict_merge(dct[k], merge_dct[k], add_keys=add_keys) else: dct[k] = merge_dct[k] return dct class ItemSearch: """Represents a deferred query to a STAC search endpoint as described in the `STAC API - Item Search spec `__. No request is sent to the API until a method is called to iterate through the resulting STAC Items, either :meth:`ItemSearch.item_collections`, :meth:`ItemSearch.items`, or :meth:`ItemSearch.items_as_dicts`. All parameters except `url``, ``method``, ``max_items``, and ``client`` correspond to query parameters described in the `STAC API - Item Search: Query Parameters Table `__ docs. Please refer to those docs for details on how these parameters filter search results. Args: url: The URL to the search page of the STAC API. method : The HTTP method to use when making a request to the service. This must be either ``"GET"``, ``"POST"``, or ``None``. If ``None``, this will default to ``"POST"``. If a ``"POST"`` request receives a ``405`` status for the response, it will automatically retry with ``"GET"`` for all subsequent requests. max_items : The maximum number of items to return from the search, even if there are more matching results. This allows the client to limit the total number of Items returned from the :meth:`items`, :meth:`item_collections`, and :meth:`items_as_dicts methods`. The client will continue to request pages of items until the number of max items is reached. By default (``max_items=None``) all items matching the query will be returned. stac_io: An instance of StacIO for retrieving results. Normally comes from the Client that returns this ItemSearch client: An instance of a root Client used to set the root on resulting Items. client: An instance of Client for retrieving results. This is normally populated by the client that returns this ItemSearch instance. limit: A recommendation to the service as to the number of items to return *per page* of results. Defaults to 100. ids: List of one or more Item ids to filter on. collections: List of one or more Collection IDs or :class:`pystac.Collection` instances. bbox: A list, tuple, or iterator representing a bounding box of 2D or 3D coordinates. Results will be filtered to only those intersecting the bounding box. intersects: A string or dictionary representing a GeoJSON geometry or feature, or an object that implements a ``__geo_interface__`` property, as supported by several libraries including Shapely, ArcPy, PySAL, and geojson. Results filtered to only those intersecting the geometry. datetime: Either a single datetime or datetime range used to filter results. You may express a single datetime using a :class:`datetime.datetime` instance, a `RFC 3339-compliant `__ timestamp, or a simple date string (see below). Instances of :class:`datetime.datetime` may be either timezone aware or unaware. Timezone aware instances will be converted to a UTC timestamp before being passed to the endpoint. Timezone unaware instances are assumed to represent UTC timestamps. You may represent a datetime range using a ``"/"`` separated string as described in the spec, or a list, tuple, or iterator of 2 timestamps or datetime instances. For open-ended ranges, use either ``".."`` (``'2020-01-01:00:00:00Z/..'``, ``['2020-01-01:00:00:00Z', '..']``) or a value of ``None`` (``['2020-01-01:00:00:00Z', None]``). If using a simple date string, the datetime can be specified in ``YYYY-mm-dd`` format, optionally truncating to ``YYYY-mm`` or just ``YYYY``. Simple date strings will be expanded to include the entire time period, for example: - ``2017`` expands to ``2017-01-01T00:00:00Z/2017-12-31T23:59:59Z`` - ``2017-06`` expands to ``2017-06-01T00:00:00Z/2017-06-30T23:59:59Z`` - ``2017-06-10`` expands to ``2017-06-10T00:00:00Z/2017-06-10T23:59:59Z`` If used in a range, the end of the range expands to the end of that day/month/year, for example: - ``2017/2018`` expands to ``2017-01-01T00:00:00Z/2018-12-31T23:59:59Z`` - ``2017-06/2017-07`` expands to ``2017-06-01T00:00:00Z/2017-07-31T23:59:59Z`` - ``2017-06-10/2017-06-11`` expands to ``2017-06-10T00:00:00Z/2017-06-11T23:59:59Z`` query: List or JSON of query parameters as per the STAC API `query` extension filter: JSON of query parameters as per the STAC API `filter` extension filter_lang: Language variant used in the filter body. If `filter` is a dictionary or not provided, defaults to 'cql2-json'. If `filter` is a string, defaults to `cql2-text`. sortby: A single field or list of fields to sort the response by fields: A list of fields to include in the response. Note this may result in invalid STAC objects, as they may not have required fields. Use `items_as_dicts` to avoid object unmarshalling errors. modifier : A callable that modifies the children collection and items returned by this Client. This can be useful for injecting authentication parameters into child assets to access data from non-public sources. The callable should expect a single argument, which will be one of the following types: * :class:`pystac.Collection` * :class:`pystac.Item` * :class:`pystac.ItemCollection` * A STAC item-like :class:`dict` * A STAC collection-like :class:`dict` The callable should mutate the argument in place and return ``None``. ``modifier`` propagates recursively to children of this Client. After getting a child collection with, e.g. :meth:`Client.get_collection`, the child items of that collection will still be signed with ``modifier``. """ _stac_io: StacApiIO def __init__( self, url: str, *, method: Optional[str] = "POST", max_items: Optional[int] = None, stac_io: Optional[StacApiIO] = None, client: Optional["_client.Client"] = None, limit: Optional[int] = None, ids: Optional[IDsLike] = None, collections: Optional[CollectionsLike] = None, bbox: Optional[BBoxLike] = None, intersects: Optional[IntersectsLike] = None, datetime: Optional[DatetimeLike] = None, query: Optional[QueryLike] = None, filter: Optional[FilterLike] = None, filter_lang: Optional[FilterLangLike] = None, sortby: Optional[SortbyLike] = None, fields: Optional[FieldsLike] = None, modifier: Optional[Callable[[Modifiable], None]] = None, ): self.url = url self.client = client if client and client._stac_io is not None and stac_io is None: self._stac_io = client._stac_io if not client.conforms_to(ConformanceClasses.ITEM_SEARCH): warnings.warn(DoesNotConformTo("ITEM_SEARCH")) else: self._stac_io = stac_io or StacApiIO() self._max_items = max_items if self._max_items is not None and limit is not None: limit = min(limit, self._max_items) if limit is not None and (limit < 1 or limit > 10000): raise Exception(f"Invalid limit of {limit}, must be between 1 and 10,000") self.method = method self.modifier = modifier params = { "limit": limit, "bbox": self._format_bbox(bbox), "datetime": self._format_datetime(datetime), "ids": self._format_ids(ids), "collections": self._format_collections(collections), "intersects": self._format_intersects(intersects), "query": self._format_query(query), "filter": self._format_filter(filter), "filter-lang": self._format_filter_lang(filter, filter_lang), "sortby": self._format_sortby(sortby), "fields": self._format_fields(fields), } self._parameters: Dict[str, Any] = { k: v for k, v in params.items() if v is not None } def get_parameters(self) -> Dict[str, Any]: if self.method == "POST": return self._parameters elif self.method == "GET": return self._clean_params_for_get_request() else: raise Exception(f"Unsupported method {self.method}") def _clean_params_for_get_request(self) -> Dict[str, Any]: params = deepcopy(self._parameters) if "bbox" in params: params["bbox"] = ",".join(map(str, params["bbox"])) if "ids" in params: params["ids"] = ",".join(params["ids"]) if "collections" in params: params["collections"] = ",".join(params["collections"]) if "intersects" in params: params["intersects"] = json.dumps( params["intersects"], separators=(",", ":") ) if "query" in params: params["query"] = json.dumps(params["query"], separators=(",", ":")) if "sortby" in params: params["sortby"] = self._sortby_dict_to_str(params["sortby"]) if "fields" in params: params["fields"] = self._fields_dict_to_str(params["fields"]) return params def url_with_parameters(self) -> str: """Returns this item search url with parameters, appropriate for a GET request. Examples: >>> search = ItemSearch( ... url="https://planetarycomputer.microsoft.com/api/stac/v1/search", ... collections=["cop-dem-glo-30"], ... bbox=[88.214, 27.927, 88.302, 28.034], ... ) >>> assert ( ... search.url_with_parameters() ... == "https://planetarycomputer.microsoft.com/api/stac/v1/search?" ... "limit=100&bbox=88.214,27.927,88.302,28.034&collections=cop-dem-glo-30" ... ) Returns: str: The search url with parameters. """ params = self._clean_params_for_get_request() request = Request("GET", self.url, params=params) url = request.prepare().url if url is None: raise ValueError("Could not construct a full url") return url def _format_query(self, value: Optional[QueryLike]) -> Optional[Dict[str, Any]]: if value is None: return None if self.client and not self.client.conforms_to(ConformanceClasses.QUERY): warnings.warn(DoesNotConformTo("QUERY")) if isinstance(value, dict): return value elif isinstance(value, list): query: Dict[str, Any] = {} for q in value: if isinstance(q, str): try: query = dict_merge(query, json.loads(q)) except json.decoder.JSONDecodeError: for op in OPS: parts = q.split(op) if len(parts) == 2: param = parts[0] val: Union[str, float] = parts[1] if param == "gsd": val = float(val) query = dict_merge(query, {parts[0]: {OP_MAP[op]: val}}) break else: raise Exception("Unsupported query format, must be a List[str].") else: raise Exception("Unsupported query format, must be a Dict or List[str].") return query @staticmethod def _format_filter_lang( _filter: Optional[FilterLike], value: Optional[FilterLangLike] ) -> Optional[str]: if _filter is None: return None if value is not None: return value if isinstance(_filter, str): return "cql2-text" if isinstance(_filter, dict): return "cql2-json" return None def _format_filter(self, value: Optional[FilterLike]) -> Optional[FilterLike]: if value is None: return None if self.client and not self.client.conforms_to(ConformanceClasses.FILTER): warnings.warn(DoesNotConformTo("FILTER")) return value @staticmethod def _format_bbox(value: Optional[BBoxLike]) -> Optional[BBox]: if value is None: return None if isinstance(value, str): bbox = tuple(map(float, value.split(","))) else: bbox = tuple(map(float, value)) return bbox @staticmethod def _to_utc_isoformat(dt: datetime_) -> str: if dt.tzinfo is not None: dt = dt.astimezone(timezone.utc) dt = dt.replace(tzinfo=None) return f'{dt.isoformat("T")}Z' def _to_isoformat_range( self, component: DatetimeOrTimestamp, ) -> Tuple[str, Optional[str]]: """Converts a single DatetimeOrTimestamp into one or two Datetimes. This is required to expand a single value like "2017" out to the whole year. This function returns two values. The first value is always a valid Datetime. The second value can be None or a Datetime. If it is None, this means that the first value was an exactly specified value (e.g. a `datetime.datetime`). If the second value is a Datetime, then it will be the end of the range at the resolution of the component, e.g. if the component were "2017" the second value would be the last second of the last day of 2017. """ if component is None: return "..", None elif isinstance(component, str): if component == "..": return component, None elif component == "": return "..", None match = DATETIME_REGEX.match(component) if not match: raise Exception(f"invalid datetime component: {component}") elif match.group("remainder"): if match.group("tz_info"): return component, None else: return f"{component}Z", None else: year = int(match.group("year")) optional_month = match.group("month") optional_day = match.group("day") if optional_day is not None: start = datetime_( year, int(optional_month), int(optional_day), 0, 0, 0, tzinfo=tzutc(), ) end = start + relativedelta(days=1, seconds=-1) elif optional_month is not None: start = datetime_(year, int(optional_month), 1, 0, 0, 0, tzinfo=tzutc()) end = start + relativedelta(months=1, seconds=-1) else: start = datetime_(year, 1, 1, 0, 0, 0, tzinfo=tzutc()) end = start + relativedelta(years=1, seconds=-1) return self._to_utc_isoformat(start), self._to_utc_isoformat(end) else: return self._to_utc_isoformat(component), None def _format_datetime(self, value: Optional[DatetimeLike]) -> Optional[Datetime]: if value is None: return None elif isinstance(value, datetime_): return self._to_utc_isoformat(value) elif isinstance(value, str): components = value.split("/") else: components = list(value) # type: ignore if not components: return None elif len(components) == 1: if components[0] is None: raise Exception("cannot create a datetime query with None") start, end = self._to_isoformat_range(components[0]) if end is not None: return f"{start}/{end}" else: return start elif len(components) == 2: if all(c is None for c in components): raise Exception("cannot create a double open-ended interval") start, _ = self._to_isoformat_range(components[0]) backup_end, end = self._to_isoformat_range(components[1]) return f"{start}/{end or backup_end}" else: raise Exception( "too many datetime components " f"(max=2, actual={len(components)}): {value}" ) @staticmethod def _format_collections(value: Optional[CollectionsLike]) -> Optional[Collections]: def _format(c: Any) -> Collections: if isinstance(c, str): return (c,) if isinstance(c, Iterable): return tuple(map(lambda x: _format(x)[0], c)) return (c.id,) if value is None: return None if isinstance(value, str): return tuple(map(lambda x: _format(x)[0], value.split(","))) if isinstance(value, Collection): return _format(value) return _format(value) @staticmethod def _format_ids(value: Optional[IDsLike]) -> Optional[IDs]: if value is None or isinstance(value, (tuple, list)) and not value: # We can't just check for truthiness here because of the Iterator[str] case return None elif isinstance(value, str): # We could check for str in the first branch, but then we'd be checking # for str twice #microoptimizations if value: return tuple(value.split(",")) else: return None else: return tuple(value) def _format_sortby(self, value: Optional[SortbyLike]) -> Optional[Sortby]: if value is None: return None if self.client and not self.client.conforms_to(ConformanceClasses.SORT): warnings.warn(DoesNotConformTo("SORT")) if isinstance(value, str): return [self._sortby_part_to_dict(part) for part in value.split(",")] if isinstance(value, list): if value and isinstance(value[0], str): return [self._sortby_part_to_dict(str(v)) for v in value] elif value and isinstance(value[0], dict): return value # type: ignore raise Exception( "sortby must be of type None, str, List[str], or List[Dict[str, str]" ) @staticmethod def _sortby_part_to_dict(part: str) -> Dict[str, str]: if part.startswith("-"): return {"field": part[1:], "direction": "desc"} elif part.startswith("+"): return {"field": part[1:], "direction": "asc"} else: return {"field": part, "direction": "asc"} @staticmethod def _sortby_dict_to_str(sortby: Sortby) -> str: return ",".join( [ f"{'+' if sort['direction'] == 'asc' else '-'}{sort['field']}" for sort in sortby ] ) def _format_fields(self, value: Optional[FieldsLike]) -> Optional[Fields]: if value is None: return None if self.client and not self.client.conforms_to(ConformanceClasses.FIELDS): warnings.warn(DoesNotConformTo("FIELDS")) if isinstance(value, str): return self._fields_to_dict(value.split(",")) if isinstance(value, list): return self._fields_to_dict(value) if isinstance(value, dict): return value raise Exception( "sortby must be of type None, str, List[str], or List[Dict[str, str]" ) @staticmethod def _fields_to_dict(fields: List[str]) -> Fields: includes: List[str] = [] excludes: List[str] = [] for field in fields: if field.startswith("-"): excludes.append(field[1:]) elif field.startswith("+"): includes.append(field[1:]) else: includes.append(field) return {"include": includes, "exclude": excludes} @staticmethod def _fields_dict_to_str(fields: Fields) -> str: includes = [f"+{x}" for x in fields.get("include", [])] excludes = [f"-{x}" for x in fields.get("exclude", [])] return ",".join(chain(includes, excludes)) @staticmethod def _format_intersects(value: Optional[IntersectsLike]) -> Optional[Intersects]: if value is None: return None if isinstance(value, dict): if value.get("type") == "Feature": return deepcopy(value.get("geometry")) else: return deepcopy(value) if isinstance(value, str): return dict(json.loads(value)) if hasattr(value, "__geo_interface__"): return dict(deepcopy(getattr(value, "__geo_interface__"))) raise Exception( "intersects must be of type None, str, dict, or an object that " "implements __geo_interface__" ) @lru_cache(1) def matched(self) -> Optional[int]: """Return number matched for search Returns the value from the `numberMatched` or `context.matched` field. Not all APIs will support counts in which case a warning will be issued Returns: int: Total count of matched items. If counts are not supported `None` is returned. """ params = {**self.get_parameters(), "limit": 1} resp = self._stac_io.read_json(self.url, method=self.method, parameters=params) found = None if "context" in resp: found = resp["context"].get("matched", None) elif "numberMatched" in resp: found = resp["numberMatched"] if found is None: warnings.warn("numberMatched or context.matched not in response") return found # ------------------------------------------------------------------------ # Result sets # ------------------------------------------------------------------------ # By item def items(self) -> Iterator[Item]: """Iterator that yields :class:`pystac.Item` instances for each item matching the given search parameters. Yields: Item : each Item matching the search criteria """ for item in self.items_as_dicts(): # already signed in items_as_dicts yield Item.from_dict(item, root=self.client, preserve_dict=False) def items_as_dicts(self) -> Iterator[Dict[str, Any]]: """Iterator that yields :class:`dict` instances for each item matching the given search parameters. Yields: Item : each Item matching the search criteria """ for page in self.pages_as_dicts(): for item in page.get("features", []): # already signed in pages_as_dicts yield item # ------------------------------------------------------------------------ # By Page def pages(self) -> Iterator[ItemCollection]: """Iterator that yields ItemCollection objects. Each ItemCollection is a page of results from the search. Yields: ItemCollection : a group of Items matching the search criteria within an ItemCollection """ if isinstance(self._stac_io, StacApiIO): for page in self.pages_as_dicts(): # already signed in pages_as_dicts yield ItemCollection.from_dict( page, preserve_dict=False, root=self.client ) def pages_as_dicts(self) -> Iterator[Dict[str, Any]]: """Iterator that yields :class:`dict` instances for each page of results from the search. Yields: Dict : a group of items matching the search criteria as a feature-collection-like dictionary. """ if isinstance(self._stac_io, StacApiIO): num_items = 0 for page in self._stac_io.get_pages( self.url, self.method, self.get_parameters() ): call_modifier(self.modifier, page) features = page.get("features", []) if features: num_items += len(features) if self._max_items and num_items > self._max_items: # Slice the features down to make sure we hit max_items page["features"] = features[0 : -(num_items - self._max_items)] yield page if self._max_items and num_items >= self._max_items: return else: return # ------------------------------------------------------------------------ # Everything @lru_cache(1) def item_collection(self) -> ItemCollection: """ Get the matching items as a :py:class:`pystac.ItemCollection`. Return: ItemCollection: The item collection """ # Bypass the cache here, so that we can pass __preserve_dict__ # without mutating what's in the cache. feature_collection = self.item_collection_as_dict.