snakemake-snakemake-4c7c76effe4d/000077500000000000000000000000001265064562200167535ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/.gitignore000066400000000000000000000000741265064562200207440ustar00rootroot00000000000000*~ *.pyc build/ dist/ *.egg-info/ *.egg .eggs/ .snakemake* snakemake-snakemake-4c7c76effe4d/LICENSE000066400000000000000000000021061265064562200177570ustar00rootroot00000000000000Copyright (c) 2015 Johannes Köster Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. snakemake-snakemake-4c7c76effe4d/README000066400000000000000000000010541265064562200176330ustar00rootroot00000000000000Snakemake -- a pythonic workflow system Snakemake is a workflow management system that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern specification language in python style. Snakemake workflows are essentially Python scripts extended by declarative code to define rules. Rules describe how to create output files from input files. Homepage: http://snakemake.bitbucket.org Copyright (c) 2015 Johannes Köster (see LICENSE) snakemake-snakemake-4c7c76effe4d/bin/000077500000000000000000000000001265064562200175235ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/bin/snakemake000077500000000000000000000007561265064562200214200ustar00rootroot00000000000000#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import sys __author__ = "Johannes Köster" # If running from within source directory, # add '../snakemake' to sys.path. _libdir = os.path.join(os.path.dirname(os.path.realpath(__file__)), '../') if os.path.isfile(os.path.join(_libdir, 'snakemake', '__init__.py')): sys.path.insert(0, _libdir) from snakemake import main if __name__ == "__main__": #import cProfile #cProfile.run('main()', "snakemake.profile") main() snakemake-snakemake-4c7c76effe4d/docs/000077500000000000000000000000001265064562200177035ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/docs/Makefile000066400000000000000000000151661265064562200213540ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # User-friendly check for sphinx-build ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) $(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/) endif # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . # the i18n builder cannot share the environment and doctrees with the others I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext help: @echo "Please use \`make ' where is one of" @echo " html to make standalone HTML files" @echo " dirhtml to make HTML files named index.html in directories" @echo " singlehtml to make a single large HTML file" @echo " pickle to make pickle files" @echo " json to make JSON files" @echo " htmlhelp to make HTML files and a HTML help project" @echo " qthelp to make HTML files and a qthelp project" @echo " devhelp to make HTML files and a Devhelp project" @echo " epub to make an epub" @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " latexpdf to make LaTeX files and run them through pdflatex" @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" @echo " text to make text files" @echo " man to make manual pages" @echo " texinfo to make Texinfo files" @echo " info to make Texinfo files and run them through makeinfo" @echo " gettext to make PO message catalogs" @echo " changes to make an overview of all changed/added/deprecated items" @echo " xml to make Docutils-native XML files" @echo " pseudoxml to make pseudoxml-XML files for display purposes" @echo " linkcheck to check all external links for integrity" @echo " doctest to run all doctests embedded in the documentation (if enabled)" clean: rm -rf $(BUILDDIR)/* html: $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." dirhtml: $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." singlehtml: $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml @echo @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." pickle: $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle @echo @echo "Build finished; now you can process the pickle files." json: $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json @echo @echo "Build finished; now you can process the JSON files." htmlhelp: $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp @echo @echo "Build finished; now you can run HTML Help Workshop with the" \ ".hhp project file in $(BUILDDIR)/htmlhelp." qthelp: $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp @echo @echo "Build finished; now you can run "qcollectiongenerator" with the" \ ".qhcp project file in $(BUILDDIR)/qthelp, like this:" @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Snakemake.qhcp" @echo "To view the help file:" @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Snakemake.qhc" devhelp: $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp @echo @echo "Build finished." @echo "To view the help file:" @echo "# mkdir -p $$HOME/.local/share/devhelp/Snakemake" @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/Snakemake" @echo "# devhelp" epub: $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub @echo @echo "Build finished. The epub file is in $(BUILDDIR)/epub." latex: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." @echo "Run \`make' in that directory to run these through (pdf)latex" \ "(use \`make latexpdf' here to do that automatically)." latexpdf: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through pdflatex..." $(MAKE) -C $(BUILDDIR)/latex all-pdf @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." latexpdfja: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through platex and dvipdfmx..." $(MAKE) -C $(BUILDDIR)/latex all-pdf-ja @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." text: $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text @echo @echo "Build finished. The text files are in $(BUILDDIR)/text." man: $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man @echo @echo "Build finished. The manual pages are in $(BUILDDIR)/man." texinfo: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." @echo "Run \`make' in that directory to run these through makeinfo" \ "(use \`make info' here to do that automatically)." info: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo "Running Texinfo files through makeinfo..." make -C $(BUILDDIR)/texinfo info @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." gettext: $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale @echo @echo "Build finished. The message catalogs are in $(BUILDDIR)/locale." changes: $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes @echo @echo "The overview file is in $(BUILDDIR)/changes." linkcheck: $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck @echo @echo "Link check complete; look for any errors in the above output " \ "or in $(BUILDDIR)/linkcheck/output.txt." doctest: $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest @echo "Testing of doctests in the sources finished, look at the " \ "results in $(BUILDDIR)/doctest/output.txt." xml: $(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml @echo @echo "Build finished. The XML files are in $(BUILDDIR)/xml." pseudoxml: $(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml @echo @echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml." snakemake-snakemake-4c7c76effe4d/docs/api.rst000066400000000000000000000001131265064562200212010ustar00rootroot00000000000000The Snakemake API ================= .. autofunction:: snakemake.snakemake snakemake-snakemake-4c7c76effe4d/docs/conf.py000066400000000000000000000204031265064562200212010ustar00rootroot00000000000000#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Snakemake documentation build configuration file, created by # sphinx-quickstart on Sat Feb 1 16:01:02 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os import sphinx_bootstrap_theme # 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, os.path.abspath('../')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.mathjax', 'sphinx.ext.viewcode', 'sphinxcontrib.napoleon' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = 'Snakemake' copyright = '2014, Johannes Koester' import snakemake # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = snakemake.__version__ # The full version, including alpha/beta/rc tags. release = snakemake.__version__ # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ['_build'] # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'bootstrap' # 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 = {'bootswatch_theme': "spacelab"} # Add any paths that contain custom themes here, relative to this directory. html_theme_path = sphinx_bootstrap_theme.get_html_theme_path() # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. #html_extra_path = [] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'Snakemakedoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ ('index', 'Snakemake.tex', 'Snakemake Documentation', 'Johannes Koester', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'snakemake', 'Snakemake Documentation', ['Johannes Koester'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'Snakemake', 'Snakemake Documentation', 'Johannes Koester', 'Snakemake', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False snakemake-snakemake-4c7c76effe4d/docs/index.rst000066400000000000000000000017661265064562200215560ustar00rootroot00000000000000.. Snakemake documentation master file, created by sphinx-quickstart on Sat Feb 1 16:01:02 2014. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to Snakemake's API documentation! ========================================= Build systems like GNU Make are frequently used to create complicated workflows, e.g. in bioinformatics. This project aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern domain specific specification language (DSL) in python style. Apart from being a command line tool, Snakemake can also be called from withing other python code and hence serve as a framework for organizing workflows withing your software. These pages describe the public parts of the Snakemake api. For the user documentation and general information, see http://snakemake.bitbucket.org. Contents: .. toctree:: :maxdepth: 2 api utils snakemake-snakemake-4c7c76effe4d/docs/requirements.txt000066400000000000000000000000561265064562200231700ustar00rootroot00000000000000sphinxcontrib-napoleon sphinx_bootstrap_theme snakemake-snakemake-4c7c76effe4d/docs/utils.rst000066400000000000000000000001211265064562200215670ustar00rootroot00000000000000Additional utils ================ .. automodule:: snakemake.utils :members: snakemake-snakemake-4c7c76effe4d/examples/000077500000000000000000000000001265064562200205715ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/c/000077500000000000000000000000001265064562200210135ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/c/README.txt000066400000000000000000000000751265064562200225130ustar00rootroot00000000000000http://www.cs.colby.edu/maxwell/courses/tutorials/maketutor/ snakemake-snakemake-4c7c76effe4d/examples/c/include/000077500000000000000000000000001265064562200224365ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/c/include/hello.h000066400000000000000000000000351265064562200237100ustar00rootroot00000000000000void myPrintHelloMake(void); snakemake-snakemake-4c7c76effe4d/examples/c/src/000077500000000000000000000000001265064562200216025ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/c/src/Makefile000066400000000000000000000007451265064562200232500ustar00rootroot00000000000000 IDIR=../include ODIR=obj LDIR=../lib LIBS=-lm CC=gcc CFLAGS=-I$(IDIR) _HEADERS = hello.h HEADERS = $(patsubst %,$(IDIR)/%,$(_HEADERS)) _OBJS = hello.o hellofunc.o OBJS = $(patsubst %,$(ODIR)/%,$(_OBJS)) # build the executable from the object files hello: $(OBJS) $(CC) -o $@ $^ $(CFLAGS) # compile a single .c file to an .o file $(ODIR)/%.o: %.c $(HEADERS) $(CC) -c -o $@ $< $(CFLAGS) # clean up temporary files .PHONY: clean clean: rm -f $(ODIR)/*.o *~ core $(IDIR)/*~ snakemake-snakemake-4c7c76effe4d/examples/c/src/Snakefile000066400000000000000000000013731265064562200234320ustar00rootroot00000000000000from os.path import join IDIR = '../include' ODIR = 'obj' LDIR = '../lib' LIBS = '-lm' CC = 'gcc' CFLAGS = '-I' + IDIR _HEADERS = ['hello.h'] HEADERS = [join(IDIR, hfile) for hfile in _HEADERS] _OBJS = ['hello.o', 'hellofunc.o'] OBJS = [join(ODIR, ofile) for ofile in _OBJS] rule hello: """build the executable from the object files""" output: 'hello' input: OBJS shell: "{CC} -o {output} {input} {CFLAGS} {LIBS}" rule c_to_o: """compile a single .c file to an .o file""" output: temp('{ODIR}/{name}.o') input: '{name}.c', HEADERS shell: "{CC} -c -o {output} {input} {CFLAGS}" rule clean: """clean up temporary files""" shell: "rm -f *~ core {IDIR}/*~" snakemake-snakemake-4c7c76effe4d/examples/c/src/dag.png000066400000000000000000000177331265064562200230560ustar00rootroot00000000000000PNG  IHDREDFbKGDIDATxyt[Wd˫ɎE@v~d@)8!CJ8L !iPʤ9sSBӁ:!츶5,"[uʶ{%=s|tu>}}ޠDNk]UB4#ȟ㠜?H\w5~kS:_ֆY-҄**nqB3%OJv-tj3mn]f3y~ 4t,^ ^ir2d35%n Ξ8:;1R_kS߹Q"{2rbȟ9p ە+TWmKZnތ fCmhկ/_꒒/Dq1pl׮د^EO8[HRh/8y$?fix'6cxQSS3g̙33<si+ -[xG&s`!?oxT~ATE !lnٳV_B\=VZ+w^,\(//5\'x"VH>rC("oFD/h?x{7+VDB.kWDVee'(|?D]FT!lK?B87:KH?t"=Ab qN/\7BBbƍǛ!He˖Chp~cpNM6!c#vQ oъ֭Æ Ѐp X~-n7L&^}U`ҥhmm6Q__Rl߾=,7oS|"S7m۶zj}'{LcO>m388j߶e1*++YFF`j=pKOOg)))f6-É\ I'1<ȟ1O ǎ]w5nwߍcǎMh^ 666GSO!TM EIoъx7m7~iۿذaÔpB[x衇`e 777GDo@DSOa͚5HLL y>|m, %77k֬oxI]L#W__o۶- [!O> #Gرc(**;{JϟG^^^۱c~o ׯGii)/^B<BL Fp0rR]>KH(W\7(WD? o?ZYv-}Y DH}#&sM (NBVVz9'V߈I ţ>Pb! 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I$U++҄bx}k>^z$I&$IB@Yx{Uqݕ4~/#i|0`h~sKYn:I$i-I$:Q(`h^w}vi+.p7t4ƺ$I'I$I }UAk)0=~{D#pǣ`  *s;$IV?I$#"Dk`? image/svg+xml Produce the files you want to have from some intermediateresult Tell Snakemake what filesyou want to be created rule: input: "A.txt", "B.txt", "C.txt" rule: input: "{sample}.inter" output: "{sample}.txt" shell: "somecommand {input} {output}" rule: input: "{sample}.in" output: "{sample}.inter" run: somepythoncode() Create a needed intermediate result Use wildcards to writegeneral rules for all samples Snakemake determinesthe dependenciesfor you snakemake-snakemake-4c7c76effe4d/examples/latex/000077500000000000000000000000001265064562200217065ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/latex/Snakefile000066400000000000000000000006121265064562200235310ustar00rootroot00000000000000DOCUMENTS = ['document', 'response-to-editor'] TEXS = [doc+".tex" for doc in DOCUMENTS] PDFS = [doc+".pdf" for doc in DOCUMENTS] FIGURES = ['fig1.pdf'] include: 'tex.rules' rule all: input: PDFS rule zipit: output: 'upload.zip' input: TEXS, FIGURES, PDFS shell: 'zip -T {output} {input}' rule pdfclean: shell: "rm -f {PDFS}" snakemake-snakemake-4c7c76effe4d/examples/latex/dag.png000066400000000000000000000224671265064562200231620ustar00rootroot00000000000000PNG  IHDRs{bKGD IDATxyt[ս/`YȲَؙ<$2)-ah1d( p)$+#ҮPhz&Ȣ-By-7*!yBI ! d۱!YdI5c˖%ٖu$Ykiw~:gc B™V$tBf9!DJ$3m@7h)݃hduls校H"qIDPHEȈBQJEf|СMvε0C7h`92 2Pt3jA؋A!Թka,V$%FP| ڰ'Z MBTx*$Lk[;dnཊnk7=.qP+H"^&DM' lF+L )`i2BoOls@]>w\X)Tr)ddm =CQϠ(1;"%d)O-ЏTt>A8,UrP3Յ0e9P9#zw_fbɸ`qߌ_B7C vFt ݠ ߴym xR\y2/ o‘f=XIJ ZFzo;])7.WC,𯳯Z xL#{ ,M5q}pJWK6|++iw2w0`׉6i3*K恣OYc?XùsPYY:{Q__J9s?}~|V͛7`pM/Яm~)= Nn 6l{P]]3g̙3?5X޶L^;\*BZћ}zzW2AP-)o̐+OaK}ul1&pBvE~GGq˶nrssYGGǶϝ;233ݖW]]߿p=_UUx=9p{cm߾%''7|1<8=Om`}r9?//oBcg6>c_mok/}u.M}zv::6l2O?vqzBL G^D 1r9'^m6ܹcGa/!GGGOx~:|c>]1ƲhО1O].kD{`_[nJ'N%xG08''g̈́q 4Vfc vo6>޽ n߻w/֭[w;& _1bcc}A.ofÁbt>2mWx# Ĥ2k9>{JNNf555nlʕfVYYd38x [ld1K/ 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xCS#QTTJKKP(b82⋧DN_#T*EYY✗rDyy9fɘf<..eeexC>044r  oxxr^7>>%%%HJ5%'HP\\'Iol||<))snDž O\4_YX& yaҥ|!5BD@ WTR `@k \T8&d*(!"K.BJFQ6HRaҥTL9uY$ON!o``d$2{ xb6 8700*̂ZŋqpG|8-BJJ ф:@J|"OII… )d>q"'pdϭejj*(d>ǹzFFl.\@ =zzzp!IQ2'^UUN'pTOӹ])33GE"%s+((@vv6kjj(@ww7jjj://;;GE"%s&77999FzggQN<''GE"%s2󑗗!pTᣣuuu|" D233 mڴZ-?C8pdeeQ'9 ,V˟`#v8}8Z-`n2 WbH D 7.A$!##:DB86["f_' eIxdN1XY ͡\Tҟz  () H.G'Dslᇰ () ȉ5w=Ij$}7޽GD2JoV#GQP~ OyJO = 3XIDAT'dNf8~)NpaZ 18;<0ksrvP}=:^{9VqP? >2eŋv-Y,hݹf & f׭|""sǨ^(F9aV8e+tz+ԏ<"pT@KɜL?pw݅ĻH&6sݿi⮻6e(b Cs%*׮Euׅ8ɓ_au>qH~$t I`ΞE[o&<D]=bR{f6 VUpĄuJyQ(/0JB&dN1<>@ߡC`6'@jh!dՀB@gBHD !9p8IENDB`snakemake-snakemake-4c7c76effe4d/examples/latex/document.tex000066400000000000000000000000001265064562200242340ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/latex/fig1.pdf000066400000000000000000000000001265064562200232150ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/latex/response-to-editor.tex000066400000000000000000000000001265064562200261600ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/latex/tex.rules000066400000000000000000000011371265064562200235640ustar00rootroot00000000000000ruleorder: tex2pdf_with_bib > tex2pdf_without_bib rule tex2pdf_with_bib: input: '{name}.tex', '{name}.bib' output: '{name}.pdf' shell: """ pdflatex {wildcards.name} bibtex {wildcards.name} pdflatex {wildcards.name} pdflatex {wildcards.name} """ rule tex2pdf_without_bib: input: '{name}.tex' output: '{name}.pdf' shell: """ pdflatex {wildcards.name} pdflatex {wildcards.name} """ rule texclean: shell: "rm -f *.log *.aux *.bbl *.blg *.synctex.gz" snakemake-snakemake-4c7c76effe4d/examples/mirna/000077500000000000000000000000001265064562200216775ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/examples/mirna/dag.dot000066400000000000000000000227361265064562200231540ustar00rootroot00000000000000digraph snakemake_dag { 35[label = "do_readlengths_of_one_file"]; 34 -> 35; 103[label = "count_mirbase_mappable"]; 102 -> 103; 143[label = "count_mirna_expression_of_one_dataset"]; 142 -> 143; 141 -> 143; 42[label = "do_readlengths_pdfs"]; 41 -> 42; 164[label = "annotate"]; 147 -> 164; 90 -> 164; 2[label = "compute_readcounts\nds: 554"]; 10[label = "run_cutadapt\nds: 552"]; 34[label = "run_cutadapt\nds: 560"]; 153[label = "rna_type"]; 152 -> 153; 11[label = "do_readlengths_of_one_file"]; 10 -> 11; 138[label = "sort_a_bam_file"]; 110 -> 138; 38[label = "do_readlengths_of_one_file"]; 37 -> 38; 56[label = "do_readlengths_of_one_file"]; 55 -> 56; 36[label = "do_readlengths_pdfs"]; 35 -> 36; 137[label = "count_mirna_expression_of_one_dataset"]; 135 -> 137; 136 -> 137; 13[label = "run_cutadapt\nds: 553"]; 37[label = "run_cutadapt\nds: 561"]; 41[label = "do_readlengths_of_one_file"]; 40 -> 41; 109[label = "count_mirbase_mappable"]; 108 -> 109; 132[label = "sort_a_bam_file"]; 106 -> 132; 165[label = "rna_type"]; 164 -> 165; 18[label = "do_readlengths_pdfs"]; 17 -> 18; 40[label = "do_shortreads\nds: 552"]; 16[label = "run_cutadapt\nds: 554"]; 84[label = "map_ds_against_hg"]; 16 -> 84; 81 -> 84; 151[label = "rna_type"]; 150 -> 151; 155[label = "rna_type"]; 154 -> 155; 51[label = "do_readlengths_pdfs"]; 50 -> 51; 166[label = "annotate"]; 91 -> 166; 147 -> 166; 20[label = "do_readlengths_of_one_file"]; 19 -> 20; 43[label = "do_shortreads\nds: 553"]; 64[label = "do_shortreads\nds: 560"]; 0[label = "compute_readcounts\nds: 552"]; 139[label = "index_a_bam_file"]; 138 -> 139; 5[label = "compute_readcounts\nds: 557"]; 19[label = "run_cutadapt\nds: 555"]; 54[label = "do_readlengths_pdfs"]; 53 -> 54; 21[label = "do_readlengths_pdfs"]; 20 -> 21; 152[label = "annotate"]; 84 -> 152; 147 -> 152; 47[label = "do_readlengths_of_one_file"]; 46 -> 47; 46[label = "do_shortreads\nds: 554"]; 23[label = "do_readlengths_of_one_file"]; 22 -> 23; 150[label = "annotate"]; 147 -> 150; 83 -> 150; 24[label = "do_readlengths_pdfs"]; 23 -> 24; 57[label = "do_readlengths_pdfs"]; 56 -> 57; 118[label = "index_a_bam_file"]; 117 -> 118; 22[label = "run_cutadapt\nds: 556"]; 49[label = "do_shortreads\nds: 555"]; 140[label = "count_mirna_expression_of_one_dataset"]; 138 -> 140; 139 -> 140; 170[label = "all"]; 57 -> 170; 101 -> 170; 54 -> 170; 21 -> 170; 24 -> 170; 85 -> 170; 103 -> 170; 2 -> 170; 27 -> 170; 144 -> 170; 63 -> 170; 78 -> 170; 82 -> 170; 105 -> 170; 3 -> 170; 86 -> 170; 6 -> 170; 0 -> 170; 107 -> 170; 97 -> 170; 80 -> 170; 36 -> 170; 12 -> 170; 39 -> 170; 8 -> 170; 109 -> 170; 88 -> 170; 18 -> 170; 71 -> 170; 83 -> 170; 5 -> 170; 4 -> 170; 89 -> 170; 60 -> 170; 48 -> 170; 145 -> 170; 113 -> 170; 90 -> 170; 42 -> 170; 169 -> 170; 73 -> 170; 7 -> 170; 84 -> 170; 91 -> 170; 30 -> 170; 51 -> 170; 1 -> 170; 146 -> 170; 87 -> 170; 9 -> 170; 95 -> 170; 33 -> 170; 69 -> 170; 111 -> 170; 99 -> 170; 45 -> 170; 15 -> 170; 66 -> 170; 55[label = "do_shortreads\nds: 557"]; 26[label = "do_readlengths_of_one_file"]; 25 -> 26; 60[label = "do_readlengths_pdfs"]; 59 -> 60; 93[label = "build_bwa_index"]; 92 -> 93; 27[label = "do_readlengths_pdfs"]; 26 -> 27; 52[label = "do_shortreads\nds: 556"]; 135[label = "sort_a_bam_file"]; 108 -> 135; 4[label = "compute_readcounts\nds: 556"]; 59[label = "do_readlengths_of_one_file"]; 58 -> 59; 63[label = "do_readlengths_pdfs"]; 62 -> 63; 154[label = "annotate"]; 147 -> 154; 85 -> 154; 29[label = "do_readlengths_of_one_file"]; 28 -> 29; 6[label = "compute_readcounts\nds: 558"]; 14[label = "do_readlengths_of_one_file"]; 13 -> 14; 3[label = "compute_readcounts\nds: 555"]; 114[label = "sort_a_bam_file"]; 94 -> 114; 73[label = "do_readlengths_pdfs"]; 72 -> 73; 7[label = "compute_readcounts\nds: 559"]; 120[label = "sort_a_bam_file"]; 98 -> 120; 142[label = "index_a_bam_file"]; 141 -> 142; 58[label = "do_shortreads\nds: 558"]; 158[label = "annotate"]; 87 -> 158; 147 -> 158; 62[label = "do_readlengths_of_one_file"]; 61 -> 62; 9[label = "compute_readcounts\nds: 561"]; 28[label = "run_cutadapt\nds: 558"]; 157[label = "rna_type"]; 156 -> 157; 12[label = "do_readlengths_pdfs"]; 11 -> 12; 31[label = "run_cutadapt\nds: 559"]; 61[label = "do_shortreads\nds: 559"]; 168[label = "rnatypes"]; 165 -> 168; 151 -> 168; 149 -> 168; 153 -> 168; 161 -> 168; 163 -> 168; 159 -> 168; 157 -> 168; 155 -> 168; 167 -> 168; 65[label = "do_readlengths_of_one_file"]; 64 -> 65; 136[label = "index_a_bam_file"]; 135 -> 136; 126[label = "sort_a_bam_file"]; 102 -> 126; 50[label = "do_readlengths_of_one_file"]; 49 -> 50; 122[label = "count_mirna_expression_of_one_dataset"]; 121 -> 122; 120 -> 122; 147[label = "hgtrack"]; 39[label = "do_readlengths_pdfs"]; 38 -> 39; 144[label = "normalize_expressions"]; 128 -> 144; 116 -> 144; 122 -> 144; 119 -> 144; 137 -> 144; 131 -> 144; 125 -> 144; 143 -> 144; 140 -> 144; 134 -> 144; 113[label = "count_mirbase_mappable"]; 112 -> 113; 68[label = "do_readlengths_of_one_file"]; 67 -> 68; 45[label = "do_readlengths_pdfs"]; 44 -> 45; 82[label = "map_ds_against_hg"]; 10 -> 82; 81 -> 82; 86[label = "map_ds_against_hg"]; 22 -> 86; 81 -> 86; 117[label = "sort_a_bam_file"]; 96 -> 117; 159[label = "rna_type"]; 158 -> 159; 67[label = "do_shortreads\nds: 561"]; 8[label = "compute_readcounts\nds: 560"]; 88[label = "map_ds_against_hg"]; 28 -> 88; 81 -> 88; 99[label = "count_mirbase_mappable"]; 98 -> 99; 71[label = "do_readlengths_pdfs"]; 70 -> 71; 161[label = "rna_type"]; 160 -> 161; 25[label = "run_cutadapt\nds: 557"]; 89[label = "map_ds_against_hg"]; 31 -> 89; 81 -> 89; 32[label = "do_readlengths_of_one_file"]; 31 -> 32; 124[label = "index_a_bam_file"]; 123 -> 124; 90[label = "map_ds_against_hg"]; 34 -> 90; 81 -> 90; 141[label = "sort_a_bam_file"]; 112 -> 141; 131[label = "count_mirna_expression_of_one_dataset"]; 129 -> 131; 130 -> 131; 160[label = "annotate"]; 147 -> 160; 88 -> 160; 91[label = "map_ds_against_hg"]; 37 -> 91; 81 -> 91; 95[label = "count_mirbase_mappable"]; 94 -> 95; 97[label = "count_mirbase_mappable"]; 96 -> 97; 87[label = "map_ds_against_hg"]; 25 -> 87; 81 -> 87; 70[label = "do_readlengths_summary"]; 23 -> 70; 11 -> 70; 17 -> 70; 26 -> 70; 29 -> 70; 32 -> 70; 14 -> 70; 35 -> 70; 20 -> 70; 38 -> 70; 133[label = "index_a_bam_file"]; 132 -> 133; 149[label = "rna_type"]; 148 -> 149; 94[label = "map_ds_against_mirbase"]; 93 -> 94; 40 -> 94; 92 -> 94; 92[label = "compute_mirnas_with_context"]; 116[label = "count_mirna_expression_of_one_dataset"]; 114 -> 116; 115 -> 116; 125[label = "count_mirna_expression_of_one_dataset"]; 123 -> 125; 124 -> 125; 33[label = "do_readlengths_pdfs"]; 32 -> 33; 96[label = "map_ds_against_mirbase"]; 93 -> 96; 43 -> 96; 92 -> 96; 78[label = "do_readlengths_pdfs"]; 77 -> 78; 101[label = "count_mirbase_mappable"]; 100 -> 101; 17[label = "do_readlengths_of_one_file"]; 16 -> 17; 98[label = "map_ds_against_mirbase"]; 93 -> 98; 46 -> 98; 92 -> 98; 146[label = "correlate_seq_with_rtpcr"]; 144 -> 146; 119[label = "count_mirna_expression_of_one_dataset"]; 117 -> 119; 118 -> 119; 69[label = "do_readlengths_pdfs"]; 68 -> 69; 72[label = "do_readlengths_summary"]; 50 -> 72; 41 -> 72; 56 -> 72; 53 -> 72; 47 -> 72; 44 -> 72; 68 -> 72; 59 -> 72; 65 -> 72; 62 -> 72; 100[label = "map_ds_against_mirbase"]; 93 -> 100; 49 -> 100; 92 -> 100; 162[label = "annotate"]; 89 -> 162; 147 -> 162; 53[label = "do_readlengths_of_one_file"]; 52 -> 53; 105[label = "count_mirbase_mappable"]; 104 -> 105; 167[label = "rna_type"]; 166 -> 167; 48[label = "do_readlengths_pdfs"]; 47 -> 48; 102[label = "map_ds_against_mirbase"]; 93 -> 102; 52 -> 102; 92 -> 102; 107[label = "count_mirbase_mappable"]; 106 -> 107; 148[label = "annotate"]; 82 -> 148; 147 -> 148; 111[label = "count_mirbase_mappable"]; 110 -> 111; 169[label = "plot_rnatypes"]; 168 -> 169; 104[label = "map_ds_against_mirbase"]; 93 -> 104; 55 -> 104; 92 -> 104; 80[label = "plot_mirna_distancematrix_histogram"]; 79 -> 80; 127[label = "index_a_bam_file"]; 126 -> 127; 106[label = "map_ds_against_mirbase"]; 93 -> 106; 58 -> 106; 92 -> 106; 134[label = "count_mirna_expression_of_one_dataset"]; 133 -> 134; 132 -> 134; 108[label = "map_ds_against_mirbase"]; 93 -> 108; 61 -> 108; 92 -> 108; 77[label = "compute_mirna_lengths"]; 79[label = "compute_fasta_distancematrix\nprefix: mirbase/mirnas"]; 85[label = "map_ds_against_hg"]; 19 -> 85; 81 -> 85; 163[label = "rna_type"]; 162 -> 163; 110[label = "map_ds_against_mirbase"]; 64 -> 110; 92 -> 110; 93 -> 110; 66[label = "do_readlengths_pdfs"]; 65 -> 66; 129[label = "sort_a_bam_file"]; 104 -> 129; 121[label = "index_a_bam_file"]; 120 -> 121; 30[label = "do_readlengths_pdfs"]; 29 -> 30; 112[label = "map_ds_against_mirbase"]; 67 -> 112; 92 -> 112; 93 -> 112; 1[label = "compute_readcounts\nds: 553"]; 128[label = "count_mirna_expression_of_one_dataset"]; 126 -> 128; 127 -> 128; 130[label = "index_a_bam_file"]; 129 -> 130; 44[label = "do_readlengths_of_one_file"]; 43 -> 44; 81[label = "build_bwa_index\nprefix: hgref/hg1kv37.fasta.gz"]; 15[label = "do_readlengths_pdfs"]; 14 -> 15; 145[label = "differential_expressions"]; 144 -> 145; 156[label = "annotate"]; 147 -> 156; 86 -> 156; 83[label = "map_ds_against_hg"]; 13 -> 83; 81 -> 83; 123[label = "sort_a_bam_file"]; 100 -> 123; 115[label = "index_a_bam_file"]; 114 -> 115; } snakemake-snakemake-4c7c76effe4d/examples/mirna/dag.png000066400000000000000000110377131265064562200231550ustar00rootroot00000000000000PNG  IHDRb NbKGD IDATxy|T3Y&df2L&;* ,BRB[z mj[{jmjֽEJQj `Y$HL&d{s܄M,=3dgT`P/#L?|i|iJz{η_zdaaaqqqXjX="K!\xģ.+ J)IRgggKK$I`rުC> n;t|755.$Tϧ@ p8cbbӸn!fV)rK=cbb϶`0T^7@U D677Kx|>\9+rWl'!hmm*`0ȧj:66V>Uhұ&**J> FDDt>uCfpCu ^yZgӭuymhλvIh[I% .kţtK&ox(<<\_DmAd/_loookk^$X5EzXEpS;N+)rw !]9):EXSN=hC`9|!%z18f9,W1,B=ˋE(_)'H<-3}G@|KEFF(F# CDD^?5bh4$=E @ .nean<8yG,و*rbXdE8R4 Gk>"/~ZOJ\ŏzGNX,rHďt:c?qqqF XFz4b@f3\."$B"r:;;E8tΩ"Vv~9BљXD 0UӉ> D{T"(x^()g񋨩I݂do!Kr?n[!t:H*u:F5 b2..NՊ^7OKzAd!`*E>OwttFũ {XdX233@҈)΍ 2qs!FZ]]m۫l6[uujZ\i4rrrrJJJZZZZZlVv > 2l22qzallFcttRPJ}}fNlbMtttZt1HMMR~D@v2zzULL̐!C*B8FZ.!:::$IRT匌ԴC*]>DpٵvX|&>cX(;3fłXqrhF999922R 2z&5noo`0ǟ-d,GzEkkkyyyUUUruu$)"""555!C(];"ׇmhhO娱 *66VNǟ-d9666+++++kԨQGcNt0DQSScZ]l6[S)WT.IIIiLLrN>-BǏ/))x<$ Çcǎ7nѣccc.+e\[[[[[[__p8v{]]]]]6>O^jEboqBB|:tPd4|SN}N*))9uTUUU0TÇ5j>yԨQ J Ad"y^&l"^3s&j&Idf6  j0!c"fY+=uTq/1"''gĉ999999J  24ml6[ϖS 7L&)))I1Qc4>>^ٽvXGGǐ!C&X,J `p! 0|ZjۭV-ju8>Oh4ɉIIIhXDbFe78#W\\g}CsA2 p%/ZNS BbYxxxzz,bV|'OrŒeڴiJ `! 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Additionally you can of course include inline tables: ========= ====== ===== Merged header ---------------------- Parameter Value Other ========= ====== ===== kmer 3 foo iteration 4 bar ========= ====== ===== test """, output[0], F1=input[0], F2=input[0]) snakemake-snakemake-4c7c76effe4d/examples/report/report.html000066400000000000000000000077571265064562200243250ustar00rootroot00000000000000 Report of some project

Report of some project

Some text containing a formula \(\sum_{j \in E} t_j \leq I\) and embedding a table F1 and a figure F2.