__wrapped__(self) # already signed in item_collection_as_dict return ItemCollection.from_dict( feature_collection, preserve_dict=False, root=self.client ) @lru_cache(1) def item_collection_as_dict(self) -> Dict[str, Any]: """ Get the matching items as an item-collection-like dict. The dictionary will have two keys: 1. ``'type'`` with the value ``'FeatureCollection'`` 2. ``'features'`` with the value being a list of dictionaries for the matching items. Return: Dict : A GeoJSON FeatureCollection """ features = [] for page in self.pages_as_dicts(): for feature in page["features"]: features.append(feature) feature_collection = {"type": "FeatureCollection", "features": features} return feature_collection # Deprecated methods # not caching these, since they're cached in the implementation def get_item_collections(self) -> Iterator[ItemCollection]: """DEPRECATED .. deprecated:: 0.4.0 Use :meth:`ItemSearch.pages` instead. Yields: ItemCollection : a group of Items matching the search criteria. """ warnings.warn( "get_item_collections() is deprecated, use pages() instead", FutureWarning, ) return self.pages() def item_collections(self) -> Iterator[ItemCollection]: """DEPRECATED .. deprecated:: 0.5.0 Use :meth:`ItemSearch.pages` instead. Yields: ItemCollection : a group of Items matching the search criteria within an ItemCollection """ warnings.warn( "item_collections() is deprecated, use pages() instead", FutureWarning, ) return self.pages() def get_items(self) -> Iterator[Item]: """DEPRECATED. .. deprecated:: 0.4.0 Use :meth:`ItemSearch.items` instead. Yields: Item : each Item matching the search criteria """ warnings.warn( "get_items() is deprecated, use items() instead", FutureWarning, ) return self.items() def get_all_items(self) -> ItemCollection: """DEPRECATED .. deprecated:: 0.4.0 Use :meth:`ItemSearch.item_collection` instead. Return: item_collection : ItemCollection """ warnings.warn( "get_all_items() is deprecated, use item_collection() instead.", FutureWarning, ) return self.item_collection() def get_all_items_as_dict(self) -> Dict[str, Any]: """DEPRECATED .. deprecated:: 0.4.0 Use :meth:`ItemSearch.item_collection_as_dict` instead. Return: Dict : A GeoJSON FeatureCollection """ warnings.warn( "get_all_items_as_dict() is deprecated, use item_collection_as_dict() " "instead.", FutureWarning, ) return self.item_collection_as_dict() pystac-client-0.8.3/pystac_client/mixins.py000066400000000000000000000042511464746411700210430ustar00rootroot00000000000000import warnings from typing import Any, Dict, Optional, Union import pystac from pystac_client.conformance import ConformanceClasses from pystac_client.exceptions import APIError from pystac_client.stac_api_io import StacApiIO from pystac_client.warnings import DoesNotConformTo, MissingLink QUERYABLES_REL = "http://www.opengis.net/def/rel/ogc/1.0/queryables" QUERYABLES_ENDPOINT = "queryables" class StacAPIObject(pystac.STACObject): _stac_io: Optional[StacApiIO] def conforms_to(self, conformance_class: Union[str, ConformanceClasses]) -> bool: raise NotImplementedError class BaseMixin(StacAPIObject): def _get_href(self, rel: str, link: Optional[pystac.Link], endpoint: str) -> str: if link and isinstance(link.href, str): href = link.absolute_href else: warnings.warn(MissingLink(rel, self.__class__.__name__), stacklevel=2) href = f"{self.self_href.rstrip('/')}/{endpoint}" return href class QueryablesMixin(BaseMixin): """Mixin for adding support for /queryables endpoint""" def get_queryables_from(self, url: str) -> Dict[str, Any]: """Return all queryables. Output is a dictionary that can be used in ``jsonshema.validate`` Args: url: a queryables url Return: Dict[str, Any]: Dictionary containing queryable fields """ if self._stac_io is None: raise APIError("API access is not properly configured") result = self._stac_io.read_json(url) if "properties" not in result: raise APIError( f"Invalid response from {QUERYABLES_ENDPOINT}: " "expected 'properties' attribute" ) return result def get_queryables(self) -> Dict[str, Any]: url = self._get_queryables_href() return self.get_queryables_from(url) def _get_queryables_href(self) -> str: if not self.conforms_to(ConformanceClasses.FILTER): raise DoesNotConformTo(ConformanceClasses.FILTER.name) link = self.get_single_link(QUERYABLES_REL) href = self._get_href(QUERYABLES_REL, link, QUERYABLES_ENDPOINT) return href pystac-client-0.8.3/pystac_client/py.typed000066400000000000000000000000001464746411700206450ustar00rootroot00000000000000pystac-client-0.8.3/pystac_client/stac_api_io.py000066400000000000000000000307411464746411700220110ustar00rootroot00000000000000import json import logging import warnings from copy import deepcopy from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Tuple, Union, ) from urllib.parse import urlparse import pystac from pystac.link import Link from pystac.serialization import ( identify_stac_object, identify_stac_object_type, merge_common_properties, migrate_to_latest, ) from pystac.stac_io import DefaultStacIO from requests import Request, Session from requests.adapters import HTTPAdapter from urllib3 import Retry import pystac_client from .exceptions import APIError if TYPE_CHECKING: from pystac.catalog import Catalog as Catalog_Type from pystac.stac_object import STACObject as STACObject_Type logger = logging.getLogger(__name__) Timeout = Union[float, Tuple[float, float], Tuple[float, None]] class StacApiIO(DefaultStacIO): def __init__( self, headers: Optional[Dict[str, str]] = None, conformance: Optional[List[str]] = None, parameters: Optional[Dict[str, Any]] = None, request_modifier: Optional[Callable[[Request], Union[Request, None]]] = None, timeout: Optional[Timeout] = None, max_retries: Optional[Union[int, Retry]] = 5, ): """Initialize class for API IO Args: headers : Optional dictionary of headers to include in all requests conformance (DEPRECATED) : Optional list of `Conformance Classes `__. .. deprecated:: 0.7.0 Conformance can be altered on the client class directly parameters: Optional dictionary of query string parameters to include in all requests. request_modifier: Optional callable that can be used to modify Request objects before they are sent. If provided, the callable receives a `request.Request` and must either modify the object directly or return a new / modified request instance. timeout: Optional float or (float, float) tuple following the semantics defined by `Requests `__. max_retries: The number of times to retry requests. Set to ``None`` to disable retries. Return: StacApiIO : StacApiIO instance """ # TODO - this should super() to parent class if conformance is not None: warnings.warn( ( "The `conformance` option is deprecated and will be " "removed in the next major release. Instead use " "`Client.set_conforms_to` or `Client.add_conforms_to` to control " "behavior." ), category=FutureWarning, ) self.session = Session() if max_retries: self.session.mount("http://", HTTPAdapter(max_retries=max_retries)) self.session.mount("https://", HTTPAdapter(max_retries=max_retries)) self.timeout = timeout self.update( headers=headers, parameters=parameters, request_modifier=request_modifier, timeout=timeout, ) def update( self, headers: Optional[Dict[str, str]] = None, parameters: Optional[Dict[str, Any]] = None, request_modifier: Optional[Callable[[Request], Union[Request, None]]] = None, timeout: Optional[Timeout] = None, ) -> None: """Updates this StacApi's headers, parameters, and/or request_modifer. Args: headers : Optional dictionary of headers to include in all requests parameters: Optional dictionary of query string parameters to include in all requests. request_modifier: Optional callable that can be used to modify Request objects before they are sent. If provided, the callable receives a `request.Request` and must either modify the object directly or return a new / modified request instance. timeout: Optional float or (float, float) tuple following the semantics defined by `Requests `__. """ self.session.headers.update(headers or {}) self.session.params.update(parameters or {}) # type: ignore self._req_modifier = request_modifier self.timeout = timeout def read_text(self, source: pystac.link.HREF, *args: Any, **kwargs: Any) -> str: """Read text from the given URI. Overwrites the default method for reading text from a URL or file to allow :class:`urllib.request.Request` instances as input. This method also raises any :exc:`urllib.error.HTTPError` exceptions rather than catching them to allow us to handle different response status codes as needed. """ if isinstance(source, Link): link = source.to_dict() href = link["href"] # get headers and body from Link and add to request from simple STAC # resolver merge = bool(link.get("merge", False)) # If the link object includes a "method" property, use that. If not # fall back to 'GET'. method = link.get("method", "GET") # If the link object includes a "headers" property, use that and # respect the "merge" property. headers = link.get("headers", None) # If "POST" use the body object that and respect the "merge" property. link_body = link.get("body", {}) if method == "POST": parameters = ( {**(kwargs.get("parameters", {})), **link_body} if merge else link_body ) else: # parameters are already in the link href parameters = {} return self.request( href, method=method, headers=headers, parameters=parameters ) else: # str or something that can be str'ed href = str(source) if _is_url(href): return self.request(href, *args, **kwargs) else: with open(href) as f: href_contents = f.read() return href_contents def request( self, href: str, method: Optional[str] = None, headers: Optional[Dict[str, str]] = None, parameters: Optional[Dict[str, Any]] = None, ) -> str: """Makes a request to an http endpoint Args: href (str): The request URL method (Optional[str], optional): The http method to use, 'GET' or 'POST'. Defaults to None, which will result in 'GET' being used. headers (Optional[Dict[str, str]], optional): Additional headers to include in request. Defaults to None. parameters (Optional[Dict[str, Any]], optional): parameters to send with request. Defaults to None. Raises: APIError: raised if the server returns an error response Return: str: The decoded response from the endpoint """ if method == "POST": request = Request(method=method, url=href, headers=headers, json=parameters) else: params = deepcopy(parameters) or {} request = Request(method="GET", url=href, headers=headers, params=params) try: modified = self._req_modifier(request) if self._req_modifier else None prepped = self.session.prepare_request(modified or request) msg = f"{prepped.method} {prepped.url} Headers: {prepped.headers}" if method == "POST": msg += f" Payload: {json.dumps(request.json)}" if self.timeout is not None: msg += f" Timeout: {self.timeout}" logger.debug(msg) send_kwargs = self.session.merge_environment_settings( prepped.url, proxies={}, stream=None, verify=True, cert=None ) resp = self.session.send(prepped, timeout=self.timeout, **send_kwargs) except Exception as err: logger.debug(err) raise APIError(str(err)) if resp.status_code != 200: raise APIError.from_response(resp) try: return resp.content.decode("utf-8") except Exception as err: raise APIError(str(err)) def write_text_to_href(self, href: str, *args: Any, **kwargs: Any) -> None: if _is_url(href): raise APIError("Transactions not supported") else: return super().write_text_to_href(href, *args, **kwargs) def stac_object_from_dict( self, d: Dict[str, Any], href: Optional[pystac.link.HREF] = None, root: Optional["Catalog_Type"] = None, preserve_dict: bool = True, ) -> "STACObject_Type": """Deserializes a :class:`~pystac.STACObject` sub-class instance from a dictionary. Args: d : The dictionary to deserialize href : Optional href to associate with the STAC object root : Optional root :class:`~pystac.Catalog` to associate with the STAC object. preserve_dict: If ``False``, the dict parameter ``d`` may be modified during this method call. Otherwise the dict is not mutated. Defaults to ``True``, which results results in a deepcopy of the parameter. Set to ``False`` when possible to avoid the performance hit of a deepcopy. """ if identify_stac_object_type(d) == pystac.STACObjectType.ITEM: collection_cache = None if root is not None: collection_cache = root._resolved_objects.as_collection_cache() # Merge common properties in case this is an older STAC object. merge_common_properties( d, json_href=str(href), collection_cache=collection_cache ) info = identify_stac_object(d) d = migrate_to_latest(d, info) if info.object_type == pystac.STACObjectType.CATALOG: result = pystac_client.client.Client.from_dict( d, href=str(href), root=root, migrate=False, preserve_dict=preserve_dict ) result._stac_io = self return result if info.object_type == pystac.STACObjectType.COLLECTION: collection_client = ( pystac_client.collection_client.CollectionClient.from_dict( d, href=str(href), root=root, migrate=False, preserve_dict=preserve_dict, ) ) collection_client._stac_io = self return collection_client if info.object_type == pystac.STACObjectType.ITEM: return pystac.Item.from_dict( d, href=str(href), root=root, migrate=False, preserve_dict=preserve_dict ) raise ValueError(f"Unknown STAC object type {info.object_type}") def get_pages( self, url: str, method: Optional[str] = None, parameters: Optional[Dict[str, Any]] = None, ) -> Iterator[Dict[str, Any]]: """Iterator that yields dictionaries for each page at a STAC paging endpoint, e.g., /collections, /search Return: Dict[str, Any] : JSON content from a single page """ page = self.read_json(url, method=method, parameters=parameters) if not (page.get("features") or page.get("collections")): return None yield page next_link = next( (link for link in page.get("links", []) if link["rel"] == "next"), None ) while next_link: link = Link.from_dict(next_link) page = self.read_json(link, parameters=parameters) if not (page.get("features") or page.get("collections")): return None yield page # get the next link and make the next request next_link = next( (link for link in page.get("links", []) if link["rel"] == "next"), None ) def _is_url(href: str) -> bool: url = urlparse(href) return bool(url.scheme) and bool(url.netloc) pystac-client-0.8.3/pystac_client/version.py000066400000000000000000000000261464746411700212150ustar00rootroot00000000000000__version__ = "0.8.3" pystac-client-0.8.3/pystac_client/warnings.py000066400000000000000000000053171464746411700213700ustar00rootroot00000000000000import warnings from contextlib import contextmanager from typing import Iterator class PystacClientWarning(UserWarning): """Base warning class""" ... class NoConformsTo(PystacClientWarning): """Inform user when client does not have "conformsTo" set""" def __str__(self) -> str: return "Server does not advertise any conformance classes." class DoesNotConformTo(PystacClientWarning): """Inform user when client does not conform to extension""" def __str__(self) -> str: return "Server does not conform to {}".format(", ".join(self.args)) class MissingLink(PystacClientWarning): """Inform user when link is not found""" def __str__(self) -> str: return "No link with rel='{}' could be found on this {}.".format(*self.args) class FallbackToPystac(PystacClientWarning): """Inform user when falling back to pystac implementation""" def __str__(self) -> str: return "Falling back to pystac. This might be slow." @contextmanager def strict() -> Iterator[None]: """Context manager for raising all pystac-client warnings as errors For more fine-grained control or to filter warnings in the whole python session, use the :py:mod:`warnings` module directly. Examples: >>> from pystac_client import Client >>> from pystac_client.warnings import strict >>> with strict(): ... Client.open("https://perfect-api.test") For finer-grained control: >>> import warnings >>> from pystac_client import Client >>> from pystac_client.warnings import MissingLink >>> warnings.filterwarnings("error", category=FallbackToPystac) >>> Client.open("https://imperfect-api.test") """ warnings.filterwarnings("error", category=PystacClientWarning) try: yield finally: warnings.filterwarnings("default", category=PystacClientWarning) @contextmanager def ignore() -> Iterator[None]: """Context manager for ignoring all pystac-client warnings For more fine-grained control or to set filter warnings in the whole python session, use the ``warnings`` module directly. Examples: >>> from pystac_client import Client >>> from pystac_client.warnings import ignore >>> with ignore(): ... Client.open("https://perfect-api.test") For finer-grained control: >>> import warnings >>> from pystac_client import Client >>> from pystac_client.warnings import MissingLink >>> warnings.filterwarnings("ignore", category=MissingLink) >>> Client.open("https://imperfect-api.test") """ warnings.filterwarnings("ignore", category=PystacClientWarning) try: yield finally: warnings.filterwarnings("default", category=PystacClientWarning) pystac-client-0.8.3/scripts/000077500000000000000000000000001464746411700160065ustar00rootroot00000000000000pystac-client-0.8.3/scripts/build-docs000077500000000000000000000004661464746411700177670ustar00rootroot00000000000000#!