Additionally you can of course include inline tables:

Merged header
Parameter Value Other
kmer 3 foo
iteration 4 bar

test

2013-01-31
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It꤮;,:(sx@2'.Z۾@Zϟ$Ȳ$Ivڲe>ˉBZVoOOύnu_Y`b_eEt!VJ,|֬Y ʲ4`kG*+3.\8}ԩ-[eN@ÉM@Éh8Q ' D4(pN@Éh8Q ' D4(pN@Éh8Q ' 7:XIENDB`snakemake-snakemake-4c7c76effe4d/logo.svg000066400000000000000000000102321265064562200204320ustar00rootroot00000000000000 image/svg+xml snakemake-snakemake-4c7c76effe4d/misc/000077500000000000000000000000001265064562200177065ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/misc/vim/000077500000000000000000000000001265064562200205015ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/misc/vim/README.md000066400000000000000000000011021265064562200217520ustar00rootroot00000000000000A vim syntax highlighting definition for Snakemake. You can copy the `snakemake.vim` file to `$HOME/.vim/syntax` directory and add au BufNewFile,BufRead Snakefile set syntax=snakemake au BufNewFile,BufRead *.rules set syntax=snakemake au BufNewFile,BufRead *.snakefile set syntax=snakemake au BufNewFile,BufRead *.snake set syntax=snakemake to your `$HOME/.vimrc` file. Highlighting can be forced in a vim session with `:set syntax=snakemake`. To install via Vundle use: Plugin 'https://bitbucket.org/johanneskoester/snakemake.git', {'rtp': 'misc/vim/'} snakemake-snakemake-4c7c76effe4d/misc/vim/syntax/000077500000000000000000000000001265064562200220275ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/misc/vim/syntax/snakemake.vim000066400000000000000000000037651265064562200245160ustar00rootroot00000000000000" Vim syntax file " Language: Snakemake (extended from python.vim) " Maintainer: Jay Hesselberth (jay.hesselberth@gmail.com) " Last Change: 2015 Jul 1 " " Usage " " copy to $HOME/.vim/syntax directory and add: " " au BufNewFile,BufRead Snakefile set syntax=snakemake " au BufNewFile,BufRead *.snake set syntax=snakemake " " to your $HOME/.vimrc file " " force coloring in a vim session with: " " :set syntax=snakemake " " load settings from system python.vim (7.4) source $VIMRUNTIME/syntax/python.vim " " Snakemake rules, as of version 3.3 " " XXX N.B. several of the new defs are missing from this table i.e. " subworkflow, touch etc " " rule = "rule" (identifier | "") ":" ruleparams " include = "include:" stringliteral " workdir = "workdir:" stringliteral " ni = NEWLINE INDENT " ruleparams = [ni input] [ni output] [ni params] [ni message] [ni threads] [ni (run | shell)] NEWLINE snakemake " input = "input" ":" parameter_list " output = "output" ":" parameter_list " params = "params" ":" parameter_list " message = "message" ":" stringliteral " threads = "threads" ":" integer " resources = "resources" ":" parameter_list " version = "version" ":" statement " run = "run" ":" ni statement " shell = "shell" ":" stringliteral syn keyword pythonStatement include workdir onsuccess onerror syn keyword pythonStatement ruleorder localrules configfile syn keyword pythonStatement touch protected temp syn keyword pythonStatement input output params message threads resources syn keyword pythonStatement version run shell benchmark snakefile log syn keyword pythonStatement rule subworkflow nextgroup=pythonFunction skipwhite " similar to special def and class treatment from python.vim, except " parenthetical part of def and class syn match pythonFunction \ "\%(\%(rule\s\|subworkflow\s\)\s*\)\@<=\h*" contained syn sync match pythonSync grouphere NONE "^\s*\%(rule\|subworkflow\)\s\+\h\w*\s*" let b:current_syntax = "snakemake" " vim:set sw=2 sts=2 ts=8 noet: snakemake-snakemake-4c7c76effe4d/setup.py000066400000000000000000000042651265064562200204740ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" from setuptools.command.test import test as TestCommand import sys if sys.version_info < (3, 3): print("At least Python 3.3 is required.\n", file=sys.stderr) exit(1) try: from setuptools import setup except ImportError: print("Please install setuptools before installing snakemake.", file=sys.stderr) exit(1) # load version info exec(open("snakemake/version.py").read()) class NoseTestCommand(TestCommand): def run_tests(self): # Run nose ensuring that argv simulates running nosetests directly import nose nose.run_exit(argv=['nosetests']) setup( name='snakemake', version=__version__, author='Johannes Köster', author_email='johannes.koester@tu-dortmund.de', description= 'Snakemake is a workflow management system that aims to reduce the complexity ' 'of creating workflows by providing a fast and comfortable execution environment, ' 'together with a clean and modern specification language in python style. ' 'Snakemake workflows are essentially Python scripts extended by declarative ' 'code to define rules. Rules describe how to create output files from input files.', zip_safe=False, license='MIT', url='http://snakemake.bitbucket.org', packages=['snakemake', 'snakemake.remote'], entry_points={ "console_scripts": ["snakemake = snakemake:main", "snakemake-bash-completion = snakemake:bash_completion"] }, package_data={'': ['*.css', '*.sh', '*.html']}, tests_require=['rpy2', 'docutils', 'nose>=1.3', 'boto>=2.38.0', 'filechunkio>=1.6', 'moto>=0.4.14', 'ftputil>=3.2', 'pysftp>=0.2.8', 'requests>=2.8.1', 'dropbox>=3.38'], cmdclass={'test': NoseTestCommand}, classifiers= ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Bio-Informatics"]) snakemake-snakemake-4c7c76effe4d/snakemake-tutorial.html000066400000000000000000012406121265064562200234470ustar00rootroot00000000000000 Snakemake Tutorial

Snakemake Tutorial

This tutorial introduces the text-based workflow system Snakemake. Snakemake follows the GNU Make paradigm: workflows are defined in terms of rules that define how to create output files from input files. Dependencies between the rules are determined automatically, creating a DAG (directed acyclic graph) of jobs that can be automatically parallelized.

Snakemake sets itself apart from existing text-based workflow systems in the following way. Hooking into the Python interpreter, Snakemake offers a definition language that is an extension of Python with syntax to define rules and workflow specific properties. This allows to combine the flexibility of a plain scripting language with a pythonic workflow definition. The Python language is known to be concise yet readable and can appear almost like pseudo-code. The syntactic extensions provided by Snakemake maintain this property for the definition of the workflow. Further, Snakemakes scheduling algorithm can be constrained by priorities, provided cores and customizable resources and it provides a generic support for distributed computing (e.g., cluster or batch systems). Hence, a Snakemake workflow scales without modification from single core workstations and multi-core servers to cluster or batch systems.

While the examples presented here come from Bioinformatics, Snakemake is considered a general-purpose workflow management system for any discipline.

Note: To get the most up-to-date version of this tutorial and further information on Snakemake, please visit the Snakemake homepage. Also have a look at the corresponding slides.

Setup

To go through this tutorial, you need the following software installed:

The easiest way to setup these prerequisites is to use the Miniconda Python 3 distribution. The tutorial assumes that you are using either Linux or MacOS X. Both Snakemake and Miniconda work also under Windows, but the Windows shell is too different to be able to provide generic examples.

Setup a Linux VM with Vagrant under Windows

If you already use Linux or MacOS X, go on with Step 1. If you use Windows, you can setup a Linux virtual machine (VM) with Vagrant. First, install Vagrant following the installation instructions in the Vagrant Documentation. Then, create a reasonable new directory you want to share with your Linux VM, e.g., create a folder vagrant-linux somewhere. Open a command line prompt, and change into that directory. Here, you create a 64-bit Ubuntu Linux environment with

vagrant init hashicorp/precise64
vagrant up

If you decide to use a 32-bit image, you will need to download the 32-bit version of Miniconda in the next step. The contents of the vagrant-linux folder will be shared with the virtual machine that is set up by vagrant. You can log into the virtual machine via

vagrant ssh

If this command tells you to install an SSH client, you can follow the instructions in this Blogpost. Now, you can follow the steps of our tutorial from within your Linux VM.

Step 1: Installing Miniconda 3

First, please open a terminal or make sure you are logged into your Vagrant Linux VM. Assuming that you have a 64-bit system, on Linux, download and install Miniconda 3 with

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh

On MacOS X, download and install with

wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh

For a 32-bit system, URLs and file names are analogous but without the _64. When you are asked the question

Do you wish the installer to prepend the Miniconda3 install location to PATH ...? [yes|no]

answer with yes. Along with a minimal Python 3 environment, Miniconda contains the package manager Conda. After opening a new terminal, you can use the new conda command to install software packages and create isolated environments to, e.g., use different versions of the same package. We will later use Conda to create an isolated enviroment with all required software for this tutorial.

Step 2: Preparing a working directory

First, create a new directory snakemake-tutorial at a reasonable place and change into that directory in your terminal. If you use a Vagrant Linux VM from Windows as described above, create the directory under /vagrant/, so that the contents are shared with your host system (you can then edit all files from within Windows with an editor that supports Unix line breaks). In this directory, we will later create an example workflow that illustrates the Snakemake syntax and execution environment. First, we download some example data on which the workflow shall be executed:

wget https://bitbucket.org/johanneskoester/snakemake/downloads/snakemake-tutorial-data.tar.gz
tar -xf snakemake-tutorial-data.tar.gz

This will create a data folder and a requirements.txt file in the working directory.

Step 3: Creating an environment with the required software

The requirements.txt file can be used to install all required software into an isolated conda environment with the name snakemake-tutorial via

conda create -n snakemake-tutorial -c bioconda --file requirements.txt

Note that the arguments after the -c flags define software channels that shall be used in addition to the main conda repository. Here, we use the Bioconda channel, which contains a growing collection of bioinformatics software packaged for Conda.

Step 4: Activating the environment

To activate the snakemake-tutorial enviroment, execute

source activate snakemake-tutorial

Now you can use the installed tools. Execute

snakemake --help

to test this and get information about the command-line interface of Snakemake. To exit the environment, you can execute

source deactivate

but don’t do that now, since we finally want to start working with Snakemake :-).

Basics: An example workflow

Please make sure that you have activated the environment we created before, and that you have an open terminal in the working directory you have created.

A Snakemake workflow is defined by specifying rules in a Snakefile. Rules decompose the workflow into small steps (e.g., the application of a single tool) by specifying how to create sets of output files from sets of input files. Snakemake automatically determines the dependencies between the rules by matching file names.

The Snakemake language extends the Python language, adding syntactic structures for rule definition and additional controls. All added syntactic structures begin with a keyword followed by a code block that is either in the same line or indented and consisting of multiple lines. The resulting syntax resembles that of original Python constructs.

In the following, we will introduce the Snakemake syntax by creating an example workflow. The workflow will map sequencing reads to a reference genome and call variants on the mapped reads.

Step 1: Mapping reads

Our first Snakemake rule maps reads of a given sample to a given reference genome. In the working directory, create a new file called Snakefile with an editor of your choice. We propose to use the Atom editor, since it provides out-of-the-box syntax highlighting for Snakemake. In the Snakefile, define the following rule:

rule bwa_map:
    input:
        "data/genome.fa",
        "data/samples/A.fastq"
    output:
        "mapped_reads/A.bam"
    shell:
        "bwa mem {input} | samtools view -Sb - > {output}"

A Snakemake rule has a name (here bwa_map) and a number of directives, here input, output and shell. The input and output directives are followed by lists of files that are expected to be used or created by the rule. In the simplest case, these are just explicit Python strings. The shell directive is followed by a Python string containing the shell command to execute. In the shell command string, we can refer to elements of the rule via braces notation (similar to the Python format function). Here, we refer to the output file by specifying {output} and to the input files by specifying {input}. Since the rule has multiple input files, Snakemake will concatenate them separated by a whitespace. In other words, Snakemake will replace {input} with data/genome.fa data/samples/A.fastq before executing the command. The shell command invokes bwa mem with reference genome and reads, and pipes the output into samtools which creates a compressed BAM file containing the alignments. The output of samtools is piped into the output file defined by the rule.

When a workflow is executed, Snakemake tries to generate given target files. Target files can be specified via the command line. By executing

snakemake -np mapped_reads/A.bam

in the working directory containing the Snakefile, we tell Snakemake to generate the target file mapped_reads/A.bam. Since we used the -n (or --dryrun) flag, Snakemake will only show the execution plan instead of actually perform the steps. The -p flag instructs Snakemake to also print the resulting shell command for illustation. To generate the target files, Snakemake applies the rules given in the Snakefile in a top-down way. The application of a rule to generate a set of output files is called job. For each input file of a job, Snakemake again (i.e. recursively) determines rules that can be applied to generate it. This yields a directed acyclic graph (DAG) of jobs where the edges represent dependencies. So far, we only have a single rule, and the DAG of jobs consists of a single node. Nevertheless, we can execute our workflow with

snakemake mapped_reads/A.bam

Note that, after completion of above command, Snakemake will not try to create mapped_reads/A.bam again, because it is already present in the file system. Snakemake only re-runs jobs if one of the input files is newer than one of the output files or one of the input files will be updated by another job.

Step 2: Generalizing the read mapping rule

Obviously, the rule will only work for a single sample with reads in the file data/samples/A.fastq. However, Snakemake allows to generalize rules by using named wildcards. Simply replace the A in the second input file and in the output file with the wildcard {sample}, leading to

rule bwa_map:
    input:
        "data/genome.fa",
        "data/samples/{sample}.fastq"
    output:
        "mapped_reads/{sample}.bam"
    shell:
        "bwa mem {input} | samtools view -Sb - > {output}"

When Snakemake determines that this rule can be applied to generate a target file by replacing the wildcard {sample} in the output file with an appropriate value, it will propagate that value to all occurences of {sample} in the input files and thereby determine the necessary input for the resulting job. Note that you can have multiple wildcards in your file paths, however, to avoid conflicts with other jobs of the same rule, all output files of a rule have to contain exactly the same wildcards.

When executing

snakemake -np mapped_reads/B.bam

Snakemake will determine that the rule bwa_map can be applied to generate the target file by replacing the wildcard {sample} with the value B. In the output of the dry-run, you will see how the wildcard value is propagated to the input files and all filenames in the shell command. You can also specify multiple targets, e.g.:

snakemake -np mapped_reads/A.bam mapped_reads/B.bam

Some Bash magic can make this particularly handy. For example, you can alternatively compose our multiple targets in a single pass via

snakemake -np mapped_reads/{A,B}.bam

Note that this is not a special Snakemake syntax. Bash is just expanding the given path into two, one for each element of the set {A,B}.

In both cases, you will see that Snakemake only proposes to create the output file mapped_reads/B.bam. This is because you already executed the workflow before (see the previous step) and no input file is newer than the output file mapped_reads/A.bam. You can update the file modification date of the input file data/samples/A.fastq via

touch data/samples/A.fastq

and see how Snakemake wants to re-run the job to create the file mapped_reads/A.bam by executing

snakemake -np mapped_reads/A.bam mapped_reads/B.bam

Step 3: Sorting read alignments

For later steps, we need the read alignments in the BAM files to be sorted. This can be achieved with the samtools command. We add the following rule beneath the bwa_map rule:

rule samtools_sort:
    input:
        "mapped_reads/{sample}.bam"
    output:
        "sorted_reads/{sample}.bam"
    shell:
        "samtools sort -T sorted_reads/{wildcards.sample} "
        "-O bam {input} > {output}"

This rule will take the input file from the mapped_reads directory and store a sorted version in the sorted_reads directory. Note that Snakemake automatically creates missing directories before jobs are executed. For sorting, samtools requires a prefix specified with the flag -T. Here, we need the value of the wildcard sample. Snakemake allows to access wildcards in the shell command via the wildcards object that has an attribute with the value for each wildcard.

When issuing

snakemake -np sorted_reads/B.bam

you will see how Snakemake wants to run first the rule bwa_map and then the rule samtools_sort to create the desired target file: as mentioned before, the dependencies are resolved automatically by matching file names.

Step 4: Indexing read alignments and visualizing the DAG of jobs

Next, we need to index the sorted read alignments for random access. This can be done with the following rule:

rule samtools_index:
    input:
        "sorted_reads/{sample}.bam"
    output:
        "sorted_reads/{sample}.bam.bai"
    shell:
        "samtools index {input}"

Having three steps already, it is a good time to take a closer look at the resulting DAG of jobs. By executing

snakemake --dag sorted_reads/{A,B}.bam.bai | dot -Tsvg > dag.svg

we create a visualization of the DAG using the dot command provided by Graphviz. For the given target files, Snakemake specifies the DAG in the dot language and pipes it into the dot command, which renders the definition into SVG format. The rendered DAG is piped into the file dag.svg and will look similar to this:

image

The DAG contains a node for each job and edges representing the dependencies. Jobs that don’t need to be run because their output is up-to-date are dashed. For rules with wildcards, the value of the wildcard for the particular job is displayed in the job node.

Exercise

  • Run parts of the workflow using different targets. Recreate the DAG and see how different rules become dashed because their output is present and up-to-date.

Step 5: Calling genomic variants

The next step in our workflow will aggregate the aligned reads from all samples and jointly call genomic variants on them. Snakemake provides a helper function for collecting input files. With

expand("sorted_reads/{sample}.bam", sample=SAMPLES)

we obtain a list of files where the given pattern "sorted_reads/{sample}.bam" was formatted with the values in the given list of samples SAMPLES, i.e.

["sorted_reads/A.bam", "sorted_reads/B.bam"]

The function is particularly useful when the pattern contains multiple wildcards. For example,

expand("sorted_reads/{sample}.{replicate}.bam", sample=SAMPLES, replicate=[0, 1])

would create the product of all elements of SAMPLES and the list [0, 1], yielding

["sorted_reads/A.0.bam", "sorted_reads/A.1.bam", "sorted_reads/B.0.bam", "sorted_reads/B.1.bam"]

For more information, see the Documentation. Here, we use only the simple case of expand. We first let Snakemake know which samples we want to consider. Remember that Snakemake works top-down, it does not automatically infer this from, e.g., the fastq files in the data folder. Remember that Snakefiles are in principle Python code enhanced by some declarative statements to define workflows. Hence, we can define the list of samples ad-hoc in plain Python at the top of the Snakefile:

SAMPLES = ["A", "B"]

Later, we will learn about more sophisticated ways like config files. Now, we can add the following rule to our Snakefile:

rule bcftools_call:
    input:
        fa="data/genome.fa",
        bam=expand("sorted_reads/{sample}.bam", sample=SAMPLES),
        bai=expand("sorted_reads/{sample}.bam.bai", sample=SAMPLES)
    output:
        "calls/all.vcf"
    shell:
        "samtools mpileup -g -f {input.fa} {input.bam} | "
        "bcftools call -mv - > {output}"

With multiple input or output files, it is sometimes handy to refer them separately in the shell command. This can be done by specifying names for input or output files (here, e.g., fa=...). The files can then be referred in the shell command via, e.g., {input.fa}. For long shell commands like this one, it is advisable to split the string over multiple indented lines. Python will automatically merge it into one. Further, you will notice that the input or output file lists can contain arbitrary Python statements, as long as it returns a string, or a list of strings. Here, we invoke our expand function to aggregate over the aligned reads of all samples.

Exercise

  • obtain the updated DAG of jobs for the target file calls/all.vcf, it should look like this:

image

Step 6: Writing a report

Although Snakemake workflows are already self-documenting to a certain degree, it is often useful to summarize the obtained results and performed steps in a comprehensive report. With Snakemake, such reports can be composed easily with the built-in report function. It is best practice to create reports in a separate rule that takes all desired results as input files and provides a single HTML file as output.

rule report:
    input:
        "calls/all.vcf"
    output:
        "report.html"
    run:
        from snakemake.utils import report
        with open(input[0]) as vcf:
            n_calls = sum(1 for l in vcf if not l.startswith("#"))

        report("""
        An example variant calling workflow
        ===================================

        Reads were mapped to the Yeast
        reference genome and variants were called jointly with
        SAMtools/BCFtools.

        This resulted in {n_calls} variants (see Table T1_).
        """, output[0], T1=input[0])

First, we notice that this rule does not entail a shell command. Instead, we use the run directive, which is followed by plain Python code. Similar to the shell case, we have access to input and output files, which we can handle as plain Python objects (no braces notation here).

We go through the run block line by line. First, we import the report function from snakemake.utils. Second, we open the VCF file by accessing it via its index in the input files (i.e. input[0]), and count the number of non-header lines (which is equivalent to the number of variant calls). Third, we create the report using the report function. The function takes a string that contains RestructuredText markup. In addition, we can use the familiar braces notation to access any Python variables (here the samples and n_calls variables we have defined before). The second argument of the report function is the path were the report will be stored (the function creates a single HTML file). Then, report expects any number of keyword arguments referring to files that shall be embedded into the report. Technically, this means that the file will be stored as a Base64 encoded data URI within the HTML file, making reports entirely self-contained. Importantly, you can refer to the files from within the report via the given keywords followed by an underscore (here T1_). Hence, reports can be used to semantically connect and explain the obtained results.

When having many result files, it is sometimes handy to define the names already in the list of input files and unpack these into keyword arguments as follows:

report("""...""", output[0], **input)

Further, you can add meta data in the form of any string that will be displayed in the footer of the report, e.g.

report("""...""", output[0], metadata="Author: Johannes Köster (koester@jimmy.harvard.edu)", **input)

Step 7: Adding a target rule

So far, we always executed the workflow by specifying a target file at the command line. Apart from filenames, Snakemake also accepts rule names as targets if the referred rule does not have wildcards. Hence, it is possible to write target rules collecting particular subsets of the desired results or all results. Moreover, if no target is given at the command line, Snakemake will define the first rule of the Snakefile as the target. Hence, it is best practice to have a rule all at the top of the workflow which has all typically desired target files as input files.

Here, this means that we add a rule

rule all:
    input:
        "report.html"

to the top of our workflow. When executing Snakemake with

snakemake -n

the execution plan for creating the file report.html which contains and summarizes all our results will be shown. Note that, apart from Snakemake considering the first rule of the workflow as default target, the appearance of rules in the Snakefile is arbitrary and does not influence the DAG of jobs.

Exercise

  • Create the DAG of jobs for the complete workflow.
  • Execute the complete workflow and have a look at the resulting report.html in your browser.
  • Snakemake provides handy flags for forcing re-execution of parts of the workflow. Have a look at the command line help with snakemake --help and search for the flag --forcerun. Then, use this flag to re-execute the rule samtools_sort and see what happens.
  • With --reason it is possible to display the execution reason for each job. Try this flag together with a dry-run and the --forcerun flag to understand the decisions of Snakemake.

Summary

In total, the resulting workflow looks like this:

SAMPLES = ["A", "B"]


rule all:
    input:
        "report.html"


rule bwa_map:
    input:
        "data/genome.fa",
        "data/samples/{sample}.fastq"
    output:
        "mapped_reads/{sample}.bam"
    shell:
        "bwa mem {input} | samtools view -Sb - > {output}"


rule samtools_sort:
    input:
        "mapped_reads/{sample}.bam"
    output:
        "sorted_reads/{sample}.bam"
    shell:
        "samtools sort -T sorted_reads/{wildcards.sample} "
        "-O bam {input} > {output}"


rule samtools_index:
    input:
        "sorted_reads/{sample}.bam"
    output:
        "sorted_reads/{sample}.bam.bai"
    shell:
        "samtools index {input}"


rule bcftools_call:
    input:
        fa="data/genome.fa",
        bam=expand("sorted_reads/{sample}.bam", sample=SAMPLES),
        bai=expand("sorted_reads/{sample}.bam.bai", sample=SAMPLES)
    output:
        "calls/all.vcf"
    shell:
        "samtools mpileup -g -f {input.fa} {input.bam} | "
        "bcftools call -mv - > {output}"


rule report:
    input:
        "calls/all.vcf"
    output:
        "report.html"
    run:
        from snakemake.utils import report
        with open(input[0]) as vcf:
            n_calls = sum(1 for l in vcf if not l.startswith("#"))

        report("""
        An example variant calling workflow
        ===================================

        Reads were mapped to the Yeast
        reference genome and variants were called jointly with
        SAMtools/BCFtools.

        This resulted in {n_calls} variants (see Table T1_).
        """, output[0], T1=input[0])

Advanced: Decorating the example workflow

Now that the basic concepts of Snakemake have been illustrated, we can introduce advanced topics.

Step 1: Specifying the number of used threads

For some tools, it is advisable to use more than one thread in order to speed up the computation. Snakemake can be made aware of the threads a rule needs with the threads directive. In our example workflow, it makes sense to use multiple threads for the rule bwa_map:

rule bwa_map:
    input:
        "data/genome.fa",
        "data/samples/{sample}.fastq"
    output:
        "mapped_reads/{sample}.bam"
    threads: 8
    shell:
        "bwa mem -t {threads} {input} | samtools view -Sb - > {output}"

The number of threads can be propagated to the shell command with the familiar braces notation (i.e. {threads}). If no threads directive is given, a rule is assumed to need 1 thread.

When a workflow is executed, the number of threads the jobs need is considered by the Snakemake scheduler. In particular, the scheduler ensures that the sum of the threads of all running jobs does not exceed a given number of available CPU cores. This number can be given with the --cores command line argument (per default, Snakemake uses only 1 CPU core). For example

snakemake --cores 10

would execute the workflow with 10 cores. Since the rule bwa_map needs 8 threads, only one job of the rule can run at a time, and the Snakemake scheduler will try to saturate the remaining cores with other jobs like, e.g., samtools_sort. The threads directive in a rule is interpreted as a maximum: when less cores than threads are provided, the number of threads a rule uses will be reduced to the number of given cores.

Apart from the very common thread resource, Snakemake provides a resources directive that can be used to specify arbitrary resources, e.g., memory usage or auxiliary computing devices like GPUs. Similar to threads, these can be considered by the scheduler when an available amount of that resource is given with the command line argument --resources. Details can be found in the Snakemake Documentation.

Exercise

  • With the flag --forceall you can enforce a complete re-execution of the workflow. Combine this flag with different values for --cores and examine how the scheduler selects jobs to run in parallel.

Step 2: Config files

So far, we specified the samples to consider in a Python list within the Snakefile. However, often you want your workflow to be customizable, so that it can be easily adapted to new data. For this purpose, Snakemake provides a config file mechanism. Config files can be written in JSON or YAML, and loaded with the configfile directive. In our example workflow, we add the line

configfile: "config.yaml"

to the top of the Snakefile. Snakemake will load the config file and store its contents into a globally available dictionary named config. In our case, it makes sense to specify the samples in config.yaml as

samples:
    A: data/samples/A.fastq
    B: data/samples/B.fastq

Now, we can remove the statement defining SAMPLES from the Snakefile and change the rule bcftools_call to

rule bcftools_call:
    input:
        fa="data/genome.fa",
        bam=expand("sorted_reads/{sample}.bam", sample=config["samples"]),
        bai=expand("sorted_reads/{sample}.bam.bai", sample=config["samples"])
    output:
        "calls/all.vcf"
    shell:
        "samtools mpileup -g -f {input.fa} {input.bam} | "
        "bcftools call -mv - > {output}"

Step 3: Input functions

Since we have stored the path to the FASTQ files in the config file, we can also generalize the rule bwa_map to use these paths. This case is different to the rule bcftools_call we modified above. To understand this, it is important to know that Snakemake workflows are executed in three phases.

  • In the initialization phase, the workflow is parsed and all rules are instantiated.
  • In the DAG phase, the DAG of jobs is built by filling wildcards and matching input files to output files.
  • In the scheduling phase, the DAG of jobs is executed.

The expand functions in the list of input files of the rule bcftools_call are executed during the initialization phase. In this phase, we don’t know about jobs, wildcard values and rule dependencies. Hence, we cannot determine the FASTQ paths for rule bwa_map from the config file in this phase, because we don’t even know which jobs will be generated from that rule. Instead, we need to defer the determination of input files to the DAG phase. This can be achieved by specifying an input function instead of a string as inside of the input directive. For the rule bwa_map this works as follows:

rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        "mapped_reads/{sample}.bam"
    threads: 8
    shell:
        "bwa mem -t {threads} {input} | samtools view -Sb - > {output}"

Here, we use an anonymous function, also called lambda expression. Any normal function would work as well. Input functions take as single argument a wildcards object, that allows to access the wildcards values via attributes (here wilcards.sample). They return a string or a list of strings, that are interpeted as paths to input files (here, we return the path that is stored for the sample in the config file). Input functions are evaluated once the wildcard values of a job are determined.

Exercise

  • In the data/samples folder, there is an additional sample C.fastq. Add that sample to the config file and see how Snakemake wants to recompute the part of the workflow belonging to the new sample.

Step 4: Rule parameters

Sometimes, shell commands are not only composed of input and output files and some static flags. In particular, it can happen that additional parameters need to be set depending on the wildcard values of the job. For this, Snakemake allows to define arbitrary parameters for rules with the params directive. In our workflow, it is reasonable to annotate aligned reads with so-called read groups, that contain metadata like the sample name. We modify the rule bwa_map accordingly:

rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        "mapped_reads/{sample}.bam"
    params:
        rg="@RG\tID:{sample}\tSM:{sample}"
    threads: 8
    shell:
        "bwa mem -R '{params.rg}' -t {threads} {input} | samtools view -Sb - > {output}"

Similar to input and output files, params can be accessed from the shell command. Moreover, the params directive can also take functions like in Step 3 to defer initialization to the DAG phase.

Exercise

  • Variant calling can consider a lot of parameters. A particularly important one is the prior mutation rate (1e-3 per default). It is set via the flag -P of the bcftools call command. Consider making this flag configurable via adding a new key to the config file and using the params directive in the rule bcftools_call to propagate it to the shell command.

Step 5: Logging

When executing a large workflow, it is usually desirable to store the output of each job persistently in files instead of just printing it to the terminal. For this purpose, Snakemake allows to specify log files for rules. Log files are defined via the log directive and handled similarly to output files, but they are not subject of rule matching and are not cleaned up when a job fails. We modify our rule bwa_map as follows:

rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        "mapped_reads/{sample}.bam"
    params:
        rg="@RG\tID:{sample}\tSM:{sample}"
    log:
        "logs/bwa_map/{sample}.log"
    threads: 8
    shell:
        "(bwa mem -R '{params.rg}' -t {threads} {input} | "
        "samtools view -Sb - > {output}) 2> {log}"

The shell command is modified to collect STDERR output of both bwa and samtools and pipe it into the file referred by {log}. It is best practice to store all log files in a logs subdirectory, prefixed by the rule or tool name. Log files must contain exactly the same wildcards as the output files to avoid clashes.

Exercise

  • Add a log directive to the bcftools_call rule as well.
  • Time to re-run the whole workflow (remember the command line flags to force re-execution). See how log files are created for variant calling and read mapping.
  • The ability to track the provenance of each generated result is an important step towards reproducible analyses. Apart from the report functionality discussed before, Snakemake can summarize various provenance information for all output files of the workflow. The flag --summary prints a table associating each output file with the rule used to generate it, the creation date and optionally the version of the tool used for creation is provided. Further, the table informs about updated input files and changes to the source code of the rule after creation of the output file. Invoke Snakemake with --summary to examine the information for our example.

Step 6: Temporary and protected files

In our workflow, we create two BAM files for each sample, namely the output of the rules bwa_map and samtools_sort. When not dealing with examples, the underlying data is usually huge. Hence, the resulting BAM files need a lot of disk space and their creation takes some time. Snakemake allows to mark output files as temporary, such that they are deleted once every consuming job has been executed, in order to save disk space. We use this mechanism for the output file of the rule bwa_map:

rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        temp("mapped_reads/{sample}.bam")
    params:
        rg="@RG\tID:{sample}\tSM:{sample}"
    log:
        "logs/bwa_map/{sample}.log"
    threads: 8
    shell:
        "(bwa mem -R '{params.rg}' -t {threads} {input} | "
        "samtools view -Sb - > {output}) 2> {log}"

This results in the deletion of the BAM file once the corresponding samtools_sort job has been executed. Since the creation of BAM files via read mapping and sorting is computationally expensive, it is reasonable to protect the final BAM file from accidental deletion or modification. We modify the rule samtools_sort by marking it’s output file as protected:

rule samtools_sort:
    input:
        "mapped_reads/{sample}.bam"
    output:
        protected("sorted_reads/{sample}.bam")
    shell:
        "samtools sort -T sorted_reads/{wildcards.sample} "
        "-O bam {input} > {output}"

After execution of the job, Snakemake will write-protect the output file in the filesystem, so that it can’t be overwritten or deleted accidentally.

Exercise

  • Re-execute the whole workflow and observe how Snakemake handles the temporary and protected files.
  • Run Snakemake with the target mapped_reads/A.bam. Although the file is marked as temporary, you will see that Snakemake does not delete it because it is specified as a target file.
  • Try to re-execute the whole workflow again with the dry-run option. You will see that it fails (as intended) because Snakemake cannot overwrite the protected output files.

Summary

The final version of our workflow looks like this:

configfile: "config.yaml"


rule all:
    input:
        "report.html"


rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        temp("mapped_reads/{sample}.bam")
    params:
        rg="@RG\tID:{sample}\tSM:{sample}"
    log:
        "logs/bwa_map/{sample}.log"
    threads: 8
    shell:
        "(bwa mem -R '{params.rg}' -t {threads} {input} | "
        "samtools view -Sb - > {output}) 2> {log}"


rule samtools_sort:
    input:
        "mapped_reads/{sample}.bam"
    output:
        protected("sorted_reads/{sample}.bam")
    shell:
        "samtools sort -T sorted_reads/{wildcards.sample} "
        "-O bam {input} > {output}"


rule samtools_index:
    input:
        "sorted_reads/{sample}.bam"
    output:
        "sorted_reads/{sample}.bam.bai"
    shell:
        "samtools index {input}"


rule bcftools_call:
    input:
        fa="data/genome.fa",
        bam=expand("sorted_reads/{sample}.bam", sample=config["samples"]),
        bai=expand("sorted_reads/{sample}.bam.bai", sample=config["samples"])
    output:
        "calls/all.vcf"
    shell:
        "samtools mpileup -g -f {input.fa} {input.bam} | "
        "bcftools call -mv - > {output}"


rule report:
    input:
        "calls/all.vcf"
    output:
        "report.html"
    run:
        from snakemake.utils import report
        with open(input[0]) as vcf:
            n_calls = sum(1 for l in vcf if not l.startswith("#"))

        report("""
        An example variant calling workflow
        ===================================

        Reads were mapped to the Yeast
        reference genome and variants were called jointly with
        SAMtools/BCFtools.

        This resulted in {n_calls} variants (see Table T1_).
        """, output[0], T1=input[0])

Additional features

In the following, we introduce some features that are beyond the scope of above example workflow. For details and even more features, see the Documentation, the FAQ and the command line help (snakemake --help).

Benchmarking

With the benchmark directive, Snakemake can be instructed to measure the wall clock time of a job. We activate benchmarking for the rule bwa_map:

rule bwa_map:
    input:
        "data/genome.fa",
        lambda wildcards: config["samples"][wildcards.sample]
    output:
        temp("mapped_reads/{sample}.bam")
    params:
        rg="@RG\tID:{sample}\tSM:{sample}"
    log:
        "logs/bwa_map/{sample}.log"
    benchmark:
        "benchmarks/{sample}.bwa.benchmark.txt"
    threads: 8
    shell:
        "(bwa mem -R '{params.rg}' -t {threads} {input} | "
        "samtools view -Sb - > {output}) 2> {log}"

The benchmark directive takes a string that points to the file where benchmarking results shall be stored. Similar to output files, the path can contain wildcards (it must be the same wildcards as in the output files). When a job derived from the rule is executed, Snakemake will measure the wall clock time and store it in the file in tab-delimited format. With the command line flag --benchmark-repeats, Snakemake can be instructed to perform repetetive measurements by executing benchmark jobs multiple times. The repeated measurements occur as subsequent lines in the tab-delimited benchmark file.

We can include the benchmark results into our report:

rule report:
    input:
        T1="calls/all.vcf",
        T2=expand("benchmarks/{sample}.bwa.benchmark.txt", sample=config["samples"])
    output:
        "report.html"
    run:
        from snakemake.utils import report
        with open(input[0]) as vcf:
            n_calls = sum(1 for l in vcf if not l.startswith("#"))

        report("""
        An example variant calling workflow
        ===================================

        Reads were mapped to the Yeast
        reference genome and variants were called jointly with
        SAMtools/BCFtools.

        This resulted in {n_calls} variants (see Table T1_).
        Benchmark results for BWA can be found in the tables T2_.
        """, output[0], **input)

We use the expand function to collect the benchmark files for all samples. Here, we directly provide names for the input files. In particular, we can also name the whole list of benchmark files returned by the expand function as T2. When invoking the report function, we just unpack input into keyword arguments (resulting in T1 and T2). In the text, we refer with T2_ to the list of benchmark files.

Exercise

  • Re-execute the workflow and benchmark bwa_map with 3 repeats. Open the report and see how the list of benchmark files is presented in the HTML report.

Modularization

In order to re-use building blocks or simply to structure large workflows, it is sometimes reasonable to split a workflow into modules. For this, Snakemake provides the include directive to include another Snakefile into the current one, e.g.:

include: "path/to/other.snakefile"

Alternatively, Snakemake allows to define sub-workflows. A sub-workflow refers to a working directory with a complete Snakemake workflow. Output files of that sub-workflow can be used in the current Snakefile. When executing, Snakemake ensures that the output files of the sub-workflow are up-to-date before executing the current workflow. This mechanism is particularly useful when you want to extend a previous analysis without modifying it. For details about sub-workflows, see the Documentation.

Exercise

  • Put the read mapping related rules into a separate Snakefile and use the include directive to make them available in our example workflow again.

Using custom scripts

With Snakemake, there are two strategies to use custom scripts in your workflow.

Method 1: Use the run directive

With the run directive, Snakemake already provides a way to execute plain Python code in a rule. Apart from Python, this can also be used to execute R code by using the Python package rpy2. Further, Snakemake provides a function snakemake.utils.R that allows to pass a string that is interpreted as R code. The code can thereby refer to, e.g., input and output files or parameters of the rule. Examples can be found in the Documentation.

Method 2: Create separate scripts

For larger tasks, it is a good idea to create separate scripts with command line interfaces, which are then invoked from Snakemake via the shell directive. This also allows to re-use the scripts in other analyses. In case of R, we propose to use Rscript for invocation.

Cluster execution

By default, Snakemake executes jobs on the local machine it is invoked on. Alternatively, it can execute jobs in distributed environments, e.g., compute clusters or batch systems. If the nodes share a common file system, Snakemake supports three alternative execution modes.

In cluster enviroments, compute jobs are usually submitted as shell scripts via commands like qsub. Snakemake provides a generic mode to execute on such clusters. By invoking Snakemake with

snakemake --cluster qsub --jobs 100

each job will be compiled into a shell script that is submitted with the given command (here qsub). The --jobs flag limits the number of concurrently submitted jobs to 100. This basic mode assumes that the submission command returns immediately after submitting the job. Some clusters allow to run the submission command in synchronous mode, such that it waits until the job has been executed. In such cases, we can invoke e.g.

snakemake --cluster-sync "qsub -sync yes" --jobs 100

The specified submission command can also be decorated with additional parameters taken from the submitted job. For example, the number of used threads can be accessed in braces similarly to the formatting of shell commands, e.g.

snakemake --cluster "qsub -pe threaded {threads}" --jobs 100

Alternatively, Snakemake can use the Distributed Resource Management Application API (DRMAA). This API provides a common interface to control various resource management systems. The DRMAA support can be activated by invoking Snakemake as follows:

snakemake --drmaa --jobs 100

If available, DRMAA is preferable over the generic cluster modes because it provides better control and error handling. To support additional cluster specific parametrization, a Snakefile can be complementd by a cluster configuration.

Constraining wildcards

Snakemake uses regular expressions to match output files to input files and determine dependencies between the jobs. Sometimes it is useful to constrain the values a wildcard can have. This can be achieved by adding a regular expression that describes the set of allowed wildcard values. For example, the wildcard sample in the output file "sorted_reads/{sample}.bam" can be constrained to only allow alphanumeric sample names as "sorted_reads/{sample,[A-Za-z0-9]+}.bam". This mechanism helps to solve two kinds of ambiguity.

  • It can help to avoid ambiguous rules, i.e. two or more rules that can be applied to generate the same output file. Other ways of handling ambiguous rules are described in the Documentation.
  • It can help to guide the regular expression based matching so that wildcards are assigned to the right parts of a file name. Consider the output file {sample}.{group}.txt and assume that the target file is A.1.normal.txt. It is not clear whether dataset="A.1" and group="normal" or dataset="A" and group="1.normal" is the right assignment. Here, constraining the dataset wildcard by {sample,[A-Z]+}.{group} solves the problem.

When dealing with ambiguous rules, it is best practice to first try to solve the ambiguity by using a proper file structure, for example, by separating the output files of different steps in different directories.