/bin/bash set -e if [[ -n "${CI}" ]]; then set -x fi function usage() { echo -n \ "Usage: $(basename "$0") Build documentation " } if [ "${BASH_SOURCE[0]}" = "${0}" ]; then if [ "${1:-}" = "--help" ]; then usage else sphinx-build -M html docs docs/build fi fi pystac-client-0.8.3/scripts/format000077500000000000000000000004651464746411700172310ustar00rootroot00000000000000#!/bin/bash set -e if [[ -n "${CI}" ]]; then set -x fi function usage() { echo -n \ "Usage: $(basename "$0") Format code with black " } if [ "${BASH_SOURCE[0]}" = "${0}" ]; then if [ "${1:-}" = "--help" ]; then usage else pre-commit run black --all-files fi fi pystac-client-0.8.3/scripts/lint000077500000000000000000000006631464746411700167070ustar00rootroot00000000000000#!/bin/bash set -e if [[ -n "${CI}" ]]; then set -x fi function usage() { echo -n \ "Usage: $(basename "$0") Execute project linters. 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Images are in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\n","stac_version":"1.0.0-beta.2","links":[{"href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/aster-l1t","rel":"self","type":"application/json"},{"href":"https://planetarycomputer.microsoft.com/","rel":"parent","type":"application/json"},{"href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/aster-l1t/items","rel":"item","type":"application/geo+json"},{"href":"https://planetarycomputer.microsoft.com/api/stac/v1/","rel":"root","type":"application/json"},{"href":"https://www.usgs.gov/core-science-systems/hdds/data-policy","rel":"license","title":"public domain"}],"stac_extensions":["item-assets","collection-assets"],"title":"ASTER L1T","license":"proprietary","extent":{"spatial":{"bbox":[[-180.0,-90.0,180.0,90.0]]},"temporal":{"interval":[["2000-03-04T12:00:00.000000Z","2006-12-31T12:00:00.000000Z"]]}},"keywords":["aster","usgs","nasa","satellite","global"],"providers":[{"name":"NASA","roles":["producer","licensor"],"url":"https://terra.nasa.gov/about/terra-instruments/aster"},{"name":"USGS","roles":["processor","producer","licensor"],"url":"https://lpdaac.usgs.gov/data/get-started-data/collection-overview/missions/aster-overview/"},{"name":"Microsoft","roles":["host","processor"],"url":"https://planetarycomputer.microsoft.com"}],"summaries":{"gsd":[15,30,90],"eo:bands":[{"gsd":15,"name":"VNIR_Band1","common_name":"yellow/green","description":"visible yellow/green","center_wavelength":0.56,"full_width_half_max":0.08},{"gsd":15,"name":"VNIR_Band2","common_name":"red","description":"visible red","center_wavelength":0.66,"full_width_half_max":0.06},{"gsd":15,"name":"VNIR_Band3N","common_name":"near infrared","description":"near infrared","center_wavelength":0.82,"full_width_half_max":0.08},{"gsd":30,"name":"SWIR_Band4","common_name":"swir","description":"short-wave infrared","center_wavelength":1.65,"full_width_half_max":0.1},{"gsd":30,"name":"SWIR_Band5","common_name":"swir","description":"short-wave infrared","center_wavelength":2.165,"full_width_half_max":0.04},{"gsd":30,"name":"SWIR_Band6","common_name":"swir","description":"short-wave infrared","center_wavelength":2.205,"full_width_half_max":0.04},{"gsd":30,"name":"SWIR_Band7","common_name":"swir","description":"short-wave infrared","center_wavelength":2.26,"full_width_half_max":0.05},{"gsd":30,"name":"SWIR_Band8","common_name":"swir","description":"short-wave infrared","center_wavelength":2.339,"full_width_half_max":0.07},{"gsd":30,"name":"SWIR_Band9","common_name":"swir","description":"short-wave infrared","center_wavelength":2.395,"full_width_half_max":0.07},{"gsd":90,"name":"TIR_Band10","common_name":"lwir","description":"thermal infrared","center_wavelength":8.3,"full_width_half_max":0.35},{"gsd":90,"name":"TIR_Band11","common_name":"lwir","description":"thermal infrared","center_wavelength":8.65,"full_width_half_max":0.35},{"gsd":90,"name":"TIR_Band12","common_name":"lwir","description":"thermal infrared","center_wavelength":9.11,"full_width_half_max":0.35},{"gsd":90,"name":"TIR_Band13","common_name":"lwir","description":"thermal infrared","center_wavelength":10.6,"full_width_half_max":0.7},{"gsd":90,"name":"TIR_Band14","common_name":"lwir","description":"thermal infrared","center_wavelength":11.3,"full_width_half_max":0.7}],"platform":["terra"],"instruments":["aster"]},"assets":{"thumbnail":{"title":"ASTER L1T","href":"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/aster.png","media_type":"image/png"}},"msft:short_description":"The ASTER instrument, launched on-board NASA''s Terra satellite in 1999, provides multispectral images of the Earth at 15m-90m resolution. 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[Landsat 8](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-8) is the most recent satellite in the Landsat series. Launched in 2013, Landsat 8 captures data in eleven spectral bands: ten optical/IR bands from the [Operational Land Imager](https://landsat.gsfc.nasa.gov/landsat-8/operational-land-imager) (OLI) instrument, and two thermal bands from the [Thermal Infrared Sensor](https://landsat.gsfc.nasa.gov/landsat-8/thermal-infrared-sensor-tirs) (TIRS) instrument.\n\nThis dataset represents the global archive of Level-2 Landsat 8 data from [Landsat Collection 2](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2). Because there is some latency before Level-2 data is available, a rolling window of recent Level-1 data is available as well. 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This dataset contains ASTER data from 2000-2006." } pystac-client-0.8.3/tests/data/planetary-computer-collection.json000066400000000000000000001150161464746411700252550ustar00rootroot00000000000000{ "id": "gap", "type": "Collection", "links": [ { "rel": "items", "type": "application/geo+json", "href": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/gap/items" }, { "rel": "parent", "type": "application/json", "href": "https://planetarycomputer.microsoft.com/api/stac/v1/" }, { "rel": "root", "type": "application/json", "href": "https://planetarycomputer.microsoft.com/api/stac/v1/" }, { "rel": "self", "type": "application/json", "href": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/gap" }, { "rel": "license", "href": "https://www.usgs.gov/core-science-systems/hdds/data-policy", "title": "public domain" }, { "rel": "describedby", "href": "https://planetarycomputer.microsoft.com/dataset/gap", "title": "Human readable dataset overview and reference", "type": "text/html" } ], "title": "USGS Gap Land Cover", "assets": { "thumbnail": { "href": "https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/gap.png", "type": "image/png", "roles": [ "data" ], "title": "USGS GAP" }, "original-data-ak": { "href": "https://ai4edataeuwest.blob.core.windows.net/usgs-gap/originals/gaplandcov_ak.zip", "type": "application/zip", "roles": [ "data" ], "title": "Alaska source data", "description": "Original source data for Alaska" }, "original-data-hi": { "href": "https://ai4edataeuwest.blob.core.windows.net/usgs-gap/originals/gaplandcov_hi.zip", "type": "application/zip", "roles": [ "data" ], "title": "Hawaii source data", "description": "Original source data for Hawaii" }, "original-data-pr": { "href": "https://ai4edataeuwest.blob.core.windows.net/usgs-gap/originals/pr_landcover.zip", "type": "application/zip", "roles": [ "data" ], "title": "Puerto Rico source data", "description": "Original source data for Puerto Rico" }, "original-data-conus": { "href": "https://ai4edataeuwest.blob.core.windows.net/usgs-gap/originals/gap_landfire_nationalterrestrialecosystems2011.zip", "type": "application/zip", "roles": [ "data" ], "title": "CONUS source data", "description": "Original source data for the continental United States (CONUS)" } }, "extent": { "spatial": { "bbox": [ [ -127.9710481801793, 22.797789263564383, -65.26634281147894, 51.64692620669362 ], [ -178.13166387448902, 49.09079265233118, 179.87849702345594, 71.43382483774205 ], [ -160.26640694607218, 18.851824447510786, -154.66974350173518, 22.295114188194738 ], [ -67.9573345827195, 17.874066536543, -65.21836408976736, 18.5296513469496 ] ] }, "temporal": { "interval": [ [ "1999-01-01T00:00:00Z", "2011-12-31T00:00:00Z" ] ] } }, "license": "proprietary", "keywords": [ "USGS", "GAP", "LANDFIRE", "Land Cover", "United States" ], "providers": [ { "url": "https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/land-cover", "name": "USGS", "roles": [ "processor", "producer", "licensor" ] }, { "url": "https://planetarycomputer.microsoft.com", "name": "Microsoft", "roles": [ "host" ] } ], "summaries": { "gsd": [ 30 ], "label:classes": [ { "classes": [ "0", "South Florida Bayhead Swamp", "South Florida Cypress Dome", "South Florida Dwarf Cypress Savanna", "South Florida Mangrove Swamp", "South Florida Hardwood Hammock", "Southeast Florida Coastal Strand and Maritime Hammock", "Southwest Florida Coastal Strand and Maritime Hammock", "South Florida Pine Rockland", "Atlantic Coastal Plain Fall-line Sandhills Longleaf Pine Woodland - 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Hardwood", "Allegheny-Cumberland Dry Oak Forest and Woodland - Pine Modifier", "Central and Southern Appalachian Montane Oak Forest", "Central and Southern Appalachian Northern Hardwood Forest", "Central Appalachian Oak and Pine Forest", "Crosstimbers Oak Forest and Woodland", "East Gulf Coastal Plain Black Belt Calcareous Prairie and Woodland - Woodland Modifier", "East Gulf Coastal Plain Northern Dry Upland Hardwood Forest", "East Gulf Coastal Plain Northern Loess Plain Oak-Hickory Upland - Hardwood Modifier", "East Gulf Coastal Plain Northern Loess Plain Oak-Hickory Upland - Juniper Modifier", "East-Central Texas Plains Post Oak Savanna and Woodland", "Lower Mississippi River Dune Woodland and Forest", "Mississippi River Alluvial Plain Dry-Mesic Loess Slope Forest", "North-Central Interior Dry Oak Forest and Woodland", "North-Central Interior Dry-Mesic Oak Forest and Woodland", "Northeastern Interior Dry Oak Forest - Mixed Modifier", "Northeastern Interior Dry Oak Forest - Virginia/Pitch Pine Modifier", "Northeastern Interior Dry Oak Forest-Hardwood Modifier", "Northeastern Interior Dry-Mesic Oak Forest", "Northern Atlantic Coastal Plain Dry Hardwood Forest", "Crowley's Ridge Sand Forest", "Ouachita Montane Oak Forest", "Ozark-Ouachita Dry Oak Woodland", "Ozark-Ouachita Dry-Mesic Oak Forest", "Southern and Central Appalachian Oak Forest", "Southern and Central Appalachian Oak Forest - Xeric", "Southern Interior Low Plateau Dry-Mesic Oak Forest", "Southern Ridge and Valley Dry Calcareous Forest", "Southern Ridge and Valley Dry Calcareous Forest - Pine modifier", "East Gulf Coastal Plain Northern Dry Upland Hardwood Forest - Offsite Pine Modifier", "Managed Tree Plantation", "Ruderal forest", "Southern Piedmont Dry Oak-(Pine) Forest - Loblolly Pine Modifier", "Acadian Low-Elevation Spruce-Fir-Hardwood Forest", "Acadian-Appalachian Montane Spruce-Fir Forest", "Appalachian Hemlock-Hardwood Forest", "Central and Southern Appalachian Spruce-Fir Forest", "0", "Laurentian-Acadian Northern Hardwoods Forest", "Laurentian-Acadian Northern Pine-(Oak) Forest", "Laurentian-Acadian Pine-Hemlock-Hardwood Forest", "Paleozoic Plateau Bluff and Talus", "Southern Appalachian Northern Hardwood Forest", "Atlantic Coastal Plain Dry and Dry-Mesic Oak Forest", "Atlantic Coastal Plain Fall-line Sandhills Longleaf Pine Woodland - Offsite Hardwood", "East Gulf Coastal Plain Interior Shortleaf Pine-Oak Forest - Hardwood Modifier", "East Gulf Coastal Plain Interior Shortleaf Pine-Oak Forest - Mixed Modifier", "Ozark-Ouachita Shortleaf Pine-Bluestem Woodland", "Ozark-Ouachita Shortleaf Pine-Oak Forest and Woodland", "Southeastern Interior Longleaf Pine Woodland", "Southern Appalachian Low Mountain Pine Forest", "Southern Piedmont Dry Oak-(Pine) Forest", "Southern Piedmont Dry Oak-(Pine) Forest - Hardwood Modifier", "Southern Piedmont Dry Oak-(Pine) Forest - Mixed Modifier", "Southern Piedmont Dry Oak-Heath Forest - Mixed Modifier", "Eastern Great Plains Tallgrass Aspen Parkland", "Northwestern Great Plains Aspen Forest and Parkland", "Northwestern Great Plains Shrubland", "Western Great Plains Dry Bur Oak Forest and Woodland", "Western Great Plains Wooded Draw and Ravine", "Southern Atlantic Coastal Plain Mesic Hardwood Forest", "East Gulf Coastal Plain Northern Loess Bluff Forest", "East Gulf Coastal Plain Northern Mesic Hardwood Forest", "North-Central Interior Beech-Maple Forest", "North-Central Interior Maple-Basswood Forest", "Ozark-Ouachita Mesic Hardwood Forest", "South-Central Interior Mesophytic Forest", "Southern and Central Appalachian Cove Forest", "Crowley's Ridge Mesic Loess Slope Forest", "Southern Piedmont Mesic Forest", "Appalachian Shale Barrens", "Atlantic Coastal Plain Northern Maritime Forest", "Laurentian Pine-Oak Barrens", "Northeastern Interior Pine Barrens", "Northern Atlantic Coastal Plain Pitch Pine Barrens", "Southern Appalachian Montane Pine Forest and Woodland", "East Cascades Mesic Montane Mixed-Conifer Forest and Woodland", "Middle Rocky Mountain Montane Douglas-fir Forest and Woodland", "Northern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest", "Northern Rocky Mountain Foothill Conifer Wooded Steppe", "Northern Rocky Mountain Mesic Montane Mixed Conifer Forest", "Northern Rocky Mountain Ponderosa Pine Woodland and Savanna", "Northern Rocky Mountain Western Larch Savanna", "Northwestern Great Plains - Black Hills Ponderosa Pine Woodland and Savanna", "Rocky Mountain Foothill Limber Pine-Juniper Woodland", "Inter-Mountain Basins Aspen-Mixed Conifer Forest and Woodland", "Inter-Mountain Basins Subalpine Limber-Bristlecone Pine Woodland", "Northern Rocky Mountain Subalpine Woodland and Parkland", "Rocky Mountain Aspen Forest and Woodland", "Rocky Mountain Lodgepole Pine Forest", "Rocky Mountain Poor-Site Lodgepole Pine Forest", "Rocky Mountain Subalpine Dry-Mesic Spruce-Fir Forest and Woodland", "Rocky Mountain Subalpine Mesic Spruce-Fir Forest and Woodland", "Rocky Mountain Subalpine-Montane Limber-Bristlecone Pine Woodland", "Rocky Mountain Bigtooth Maple Ravine Woodland", "Southern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest and Woodland", "Southern Rocky Mountain Mesic Montane Mixed Conifer Forest and Woodland", "Southern Rocky Mountain Ponderosa Pine Savanna", "Southern Rocky Mountain Ponderosa Pine Woodland", "California Montane Jeffrey Pine-(Ponderosa Pine) Woodland", "Klamath-Siskiyou Lower Montane Serpentine Mixed Conifer Woodland", "Klamath-Siskiyou Upper Montane Serpentine Mixed Conifer Woodland", "Mediterranean California Dry-Mesic Mixed Conifer Forest and Woodland", "Mediterranean California Mesic Mixed Conifer Forest and Woodland", "Sierran-Intermontane Desert Western White Pine-White Fir Woodland", "California Coastal Redwood Forest", "North Pacific Broadleaf Landslide Forest and Shrubland", "North Pacific Dry-Mesic Silver Fir-Western Hemlock-Douglas-fir Forest", "North Pacific Hypermaritime Sitka Spruce Forest", "North Pacific Hypermaritime Western Red-cedar-Western Hemlock Forest", "North Pacific Lowland Mixed Hardwood-Conifer Forest and Woodland", "North Pacific Maritime Dry-Mesic