snakemake-snakemake-4c7c76effe4d/snakemake/000077500000000000000000000000001265064562200207125ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/snakemake/__init__.py000066400000000000000000001344611265064562200230340ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import subprocess import glob import argparse from argparse import ArgumentError import logging as _logging import multiprocessing import re import sys import inspect import threading import webbrowser from functools import partial from snakemake.workflow import Workflow from snakemake.exceptions import print_exception from snakemake.logging import setup_logger, logger from snakemake.version import __version__ from snakemake.io import load_configfile from snakemake.shell import shell def snakemake(snakefile, listrules=False, list_target_rules=False, cores=1, nodes=1, local_cores=1, resources=dict(), config=dict(), configfile=None, config_args=None, workdir=None, targets=None, dryrun=False, touch=False, forcetargets=False, forceall=False, forcerun=[], until=[], omit_from=[], prioritytargets=[], stats=None, printreason=False, printshellcmds=False, printdag=False, printrulegraph=False, printd3dag=False, nocolor=False, quiet=False, keepgoing=False, cluster=None, cluster_config=None, cluster_sync=None, drmaa=None, jobname="snakejob.{rulename}.{jobid}.sh", immediate_submit=False, standalone=False, ignore_ambiguity=False, snakemakepath=None, lock=True, unlock=False, cleanup_metadata=None, force_incomplete=False, ignore_incomplete=False, list_version_changes=False, list_code_changes=False, list_input_changes=False, list_params_changes=False, list_resources=False, summary=False, detailed_summary=False, latency_wait=3, benchmark_repeats=1, wait_for_files=None, print_compilation=False, debug=False, notemp=False, nodeps=False, keep_target_files=False, keep_shadow=False, allowed_rules=None, jobscript=None, timestamp=False, greediness=None, no_hooks=False, overwrite_shellcmd=None, updated_files=None, log_handler=None, keep_logger=False, verbose=False): """Run snakemake on a given snakefile. This function provides access to the whole snakemake functionality. It is not thread-safe. Args: snakefile (str): the path to the snakefile listrules (bool): list rules (default False) list_target_rules (bool): list target rules (default False) cores (int): the number of provided cores (ignored when using cluster support) (default 1) nodes (int): the number of provided cluster nodes (ignored without cluster support) (default 1) local_cores (int): the number of provided local cores if in cluster mode (ignored without cluster support) (default 1) resources (dict): provided resources, a dictionary assigning integers to resource names, e.g. {gpu=1, io=5} (default {}) config (dict): override values for workflow config workdir (str): path to working directory (default None) targets (list): list of targets, e.g. rule or file names (default None) dryrun (bool): only dry-run the workflow (default False) touch (bool): only touch all output files if present (default False) forcetargets (bool): force given targets to be re-created (default False) forceall (bool): force all output files to be re-created (default False) forcerun (list): list of files and rules that shall be re-created/re-executed (default []) prioritytargets (list): list of targets that shall be run with maximum priority (default []) stats (str): path to file that shall contain stats about the workflow execution (default None) printreason (bool): print the reason for the execution of each job (default false) printshellcmds (bool): print the shell command of each job (default False) printdag (bool): print the dag in the graphviz dot language (default False) printrulegraph (bool): print the graph of rules in the graphviz dot language (default False) printd3dag (bool): print a D3.js compatible JSON representation of the DAG (default False) nocolor (bool): do not print colored output (default False) quiet (bool): do not print any default job information (default False) keepgoing (bool): keep goind upon errors (default False) cluster (str): submission command of a cluster or batch system to use, e.g. qsub (default None) cluster_config (str): configuration file for cluster options (default None) cluster_sync (str): blocking cluster submission command (like SGE 'qsub -sync y') (default None) drmaa (str): if not None use DRMAA for cluster support, str specifies native args passed to the cluster when submitting a job jobname (str): naming scheme for cluster job scripts (default "snakejob.{rulename}.{jobid}.sh") immediate_submit (bool): immediately submit all cluster jobs, regardless of dependencies (default False) standalone (bool): kill all processes very rudely in case of failure (do not use this if you use this API) (default False) ignore_ambiguity (bool): ignore ambiguous rules and always take the first possible one (default False) snakemakepath (str): path to the snakemake executable (default None) lock (bool): lock the working directory when executing the workflow (default True) unlock (bool): just unlock the working directory (default False) cleanup_metadata (bool): just cleanup metadata of output files (default False) force_incomplete (bool): force the re-creation of incomplete files (default False) ignore_incomplete (bool): ignore incomplete files (default False) list_version_changes (bool): list output files with changed rule version (default False) list_code_changes (bool): list output files with changed rule code (default False) list_input_changes (bool): list output files with changed input files (default False) list_params_changes (bool): list output files with changed params (default False) summary (bool): list summary of all output files and their status (default False) latency_wait (int): how many seconds to wait for an output file to appear after the execution of a job, e.g. to handle filesystem latency (default 3) benchmark_repeats (int): number of repeated runs of a job if declared for benchmarking (default 1) wait_for_files (list): wait for given files to be present before executing the workflow list_resources (bool): list resources used in the workflow (default False) summary (bool): list summary of all output files and their status (default False). If no option is specified a basic summary will be ouput. If 'detailed' is added as an option e.g --summary detailed, extra info about the input and shell commands will be included detailed_summary (bool): list summary of all input and output files and their status (default False) print_compilation (bool): print the compilation of the snakefile (default False) debug (bool): allow to use the debugger within rules notemp (bool): ignore temp file flags, e.g. do not delete output files marked as temp after use (default False) nodeps (bool): ignore dependencies (default False) keep_target_files (bool): Do not adjust the paths of given target files relative to the working directory. keep_shadow (bool): Do not delete the shadow directory on snakemake startup. allowed_rules (set): Restrict allowed rules to the given set. If None or empty, all rules are used. jobscript (str): path to a custom shell script template for cluster jobs (default None) timestamp (bool): print time stamps in front of any output (default False) greediness (float): set the greediness of scheduling. This value between 0 and 1 determines how careful jobs are selected for execution. The default value (0.5 if prioritytargets are used, 1.0 else) provides the best speed and still acceptable scheduling quality. overwrite_shellcmd (str): a shell command that shall be executed instead of those given in the workflow. This is for debugging purposes only. updated_files(list): a list that will be filled with the files that are updated or created during the workflow execution verbose(bool): show additional debug output (default False) log_handler (function): redirect snakemake output to this custom log handler, a function that takes a log message dictionary (see below) as its only argument (default None). The log message dictionary for the log handler has to following entries: :level: the log level ("info", "error", "debug", "progress", "job_info") :level="info", "error" or "debug": :msg: the log message :level="progress": :done: number of already executed jobs :total: number of total jobs :level="job_info": :input: list of input files of a job :output: list of output files of a job :log: path to log file of a job :local: whether a job is executed locally (i.e. ignoring cluster) :msg: the job message :reason: the job reason :priority: the job priority :threads: the threads of the job Returns: bool: True if workflow execution was successful. """ if updated_files is None: updated_files = list() if cluster or cluster_sync or drmaa: cores = sys.maxsize else: nodes = sys.maxsize if cluster_config: cluster_config = load_configfile(cluster_config) else: cluster_config = dict() if not keep_logger: setup_logger(handler=log_handler, quiet=quiet, printreason=printreason, printshellcmds=printshellcmds, nocolor=nocolor, stdout=dryrun, debug=verbose, timestamp=timestamp) if greediness is None: greediness = 0.5 if prioritytargets else 1.0 else: if not (0 <= greediness <= 1.0): logger.error("Error: greediness must be a float between 0 and 1.") return False if not os.path.exists(snakefile): logger.error("Error: Snakefile \"{}\" not present.".format(snakefile)) return False snakefile = os.path.abspath(snakefile) cluster_mode = (cluster is not None) + (cluster_sync is not None) + (drmaa is not None) if cluster_mode > 1: logger.error("Error: cluster and drmaa args are mutually exclusive") return False if debug and (cores > 1 or cluster_mode): logger.error( "Error: debug mode cannot be used with more than one core or cluster execution.") return False overwrite_config = dict() if configfile: overwrite_config.update(load_configfile(configfile)) if config: overwrite_config.update(config) if workdir: olddir = os.getcwd() if not os.path.exists(workdir): logger.info( "Creating specified working directory {}.".format(workdir)) os.makedirs(workdir) workdir = os.path.abspath(workdir) os.chdir(workdir) workflow = Workflow(snakefile=snakefile, snakemakepath=snakemakepath, jobscript=jobscript, overwrite_shellcmd=overwrite_shellcmd, overwrite_config=overwrite_config, overwrite_workdir=workdir, overwrite_configfile=configfile, overwrite_clusterconfig=cluster_config, config_args=config_args, debug=debug) if standalone: try: # set the process group os.setpgrp() except: # ignore: if it does not work we can still work without it pass success = True try: workflow.include(snakefile, overwrite_first_rule=True, print_compilation=print_compilation) workflow.check() if not print_compilation: if listrules: workflow.list_rules() elif list_target_rules: workflow.list_rules(only_targets=True) elif list_resources: workflow.list_resources() else: # if not printdag and not printrulegraph: # handle subworkflows subsnakemake = partial(snakemake, cores=cores, nodes=nodes, local_cores=local_cores, resources=resources, dryrun=dryrun, touch=touch, printreason=printreason, printshellcmds=printshellcmds, nocolor=nocolor, quiet=quiet, keepgoing=keepgoing, cluster=cluster, cluster_sync=cluster_sync, drmaa=drmaa, jobname=jobname, immediate_submit=immediate_submit, standalone=standalone, ignore_ambiguity=ignore_ambiguity, snakemakepath=snakemakepath, lock=lock, unlock=unlock, cleanup_metadata=cleanup_metadata, force_incomplete=force_incomplete, ignore_incomplete=ignore_incomplete, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, verbose=verbose, notemp=notemp, nodeps=nodeps, jobscript=jobscript, timestamp=timestamp, greediness=greediness, no_hooks=no_hooks, overwrite_shellcmd=overwrite_shellcmd, config=config, config_args=config_args, keep_logger=True, keep_shadow=True) success = workflow.execute( targets=targets, dryrun=dryrun, touch=touch, cores=cores, nodes=nodes, local_cores=local_cores, forcetargets=forcetargets, forceall=forceall, forcerun=forcerun, prioritytargets=prioritytargets, until=until, omit_from=omit_from, quiet=quiet, keepgoing=keepgoing, printshellcmds=printshellcmds, printreason=printreason, printrulegraph=printrulegraph, printdag=printdag, cluster=cluster, cluster_sync=cluster_sync, jobname=jobname, drmaa=drmaa, printd3dag=printd3dag, immediate_submit=immediate_submit, ignore_ambiguity=ignore_ambiguity, stats=stats, force_incomplete=force_incomplete, ignore_incomplete=ignore_incomplete, list_version_changes=list_version_changes, list_code_changes=list_code_changes, list_input_changes=list_input_changes, list_params_changes=list_params_changes, summary=summary, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, wait_for_files=wait_for_files, detailed_summary=detailed_summary, nolock=not lock, unlock=unlock, resources=resources, notemp=notemp, nodeps=nodeps, keep_target_files=keep_target_files, keep_shadow=keep_shadow, cleanup_metadata=cleanup_metadata, subsnakemake=subsnakemake, updated_files=updated_files, allowed_rules=allowed_rules, greediness=greediness, no_hooks=no_hooks) except BrokenPipeError: # ignore this exception and stop. It occurs if snakemake output is piped into less and less quits before reading the whole output. # in such a case, snakemake shall stop scheduling and quit with error 1 success = False except (Exception, BaseException) as ex: print_exception(ex, workflow.linemaps) success = False if workdir: os.chdir(olddir) if workflow.persistence: workflow.persistence.unlock() if not keep_logger: logger.cleanup() return success def parse_resources(args): resources = dict() if args.resources is not None: valid = re.compile("[a-zA-Z_]\w*$") for res in args.resources: try: res, val = res.split("=") except ValueError: raise ValueError( "Resources have to be defined as name=value pairs.") if not valid.match(res): raise ValueError( "Resource definition must start with a valid identifier.") try: val = int(val) except ValueError: raise ValueError( "Resource definiton must contain an integer after the identifier.") if res == "_cores": raise ValueError( "Resource _cores is already defined internally. Use a different name.") resources[res] = val return resources def parse_config(args): parsers = [int, float, eval, str] config = dict() if args.config is not None: valid = re.compile("[a-zA-Z_]\w*$") for entry in args.config: try: key, val = entry.split("=", 1) except ValueError: raise ValueError( "Config entries have to be defined as name=value pairs.") if not valid.match(key): raise ValueError( "Config entry must start with a valid identifier.") v = None for parser in parsers: try: v = parser(val) # avoid accidental interpretation as function if not isinstance(v, callable): break except: pass assert v is not None config[key] = v return config def get_argument_parser(): parser = argparse.ArgumentParser( description="Snakemake is a Python based language and execution " "environment for GNU Make-like workflows.") parser.add_argument("target", nargs="*", default=None, help="Targets to build. May be rules or files.") parser.add_argument("--snakefile", "-s", metavar="FILE", default="Snakefile", help="The workflow definition in a snakefile.") parser.add_argument( "--gui", nargs="?", const="8000", metavar="PORT", type=int, help="Serve an HTML based user interface to the given port " "(default: 8000). If possible, a browser window is opened.") parser.add_argument( "--cores", "--jobs", "-j", action="store", const=multiprocessing.cpu_count(), nargs="?", metavar="N", type=int, help=("Use at most N cores in parallel (default: 1). " "If N is omitted, the limit is set to the number of " "available cores.")) parser.add_argument( "--local-cores", action="store", default=multiprocessing.cpu_count(), metavar="N", type=int, help= ("In cluster mode, use at most N cores of the host machine in parallel " " (default: number of CPU cores of the host). The cores are used to execute " "local rules. This option is ignored when not in cluster mode.")) parser.add_argument( "--resources", "--res", nargs="*", metavar="NAME=INT", help=("Define additional resources that shall constrain the scheduling " "analogously to threads (see above). A resource is defined as " "a name and an integer value. E.g. --resources gpu=1. Rules can " "use resources by defining the resource keyword, e.g. " "resources: gpu=1. If now two rules require 1 of the resource " "'gpu' they won't be run in parallel by the scheduler.")) parser.add_argument( "--config", "-C", nargs="*", metavar="KEY=VALUE", help= ("Set or overwrite values in the workflow config object. " "The workflow config object is accessible as variable config inside " "the workflow. Default values can be set by providing a JSON file " "(see Documentation).")) parser.add_argument( "--configfile", metavar="FILE", help= ("Specify or overwrite the config file of the workflow (see the docs). " "Values specified in JSON or YAML format are available in the global config " "dictionary inside the workflow.")) parser.add_argument("--list", "-l", action="store_true", help="Show availiable rules in given Snakefile.") parser.add_argument("--list-target-rules", "--lt", action="store_true", help="Show available target rules in given Snakefile.") parser.add_argument("--directory", "-d", metavar="DIR", action="store", help=("Specify working directory (relative paths in " "the snakefile will use this as their origin).")) parser.add_argument("--dryrun", "-n", action="store_true", help="Do not execute anything.") parser.add_argument( "--printshellcmds", "-p", action="store_true", help="Print out the shell commands that will be executed.") parser.add_argument( "--dag", action="store_true", help="Do not execute anything and print the directed " "acyclic graph of jobs in the dot language. Recommended " "use on Unix systems: snakemake --dag | dot | display") parser.add_argument( "--rulegraph", action="store_true", help="Do not execute anything and print the dependency graph " "of rules in the dot language. This will be less " "crowded than above DAG of jobs, but also show less information. " "Note that each rule is displayed once, hence the displayed graph will be " "cyclic if a rule appears in several steps of the workflow. " "Use this if above option leads to a DAG that is too large. " "Recommended use on Unix systems: snakemake --rulegraph | dot | display") parser.add_argument("--d3dag", action="store_true", help="Print the DAG in D3.js compatible JSON format.") parser.add_argument( "--summary", "-S", action="store_true", help="Print a summary of all files created by the workflow. The " "has the following columns: filename, modification time, " "rule version, status, plan.\n" "Thereby rule version contains the version" "the file was created with (see the version keyword of rules), and " "status denotes whether the file is missing, its input files are " "newer or if version or implementation of the rule changed since " "file creation. Finally the last column denotes whether the file " "will be updated or created during the next workflow execution.") parser.add_argument( "--detailed-summary", "-D", action="store_true", help="Print a summary of all files created by the workflow. The " "has the following columns: filename, modification time, " "rule version, input file(s), shell command, status, plan.\n" "Thereby rule version contains the version" "the file was created with (see the version keyword of rules), and " "status denotes whether the file is missing, its input files are " "newer or if version or implementation of the rule changed since " "file creation. The input file and shell command columns are self" "explanatory. Finally the last column denotes whether the file " "will be updated or created during the next workflow execution.") parser.add_argument( "--touch", "-t", action="store_true", help=("Touch output files (mark them up to date without really " "changing them) instead of running their commands. This is " "used to pretend that the rules were executed, in order to " "fool future invocations of snakemake. Fails if a file does " "not yet exist.")) parser.add_argument("--keep-going", "-k", action="store_true", help="Go on with independent jobs if a job fails.") parser.add_argument( "--force", "-f", action="store_true", help=("Force the execution of the selected target or the first rule " "regardless of already created output.")) parser.add_argument( "--forceall", "-F", action="store_true", help=("Force the execution of the selected (or the first) rule and " "all rules it is dependent on regardless of already created " "output.")) parser.add_argument( "--forcerun", "-R", nargs="+", metavar="TARGET", help=("Force the re-execution or creation of the given rules or files." " Use this option if you changed a rule and want to have all its " "output in your workflow updated.")) parser.add_argument( "--prioritize", "-P", nargs="+", metavar="TARGET", help=("Tell the scheduler to assign creation of given targets " "(and all their dependencies) highest priority. (EXPERIMENTAL)")) parser.add_argument( "--until", "-U", nargs="+", metavar="TARGET", help=("Runs the pipeline until it reaches the specified rules or " "files. Only runs jobs that are dependencies of the specified " "rule or files, does not run sibling DAGs. ")) parser.add_argument( "--omit-from", "-O", nargs="+", metavar="TARGET", help=("Prevent the execution or creation of the given rules or files " "as well as any rules or files that are downstream of these targets " "in the DAG. Also runs jobs in sibling DAGs that are independent of the " "rules or files specified here.")) parser.add_argument( "--allow-ambiguity", "-a", action="store_true", help=("Don't check for ambiguous rules and simply use the first if " "several can produce the same file. This allows the user to " "prioritize rules by their order in the snakefile.")) # TODO extend below description to explain the wildcards that can be used cluster_group = parser.add_mutually_exclusive_group() cluster_group.add_argument( "--cluster", "-c", metavar="CMD", help= ("Execute snakemake rules with the given submit command, " "e.g. qsub. Snakemake compiles jobs into scripts that are " "submitted to the cluster with the given command, once all input " "files for a particular job are present.\n" "The submit command can be decorated to make it aware of certain " "job properties (input, output, params, wildcards, log, threads " "and dependencies (see the argument below)), e.g.:\n" "$ snakemake --cluster 'qsub -pe threaded {threads}'.")), cluster_group.add_argument( "--cluster-sync", metavar="CMD", help= ("cluster submission command will block, returning the remote exit" "status upon remote termination (for example, this should be used" "if the cluster command is 'qsub -sync y' (SGE)")), cluster_group.add_argument( "--drmaa", nargs="?", const="", metavar="ARGS", help="Execute snakemake on a cluster accessed via DRMAA, " "Snakemake compiles jobs into scripts that are " "submitted to the cluster with the given command, once all input " "files for a particular job are present. ARGS can be used to " "specify options of the underlying cluster system, " "thereby using the job properties input, output, params, wildcards, log, " "threads and dependencies, e.g.: " "--drmaa ' -pe threaded {threads}'. Note that ARGS must be given in quotes and " "with a leading whitespace.") parser.add_argument( "--cluster-config", "-u", metavar="FILE", help= ("A JSON or YAML file that defines the wildcards used in 'cluster'" "for specific rules, instead of having them specified in the Snakefile." "For example, for rule 'job' you may define: " "{ 'job' : { 'time' : '24:00:00' } } " "to specify the time for rule 'job'.\n")), parser.add_argument( "--immediate-submit", "--is", action="store_true", help="Immediately submit all jobs to the cluster instead of waiting " "for present input files. This will fail, unless you make " "the cluster aware of job dependencies, e.g. via:\n" "$ snakemake --cluster 'sbatch --dependency {dependencies}.\n" "Assuming that your submit script (here sbatch) outputs the " "generated job id to the first stdout line, {dependencies} will " "be filled with space separated job ids this job depends on.") parser.add_argument( "--jobscript", "--js", metavar="SCRIPT", help="Provide a custom job script for submission to the cluster. " "The default script resides as 'jobscript.sh' in the " "installation directory.") parser.add_argument( "--jobname", "--jn", default="snakejob.{rulename}.{jobid}.sh", metavar="NAME", help="Provide a custom name for the jobscript that is submitted to the " "cluster (see --cluster). NAME is \"snakejob.{rulename}.{jobid}.sh\" " "per default. The wildcard {jobid} has to be present in the name.") parser.add_argument("--reason", "-r", action="store_true", help="Print the reason for each executed rule.") parser.add_argument( "--stats", metavar="FILE", help= "Write stats about Snakefile execution in JSON format to the given file.") parser.add_argument("--nocolor", action="store_true", help="Do not use a colored output.") parser.add_argument("--quiet", "-q", action="store_true", help="Do not output any progress or rule information.") parser.add_argument("--nolock", action="store_true", help="Do not lock the working directory") parser.add_argument("--unlock", action="store_true", help="Remove a lock on the working directory.") parser.add_argument( "--cleanup-metadata", "--cm", nargs="*", metavar="FILE", help="Cleanup the metadata " "of given files. That means that snakemake removes any tracked " "version info, and any marks that files are incomplete.") parser.add_argument( "--rerun-incomplete", "--ri", action="store_true", help="Re-run all " "jobs the output of which is recognized as incomplete.") parser.add_argument("--ignore-incomplete", "--ii", action="store_true", help="Ignore " "any incomplete jobs.") parser.add_argument( "--list-version-changes", "--lv", action="store_true", help="List all output files that have been created with " "a different version (as determined by the version keyword).") parser.add_argument( "--list-code-changes", "--lc", action="store_true", help= "List all output files for which the rule body (run or shell) have " "changed in the Snakefile.") parser.add_argument( "--list-input-changes", "--li", action="store_true", help= "List all output files for which the defined input files have changed " "in the Snakefile (e.g. new input files were added in the rule " "definition or files were renamed). For listing input file " "modification in the filesystem, use --summary.") parser.add_argument( "--list-params-changes", "--lp", action="store_true", help="List all output files for which the defined params have changed " "in the Snakefile.") parser.add_argument( "--latency-wait", "--output-wait", "-w", type=int, default=5, metavar="SECONDS", help= "Wait given seconds if an output file of a job is not present after " "the job finished. This helps if your filesystem " "suffers from latency (default 5).") parser.add_argument( "--wait-for-files", nargs="*", metavar="FILE", help="Wait --latency-wait seconds for these " "files to be present before executing the workflow. " "This option is used internally to handle filesystem latency in cluster " "environments.") parser.add_argument( "--benchmark-repeats", type=int, default=1, metavar="N", help="Repeat a job N times if marked for benchmarking (default 1).") parser.add_argument( "--notemp", "--nt", action="store_true", help="Ignore temp() declarations. This is useful when running only " "a part of the workflow, since temp() would lead to deletion of " "probably needed files by other parts of the workflow.") parser.add_argument( "--keep-target-files", action="store_true", help= "Do not adjust the paths of given target files relative to the working directory.") parser.add_argument( "--keep-shadow", action="store_true", help= "Do not delete the shadow directory on snakemake startup.") parser.add_argument( "--allowed-rules", nargs="+", help= "Only use given rules. If omitted, all rules in Snakefile are used.") parser.add_argument('--timestamp', '-T', action='store_true', help='Add a timestamp to all logging output') parser.add_argument( "--greediness", type=float, default=None, help="Set the greediness of scheduling. This value between 0 and 1 " "determines how careful jobs are selected for execution. The default " "value (1.0) provides the best speed and still acceptable scheduling " "quality.") parser.add_argument( "--no-hooks", action="store_true", help="Do not invoke onsuccess or onerror hooks after execution.") parser.add_argument( "--print-compilation", action="store_true", help="Print the python representation of the workflow.") parser.add_argument( "--overwrite-shellcmd", help="Provide a shell command that shall be executed instead of those " "given in the workflow. " "This is for debugging purposes only.") parser.add_argument("--verbose", action="store_true", help="Print debugging output.") parser.add_argument("--debug", action="store_true", help="Allow to debug rules with e.g. PDB. This flag " "allows to set breakpoints in run blocks.") parser.add_argument( "--profile", metavar="FILE", help= "Profile Snakemake and write the output to FILE. This requires yappi " "to be installed.") parser.add_argument( "--bash-completion", action="store_true", help="Output code to register bash completion for snakemake. Put the " "following in your .bashrc (including the accents): " "`snakemake --bash-completion` or issue it in an open terminal " "session.") parser.add_argument("--version", "-v", action="version", version=__version__) return parser def main(): parser = get_argument_parser() args = parser.parse_args() if args.bash_completion: cmd = b"complete -o bashdefault -C snakemake-bash-completion snakemake" sys.stdout.buffer.write(cmd) sys.exit(0) snakemakepath = sys.argv[0] try: resources = parse_resources(args) config = parse_config(args) except ValueError as e: print(e, file=sys.stderr) print("", file=sys.stderr) parser.print_help() sys.exit(1) if (args.cluster or args.cluster_sync or args.drmaa): if args.cores is None: if args.dryrun: args.cores = 1 else: print( "Error: you need to specify the maximum number of jobs to " "be queued or executed at the same time with --jobs.", file=sys.stderr) sys.exit(1) elif args.cores is None: args.cores = 1 if args.profile: import yappi yappi.start() if args.gui is not None: try: import snakemake.gui as gui except ImportError: print("Error: GUI needs Flask to be installed. Install " "with easy_install or contact your administrator.", file=sys.stderr) sys.exit(1) _logging.getLogger("werkzeug").setLevel(_logging.ERROR) _snakemake = partial(snakemake, os.path.abspath(args.snakefile), snakemakepath=snakemakepath) gui.register(_snakemake, args) url = "http://127.0.0.1:{}".format(args.gui) print("Listening on {}.".format(url), file=sys.stderr) def open_browser(): try: webbrowser.open(url) except: pass print("Open this address in your browser to access the GUI.", file=sys.stderr) threading.Timer(0.5, open_browser).start() success = True try: gui.app.run(debug=False, threaded=True, port=args.gui) except (KeyboardInterrupt, SystemExit): # silently close pass else: success = snakemake(args.snakefile, listrules=args.list, list_target_rules=args.list_target_rules, cores=args.cores, nodes=args.cores, resources=resources, config=config, configfile=args.configfile, config_args=args.config, workdir=args.directory, targets=args.target, dryrun=args.dryrun, printshellcmds=args.printshellcmds, printreason=args.reason, printdag=args.dag, printrulegraph=args.rulegraph, printd3dag=args.d3dag, touch=args.touch, forcetargets=args.force, forceall=args.forceall, forcerun=args.forcerun, prioritytargets=args.prioritize, until=args.until, omit_from=args.omit_from, stats=args.stats, nocolor=args.nocolor, quiet=args.quiet, keepgoing=args.keep_going, cluster=args.cluster, cluster_config=args.cluster_config, cluster_sync=args.cluster_sync, drmaa=args.drmaa, jobname=args.jobname, immediate_submit=args.immediate_submit, standalone=True, ignore_ambiguity=args.allow_ambiguity, snakemakepath=snakemakepath, lock=not args.nolock, unlock=args.unlock, cleanup_metadata=args.cleanup_metadata, force_incomplete=args.rerun_incomplete, ignore_incomplete=args.ignore_incomplete, list_version_changes=args.list_version_changes, list_code_changes=args.list_code_changes, list_input_changes=args.list_input_changes, list_params_changes=args.list_params_changes, summary=args.summary, detailed_summary=args.detailed_summary, print_compilation=args.print_compilation, verbose=args.verbose, debug=args.debug, jobscript=args.jobscript, notemp=args.notemp, timestamp=args.timestamp, greediness=args.greediness, no_hooks=args.no_hooks, overwrite_shellcmd=args.overwrite_shellcmd, latency_wait=args.latency_wait, benchmark_repeats=args.benchmark_repeats, wait_for_files=args.wait_for_files, keep_target_files=args.keep_target_files, keep_shadow=args.keep_shadow, allowed_rules=args.allowed_rules) if args.profile: with open(args.profile, "w") as out: profile = yappi.get_func_stats() profile.sort("totaltime") profile.print_all(out=out) sys.exit(0 if success else 1) def bash_completion(snakefile="Snakefile"): if not len(sys.argv) >= 2: print( "Calculate bash completion for snakemake. This tool shall not be invoked by hand.") sys.exit(1) def print_candidates(candidates): if candidates: candidates = sorted(set(candidates)) ## Use bytes for avoiding '^M' under Windows. sys.stdout.buffer.write(b'\n'.join(s.encode() for s in candidates)) prefix = sys.argv[2] if prefix.startswith("-"): print_candidates(action.option_strings[0] for action in get_argument_parser()._actions if action.option_strings and action.option_strings[0].startswith(prefix)) else: files = glob.glob("{}*".format(prefix)) if files: print_candidates(files) elif os.path.exists(snakefile): workflow = Workflow(snakefile=snakefile, snakemakepath="snakemake") workflow.include(snakefile) print_candidates([file for file in workflow.concrete_files if file.startswith(prefix)] + [rule.name for rule in workflow.rules if rule.name.startswith(prefix)]) sys.exit(0) snakemake-snakemake-4c7c76effe4d/snakemake/dag.py000066400000000000000000001160001265064562200220150ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import shutil import textwrap import time from collections import defaultdict, Counter from itertools import chain, combinations, filterfalse, product, groupby from functools import partial, lru_cache from inspect import isfunction, ismethod from operator import itemgetter, attrgetter from snakemake.io import IOFile, _IOFile, PeriodicityDetector, wait_for_files, is_flagged, contains_wildcard from snakemake.jobs import Job, Reason from snakemake.exceptions import RuleException, MissingInputException from snakemake.exceptions import MissingRuleException, AmbiguousRuleException from snakemake.exceptions import CyclicGraphException, MissingOutputException from snakemake.exceptions import IncompleteFilesException from snakemake.exceptions import PeriodicWildcardError from snakemake.exceptions import RemoteFileException from snakemake.exceptions import UnexpectedOutputException, InputFunctionException from snakemake.logging import logger from snakemake.output_index import OutputIndex class DAG: def __init__(self, workflow, rules=None, dryrun=False, targetfiles=None, targetrules=None, forceall=False, forcerules=None, forcefiles=None, priorityfiles=None, priorityrules=None, untilfiles=None, untilrules=None, omitfiles=None, omitrules=None, ignore_ambiguity=False, force_incomplete=False, ignore_incomplete=False, notemp=False): self.dryrun = dryrun self.dependencies = defaultdict(partial(defaultdict, set)) self.depending = defaultdict(partial(defaultdict, set)) self._needrun = set() self._priority = dict() self._downstream_size = dict() self._temp_input_count = dict() self._reason = defaultdict(Reason) self._finished = set() self._dynamic = set() self._len = 0 self.workflow = workflow self.rules = set(rules) self.ignore_ambiguity = ignore_ambiguity self.targetfiles = targetfiles self.targetrules = targetrules self.priorityfiles = priorityfiles self.priorityrules = priorityrules self.targetjobs = set() self.prioritytargetjobs = set() self._ready_jobs = set() self.notemp = notemp self._jobid = dict() self.forcerules = set() self.forcefiles = set() self.untilrules = set() self.untilfiles = set() self.omitrules = set() self.omitfiles = set() self.updated_subworkflow_files = set() if forceall: self.forcerules.update(self.rules) elif forcerules: self.forcerules.update(forcerules) if forcefiles: self.forcefiles.update(forcefiles) if untilrules: # keep only the rule names self.untilrules.update(set(rule.name for rule in untilrules)) if untilfiles: self.untilfiles.update(untilfiles) if omitrules: self.omitrules.update(set(rule.name for rule in omitrules)) if omitfiles: self.omitfiles.update(omitfiles) self.omitforce = set() self.force_incomplete = force_incomplete self.ignore_incomplete = ignore_incomplete self.periodic_wildcard_detector = PeriodicityDetector() self.update_output_index() def init(self): """ Initialise the DAG. """ for job in map(self.rule2job, self.targetrules): job = self.update([job]) self.targetjobs.add(job) for file in self.targetfiles: job = self.update(self.file2jobs(file), file=file) self.targetjobs.add(job) self.update_needrun() self.set_until_jobs() self.delete_omitfrom_jobs() def update_output_index(self): self.output_index = OutputIndex(self.rules) def check_incomplete(self): if not self.ignore_incomplete: incomplete = self.incomplete_files if incomplete: if self.force_incomplete: logger.debug("Forcing incomplete files:") logger.debug("\t" + "\n\t".join(incomplete)) self.forcefiles.update(incomplete) else: raise IncompleteFilesException(incomplete) def check_dynamic(self): for job in filter(lambda job: ( job.dynamic_output and not self.needrun(job) ), self.jobs): self.update_dynamic(job) @property def dynamic_output_jobs(self): return (job for job in self.jobs if job.dynamic_output) @property def jobs(self): """ All jobs in the DAG. """ for job in self.bfs(self.dependencies, *self.targetjobs): yield job @property def needrun_jobs(self): """ Jobs that need to be executed. """ for job in filter(self.needrun, self.bfs(self.dependencies, *self.targetjobs, stop=self.noneedrun_finished)): yield job @property def local_needrun_jobs(self): return filter(lambda job: self.workflow.is_local(job.rule), self.needrun_jobs) @property def finished_jobs(self): """ Jobs that have been executed. """ for job in filter(self.finished, self.bfs(self.dependencies, *self.targetjobs)): yield job @property def ready_jobs(self): """ Jobs that are ready to execute. """ return self._ready_jobs def ready(self, job): """ Return whether a given job is ready to execute. """ return job in self._ready_jobs def needrun(self, job): """ Return whether a given job needs to be executed. """ return job in self._needrun def priority(self, job): return self._priority[job] def downstream_size(self, job): return self._downstream_size[job] def temp_input_count(self, job): return self._temp_input_count[job] def noneedrun_finished(self, job): """ Return whether a given job is finished or was not required to run at all. """ return not self.needrun(job) or self.finished(job) def reason(self, job): """ Return the reason of the job execution. """ return self._reason[job] def finished(self, job): """ Return whether a job is finished. """ return job in self._finished def dynamic(self, job): """ Return whether a job is dynamic (i.e. it is only a placeholder for those that are created after the job with dynamic output has finished. """ return job in self._dynamic def requested_files(self, job): """ Return the files a job requests. """ return set(*self.depending[job].values()) @property def incomplete_files(self): return list(chain(*( job.output for job in filter(self.workflow.persistence.incomplete, filterfalse(self.needrun, self.jobs)) ))) @property def newversion_files(self): return list(chain(*( job.output for job in filter(self.workflow.persistence.newversion, self.jobs) ))) def missing_temp(self, job): """ Return whether a temp file that is input of the given job is missing. """ for job_, files in self.depending[job].items(): if self.needrun(job_) and any(not f.exists for f in files): return True return False def check_output(self, job, wait=3): """ Raise exception if output files of job are missing. """ try: wait_for_files(job.expanded_shadowed_output, latency_wait=wait) except IOError as e: raise MissingOutputException(str(e), rule=job.rule) input_maxtime = job.input_maxtime if input_maxtime is not None: output_mintime = job.output_mintime if output_mintime is not None and output_mintime < input_maxtime: raise RuleException( "Output files {} are older than input " "files. Did you extract an archive? Make sure that output " "files have a more recent modification date than the " "archive, e.g. by using 'touch'.".format( ", ".join(job.expanded_output)), rule=job.rule) def unshadow_output(self, job): """ Move files from shadow directory to real output paths. """ if not job.shadow_dir or not job.expanded_output: return cwd = os.getcwd() for real_output in job.expanded_output: shadow_output = os.path.join(job.shadow_dir, real_output) if os.path.realpath(shadow_output) == os.path.realpath(real_output): continue logger.info("Moving shadow output {} to destination {}".format( shadow_output, real_output)) shutil.move(shadow_output, real_output) shutil.rmtree(job.shadow_dir) def check_periodic_wildcards(self, job): """ Raise an exception if a wildcard of the given job appears to be periodic, indicating a cyclic dependency. """ for wildcard, value in job.wildcards_dict.items(): periodic_substring = self.periodic_wildcard_detector.is_periodic( value) if periodic_substring is not None: raise PeriodicWildcardError( "The value {} in wildcard {} is periodically repeated ({}). " "This would lead to an infinite recursion. " "To avoid this, e.g. restrict the wildcards in this rule to certain values.".format( periodic_substring, wildcard, value), rule=job.rule) def handle_protected(self, job): """ Write-protect output files that are marked with protected(). """ for f in job.expanded_output: if f in job.protected_output: logger.info("Write-protecting output file {}.".format(f)) f.protect() def handle_touch(self, job): """ Touches those output files that are marked for touching. """ for f in job.expanded_output: if f in job.touch_output: logger.info("Touching output file {}.".format(f)) f.touch_or_create() def temp_input(self, job): for job_, files in self.dependencies[job].items(): for f in filter(job_.temp_output.