Douglas-fir-Western Hemlock Forest", "North Pacific Maritime Mesic-Wet Douglas-fir-Western Hemlock Forest", "North Pacific Mesic Western Hemlock-Silver Fir Forest", "North Pacific Wooded Volcanic Flowage", "Mediterranean California Red Fir Forest", "Mediterranean California Subalpine Woodland", "North Pacific Maritime Mesic Subalpine Parkland", "North Pacific Mountain Hemlock Forest", "Northern California Mesic Subalpine Woodland", "Northern Pacific Mesic Subalpine Woodland", "Sierra Nevada Subalpine Lodgepole Pine Forest and Woodland", "Columbia Plateau Western Juniper Woodland and Savanna", "Great Basin Pinyon-Juniper Woodland", "Inter-Mountain Basins Curl-leaf Mountain Mahogany Woodland and Shrubland", "Inter-Mountain Basins Juniper Savanna", "Colorado Plateau Pinyon-Juniper Shrubland", "Colorado Plateau Pinyon-Juniper Woodland", "Southern Rocky Mountain Juniper Woodland and Savanna", "Southern Rocky Mountain Pinyon-Juniper Woodland", "Northwestern Great Plains Floodplain", "Northwestern Great Plains Riparian", "Western Great Plains Floodplain", "Western Great Plains Floodplain Systems", "Western Great Plains Riparian Woodland and Shrubland", "Central Appalachian Floodplain - Forest Modifier", "Central Appalachian Riparian - Forest Modifier", "Central Interior and Appalachian Floodplain Systems", "Central Interior and Appalachian Riparian Systems", "Laurentian-Acadian Floodplain Systems", "Ozark-Ouachita Riparian", "South-Central Interior Large Floodplain", "South-Central Interior Large Floodplain - Forest Modifier", "South-Central Interior Small Stream and Riparian", "North-Central Interior and Appalachian Rich Swamp", "0", "0", "Laurentian-Acadian Swamp Systems", "North-Central Interior Wet Flatwoods", "0", "South-Central Interior / Upper Coastal Plain Wet Flatwoods", "0", "Southern Piedmont/Ridge and Valley Upland Depression Swamp", "Atlantic Coastal Plain Blackwater Stream Floodplain Forest - Forest Modifier", "Atlantic Coastal Plain Brownwater Stream Floodplain Forest", "Atlantic Coastal Plain Northern Tidal Wooded Swamp", "Atlantic Coastal Plain Small Blackwater River Floodplain Forest", "Atlantic Coastal Plain Small Brownwater River Floodplain Forest", "Atlantic Coastal Plain Southern Tidal Wooded Swamp", "East Gulf Coastal Plain Large River Floodplain Forest - Forest Modifier", "East Gulf Coastal Plain Small Stream and River Floodplain Forest", "East Gulf Coastal Plain Tidal Wooded Swamp", "0", "Southeastern Great Plains Riparian Forest", "Southeastern Great Plains Floodplain Forest", "Mississippi River Bottomland Depression", "Mississippi River Floodplain and Riparian Forest", "Mississippi River Low Floodplain (Bottomland) Forest", "Mississippi River Riparian Forest", "Red River Large Floodplain Forest", "Southern Coastal Plain Blackwater River Floodplain Forest", "Southern Piedmont Large Floodplain Forest - Forest Modifier", "Southern Piedmont Small Floodplain and Riparian Forest", "West Gulf Coastal Plain Large River Floodplain Forest", "West Gulf Coastal Plain Near-Coast Large River Swamp", "West Gulf Coastal Plain Small Stream and River Forest", "Atlantic Coastal Plain Streamhead Seepage Swamp - Pocosin - and Baygall", "Gulf and Atlantic Coastal Plain Swamp Systems", "Southern Coastal Plain Hydric Hammock", "Southern Coastal Plain Seepage Swamp and Baygall", "West Gulf Coastal Plain Seepage Swamp and Baygall", "Atlantic Coastal Plain Nonriverine Swamp and Wet Hardwood Forest - Taxodium/Nyssa Modifier", "Atlantic Coastal Plain Nonriverine Swamp and Wet Hardwood Forest - Oak Dominated Modifier", "East Gulf Coastal Plain Southern Loblolly-Hardwood Flatwoods", "Lower Mississippi River Bottomland Depressions - Forest Modifier", "Lower Mississippi River Flatwoods", "Northern Atlantic Coastal Plain Basin Swamp and Wet Hardwood Forest", "Southern Coastal Plain Nonriverine Basin Swamp", "Southern Coastal Plain Nonriverine Basin Swamp - Okefenokee Bay/Gum Modifier", "Southern Coastal Plain Nonriverine Basin Swamp - Okefenokee Pine Modifier", "Southern Coastal Plain Nonriverine Basin Swamp - Okefenokee Taxodium Modifier", "West Gulf Coastal Plain Nonriverine Wet Hardwood Flatwoods", "West Gulf Coastal Plain Pine-Hardwood Flatwoods", "Edwards Plateau Riparian", "Atlantic Coastal Plain Clay-Based Carolina Bay Forested Wetland", "Atlantic Coastal Plain Clay-Based Carolina Bay Herbaceous Wetland", "Atlantic Coastal Plain Southern Wet Pine Savanna and Flatwoods", "Central Atlantic Coastal Plain Wet Longleaf Pine Savanna and Flatwoods", "Central Florida Pine Flatwoods", "East Gulf Coastal Plain Near-Coast Pine Flatwoods", "East Gulf Coastal Plain Near-Coast Pine Flatwoods - Open Understory Modifier", "East Gulf Coastal Plain Near-Coast Pine Flatwoods - Scrub/Shrub Understory Modifier", "South Florida Pine Flatwoods", "Southern Coastal Plain Nonriverine Cypress Dome", "West Gulf Coastal Plain Wet Longleaf Pine Savanna and Flatwoods", "Columbia Basin Foothill Riparian Woodland and Shrubland", "Great Basin Foothill and Lower Montane Riparian Woodland and Shrubland", "0", "Northern Rocky Mountain Conifer Swamp", "Northern Rocky Mountain Lower Montane Riparian Woodland and Shrubland", "Rocky Mountain Lower Montane Riparian Woodland and Shrubland", "Rocky Mountain Montane Riparian Systems", "Rocky Mountain Subalpine-Montane Riparian Woodland", "North Pacific Hardwood-Conifer Swamp", "North Pacific Lowland Riparian Forest and Shrubland", "North Pacific Montane Riparian Woodland and Shrubland", "North Pacific Shrub Swamp", "California Central Valley Riparian Woodland and Shrubland", "Mediterranean California Foothill and Lower Montane Riparian Woodland", "Mediterranean California Serpentine Foothill and Lower Montane Riparian Woodland and Seep", "North American Warm Desert Lower Montane Riparian Woodland and Shrubland", "North American Warm Desert Riparian Systems", "North American Warm Desert Riparian Woodland and Shrubland", "Tamaulipan Floodplain", "Tamaulipan Riparian Systems", "Boreal Aspen-Birch Forest", "Boreal Jack Pine-Black Spruce Forest", "Boreal White Spruce-Fir-Hardwood Forest", "Boreal-Laurentian Conifer Acidic Swamp and Treed Poor Fen", "Eastern Boreal Floodplain", "South Florida Shell Hash Beach", "Southeast Florida Beach", "Southwest Florida Beach", "South Florida Everglades Sawgrass Marsh", "South Florida Freshwater Slough and Gator Hole", "South Florida Wet Marl Prairie", "California Maritime Chaparral", "California Mesic Chaparral", "California Xeric Serpentine Chaparral", "Klamath-Siskiyou Xeromorphic Serpentine Savanna and Chaparral", "Mediterranean California Mesic Serpentine Woodland and Chaparral", "Northern and Central California Dry-Mesic Chaparral", "Southern California Dry-Mesic Chaparral", "Southern California Coastal Scrub", "California Central Valley and Southern Coastal Grassland", "California Mesic Serpentine Grassland", "Columbia Basin Foothill and Canyon Dry Grassland", "Columbia Basin Palouse Prairie", "North Pacific Alpine and Subalpine Dry Grassland", "North Pacific Montane Grassland", "North Pacific Montane Shrubland", "Northern Rocky Mountain Lower Montane, Foothill and Valley Grassland", "Northern Rocky Mountain Montane-Foothill Deciduous Shrubland", "Northern Rocky Mountain Subalpine Deciduous Shrubland", "Northern Rocky Mountain Subalpine-Upper Montane Grassland", "Southern Rocky Mountain Montane-Subalpine Grassland", "Rocky Mountain Gambel Oak-Mixed Montane Shrubland", "Rocky Mountain Lower Montane-Foothill Shrubland", "California Northern Coastal Grassland", "North Pacific Herbaceous Bald and Bluff", "North Pacific Hypermaritime Shrub and Herbaceous Headland", "Willamette Valley Upland Prairie and Savanna", "Mediterranean California Subalpine Meadow", "Rocky Mountain Subalpine-Montane Mesic Meadow", "Central Mixedgrass Prairie", "Northwestern Great Plains Mixedgrass Prairie", "Western Great Plains Foothill and Piedmont Grassland", "Western Great Plains Tallgrass Prairie", "Western Great Plains Sand Prairie", "Western Great Plains Sandhill Steppe", "Western Great Plains Mesquite Woodland and Shrubland", "Western Great Plains Shortgrass Prairie", "Arkansas Valley Prairie and Woodland", "Central Tallgrass Prairie", "North-Central Interior Oak Savanna", "North-Central Interior Sand and Gravel Tallgrass Prairie", "North-Central Oak Barrens", "Northern Tallgrass Prairie", "Southeastern Great Plains Tallgrass Prairie", "Texas Blackland Tallgrass Prairie", "Texas-Louisiana Coastal Prairie", "Central Appalachian Pine-Oak Rocky Woodland", "Southern Appalachian Grass and Shrub Bald", "Southern Appalachian Grass and Shrub Bald - Herbaceous Modifier", "Southern Appalachian Grass and Shrub Bald - Shrub Modifier", "Central Appalachian Alkaline Glade and Woodland", "Central Interior Highlands Calcareous Glade and Barrens", "Central Interior Highlands Dry Acidic Glade and Barrens", "Cumberland Sandstone Glade and Barrens", "Great Lakes Alvar", "Nashville Basin Limestone Glade", "Southern Ridge and Valley / Cumberland Dry Calcareous Forest", "Southern Piedmont Glade and Barrens", "East Gulf Coastal Plain Black Belt Calcareous Prairie and Woodland - Herbaceous Modifier", "East Gulf Coastal Plain Jackson Prairie and Woodland", "Eastern Highland Rim Prairie and Barrens - Dry Modifier", "Coahuilan Chaparral", "Madrean Oriental Chaparral", "Mogollon Chaparral", "Sonora-Mojave Semi-Desert Chaparral", "California Montane Woodland and Chaparral", "Great Basin Semi-Desert Chaparral", "Florida Dry Prairie", "Florida Peninsula Inland Scrub", "West Gulf Coastal Plain Catahoula Barrens", "West Gulf Coastal Plain Nepheline Syenite Glade", "East Gulf Coastal Plain Jackson Plain Dry Flatwoods - Open Understory Modifier", "West Gulf Coastal Plain Northern Calcareous Prairie", "West Gulf Coastal Plain Southern Calcareous Prairie", "Acadian-Appalachian Subalpine Woodland and Heath-Krummholz", "Atlantic and Gulf Coastal Plain Interdunal Wetland", "Atlantic Coastal Plain Southern Dune and Maritime Grassland", "Central and Upper Texas Coast Dune and Coastal Grassland", "East Gulf Coastal Plain Dune and Coastal Grassland", "Great Lakes Dune", "Northern Atlantic Coastal Plain Dune and Swale", "Northern Atlantic Coastal Plain Heathland and Grassland", "South Texas Dune and Coastal Grassland", "South Texas Sand Sheet Grassland", "Southwest Florida Dune and Coastal Grassland", "North Pacific Coastal Cliff and Bluff", "North Pacific Maritime Coastal Sand Dune and Strand", "Northern California Coastal Scrub", "Mediterranean California Coastal Bluff", "Mediterranean California Northern Coastal Dune", "Mediterranean California Southern Coastal Dune", "Atlantic Coastal Plain Northern Sandy Beach", "Atlantic Coastal Plain Sea Island Beach", "Atlantic Coastal Plain Southern Beach", "Florida Panhandle Beach Vegetation", "Louisiana Beach", "Northern Atlantic Coastal Plain Sandy Beach", "Texas Coastal Bend Beach", "Upper Texas Coast Beach", "0", "Mediterranean California Serpentine Fen", "Mediterranean California Subalpine-Montane Fen", "North Pacific Bog and Fen", "Rocky Mountain Subalpine-Montane Fen", "Atlantic Coastal Plain Peatland Pocosin", "Southern and Central Appalachian Bog and Fen", "Atlantic Coastal Plain Central Fresh-Oligohaline Tidal Marsh", "Atlantic Coastal Plain Embayed Region Tidal Freshwater Marsh", "Atlantic Coastal Plain Northern Fresh and Oligohaline Tidal Marsh", "Florida Big Bend Fresh-Oligohaline Tidal Marsh", "Atlantic Coastal Plain Depression Pondshore", "Atlantic Coastal Plain Large Natural Lakeshore", "Central Florida Herbaceous Pondshore", "Central Florida Herbaceous Seep", "East Gulf Coastal Plain Savanna and Wet Prairie", "East Gulf Coastal Plain Depression Pondshore", "Floridian Highlands Freshwater Marsh", "Southern Coastal Plain Herbaceous Seepage Bog", "Southern Coastal Plain Nonriverine Basin Swamp - Okefenokee Clethra Modifier", "Southern Coastal Plain Nonriverine Basin Swamp - Okefenokee Nupea Modifier", "Texas-Louisiana Coastal Prairie Slough", "Central Interior and Appalachian Shrub-Herbaceous Wetland Systems", "Great Lakes Coastal Marsh Systems", "0", "0", "Laurentian-Acadian Shrub-Herbaceous Wetland Systems", "0", "Eastern Great Plains Wet Meadow, Prairie and Marsh", "Great Lakes Wet-Mesic Lakeplain Prairie", "Great Plains Prairie Pothole", "Western Great Plains Closed Depression Wetland", "Western Great Plains Depressional Wetland Systems", "Western Great Plains Open Freshwater Depression Wetland", "Cumberland Riverscour", "Inter-Mountain Basins Interdunal Swale Wetland", "North Pacific Avalanche Chute Shrubland", "North Pacific Intertidal Freshwater Wetland", "Temperate Pacific Freshwater Emergent Marsh", "Temperate Pacific Freshwater Mudflat", "Columbia Plateau Vernal Pool", "Northern California Claypan Vernal Pool", "Northern Rocky Mountain Wooded Vernal Pool", "Columbia Plateau Silver Sagebrush Seasonally Flooded Shrub-Steppe", "Rocky Mountain Alpine-Montane Wet Meadow", "Rocky Mountain Subalpine-Montane Riparian Shrubland", "Temperate Pacific Montane Wet Meadow", "Willamette Valley Wet Prairie", "Chihuahuan-Sonoran Desert Bottomland and Swale Grassland", "North American Arid West Emergent Marsh", "North American Warm Desert Riparian Mesquite Bosque", "Western Great Plains Saline Depression Wetland", "Acadian Salt Marsh and Estuary Systems", "Atlantic Coastal Plain Central Salt and Brackish Tidal Marsh", "Atlantic Coastal Plain Embayed Region Tidal Salt and Brackish Marsh", "Atlantic Coastal Plain Indian River Lagoon Tidal Marsh", "Atlantic Coastal Plain Northern Tidal Salt Marsh", "Florida Big Bend Salt-Brackish Tidal Marsh", "Gulf and Atlantic Coastal Plain Tidal Marsh Systems", "Mississippi Sound Salt and Brackish Tidal Marsh", "Texas Saline Coastal Prairie", "Temperate Pacific Tidal Salt and Brackish Marsh", "Inter-Mountain Basins Alkaline Closed Depression", "Inter-Mountain Basins Greasewood Flat", "Inter-Mountain Basins Playa", "North American Warm Desert Playa", "Apacherian-Chihuahuan Mesquite Upland Scrub", "Apacherian-Chihuahuan Semi-Desert Grassland and Steppe", "Chihuahuan Creosotebush, Mixed Desert and Thorn Scrub", "Chihuahuan Gypsophilous Grassland and Steppe", "Chihuahuan Loamy Plains Desert Grassland", "Chihuahuan Mixed Desert and Thorn Scrub", "Chihuahuan Sandy Plains Semi-Desert Grassland", "Chihuahuan Stabilized Coppice Dune and Sand Flat Scrub", "Chihuahuan Succulent Desert Scrub", "Madrean Juniper Savanna", "Mojave Mid-Elevation Mixed Desert Scrub", "North American Warm Desert Active and Stabilized Dune", "Sonora-Mojave Creosotebush-White Bursage Desert Scrub", "Sonoran Mid-Elevation Desert Scrub", "Sonoran Paloverde-Mixed Cacti Desert Scrub", "Chihuahuan Mixed Salt Desert Scrub", "Sonora-Mojave Mixed Salt Desert Scrub", "North American Warm Desert Wash", "South Texas Lomas", "Tamaulipan Calcareous Thornscrub", "Tamaulipan Clay Grassland", "Tamaulipan Mesquite Upland Scrub", "Tamaulipan Mixed Deciduous Thornscrub", "Tamaulipan Savanna Grassland", "Inter-Mountain Basins Mat Saltbush Shrubland", "Inter-Mountain Basins Mixed Salt Desert Scrub", "Inter-Mountain Basins Wash", "Columbia Plateau Steppe and Grassland", "Great Basin Xeric Mixed Sagebrush Shrubland", "Inter-Mountain Basins Big Sagebrush Shrubland", "Inter-Mountain Basins Big Sagebrush Steppe", "Inter-Mountain Basins Montane Sagebrush Steppe", "Colorado Plateau Mixed Low Sagebrush Shrubland", "Columbia Plateau Low Sagebrush Steppe", "Columbia Plateau Scabland Shrubland", "Wyoming Basins Dwarf Sagebrush Shrubland and Steppe", "Colorado Plateau Blackbrush-Mormon-tea Shrubland", "Inter-Mountain Basins Semi-Desert Grassland", "Inter-Mountain Basins Semi-Desert Shrub Steppe", "Southern Colorado Plateau Sand Shrubland", "Acadian-Appalachian Alpine Tundra", "Rocky Mountain Alpine Dwarf-Shrubland", "Rocky Mountain Alpine Fell-Field", "Rocky Mountain Alpine Turf", "Mediterranean California Alpine Dry Tundra", "Mediterranean California Alpine Fell-Field", "North Pacific Dry and Mesic Alpine Dwarf-Shrubland, Fell-field and Meadow", "Rocky Mountain Alpine Tundra/Fell-field/Dwarf-shrub Map Unit", "Temperate Pacific Intertidal Mudflat", "Mediterranean California Eelgrass Bed", "North Pacific Maritime Eelgrass Bed", "South-Central Interior Large Floodplain - Herbaceous Modifier", "East Gulf Coastal Plain Large River Floodplain Forest - Herbaceous Modifier", "Temperate Pacific Freshwater Aquatic Bed", "Central California Coast Ranges Cliff and Canyon", "Mediterranean California Serpentine Barrens", "Southern California Coast Ranges Cliff and Canyon", "Central Interior Acidic Cliff and Talus", "Central Interior Calcareous Cliff and Talus", "East Gulf Coastal Plain Dry Chalk Bluff", "North-Central Appalachian Acidic Cliff and Talus", "North-Central Appalachian Circumneutral Cliff and Talus", "Southern Appalachian Montane Cliff", "Southern Interior Acid Cliff", "Southern Interior Calcareous Cliff", "Southern Piedmont Cliff", "Southern Appalachian Granitic Dome", "Southern Appalachian Rocky Summit", "Southern Piedmont Granite Flatrock", "Rocky Mountain Cliff, Canyon and Massive Bedrock", "Klamath-Siskiyou Cliff and Outcrop", "North Pacific Montane Massive Bedrock, Cliff and Talus", "North Pacific Serpentine Barren", "North Pacific Active Volcanic Rock and Cinder Land", "Sierra Nevada Cliff and Canyon", "Western Great Plains Badland", "Southwestern Great Plains Canyon", "Western Great Plains Cliff and Outcrop", "North American Warm Desert Badland", "North American Warm Desert Bedrock Cliff and Outcrop", "North American Warm Desert Pavement", "North American Warm Desert Volcanic Rockland", "Colorado Plateau Mixed Bedrock Canyon and Tableland", "Columbia Plateau Ash and Tuff Badland", "Geysers and Hot Springs", "Inter-Mountain Basins Active and Stabilized Dune", "Inter-Mountain Basins Cliff and Canyon", "Inter-Mountain Basins Shale Badland", "Inter-Mountain Basins Volcanic Rock and Cinder Land", "Rocky Mountain Alpine Bedrock and Scree", "Mediterranean California Alpine Bedrock and Scree", "North Pacific Alpine and Subalpine Bedrock and Scree", "Unconsolidated Shore", "Undifferentiated Barren Land", "North American Alpine Ice Field", "Orchards Vineyards and Other High Structure Agriculture", "Cultivated Cropland", "Pasture/Hay", "Introduced Upland Vegetation - 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"rel": "collection", "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/HLSL30.v1.5" }, { "rel": "root", "href": "https://cmr.earthdata.nasa.gov/stac/" }, { "rel": "provider", "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD" }, { "rel": "via", "href": "https://cmr.earthdata.nasa.gov/search/concepts/G1996014249-LPCLOUD.json" }, { "rel": "via", "href": "https://cmr.earthdata.nasa.gov/search/concepts/G1996014249-LPCLOUD.umm_json" } ], "properties": { "datetime": "2021-01-14T22:12:00.265Z", "start_datetime": "2021-01-14T22:12:00.265Z", "end_datetime": "2021-01-14T22:12:00.265Z", "eo:cloud_cover": 58 }, "assets": { "B07": { "title": "Download HLS.L30.T03UUV.2021014T221200.v1.5.B07.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T03UUV.2021014T221200.v1.5.B07.tif" }, "B09": { "title": "Download HLS.L30.T03UUV.2021014T221200.v1.5.B09.tif", "href": 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"eo:cloud_cover": 16 }, "assets": { "B03": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B03.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B03.tif" }, "B07": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B07.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B07.tif" }, "B09": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B09.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B09.tif" }, "B06": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B06.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B06.tif" }, "Fmask": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.Fmask.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.Fmask.tif" }, "VZA": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.VZA.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.VZA.tif" }, "VAA": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.VAA.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.VAA.tif" }, "B10": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B10.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B10.tif" }, "B02": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B02.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B02.tif" }, "SZA": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.SZA.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.SZA.tif" }, "B04": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B04.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B04.tif" }, "B01": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B01.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B01.tif" }, "B05": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B05.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B05.tif" }, "SAA": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.SAA.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.SAA.tif" }, "B11": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.B11.tif", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-protected/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.B11.tif" }, "browse": { "title": "Download HLS.L30.T60MUD.2021014T222708.v1.5.jpg", "href": "https://lpdaac.earthdata.nasa.gov/lp-prod-public/HLSL30.015/HLS.L30.T60MUD.2021014T222708.v1.5.jpg", "type": "image/jpeg" }, "metadata": { "href": "https://cmr.earthdata.nasa.gov/search/concepts/G1994873826-LPCLOUD.xml", "type": "application/xml" } } } ], "links": [ { "rel": "self", "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/HLSL30.v1.5/items" }, { "rel": "root", "href": "https://cmr.earthdata.nasa.gov/stac/" }, { "rel": "next", "method": "GET", "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/HLSL30.v1.5/items?page=2" } ], "context": { "returned": 10, "limit": 1000000, "matched": 324132 } }pystac-client-0.8.3/tests/data/sample-item.json000066400000000000000000000035121464746411700215030ustar00rootroot00000000000000{ "type": "Feature", "stac_version": "1.0.0", "id": "CS3-20160503_132131_05", "properties": { "datetime": "2016-05-03T13:22:30.040000Z", "title": "A CS3 item", "license": "PDDL-1.0", "providers": [ { "name": "CoolSat", "roles": [ "producer", "licensor" ], "url": "https://cool-sat.com/" } ] }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "links": [ { "rel": "collection", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v0.8.1/collection-spec/examples/sentinel2.json" } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "product": "http://cool-sat.com/catalog/products/analytic.json", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data", "analytic" ] }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] } }, "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "stac_extensions": [], "collection": "CS3" }pystac-client-0.8.3/tests/helpers.py000066400000000000000000000011141464746411700174720ustar00rootroot00000000000000import json from pathlib import Path from typing import Any TEST_DATA = Path(__file__).parent / "data" STAC_URLS = { "PLANETARY-COMPUTER": "https://planetarycomputer.microsoft.com/api/stac/v1", "EARTH-SEARCH": "https://earth-search.aws.element84.com/v1", "MLHUB": "https://api.radiant.earth/mlhub/v1", } def read_data_file(file_name: str, mode: str = "r", parse_json: bool = False) -> Any: file_path = TEST_DATA / file_name with file_path.open(mode=mode) as src: if parse_json: return json.load(src) else: return src.read() pystac-client-0.8.3/tests/test_cli.py000066400000000000000000000220371464746411700176450ustar00rootroot00000000000000import json import tempfile from typing import List import pytest from pytest_console_scripts import ScriptRunner import pystac_client.cli from tests.helpers import STAC_URLS, TEST_DATA FILTER_JSON = {"op": "lte", "args": [{"property": "eo:cloud_cover"}, 40]} # We want to ensure that the CLI is handling these warnings properly @pytest.mark.filterwarnings("ignore::pystac_client.warnings.PystacClientWarning") class TestCLISearch: @pytest.mark.vcr def test_item_search(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", STAC_URLS["PLANETARY-COMPUTER"], "-c", "naip", "--max-items", "20", ] result = script_runner.run(args, print_result=False) assert result.success @pytest.mark.vcr def test_filter(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", STAC_URLS["EARTH-SEARCH"], "--filter", json.dumps(FILTER_JSON), "--max-items", "20", ] result = script_runner.run(args, print_result=False) assert result.success, result.stderr assert result.stdout @pytest.mark.vcr @pytest.mark.parametrize("filename", ["netherlands_aoi.json", "sample-item.json"]) def test_intersects(self, script_runner: ScriptRunner, filename: str) -> None: args = [ "stac-client", "search", STAC_URLS["PLANETARY-COMPUTER"], "--collections", "landsat-8-c2-l2", "--intersects", str(TEST_DATA / filename), "--max-items", "10", ] result = script_runner.run(args, print_result=False) assert result.success, result.stderr assert result.stdout @pytest.mark.vcr def test_intersects_despite_warning(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", STAC_URLS["PLANETARY-COMPUTER"], "--collections", "landsat-8-c2-l2", "--intersects", str(TEST_DATA / "sample-item-collection.json"), "--max-items", "10", ] result = script_runner.run(args, print_result=False) assert result.success assert result.stdout assert "input to intersects is a FeatureCollection" in result.stderr @pytest.mark.parametrize( "headers,good_header_count", [ (["kick=flip", "home=run"], 2), (["mad=pow"], 1), (["=no-var"], 0), (["no-val="], 0), (["good=header", "bad-header"], 1), (["header=value-with-three-=-signs-=", "plain=jane"], 2), ], ) def test_headers(self, headers: List[str], good_header_count: int) -> None: args = [ "search", STAC_URLS["PLANETARY-COMPUTER"], "-c", "naip", "--max-items", "20", "--headers", ] + headers pargs = pystac_client.cli.parse_args(args) assert len(pargs["headers"]) == good_header_count def test_no_arguments(self, script_runner: ScriptRunner) -> None: args = ["stac-client"] result = script_runner.run(*args, print_result=False) assert not result.success assert result.returncode == 1 @pytest.mark.vcr def test_non_conformant_raises_by_default( self, script_runner: ScriptRunner ) -> None: args = [ "stac-client", "search", "https://earth-search.aws.element84.com/v0", "-c", "sentinel-s2-l2a-cogs", "--matched", ] result = script_runner.run(args, print_result=False) assert result.success is False assert "Server does not conform to ITEM_SEARCH" in result.stderr assert result.returncode == 1 @pytest.mark.vcr @pytest.mark.parametrize("warning_flag", ["--error", "--error=no-conforms-to"]) def test_non_conformant_raises_if_warning_set_to_error( self, script_runner: ScriptRunner, warning_flag: str ) -> None: args = [ "stac-client", "search", "https://earth-search.aws.element84.com/v0", "-c", "sentinel-s2-l2a-cogs", warning_flag, "--matched", ] result = script_runner.run(args, print_result=False) assert result.success is False assert "Server does not advertise any conformance classes" in result.stderr assert result.returncode == 1 @pytest.mark.vcr def test_non_conformant_can_be_fixed(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", "https://earth-search.aws.element84.com/v0", "-c", "sentinel-s2-l2a-cogs", "--add-conforms-to=ITEM_SEARCH", "--matched", ] result = script_runner.run(args, print_result=False) assert result.success @pytest.mark.vcr @pytest.mark.parametrize("warning_flag", ["--ignore", "--ignore=no-conforms-to"]) def test_non_conformant_can_be_ignored( self, script_runner: ScriptRunner, warning_flag: str ) -> None: args = [ "stac-client", "search", "https://earth-search.aws.element84.com/v0", "-c", "sentinel-s2-l2a-cogs", warning_flag, "--add-conforms-to=ITEM_SEARCH", "--matched", ] result = script_runner.run(args, print_result=False) assert result.success @pytest.mark.vcr @pytest.mark.parametrize( "conforms_to_flag", ["--clear-conforms-to", "--remove-conforms-to=ITEM_SEARCH"] ) def test_altering_conforms_to( self, script_runner: ScriptRunner, conforms_to_flag: str ) -> None: args = [ "stac-client", "search", STAC_URLS["EARTH-SEARCH"], conforms_to_flag, ] result = script_runner.run(args, print_result=False) assert result.success is False assert "Server does not conform to ITEM_SEARCH" in result.stderr assert result.returncode == 1 @pytest.mark.vcr @pytest.mark.filterwarnings("ignore::Warning") def test_matched_not_available(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", STAC_URLS["PLANETARY-COMPUTER"], "-c", "naip", "--matched", ] result = script_runner.run(args, print_result=False) assert result.success is False assert "'matched' is not supported for this catalog" in result.stderr assert result.returncode == 1 @pytest.mark.vcr def test_matched(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "search", STAC_URLS["EARTH-SEARCH"], "-c", "cop-dem-glo-30", "--max-items", "1", "--matched", ] result = script_runner.run(args, print_result=False) assert result.success assert result.stdout[0].isdigit(), "Output does not start with a number" @pytest.mark.vcr def test_save(self, script_runner: ScriptRunner) -> None: with tempfile.NamedTemporaryFile() as fp: path = fp.name args = [ "stac-client", "search", STAC_URLS["EARTH-SEARCH"], "-c", "cop-dem-glo-30", "--max-items", "1", "--save", path, ] result = script_runner.run(args, print_result=False) assert result.success with open(path) as f: output = json.loads(f.read()) assert "features" in output assert len(output["features"]) == 1 @pytest.mark.filterwarnings("ignore::pystac_client.warnings.PystacClientWarning") class TestCLICollections: @pytest.mark.vcr def test_collections(self, script_runner: ScriptRunner) -> None: args = [ "stac-client", "collections", STAC_URLS["EARTH-SEARCH"], ] result = script_runner.run(args, print_result=False) assert result.success assert result.stdout.startswith('[{"type": "Collection"') @pytest.mark.vcr def test_save(self, script_runner: ScriptRunner) -> None: with tempfile.NamedTemporaryFile() as fp: path = fp.name args = [ "stac-client", "collections", STAC_URLS["EARTH-SEARCH"], "--save", path, ] result = script_runner.run(args, print_result=False) assert result.success with open(path) as f: output = json.loads(f.read()) assert isinstance(output, list) assert len(output) == 9, "earth-search does not have 9 collections" assert all(c["type"] == "Collection" for c in output) pystac-client-0.8.3/tests/test_client.py000066400000000000000000000651421464746411700203600ustar00rootroot00000000000000import json import os.path import warnings from datetime import datetime from tempfile import TemporaryDirectory from typing import Any, Dict from urllib.parse import parse_qs, urlsplit import pystac import pytest from dateutil.tz import tzutc from pystac import MediaType from requests_mock import Mocker from pystac_client import Client, CollectionClient from pystac_client._utils import Modifiable from pystac_client.conformance import ConformanceClasses from pystac_client.errors import ClientTypeError, IgnoredResultWarning from pystac_client.exceptions import APIError from pystac_client.stac_api_io import StacApiIO from pystac_client.warnings import ( DoesNotConformTo, FallbackToPystac, MissingLink, NoConformsTo, strict, ) from .helpers import STAC_URLS, TEST_DATA, read_data_file class TestAPI: @pytest.mark.vcr def test_instance(self) -> None: api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) # An API instance is also a Catalog instance assert isinstance(api, pystac.Catalog) assert str(api) == "" @pytest.mark.vcr def test_links(self) -> None: api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) # Should be able to get collections via links as with a typical PySTAC Catalog collection_links = api.get_links("child") assert len(collection_links) > 0 collections = list(api.get_collections()) assert len(collection_links) == len(collections) first_child_link = api.get_single_link("child") assert first_child_link is not None first_collection = first_child_link.resolve_stac_object(root=api).target assert isinstance(first_collection, pystac.Collection) @pytest.mark.vcr def test_from_file(self) -> None: api = Client.from_file(STAC_URLS["PLANETARY-COMPUTER"]) assert api.title == "Microsoft Planetary Computer STAC API" def test_invalid_url(self) -> None: with pytest.raises(TypeError): Client.open() # type: ignore[call-arg] def test_get_collections_with_conformance(self, requests_mock: Mocker) -> None: """Checks that the "data" endpoint is used if the API published the STAC API Collections conformance class.""" pc_root_text = read_data_file("planetary-computer-root.json") pc_collection_dict = read_data_file( "planetary-computer-aster-l1t-collection.json", parse_json=True ) # Mock the root catalog requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, text=pc_root_text ) api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) assert api.conforms_to(ConformanceClasses.COLLECTIONS) # Get & mock the collections (rel type "data") link collections_link = api.get_single_link("data") assert collections_link is not None requests_mock.get( collections_link.href, status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 assert history[1].url == collections_link.href def test_get_collections_single_slash(self, requests_mock: Mocker) -> None: pc_root_text = read_data_file("planetary-computer-root.json") root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=pc_root_text) api = Client.open(root_url) pc_collection_dict = read_data_file( "planetary-computer-aster-l1t-collection.json", parse_json=True ) requests_mock.get( f"{root_url}collections", # note the lack of the slash status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) api.remove_links("data") with pytest.warns(MissingLink, match="No link with rel='data'"): _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 assert history[1].url == f"{root_url}collections" def test_keep_trailing_slash_on_root(self, requests_mock: Mocker) -> None: pc_root_text = read_data_file("planetary-computer-root.json") root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=pc_root_text) client = Client.open(root_url) self_href = client.get_self_href() assert self_href assert self_href.endswith("/") def test_fall_back_to_data_link_for_collections( self, requests_mock: Mocker ) -> None: pc_root_text = read_data_file("planetary-computer-root.json") root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=pc_root_text) api = Client.open(root_url) api.set_self_href(None) pc_collection_dict = read_data_file( "planetary-computer-aster-l1t-collection.json", parse_json=True ) requests_mock.get( # the href of the data link "https://planetarycomputer.microsoft.com/api/stac/v1/collections", status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 assert ( history[1].url == "https://planetarycomputer.microsoft.com/api/stac/v1/collections" ) def test_build_absolute_href_from_data_link(self, requests_mock: Mocker) -> None: pc_root = read_data_file("planetary-computer-root.json", parse_json=True) assert isinstance(pc_root, Dict) for link in pc_root["links"]: if link["rel"] == "data": link["href"] = "./collections" root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=json.dumps(pc_root)) api = Client.open(root_url) api.set_self_href(None) api.add_link( pystac.Link( rel="self", target="https://planetarycomputer.microsoft.com/api/stac/v1/", ) ) pc_collection_dict = read_data_file( "planetary-computer-aster-l1t-collection.json", parse_json=True ) requests_mock.get( # the href of the data link "https://planetarycomputer.microsoft.com/api/stac/v1/collections", status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 assert ( history[1].url == "https://planetarycomputer.microsoft.com/api/stac/v1/collections" ) def test_error_if_no_self_href_or_data_link(self, requests_mock: Mocker) -> None: pc_root = read_data_file("planetary-computer-root.json", parse_json=True) assert isinstance(pc_root, Dict) pc_root["links"] = [link for link in pc_root["links"] if link["rel"] != "data"] root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=json.dumps(pc_root)) api = Client.open(root_url) api.set_self_href(None) with pytest.warns(MissingLink, match="No link with rel='data'"): with pytest.raises(ValueError, match="does not have a self_href set"): _ = api.get_collection("an-id") def test_custom_request_parameters(self, requests_mock: Mocker) -> None: pc_root_text = read_data_file("planetary-computer-root.json") pc_collection_dict = read_data_file( "planetary-computer-collection.json", parse_json=True ) requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, text=pc_root_text ) init_qp_name = "my-param" init_qp_value = "some-value" api = Client.open( STAC_URLS["PLANETARY-COMPUTER"], parameters={init_qp_name: init_qp_value} ) # Ensure that the Client will use the /collections endpoint and not fall back # to traversing child links. assert api.conforms_to(ConformanceClasses.COLLECTIONS) # Get the /collections endpoint collections_link = api.get_single_link("data") assert collections_link is not None # Mock the request requests_mock.get( collections_link.href, status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) # Make the collections request _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 actual_qs = urlsplit(history[1].url).query actual_qp = parse_qs(actual_qs) # Check that the param from the init method is present assert init_qp_name in actual_qp assert len(actual_qp[init_qp_name]) == 1 assert actual_qp[init_qp_name][0] == init_qp_value def test_custom_query_params_get_collections_propagation( self, requests_mock: Mocker ) -> None: """Checks that query params passed to the init method are added to requests for CollectionClients fetched from the /collections endpoint.""" pc_root_text = read_data_file("planetary-computer-root.json") pc_collection_dict = read_data_file( "planetary-computer-collection.json", parse_json=True ) requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, text=pc_root_text ) init_qp_name = "my-param" init_qp_value = "some-value" client = Client.open( STAC_URLS["PLANETARY-COMPUTER"], parameters={init_qp_name: init_qp_value} ) # Get the /collections endpoint collections_link = client.get_single_link("data") assert collections_link is not None # Mock the request requests_mock.get( collections_link.href, status_code=200, json={"collections": [pc_collection_dict], "links": []}, ) # Make the collections request collection = next(client.get_collections()) # Mock the items endpoint items_link = collection.get_single_link("items") assert items_link is not None requests_mock.get( items_link.href, status_code=200, json={ "type": "FeatureCollection", "stac_version": "1.0.0", "features": [], "links": [], }, ) # Make the items request _ = list(collection.get_items()) history = requests_mock.request_history assert len(history) == 3 actual_qs = urlsplit(history[2].url).query actual_qp = parse_qs(actual_qs) # Check that the query param from the root Client is present assert init_qp_name in actual_qp assert len(actual_qp[init_qp_name]) == 1 assert actual_qp[init_qp_name][0] == init_qp_value def test_custom_query_params_get_collection_propagation( self, requests_mock: Mocker ) -> None: """Checks that query params passed to the init method are added to requests for CollectionClients fetched from the /collections endpoint.""" pc_root_text = read_data_file("planetary-computer-root.json") pc_collection_dict = read_data_file( "planetary-computer-collection.json", parse_json=True ) assert isinstance(pc_collection_dict, dict) pc_collection_id = pc_collection_dict["id"] requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, text=pc_root_text ) init_qp_name = "my-param" init_qp_value = "some-value" client = Client.open( STAC_URLS["PLANETARY-COMPUTER"], parameters={init_qp_name: init_qp_value} ) # Get the /collections endpoint collections_link = client.get_single_link("data") assert collections_link is not None collection_href = collections_link.href + "/" + pc_collection_id # Mock the request requests_mock.get(collection_href, status_code=200, json=pc_collection_dict) # Make the collections request collection = client.get_collection(pc_collection_id) assert collection is not None # Mock the items endpoint items_link = collection.get_single_link("items") assert items_link is not None requests_mock.get( items_link.href, status_code=200, json={ "type": "FeatureCollection", "stac_version": "1.0.0", "features": [], "links": [], }, ) # Make the items request _ = list(collection.get_items()) history = requests_mock.request_history assert len(history) == 3 actual_qs = urlsplit(history[2].url).query actual_qp = parse_qs(actual_qs) # Check that the query param from the root Client is present assert init_qp_name in actual_qp assert len(actual_qp[init_qp_name]) == 1 assert actual_qp[init_qp_name][0] == init_qp_value def test_get_collections_without_conformance_fallsback_to_pystac( self, requests_mock: Mocker ) -> None: pc_root_dict = read_data_file("planetary-computer-root.json", parse_json=True) pc_collection_dict = read_data_file( "planetary-computer-aster-l1t-collection.json", parse_json=True ) # Remove the collections conformance class pc_root_dict["conformsTo"].remove( "https://api.stacspec.org/v1.0.0-beta.1/collections" ) # Remove all child links except for the collection that we are mocking pc_collection_href = next( link["href"] for link in pc_collection_dict["links"] if link["rel"] == "self" ) pc_root_dict["links"] = [ link for link in pc_root_dict["links"] if link["rel"] != "child" or link["href"] == pc_collection_href ] # Mock the root catalog requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, json=pc_root_dict ) api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) assert api.has_conforms_to() assert not api.conforms_to(ConformanceClasses.COLLECTIONS) assert not api.conforms_to(ConformanceClasses.FEATURES) # Mock the collection requests_mock.get(pc_collection_href, status_code=200, json=pc_collection_dict) with pytest.warns(FallbackToPystac): with pytest.warns(DoesNotConformTo, match="COLLECTIONS, FEATURES"): _ = next(api.get_collections()) history = requests_mock.request_history assert len(history) == 2 def test_opening_a_collection(self) -> None: path = str(TEST_DATA / "planetary-computer-aster-l1t-collection.json") with pytest.raises(ClientTypeError): Client.open(path) def test_headers_with_custom_stac_io(self, requests_mock: Mocker) -> None: pc_root_dict = read_data_file("planetary-computer-root.json", parse_json=True) requests_mock.get( STAC_URLS["PLANETARY-COMPUTER"], status_code=200, json=pc_root_dict, request_headers={"ski": "pow", "shred": "gnar"}, ) stac_io = StacApiIO(headers={"ski": "pow"}) _ = Client.open( STAC_URLS["PLANETARY-COMPUTER"], headers={"shred": "gnar"}, stac_io=stac_io ) class TestAPISearch: @pytest.fixture(scope="function") def api(self) -> Client: return Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) def test_search_conformance_error(self, api: Client) -> None: # Remove item search conformance api.remove_conforms_to("ITEM_SEARCH") with strict(): with pytest.raises(DoesNotConformTo, match="ITEM_SEARCH"): api.search(limit=10, max_items=10, collections="mr-peebles") def test_no_search_link(self, api: Client) -> None: # Remove the search link api.remove_links("search") with strict(): with pytest.raises( MissingLink, match="No link with rel='search' could be found on this Client", ): api.search(limit=10, max_items=10, collections="naip") def test_no_conforms_to(self) -> None: with open(str(TEST_DATA / "planetary-computer-root.json")) as f: data = json.load(f) del data["conformsTo"] with TemporaryDirectory() as temporary_directory: path = os.path.join(temporary_directory, "catalog.json") with open(path, "w") as f: json.dump(data, f) api = Client.from_file(path) with strict(): with pytest.raises(DoesNotConformTo, match="ITEM_SEARCH"): api.search(limit=10, max_items=10, collections="naip") def test_search(self, api: Client) -> None: results = api.search( bbox=[-73.21, 43.99, -73.12, 44.05], collections="naip", limit=10, max_items=20, datetime=[datetime(2020, 1, 1, 0, 0, 0, tzinfo=tzutc()), None], ) assert results._parameters == { "bbox": (-73.21, 43.99, -73.12, 44.05), "collections": ("naip",), "limit": 10, "datetime": "2020-01-01T00:00:00Z/..", } def test_json_search_link(self, api: Client) -> None: search_link = api.get_single_link(rel="search") assert search_link api.remove_links(rel="search") search_link.media_type = MediaType.JSON api.add_link(search_link) api.search(limit=1, max_items=1, collections="naip") @pytest.mark.vcr def test_search_max_items_unlimited_default(self, api: Client) -> None: search = api.search( bbox=[-73.21, 43.99, -73.12, 45.05], collections="naip", datetime="2014-01-01/2020-12-31", ) items = list(search.items()) assert len(items) > 100 class MySign: def __init__(self) -> None: self.call_count = 0 def __call__(self, x: Modifiable) -> None: self.call_count += 1 class TestSigning: @pytest.mark.vcr def test_signing(self) -> None: sign = MySign() # sign is callable, but mypy keeps trying to interpret it as a "MySign" object. client = Client.open(STAC_URLS["PLANETARY-COMPUTER"], modifier=sign) assert client.modifier is sign collection = client.get_collection("cil-gdpcir-cc0") assert collection assert isinstance(collection, CollectionClient) assert collection.modifier is sign assert sign.call_count == 1 collection.get_item("cil-gdpcir-INM-INM-CM5-0-ssp585-r1i1p1f1-day") assert sign.call_count == 2 next(client.get_collections()) assert sign.call_count == 3 next(client.get_items()) assert sign.call_count == 4 next(client.get_all_items()) assert sign.call_count == 5 search = client.search(collections=["sentinel-2-l2a"], max_items=10) next(search.items_as_dicts()) assert sign.call_count == 6 next(search.items()) assert sign.call_count == 7 next(search.pages_as_dicts()) assert sign.call_count == 8 next(search.pages()) assert sign.call_count == 9 search.item_collection_as_dict() assert sign.call_count == 10 search.item_collection() assert sign.call_count == 11 @pytest.mark.vcr def test_sign_with_return_warns(self) -> None: def modifier_ok(x: Any) -> Any: return x def modifier_bad(x: Any) -> Any: return 0 client = Client.open(STAC_URLS["PLANETARY-COMPUTER"], modifier=modifier_ok) with warnings.catch_warnings(): warnings.simplefilter("error") client.get_collection("sentinel-2-l2a") client = Client.open(STAC_URLS["PLANETARY-COMPUTER"], modifier=modifier_bad) with pytest.warns(IgnoredResultWarning): client.get_collection("sentinel-2-l2a") class TestQueryables: @pytest.mark.vcr def test_get_queryables(self) -> None: api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) with pytest.warns(MissingLink, match="queryables"): result = api.get_queryables() assert "properties" in result assert "id" in result["properties"] @pytest.mark.vcr def test_get_queryables_collections(self) -> None: api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) with pytest.warns(MissingLink, match="queryables"): col = api.get_collection("3dep-seamless") assert isinstance(col, CollectionClient) tdep_seamless_props = col.get_queryables()["properties"] col = api.get_collection("fia") assert isinstance(col, CollectionClient) fia_props = col.get_queryables()["properties"] result = api.get_merged_queryables(["fia", "3dep-seamless"]) assert "properties" in result assert "id" in result["properties"] assert set(fia_props.keys()).issubset(result["properties"]) assert set(tdep_seamless_props.keys()).issubset(result["properties"]) def test_get_queryables_errors(self, requests_mock: Mocker) -> None: pc_root_text = read_data_file("planetary-computer-root.json") root_url = "http://pystac-client.test/" requests_mock.get(root_url, status_code=200, text=pc_root_text) api = Client.open(root_url) with pytest.raises(DoesNotConformTo, match="FILTER"): api.get_queryables() assert api._stac_io is not None api.add_conforms_to("FILTER") self_href = api.get_self_href() api.set_self_href(None) with pytest.warns(MissingLink, match="queryables"): with pytest.raises(ValueError, match="does not have a self_href set"): api.get_queryables() api.set_self_href(self_href) api._stac_io = None with pytest.warns(MissingLink, match="queryables"): with pytest.raises(APIError, match="API access is not properly configured"): api.get_queryables() class TestConformsTo: def test_ignore_conformance_is_deprecated_and_noop(self) -> None: with pytest.warns( FutureWarning, match="`ignore_conformance` option is deprecated" ): client = Client.open( str(TEST_DATA / "planetary-computer-root.json"), ignore_conformance=True, ) assert client.has_conforms_to() assert client.conforms_to(ConformanceClasses.CORE) def test_set_conforms_to_using_list_of_uris(self) -> None: client = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) client.set_conforms_to(["https://api.stacspec.org/v1.0.0-rc.2/core"]) assert client.conforms_to(ConformanceClasses.CORE) def test_add_and_remove_conforms_to_by_string(self) -> None: client = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) client.remove_conforms_to("core") assert not client.conforms_to(ConformanceClasses.CORE) client.add_conforms_to("core") assert client.conforms_to("CORE") def test_clear_all_conforms_to(self) -> None: client = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) client.clear_conforms_to() assert not client.has_conforms_to() def test_empty_conforms_to(self) -> None: client = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) client.set_conforms_to([]) assert client.has_conforms_to(), "The conformsTo field should still exist" assert not client.conforms_to(ConformanceClasses.CORE) assert not client.conforms_to(ConformanceClasses.ITEM_SEARCH) def test_no_conforms_to_falls_back_to_pystac(self) -> None: client = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) client.clear_conforms_to() with strict(): with pytest.raises(FallbackToPystac): next(client.get_collections()) @pytest.mark.vcr def test_changing_conforms_to_changes_behavior(self) -> None: with pytest.warns(NoConformsTo): client = Client.open("https://earth-search.aws.element84.com/v0") with pytest.warns(FallbackToPystac): next(client.get_collections()) client.add_conforms_to("COLLECTIONS") with pytest.warns(MissingLink, match="rel='data'"): next(client.get_collections()) @pytest.mark.vcr def test_collections_are_clients() -> None: # https://github.com/stac-utils/pystac-client/issues/548 catalog = Client.open( "https://planetarycomputer.microsoft.com/api/stac/v1/", ) item = catalog.get_collection("cil-gdpcir-cc-by").get_item( "cil-gdpcir-NUIST-NESM3-ssp585-r1i1p1f1-day" ) assert item item.get_collection() @pytest.mark.vcr def test_get_items_without_ids() -> None: client = Client.open( "https://planetarycomputer.microsoft.com/api/stac/v1/", ) next(client.get_items()) @pytest.mark.vcr def test_non_recursion_on_fallback() -> None: path = "https://raw.githubusercontent.com/stac-utils/pystac/v1.9.0/docs/example-catalog/catalog.json" catalog = Client.from_file(path) with pytest.warns(FallbackToPystac): [i for i in catalog.get_items()] @pytest.mark.vcr def test_fallback_strategy() -> None: """Make sure links get recreated correctly using APILayoutStrategy.""" client = Client.open( "https://planetarycomputer.microsoft.com/api/stac/v1/", ) col = client.get_collection("landsat-c2-l2") item = next(col.get_items()) item_href = item.self_href col_href = col.self_href root_href = client.self_href col.links = [] item.links = [] client.add_child(col) col.add_item(item) assert col.self_href == col_href assert (col_parent := col.get_single_link("parent")) assert col_parent.href == root_href assert (col_root := col.get_single_link("root")) assert col_root.href == root_href assert item.self_href == item_href assert (item_col := item.get_single_link("collection")) assert item_col.href == col_href assert (item_parent := item.get_single_link("parent")) assert item_parent.href == col_href assert (item_root := item.get_single_link("root")) assert item_root.href == root_href pystac-client-0.8.3/tests/test_collection_client.py000066400000000000000000000064461464746411700225750ustar00rootroot00000000000000import pytest from pystac_client import CollectionClient from pystac_client.client import Client from pystac_client.warnings