__contains__, files): yield f def handle_temp(self, job): """ Remove temp files if they are no longer needed. """ if self.notemp: return needed = lambda job_, f: any( f in files for j, files in self.depending[job_].items() if not self.finished(j) and self.needrun(j) and j != job) def unneeded_files(): for job_, files in self.dependencies[job].items(): for f in job_.temp_output & files: if not needed(job_, f): yield f for f in filterfalse(partial(needed, job), job.temp_output): if not f in self.targetfiles: yield f for f in unneeded_files(): logger.info("Removing temporary output file {}.".format(f)) f.remove() def handle_remote(self, job): """ Remove local files if they are no longer needed, and upload to S3. """ needed = lambda job_, f: any( f in files for j, files in self.depending[job_].items() if not self.finished(j) and self.needrun(j) and j != job) def unneeded_files(): putative = lambda f: f.is_remote and not f.protected and not f.should_keep_local generated_input = set() for job_, files in self.dependencies[job].items(): generated_input |= files for f in filter(putative, files): if not needed(job_, f): yield f for f in filter(putative, job.output): if not needed(job, f) and not f in self.targetfiles: for f_ in job.expand_dynamic(f): yield f for f in filter(putative, job.input): # TODO what about remote inputs that are used by multiple jobs? if f not in generated_input: yield f for f in job.expanded_output: if f.is_remote and not f.exists_remote: f.upload_to_remote() remote_mtime = f.mtime # immediately force local mtime to match remote, # since conversions from S3 headers are not 100% reliable # without this, newness comparisons may fail down the line f.touch(times=(remote_mtime, remote_mtime)) if not f.exists_remote: raise RemoteFileException( "The file upload was attempted, but it does not " "exist on remote. Check that your credentials have " "read AND write permissions.") for f in unneeded_files(): logger.info("Removing local output file: {}".format(f)) f.remove() job.rmdir_empty_remote_dirs() def jobid(self, job): if job not in self._jobid: self._jobid[job] = len(self._jobid) return self._jobid[job] def update(self, jobs, file=None, visited=None, skip_until_dynamic=False): """ Update the DAG by adding given jobs and their dependencies. """ if visited is None: visited = set() producer = None exceptions = list() jobs = sorted(jobs, reverse=not self.ignore_ambiguity) cycles = list() for job in jobs: if file in job.input: cycles.append(job) continue if job in visited: cycles.append(job) continue try: self.check_periodic_wildcards(job) self.update_(job, visited=set(visited), skip_until_dynamic=skip_until_dynamic) # TODO this might fail if a rule discarded here is needed # elsewhere if producer: if job < producer or self.ignore_ambiguity: break elif producer is not None: raise AmbiguousRuleException(file, job, producer) producer = job except (MissingInputException, CyclicGraphException, PeriodicWildcardError) as ex: exceptions.append(ex) if producer is None: if cycles: job = cycles[0] raise CyclicGraphException(job.rule, file, rule=job.rule) if exceptions: raise exceptions[0] return producer def update_(self, job, visited=None, skip_until_dynamic=False): """ Update the DAG by adding the given job and its dependencies. """ if job in self.dependencies: return if visited is None: visited = set() visited.add(job) dependencies = self.dependencies[job] potential_dependencies = self.collect_potential_dependencies( job).items() skip_until_dynamic = skip_until_dynamic and not job.dynamic_output missing_input = job.missing_input producer = dict() exceptions = dict() for file, jobs in potential_dependencies: try: producer[file] = self.update( jobs, file=file, visited=visited, skip_until_dynamic=skip_until_dynamic or file in job.dynamic_input) except (MissingInputException, CyclicGraphException, PeriodicWildcardError) as ex: if file in missing_input: self.delete_job(job, recursive=False) # delete job from tree raise ex for file, job_ in producer.items(): dependencies[job_].add(file) self.depending[job_][job].add(file) missing_input -= producer.keys() if missing_input: self.delete_job(job, recursive=False) # delete job from tree raise MissingInputException(job.rule, missing_input) if skip_until_dynamic: self._dynamic.add(job) def update_needrun(self): """ Update the information whether a job needs to be executed. """ def output_mintime(job): for job_ in self.bfs(self.depending, job): t = job_.output_mintime if t: return t def needrun(job): reason = self.reason(job) noinitreason = not reason updated_subworkflow_input = self.updated_subworkflow_files.intersection( job.input) if (job not in self.omitforce and job.rule in self.forcerules or not self.forcefiles.isdisjoint(job.output)): reason.forced = True elif updated_subworkflow_input: reason.updated_input.update(updated_subworkflow_input) elif job in self.targetjobs: # TODO find a way to handle added/removed input files here? if not job.output and not job.benchmark: if job.input: if job.rule.norun: reason.updated_input_run.update([f for f in job.input if not f.exists]) else: reason.nooutput = True else: reason.noio = True else: if job.rule in self.targetrules: missing_output = job.missing_output() else: missing_output = job.missing_output( requested=set(chain(*self.depending[job].values())) | self.targetfiles) reason.missing_output.update(missing_output) if not reason: output_mintime_ = output_mintime(job) if output_mintime_: updated_input = [ f for f in job.input if f.exists and f.is_newer(output_mintime_) ] reason.updated_input.update(updated_input) if noinitreason and reason: reason.derived = False return job reason = self.reason _needrun = self._needrun dependencies = self.dependencies depending = self.depending _needrun.clear() candidates = set(self.jobs) queue = list(filter(reason, map(needrun, candidates))) visited = set(queue) while queue: job = queue.pop(0) _needrun.add(job) for job_, files in dependencies[job].items(): missing_output = job_.missing_output(requested=files) reason(job_).missing_output.update(missing_output) if missing_output and not job_ in visited: visited.add(job_) queue.append(job_) for job_, files in depending[job].items(): if job_ in candidates: reason(job_).updated_input_run.update(files) if not job_ in visited: visited.add(job_) queue.append(job_) self._len = len(_needrun) def in_until(self, job): return (job.rule.name in self.untilrules or not self.untilfiles.isdisjoint(job.output)) def in_omitfrom(self, job): return (job.rule.name in self.omitrules or not self.omitfiles.isdisjoint(job.output)) def until_jobs(self): 'Returns a generator of jobs specified by untiljobs' return (job for job in self.jobs if self.in_until(job)) def omitfrom_jobs(self): 'Returns a generator of jobs specified by omitfromjobs' return (job for job in self.jobs if self.in_omitfrom(job)) def downstream_of_omitfrom(self): "Returns the downstream of --omit-from rules or files." return filter(lambda job: not self.in_omitfrom(job), self.bfs(self.depending, *self.omitfrom_jobs())) def delete_omitfrom_jobs(self): "Removes jobs downstream of jobs specified by --omit-from." if not self.omitrules and not self.omitfiles: return downstream_jobs = list(self.downstream_of_omitfrom()) # need to cast as list before deleting jobs for job in downstream_jobs: self.delete_job(job, recursive=False, add_dependencies=True) def set_until_jobs(self): "Removes jobs downstream of jobs specified by --omit-from." if not self.untilrules and not self.untilfiles: return self.targetjobs = set(self.until_jobs()) def update_priority(self): """ Update job priorities. """ prioritized = (lambda job: job.rule in self.priorityrules or not self.priorityfiles.isdisjoint(job.output)) for job in self.needrun_jobs: self._priority[job] = job.rule.priority for job in self.bfs(self.dependencies, *filter(prioritized, self.needrun_jobs), stop=self.noneedrun_finished): self._priority[job] = Job.HIGHEST_PRIORITY def update_ready(self): """ Update information whether a job is ready to execute. """ for job in filter(self.needrun, self.jobs): if not self.finished(job) and self._ready(job): self._ready_jobs.add(job) def update_downstream_size(self): for job in self.needrun_jobs: self._downstream_size[job] = sum( 1 for _ in self.bfs(self.depending, job, stop=self.noneedrun_finished)) - 1 def update_temp_input_count(self): for job in self.needrun_jobs: self._temp_input_count[job] = sum(1 for _ in self.temp_input(job)) def postprocess(self): self.update_needrun() self.update_priority() self.update_ready() self.update_downstream_size() self.update_temp_input_count() def _ready(self, job): return self._finished.issuperset( filter(self.needrun, self.dependencies[job])) def finish(self, job, update_dynamic=True): self._finished.add(job) try: self._ready_jobs.remove(job) except KeyError: pass # mark depending jobs as ready for job_ in self.depending[job]: if self.needrun(job_) and self._ready(job_): self._ready_jobs.add(job_) if update_dynamic and job.dynamic_output: logger.info("Dynamically updating jobs") newjob = self.update_dynamic(job) if newjob: # simulate that this job ran and was finished before self.omitforce.add(newjob) self._needrun.add(newjob) self._finished.add(newjob) self.postprocess() self.handle_protected(newjob) self.handle_touch(newjob) # add finished jobs to len as they are not counted after new postprocess self._len += len(self._finished) def update_dynamic(self, job): dynamic_wildcards = job.dynamic_wildcards if not dynamic_wildcards: # this happens e.g. in dryrun if output is not yet present return depending = list(filter(lambda job_: not self.finished(job_), self.bfs(self.depending, job))) newrule, non_dynamic_wildcards = job.rule.dynamic_branch( dynamic_wildcards, input=False) self.specialize_rule(job.rule, newrule) # no targetfile needed for job newjob = Job(newrule, self, format_wildcards=non_dynamic_wildcards) self.replace_job(job, newjob) for job_ in depending: if job_.dynamic_input: newrule_ = job_.rule.dynamic_branch(dynamic_wildcards) if newrule_ is not None: self.specialize_rule(job_.rule, newrule_) if not self.dynamic(job_): logger.debug("Updating job {}.".format(job_)) newjob_ = Job(newrule_, self, targetfile=job_.targetfile) unexpected_output = self.reason( job_).missing_output.intersection( newjob.existing_output) if unexpected_output: logger.warning( "Warning: the following output files of rule {} were not " "present when the DAG was created:\n{}".format( newjob_.rule, unexpected_output)) self.replace_job(job_, newjob_) return newjob def delete_job(self, job, recursive=True, add_dependencies=False): if job in self.targetjobs: self.targetjobs.remove(job) if add_dependencies: for _job in self.dependencies[job]: self.targetjobs.add(_job) for job_ in self.depending[job]: del self.dependencies[job_][job] del self.depending[job] for job_ in self.dependencies[job]: depending = self.depending[job_] del depending[job] if not depending and recursive: self.delete_job(job_) del self.dependencies[job] if job in self._needrun: self._len -= 1 self._needrun.remove(job) del self._reason[job] if job in self._finished: self._finished.remove(job) if job in self._dynamic: self._dynamic.remove(job) if job in self._ready_jobs: self._ready_jobs.remove(job) def replace_job(self, job, newjob): if job in self.targetjobs: self.targetjobs.remove(job) self.targetjobs.add(newjob) depending = list(self.depending[job].items()) if self.finished(job): self._finished.add(newjob) self.delete_job(job) self.update([newjob]) for job_, files in depending: if not job_.dynamic_input: self.dependencies[job_][newjob].update(files) self.depending[newjob][job_].update(files) def specialize_rule(self, rule, newrule): assert newrule is not None self.rules.add(newrule) self.update_output_index() def collect_potential_dependencies(self, job): dependencies = defaultdict(list) # use a set to circumvent multiple jobs for the same file # if user specified it twice file2jobs = self.file2jobs for file in set(job.input): # omit the file if it comes from a subworkflow if file in job.subworkflow_input: continue try: if file in job.dependencies: jobs = [Job(job.dependencies[file], self, targetfile=file)] else: jobs = file2jobs(file) dependencies[file].extend(jobs) except MissingRuleException as ex: pass return dependencies def bfs(self, direction, *jobs, stop=lambda job: False): queue = list(jobs) visited = set(queue) while queue: job = queue.pop(0) if stop(job): # stop criterion reached for this node continue yield job for job_, _ in direction[job].items(): if not job_ in visited: queue.append(job_) visited.add(job_) def level_bfs(self, direction, *jobs, stop=lambda job: False): queue = [(job, 0) for job in jobs] visited = set(jobs) while queue: job, level = queue.pop(0) if stop(job): # stop criterion reached for this node continue yield level, job level += 1 for job_, _ in direction[job].items(): if not job_ in visited: queue.append((job_, level)) visited.add(job_) def dfs(self, direction, *jobs, stop=lambda job: False, post=True): visited = set() for job in jobs: for job_ in self._dfs(direction, job, visited, stop=stop, post=post): yield job_ def _dfs(self, direction, job, visited, stop, post): if stop(job): return if not post: yield job for job_ in direction[job]: if not job_ in visited: visited.add(job_) for j in self._dfs(direction, job_, visited, stop, post): yield j if post: yield job def is_isomorph(self, job1, job2): if job1.rule != job2.rule: return False rule = lambda job: job.rule.name queue1, queue2 = [job1], [job2] visited1, visited2 = set(queue1), set(queue2) while queue1 and queue2: job1, job2 = queue1.pop(0), queue2.pop(0) deps1 = sorted(self.dependencies[job1], key=rule) deps2 = sorted(self.dependencies[job2], key=rule) for job1_, job2_ in zip(deps1, deps2): if job1_.rule != job2_.rule: return False if not job1_ in visited1 and not job2_ in visited2: queue1.append(job1_) visited1.add(job1_) queue2.append(job2_) visited2.add(job2_) elif not (job1_ in visited1 and job2_ in visited2): return False return True def all_longest_paths(self, *jobs): paths = defaultdict(list) def all_longest_paths(_jobs): for job in _jobs: if job in paths: continue deps = self.dependencies[job] if not deps: paths[job].append([job]) continue all_longest_paths(deps) for _job in deps: paths[job].extend(path + [job] for path in paths[_job]) all_longest_paths(jobs) return chain(*(paths[job] for job in jobs)) def new_wildcards(self, job): new_wildcards = set(job.wildcards.items()) for job_ in self.dependencies[job]: if not new_wildcards: return set() for wildcard in job_.wildcards.items(): new_wildcards.discard(wildcard) return new_wildcards def rule2job(self, targetrule): return Job(targetrule, self) def file2jobs(self, targetfile): rules = self.output_index.match(targetfile) jobs = [] exceptions = list() for rule in rules: if rule.is_producer(targetfile): try: jobs.append(Job(rule, self, targetfile=targetfile)) except InputFunctionException as e: exceptions.append(e) if not jobs: if exceptions: raise exceptions[0] raise MissingRuleException(targetfile) return jobs def rule_dot2(self): dag = defaultdict(list) visited = set() preselect = set() def preselect_parents(job): for parent in self.depending[job]: if parent in preselect: continue preselect.add(parent) preselect_parents(parent) def build_ruledag(job, key=lambda job: job.rule.name): if job in visited: return visited.add(job) deps = sorted(self.dependencies[job], key=key) deps = [(group[0] if preselect.isdisjoint(group) else preselect.intersection(group).pop()) for group in (list(g) for _, g in groupby(deps, key))] dag[job].extend(deps) preselect_parents(job) for dep in deps: build_ruledag(dep) for job in self.targetjobs: build_ruledag(job) return self._dot(dag.keys(), print_wildcards=False, print_types=False, dag=dag) def rule_dot(self): graph = defaultdict(set) for job in self.jobs: graph[job.rule].update(dep.rule for dep in self.dependencies[job]) return self._dot(graph) def dot(self): def node2style(job): if not self.needrun(job): return "rounded,dashed" if self.dynamic(job) or job.dynamic_input: return "rounded,dotted" return "rounded" def format_wildcard(wildcard): name, value = wildcard if _IOFile.dynamic_fill in value: value = "..." return "{}: {}".format(name, value) node2rule = lambda job: job.rule node2label = lambda job: "\\n".join(chain([ job.rule.name ], sorted(map(format_wildcard, self.new_wildcards(job))))) dag = {job: self.dependencies[job] for job in self.jobs} return self._dot(dag, node2rule=node2rule, node2style=node2style, node2label=node2label) def _dot(self, graph, node2rule=lambda node: node, node2style=lambda node: "rounded", node2label=lambda node: node): # color rules huefactor = 2 / (3 * len(self.rules)) rulecolor = { rule: "{:.2f} 0.6 0.85".format(i * huefactor) for i, rule in enumerate(self.rules) } # markup node_markup = '\t{}[label = "{}", color = "{}", style="{}"];'.format edge_markup = "\t{} -> {}".format # node ids ids = {node: i for i, node in enumerate(graph)} # calculate nodes nodes = [node_markup(ids[node], node2label(node), rulecolor[node2rule(node)], node2style(node)) for node in graph] # calculate edges edges = [edge_markup(ids[dep], ids[node]) for node, deps in graph.items() for dep in deps] return textwrap.dedent("""\ digraph snakemake_dag {{ graph[bgcolor=white, margin=0]; node[shape=box, style=rounded, fontname=sans, \ fontsize=10, penwidth=2]; edge[penwidth=2, color=grey]; {items} }}\ """).format(items="\n".join(nodes + edges)) def summary(self, detailed=False): if detailed: yield "output_file\tdate\trule\tversion\tinput_file(s)\tshellcmd\tstatus\tplan" else: yield "output_file\tdate\trule\tversion\tstatus\tplan" for job in self.jobs: output = job.rule.output if self.dynamic( job) else job.expanded_output for f in output: rule = self.workflow.persistence.rule(f) rule = "-" if rule is None else rule version = self.workflow.persistence.version(f) version = "-" if version is None else str(version) date = time.ctime(f.mtime) if f.exists else "-" pending = "update pending" if self.reason(job) else "no update" input = self.workflow.persistence.input(f) input = "-" if input is None else ",".join(input) shellcmd = self.workflow.persistence.shellcmd(f) shellcmd = "-" if shellcmd is None else shellcmd # remove new line characters, leading and trailing whitespace shellcmd = shellcmd.strip().replace("\n", "; ") status = "ok" if not f.exists: status = "missing" elif self.reason(job).updated_input: status = "updated input files" elif self.workflow.persistence.version_changed(job, file=f): status = "version changed to {}".format(job.rule.version) elif self.workflow.persistence.code_changed(job, file=f): status = "rule implementation changed" elif self.workflow.persistence.input_changed(job, file=f): status = "set of input files changed" elif self.workflow.persistence.params_changed(job, file=f): status = "params changed" if detailed: yield "\t".join((f, date, rule, version, input, shellcmd, status, pending)) else: yield "\t".join((f, date, rule, version, status, pending)) def d3dag(self, max_jobs=10000): def node(job): jobid = self.jobid(job) return { "id": jobid, "value": { "jobid": jobid, "label": job.rule.name, "rule": job.rule.name } } def edge(a, b): return {"u": self.jobid(a), "v": self.jobid(b)} jobs = list(self.jobs) if len(jobs) > max_jobs: logger.info( "Job-DAG is too large for visualization (>{} jobs).".format( max_jobs)) else: logger.d3dag(nodes=[node(job) for job in jobs], edges=[edge(dep, job) for job in jobs for dep in self.dependencies[job] if self.needrun(dep)]) def stats(self): rules = Counter() rules.update(job.rule for job in self.needrun_jobs) rules.update(job.rule for job in self.finished_jobs) yield "Job counts:" yield "\tcount\tjobs" for rule, count in sorted(rules.most_common(), key=lambda item: item[0].name): yield "\t{}\t{}".format(count, rule) yield "\t{}".format(len(self)) def __str__(self): return self.dot() def __len__(self): return self._len snakemake-snakemake-4c7c76effe4d/snakemake/decorators.py000066400000000000000000000007461265064562200234400ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import functools import inspect def dec_all_methods(decorator, prefix='test_'): def dec_class(cls): for name, m in inspect.getmembers(cls, inspect.isfunction): if prefix == None or name.startswith(prefix): setattr(cls, name, decorator(m)) return cls return dec_class snakemake-snakemake-4c7c76effe4d/snakemake/exceptions.py000066400000000000000000000267341265064562200234610ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import traceback from tokenize import TokenError from snakemake.logging import logger def format_error(ex, lineno, linemaps=None, snakefile=None, show_traceback=False): if linemaps is None: linemaps = dict() msg = str(ex) if linemaps and snakefile and snakefile in linemaps: lineno = linemaps[snakefile][lineno] if isinstance(ex, SyntaxError): msg = ex.msg location = (" in line {} of {}".format(lineno, snakefile) if lineno and snakefile else "") tb = "" if show_traceback: tb = "\n".join(format_traceback(cut_traceback(ex), linemaps=linemaps)) return '{}{}{}{}'.format(ex.__class__.__name__, location, ":\n" + msg if msg else ".", "\n{}".format(tb) if show_traceback and tb else "") def get_exception_origin(ex, linemaps): for file, lineno, _, _ in reversed(traceback.extract_tb(ex.__traceback__)): if file in linemaps: return lineno, file def cut_traceback(ex): snakemake_path = os.path.dirname(__file__) for line in traceback.extract_tb(ex.__traceback__): dir = os.path.dirname(line[0]) if not dir: dir = "." if not os.path.isdir(dir) or not os.path.samefile(snakemake_path, dir): yield line def format_traceback(tb, linemaps): for file, lineno, function, code in tb: if file in linemaps: lineno = linemaps[file][lineno] if code is not None: yield ' File "{}", line {}, in {}'.format(file, lineno, function) def log_verbose_traceback(ex): tb = "Full " + "".join(traceback.format_exception(type(ex), ex, ex.__traceback__)) logger.debug(tb) def print_exception(ex, linemaps): """ Print an error message for a given exception. Arguments ex -- the exception linemaps -- a dict of a dict that maps for each snakefile the compiled lines to source code lines in the snakefile. """ log_verbose_traceback(ex) if isinstance(ex, SyntaxError) or isinstance(ex, IndentationError): logger.error(format_error(ex, ex.lineno, linemaps=linemaps, snakefile=ex.filename, show_traceback=True)) return origin = get_exception_origin(ex, linemaps) if origin is not None: lineno, file = origin logger.error(format_error(ex, lineno, linemaps=linemaps, snakefile=file, show_traceback=True)) return elif isinstance(ex, TokenError): logger.error(format_error(ex, None, show_traceback=False)) elif isinstance(ex, MissingRuleException): logger.error(format_error(ex, None, linemaps=linemaps, snakefile=ex.filename, show_traceback=False)) elif isinstance(ex, RuleException): for e in ex._include + [ex]: if not e.omit: logger.error(format_error(e, e.lineno, linemaps=linemaps, snakefile=e.filename, show_traceback=True)) elif isinstance(ex, WorkflowError): logger.error(format_error(ex, ex.lineno, linemaps=linemaps, snakefile=ex.snakefile, show_traceback=True)) elif isinstance(ex, KeyboardInterrupt): logger.info("Cancelling snakemake on user request.") else: traceback.print_exception(type(ex), ex, ex.__traceback__) class WorkflowError(Exception): @staticmethod def format_args(args): for arg in args: if isinstance(arg, str): yield arg else: yield "{}: {}".format(arg.__class__.__name__, str(arg)) def __init__(self, *args, lineno=None, snakefile=None, rule=None): super().__init__("\n".join(self.format_args(args))) if rule is not None: self.lineno = rule.lineno self.snakefile = rule.snakefile else: self.lineno = lineno self.snakefile = snakefile self.rule = rule class WildcardError(WorkflowError): pass class RuleException(Exception): """ Base class for exception occuring withing the execution or definition of rules. """ def __init__(self, message=None, include=None, lineno=None, snakefile=None, rule=None): """ Creates a new instance of RuleException. Arguments message -- the exception message include -- iterable of other exceptions to be included lineno -- the line the exception originates snakefile -- the file the exception originates """ super(RuleException, self).__init__(message) self._include = set() if include: for ex in include: self._include.add(ex) self._include.update(ex._include) if rule is not None: if lineno is None: lineno = rule.lineno if snakefile is None: snakefile = rule.snakefile self._include = list(self._include) self.lineno = lineno self.filename = snakefile self.omit = not message @property def messages(self): return map(str, (ex for ex in self._include + [self] if not ex.omit)) class InputFunctionException(WorkflowError): pass class MissingOutputException(RuleException): pass class IOException(RuleException): def __init__(self, prefix, rule, files, include=None, lineno=None, snakefile=None): message = ("{} for rule {}:\n{}".format(prefix, rule, "\n".join(files)) if files else "") super().__init__(message=message, include=include, lineno=lineno, snakefile=snakefile, rule=rule) class MissingInputException(IOException): def __init__(self, rule, files, include=None, lineno=None, snakefile=None): super().__init__("Missing input files", rule, files, include, lineno=lineno, snakefile=snakefile) class PeriodicWildcardError(RuleException): pass class ProtectedOutputException(IOException): def __init__(self, rule, files, include=None, lineno=None, snakefile=None): super().__init__("Write-protected output files", rule, files, include, lineno=lineno, snakefile=snakefile) class UnexpectedOutputException(IOException): def __init__(self, rule, files, include=None, lineno=None, snakefile=None): super().__init__("Unexpectedly present output files " "(accidentally created by other rule?)", rule, files, include, lineno=lineno, snakefile=snakefile) class ImproperShadowException(RuleException): def __init__(self, rule, lineno=None, snakefile=None): super().__init__("Rule cannot shadow if using ThreadPoolExecutor", rule=rule, lineno=lineno, snakefile=snakefile) class AmbiguousRuleException(RuleException): def __init__(self, filename, job_a, job_b, lineno=None, snakefile=None): super().__init__( "Rules {job_a} and {job_b} are ambiguous for the file {f}.\n" "Expected input files:\n" "\t{job_a}: {job_a.input}\n" "\t{job_b}: {job_b.input}".format(job_a=job_a, job_b=job_b, f=filename), lineno=lineno, snakefile=snakefile) self.rule1, self.rule2 = job_a.rule, job_b.rule class CyclicGraphException(RuleException): def __init__(self, repeatedrule, file, rule=None): super().__init__("Cyclic dependency on rule {}.".format(repeatedrule), rule=rule) self.file = file class MissingRuleException(RuleException): def __init__(self, file, lineno=None, snakefile=None): super().__init__( "No rule to produce {} (if you use input functions make sure that they don't raise unexpected exceptions).".format( file), lineno=lineno, snakefile=snakefile) class UnknownRuleException(RuleException): def __init__(self, name, prefix="", lineno=None, snakefile=None): msg = "There is no rule named {}.".format(name) if prefix: msg = "{} {}".format(prefix, msg) super().__init__(msg, lineno=lineno, snakefile=snakefile) class NoRulesException(RuleException): def __init__(self, lineno=None, snakefile=None): super().__init__("There has to be at least one rule.", lineno=lineno, snakefile=snakefile) class IncompleteFilesException(RuleException): def __init__(self, files): super().__init__( "The files below seem to be incomplete. " "If you are sure that certain files are not incomplete, " "mark them as complete with\n\n" " snakemake --cleanup-metadata \n\n" "To re-generate the files rerun your command with the " "--rerun-incomplete flag.\nIncomplete files:\n{}".format( "\n".join(files))) class IOFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class RemoteFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class HTTPFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class FTPFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class S3FileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class SFTPFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class DropboxFileException(RuleException): def __init__(self, msg, lineno=None, snakefile=None): super().__init__(msg, lineno=lineno, snakefile=snakefile) class ClusterJobException(RuleException): def __init__(self, job, jobid, jobscript): super().__init__( "Error executing rule {} on cluster (jobid: {}, jobscript: {}). " "For detailed error see the cluster log.".format(job.rule.name, jobid, jobscript), lineno=job.rule.lineno, snakefile=job.rule.snakefile) class CreateRuleException(RuleException): pass class TerminatedException(Exception): pass snakemake-snakemake-4c7c76effe4d/snakemake/executors.py000066400000000000000000000723401265064562200233130ustar00rootroot00000000000000__author__ = "Johannes Köster" __contributors__ = ["David Alexander"] __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import sys import contextlib import time import datetime import json import textwrap import stat import shutil import random import string import threading import concurrent.futures import subprocess import signal from functools import partial from itertools import chain from collections import namedtuple from snakemake.jobs import Job from snakemake.shell import shell from snakemake.logging import logger from snakemake.stats import Stats from snakemake.utils import format, Unformattable from snakemake.io import get_wildcard_names, Wildcards from snakemake.exceptions import print_exception, get_exception_origin from snakemake.exceptions import format_error, RuleException, log_verbose_traceback from snakemake.exceptions import ClusterJobException, ProtectedOutputException, WorkflowError, ImproperShadowException from snakemake.futures import ProcessPoolExecutor class AbstractExecutor: def __init__(self, workflow, dag, printreason=False, quiet=False, printshellcmds=False, printthreads=True, latency_wait=3, benchmark_repeats=1): self.workflow = workflow self.dag = dag self.quiet = quiet self.printreason = printreason self.printshellcmds = printshellcmds self.printthreads = printthreads self.latency_wait = latency_wait self.benchmark_repeats = benchmark_repeats def run(self, job, callback=None, submit_callback=None, error_callback=None): job.check_protected_output() self._run(job) callback(job) def shutdown(self): pass def _run(self, job): self.printjob(job) def rule_prefix(self, job): return "local " if self.workflow.is_local(job.rule) else "" def printjob(self, job): # skip dynamic jobs that will be "executed" only in dryrun mode if self.dag.dynamic(job): return def format_files(job, io, ruleio, dynamicio): for f in io: f_ = ruleio[f] if f in dynamicio: yield "{} (dynamic)".format(f.format_dynamic()) else: yield f priority = self.dag.priority(job) logger.job_info(jobid=self.dag.jobid(job), msg=job.message, name=job.rule.name, local=self.workflow.is_local(job.rule), input=list(format_files(job, job.input, job.ruleio, job.dynamic_input)), output=list(format_files(job, job.output, job.ruleio, job.dynamic_output)), log=list(job.log), benchmark=job.benchmark, reason=str(self.dag.reason(job)), resources=job.resources_dict, priority="highest" if priority == Job.HIGHEST_PRIORITY else priority, threads=job.threads) if job.dynamic_output: logger.info("Subsequent jobs will be added dynamically " "depending on the output of this rule") def print_job_error(self, job): logger.error("Error in job {} while creating output file{} {}.".format( job, "s" if len(job.output) > 1 else "", ", ".join(job.output))) def finish_job(self, job): self.dag.handle_touch(job) self.dag.check_output(job, wait=self.latency_wait) self.dag.unshadow_output(job) self.dag.handle_remote(job) self.dag.handle_protected(job) self.dag.handle_temp(job) class DryrunExecutor(AbstractExecutor): def _run(self, job): super()._run(job) logger.shellcmd(job.shellcmd) class RealExecutor(AbstractExecutor): def __init__(self, workflow, dag, printreason=False, quiet=False, printshellcmds=False, latency_wait=3, benchmark_repeats=1): super().__init__(workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats) self.stats = Stats() def _run(self, job, callback=None, error_callback=None): super()._run(job) self.stats.report_job_start(job) try: self.workflow.persistence.started(job) except IOError as e: logger.info( "Failed to set marker file for job started ({}). " "Snakemake will work, but cannot ensure that output files " "are complete in case of a kill signal or power loss. " "Please ensure write permissions for the " "directory {}".format(e, self.workflow.persistence.path)) def finish_job(self, job): super().finish_job(job) self.stats.report_job_end(job) try: self.workflow.persistence.finished(job) except IOError as e: logger.info("Failed to remove marker file for job started " "({}). Please ensure write permissions for the " "directory {}".format(e, self.workflow.persistence.path)) class TouchExecutor(RealExecutor): def run(self, job, callback=None, submit_callback=None, error_callback=None): super()._run(job) try: for f in job.expanded_output: f.touch() if job.benchmark: job.benchmark.touch() time.sleep(0.1) self.finish_job(job) callback(job) except OSError as ex: print_exception(ex, self.workflow.linemaps) error_callback(job) _ProcessPoolExceptions = (KeyboardInterrupt, ) try: from concurrent.futures.process import BrokenProcessPool _ProcessPoolExceptions = (KeyboardInterrupt, BrokenProcessPool) except ImportError: pass class CPUExecutor(RealExecutor): def __init__(self, workflow, dag, workers, printreason=False, quiet=False, printshellcmds=False, threads=False, latency_wait=3, benchmark_repeats=1): super().__init__(workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats) self.pool = (concurrent.futures.ThreadPoolExecutor(max_workers=workers) if threads else ProcessPoolExecutor(max_workers=workers)) self.threadpool = concurrent.futures.ThreadPoolExecutor(max_workers=workers) def run(self, job, callback=None, submit_callback=None, error_callback=None): if (job.rule.shadow_depth and type(self) == concurrent.futures.ThreadPoolExecutor): raise ImproperShadowException(job.rule) job.prepare() super()._run(job) benchmark = None if job.benchmark is not None: benchmark = str(job.benchmark) pool = self.pool if job.shellcmd is None or job.is_shadow else self.threadpool future = pool.submit( run_wrapper, job.rule.run_func, job.input.plainstrings(), job.output.plainstrings(), job.params, job.wildcards, job.threads, job.resources, job.log.plainstrings(), job.rule.version, benchmark, self.benchmark_repeats, self.workflow.linemaps, self.workflow.debug, shadow_dir=job.shadow_dir) future.add_done_callback(partial(self._callback, job, callback, error_callback)) def shutdown(self): self.pool.shutdown() def cancel(self): self.pool.shutdown() def _callback(self, job, callback, error_callback, future): try: ex = future.exception() if ex: raise ex self.finish_job(job) callback(job) except _ProcessPoolExceptions: job.cleanup() self.workflow.persistence.cleanup(job) # no error callback, just silently ignore the interrupt as the main scheduler is also killed except (Exception, BaseException) as ex: self.print_job_error(job) print_exception(ex, self.workflow.linemaps) job.cleanup() self.workflow.persistence.cleanup(job) error_callback(job) class ClusterExecutor(RealExecutor): default_jobscript = "jobscript.sh" def __init__(self, workflow, dag, cores, jobname="snakejob.{rulename}.{jobid}.sh", printreason=False, quiet=False, printshellcmds=False, latency_wait=3, benchmark_repeats=1, cluster_config=None, local_input=None): local_input = local_input or [] super().__init__(workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats) if workflow.snakemakepath is None: raise ValueError("Cluster executor needs to know the path " "to the snakemake binary.") jobscript = workflow.jobscript if jobscript is None: jobscript = os.path.join(os.path.dirname(__file__), self.default_jobscript) try: with open(jobscript) as f: self.jobscript = f.read() except IOError as e: raise WorkflowError(e) if not "jobid" in get_wildcard_names(jobname): raise WorkflowError( "Defined jobname (\"{}\") has to contain the wildcard {jobid}.") self.exec_job = ( 'cd {workflow.workdir_init} && ' '{workflow.snakemakepath} --snakefile {workflow.snakefile} ' '--force -j{cores} --keep-target-files --keep-shadow ' '--wait-for-files {wait_for_files} --latency-wait {latency_wait} ' '--benchmark-repeats {benchmark_repeats} ' '{overwrite_workdir} {overwrite_config} --nocolor ' '--notemp --quiet --no-hooks --nolock {target}') if printshellcmds: self.exec_job += " --printshellcmds " if not any(dag.dynamic_output_jobs): # disable restiction to target rule in case of dynamic rules! self.exec_job += " --allowed-rules {job.rule.name} " self.jobname = jobname self._tmpdir = None self.cores = cores if cores else "" self.cluster_config = cluster_config if cluster_config else dict() self.active_jobs = list() self.lock = threading.Lock() self.wait = True self.wait_thread = threading.Thread(target=self._wait_for_jobs) self.wait_thread.daemon = True self.wait_thread.start() def shutdown(self): with self.lock: self.wait = False self.wait_thread.join() shutil.rmtree(self.tmpdir) def cancel(self): self.shutdown() def _run(self, job, callback=None, error_callback=None): super()._run(job, callback=callback, error_callback=error_callback) logger.shellcmd(job.shellcmd) @property def tmpdir(self): if self._tmpdir is None: while True: self._tmpdir = ".snakemake/tmp." + "".join( random.sample(string.ascii_uppercase + string.digits, 6)) if not os.path.exists(self._tmpdir): os.mkdir(self._tmpdir) break return os.path.abspath(self._tmpdir) def get_jobscript(self, job): return os.path.join( self.tmpdir, job.format_wildcards(self.jobname, rulename=job.rule.name, jobid=self.dag.jobid(job), cluster=self.cluster_wildcards(job))) def spawn_jobscript(self, job, jobscript, **kwargs): overwrite_workdir = "" if self.workflow.overwrite_workdir: overwrite_workdir = "--directory {} ".format( self.workflow.overwrite_workdir) overwrite_config = "" if self.workflow.overwrite_configfile: overwrite_config = "--configfile {} ".format( self.workflow.overwrite_configfile) if self.workflow.config_args: overwrite_config += "--config {} ".format( " ".join(self.workflow.config_args)) target = job.output if job.output else job.rule.name wait_for_files = list(job.local_input) + [self.tmpdir] if job.shadow_dir: wait_for_files.append(job.shadow_dir) format = partial(str.format, job=job, overwrite_workdir=overwrite_workdir, overwrite_config=overwrite_config, workflow=self.workflow, cores=self.cores, properties=job.json(), latency_wait=self.latency_wait, benchmark_repeats=self.benchmark_repeats, target=target, wait_for_files=" ".join(wait_for_files), **kwargs) try: exec_job = format(self.exec_job) with open(jobscript, "w") as f: print(format(self.jobscript, exec_job=exec_job), file=f) except KeyError as e: raise WorkflowError( "Error formatting jobscript: {} not found\n" "Make sure that your custom jobscript it up to date.".format(e)) os.chmod(jobscript, os.stat(jobscript).st_mode | stat.S_IXUSR) def cluster_wildcards(self, job): cluster = self.cluster_config.get("__default__", dict()).copy() cluster.update(self.cluster_config.get(job.rule.name, dict())) return Wildcards(fromdict=cluster) GenericClusterJob = namedtuple("GenericClusterJob", "job callback error_callback jobscript jobfinished jobfailed") class GenericClusterExecutor(ClusterExecutor): def __init__(self, workflow, dag, cores, submitcmd="qsub", cluster_config=None, jobname="snakejob.{rulename}.{jobid}.sh", printreason=False, quiet=False, printshellcmds=False, latency_wait=3, benchmark_repeats=1): super().__init__(workflow, dag, cores, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, cluster_config=cluster_config) self.submitcmd = submitcmd self.external_jobid = dict() self.exec_job += ' && touch "{jobfinished}" || touch "{jobfailed}"' def cancel(self): logger.info("Will exit after finishing currently running jobs.") self.shutdown() def run(self, job, callback=None, submit_callback=None, error_callback=None): super()._run(job) workdir = os.getcwd() jobid = self.dag.jobid(job) jobscript = self.get_jobscript(job) jobfinished = os.path.join(self.tmpdir, "{}.jobfinished".format(jobid)) jobfailed = os.path.join(self.tmpdir, "{}.jobfailed".format(jobid)) self.spawn_jobscript(job, jobscript, jobfinished=jobfinished, jobfailed=jobfailed) deps = " ".join(self.external_jobid[f] for f in job.input if f in self.external_jobid) try: submitcmd = job.format_wildcards( self.submitcmd, dependencies=deps, cluster=self.cluster_wildcards(job)) except AttributeError as e: raise WorkflowError(str(e), rule=job.rule) try: ext_jobid = subprocess.check_output( '{submitcmd} "{jobscript}"'.format(submitcmd=submitcmd, jobscript=jobscript), shell=True).decode().split("\n") except subprocess.CalledProcessError as ex: raise WorkflowError( "Error executing jobscript (exit code {}):\n{}".format( ex.returncode, ex.output.decode()), rule=job.rule) if ext_jobid and ext_jobid[0]: ext_jobid = ext_jobid[0] self.external_jobid.update((f, ext_jobid) for f in job.output) logger.debug("Submitted job {} with external jobid {}.".format( jobid, ext_jobid)) submit_callback(job) with self.lock: self.active_jobs.append(GenericClusterJob(job, callback, error_callback, jobscript, jobfinished, jobfailed)) def _wait_for_jobs(self): while True: with self.lock: if not self.wait: return active_jobs = self.active_jobs self.active_jobs = list() for active_job in active_jobs: if os.path.exists(active_job.jobfinished): os.remove(active_job.jobfinished) os.remove(active_job.jobscript) self.finish_job(active_job.job) active_job.callback(active_job.job) elif os.path.exists(active_job.jobfailed): os.remove(active_job.jobfailed) os.remove(active_job.jobscript) self.print_job_error(active_job.job) print_exception(ClusterJobException(active_job.job, self.dag.jobid(active_job.job), active_job.jobscript), self.workflow.linemaps) active_job.error_callback(active_job.job) else: self.active_jobs.append(active_job) time.sleep(1) SynchronousClusterJob = namedtuple("SynchronousClusterJob", "job callback error_callback jobscript process") class SynchronousClusterExecutor(ClusterExecutor): """ invocations like "qsub -sync y" (SGE) or "bsub -K" (LSF) are synchronous, blocking the foreground thread and returning the remote exit code at remote exit. """ def __init__(self, workflow, dag, cores, submitcmd="qsub", cluster_config=None, jobname="snakejob.{rulename}.{jobid}.sh", printreason=False, quiet=False, printshellcmds=False, latency_wait=3, benchmark_repeats=1): super().__init__(workflow, dag, cores, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, cluster_config=cluster_config, ) self.submitcmd = submitcmd self.external_jobid = dict() def cancel(self): logger.info("Will exit after finishing currently running jobs.") self.shutdown() def run(self, job, callback=None, submit_callback=None, error_callback=None): super()._run(job) workdir = os.getcwd() jobid = self.dag.jobid(job) jobscript = self.get_jobscript(job) self.spawn_jobscript(job, jobscript) deps = " ".join(self.external_jobid[f] for f in job.input if f in self.external_jobid) try: submitcmd = job.format_wildcards( self.submitcmd, dependencies=deps, cluster=self.cluster_wildcards(job)) except AttributeError as e: raise WorkflowError(str(e), rule=job.rule) process = subprocess.Popen('{submitcmd} "{jobscript}"'.format(submitcmd=submitcmd, jobscript=jobscript), shell=True) submit_callback(job) with self.lock: self.active_jobs.append(SynchronousClusterJob(job, callback, error_callback, jobscript, process)) def _wait_for_jobs(self): while True: with self.lock: if not self.wait: return active_jobs = self.active_jobs self.active_jobs = list() for active_job in active_jobs: exitcode = active_job.process.poll() if exitcode is None: # job not yet finished self.active_jobs.append(active_job) elif exitcode == 0: # job finished successfully os.remove(active_job.jobscript) self.finish_job(active_job.job) active_job.callback(active_job.job) else: # job failed os.remove(active_job.jobscript) self.print_job_error(active_job.job) print_exception(ClusterJobException(active_job.job, self.dag.jobid(active_job.job), active_job.jobscript), self.workflow.linemaps) active_job.error_callback(active_job.job) time.sleep(1) DRMAAClusterJob = namedtuple("DRMAAClusterJob", "job jobid callback error_callback jobscript") class DRMAAExecutor(ClusterExecutor): def __init__(self, workflow, dag, cores, jobname="snakejob.{rulename}.{jobid}.sh", printreason=False, quiet=False, printshellcmds=False, drmaa_args="", latency_wait=3, benchmark_repeats=1, cluster_config=None, ): super().__init__(workflow, dag, cores, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, cluster_config=cluster_config, ) try: import drmaa except ImportError: raise WorkflowError( "Python support for DRMAA is not installed. " "Please install it, e.g. with easy_install3 --user drmaa") except RuntimeError as e: raise WorkflowError("Error loading drmaa support:\n{}".format(e)) self.session = drmaa.Session() self.drmaa_args = drmaa_args self.session.initialize() self.submitted = list() def cancel(self): from drmaa.const import JobControlAction for jobid in self.submitted: self.session.control(jobid, JobControlAction.TERMINATE) self.shutdown() def run(self, job, callback=None, submit_callback=None, error_callback=None): super()._run(job) jobscript = self.get_jobscript(job) self.spawn_jobscript(job, jobscript) try: drmaa_args = job.format_wildcards( self.drmaa_args, cluster=self.cluster_wildcards(job)) except AttributeError as e: raise WorkflowError(str(e), rule=job.rule) import drmaa try: jt = self.session.createJobTemplate() jt.remoteCommand = jobscript jt.nativeSpecification = drmaa_args jobid = self.session.runJob(jt) except (drmaa.errors.InternalException, drmaa.errors.InvalidAttributeValueException) as e: print_exception(WorkflowError("DRMAA Error: {}".format(e)), self.workflow.linemaps) error_callback(job) return logger.info("Submitted DRMAA job (jobid {})".format(jobid)) self.submitted.append(jobid) self.session.deleteJobTemplate(jt) submit_callback(job) with self.lock: self.active_jobs.append(DRMAAClusterJob(job, jobid, callback, error_callback, jobscript)) def shutdown(self): super().shutdown() self.session.exit() def _wait_for_jobs(self): import drmaa while True: with self.lock: if not self.wait: return active_jobs = self.active_jobs self.active_jobs = list() for active_job in active_jobs: try: retval = self.session.wait(active_job.jobid, drmaa.Session.TIMEOUT_NO_WAIT) except drmaa.errors.InternalException as e: print_exception(WorkflowError("DRMAA Error: {}".format(e)), self.workflow.linemaps) os.remove(active_job.jobscript) active_job.error_callback(active_job.job) continue except drmaa.errors.ExitTimeoutException as e: # job still active self.active_jobs.append(active_job) continue # job exited os.remove(active_job.jobscript) if retval.hasExited and retval.exitStatus == 0: self.finish_job(active_job.job) active_job.callback(active_job.job) else: self.print_job_error(active_job.job) print_exception( ClusterJobException(active_job.job, self.dag.jobid(active_job.job), active_job.jobscript), self.workflow.linemaps) active_job.error_callback(active_job.job) time.sleep(1) @contextlib.contextmanager def change_working_directory(directory=None): """ Change working directory in execution context if provided. """ if directory: try: saved_directory = os.getcwd() logger.info("Changing to shadow directory: {}".format(directory)) os.chdir(directory) yield finally: os.chdir(saved_directory) else: yield def run_wrapper(run, input, output, params, wildcards, threads, resources, log, version, benchmark, benchmark_repeats, linemaps, debug=False, shadow_dir=None): """ Wrapper around the run method that handles exceptions and benchmarking. Arguments run -- the run method input -- list of input files output -- list of output files wildcards -- so far processed wildcards threads -- usable threads log -- list of log files shadow_dir -- optional shadow directory root """ if os.name == "posix" and debug: sys.stdin = open('/dev/stdin') try: runs = 1 if benchmark is None else benchmark_repeats wallclock = [] for i in range(runs): w = time.time() # execute the actual run method. with change_working_directory(shadow_dir): run(input, output, params, wildcards, threads, resources, log, version) w = time.time() - w wallclock.append(w) except (KeyboardInterrupt, SystemExit) as e: # re-raise the keyboard interrupt in order to record an error in the scheduler but ignore it raise e except (Exception, BaseException) as ex: log_verbose_traceback(ex) # this ensures that exception can be re-raised in the parent thread lineno, file = get_exception_origin(ex, linemaps) raise RuleException(format_error(ex, lineno, linemaps=linemaps, snakefile=file, show_traceback=True)) if benchmark is not None: try: with open(benchmark, "w") as f: print("s", "h:m:s", sep="\t", file=f) for t in wallclock: print(t, str(datetime.timedelta(seconds=t)), sep="\t", file=f) except (Exception, BaseException) as ex: raise WorkflowError(ex) snakemake-snakemake-4c7c76effe4d/snakemake/futures.py000066400000000000000000000023441265064562200227640ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import sys import os import multiprocessing import concurrent.futures from concurrent.futures.process import _ResultItem, _process_worker def _graceful_process_worker(call_queue, result_queue): """Override the default _process_worker from concurrent.futures. We ensure here that KeyboardInterrupts lead to silent failures. """ try: _process_worker(call_queue, result_queue) except KeyboardInterrupt: # let the process silently fail in case of a keyboard interrupt raise SystemExit() class ProcessPoolExecutor(concurrent.futures.ProcessPoolExecutor): """Override the default ProcessPoolExecutor to gracefully handle KeyboardInterrupts.""" def _adjust_process_count(self): for _ in range(len(self._processes), self._max_workers): p = multiprocessing.Process( target=_graceful_process_worker, args=(self._call_queue, self._result_queue)) p.start() if sys.version_info < (3, 3): self._processes.add(p) else: self._processes[p.pid] = p snakemake-snakemake-4c7c76effe4d/snakemake/gui.html000066400000000000000000000304031265064562200223640ustar00rootroot00000000000000