import FallbackToPystac, MissingLink from .helpers import STAC_URLS class TestCollectionClient: @pytest.mark.vcr def test_instance(self) -> None: client = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection = client.get_collection("aster-l1t") assert isinstance(collection, CollectionClient) assert str(collection) == "" @pytest.mark.vcr def test_get_items(self) -> None: client = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection = client.get_collection("aster-l1t") assert collection is not None for item in collection.get_items(): assert item.collection_id == collection.id return @pytest.mark.vcr def test_get_items_with_ids(self) -> None: client = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection = client.get_collection("aster-l1t") ids = [ "AST_L1T_00312272006020322_20150518201805", "AST_L1T_00312272006020313_20150518201753", "AST_L1T_00312272006020304_20150518201753", ] assert collection is not None for item in collection.get_items(*ids): assert item.collection_id == collection.id assert item.id in ids @pytest.mark.vcr def test_get_item(self) -> None: client = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection = client.get_collection("aster-l1t") assert collection is not None item = collection.get_item("AST_L1T_00312272006020322_20150518201805") assert item assert item.id == "AST_L1T_00312272006020322_20150518201805" item = collection.get_item("for-sure-not-a-real-id") assert item is None @pytest.mark.vcr def test_get_item_with_item_search(self) -> None: client = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection = client.get_collection("aster-l1t") assert collection is not None client.set_conforms_to( [ "https://api.stacspec.org/v1.0.0-rc.2/core", "https://api.stacspec.org/v1.0.0-rc.2/item-search", ] ) item = collection.get_item("AST_L1T_00312272006020322_20150518201805") assert item assert item.id == "AST_L1T_00312272006020322_20150518201805" item = collection.get_item("for-sure-not-a-real-id") assert item is None with pytest.warns(FallbackToPystac): item = collection.get_item( "AST_L1T_00312272006020322_20150518201805", recursive=True ) assert item assert item.id == "AST_L1T_00312272006020322_20150518201805" @pytest.mark.vcr def test_get_queryables(self) -> None: api = Client.open(STAC_URLS["PLANETARY-COMPUTER"]) collection_client = api.get_collection("landsat-c2-l2") assert collection_client is not None assert isinstance(collection_client, CollectionClient) with pytest.warns(MissingLink, match="/queryables"): result = collection_client.get_queryables() assert "instrument" in result["properties"] assert "landsat:scene_id" in result["properties"] pystac-client-0.8.3/tests/test_item_search.py000066400000000000000000000742301464746411700213630ustar00rootroot00000000000000import json import operator import urllib.parse from datetime import datetime, timedelta from typing import Any, Dict, Iterator import pystac import pytest import requests from dateutil.tz import gettz, tzutc from pytest_benchmark.fixture import BenchmarkFixture from requests_mock import Mocker from pystac_client import Client from pystac_client.item_search import ItemSearch from .helpers import STAC_URLS, read_data_file SEARCH_URL = f"{STAC_URLS['PLANETARY-COMPUTER']}/search" INTERSECTS_EXAMPLE = { "type": "Polygon", "coordinates": [ [ [-73.21, 43.99], [-73.21, 44.05], [-73.12, 44.05], [-73.12, 43.99], [-73.21, 43.99], ] ], } ITEM_EXAMPLE: Dict[str, Any] = {"collections": "io-lulc", "ids": "60U-2020"} class TestItemPerformance: @pytest.fixture(scope="function") def single_href(self) -> str: item_href = ( "https://planetarycomputer.microsoft.com/api/stac/v1/collections/" f"{ITEM_EXAMPLE['collections']}/items/{ITEM_EXAMPLE['ids']}" ) return item_href def test_requests(self, benchmark: BenchmarkFixture, single_href: str) -> None: response = benchmark(requests.get, single_href) assert response.status_code == 200 assert response.json()["id"] == ITEM_EXAMPLE["ids"] def test_single_item(self, benchmark: BenchmarkFixture, single_href: str) -> None: item = benchmark(pystac.Item.from_file, single_href) assert item.id == ITEM_EXAMPLE["ids"] def test_single_item_search( self, benchmark: BenchmarkFixture, single_href: str ) -> None: search = ItemSearch(url=SEARCH_URL, **ITEM_EXAMPLE) item_collection = benchmark(search.item_collection()) assert len(item_collection.items) == 1 assert item_collection.items[0].id == ITEM_EXAMPLE["ids"] class TestItemSearchParams: @pytest.fixture(scope="function") def sample_client(self) -> Client: api_content = read_data_file("planetary-computer-root.json", parse_json=True) return Client.from_dict(api_content) def test_tuple_bbox(self) -> None: # Tuple input search = ItemSearch(url=SEARCH_URL, bbox=(-104.5, 44.0, -104.0, 45.0)) assert search.get_parameters()["bbox"] == (-104.5, 44.0, -104.0, 45.0) def test_list_bbox(self) -> None: # List input search = ItemSearch(url=SEARCH_URL, bbox=[-104.5, 44.0, -104.0, 45.0]) assert search.get_parameters()["bbox"] == (-104.5, 44.0, -104.0, 45.0) def test_string_bbox(self) -> None: # String Input search = ItemSearch(url=SEARCH_URL, bbox="-104.5,44.0,-104.0,45.0") assert search.get_parameters()["bbox"] == (-104.5, 44.0, -104.0, 45.0) def test_generator_bbox(self) -> None: # Generator Input def bboxer() -> Iterator[float]: yield from [-104.5, 44.0, -104.0, 45.0] search = ItemSearch(url=SEARCH_URL, bbox=bboxer()) assert search.get_parameters()["bbox"] == (-104.5, 44.0, -104.0, 45.0) def test_url_with_parameters(self) -> None: # Single timestamp input search = ItemSearch( url=SEARCH_URL, datetime="2020-02-01T00:00:00Z", bbox=[-104.5, 44.0, -104.0, 45.0], ) assert "bbox=-104.5%2C44.0%2C-104.0%2C45.0" in search.url_with_parameters() # Motivating example: https://github.com/stac-utils/pystac-client/issues/299 search = ItemSearch( url="https://planetarycomputer.microsoft.com/api/stac/v1/search", collections=["cop-dem-glo-30"], bbox=[88.214, 27.927, 88.302, 28.034], ) assert ( search.url_with_parameters() == "https://planetarycomputer.microsoft.com/api/stac/v1/search?" "bbox=88.214%2C27.927%2C88.302%2C28.034&collections=cop-dem-glo-30" ) def test_single_string_datetime(self) -> None: # Single timestamp input search = ItemSearch(url=SEARCH_URL, datetime="2020-02-01T00:00:00Z") assert search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z" def test_range_string_datetime(self) -> None: # Timestamp range input search = ItemSearch( url=SEARCH_URL, datetime="2020-02-01T00:00:00Z/2020-02-02T00:00:00Z" ) assert ( search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z/2020-02-02T00:00:00Z" ) def test_list_of_strings_datetime(self) -> None: # Timestamp list input search = ItemSearch( url=SEARCH_URL, datetime=["2020-02-01T00:00:00Z", "2020-02-02T00:00:00Z"] ) assert ( search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z/2020-02-02T00:00:00Z" ) def test_open_range_string_datetime(self) -> None: # Open timestamp range input search = ItemSearch(url=SEARCH_URL, datetime="2020-02-01T00:00:00Z/..") assert search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z/.." def test_single_datetime_object(self) -> None: start = datetime(2020, 2, 1, 0, 0, 0, tzinfo=tzutc()) # Single datetime input search = ItemSearch(url=SEARCH_URL, datetime=start) assert search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z" def test_list_of_datetimes(self) -> None: start = datetime(2020, 2, 1, 0, 0, 0, tzinfo=tzutc()) end = datetime(2020, 2, 2, 0, 0, 0, tzinfo=tzutc()) # Datetime range input search = ItemSearch(url=SEARCH_URL, datetime=[start, end]) assert ( search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z/2020-02-02T00:00:00Z" ) def test_open_list_of_datetimes(self) -> None: start = datetime(2020, 2, 1, 0, 0, 0, tzinfo=tzutc()) # Open datetime range input search = ItemSearch(url=SEARCH_URL, datetime=(start, None)) assert search.get_parameters()["datetime"] == "2020-02-01T00:00:00Z/.." def test_localized_datetime_converted_to_utc(self) -> None: # Localized datetime input (should be converted to UTC) start_localized = datetime(2020, 2, 1, 0, 0, 0, tzinfo=gettz("US/Eastern")) search = ItemSearch(url=SEARCH_URL, datetime=start_localized) assert search.get_parameters()["datetime"] == "2020-02-01T05:00:00Z" def test_single_year(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2020") assert ( search.get_parameters()["datetime"] == "2020-01-01T00:00:00Z/2020-12-31T23:59:59Z" ) def test_range_of_years(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2019/2020") assert ( search.get_parameters()["datetime"] == "2019-01-01T00:00:00Z/2020-12-31T23:59:59Z" ) def test_single_month(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2020-06") assert ( search.get_parameters()["datetime"] == "2020-06-01T00:00:00Z/2020-06-30T23:59:59Z" ) def test_range_of_months(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2020-04/2020-06") assert ( search.get_parameters()["datetime"] == "2020-04-01T00:00:00Z/2020-06-30T23:59:59Z" ) def test_single_date(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2020-06-10") assert ( search.get_parameters()["datetime"] == "2020-06-10T00:00:00Z/2020-06-10T23:59:59Z" ) def test_range_of_dates(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2020-06-10/2020-06-20") assert ( search.get_parameters()["datetime"] == "2020-06-10T00:00:00Z/2020-06-20T23:59:59Z" ) def test_mixed_simple_date_strings(self) -> None: search = ItemSearch(url=SEARCH_URL, datetime="2019/2020-06-10") assert ( search.get_parameters()["datetime"] == "2019-01-01T00:00:00Z/2020-06-10T23:59:59Z" ) def test_time(self) -> None: search = ItemSearch( url=SEARCH_URL, datetime="2019-01-01T00:00:00Z/2019-01-01T00:12:00" ) assert ( search.get_parameters()["datetime"] == "2019-01-01T00:00:00Z/2019-01-01T00:12:00Z" ) def test_many_datetimes(self) -> None: datetimes = [ "1985-04-12T23:20:50.52Z", "1996-12-19T16:39:57-08:00", "1990-12-31T23:59:60Z", "1990-12-31T15:59:60-08:00", "1937-01-01T12:00:27.87+01:00", "1985-04-12T23:20:50.52Z", "1937-01-01T12:00:27.8710+01:00", "1937-01-01T12:00:27.8+01:00", "1937-01-01T12:00:27.8Z", "1985-04-12t23:20:50.5202020z", "2020-07-23T00:00:00Z", "2020-07-23T00:00:00.0Z", "2020-07-23T00:00:00.01Z", "2020-07-23T00:00:00.012Z", "2020-07-23T00:00:00.0123Z", "2020-07-23T00:00:00.01234Z", "2020-07-23T00:00:00.012345Z", "2020-07-23T00:00:00.000Z", "2020-07-23T00:00:00.000+03:00", "2020-07-23T00:00:00+03:00", "2020-07-23T00:00:00.000+03:00", "2020-07-23T00:00:00.000z", "/2023-01-01T00:00:00Z", "2023-01-01T00:00:00Z/", ] for date_time in datetimes: ItemSearch(url=SEARCH_URL, datetime=date_time) def test_three_datetimes(self) -> None: start = datetime(2020, 2, 1, 0, 0, 0, tzinfo=tzutc()) middle = datetime(2020, 2, 2, 0, 0, 0, tzinfo=tzutc()) end = datetime(2020, 2, 3, 0, 0, 0, tzinfo=tzutc()) with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, datetime=[start, middle, end]) def test_double_open_ended_interval(self) -> None: with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, datetime=[None, None]) def test_datetime_list_of_one_none(self) -> None: with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, datetime=[None]) def test_poorly_formed_datetimes(self) -> None: with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, datetime="2020-7/2020-8") def test_single_collection_string(self) -> None: # Single ID string search = ItemSearch(url=SEARCH_URL, collections="naip") assert search.get_parameters()["collections"] == ("naip",) def test_multiple_collection_string(self) -> None: # Comma-separated ID string search = ItemSearch(url=SEARCH_URL, collections="naip,landsat8_l1tp") assert search.get_parameters()["collections"] == ("naip", "landsat8_l1tp") def test_list_of_collection_strings(self) -> None: # List of ID strings search = ItemSearch(url=SEARCH_URL, collections=["naip", "landsat8_l1tp"]) assert search.get_parameters()["collections"] == ("naip", "landsat8_l1tp") def test_generator_of_collection_strings(self) -> None: # Generator of ID strings def collectioner() -> Iterator[str]: yield from ["naip", "landsat8_l1tp"] search = ItemSearch(url=SEARCH_URL, collections=collectioner()) assert search.get_parameters()["collections"] == ("naip", "landsat8_l1tp") def test_single_id_string(self) -> None: # Single ID search = ItemSearch(url=SEARCH_URL, ids="m_3510836_se_12_060_20180508_20190331") assert search.get_parameters()["ids"] == ( "m_3510836_se_12_060_20180508_20190331", ) def test_multiple_id_string(self) -> None: # Comma-separated ID string search = ItemSearch( url=SEARCH_URL, ids="m_3510836_se_12_060_20180508_20190331,m_3510840_se_12_060_20180504_20190331", ) assert search.get_parameters()["ids"] == ( "m_3510836_se_12_060_20180508_20190331", "m_3510840_se_12_060_20180504_20190331", ) def test_list_of_id_strings(self) -> None: # List of IDs search = ItemSearch( url=SEARCH_URL, ids=[ "m_3510836_se_12_060_20180508_20190331", "m_3510840_se_12_060_20180504_20190331", ], ) assert search.get_parameters()["ids"] == ( "m_3510836_se_12_060_20180508_20190331", "m_3510840_se_12_060_20180504_20190331", ) def test_generator_of_id_string(self) -> None: # Generator of IDs def ids() -> Iterator[str]: yield from [ "m_3510836_se_12_060_20180508_20190331", "m_3510840_se_12_060_20180504_20190331", ] search = ItemSearch(url=SEARCH_URL, ids=ids()) assert search.get_parameters()["ids"] == ( "m_3510836_se_12_060_20180508_20190331", "m_3510840_se_12_060_20180504_20190331", ) def test_intersects_dict(self) -> None: # Dict input search = ItemSearch(url=SEARCH_URL, intersects=INTERSECTS_EXAMPLE) assert search.get_parameters()["intersects"] == INTERSECTS_EXAMPLE def test_intersects_json_string(self) -> None: # JSON string input search = ItemSearch(url=SEARCH_URL, intersects=json.dumps(INTERSECTS_EXAMPLE)) assert search.get_parameters()["intersects"] == INTERSECTS_EXAMPLE def test_intersects_non_geo_interface_object(self) -> None: with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, intersects=object()) # type: ignore def test_filter_lang_default_for_dict(self) -> None: search = ItemSearch(url=SEARCH_URL, filter={}) assert search.get_parameters()["filter-lang"] == "cql2-json" def test_filter_lang_default_for_str(self) -> None: search = ItemSearch(url=SEARCH_URL, filter="") assert search.get_parameters()["filter-lang"] == "cql2-text" def test_filter_lang_cql2_text(self) -> None: # Use specified filter_lang search = ItemSearch(url=SEARCH_URL, filter_lang="cql2-text", filter={}) assert search.get_parameters()["filter-lang"] == "cql2-text" def test_filter_lang_cql2_json(self) -> None: # Use specified filter_lang search = ItemSearch(url=SEARCH_URL, filter_lang="cql2-json", filter="") assert search.get_parameters()["filter-lang"] == "cql2-json" def test_filter_lang_without_filter(self) -> None: # No filter provided search = ItemSearch(url=SEARCH_URL) assert "filter-lang" not in search.get_parameters() def test_sortby(self) -> None: search = ItemSearch(url=SEARCH_URL, sortby="properties.datetime") assert search.get_parameters()["sortby"] == [ {"direction": "asc", "field": "properties.datetime"} ] search = ItemSearch(url=SEARCH_URL, sortby="+properties.datetime") assert search.get_parameters()["sortby"] == [ {"direction": "asc", "field": "properties.datetime"} ] search = ItemSearch(url=SEARCH_URL, sortby="-properties.datetime") assert search.get_parameters()["sortby"] == [ {"direction": "desc", "field": "properties.datetime"} ] search = ItemSearch( url=SEARCH_URL, sortby="-properties.datetime,+id,collection" ) assert search.get_parameters()["sortby"] == [ {"direction": "desc", "field": "properties.datetime"}, {"direction": "asc", "field": "id"}, {"direction": "asc", "field": "collection"}, ] search = ItemSearch( url=SEARCH_URL, sortby=[ {"direction": "desc", "field": "properties.datetime"}, {"direction": "asc", "field": "id"}, {"direction": "asc", "field": "collection"}, ], ) assert search.get_parameters()["sortby"] == [ {"direction": "desc", "field": "properties.datetime"}, {"direction": "asc", "field": "id"}, {"direction": "asc", "field": "collection"}, ] search = ItemSearch( url=SEARCH_URL, sortby=["-properties.datetime", "id", "collection"] ) assert search.get_parameters()["sortby"] == [ {"direction": "desc", "field": "properties.datetime"}, {"direction": "asc", "field": "id"}, {"direction": "asc", "field": "collection"}, ] search = ItemSearch( url=SEARCH_URL, method="GET", sortby=["-properties.datetime", "id", "collection"], ) assert ( search.get_parameters()["sortby"] == "-properties.datetime,+id,+collection" ) search = ItemSearch( url=SEARCH_URL, method="GET", sortby="-properties.datetime,id,collection" ) assert ( search.get_parameters()["sortby"] == "-properties.datetime,+id,+collection" ) with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, sortby=1) # type: ignore with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, sortby=[1]) # type: ignore def test_fields(self) -> None: with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, fields=1) # type: ignore with pytest.raises(Exception): ItemSearch(url=SEARCH_URL, fields=[1]) # type: ignore search = ItemSearch(url=SEARCH_URL, fields="id,collection,+foo,-bar") assert search.get_parameters()["fields"] == { "exclude": ["bar"], "include": ["id", "collection", "foo"], } search = ItemSearch(url=SEARCH_URL, fields=["id", "collection", "+foo", "-bar"]) assert search.get_parameters()["fields"] == { "exclude": ["bar"], "include": ["id", "collection", "foo"], } search = ItemSearch( url=SEARCH_URL, fields={"exclude": ["bar"], "include": ["id", "collection"]}, ) assert search.get_parameters()["fields"] == { "exclude": ["bar"], "include": ["id", "collection"], } search = ItemSearch( url=SEARCH_URL, method="GET", fields="id,collection,+foo,-bar" ) assert search.get_parameters()["fields"] == "+id,+collection,+foo,-bar" search = ItemSearch( url=SEARCH_URL, method="GET", fields=["id", "collection", "+foo", "-bar"] ) assert search.get_parameters()["fields"] == "+id,+collection,+foo,-bar" search = ItemSearch( url=SEARCH_URL, method="GET", fields={"exclude": ["bar"], "include": ["id", "collection"]}, ) assert search.get_parameters()["fields"] == "+id,+collection,-bar" class TestItemSearch: @pytest.fixture(scope="function") def astraea_api(self) -> Client: api_content = read_data_file("astraea_api.json", parse_json=True) return Client.from_dict(api_content) def test_method(self) -> None: # Default method should be POST... search = ItemSearch(url=SEARCH_URL) assert search.method == "POST" # "method" argument should take precedence over presence of "intersects" search = ItemSearch(url=SEARCH_URL, method="GET", intersects=INTERSECTS_EXAMPLE) assert search.method == "GET" def test_method_params(self) -> None: params_in: Dict[str, Any] = { "bbox": (-72, 41, -71, 42), "ids": ( "idone", "idtwo", ), "collections": ("collectionone",), "intersects": INTERSECTS_EXAMPLE, } # For POST this is pass through search = ItemSearch(url=SEARCH_URL, **params_in) params = search.get_parameters() assert params == search.get_parameters() # For GET requests, parameters are in query string and must be serialized search = ItemSearch(url=SEARCH_URL, method="GET", **params_in) params = search.get_parameters() assert all(key in params for key in params_in) assert all(isinstance(params[key], str) for key in params_in) @pytest.mark.vcr def test_results(self) -> None: search = ItemSearch( url=SEARCH_URL, collections="naip", max_items=20, limit=10, ) results = search.items() assert all(isinstance(item, pystac.Item) for item in results) @pytest.mark.vcr def test_ids_results(self) -> None: ids = [ "S2B_MSIL2A_20210610T115639_N0212_R066_T33XXG_20210613T185024.SAFE", "fl_m_2608004_nw_17_060_20191215_20200113", ] search = ItemSearch( url=SEARCH_URL, ids=ids, ) results = list(search.items()) assert len(results) == 1 assert all(item.id in ids for item in results) @pytest.mark.vcr def test_datetime_results(self) -> None: min_datetime = datetime(2019, 1, 1, 0, 0, 1, tzinfo=tzutc()) max_datetime = datetime(2019, 1, 1, 0, 0, 10, tzinfo=tzutc()) datetime_ = "2019-01-01T00:00:01Z/2019-01-01T00:00:10Z" search = ItemSearch(url=SEARCH_URL, datetime=datetime_, max_items=20) for item in search.items(): assert item.datetime is not None assert ( min_datetime <= item.datetime <= (max_datetime + timedelta(seconds=1)) ) search = ItemSearch( url=SEARCH_URL, datetime=(min_datetime, max_datetime), max_items=20 ) new_results = search.items() for item in new_results: assert item.datetime is not None assert ( min_datetime <= item.datetime <= (max_datetime + timedelta(seconds=1)) ) @pytest.mark.vcr def test_intersects_results(self) -> None: # GeoJSON-like dict intersects_dict = { "type": "Polygon", "coordinates": [ [ [-73.21, 43.99], [-73.21, 44.05], [-73.12, 44.05], [-73.12, 43.99], [-73.21, 43.99], ] ], } search = ItemSearch( url=SEARCH_URL, intersects=intersects_dict, collections="naip" ) results = list(search.items()) assert len(results) == 36 # Geo-interface object class MockGeoObject: @property def __geo_interface__(self) -> Dict[str, Any]: return intersects_dict intersects_obj = MockGeoObject() search = ItemSearch( url=SEARCH_URL, intersects=intersects_obj, collections="naip" ) new_results = search.items() assert all(isinstance(item, pystac.Item) for item in new_results) def test_get_with_query(self, requests_mock: Mocker) -> None: requests_mock.get( ( f"{SEARCH_URL}?query=%7B%22eo%3Acloud_cover%22%3A%7B%22gte%22%3A0%2C%22lte%22%3A10%7D%7D" ), status_code=200, json={"features": [{"foo": "bar"}], "links": []}, ) items = list( ItemSearch( url=SEARCH_URL, method="GET", query={"eo:cloud_cover": {"gte": 0, "lte": 10}}, ).items_as_dicts() ) assert len(items) == 1 @pytest.mark.vcr def test_result_paging(self) -> None: search = ItemSearch( url=SEARCH_URL, bbox=(-73.21, 43.99, -73.12, 44.05), collections="naip", limit=10, max_items=20, ) # Check that the current page changes on the ItemSearch instance when a new page # is requested pages = list(search.pages()) assert pages[0] != pages[1] assert pages[0].items != pages[1].items @pytest.mark.vcr def test_result_paging_max_items(self) -> None: search = ItemSearch( url=SEARCH_URL, collections="naip", limit=10, max_items=25, ) num_pages = 0 items = list() for page in search.pages_as_dicts(): num_pages += 1 items.extend(page["features"]) assert num_pages == 3 assert len(items) == 25 @pytest.mark.vcr def test_item_collection(self) -> None: search = ItemSearch( url=SEARCH_URL, bbox=(-73.21, 43.99, -73.12, 44.05), collections="naip", limit=10, max_items=20, ) item_collection = search.item_collection() assert isinstance(item_collection, pystac.ItemCollection) assert len(item_collection) == 20 @pytest.mark.vcr @pytest.mark.parametrize( "method, alternative, is_sequence, is_pystac", [ ("get_item_collections", "pages", True, True), ("item_collections", "pages", True, True), ("get_items", "items", True, True), ("get_all_items", "item_collection", False, True), ("get_all_items_as_dict", "item_collection_as_dict", False, False), ], ) def test_deprecations( self, method: str, alternative: str, is_sequence: bool, is_pystac: bool ) -> None: search = ItemSearch( url=SEARCH_URL, bbox=(-73.21, 43.99, -73.12, 44.05), collections="naip", limit=10, max_items=20, ) with pytest.warns(FutureWarning, match=method): result = operator.methodcaller(method)(search) expected = operator.methodcaller(alternative)(search) if is_sequence: result = list(result) expected = list(expected) if is_pystac: result = [x.to_dict() for x in result] expected = [x.to_dict() for x in expected] else: if is_pystac: result = result.to_dict() expected = expected.to_dict() assert result == expected @pytest.mark.vcr def test_items_as_dicts(self) -> None: search = ItemSearch( url=SEARCH_URL, bbox=(-73.21, 43.99, -73.12, 44.05), collections="naip", limit=10, max_items=20, ) assert len(list(search.items_as_dicts())) == 20 class TestItemSearchQuery: @pytest.mark.vcr def test_query_shortcut_syntax(self) -> None: search = ItemSearch( url=SEARCH_URL, collections="naip", bbox=(-73.21, 43.99, -73.12, 44.05), query=["gsd=0.6"], max_items=1, ) items1 = list(search.items()) search = ItemSearch( url=SEARCH_URL, collections="naip", bbox=(-73.21, 43.99, -73.12, 44.05), query={"gsd": {"eq": 0.6}}, max_items=1, ) items2 = list(search.items()) assert len(items1) == 1 assert len(items2) == 1 assert items1[0].id == items2[0].id @pytest.mark.vcr def test_query_json_syntax(self) -> None: # with a list of json strs (format of CLI argument to ItemSearch) search = ItemSearch( url=SEARCH_URL, collections="naip", bbox=(-73.21, 43.99, -73.12, 44.05), query=['{"gsd": { "gte": 0, "lte": 1 }}'], max_items=1, ) item1 = list(search.items())[0] assert item1.properties["gsd"] <= 1 # with a single dict search = ItemSearch( url=SEARCH_URL, collections="naip", bbox=(-73.21, 43.99, -73.12, 44.05), query={"gsd": {"gte": 0, "lte": 1}}, max_items=1, ) item2 = list(search.items())[0] assert item2.properties["gsd"] <= 1 assert item1.id == item2.id def test_query_json_syntax() -> None: item_search = ItemSearch("") assert item_search._format_query( ['{"eo:cloud_cover": { "gte": 0, "lte": 1 }}'] ) == {"eo:cloud_cover": {"gte": 0, "lte": 1}} assert item_search._format_query({"eo:cloud_cover": {"gte": 0, "lte": 1}}) == { "eo:cloud_cover": {"gte": 0, "lte": 1} } assert item_search._format_query(["eo:cloud_cover<=1"]) == { "eo:cloud_cover": {"lte": "1"} } assert item_search._format_query(["eo:cloud_cover<=1", "eo:cloud_cover>0"]) == { "eo:cloud_cover": {"lte": "1", "gt": "0"} } def test_url_with_query_parameter() -> None: # https://github.com/stac-utils/pystac-client/issues/522 search = ItemSearch( url="http://pystac-client.test", query={"eo:cloud_cover": {"lt": 42}} ) url = urllib.parse.urlparse(search.url_with_parameters()) query = urllib.parse.parse_qs(url.query) assert query["query"] == [r'{"eo:cloud_cover":{"lt":42}}'] @pytest.mark.vcr def test_multiple_collections() -> None: search = ItemSearch( url="https://earth-search.aws.element84.com/v1/search", collections=["sentinel-2-l2a", "landsat-c2-l2"], intersects={"type": "Point", "coordinates": [-105.1019, 40.1672]}, datetime="2023-10-08", ) collections = set(item.collection_id for item in search.items()) assert collections == {"sentinel-2-l2a", "landsat-c2-l2"} def test_naive_datetime() -> None: search = ItemSearch( url="https://earth-search.aws.element84.com/v1/search", datetime=datetime(2024, 5, 14, 4, 25, 42, tzinfo=None), method="POST", ) assert search.get_parameters()["datetime"] == "2024-05-14T04:25:42Z" @pytest.mark.vcr def test_fields() -> None: search = ItemSearch( url="https://earth-search.aws.element84.com/v1/search", collections=["sentinel-2-c1-l2a"], intersects={"type": "Point", "coordinates": [-105.1019, 40.1672]}, max_items=1, fields=["-geometry", "-assets", "-links"], ) item = next(search.items_as_dicts()) assert "geometry" not in item assert "assets" not in item assert "links" not in item def test_feature() -> None: search = ItemSearch( url="https://earth-search.aws.element84.com/v1/search", intersects={ "type": "Feature", "geometry": {"type": "Point", "coordinates": [-105.1019, 40.1672]}, }, ) assert search.get_parameters()["intersects"] == { "type": "Point", "coordinates": [-105.1019, 40.1672], } pystac-client-0.8.3/tests/test_stac_api_io.py000066400000000000000000000233311464746411700213460ustar00rootroot00000000000000import typing from pathlib import Path from urllib.parse import parse_qs, urlsplit import pystac import pytest from pytest import MonkeyPatch from requests_mock.mocker import Mocker from pystac_client.exceptions import APIError from pystac_client.stac_api_io import StacApiIO from .helpers import STAC_URLS class TestSTAC_IOOverride: @pytest.mark.vcr def test_request_input(self) -> None: stac_api_io = StacApiIO() response = stac_api_io.read_text(STAC_URLS["PLANETARY-COMPUTER"]) assert isinstance(response, str) @pytest.mark.vcr def test_str_input(self) -> None: stac_api_io = StacApiIO() response = stac_api_io.read_text(STAC_URLS["PLANETARY-COMPUTER"]) assert isinstance(response, str) @pytest.mark.vcr def test_http_error(self) -> None: stac_api_io = StacApiIO() # Attempt to access an authenticated endpoint with pytest.raises(APIError) as excinfo: stac_api_io.read_text(f"{STAC_URLS['MLHUB']}/search") assert isinstance(excinfo.value, APIError) def test_local_file(self, tmp_path: Path) -> None: stac_api_io = StacApiIO() test_file = tmp_path / "test.txt" with test_file.open("w") as dst: dst.write("Hi there!") response = stac_api_io.read_text(str(test_file)) assert response == "Hi there!" def test_conformance_deprecated(self) -> None: with pytest.warns(FutureWarning, match="`conformance` option is deprecated"): stac_api_io = StacApiIO(conformance=[]) assert not hasattr(stac_api_io, "conformance") def test_custom_headers(self, requests_mock: Mocker) -> None: """Checks that headers passed to the init method are added to requests.""" header_name = "x-my-header" header_value = "Some Value" url = "https://some-url.com/some-file.json" stac_api_io = StacApiIO(headers={header_name: header_value}) requests_mock.get(url, status_code=200, json={}) stac_api_io.read_json(url) history = requests_mock.request_history assert len(history) == 1 assert header_name in history[0].headers assert history[0].headers[header_name] == header_value def test_modifier(self, requests_mock: Mocker) -> None: """Verify the modifier is correctly called with a returned object.""" header_name = "x-my-header" header_value = "Some Value" url = "https://some-url.com/some-file.json" def custom_modifier(request: typing.Any) -> typing.Union[typing.Any, None]: request.headers["x-pirate-name"] = "yellowbeard" return request stac_api_io = StacApiIO( headers={header_name: header_value}, request_modifier=custom_modifier ) requests_mock.get(url, status_code=200, json={}) stac_api_io.read_json(url) history = requests_mock.request_history assert len(history) == 1 assert header_name in history[0].headers assert history[0].headers["x-pirate-name"] == "yellowbeard" def test_modifier_noreturn(self, requests_mock: Mocker) -> None: """Verify the modifier is correctly called when None is returned.""" header_name = "x-my-header" header_value = "Some Value" url = "https://some-url.com/some-file.json" def custom_modifier(request: typing.Any) -> typing.Union[typing.Any, None]: request.headers["x-pirate-name"] = "yellowbeard" return None stac_api_io = StacApiIO( headers={header_name: header_value}, request_modifier=custom_modifier ) requests_mock.get(url, status_code=200, json={}) stac_api_io.read_json(url) history = requests_mock.request_history assert len(history) == 1 assert header_name in history[0].headers assert history[0].headers["x-pirate-name"] == "yellowbeard" def test_custom_query_params(self, requests_mock: Mocker) -> None: """Checks that query params passed to the init method are added to requests.""" init_qp_name = "my-param" init_qp_value = "something" url = "https://some-url.com/some-file.json" stac_api_io = StacApiIO(parameters={init_qp_name: init_qp_value}) request_qp_name = "another-param" request_qp_value = "another_value" requests_mock.get(url, status_code=200, json={}) stac_api_io.read_json(url, parameters={request_qp_name: request_qp_value}) history = requests_mock.request_history assert len(history) == 1 actual_qs = urlsplit(history[0].url).query actual_qp = parse_qs(actual_qs) # Check that the param from the init method is present assert init_qp_name in actual_qp assert len(actual_qp[init_qp_name]) == 1 assert actual_qp[init_qp_name][0] == init_qp_value # Check that the param from the request is present assert request_qp_name in actual_qp assert len(actual_qp[request_qp_name]) == 1 assert actual_qp[request_qp_name][0] == request_qp_value def test_write(self, tmp_path: Path) -> None: stac_api_io = StacApiIO() test_file = tmp_path / "test.txt" stac_api_io.write_text_to_href(str(test_file), "Hi there!") with open(test_file) as file: data = file.read() assert data == "Hi there!" @pytest.mark.parametrize( ("attribute", "endpoint"), (("features", "search"), ("collections", "collections")), ) def test_stop_on_empty_page( self, requests_mock: Mocker, attribute: str, endpoint: str ) -> None: url = f"https://pystac-client.test/{endpoint}" requests_mock.get( url, status_code=200, json={ attribute: [{"foo": "bar"}], "links": [ { "rel": "next", "href": url + "?token=baz", } ], }, ) requests_mock.get( url + "?token=baz", status_code=200, json={ attribute: [], "links": [ { "rel": "next", "href": url + "?token=bam", } ], }, ) requests_mock.get( url + "?token=bam", status_code=500, ) stac_api_io = StacApiIO() pages = list(stac_api_io.get_pages(url)) assert len(pages) == 1 assert pages[0][attribute][0]["foo"] == "bar" @pytest.mark.parametrize( ("attribute", "endpoint"), (("features", "search"), ("collections", "collections")), ) def test_stop_on_attributeless_page( self, requests_mock: Mocker, attribute: str, endpoint: str ) -> None: url = f"https://pystac-client.test/{endpoint}" requests_mock.get( url, status_code=200, json={ attribute: [{"foo": "bar"}], "links": [ { "rel": "next", "href": url + "?token=baz", } ], }, ) requests_mock.get( url + "?token=baz", status_code=200, json={ "links": [ { "rel": "next", "href": url + "?token=bam", } ], }, ) requests_mock.get( url + "?token=bam", status_code=500, ) stac_api_io = StacApiIO() pages = list(stac_api_io.get_pages(url)) assert len(pages) == 1 assert pages[0][attribute][0]["foo"] == "bar" @pytest.mark.parametrize( ("attribute", "endpoint"), (("features", "search"), ("collections", "collections")), ) def test_stop_on_first_empty_page( self, requests_mock: Mocker, attribute: str, endpoint: str ) -> None: url = f"https://pystac-client.test/{endpoint}" requests_mock.get( url, status_code=200, json={ attribute: [], "links": [ { "rel": "next", "href": url + "?token=bam", } ], }, ) requests_mock.get(url + "?token=bam", status_code=500) stac_api_io = StacApiIO() pages = list(stac_api_io.get_pages(url)) assert len(pages) == 0 @pytest.mark.vcr def test_timeout_smoke_test(self) -> None: # Testing timeout behavior is hard, so we just have a simple smoke test to make # sure that providing a timeout doesn't break anything. stac_api_io = StacApiIO(timeout=42) response = stac_api_io.read_text(STAC_URLS["PLANETARY-COMPUTER"]) assert isinstance(response, str) @pytest.mark.parametrize("name", ("REQUESTS_CA_BUNDLE", "CURL_CA_BUNDLE")) def test_respect_env_for_certs(self, monkeypatch: MonkeyPatch, name: str) -> None: monkeypatch.setenv(name, "/not/a/real/file") stac_api_io = StacApiIO() with pytest.raises(APIError): stac_api_io.request("https://earth-search.aws.element84.com/v1/") @pytest.mark.vcr def test_stac_io_in_pystac() -> None: # https://github.com/stac-utils/pystac-client/issues/706 collection = pystac.read_file( href="tests/data/planetary-computer-collection.json", stac_io=StacApiIO(timeout=42), ) root = collection.get_root() assert root stac_io = root._stac_io assert isinstance(stac_io, StacApiIO) assert stac_io.timeout == 42