Resources

{% for resource in resources %}
{% endfor %}
snakemake-snakemake-4c7c76effe4d/snakemake/gui.py000066400000000000000000000115771265064562200220630ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import json import os import threading from flask import Flask, render_template, request from snakemake.version import __version__ LOCK = threading.Lock() app = Flask("snakemake", template_folder=os.path.dirname(__file__)) #app.debug=True app.extensions = { "dag": None, "run_snakemake": None, "progress": "", "log": [], "status": {"running": False}, "args": None, "targets": [], "rule_info": [], "resources": [] } def register(run_snakemake, args): app.extensions["run_snakemake"] = run_snakemake app.extensions["args"] = dict(targets=args.target, cluster=args.cluster, workdir=args.directory, touch=args.touch, forcetargets=args.force, forceall=args.forceall, forcerun=args.forcerun, prioritytargets=args.prioritize, stats=args.stats, keepgoing=args.keep_going, jobname=args.jobname, immediate_submit=args.immediate_submit, ignore_ambiguity=args.allow_ambiguity, lock=not args.nolock, force_incomplete=args.rerun_incomplete, ignore_incomplete=args.ignore_incomplete, jobscript=args.jobscript, notemp=args.notemp, latency_wait=args.latency_wait) target_rules = [] def log_handler(msg): if msg["level"] == "rule_info": target_rules.append(msg["name"]) run_snakemake(list_target_rules=True, log_handler=log_handler) for target in args.target: target_rules.remove(target) app.extensions["targets"] = args.target + target_rules resources = [] def log_handler(msg): if msg["level"] == "info": resources.append(msg["msg"]) run_snakemake(list_resources=True, log_handler=log_handler) app.extensions["resources"] = resources app.extensions["snakefilepath"] = os.path.abspath(args.snakefile) def run_snakemake(**kwargs): args = dict(app.extensions["args"]) args.update(kwargs) app.extensions["run_snakemake"](**args) @app.route("/") def index(): args = app.extensions["args"] return render_template("gui.html", targets=app.extensions["targets"], cores_label="Nodes" if args["cluster"] else "Cores", resources=app.extensions["resources"], snakefilepath=app.extensions["snakefilepath"], version=__version__, node_width=15, node_padding=10) @app.route("/dag") def dag(): if app.extensions["dag"] is None: def record(msg): if msg["level"] == "d3dag": app.extensions["dag"] = msg elif msg["level"] in ("error", "info"): app.extensions["log"].append(msg) run_snakemake(printd3dag=True, log_handler=record) return json.dumps(app.extensions["dag"]) @app.route("/log/") def log(id): log = app.extensions["log"][id:] return json.dumps(log) @app.route("/progress") def progress(): return json.dumps(app.extensions["progress"]) def _run(dryrun=False): def log_handler(msg): level = msg["level"] if level == "progress": app.extensions["progress"] = msg elif level in ("info", "error", "job_info", "job_finished"): app.extensions["log"].append(msg) with LOCK: app.extensions["status"]["running"] = True run_snakemake(log_handler=log_handler, dryrun=dryrun) with LOCK: app.extensions["status"]["running"] = False return "" @app.route("/run") def run(): _run() @app.route("/dryrun") def dryrun(): _run(dryrun=True) @app.route("/status") def status(): with LOCK: return json.dumps(app.extensions["status"]) @app.route("/targets") def targets(): return json.dumps(app.extensions["targets"]) @app.route("/get_args") def get_args(): return json.dumps(app.extensions["args"]) @app.route("/set_args", methods=["POST"]) def set_args(): app.extensions["args"].update({ name: value for name, value in request.form.items() if not name.endswith("[]") }) targets = request.form.getlist("targets[]") if targets != app.extensions["args"]["targets"]: app.extensions["dag"] = None app.extensions["args"]["targets"] = targets return "" snakemake-snakemake-4c7c76effe4d/snakemake/io.py000066400000000000000000000526621265064562200217060ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import re import stat import time import json import functools from itertools import product, chain from collections import Iterable, namedtuple from snakemake.exceptions import MissingOutputException, WorkflowError, WildcardError, RemoteFileException from snakemake.logging import logger from inspect import isfunction, ismethod def lstat(f): return os.stat(f, follow_symlinks=os.stat not in os.supports_follow_symlinks) def lutime(f, times): return os.utime(f, times, follow_symlinks=os.utime not in os.supports_follow_symlinks) def lchmod(f, mode): return os.chmod(f, mode, follow_symlinks=os.chmod not in os.supports_follow_symlinks) def IOFile(file, rule=None): f = _IOFile(file) f.rule = rule return f class _IOFile(str): """ A file that is either input or output of a rule. """ dynamic_fill = "__snakemake_dynamic__" def __new__(cls, file): obj = str.__new__(cls, file) obj._is_function = isfunction(file) or ismethod(file) obj._file = file obj.rule = None obj._regex = None return obj def _refer_to_remote(func): """ A decorator so that if the file is remote and has a version of the same file-related function, call that version instead. """ @functools.wraps(func) def wrapper(self, *args, **kwargs): if self.is_remote: self.update_remote_filepath() if hasattr( self.remote_object, func.__name__): return getattr( self.remote_object, func.__name__)(*args, **kwargs) return func(self, *args, **kwargs) return wrapper @property def is_remote(self): return is_flagged(self._file, "remote_object") def update_remote_filepath(self): # if the file string is different in the iofile, update the remote object # (as in the case of wildcard expansion) if get_flag_value(self._file, "remote_object").file != self._file: get_flag_value(self._file, "remote_object")._iofile = self @property def should_keep_local(self): return get_flag_value(self._file, "remote_object").keep_local @property def remote_object(self): self.update_remote_filepath() return get_flag_value(self._file, "remote_object") @property @_refer_to_remote def file(self): if not self._is_function: return self._file else: raise ValueError("This IOFile is specified as a function and " "may not be used directly.") @property @_refer_to_remote def exists(self): return self.exists_local @property def exists_local(self): return os.path.exists(self.file) @property def exists_remote(self): return (self.is_remote and self.remote_object.exists()) @property def protected(self): return self.exists_local and not os.access(self.file, os.W_OK) @property @_refer_to_remote def mtime(self): return self.mtime_local @property def mtime_local(self): # do not follow symlinks for modification time return int(lstat(self.file).st_mtime) @property def flags(self): return getattr(self._file, "flags", {}) @property @_refer_to_remote def size(self): return self.size_local @property def size_local(self): # follow symlinks but throw error if invalid self.check_broken_symlink() return os.path.getsize(self.file) def check_broken_symlink(self): """ Raise WorkflowError if file is a broken symlink. """ if not self.exists_local and lstat(self.file): raise WorkflowError("File {} seems to be a broken symlink.".format(self.file)) def is_newer(self, time): return self.mtime > time def download_from_remote(self): if self.is_remote and self.remote_object.exists(): logger.info("Downloading from remote: {}".format(self.file)) self.remote_object.download() else: raise RemoteFileException("The file to be downloaded does not seem to exist remotely.") def upload_to_remote(self): if self.is_remote and not self.remote_object.exists(): logger.info("Uploading to remote: {}".format(self.file)) self.remote_object.upload() else: raise RemoteFileException("The file to be uploaded does not seem to exist remotely.") def prepare(self): path_until_wildcard = re.split(self.dynamic_fill, self.file)[0] dir = os.path.dirname(path_until_wildcard) if len(dir) > 0 and not os.path.exists(dir): try: os.makedirs(dir) except OSError as e: # ignore Errno 17 "File exists" (reason: multiprocessing) if e.errno != 17: raise e def protect(self): mode = (lstat(self.file).st_mode & ~stat.S_IWUSR & ~stat.S_IWGRP & ~ stat.S_IWOTH) if os.path.isdir(self.file): for root, dirs, files in os.walk(self.file): for d in dirs: lchmod(os.path.join(self.file, d), mode) for f in files: lchmod(os.path.join(self.file, f), mode) else: lchmod(self.file, mode) def remove(self): remove(self.file) def touch(self, times=None): """ times must be 2-tuple: (atime, mtime) """ try: lutime(self.file, times) except OSError as e: if e.errno == 2: raise MissingOutputException( "Output file {} of rule {} shall be touched but " "does not exist.".format(self.file, self.rule.name), lineno=self.rule.lineno, snakefile=self.rule.snakefile) else: raise e def touch_or_create(self): try: self.touch() except MissingOutputException: # create empty file with open(self.file, "w") as f: pass def apply_wildcards(self, wildcards, fill_missing=False, fail_dynamic=False): f = self._file if self._is_function: f = self._file(Namedlist(fromdict=wildcards)) # this bit ensures flags are transferred over to files after # wildcards are applied file_with_wildcards_applied = IOFile(apply_wildcards(f, wildcards, fill_missing=fill_missing, fail_dynamic=fail_dynamic, dynamic_fill=self.dynamic_fill), rule=self.rule) file_with_wildcards_applied.clone_flags( self ) return file_with_wildcards_applied def get_wildcard_names(self): return get_wildcard_names(self.file) def contains_wildcard(self): return contains_wildcard(self.file) def regex(self): if self._regex is None: # compile a regular expression self._regex = re.compile(regex(self.file)) return self._regex def constant_prefix(self): first_wildcard = _wildcard_regex.search(self.file) if first_wildcard: return self.file[:first_wildcard.start()] return self.file def match(self, target): return self.regex().match(target) or None def format_dynamic(self): return self.replace(self.dynamic_fill, "{*}") def clone_flags(self, other): if isinstance(self._file, str): self._file = AnnotatedString(self._file) if isinstance(other._file, AnnotatedString): self._file.flags = getattr(other._file, "flags", {}) def set_flags(self, flags): if isinstance(self._file, str): self._file = AnnotatedString(self._file) self._file.flags = flags def __eq__(self, other): f = other._file if isinstance(other, _IOFile) else other return self._file == f def __hash__(self): return self._file.__hash__() _wildcard_regex = re.compile( "\{\s*(?P\w+?)(\s*,\s*(?P([^\{\}]+|\{\d+(,\d+)?\})*))?\s*\}") # "\{\s*(?P\w+?)(\s*,\s*(?P[^\}]*))?\s*\}") def wait_for_files(files, latency_wait=3): """Wait for given files to be present in filesystem.""" files = list(files) get_missing = lambda: [f for f in files if not os.path.exists(f)] missing = get_missing() if missing: logger.info("Waiting at most {} seconds for missing files.".format( latency_wait)) for _ in range(latency_wait): if not get_missing(): return time.sleep(1) raise IOError("Missing files after {} seconds:\n{}".format( latency_wait, "\n".join(get_missing()))) def get_wildcard_names(pattern): return set(match.group('name') for match in _wildcard_regex.finditer(pattern)) def contains_wildcard(path): return _wildcard_regex.search(path) is not None def remove(file): if os.path.exists(file): if os.path.isdir(file): try: os.removedirs(file) except OSError: # ignore non empty directories pass else: os.remove(file) def regex(filepattern): f = [] last = 0 wildcards = set() for match in _wildcard_regex.finditer(filepattern): f.append(re.escape(filepattern[last:match.start()])) wildcard = match.group("name") if wildcard in wildcards: if match.group("constraint"): raise ValueError( "If multiple wildcards of the same name " "appear in a string, eventual constraints have to be defined " "at the first occurence and will be inherited by the others.") f.append("(?P={})".format(wildcard)) else: wildcards.add(wildcard) f.append("(?P<{}>{})".format(wildcard, match.group("constraint") if match.group("constraint") else ".+")) last = match.end() f.append(re.escape(filepattern[last:])) f.append("$") # ensure that the match spans the whole file return "".join(f) def apply_wildcards(pattern, wildcards, fill_missing=False, fail_dynamic=False, dynamic_fill=None, keep_dynamic=False): def format_match(match): name = match.group("name") try: value = wildcards[name] if fail_dynamic and value == dynamic_fill: raise WildcardError(name) return str(value) # convert anything into a str except KeyError as ex: if keep_dynamic: return "{{{}}}".format(name) elif fill_missing: return dynamic_fill else: raise WildcardError(str(ex)) return re.sub(_wildcard_regex, format_match, pattern) def not_iterable(value): return isinstance(value, str) or not isinstance(value, Iterable) class AnnotatedString(str): def __init__(self, value): self.flags = dict() def flag(value, flag_type, flag_value=True): if isinstance(value, AnnotatedString): value.flags[flag_type] = flag_value return value if not_iterable(value): value = AnnotatedString(value) value.flags[flag_type] = flag_value return value return [flag(v, flag_type, flag_value=flag_value) for v in value] def is_flagged(value, flag): if isinstance(value, AnnotatedString): return flag in value.flags and value.flags[flag] if isinstance(value, _IOFile): return flag in value.flags and value.flags[flag] return False def get_flag_value(value, flag_type): if isinstance(value, AnnotatedString): if flag_type in value.flags: return value.flags[flag_type] else: return None def temp(value): """ A flag for an input or output file that shall be removed after usage. """ if is_flagged(value, "protected"): raise SyntaxError( "Protected and temporary flags are mutually exclusive.") if is_flagged(value, "remote"): raise SyntaxError( "Remote and temporary flags are mutually exclusive.") return flag(value, "temp") def temporary(value): """ An alias for temp. """ return temp(value) def protected(value): """ A flag for a file that shall be write protected after creation. """ if is_flagged(value, "temp"): raise SyntaxError( "Protected and temporary flags are mutually exclusive.") if is_flagged(value, "remote"): raise SyntaxError( "Remote and protected flags are mutually exclusive.") return flag(value, "protected") def dynamic(value): """ A flag for a file that shall be dynamic, i.e. the multiplicity (and wildcard values) will be expanded after a certain rule has been run """ annotated = flag(value, "dynamic", True) tocheck = [annotated] if not_iterable(annotated) else annotated for file in tocheck: matches = list(_wildcard_regex.finditer(file)) #if len(matches) != 1: # raise SyntaxError("Dynamic files need exactly one wildcard.") for match in matches: if match.group("constraint"): raise SyntaxError( "The wildcards in dynamic files cannot be constrained.") return annotated def touch(value): return flag(value, "touch") def expand(*args, **wildcards): """ Expand wildcards in given filepatterns. Arguments *args -- first arg: filepatterns as list or one single filepattern, second arg (optional): a function to combine wildcard values (itertools.product per default) **wildcards -- the wildcards as keyword arguments with their values as lists """ filepatterns = args[0] if len(args) == 1: combinator = product elif len(args) == 2: combinator = args[1] if isinstance(filepatterns, str): filepatterns = [filepatterns] def flatten(wildcards): for wildcard, values in wildcards.items(): if isinstance(values, str) or not isinstance(values, Iterable): values = [values] yield [(wildcard, value) for value in values] try: return [filepattern.format(**comb) for comb in map(dict, combinator(*flatten(wildcards))) for filepattern in filepatterns] except KeyError as e: raise WildcardError("No values given for wildcard {}.".format(e)) def limit(pattern, **wildcards): """ Limit wildcards to the given values. Arguments: **wildcards -- the wildcards as keyword arguments with their values as lists """ return pattern.format(**{ wildcard: "{{{},{}}}".format(wildcard, "|".join(values)) for wildcard, values in wildcards.items() }) def glob_wildcards(pattern, files=None): """ Glob the values of the wildcards by matching the given pattern to the filesystem. Returns a named tuple with a list of values for each wildcard. """ pattern = os.path.normpath(pattern) first_wildcard = re.search("{[^{]", pattern) dirname = os.path.dirname(pattern[:first_wildcard.start( )]) if first_wildcard else os.path.dirname(pattern) if not dirname: dirname = "." names = [match.group('name') for match in _wildcard_regex.finditer(pattern)] Wildcards = namedtuple("Wildcards", names) wildcards = Wildcards(*[list() for name in names]) pattern = re.compile(regex(pattern)) if files is None: files = ((os.path.join(dirpath, f) if dirpath != "." else f) for dirpath, dirnames, filenames in os.walk(dirname) for f in chain(filenames, dirnames)) for f in files: match = re.match(pattern, f) if match: for name, value in match.groupdict().items(): getattr(wildcards, name).append(value) return wildcards # TODO rewrite Namedlist! class Namedlist(list): """ A list that additionally provides functions to name items. Further, it is hashable, however the hash does not consider the item names. """ def __init__(self, toclone=None, fromdict=None, plainstr=False): """ Create the object. Arguments toclone -- another Namedlist that shall be cloned fromdict -- a dict that shall be converted to a Namedlist (keys become names) """ list.__init__(self) self._names = dict() if toclone: self.extend(map(str, toclone) if plainstr else toclone) if isinstance(toclone, Namedlist): self.take_names(toclone.get_names()) if fromdict: for key, item in fromdict.items(): self.append(item) self.add_name(key) def add_name(self, name): """ Add a name to the last item. Arguments name -- a name """ self.set_name(name, len(self) - 1) def set_name(self, name, index, end=None): """ Set the name of an item. Arguments name -- a name index -- the item index """ self._names[name] = (index, end) if end is None: setattr(self, name, self[index]) else: setattr(self, name, Namedlist(toclone=self[index:end])) def get_names(self): """ Get the defined names as (name, index) pairs. """ for name, index in self._names.items(): yield name, index def take_names(self, names): """ Take over the given names. Arguments names -- the given names as (name, index) pairs """ for name, (i, j) in names: self.set_name(name, i, end=j) def items(self): for name in self._names: yield name, getattr(self, name) def allitems(self): next = 0 for name, index in sorted(self._names.items(), key=lambda item: item[1][0]): start, end = index if end is None: end = start + 1 if start > next: for item in self[next:start]: yield None, item yield name, getattr(self, name) next = end for item in self[next:]: yield None, item def insert_items(self, index, items): self[index:index + 1] = items add = len(items) - 1 for name, (i, j) in self._names.items(): if i > index: self._names[name] = (i + add, j + add) elif i == index: self.set_name(name, i, end=i + len(items)) def keys(self): return self._names def plainstrings(self): return self.__class__.__call__(toclone=self, plainstr=True) def __getitem__(self, key): try: return super().__getitem__(key) except TypeError: pass return getattr(self, key) def __hash__(self): return hash(tuple(self)) def __str__(self): return " ".join(map(str, self)) class InputFiles(Namedlist): pass class OutputFiles(Namedlist): pass class Wildcards(Namedlist): pass class Params(Namedlist): pass class Resources(Namedlist): pass class Log(Namedlist): pass def _load_configfile(configpath): "Tries to load a configfile first as JSON, then as YAML, into a dict." try: with open(configpath) as f: try: return json.load(f) except ValueError: f.seek(0) # try again try: import yaml except ImportError: raise WorkflowError("Config file is not valid JSON and PyYAML " "has not been installed. Please install " "PyYAML to use YAML config files.") try: return yaml.load(f) except yaml.YAMLError: raise WorkflowError("Config file is not valid JSON or YAML.") except FileNotFoundError: raise WorkflowError("Config file {} not found.".format(configpath)) def load_configfile(configpath): "Loads a JSON or YAML configfile as a dict, then checks that it's a dict." config = _load_configfile(configpath) if not isinstance(config, dict): raise WorkflowError("Config file must be given as JSON or YAML " "with keys at top level.") return config ##### Wildcard pumping detection ##### class PeriodicityDetector: def __init__(self, min_repeat=50, max_repeat=100): """ Args: max_len (int): The maximum length of the periodic substring. """ self.regex = re.compile( "((?P.+)(?P=value){{{min_repeat},{max_repeat}}})$".format( min_repeat=min_repeat - 1, max_repeat=max_repeat - 1)) def is_periodic(self, value): """Returns the periodic substring or None if not periodic.""" m = self.regex.search(value) # search for a periodic suffix. if m is not None: return m.group("value") snakemake-snakemake-4c7c76effe4d/snakemake/jobs.py000066400000000000000000000437531265064562200222350ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import sys import base64 import json import tempfile from collections import defaultdict from itertools import chain from functools import partial from operator import attrgetter from snakemake.io import IOFile, Wildcards, Resources, _IOFile, is_flagged, contains_wildcard from snakemake.utils import format, listfiles from snakemake.exceptions import RuleException, ProtectedOutputException from snakemake.exceptions import UnexpectedOutputException from snakemake.logging import logger def jobfiles(jobs, type): return chain(*map(attrgetter(type), jobs)) class Job: HIGHEST_PRIORITY = sys.maxsize def __init__(self, rule, dag, targetfile=None, format_wildcards=None): self.rule = rule self.dag = dag self.targetfile = targetfile self.wildcards_dict = self.rule.get_wildcards(targetfile) self.wildcards = Wildcards(fromdict=self.wildcards_dict) self._format_wildcards = (self.wildcards if format_wildcards is None else Wildcards(fromdict=format_wildcards)) (self.input, self.output, self.params, self.log, self.benchmark, self.ruleio, self.dependencies) = rule.expand_wildcards(self.wildcards_dict) self.resources_dict = { name: min(self.rule.workflow.global_resources.get(name, res), res) for name, res in rule.resources.items() } self.threads = self.resources_dict["_cores"] self.resources = Resources(fromdict=self.resources_dict) self.shadow_dir = None self._inputsize = None self.dynamic_output, self.dynamic_input = set(), set() self.temp_output, self.protected_output = set(), set() self.touch_output = set() self.subworkflow_input = dict() for f in self.output: f_ = self.ruleio[f] if f_ in self.rule.dynamic_output: self.dynamic_output.add(f) if f_ in self.rule.temp_output: self.temp_output.add(f) if f_ in self.rule.protected_output: self.protected_output.add(f) if f_ in self.rule.touch_output: self.touch_output.add(f) for f in self.input: f_ = self.ruleio[f] if f_ in self.rule.dynamic_input: self.dynamic_input.add(f) if f_ in self.rule.subworkflow_input: self.subworkflow_input[f] = self.rule.subworkflow_input[f_] self._hash = self.rule.__hash__() if True or not self.dynamic_output: for o in self.output: self._hash ^= o.__hash__() @property def is_shadow(self): return self.rule.shadow_depth is not None @property def priority(self): return self.dag.priority(self) @property def b64id(self): return base64.b64encode((self.rule.name + "".join(self.output) ).encode("utf-8")).decode("utf-8") @property def inputsize(self): """ Return the size of the input files. Input files need to be present. """ if self._inputsize is None: self._inputsize = sum(f.size for f in self.input) return self._inputsize @property def message(self): """ Return the message for this job. """ try: return (self.format_wildcards(self.rule.message) if self.rule.message else None) except AttributeError as ex: raise RuleException(str(ex), rule=self.rule) except KeyError as ex: raise RuleException("Unknown variable in message " "of shell command: {}".format(str(ex)), rule=self.rule) @property def shellcmd(self): """ Return the shell command. """ try: return (self.format_wildcards(self.rule.shellcmd) if self.rule.shellcmd else None) except AttributeError as ex: raise RuleException(str(ex), rule=self.rule) except KeyError as ex: raise RuleException("Unknown variable when printing " "shell command: {}".format(str(ex)), rule=self.rule) @property def expanded_output(self): """ Iterate over output files while dynamic output is expanded. """ for f, f_ in zip(self.output, self.rule.output): if f in self.dynamic_output: expansion = self.expand_dynamic(f_) if not expansion: yield f_ for f, _ in expansion: file_to_yield = IOFile(f, self.rule) file_to_yield.clone_flags(f_) yield file_to_yield else: yield f @property def expanded_shadowed_output(self): """ Get the paths of output files, resolving shadow directory. """ if not self.shadow_dir: yield from self.expanded_output else: for f in self.expanded_output: yield os.path.join(self.shadow_dir, f) @property def dynamic_wildcards(self): """ Return all wildcard values determined from dynamic output. """ combinations = set() for f, f_ in zip(self.output, self.rule.output): if f in self.dynamic_output: for f, w in self.expand_dynamic(f_): combinations.add(tuple(w.items())) wildcards = defaultdict(list) for combination in combinations: for name, value in combination: wildcards[name].append(value) return wildcards @property def missing_input(self): """ Return missing input files. """ # omit file if it comes from a subworkflow return set(f for f in self.input if not f.exists and not f in self.subworkflow_input) @property def existing_remote_input(self): files = set() for f in self.input: if f.is_remote: if f.exists_remote: files.add(f) return files @property def existing_remote_output(self): files = set() for f in self.remote_output: if f.exists_remote: files.add(f) return files @property def missing_remote_input(self): return self.remote_input - self.existing_remote_input @property def missing_remote_output(self): return self.remote_output - self.existing_remote_output @property def output_mintime(self): """ Return oldest output file. """ existing = [f.mtime for f in self.expanded_output if f.exists] if self.benchmark and self.benchmark.exists: existing.append(self.benchmark.mtime) if existing: return min(existing) return None @property def input_maxtime(self): """ Return newest input file. """ existing = [f.mtime for f in self.input if f.exists] if existing: return max(existing) return None def missing_output(self, requested=None): """ Return missing output files. """ files = set() if self.benchmark and (requested is None or self.benchmark in requested): if not self.benchmark.exists: files.add(self.benchmark) for f, f_ in zip(self.output, self.rule.output): if requested is None or f in requested: if f in self.dynamic_output: if not self.expand_dynamic(f_): files.add("{} (dynamic)".format(f_)) elif not f.exists: files.add(f) return files @property def local_input(self): for f in self.input: if not f.is_remote: yield f @property def local_output(self): for f in self.output: if not f.is_remote: yield f @property def remote_input(self): for f in self.input: if f.is_remote: yield f @property def remote_output(self): for f in self.output: if f.is_remote: yield f @property def remote_input_newer_than_local(self): files = set() for f in self.remote_input: if (f.exists_remote and f.exists_local) and (f.mtime > f.mtime_local): files.add(f) return files @property def remote_input_older_than_local(self): files = set() for f in self.remote_input: if (f.exists_remote and f.exists_local) and (f.mtime < f.mtime_local): files.add(f) return files @property def remote_output_newer_than_local(self): files = set() for f in self.remote_output: if (f.exists_remote and f.exists_local) and (f.mtime > f.mtime_local): files.add(f) return files @property def remote_output_older_than_local(self): files = set() for f in self.remote_output: if (f.exists_remote and f.exists_local) and (f.mtime < f.mtime_local): files.add(f) return files def transfer_updated_files(self): for f in self.remote_output_older_than_local | self.remote_input_older_than_local: f.upload_to_remote() for f in self.remote_output_newer_than_local | self.remote_input_newer_than_local: f.download_from_remote() @property def files_to_download(self): toDownload = set() for f in self.input: if f.is_remote: if not f.exists_local and f.exists_remote: toDownload.add(f) toDownload = toDownload | self.remote_input_newer_than_local return toDownload @property def files_to_upload(self): return self.missing_remote_input & self.remote_input_older_than_local @property def existing_output(self): return filter(lambda f: f.exists, self.expanded_output) def check_protected_output(self): protected = list(filter(lambda f: f.protected, self.expanded_output)) if protected: raise ProtectedOutputException(self.rule, protected) def prepare(self): """ Prepare execution of job. This includes creation of directories and deletion of previously created dynamic files. Creates a shadow directory for the job if specified. """ self.check_protected_output() unexpected_output = self.dag.reason(self).missing_output.intersection( self.existing_output) if unexpected_output: logger.warning( "Warning: the following output files of rule {} were not " "present when the DAG was created:\n{}".format( self.rule, unexpected_output)) if self.dynamic_output: for f, _ in chain(*map(self.expand_dynamic, self.rule.dynamic_output)): os.remove(f) for f, f_ in zip(self.output, self.rule.output): f.prepare() for f in self.files_to_download: f.download_from_remote() for f in self.log: f.prepare() if self.benchmark: self.benchmark.prepare() if not self.is_shadow: return # Create shadow directory structure self.shadow_dir = tempfile.mkdtemp( dir=self.rule.workflow.persistence.shadow_path) cwd = os.getcwd() # Shallow simply symlink everything in the working directory. if self.rule.shadow_depth == "shallow": for source in os.listdir(cwd): link = os.path.join(self.shadow_dir, source) os.symlink(os.path.abspath(source), link) elif self.rule.shadow_depth == "full": snakemake_dir = os.path.join(cwd, ".snakemake") for dirpath, dirnames, filenames in os.walk(cwd): # Must exclude .snakemake and its children to avoid infinite # loop of symlinks. if os.path.commonprefix([snakemake_dir, dirpath]) == snakemake_dir: continue for dirname in dirnames: if dirname == ".snakemake": continue relative_source = os.path.relpath(os.path.join(dirpath, dirname)) shadow = os.path.join(self.shadow_dir, relative_source) os.mkdir(shadow) for filename in filenames: source = os.path.join(dirpath, filename) relative_source = os.path.relpath(source) link = os.path.join(self.shadow_dir, relative_source) os.symlink(source, link) def cleanup(self): """ Cleanup output files. """ to_remove = [f for f in self.expanded_output if f.exists] to_remove.extend([f for f in self.remote_input if f.exists]) to_remove.extend([f for f in self.remote_output if f.exists_local]) if to_remove: logger.info("Removing output files of failed job {}" " since they might be corrupted:\n{}".format( self, ", ".join(to_remove))) for f in to_remove: f.remove() self.rmdir_empty_remote_dirs() @property def empty_remote_dirs(self): for f in (set(self.output) | set(self.input)): if f.is_remote: if os.path.exists(os.path.dirname(f)) and not len( os.listdir( os.path.dirname(f))): yield os.path.dirname(f) def rmdir_empty_remote_dirs(self): for d in self.empty_remote_dirs: try: os.removedirs(d) except: pass # it's ok if we can't remove the leaf def format_wildcards(self, string, **variables): """ Format a string with variables from the job. """ _variables = dict() _variables.update(self.rule.workflow.globals) _variables.update(dict(input=self.input, output=self.output, params=self.params, wildcards=self._format_wildcards, threads=self.threads, resources=self.resources, log=self.log, version=self.rule.version, rule=self.rule.name, )) _variables.update(variables) try: return format(string, **_variables) except NameError as ex: raise RuleException("NameError: " + str(ex), rule=self.rule) except IndexError as ex: raise RuleException("IndexError: " + str(ex), rule=self.rule) def properties(self, omit_resources="_cores _nodes".split()): resources = { name: res for name, res in self.resources.items() if name not in omit_resources } params = {name: value for name, value in self.params.items()} properties = { "rule": self.rule.name, "local": self.dag.workflow.is_local(self.rule), "input": self.input, "output": self.output, "params": params, "threads": self.threads, "resources": resources } return properties def json(self): return json.dumps(self.properties()) def __repr__(self): return self.rule.name def __eq__(self, other): if other is None: return False return (self.rule == other.rule and ( self.dynamic_output or self.wildcards_dict == other.wildcards_dict) and (self.dynamic_input or self.input == other.input)) def __lt__(self, other): return self.rule.__lt__(other.rule) def __gt__(self, other): return self.rule.__gt__(other.rule) def __hash__(self): return self._hash def expand_dynamic(self, pattern): """ Expand dynamic files. """ return list(listfiles(pattern, restriction=self.wildcards, omit_value=_IOFile.dynamic_fill)) class Reason: def __init__(self): self.updated_input = set() self.updated_input_run = set() self.missing_output = set() self.incomplete_output = set() self.forced = False self.noio = False self.nooutput = False self.derived = True def __str__(self): s = list() if self.forced: s.append("Forced execution") else: if self.noio: s.append("Rules with neither input nor " "output files are always executed.") elif self.nooutput: s.append("Rules with a run or shell declaration but no output " "are always executed.") else: if self.missing_output: s.append("Missing output files: {}".format( ", ".join(self.missing_output))) if self.incomplete_output: s.append("Incomplete output files: {}".format( ", ".join(self.incomplete_output))) updated_input = self.updated_input - self.updated_input_run if updated_input: s.append("Updated input files: {}".format( ", ".join(updated_input))) if self.updated_input_run: s.append("Input files updated by another job: {}".format( ", ".join(self.updated_input_run))) s = "; ".join(s) return s def __bool__(self): return bool(self.updated_input or self.missing_output or self.forced or self.updated_input_run or self.noio or self.nooutput) snakemake-snakemake-4c7c76effe4d/snakemake/jobscript.sh000066400000000000000000000000611265064562200232420ustar00rootroot00000000000000#!/bin/sh # properties = {properties} {exec_job} snakemake-snakemake-4c7c76effe4d/snakemake/logging.py000066400000000000000000000206301265064562200227130ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import logging as _logging import platform import time import sys import os import json from multiprocessing import Lock import tempfile class ColorizingStreamHandler(_logging.StreamHandler): _output_lock = Lock() BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = range(8) RESET_SEQ = "\033[0m" COLOR_SEQ = "\033[%dm" BOLD_SEQ = "\033[1m" colors = { 'WARNING': YELLOW, 'INFO': GREEN, 'DEBUG': BLUE, 'CRITICAL': RED, 'ERROR': RED } def __init__(self, nocolor=False, stream=sys.stderr, timestamp=False): super().__init__(stream=stream) self.nocolor = nocolor or not self.can_color_tty self.timestamp = timestamp @property def can_color_tty(self): if 'TERM' in os.environ and os.environ['TERM'] == 'dumb': return False return self.is_tty and not platform.system() == 'Windows' @property def is_tty(self): isatty = getattr(self.stream, 'isatty', None) return isatty and isatty() def emit(self, record): with self._output_lock: try: self.format(record) # add the message to the record self.stream.write(self.decorate(record)) self.stream.write(getattr(self, 'terminator', '\n')) self.flush() except BrokenPipeError as e: raise e except (KeyboardInterrupt, SystemExit): # ignore any exceptions in these cases as any relevant messages have been printed before pass except Exception as e: self.handleError(record) def decorate(self, record): message = [record.message] if self.timestamp: message.insert(0, "[{}] ".format(time.asctime())) if not self.nocolor and record.levelname in self.colors: message.insert(0, self.COLOR_SEQ % (30 + self.colors[record.levelname])) message.append(self.RESET_SEQ) return "".join(message) class Logger: def __init__(self): self.logger = _logging.getLogger(__name__) self.log_handler = [self.text_handler] self.stream_handler = None self.printshellcmds = False self.printreason = False def setup(self): # logfile output is done always self.logfile_fd, self.logfile = tempfile.mkstemp( prefix="", suffix=".snakemake.log") self.logfile_handler = _logging.FileHandler(self.logfile) self.logger.addHandler(self.logfile_handler) def cleanup(self): self.logger.removeHandler(self.logfile_handler) self.logfile_handler.close() os.close(self.logfile_fd) os.remove(self.logfile) def get_logfile(self): self.logfile_handler.flush() return self.logfile def handler(self, msg): for handler in self.log_handler: handler(msg) def set_stream_handler(self, stream_handler): if self.stream_handler is not None: self.logger.removeHandler(self.stream_handler) self.stream_handler = stream_handler self.logger.addHandler(stream_handler) def set_level(self, level): self.logger.setLevel(level) def info(self, msg): self.handler(dict(level="info", msg=msg)) def warning(self, msg): self.handler(dict(level="warning", msg=msg)) def debug(self, msg): self.handler(dict(level="debug", msg=msg)) def error(self, msg): self.handler(dict(level="error", msg=msg)) def progress(self, done=None, total=None): self.handler(dict(level="progress", done=done, total=total)) def resources_info(self, msg): self.handler(dict(level="resources_info", msg=msg)) def run_info(self, msg): self.handler(dict(level="run_info", msg=msg)) def job_info(self, **msg): msg["level"] = "job_info" self.handler(msg) def shellcmd(self, msg): if msg is not None: self.handler(dict(level="shellcmd", msg=msg)) def job_finished(self, **msg): msg["level"] = "job_finished" self.handler(msg) def rule_info(self, **msg): msg["level"] = "rule_info" self.handler(msg) def d3dag(self, **msg): msg["level"] = "d3dag" self.handler(msg) def text_handler(self, msg): """The default snakemake log handler. Prints the output to the console. Args: msg (dict): the log message dictionary """ def job_info(msg): def format_item(item, omit=None, valueformat=str): value = msg[item] if value != omit: return "\t{}: {}".format(item, valueformat(value)) yield "{}rule {}:".format("local" if msg["local"] else "", msg["name"]) for item in "input output log".split(): fmt = format_item(item, omit=[], valueformat=", ".join) if fmt != None: yield fmt singleitems = ["benchmark"] if self.printreason: singleitems.append("reason") for item in singleitems: fmt = format_item(item, omit=None) if fmt != None: yield fmt for item, omit in zip("priority threads".split(), [0, 1]): fmt = format_item(item, omit=omit) if fmt != None: yield fmt resources = format_resources(msg["resources"]) if resources: yield "\tresources: " + resources level = msg["level"] if level == "info": self.logger.warning(msg["msg"]) if level == "warning": self.logger.warning(msg["msg"]) elif level == "error": self.logger.error(msg["msg"]) elif level == "debug": self.logger.debug(msg["msg"]) elif level == "resources_info": self.logger.warning(msg["msg"]) elif level == "run_info": self.logger.warning(msg["msg"]) elif level == "progress" and not self.quiet: done = msg["done"] total = msg["total"] self.logger.info("{} of {} steps ({:.0%}) done".format( done, total, done / total)) elif level == "job_info": if not self.quiet: if msg["msg"] is not None: self.logger.info(msg["msg"]) else: self.logger.info("\n".join(job_info(msg))) elif level == "shellcmd": if self.printshellcmds: self.logger.warning(msg["msg"]) elif level == "job_finished": # do not display this on the console for now pass elif level == "rule_info": self.logger.info(msg["name"]) if msg["docstring"]: self.logger.info("\t" + msg["docstring"]) elif level == "d3dag": print(json.dumps({"nodes": msg["nodes"], "links": msg["edges"]})) def format_resources(resources, omit_resources="_cores _nodes".split()): return ", ".join("{}={}".format(name, value) for name, value in resources.items() if name not in omit_resources) def format_resource_names(resources, omit_resources="_cores _nodes".split()): return ", ".join(name for name in resources if name not in omit_resources) logger = Logger() def setup_logger(handler=None, quiet=False, printshellcmds=False, printreason=False, nocolor=False, stdout=False, debug=False, timestamp=False): logger.setup() if handler is not None: # custom log handler logger.log_handler.append(handler) else: # console output only if no custom logger was specified stream_handler = ColorizingStreamHandler( nocolor=nocolor, stream=sys.stdout if stdout else sys.stderr, timestamp=timestamp) logger.set_stream_handler(stream_handler) logger.set_level(_logging.DEBUG if debug else _logging.INFO) logger.quiet = quiet logger.printshellcmds = printshellcmds logger.printreason = printreason snakemake-snakemake-4c7c76effe4d/snakemake/output_index.py000066400000000000000000000027401265064562200240160ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" from collections import defaultdict from snakemake.io import _IOFile class Node: __slots__ = ["rules", "children"] def __init__(self): self.rules = set() self.children = defaultdict(Node) def __repr__(self): return "({}) -> {}".format(list(map(str, self.rules)), dict(self.children)) class OutputIndex: def __init__(self, rules): self.root = Node() for rule in rules: output = list(rule.output) if rule.benchmark: output.append(rule.benchmark) for constant_prefix in sorted(map(_IOFile.constant_prefix, output)): self.add_output(rule, constant_prefix) def add_output(self, rule, constant_prefix): node = self.root for c in constant_prefix: node = node.children[c] if rule in node.rules: # a prefix of file f is already recorded for this rule # hence we can stop here return node.rules.add(rule) def match(self, f): node = self.root for c in f: for rule in node.rules: yield rule node = node.children.get(c, None) if node is None: return for rule in node.rules: yield rule snakemake-snakemake-4c7c76effe4d/snakemake/parser.py000066400000000000000000000505301265064562200225630ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import tokenize import textwrap import os from urllib.error import HTTPError, URLError, ContentTooShortError import urllib.request from io import TextIOWrapper from snakemake.exceptions import WorkflowError dd = textwrap.dedent INDENT = "\t" def is_newline(token, newline_tokens=set((tokenize.NEWLINE, tokenize.NL))): return token.type in newline_tokens def is_indent(token): return token.type == tokenize.INDENT def is_dedent(token): return token.type == tokenize.DEDENT def is_op(token): return token.type == tokenize.OP def is_greater(token): return is_op(token) and token.string == ">" def is_comma(token): return is_op(token) and token.string == "," def is_name(token): return token.type == tokenize.NAME def is_colon(token): return is_op(token) and token.string == ":" def is_comment(token): return token.type == tokenize.COMMENT def is_string(token): return token.type == tokenize.STRING def is_eof(token): return token.type == tokenize.ENDMARKER def lineno(token): return token.start[0] class StopAutomaton(Exception): def __init__(self, token): self.token = token class TokenAutomaton: subautomata = dict() def __init__(self, snakefile, base_indent=0, dedent=0, root=True): self.root = root self.snakefile = snakefile self.state = None self.base_indent = base_indent self.line = 0 self.indent = 0 self.was_indented = False self.lasttoken = None self._dedent = dedent @property def dedent(self): return self._dedent @property def effective_indent(self): return self.base_indent + self.indent - self.dedent def indentation(self, token): if is_indent(token) or is_dedent(token): self.indent = token.end[1] - self.base_indent self.was_indented |= self.indent > 0 def consume(self): for token in self.snakefile: self.indentation(token) try: for t, orig in self.state(token): if self.lasttoken == "\n" and not t.isspace(): yield INDENT * self.effective_indent, orig yield t, orig self.lasttoken = t except tokenize.TokenError as e: self.error( str(e).split(",")[0].strip("()''"), token ) # TODO the inferred line number seems to be wrong sometimes def error(self, msg, token): raise SyntaxError(msg, (self.snakefile.path, lineno(token), None, None)) def subautomaton(self, automaton, *args, **kwargs): return self.subautomata[automaton]( self.snakefile, *args, base_indent=self.base_indent + self.indent, dedent=self.dedent, root=False, **kwargs) class KeywordState(TokenAutomaton): prefix = "" def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.line = 0 self.state = self.colon @property def keyword(self): return self.__class__.__name__.lower()[len(self.prefix):] def end(self): yield ")" def decorate_end(self, token): for t in self.end(): yield t, token def colon(self, token): if is_colon(token): self.state = self.block for t in self.start(): yield t, token else: self.error("Colon expected after keyword {}.".format(self.keyword), token) def is_block_end(self, token): return (self.line and self.indent <= 0) or is_eof(token) def block(self, token): if self.lasttoken == "\n" and is_comment(token): # ignore lines containing only comments self.line -= 1 if self.is_block_end(token): for t, token_ in self.decorate_end(token): yield t, token_ yield "\n", token raise StopAutomaton(token) if is_newline(token): self.line += 1 yield token.string, token elif not (is_indent(token) or is_dedent(token)): if is_comment(token): yield token.string, token else: for t in self.block_content(token): yield t def yield_indent(self, token): return token.string, token def block_content(self, token): yield token.string, token class GlobalKeywordState(KeywordState): def start(self): yield "workflow.{keyword}(".format(keyword=self.keyword) class DecoratorKeywordState(KeywordState): decorator = None args = list() def start(self): yield "@workflow.{}".format(self.decorator) yield "\n" yield "def __{}({}):".format(self.decorator, ", ".join(self.args)) def end(self): yield "" class RuleKeywordState(KeywordState): def __init__(self, snakefile, base_indent=0, dedent=0, root=True, rulename=None): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.rulename = rulename def start(self): yield "\n" yield "@workflow.{keyword}(".format(keyword=self.keyword) class SubworkflowKeywordState(KeywordState): prefix = "Subworkflow" def start(self): yield ", {keyword}=".format(keyword=self.keyword) def end(self): # no end needed return list() # Global keyword states class Include(GlobalKeywordState): pass class Workdir(GlobalKeywordState): pass class Configfile(GlobalKeywordState): pass class Ruleorder(GlobalKeywordState): def block_content(self, token): if is_greater(token): yield ",", token elif is_name(token): yield '"{}"'.format(token.string), token else: self.error('Expected a descending order of rule names, ' 'e.g. rule1 > rule2 > rule3 ...', token) # subworkflows class SubworkflowSnakefile(SubworkflowKeywordState): pass class SubworkflowWorkdir(SubworkflowKeywordState): pass class Subworkflow(GlobalKeywordState): subautomata = dict(snakefile=SubworkflowSnakefile, workdir=SubworkflowWorkdir) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.name self.has_snakefile = False self.has_workdir = False self.has_name = False self.primary_token = None def end(self): if not (self.has_snakefile or self.has_workdir): self.error( "A subworkflow needs either a path to a Snakefile or to a workdir.", self.primary_token) yield ")" def name(self, token): if is_name(token): yield "workflow.subworkflow('{name}'".format( name=token.string), token self.has_name = True elif is_colon(token) and self.has_name: self.primary_token = token self.state = self.block else: self.error("Expected name after subworkflow keyword.", token) def block_content(self, token): if is_name(token): try: if token.string == "snakefile": self.has_snakefile = True if token.string == "workdir": self.has_workdir = True for t in self.subautomaton(token.string).consume(): yield t except KeyError: self.error("Unexpected keyword {} in " "subworkflow definition".format(token.string), token) except StopAutomaton as e: self.indentation(e.token) for t in self.block(e.token): yield t elif is_comment(token): yield "\n", token yield token.string, token elif is_string(token): # ignore docstring pass else: self.error("Expecting subworkflow keyword, comment or docstrings " "inside a subworkflow definition.", token) class Localrules(GlobalKeywordState): def block_content(self, token): if is_comma(token): yield ",", token elif is_name(token): yield '"{}"'.format(token.string), token else: self.error('Expected a comma separated list of rules that shall ' 'not be executed by the cluster command.', token) # Rule keyword states class Input(RuleKeywordState): pass class Output(RuleKeywordState): pass class Params(RuleKeywordState): pass class Threads(RuleKeywordState): pass class Shadow(RuleKeywordState): pass class Resources(RuleKeywordState): pass class Priority(RuleKeywordState): pass class Version(RuleKeywordState): pass class Log(RuleKeywordState): pass class Message(RuleKeywordState): pass class Benchmark(RuleKeywordState): pass class Run(RuleKeywordState): def __init__(self, snakefile, rulename, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.rulename = rulename def start(self): yield "@workflow.run" yield "\n" yield ("def __rule_{rulename}(input, output, params, wildcards, threads, " "resources, log, version):".format(rulename=self.rulename if self.rulename is not None else self.snakefile.rulecount)) def end(self): yield "" def is_block_end(self, token): return (self.line and self.was_indented and self.indent <= 0 ) or is_eof(token) class Shell(Run): overwrite_shellcmd = None def __init__(self, snakefile, rulename, base_indent=0, dedent=0, root=True): super().__init__(snakefile, rulename, base_indent=base_indent, dedent=dedent, root=root) self.shellcmd = list() self.token = None if self.overwrite_shellcmd is not None: self.block_content = self.overwrite_block_content def is_block_end(self, token): return (self.line and self.indent <= 0) or is_eof(token) def start(self): yield "@workflow.shellcmd(" def end(self): # the end is detected. So we can savely reset the indent to zero here self.indent = 0 yield ")" yield "\n" for t in super().start(): yield t yield "\n" yield INDENT * (self.effective_indent + 1) yield "shell(" yield "\n".join(self.shellcmd) yield "\n" yield ")" for t in super().end(): yield t def decorate_end(self, token): if self.token is None: # no block after shell keyword self.error( "Shell command must be given as string after the shell keyword.", token) for t in self.end(): yield t, self.token def block_content(self, token): self.token = token self.shellcmd.append(token.string) yield token.string, token def overwrite_block_content(self, token): if self.token is None: self.token = token shellcmd = '"{}"'.format(self.overwrite_shellcmd) self.shellcmd.append(shellcmd) yield shellcmd, token class Script(Run): def __init__(self, snakefile, rulename, base_indent=0, dedent=0, root=True): super().__init__(snakefile, rulename, base_indent=base_indent, dedent=dedent, root=root) self.path = list() self.token = None def is_block_end(self, token): return (self.line and self.indent <= 0) or is_eof(token) def start(self): for t in super().start(): yield t yield "\n" yield INDENT * (self.effective_indent + 1) yield "script(" yield '"{}"'.format( os.path.abspath(os.path.dirname(self.snakefile.path))) yield ", " def end(self): # the end is detected. So we can savely reset the indent to zero here self.indent = 0 yield ", input, output, params, wildcards, threads, resources, log, config" yield ")" for t in super().end(): yield t def decorate_end(self, token): if self.token is None: # no block after script keyword self.error( "Script path must be given as string after the script keyword.", token) for t in self.end(): yield t, self.token def block_content(self, token): self.token = token self.path.append(token.string) yield token.string, token class Wrapper(Script): def start(self): for t in super(Script, self).start(): yield t yield "\n" yield INDENT * (self.effective_indent + 1) yield 'wrapper(' class Rule(GlobalKeywordState): subautomata = dict(input=Input, output=Output, params=Params, threads=Threads, resources=Resources, priority=Priority, version=Version, log=Log, message=Message, benchmark=Benchmark, shadow=Shadow, run=Run, shell=Shell, script=Script, wrapper=Wrapper) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.name self.lineno = None self.rulename = None self.run = False self.snakefile.rulecount += 1 def start(self): yield ("@workflow.rule(name={rulename}, lineno={lineno}, " "snakefile='{snakefile}')".format( rulename=("'{}'".format(self.rulename) if self.rulename is not None else None), lineno=self.lineno, snakefile=self.snakefile.path.replace('\\', '\\\\'))) def end(self): if not self.run: yield "@workflow.norun()" yield "\n" for t in self.subautomaton("run", rulename=self.rulename).start(): yield t # the end is detected. # So we can savely reset the indent to zero here self.indent = 0 yield "\n" yield INDENT * (self.effective_indent + 1) yield "pass" def name(self, token): if is_name(token): self.rulename = token.string elif is_colon(token): self.lineno = self.snakefile.lines + 1 self.state = self.block for t in self.start(): yield t, token else: self.error("Expected name or colon after rule keyword.", token) def block_content(self, token): if is_name(token): try: if token.string == "run" or token.string == "shell" or token.string == "script" or token.string == "wrapper": if self.run: raise self.error( "Multiple run or shell keywords in rule {}.".format( self.rulename), token) self.run = True for t in self.subautomaton(token.string, rulename=self.rulename).consume(): yield t except KeyError: self.error("Unexpected keyword {} in " "rule definition".format(token.string), token) except StopAutomaton as e: self.indentation(e.token) for t in self.block(e.token): yield t elif is_comment(token): yield "\n", token yield token.string, token elif is_string(token): yield "\n", token yield "@workflow.docstring({})".format(token.string), token else: self.error("Expecting rule keyword, comment or docstrings " "inside a rule definition.", token) @property def dedent(self): return self.indent class OnSuccess(DecoratorKeywordState): decorator = "onsuccess" args = ["log"] class OnError(DecoratorKeywordState): decorator = "onerror" args = ["log"] class Python(TokenAutomaton): subautomata = dict(include=Include, workdir=Workdir, configfile=Configfile, ruleorder=Ruleorder, rule=Rule, subworkflow=Subworkflow, localrules=Localrules, onsuccess=OnSuccess, onerror=OnError) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.python def python(self, token): if not (is_indent(token) or is_dedent(token)): if self.lasttoken is None or self.lasttoken.isspace(): try: for t in self.subautomaton(token.string).consume(): yield t except KeyError: yield token.string, token except StopAutomaton as e: self.indentation(e.token) for t in self.python(e.token): yield t else: yield token.string, token class Snakefile: def __init__(self, path, rulecount=0): self.path = path try: self.file = open(self.path, encoding="utf-8") except FileNotFoundError as e: try: self.file = TextIOWrapper(urllib.request.urlopen(self.path), encoding="utf-8") except (HTTPError, URLError, ContentTooShortError, ValueError): raise WorkflowError("Failed to open {}.".format(path)) self.tokens = tokenize.generate_tokens(self.file.readline) self.rulecount = rulecount self.lines = 0 def __next__(self): return next(self.tokens) def __iter__(self): return self def __enter__(self): return self def __exit__(self, *args): self.file.close() def format_tokens(tokens): t_ = None for t in tokens: if t_ and not t.isspace() and not t_.isspace(): yield " " yield t t_ = t def parse(path, overwrite_shellcmd=None, rulecount=0): Shell.overwrite_shellcmd = overwrite_shellcmd with Snakefile(path, rulecount=rulecount) as snakefile: automaton = Python(snakefile) linemap = dict() compilation = list() for t, orig_token in automaton.consume(): l = lineno(orig_token) linemap.update(dict((i, l) for i in range( snakefile.lines + 1, snakefile.lines + t.count("\n") + 1))) snakefile.lines += t.count("\n") compilation.append(t) compilation = "".join(format_tokens(compilation)) if linemap: last = max(linemap) linemap[last + 1] = linemap[last] return compilation, linemap, snakefile.rulecount snakemake-snakemake-4c7c76effe4d/snakemake/persistence.py000066400000000000000000000254061265064562200236170ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import shutil import signal import marshal import pickle from base64 import urlsafe_b64encode from functools import lru_cache, partial from itertools import filterfalse, count from snakemake.logging import logger from snakemake.jobs import jobfiles from snakemake.utils import listfiles class Persistence: def __init__(self, nolock=False, dag=None, warn_only=False): self.path = os.path.abspath(".snakemake") if not os.path.exists(self.path): os.mkdir(self.path) self._lockdir = os.path.join(self.path, "locks") if not os.path.exists(self._lockdir): os.mkdir(self._lockdir) self.dag = dag self._lockfile = dict() self._incomplete_path = os.path.join(self.path, "incomplete_files") self._version_path = os.path.join(self.path, "version_tracking") self._code_path = os.path.join(self.path, "code_tracking") self._rule_path = os.path.join(self.path, "rule_tracking") self._input_path = os.path.join(self.path, "input_tracking") self._params_path = os.path.join(self.path, "params_tracking") self._shellcmd_path = os.path.join(self.path, "shellcmd_tracking") self.shadow_path = os.path.join(self.path, "shadow") for d in (self._incomplete_path, self._version_path, self._code_path, self._rule_path, self._input_path, self._params_path, self._shellcmd_path, self.shadow_path): if not os.path.exists(d): os.mkdir(d) if nolock: self.lock = self.noop self.unlock = self.noop if warn_only: self.lock = self.lock_warn_only self.unlock = self.noop @property def files(self): if self._files is None: self._files = set(self.dag.output_files) return self._files @property def locked(self): inputfiles = set(self.all_inputfiles()) outputfiles = set(self.all_outputfiles()) if os.path.exists(self._lockdir): for lockfile in self._locks("input"): with open(lockfile) as lock: for f in lock: if f in outputfiles: return True for lockfile in self._locks("output"): with open(lockfile) as lock: for f in lock: if f in outputfiles or f in inputfiles: return True return False def lock_warn_only(self): if self.locked: logger.info( "Error: Directory cannot be locked. This usually " "means that another Snakemake instance is running on this directory." "Another possiblity is that a previous run exited unexpectedly.") def lock(self): if self.locked: raise IOError("Another snakemake process " "has locked this directory.") self._lock(self.all_inputfiles(), "input") self._lock(self.all_outputfiles(), "output") def unlock(self, *args): logger.debug("unlocking") for lockfile in self._lockfile.values(): try: logger.debug("removing lock") os.remove(lockfile) except OSError as e: if e.errno != 2: # missing file raise e logger.debug("removed all locks") def cleanup_locks(self): shutil.rmtree(self._lockdir) def cleanup_metadata(self, path): self._delete_record(self._incomplete_path, path) self._delete_record(self._version_path, path) self._delete_record(self._code_path, path) self._delete_record(self._rule_path, path) self._delete_record(self._input_path, path) self._delete_record(self._params_path, path) self._delete_record(self._shellcmd_path, path) def cleanup_shadow(self): if os.path.exists(self.shadow_path): shutil.rmtree(self.shadow_path) os.mkdir(self.shadow_path) def started(self, job): for f in job.output: self._record(self._incomplete_path, "", f) def finished(self, job): version = str( job.rule.version) if job.rule.version is not None else None code = self._code(job.rule) input = self._input(job) params = self._params(job) shellcmd = self._shellcmd(job) for f in job.expanded_output: self._delete_record(self._incomplete_path, f) self._record(self._version_path, version, f) self._record(self._code_path, code, f, bin=True) self._record(self._rule_path, job.rule.name, f) self._record(self._input_path, input, f) self._record(self._params_path, params, f) self._record(self._shellcmd_path, shellcmd, f) def cleanup(self, job): for f in job.expanded_output: self._delete_record(self._incomplete_path, f) self._delete_record(self._version_path, f) self._delete_record(self._code_path, f) self._delete_record(self._rule_path, f) self._delete_record(self._input_path, f) self._delete_record(self._params_path, f) self._delete_record(self._shellcmd_path, f) def incomplete(self, job): marked_incomplete = partial(self._exists_record, self._incomplete_path) return any( map(lambda f: f.exists and marked_incomplete(f), job.output)) def version(self, path): return self._read_record(self._version_path, path) def rule(self, path): return self._read_record(self._rule_path, path) def input(self, path): files = self._read_record(self._input_path, path) if files is not None: return files.split("\n") return None def shellcmd(self, path): return self._read_record(self._shellcmd_path, path) def version_changed(self, job, file=None): cr = partial(self._changed_records, self._version_path, job.rule.version) if file is None: return cr(*job.output) else: return bool(list(cr(file))) def code_changed(self, job, file=None): cr = partial(self._changed_records, self._code_path, self._code(job.rule), bin=True) if file is None: return cr(*job.output) else: return bool(list(cr(file))) def input_changed(self, job, file=None): cr = partial(self._changed_records, self._input_path, self._input(job)) if file is None: return cr(*job.output) else: return bool(list(cr(file))) def params_changed(self, job, file=None): cr = partial(self._changed_records, self._params_path, self._params(job)) if file is None: return cr(*job.output) else: return bool(list(cr(file))) def noop(self, *args): pass def _b64id(self, s): return urlsafe_b64encode(str(s).encode()).decode() @lru_cache() def _code(self, rule): code = rule.run_func.__code__ return pickle_code(code) @lru_cache() def _input(self, job): return "\n".join(sorted(job.input)) @lru_cache() def _params(self, job): return "\n".join(sorted(map(repr, job.params))) @lru_cache() def _output(self, job): return sorted(job.output) @lru_cache() def _shellcmd(self, job): return job.shellcmd def _record(self, subject, value, id, bin=False): recpath = self._record_path(subject, id) if value is not None: os.makedirs(os.path.dirname(recpath), exist_ok=True) with open(recpath, "wb" if bin else "w") as f: f.write(value) else: if os.path.exists(recpath): os.remove(recpath) def _delete_record(self, subject, id): try: recpath = self._record_path(subject, id) os.remove(recpath) recdirs = os.path.relpath(os.path.dirname(recpath), start=subject) if recdirs != ".": os.removedirs(recdirs) except OSError as e: if e.errno != 2: # not missing raise e def _read_record(self, subject, id, bin=False): if not self._exists_record(subject, id): return None with open(self._record_path(subject, id), "rb" if bin else "r") as f: return f.read() def _changed_records(self, subject, value, *ids, bin=False): equals = partial(self._equals_record, subject, value, bin=bin) return filter( lambda id: self._exists_record(subject, id) and not equals(id), ids) def _equals_record(self, subject, value, id, bin=False): return self._read_record(subject, id, bin=bin) == value def _exists_record(self, subject, id): return os.path.exists(self._record_path(subject, id)) def _locks(self, type): return (f for f, _ in listfiles( os.path.join(self._lockdir, "{{n,[0-9]+}}.{}.lock".format(type))) if not os.path.isdir(f)) def _lock(self, files, type): for i in count(0): lockfile = os.path.join(self._lockdir, "{}.{}.lock".format(i, type)) if not os.path.exists(lockfile): self._lockfile[type] = lockfile with open(lockfile, "w") as lock: print(*files, sep="\n", file=lock) return def _record_path(self, subject, id): max_len = os.pathconf( subject, "PC_NAME_MAX") if os.name == "posix" else 255 # maximum NTFS and FAT32 filename length b64id = self._b64id(id) # split into chunks of proper length b64id = [b64id[i:i + max_len - 1] for i in range(0, len(b64id), max_len - 1)] # prepend dirs with @ (does not occur in b64) to avoid conflict with b64-named files in the same dir b64id = ["@" + s for s in b64id[:-1]] + [b64id[-1]] path = os.path.join(subject, *b64id) return path def all_outputfiles(self): # we only look at output files that will be updated return jobfiles(self.dag.needrun_jobs, "output") def all_inputfiles(self): # we consider all input files, also of not running jobs return jobfiles(self.dag.jobs, "input") def pickle_code(code): consts = [(pickle_code(const) if type(const) == type(code) else const) for const in code.co_consts] return pickle.dumps( (code.co_code, code.co_varnames, consts, code.co_names)) snakemake-snakemake-4c7c76effe4d/snakemake/remote/000077500000000000000000000000001265064562200222055ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/snakemake/remote/FTP.py000066400000000000000000000117061265064562200232150ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os, re, ftplib from itertools import product, chain from contextlib import contextmanager # module-specific from snakemake.remote import AbstractRemoteProvider, DomainObject from snakemake.exceptions import FTPFileException, WorkflowError import snakemake.io try: # third-party modules import ftputil import ftputil.session except ImportError as e: raise WorkflowError("The Python 3 package 'ftputil' " + "must be installed to use SFTP remote() file functionality. %s" % e.msg) class RemoteProvider(AbstractRemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) class RemoteObject(DomainObject): """ This is a class to interact with an FTP server. """ def __init__(self, *args, keep_local=False, provider=None, encrypt_data_channel=False, **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) self.encrypt_data_channel = encrypt_data_channel # === Implementations of abstract class members === @contextmanager #makes this a context manager. after 'yield' is __exit__() def ftpc(self): # if args have been provided to remote(), use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, falling back to one specified # as a kwarg to remote() or the RemoteProvider (overriding the latter with the former if both) kwargs_to_use = {} kwargs_to_use["host"] = self.host kwargs_to_use["username"] = None kwargs_to_use["password"] = None kwargs_to_use["port"] = int(self.port) if self.port else 21 kwargs_to_use["encrypt_data_channel"] = self.encrypt_data_channel for k,v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k,v in self.kwargs.items(): kwargs_to_use[k] = v ftp_base_class = ftplib.FTP_TLS if kwargs_to_use["encrypt_data_channel"] else ftplib.FTP ftp_session_factory = ftputil.session.session_factory( base_class=ftp_base_class, port=kwargs_to_use["port"], encrypt_data_channel= kwargs_to_use["encrypt_data_channel"], debug_level=None) conn = ftputil.FTPHost(kwargs_to_use["host"], kwargs_to_use["username"], kwargs_to_use["password"], session_factory=ftp_session_factory) yield conn conn.close() def exists(self): if self._matched_address: with self.ftpc() as ftpc: return ftpc.path.exists(self.remote_path) if ftpc.path.exists(self.remote_path): return ftpc.path.isfile(self.remote_path) return False else: raise SFTPFileException("The file cannot be parsed as an FTP path in form 'host:port/abs/path/to/file': %s" % self.file()) def mtime(self): if self.exists(): with self.ftpc() as ftpc: ftpc.synchronize_times() return ftpc.path.getmtime(self.remote_path) else: raise SFTPFileException("The file does not seem to exist remotely: %s" % self.file()) def size(self): if self.exists(): with self.ftpc() as ftpc: return ftpc.path.getsize(self.remote_path) else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.ftpc() as ftpc: if self.exists(): # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) ftpc.synchronize_times() ftpc.download(source=self.remote_path, target=self.local_path) else: raise SFTPFileException("The file does not seem to exist remotely: %s" % self.file()) def upload(self): with self.ftpc() as ftpc: ftpc.synchronize_times() ftpc.upload(source=self.local_path, target=self.remote_path) @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = first_wildcard.replace(self.path_prefix, "") with self.ftpc() as ftpc: file_list = [(os.path.join(dirpath, f) if dirpath != "." else f) for dirpath, dirnames, filenames in ftpc.walk(dirname) for f in chain(filenames, dirnames)] file_list = [file_path[1:] if file_path[0] == "/" else file_path for file_path in file_list] return file_list snakemake-snakemake-4c7c76effe4d/snakemake/remote/GS.py000066400000000000000000000014501265064562200230700ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # module-specific from snakemake.remote.S3 import RemoteObject, RemoteProvider as S3RemoteProvider from snakemake.exceptions import WorkflowError try: # third-party modules import boto from boto.s3.key import Key from filechunkio import FileChunkIO except ImportError as e: raise WorkflowError("The Python 3 packages 'boto' and 'filechunkio' " + "need to be installed to use S3 remote() file functionality. %s" % e.msg) class RemoteProvider(S3RemoteProvider): def __init__(self, *args, **kwargs): kwargs["host"] = "storage.googleapis.com" super(RemoteProvider, self).__init__(*args, **kwargs) snakemake-snakemake-4c7c76effe4d/snakemake/remote/HTTP.py000066400000000000000000000124731265064562200233450ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os, re, http.client import email.utils #from itertools import product, chain from contextlib import contextmanager # module-specific from snakemake.remote import AbstractRemoteProvider, DomainObject from snakemake.exceptions import HTTPFileException, WorkflowError import snakemake.io try: # third-party modules import requests except ImportError as e: raise WorkflowError("The Python 3 package 'requests' " + "must be installed to use HTTP(S) remote() file functionality. %s" % e.msg) class RemoteProvider(AbstractRemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) class RemoteObject(DomainObject): """ This is a class to interact with an HTTP server. """ def __init__(self, *args, keep_local=False, provider=None, insecure=False, additional_request_string="", **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) self.insecure = insecure self.additional_request_string = additional_request_string # === Implementations of abstract class members === @contextmanager #makes this a context manager. after 'yield' is __exit__() def httpr(self, verb="GET", stream=False): # if args have been provided to remote(), use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, falling back to one specified # as a kwarg to remote() or the RemoteProvider (overriding the latter with the former if both) kwargs_to_use = {} kwargs_to_use["username"] = None kwargs_to_use["password"] = None kwargs_to_use["auth"] = None for k,v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k,v in self.kwargs.items(): kwargs_to_use[k] = v if kwargs_to_use["username"] and kwargs_to_use["password"]: kwargs_to_use["auth"] = ('user', 'pass') else: del kwargs_to_use["username"] del kwargs_to_use["password"] url = self._iofile._file + self.additional_request_string # default to HTTPS if not self.insecure: protocol = "https://" else: protocol = "http://" url = protocol + url if verb.upper() == "GET": r = requests.get(url, *args_to_use, stream=stream, **kwargs_to_use) if verb.upper() == "HEAD": r = requests.head(url, *args_to_use, **kwargs_to_use) yield r r.close() def exists(self): if self._matched_address: with self.httpr(verb="HEAD") as httpr: return httpr.status_code == requests.codes.ok return False else: raise HTTPFileException("The file cannot be parsed as an HTTP path in form 'host:port/abs/path/to/file': %s" % self.file()) def mtime(self): if self.exists(): with self.httpr(verb="HEAD") as httpr: file_mtime = self.get_header_item(httpr, "last-modified", default=0) modified_tuple = email.utils.parsedate_tz(file_mtime) epochTime = int(email.utils.mktime_tz(modified_tuple)) return epochTime else: raise HTTPFileException("The file does not seem to exist remotely: %s" % self.file()) def size(self): if self.exists(): with self.httpr(verb="HEAD") as httpr: content_size = int(self.get_header_item(httpr, "content-size", default=0)) return content_size else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.httpr(stream=True) as httpr: if self.exists(): # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) with open(self.local_path, 'wb') as f: for chunk in httpr.iter_content(chunk_size=1024): if chunk: # filter out keep-alives f.write(chunk) else: raise HTTPFileException("The file does not seem to exist remotely: %s" % self.file()) def upload(self): raise HTTPFileException("Upload is not permitted for the HTTP remote provider. Is an output set to HTTP.remote()?") def get_header_item(self, httpr, header_name, default): """ Since HTTP header capitalization may differ, this returns a header value regardless of case """ header_value = default for k,v in httpr.headers.items(): if k.lower() == header_name: header_value = v return header_value @property def list(self): raise HTTPFileException("The HTTP Remote Provider does not currently support list-based operations like glob_wildcards().") snakemake-snakemake-4c7c76effe4d/snakemake/remote/S3.py000066400000000000000000000412511265064562200230470ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os, re, sys import math import time import email.utils from time import mktime import datetime import functools import concurrent.futures # module-specific from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import MissingOutputException, WorkflowError, WildcardError, RemoteFileException, S3FileException import snakemake.io try: # third-party modules import boto from boto.s3.key import Key from filechunkio import FileChunkIO except ImportError as e: raise WorkflowError("The Python 3 packages 'boto' and 'filechunkio' " + "need to be installed to use S3 remote() file functionality. %s" % e.msg) class RemoteProvider(AbstractRemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) self._s3c = S3Helper(*args, **kwargs) def remote_interface(self): return self._s3c class RemoteObject(AbstractRemoteObject): """ This is a class to interact with the AWS S3 object store. """ def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) if provider: self._s3c = provider.remote_interface() else: self._s3c = S3Helper(*args, **kwargs) # === Implementations of abstract class members === def exists(self): if self._matched_s3_path: return self._s3c.exists_in_bucket(self.s3_bucket, self.s3_key) else: raise S3FileException("The file cannot be parsed as an s3 path in form 'bucket/key': %s" % self.file()) def mtime(self): if self.exists(): return self._s3c.key_last_modified(self.s3_bucket, self.s3_key) else: raise S3FileException("The file does not seem to exist remotely: %s" % self.file()) def size(self): if self.exists(): return self._s3c.key_size(self.s3_bucket, self.s3_key) else: return self._iofile.size_local def download(self): self._s3c.download_from_s3(self.s3_bucket, self.s3_key, self.file()) def upload(self): if self.size() > 10 * 1024 * 1024: # S3 complains if multipart uploads are <10MB self._s3c.upload_to_s3_multipart(self.s3_bucket, self.file(), self.s3_key) else: self._s3c.upload_to_s3(self.s3_bucket, self.file(), self.s3_key) @property def list(self): return [k.name for k in self._s3c.list_keys(self.s3_bucket)] # === Related methods === @property def _matched_s3_path(self): return re.search("(?P[^/]*)/(?P.*)", self.file()) @property def s3_bucket(self): if len(self._matched_s3_path.groups()) == 2: return self._matched_s3_path.group("bucket") return None @property def name(self): return self.s3_key @property def s3_key(self): if len(self._matched_s3_path.groups()) == 2: return self._matched_s3_path.group("key") def s3_create_stub(self): if self._matched_s3_path: if not self.exists: self._s3c.download_from_s3(self.s3_bucket, self.s3_key, self.file, create_stub_only=True) else: raise S3FileException("The file to be downloaded cannot be parsed as an s3 path in form 'bucket/key': %s" % self.file()) class S3Helper(object): def __init__(self, *args, **kwargs): # as per boto, expects the environment variables to be set: # AWS_ACCESS_KEY_ID # AWS_SECRET_ACCESS_KEY # Otherwise these values need to be passed in as kwargs # allow key_id and secret to be specified with aws_, gs_, or no prefix. # Standardize to the aws_ prefix expected by boto. if "gs_access_key_id" in kwargs: kwargs["aws_access_key_id"] = kwargs.pop("gs_access_key_id") if "gs_secret_access_key" in kwargs: kwargs["aws_secret_access_key"] = kwargs.pop("gs_secret_access_key") if "access_key_id" in kwargs: kwargs["aws_access_key_id"] = kwargs.pop("access_key_id") if "secret_access_key" in kwargs: kwargs["aws_secret_access_key"] = kwargs.pop("secret_access_key") self.conn = boto.connect_s3(*args, **kwargs) def upload_to_s3( self, bucket_name, file_path, key=None, use_relative_path_for_key=True, relative_start_dir=None, replace=False, reduced_redundancy=False, headers=None): """ Upload a file to S3 This function uploads a file to an AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) file_path: The path to the file to upload. key: The key to set for the file on S3. If not specified, this will default to the name of the file. use_relative_path_for_key: If set to True (default), and key is None, the S3 key will include slashes representing the path of the file relative to the CWD. If False only the file basename will be used for the key. relative_start_dir: The start dir to use for use_relative_path_for_key. No effect if key is set. replace: If True a file with the same key will be replaced with the one being written reduced_redundancy: Sets the file to AWS reduced redundancy storage. headers: additional heads to pass to AWS Returns: The key of the file on S3 if written, None otherwise """ file_path = os.path.realpath(os.path.expanduser(file_path)) assert bucket_name, "bucket_name must be specified" assert os.path.exists(file_path), "The file path specified does not exist: %s" % file_path assert os.path.isfile(file_path), "The file path specified does not appear to be a file: %s" % file_path try: b = self.conn.get_bucket(bucket_name) except: b = self.conn.create_bucket(bucket_name) k = Key(b) if key: k.key = key else: if use_relative_path_for_key: if relative_start_dir: path_key = os.path.relpath(file_path, relative_start_dir) else: path_key = os.path.relpath(file_path) else: path_key = os.path.basename(file_path) k.key = path_key try: bytes_written = k.set_contents_from_filename( file_path, replace=replace, reduced_redundancy=reduced_redundancy, headers=headers) if bytes_written: return k.key else: return None except: return None def download_from_s3( self, bucket_name, key, destination_path=None, expandKeyIntoDirs=True, make_dest_dirs=True, headers=None, create_stub_only=False): """ Download a file from s3 This function downloads an object from a specified AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) destination_path: If specified, the file will be saved to this path, otherwise cwd. expandKeyIntoDirs: Since S3 keys can include slashes, if this is True (defult) then S3 keys with slashes are expanded into directories on the receiving end. If it is False, the key is passed to os.path.basename() to get the substring following the last slash. make_dest_dirs: If this is True (default) and the destination path includes directories that do not exist, they will be created. headers: Additional headers to pass to AWS Returns: The destination path of the downloaded file on the receiving end, or None if the destination_path could not be downloaded """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" b = self.conn.get_bucket(bucket_name) k = Key(b) if destination_path: destination_path = os.path.realpath(os.path.expanduser(destination_path)) else: if expandKeyIntoDirs: destination_path = os.path.join(os.getcwd(), key) else: destination_path = os.path.join(os.getcwd(), os.path.basename(key)) # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(destination_path), exist_ok=True) k.key = key if key else os.path.basename(destination_path) try: if not create_stub_only: k.get_contents_to_filename(destination_path, headers=headers) else: # just create an empty file with the right timestamps with open(destination_path, 'wb') as fp: modified_tuple = email.utils.parsedate_tz(k.last_modified) modified_stamp = int(email.utils.mktime_tz(modified_tuple)) os.utime(fp.name, (modified_stamp, modified_stamp)) return destination_path except: return None def _upload_part(self, bucket_name, multipart_id, part_num, source_path, offset, bytes_to_write, number_of_retries=5): def _upload(retries_remaining=number_of_retries): try: b = self.conn.get_bucket(bucket_name) for mp in b.get_all_multipart_uploads(): if mp.id == multipart_id: with FileChunkIO(source_path, 'r', offset=offset, bytes=bytes_to_write) as fp: mp.upload_part_from_file(fp=fp, part_num=part_num) break except Exception() as e: if retries_remaining: _upload(retries_remaining=retries_remaining - 1) else: raise e _upload() def upload_to_s3_multipart( self, bucket_name, file_path, key=None, use_relative_path_for_key=True, relative_start_dir=None, replace=False, reduced_redundancy=False, headers=None, parallel_processes=4): """ Upload a file to S3 This function uploads a file to an AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) file_path: The path to the file to upload. key: The key to set for the file on S3. If not specified, this will default to the name of the file. use_relative_path_for_key: If set to True (default), and key is None, the S3 key will include slashes representing the path of the file relative to the CWD. If False only the file basename will be used for the key. relative_start_dir: The start dir to use for use_relative_path_for_key. No effect if key is set. replace: If True a file with the same key will be replaced with the one being written reduced_redundancy: Sets the file to AWS reduced redundancy storage. headers: additional heads to pass to AWS parallel_processes: Number of concurrent uploads Returns: The key of the file on S3 if written, None otherwise """ file_path = os.path.realpath(os.path.expanduser(file_path)) assert bucket_name, "bucket_name must be specified" assert os.path.exists(file_path), "The file path specified does not exist: %s" % file_path assert os.path.isfile(file_path), "The file path specified does not appear to be a file: %s" % file_path try: b = self.conn.get_bucket(bucket_name) except: b = self.conn.create_bucket(bucket_name) path_key = None if key: path_key = key else: if use_relative_path_for_key: if relative_start_dir: path_key = os.path.relpath(file_path, relative_start_dir) else: path_key = os.path.relpath(file_path) else: path_key = os.path.basename(file_path) mp = b.initiate_multipart_upload(path_key, headers=headers) source_size = os.stat(file_path).st_size bytes_per_chunk = 52428800 # 50MB = 50 * 1024 * 1024 chunk_count = int(math.ceil(source_size / float(bytes_per_chunk))) with concurrent.futures.ThreadPoolExecutor(max_workers=parallel_processes) as executor: for i in range(chunk_count): offset = i * bytes_per_chunk remaining_bytes = source_size - offset bytes_to_write = min([bytes_per_chunk, remaining_bytes]) part_num = i + 1 executor.submit(functools.partial(self._upload_part, bucket_name, mp.id, part_num, file_path, offset, bytes_to_write)) if len(mp.get_all_parts()) == chunk_count: mp.complete_upload() try: key = b.get_key(path_key) return key.key except: return None else: mp.cancel_upload() return None def delete_from_bucket(self, bucket_name, key, headers=None): """ Delete a file from s3 This function deletes an object from a specified AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket headers: Additional headers to pass to AWS Returns: The name of the object deleted """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" b = self.conn.get_bucket(bucket_name) k = Key(b) k.key = key ret = k.delete(headers=headers) return ret.name def exists_in_bucket(self, bucket_name, key, headers=None): """ Returns whether the key exists in the bucket Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket headers: Additional headers to pass to AWS Returns: True | False """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" b = self.conn.get_bucket(bucket_name) k = Key(b) k.key = key return k.exists(headers=headers) def key_size(self, bucket_name, key, headers=None): """ Returns the size of a key based on a HEAD request Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket headers: Additional headers to pass to AWS Returns: Size in kb """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" b = self.conn.get_bucket(bucket_name) k = b.lookup(key) return k.size def key_last_modified(self, bucket_name, key, headers=None): """ Returns a timestamp of a key based on a HEAD request Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket headers: Additional headers to pass to AWS Returns: timestamp """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" b = self.conn.get_bucket(bucket_name) k = b.lookup(key) # email.utils parsing of timestamp mirrors boto whereas # time.strptime() can have TZ issues due to DST modified_tuple = email.utils.parsedate_tz(k.last_modified) epochTime = int(email.utils.mktime_tz(modified_tuple)) return epochTime def list_keys(self, bucket_name): return self.conn.get_bucket(bucket_name).list() snakemake-snakemake-4c7c76effe4d/snakemake/remote/SFTP.py000066400000000000000000000101731265064562200233350ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os, re from contextlib import contextmanager # module-specific from snakemake.remote import AbstractRemoteProvider, DomainObject from snakemake.exceptions import SFTPFileException, WorkflowError import snakemake.io try: # third-party modules import pysftp except ImportError as e: raise WorkflowError("The Python 3 package 'pysftp' " + "must be installed to use SFTP remote() file functionality. %s" % e.msg) class RemoteProvider(AbstractRemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) class RemoteObject(DomainObject): """ This is a class to interact with an SFTP server. """ def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) # === Implementations of abstract class members === @contextmanager #makes this a context manager. after 'yield' is __exit__() def sftpc(self): # if args have been provided to remote(), use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, falling back to one specified # as a kwarg to remote() or the RemoteProvider (overriding the latter with the former if both) kwargs_to_use = {} kwargs_to_use["host"] = self.host kwargs_to_use["port"] = int(self.port) if self.port else 22 for k,v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k,v in self.kwargs.items(): kwargs_to_use[k] = v conn = pysftp.Connection(*args_to_use, **kwargs_to_use) yield conn conn.close() def exists(self): if self._matched_address: with self.sftpc() as sftpc: return sftpc.exists(self.remote_path) if sftpc.exists(self.remote_path): return sftpc.isfile(self.remote_path) return False else: raise SFTPFileException("The file cannot be parsed as an SFTP path in form 'host:port/path/to/file': %s" % self.file()) def mtime(self): if self.exists(): with self.sftpc() as sftpc: attr = sftpc.stat(self.remote_path) return int(attr.st_mtime) else: raise SFTPFileException("The file does not seem to exist remotely: %s" % self.file()) def size(self): if self.exists(): with self.sftpc() as sftpc: attr = sftpc.stat(self.remote_path) return int(attr.st_size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.sftpc() as sftpc: if self.exists(): # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) sftpc.get(remotepath=self.remote_path, localpath=self.local_path, preserve_mtime=True) else: raise SFTPFileException("The file does not seem to exist remotely: %s" % self.file()) def upload(self): with self.sftpc() as sftpc: sftpc.put(localpath=self.local_path, remotepath=self.remote_path, confirm=True, preserve_mtime=True) @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = first_wildcard.replace(self.path_prefix, "") with self.sftpc() as sftpc: def _append_item(file_path): file_path = file_path.lstrip("/") file_list.append(file_path) sftpc.walktree(dirname, fcallback=_append_item, dcallback=_append_item, ucallback=_append_item) return file_list snakemake-snakemake-4c7c76effe4d/snakemake/remote/__init__.py000066400000000000000000000110651265064562200243210ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os, sys, re from abc import ABCMeta, abstractmethod # module-specific import snakemake.io from snakemake.exceptions import RemoteFileException class AbstractRemoteProvider: """ This is an abstract class to be used to derive remote provider classes. These might be used to hold common credentials, and are then passed to RemoteObjects. """ __metaclass__ = ABCMeta def __init__(self, *args, **kwargs): self.args = args self.kwargs = kwargs def remote(self, value, *args, keep_local=False, **kwargs): if snakemake.io.is_flagged(value, "temp"): raise SyntaxError( "Remote and temporary flags are mutually exclusive.") if snakemake.io.is_flagged(value, "protected"): raise SyntaxError( "Remote and protected flags are mutually exclusive.") provider = sys.modules[self.__module__] # get module of derived class remote_object = provider.RemoteObject(*args, keep_local=keep_local, provider=provider.RemoteProvider(*self.args, **self.kwargs), **kwargs) return snakemake.io.flag( value, "remote_object", remote_object ) def glob_wildcards(self, pattern, *args, **kwargs): args = self.args if not args else args kwargs = self.kwargs if not kwargs else kwargs referenceObj = snakemake.io.IOFile(self.remote(pattern, *args, **kwargs)) pattern = "./"+ referenceObj.remote_object.name pattern = os.path.normpath(pattern) key_list = [k for k in referenceObj.remote_object.list] return snakemake.io.glob_wildcards(pattern, files=key_list) @abstractmethod def remote_interface(self): pass class AbstractRemoteObject: """ This is an abstract class to be used to derive remote object classes for different cloud storage providers. For example, there could be classes for interacting with Amazon AWS S3 and Google Cloud Storage, both derived from this common base class. """ __metaclass__ = ABCMeta def __init__(self, *args, keep_local=False, provider=None, **kwargs): # self._iofile must be set before the remote object can be used, in io.py or elsewhere self._iofile = None self.args = args self.kwargs = kwargs self.keep_local = keep_local self.provider = provider @property def _file(self): return self._iofile._file def file(self): return self._file @abstractmethod def exists(self): pass @abstractmethod def mtime(self): pass @abstractmethod def size(self): pass @abstractmethod def download(self, *args, **kwargs): pass @abstractmethod def upload(self, *args, **kwargs): pass @abstractmethod def list(self, *args, **kwargs): pass @abstractmethod def name(self, *args, **kwargs): pass @abstractmethod def remote(self, value, keep_local=False): pass class DomainObject(AbstractRemoteObject): """This is a mixin related to parsing components out of a location path specified as (host|IP):port/remote/location """ def __init__(self, *args, **kwargs): super(DomainObject, self).__init__(*args, **kwargs) @property def _matched_address(self): return re.search("^(?P[A-Za-z0-9\-\.]+)(?:\:(?P[0-9]+))?(?P.*)$", self._iofile._file) @property def name(self): return self.path_remainder @property def protocol(self): if self._matched_address: return self._matched_address.group("protocol") @property def host(self): if self._matched_address: return self._matched_address.group("host") @property def port(self): return self._matched_address.group("port") @property def path_prefix(self): # this is the domain and port, however specified before the path remainder return self._iofile._file[:self._iofile._file.index(self.path_remainder)] @property def path_remainder(self): if self._matched_address: return self._matched_address.group("path_remainder") @property def local_path(self): return self._iofile._file @property def remote_path(self): return self.path_remainder snakemake-snakemake-4c7c76effe4d/snakemake/remote/dropbox.py000066400000000000000000000077601265064562200242460ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os, re from contextlib import contextmanager # module-specific from snakemake.remote import AbstractRemoteProvider, AbstractRemoteObject from snakemake.exceptions import DropboxFileException, WorkflowError import snakemake.io try: # third-party modules import dropbox # The official Dropbox API library except ImportError as e: raise WorkflowError("The Python 3 package 'dropbox' " + "must be installed to use Dropbox remote() file functionality. %s" % e.msg) class RemoteProvider(AbstractRemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) self._dropboxc = dropbox.Dropbox(*args, **kwargs) try: self._dropboxc.users_get_current_account() except dropbox.exceptions.AuthError as err: DropboxFileException("ERROR: Invalid Dropbox OAuth access token; try re-generating an access token from the app console on the web.") def remote_interface(self): return self._dropboxc class RemoteObject(AbstractRemoteObject): """ This is a class to interact with the AWS S3 object store. """ def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) if provider: self._dropboxc = provider.remote_interface() else: self._dropboxc = dropbox.Dropbox(*args, **kwargs) try: self._dropboxc.users_get_current_account() except dropbox.exceptions.AuthError as err: DropboxFileException("ERROR: Invalid Dropbox OAuth access token; try re-generating an access token from the app console on the web.") # === Implementations of abstract class members === def exists(self): try: metadata = self._dropboxc.files_get_metadata(self.remote_file()) return True except: return False def mtime(self): if self.exists(): metadata = self._dropboxc.files_get_metadata(self.remote_file()) epochTime = metadata.server_modified.timestamp() return epochTime else: raise DropboxFileException("The file does not seem to exist remotely: %s" % self.remote_file()) def size(self): if self.exists(): metadata = self._dropboxc.files_get_metadata(self.remote_file()) return int(metadata.size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): if self.exists(): # if the destination path does not exist, make it if make_dest_dirs: os.makedirs(os.path.dirname(self.file()), exist_ok=True) self._dropboxc.files_download_to_file(self.file(), self.remote_file()) else: raise DropboxFileException("The file does not seem to exist remotely: %s" % self.remote_file()) def upload(self, mode=dropbox.files.WriteMode('overwrite')): with open(self.file(),'rb') as f: self._dropboxc.files_upload(f, self.remote_file(), mode=mode) def remote_file(self): return "/"+self.file() if not self.file().startswith("/") else self.file() @property def name(self): return self.file() @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = "/" + first_wildcard if not first_wildcard.startswith("/") else first_wildcard while '//' in dirname: dirname = dirname.replace('//', '/') dirname = dirname.rstrip('/') for item in self._dropboxc.files_list_folder(dirname, recursive=True).entries: file_list.append( os.path.join(os.path.dirname(item.path_lower), item.name).lstrip("/") ) return file_list snakemake-snakemake-4c7c76effe4d/snakemake/report.css000066400000000000000000000045431265064562200227450ustar00rootroot00000000000000/** Credits for the colors and font selection go to the Twitter Bootstrap framework. */ body { color: rgb(51, 51, 51); font-size: 10pt; padding-top: 10px; font-family: "Helvetica Neue",Helvetica,Arial,sans-serif; } h1 { font-size: 150%; } h2 { font-size: 140%; } h3 { font-size: 130%; } h4 { font-size: 120%; } h5 { font-size: 110%; } h6 { font-size: 100%; } div#attachments { display: inline-block; color: gray; border-width: 1px; border-style: solid; border-color: white; border-radius: 4px 4px 4px 4px; padding: 0px; } div#attachments dt { margin-top: 2px; margin-bottom: 2px; } div#attachments dd p { margin-top: 2px; margin-bottom: 2px; } div#attachments :target dt { font-weight: bold; } div#attachments :target a { color: rgb(70, 136, 71); } h1.title { text-align: center; font-size: 180%; } div.document { position: relative; background: white; max-width: 800px; margin: auto; padding: 20px; border: 1px solid rgb(221, 221, 221); border-radius: 4px 4px 4px 4px; } div.document:after { content: "snakemake report"; position: absolute; top: -1px; right: -1px; padding: 3px 7px; background-color: #f5f5f5; border: 1px solid rgb(221, 221, 221); color: #9da0a4; font-weight: bold; font-size: 12pt; border-radius: 0 0 0 4px; } div.document p { text-align: justify; } div#metadata { text-align: right; } table.docutils { border: none; border-collapse: collapse; border-top: 2px solid gray; border-bottom: 2px solid gray; text-align: center; } table.docutils th { border: none; border-top: 2px solid gray; border-bottom: 2px solid gray; padding: 5px; } table.docutils td { border: none; padding: 5px; } table.docutils th:last-child, td:last-child { text-align: left; } table.docutils th:first-child, td:first-child { text-align: right; } table.docutils th:only-child, td:only-child { text-align: center; } table.docutils.footnote { border: none; text-align: left; } a { color: rgb(0, 136, 204); text-decoration: none; } a:hover { color: rgb(0, 85, 128); text-decoration: underline; } div.figure { margin-left: 2em; margin-right: 2em; } img { max-width: 100%; } p.caption { font-style: italic; } snakemake-snakemake-4c7c76effe4d/snakemake/report.py000066400000000000000000000073361265064562200226100ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import mimetypes import base64 import textwrap import datetime import io from docutils.parsers.rst.directives.images import Image, Figure from docutils.parsers.rst import directives from docutils.core import publish_file from snakemake.utils import format from snakemake.logging import logger class EmbeddedMixin(object): """ Replaces the URI of a directive with a base64-encoded version. Useful for embedding images/figures in reports. """ def run(self): """ Image.run() handles most of the """ result = Image.run(self) reference = directives.uri(self.arguments[0]) self.options['uri'] = data_uri(reference) return result # Create (and register) new image:: and figure:: directives that use a base64 # data URI instead of pointing to a filename. class EmbeddedImage(Image, EmbeddedMixin): pass directives.register_directive('embeddedimage', EmbeddedImage) class EmbeddedFigure(Figure, EmbeddedMixin): pass directives.register_directive('embeddedfigure', EmbeddedFigure) def data_uri(file, defaultenc="utf8"): """Craft a base64 data URI from file with proper encoding and mimetype.""" mime, encoding = mimetypes.guess_type(file) if mime is None: mime = "text/plain" logger.info("Could not detect mimetype for {}, assuming " "text/plain.".format(file)) if encoding is None: encoding = defaultenc with open(file, "rb") as f: data = base64.b64encode(f.read()) uri = ("data:{mime};charset={charset};filename={filename};base64,{data}" "".format(filename=os.path.basename(file), mime=mime, charset=encoding, data=data.decode())) return uri def report(text, path, stylesheet=os.path.join(os.path.dirname(__file__), "report.css"), defaultenc="utf8", template=None, metadata=None, **files): outmime, _ = mimetypes.guess_type(path) if outmime != "text/html": raise ValueError("Path to report output has to be an HTML file.") definitions = textwrap.dedent(""" .. role:: raw-html(raw) :format: html """) metadata = textwrap.dedent(""" .. container:: :name: metadata {metadata}{date} """).format(metadata=metadata + " | " if metadata else "", date=datetime.date.today().isoformat()) text = format(textwrap.dedent(text), stepout=3) attachments = [textwrap.dedent(""" .. container:: :name: attachments """)] for name, _files in sorted(files.items()): if not isinstance(_files, list): _files = [_files] links = [] for file in _files: data = data_uri(file) links.append(':raw-html:`{filename}`'.format( data=data, filename=os.path.basename(file))) links = "\n\n ".join(links) attachments.append(''' .. container:: :name: {name} {name}: {links} '''.format(name=name, links=links)) text = definitions + text + "\n\n" + "\n\n".join(attachments) + metadata overrides = dict() if template is not None: overrides["template"] = template if stylesheet is not None: overrides["stylesheet_path"] = stylesheet html = open(path, "w") publish_file(source=io.StringIO(text), destination=html, writer_name="html", settings_overrides=overrides) snakemake-snakemake-4c7c76effe4d/snakemake/rules.py000066400000000000000000000473701265064562200224310ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import re import sys import inspect import sre_constants from collections import defaultdict, Iterable from snakemake.io import IOFile, _IOFile, protected, temp, dynamic, Namedlist, AnnotatedString from snakemake.io import expand, InputFiles, OutputFiles, Wildcards, Params, Log from snakemake.io import apply_wildcards, is_flagged, not_iterable from snakemake.exceptions import RuleException, IOFileException, WildcardError, InputFunctionException class Rule: def __init__(self, *args, lineno=None, snakefile=None): """ Create a rule Arguments name -- the name of the rule """ if len(args) == 2: name, workflow = args self.name = name self.workflow = workflow self.docstring = None self.message = None self._input = InputFiles() self._output = OutputFiles() self._params = Params() self.dependencies = dict() self.dynamic_output = set() self.dynamic_input = set() self.temp_output = set() self.protected_output = set() self.touch_output = set() self.subworkflow_input = dict() self.shadow_depth = None self.resources = dict(_cores=1, _nodes=1) self.priority = 0 self.version = None self._log = Log() self._benchmark = None self.wildcard_names = set() self.lineno = lineno self.snakefile = snakefile self.run_func = None self.shellcmd = None self.script = None self.norun = False elif len(args) == 1: other = args[0] self.name = other.name self.workflow = other.workflow self.docstring = other.docstring self.message = other.message self._input = InputFiles(other._input) self._output = OutputFiles(other._output) self._params = Params(other._params) self.dependencies = dict(other.dependencies) self.dynamic_output = set(other.dynamic_output) self.dynamic_input = set(other.dynamic_input) self.temp_output = set(other.temp_output) self.protected_output = set(other.protected_output) self.touch_output = set(other.touch_output) self.subworkflow_input = dict(other.subworkflow_input) self.shadow_depth = other.shadow_depth self.resources = other.resources self.priority = other.priority self.version = other.version self._log = other._log self._benchmark = other._benchmark self.wildcard_names = set(other.wildcard_names) self.lineno = other.lineno self.snakefile = other.snakefile self.run_func = other.run_func self.shellcmd = other.shellcmd self.script = other.script self.norun = other.norun def dynamic_branch(self, wildcards, input=True): def get_io(rule): return (rule.input, rule.dynamic_input) if input else ( rule.output, rule.dynamic_output ) def partially_expand(f, wildcards): """Expand the wildcards in f from the ones present in wildcards This is done by replacing all wildcard delimiters by `{{` or `}}` that are not in `wildcards.keys()`. """ # perform the partial expansion from f's string representation s = str(f).replace('{', '{{').replace('}', '}}') for key in wildcards.keys(): s = s.replace('{{{{{}}}}}'.format(key), '{{{}}}'.format(key)) # build result anno_s = AnnotatedString(s) anno_s.flags = f.flags return IOFile(anno_s, f.rule) io, dynamic_io = get_io(self) branch = Rule(self) io_, dynamic_io_ = get_io(branch) expansion = defaultdict(list) for i, f in enumerate(io): if f in dynamic_io: f = partially_expand(f, wildcards) try: for e in reversed(expand(f, zip, **wildcards)): # need to clone the flags so intermediate # dynamic remote file paths are expanded and # removed appropriately ioFile = IOFile(e, rule=branch) ioFile.clone_flags(f) expansion[i].append(ioFile) except KeyError: return None # replace the dynamic files with the expanded files replacements = [(i, io[i], e) for i, e in reversed(list(expansion.items()))] for i, old, exp in replacements: dynamic_io_.remove(old) io_.insert_items(i, exp) if not input: for i, old, exp in replacements: if old in branch.temp_output: branch.temp_output.discard(old) branch.temp_output.update(exp) if old in branch.protected_output: branch.protected_output.discard(old) branch.protected_output.update(exp) if old in branch.touch_output: branch.touch_output.discard(old) branch.touch_output.update(exp) branch.wildcard_names.clear() non_dynamic_wildcards = dict((name, values[0]) for name, values in wildcards.items() if len(set(values)) == 1) # TODO have a look into how to concretize dependencies here (branch._input, branch._output, branch._params, branch._log, branch._benchmark, _, branch.dependencies ) = branch.expand_wildcards(wildcards=non_dynamic_wildcards) return branch, non_dynamic_wildcards return branch def has_wildcards(self): """ Return True if rule contains wildcards. """ return bool(self.wildcard_names) @property def benchmark(self): return self._benchmark @benchmark.setter def benchmark(self, benchmark): self._benchmark = IOFile(benchmark, rule=self) @property def input(self): return self._input def set_input(self, *input, **kwinput): """ Add a list of input files. Recursive lists are flattened. Arguments input -- the list of input files """ for item in input: self._set_inoutput_item(item) for name, item in kwinput.items(): self._set_inoutput_item(item, name=name) @property def output(self): return self._output @property def products(self): products = list(self.output) if self.benchmark: products.append(self.benchmark) return products def set_output(self, *output, **kwoutput): """ Add a list of output files. Recursive lists are flattened. Arguments output -- the list of output files """ for item in output: self._set_inoutput_item(item, output=True) for name, item in kwoutput.items(): self._set_inoutput_item(item, output=True, name=name) for item in self.output: if self.dynamic_output and item not in self.dynamic_output: raise SyntaxError( "A rule with dynamic output may not define any " "non-dynamic output files.") wildcards = item.get_wildcard_names() if self.wildcard_names: if self.wildcard_names != wildcards: raise SyntaxError( "Not all output files of rule {} " "contain the same wildcards.".format(self.name)) else: self.wildcard_names = wildcards def _set_inoutput_item(self, item, output=False, name=None): """ Set an item to be input or output. Arguments item -- the item inoutput -- either a Namedlist of input or output items name -- an optional name for the item """ inoutput = self.output if output else self.input if isinstance(item, str): # add the rule to the dependencies if isinstance(item, _IOFile): self.dependencies[item] = item.rule _item = IOFile(item, rule=self) if is_flagged(item, "temp"): if not output: raise SyntaxError("Only output files may be temporary") self.temp_output.add(_item) if is_flagged(item, "protected"): if not output: raise SyntaxError("Only output files may be protected") self.protected_output.add(_item) if is_flagged(item, "touch"): if not output: raise SyntaxError( "Only output files may be marked for touching.") self.touch_output.add(_item) if is_flagged(item, "dynamic"): if output: self.dynamic_output.add(_item) else: self.dynamic_input.add(_item) if is_flagged(item, "subworkflow"): if output: raise SyntaxError( "Only input files may refer to a subworkflow") else: # record the workflow this item comes from self.subworkflow_input[_item] = item.flags["subworkflow"] inoutput.append(_item) if name: inoutput.add_name(name) elif callable(item): if output: raise SyntaxError( "Only input files can be specified as functions") inoutput.append(item) if name: inoutput.add_name(name) else: try: start = len(inoutput) for i in item: self._set_inoutput_item(i, output=output) if name: # if the list was named, make it accessible inoutput.set_name(name, start, end=len(inoutput)) except TypeError: raise SyntaxError( "Input and output files have to be specified as strings or lists of strings.") @property def params(self): return self._params def set_params(self, *params, **kwparams): for item in params: self._set_params_item(item) for name, item in kwparams.items(): self._set_params_item(item, name=name) def _set_params_item(self, item, name=None): if not_iterable(item) or callable(item): self.params.append(item) if name: self.params.add_name(name) else: try: start = len(self.params) for i in item: self._set_params_item(i) if name: self.params.set_name(name, start, end=len(self.params)) except TypeError: raise SyntaxError("Params have to be specified as strings.") @property def log(self): return self._log def set_log(self, *logs, **kwlogs): for item in logs: self._set_log_item(item) for name, item in kwlogs.items(): self._set_log_item(item, name=name) def _set_log_item(self, item, name=None): if isinstance(item, str) or callable(item): self.log.append(IOFile(item, rule=self) if isinstance(item, str) else item) if name: self.log.add_name(name) else: try: start = len(self.log) for i in item: self._set_log_item(i) if name: self.log.set_name(name, start, end=len(self.log)) except TypeError: raise SyntaxError("Log files have to be specified as strings.") def expand_wildcards(self, wildcards=None): """ Expand wildcards depending on the requested output or given wildcards dict. """ def concretize_iofile(f, wildcards): if not isinstance(f, _IOFile): return IOFile(f, rule=self) else: return f.apply_wildcards(wildcards, fill_missing=f in self.dynamic_input, fail_dynamic=self.dynamic_output) def concretize_param(p, wildcards): if isinstance(p, str): return apply_wildcards(p, wildcards) return p def check_input_function(f): if (not_iterable(f) and not isinstance(f, str)) or not all(isinstance(f_, str) for f_ in f): raise RuleException( "Input function did not return str or list of str.", rule=self) def check_param_function(f): pass def _apply_wildcards(newitems, olditems, wildcards, wildcards_obj, concretize=apply_wildcards, check_function_return=check_input_function, ruleio=None): for name, item in olditems.allitems(): start = len(newitems) is_iterable = True if callable(item): try: item = item(wildcards_obj) except (Exception, BaseException) as e: raise InputFunctionException(e, rule=self) check_function_return(item) if not_iterable(item): item = [item] is_iterable = False for item_ in item: concrete = concretize(item_, wildcards) newitems.append(concrete) if ruleio is not None: ruleio[concrete] = item_ if name: newitems.set_name( name, start, end=len(newitems) if is_iterable else None) if wildcards is None: wildcards = dict() missing_wildcards = self.wildcard_names - set(wildcards.keys()) if missing_wildcards: raise RuleException( "Could not resolve wildcards in rule {}:\n{}".format( self.name, "\n".join(self.wildcard_names)), lineno=self.lineno, snakefile=self.snakefile) ruleio = dict() try: input = InputFiles() wildcards_obj = Wildcards(fromdict=wildcards) _apply_wildcards(input, self.input, wildcards, wildcards_obj, concretize=concretize_iofile, ruleio=ruleio) params = Params() _apply_wildcards(params, self.params, wildcards, wildcards_obj, concretize=concretize_param, check_function_return=check_param_function) output = OutputFiles(o.apply_wildcards(wildcards) for o in self.output) output.take_names(self.output.get_names()) dependencies = { None if f is None else f.apply_wildcards(wildcards): rule for f, rule in self.dependencies.items() } ruleio.update(dict((f, f_) for f, f_ in zip(output, self.output))) log = Log() _apply_wildcards(log, self.log, wildcards, wildcards_obj, concretize=concretize_iofile) benchmark = self.benchmark.apply_wildcards( wildcards) if self.benchmark else None return input, output, params, log, benchmark, ruleio, dependencies except WildcardError as ex: # this can only happen if an input contains an unresolved wildcard. raise RuleException( "Wildcards in input, params, log or benchmark file of rule {} cannot be " "determined from output files:\n{}".format(self, str(ex)), lineno=self.lineno, snakefile=self.snakefile) def is_producer(self, requested_output): """ Returns True if this rule is a producer of the requested output. """ try: for o in self.products: if o.match(requested_output): return True return False except sre_constants.error as ex: raise IOFileException("{} in wildcard statement".format(ex), snakefile=self.snakefile, lineno=self.lineno) except ValueError as ex: raise IOFileException("{}".format(ex), snakefile=self.snakefile, lineno=self.lineno) def get_wildcards(self, requested_output): """ Update the given wildcard dictionary by matching regular expression output files to the requested concrete ones. Arguments wildcards -- a dictionary of wildcards requested_output -- a concrete filepath """ if requested_output is None: return dict() bestmatchlen = 0 bestmatch = None for o in self.products: match = o.match(requested_output) if match: l = self.get_wildcard_len(match.groupdict()) if not bestmatch or bestmatchlen > l: bestmatch = match.groupdict() bestmatchlen = l return bestmatch @staticmethod def get_wildcard_len(wildcards): """ Return the length of the given wildcard values. Arguments wildcards -- a dict of wildcards """ return sum(map(len, wildcards.values())) def __lt__(self, rule): comp = self.workflow._ruleorder.compare(self, rule) return comp < 0 def __gt__(self, rule): comp = self.workflow._ruleorder.compare(self, rule) return comp > 0 def __str__(self): return self.name def __hash__(self): return self.name.__hash__() def __eq__(self, other): return self.name == other.name class Ruleorder: def __init__(self): self.order = list() def add(self, *rulenames): """ Records the order of given rules as rule1 > rule2 > rule3, ... """ self.order.append(list(rulenames)) def compare(self, rule1, rule2): """ Return whether rule2 has a higher priority than rule1. """ # try the last clause first, # i.e. clauses added later overwrite those before. for clause in reversed(self.order): try: i = clause.index(rule1.name) j = clause.index(rule2.name) # rules with higher priority should have a smaller index comp = j - i if comp < 0: comp = -1 elif comp > 0: comp = 1 return comp except ValueError: pass # if not ruleorder given, prefer rule without wildcards wildcard_cmp = rule2.has_wildcards() - rule1.has_wildcards() if wildcard_cmp != 0: return wildcard_cmp return 0 def __iter__(self): return self.order.__iter__() snakemake-snakemake-4c7c76effe4d/snakemake/scheduler.py000066400000000000000000000340031265064562200232420ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os, signal import threading import multiprocessing import operator from functools import partial from collections import defaultdict from itertools import chain, accumulate from snakemake.executors import DryrunExecutor, TouchExecutor, CPUExecutor from snakemake.executors import GenericClusterExecutor, SynchronousClusterExecutor, DRMAAExecutor from snakemake.logging import logger def cumsum(iterable, zero=[0]): return list(chain(zero, accumulate(iterable))) _ERROR_MSG_FINAL = ("Exiting because a job execution failed. " "Look above for error message") class JobScheduler: def __init__(self, workflow, dag, cores, local_cores=1, dryrun=False, touch=False, cluster=None, cluster_config=None, cluster_sync=None, drmaa=None, jobname=None, immediate_submit=False, quiet=False, printreason=False, printshellcmds=False, keepgoing=False, latency_wait=3, benchmark_repeats=1, greediness=1.0): """ Create a new instance of KnapsackJobScheduler. """ self.cluster = cluster self.cluster_config = cluster_config self.cluster_sync = cluster_sync self.dag = dag self.workflow = workflow self.dryrun = dryrun self.quiet = quiet self.keepgoing = keepgoing self.running = set() self.failed = set() self.finished_jobs = 0 self.greediness = 1 self.resources = dict(self.workflow.global_resources) use_threads = os.name != "posix" if not use_threads: self._open_jobs = multiprocessing.Event() self._lock = multiprocessing.Lock() else: self._open_jobs = threading.Event() self._lock = threading.Lock() self._errors = False self._finished = False self._job_queue = None self._submit_callback = self._noop self._finish_callback = partial( self._proceed, update_dynamic=not self.dryrun, print_progress=not self.quiet and not self.dryrun) if dryrun: self._executor = DryrunExecutor(workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait) self.job_reward = self.dryrun_job_reward elif touch: self._executor = TouchExecutor(workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait) elif cluster or cluster_sync or (drmaa is not None): workers = min(max(1, sum(1 for _ in dag.local_needrun_jobs)), local_cores) self._local_executor = CPUExecutor( workflow, dag, workers, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, threads=use_threads, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats) self.run = self.run_cluster_or_local if cluster or cluster_sync: constructor = SynchronousClusterExecutor if cluster_sync \ else GenericClusterExecutor self._executor = constructor( workflow, dag, None, submitcmd=(cluster or cluster_sync), cluster_config=cluster_config, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, ) if immediate_submit: self.job_reward = self.dryrun_job_reward self._submit_callback = partial(self._proceed, update_dynamic=False, print_progress=False, update_resources=False, ) else: self._executor = DRMAAExecutor( workflow, dag, None, drmaa_args=drmaa, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, cluster_config=cluster_config, ) else: # local execution or execution of cluster job # calculate how many parallel workers the executor shall spawn # each job has at least one thread, hence we need to have # the minimum of given cores and number of jobs workers = min(cores, max(1, len(dag))) self._executor = CPUExecutor(workflow, dag, workers, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, threads=use_threads, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, ) self._open_jobs.set() @property def stats(self): try: return self._executor.stats except AttributeError: raise TypeError("Executor does not support stats") def candidate(self, job): """ Return whether a job is a candidate to be executed. """ return (job not in self.running and job not in self.failed and (self.dryrun or (not job.dynamic_input and not self.dag.dynamic(job)))) @property def open_jobs(self): """ Return open jobs. """ return filter(self.candidate, list(self.dag.ready_jobs)) def schedule(self): """ Schedule jobs that are ready, maximizing cpu usage. """ try: while True: # work around so that the wait does not prevent keyboard interrupts while not self._open_jobs.wait(1): pass # obtain needrun and running jobs in a thread-safe way with self._lock: needrun = list(self.open_jobs) running = list(self.running) # free the event self._open_jobs.clear() # handle errors if not self.keepgoing and self._errors: logger.info("Will exit after finishing " "currently running jobs.") if not running: self._executor.shutdown() logger.error(_ERROR_MSG_FINAL) return False continue # normal shutdown because all jobs have been finished if not needrun and not running: self._executor.shutdown() if self._errors: logger.error(_ERROR_MSG_FINAL) return not self._errors # continue if no new job needs to be executed if not needrun: continue logger.debug("Resources before job selection: {}".format( self.resources)) logger.debug("Ready jobs ({}):\n\t".format(len(needrun)) + "\n\t".join(map(str, needrun))) # select jobs by solving knapsack problem run = self.job_selector(needrun) logger.debug("Selected jobs ({}):\n\t".format(len(run)) + "\n\t".join(map(str, run))) # update running jobs with self._lock: self.running.update(run) logger.debug( "Resources after job selection: {}".format(self.resources)) # actually run jobs for job in run: self.run(job) except (KeyboardInterrupt, SystemExit): logger.info("Terminating processes on user request.") self._executor.cancel() with self._lock: running = list(self.running) for job in running: job.cleanup() return False def run(self, job): self._executor.run(job, callback=self._finish_callback, submit_callback=self._submit_callback, error_callback=self._error) def run_cluster_or_local(self, job): executor = self._local_executor if self.workflow.is_local( job.rule) else self._executor executor.run(job, callback=self._finish_callback, submit_callback=self._submit_callback, error_callback=self._error) def _noop(self, job): pass def _free_resources(self, job): for name, value in job.resources.items(): if name in self.resources: value = self.calc_resource(name, value) self.resources[name] += value logger.debug("Releasing {} {} (now {}).".format( value, name, self.resources[name])) def _proceed(self, job, update_dynamic=True, print_progress=False, update_resources=True): """ Do stuff after job is finished. """ with self._lock: if update_resources: self.finished_jobs += 1 self.running.remove(job) self._free_resources(job) self.dag.finish(job, update_dynamic=update_dynamic) logger.job_finished(jobid=self.dag.jobid(job)) if print_progress: self.progress() if any(self.open_jobs) or not self.running: # go on scheduling if open jobs are ready or no job is running self._open_jobs.set() def _error(self, job): """ Clear jobs and stop the workflow. """ with self._lock: self._errors = True self.running.remove(job) self.failed.add(job) self._free_resources(job) if self.keepgoing: logger.info("Job failed, going on with independent jobs.") self._open_jobs.set() def job_selector(self, jobs): """ Using the greedy heuristic from "A Greedy Algorithm for the General Multidimensional Knapsack Problem", Akcay, Li, Xu, Annals of Operations Research, 2012 Args: jobs (list): list of jobs """ with self._lock: # each job is an item with one copy (0-1 MDKP) n = len(jobs) x = [0] * n # selected jobs E = set(range(n)) # jobs still free to select u = [1] * n a = list(map(self.job_weight, jobs)) # resource usage of jobs c = list(map(self.job_reward, jobs)) # job rewards def calc_reward(): return [c_j * y_j for c_j, y_j in zip(c, y)] b = [self.resources[name] for name in self.workflow.global_resources ] # resource capacities while True: # Step 2: compute effective capacities y = [(min((min(u[j], b_i // a_j_i) if a_j_i > 0 else u[j]) for b_i, a_j_i in zip(b, a[j]) if a_j_i) if j in E else 0) for j in range(n)] if not any(y): break y = [(max(1, int(self.greediness * y_j)) if y_j > 0 else 0) for y_j in y] # Step 3: compute rewards on cumulative sums reward = calc_reward() j_sel = max(E, key=reward.__getitem__) # argmax # Step 4: batch increment y_sel = y[j_sel] # Step 5: update information x[j_sel] += y_sel b = [b_i - (a_j_i * y_sel) for b_i, a_j_i in zip(b, a[j_sel])] u[j_sel] -= y_sel if not u[j_sel] or self.greediness == 1: E.remove(j_sel) if not E: break solution = [job for job, sel in zip(jobs, x) if sel] # update resources for name, b_i in zip(self.workflow.global_resources, b): self.resources[name] = b_i return solution def calc_resource(self, name, value): return min(value, self.workflow.global_resources[name]) def rule_weight(self, rule): res = rule.resources return [self.calc_resource(name, res.get(name, 0)) for name in self.workflow.global_resources] def job_weight(self, job): res = job.resources_dict return [self.calc_resource(name, res.get(name, 0)) for name in self.workflow.global_resources] def job_reward(self, job): return (self.dag.priority(job), self.dag.temp_input_count(job), self.dag.downstream_size(job), job.inputsize) def dryrun_job_reward(self, job): return (self.dag.priority(job), self.dag.temp_input_count(job), self.dag.downstream_size(job)) def progress(self): """ Display the progress. """ logger.progress(done=self.finished_jobs, total=len(self.dag)) snakemake-snakemake-4c7c76effe4d/snakemake/script.py000066400000000000000000000124121265064562200225700ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import inspect import os import traceback from urllib.request import urlopen from urllib.error import URLError from snakemake.utils import format from snakemake.logging import logger from snakemake.exceptions import WorkflowError class REncoder: """Encoding Pyton data structures into R.""" @classmethod def encode_value(cls, value): if isinstance(value, list): return cls.encode_list(value) elif isinstance(value, dict): return cls.encode_dict(value) elif isinstance(value, str): return repr(value) elif isinstance(value, bool): return "TRUE" if value else "FALSE" elif isinstance(value, int) or isinstance(value, float): return str(value) else: raise ValueError( "Unsupported value for conversion into R: {}".format(value)) @classmethod def encode_list(cls, l): return "c({})".format(", ".join(map(cls.encode_value, l))) @classmethod def encode_items(cls, items): def encode_item(item): name, value = item return '"{}" = {}'.format(name, cls.encode_value(value)) return ", ".join(map(encode_item, items)) @classmethod def encode_dict(cls, d): d = "list({})".format(cls.encode_items(d.items())) return d @classmethod def encode_namedlist(cls, namedlist): positional = cls.encode_list(namedlist) named = cls.encode_items(namedlist.items()) source = "list(" if positional != "c()": source += positional if named: source += ", " + named source += ")" return source class Snakemake: def __init__(self, input, output, params, wildcards, threads, resources, log, config): self.input = input self.output = output self.params = params self.wildcards = wildcards self.threads = threads self.resources = resources self.log = log self.config = config def script(basedir, path, input, output, params, wildcards, threads, resources, log, config): """ Load a script from the given basedir + path and execute it. Supports Python 3 and R. """ if not path.startswith("http"): path = path.lstrip("file://") path = "file://" + os.path.abspath(os.path.join(basedir, path)) path = format(path, stepout=1) try: with urlopen(path) as source: if path.endswith(".py"): try: exec(compile(source.read().decode(), path, "exec"), { "snakemake": Snakemake(input, output, params, wildcards, threads, resources, log, config) }) except (Exception, BaseException) as ex: raise WorkflowError("".join(traceback.format_exception(type(ex), ex, ex.__traceback__))) elif path.endswith(".R"): try: import rpy2.robjects as robjects except ImportError: raise ValueError( "Python 3 package rpy2 needs to be installed to use the R function.") with urlopen(path) as source: preamble = """ Snakemake <- setClass( "Snakemake", slots = c( input = "list", output = "list", params = "list", wildcards = "list", threads = "numeric", log = "list", resources = "list", config = "list" ) ) snakemake <- Snakemake( input = {}, output = {}, params = {}, wildcards = {}, threads = {}, log = {}, resources = {}, config = {} ) """.format(REncoder.encode_namedlist(input), REncoder.encode_namedlist(output), REncoder.encode_namedlist(params), REncoder.encode_namedlist(wildcards), threads, REncoder.encode_namedlist(log), REncoder.encode_namedlist({ name: value for name, value in resources.items() if name != "_cores" and name != "_nodes" }), REncoder.encode_dict(config)) logger.debug(preamble) source = preamble + source.read().decode() robjects.r(source) else: raise ValueError( "Unsupported script: Expecting either Python (.py) or R (.R) script.") except URLError as e: raise WorkflowError(e) snakemake-snakemake-4c7c76effe4d/snakemake/shell.py000066400000000000000000000045261265064562200224020ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import _io import sys import os import subprocess as sp from snakemake.utils import format from snakemake.logging import logger __author__ = "Johannes Köster" STDOUT = sys.stdout if not isinstance(sys.stdout, _io.TextIOWrapper): # workaround for nosetest since it overwrites sys.stdout # in a strange way that does not work with Popen STDOUT = None class shell: _process_args = {} _process_prefix = "" _process_suffix = "" @classmethod def executable(cls, cmd): if os.path.split(cmd)[-1] == "bash": cls._process_prefix = "set -euo pipefail; " cls._process_args["executable"] = cmd @classmethod def prefix(cls, prefix): cls._process_prefix = format(prefix, stepout=2) @classmethod def suffix(cls, suffix): cls._process_suffix = format(suffix, stepout=2) def __new__(cls, cmd, *args, async=False, iterable=False, read=False, **kwargs): if "stepout" in kwargs: raise KeyError("Argument stepout is not allowed in shell command.") cmd = format(cmd, *args, stepout=2, **kwargs) logger.shellcmd(cmd) stdout = sp.PIPE if iterable or async or read else STDOUT close_fds = sys.platform != 'win32' proc = sp.Popen("{} {} {}".format( cls._process_prefix, cmd, cls._process_suffix), bufsize=-1, shell=True, stdout=stdout, close_fds=close_fds, **cls._process_args) ret = None if iterable: return cls.iter_stdout(proc, cmd) if read: ret = proc.stdout.read() elif async: return proc retcode = proc.wait() if retcode: raise sp.CalledProcessError(retcode, cmd) return ret @staticmethod def iter_stdout(proc, cmd): for l in proc.stdout: yield l[:-1].decode() retcode = proc.wait() if retcode: raise sp.CalledProcessError(retcode, cmd) if "SHELL" in os.environ: shell.executable(os.environ["SHELL"]) snakemake-snakemake-4c7c76effe4d/snakemake/stats.py000066400000000000000000000043721265064562200224300ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import time import csv import json from collections import defaultdict import snakemake.jobs fmt_time = time.ctime class Stats: def __init__(self): self.starttime = dict() self.endtime = dict() def report_job_start(self, job): self.starttime[job] = time.time() def report_job_end(self, job): self.endtime[job] = time.time() @property def rule_stats(self): runtimes = defaultdict(list) for job, t in self.starttime.items(): runtimes[job.rule].append(self.endtime[job] - t) for rule, runtimes in runtimes.items(): yield (rule, sum(runtimes) / len(runtimes), min(runtimes), max(runtimes)) @property def file_stats(self): for job, t in self.starttime.items(): for f in job.expanded_output: start, stop = t, self.endtime[job] yield f, fmt_time(start), fmt_time(stop), stop - start, job @property def overall_runtime(self): if self.starttime and self.endtime: return max(self.endtime.values()) - min(self.starttime.values()) else: return 0 def to_json(self, path): rule_stats = { rule.name: { "mean-runtime": mean_runtime, "min-runtime": min_runtime, "max-runtime": max_runtime } for rule, mean_runtime, min_runtime, max_runtime in self.rule_stats } file_stats = { f: { "start-time": start, "stop-time": stop, "duration": duration, "priority": job.priority if job.priority != snakemake.jobs.Job.HIGHEST_PRIORITY else "highest", "resources": job.resources_dict } for f, start, stop, duration, job in self.file_stats } with open(path, "w") as f: json.dump({ "total_runtime": self.overall_runtime, "rules": rule_stats, "files": file_stats }, f, indent=4) snakemake-snakemake-4c7c76effe4d/snakemake/utils.py000066400000000000000000000210521265064562200224240ustar00rootroot00000000000000__author__ = "Johannes Köster" __contributors__ = ["Per Unneberg"] __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os import json import re import inspect import textwrap from itertools import chain from collections import Mapping from snakemake.io import regex, Namedlist from snakemake.logging import logger from snakemake.exceptions import WorkflowError import snakemake def linecount(filename): """Return the number of lines of given file. Args: filename (str): the path to the file """ with open(filename) as f: return sum(1 for l in f) def listfiles(pattern, restriction=None, omit_value=None): """Yield a tuple of existing filepaths for the given pattern. Wildcard values are yielded as the second tuple item. Args: pattern (str): a filepattern. Wildcards are specified in snakemake syntax, e.g. "{id}.txt" restriction (dict): restrict to wildcard values given in this dictionary omit_value (str): wildcard value to omit Yields: tuple: The next file matching the pattern, and the corresponding wildcards object """ pattern = os.path.normpath(pattern) first_wildcard = re.search("{[^{]", pattern) if first_wildcard: dirname = os.path.dirname(pattern[:first_wildcard.start()]) if not dirname: dirname = "." else: dirname = os.path.dirname(pattern) pattern = re.compile(regex(pattern)) for dirpath, dirnames, filenames in os.walk(dirname): for f in chain(filenames, dirnames): if dirpath != ".": f = os.path.normpath(os.path.join(dirpath, f)) match = re.match(pattern, f) if match: wildcards = Namedlist(fromdict=match.groupdict()) if restriction is not None: invalid = any(omit_value not in v and v != wildcards[k] for k, v in restriction.items()) if not invalid: yield f, wildcards else: yield f, wildcards def makedirs(dirnames): """Recursively create the given directory or directories without reporting errors if they are present. """ if isinstance(dirnames, str): dirnames = [dirnames] for dirname in dirnames: os.makedirs(dirname, exist_ok=True) def report(text, path, stylesheet=os.path.join(os.path.dirname(__file__), "report.css"), defaultenc="utf8", template=None, metadata=None, **files): """Create an HTML report using python docutils. Attention: This function needs Python docutils to be installed for the python installation you use with Snakemake. All keywords not listed below are intepreted as paths to files that shall be embedded into the document. They keywords will be available as link targets in the text. E.g. append a file as keyword arg via F1=input[0] and put a download link in the text like this: .. code:: python report(''' ============== Report for ... ============== Some text. A link to an embedded file: F1_. Further text. ''', outputpath, F1=input[0]) Instead of specifying each file as a keyword arg, you can also expand the input of your rule if it is completely named, e.g.: report(''' Some text... ''', outputpath, **input) Args: text (str): The "restructured text" as it is expected by python docutils. path (str): The path to the desired output file stylesheet (str): An optional path to a css file that defines the style of the document. This defaults to /report.css. Use the default to get a hint how to create your own. defaultenc (str): The encoding that is reported to the browser for embedded text files, defaults to utf8. template (str): An optional path to a docutils HTML template. metadata (str): E.g. an optional author name or email address. """ try: import snakemake.report except ImportError: raise WorkflowError( "Python 3 package docutils needs to be installed to use the report function.") snakemake.report.report(text, path, stylesheet=stylesheet, defaultenc=defaultenc, template=template, metadata=metadata, **files) def R(code): """Execute R code This function executes the R code given as a string. The function requires rpy2 to be installed. Args: code (str): R code to be executed """ try: import rpy2.robjects as robjects except ImportError: raise ValueError( "Python 3 package rpy2 needs to be installed to use the R function.") robjects.r(format(textwrap.dedent(code), stepout=2)) def format(_pattern, *args, stepout=1, **kwargs): """Format a pattern in Snakemake style. This means that keywords embedded in braces are replaced by any variable values that are available in the current namespace. """ class SequenceFormatter: def __init__(self, sequence): self._sequence = sequence def __getitem__(self, i): return self._sequence[i] def __str__(self): return " ".join(self._sequence) frame = inspect.currentframe().f_back while stepout > 1: if not frame.f_back: break frame = frame.f_back stepout -= 1 variables = dict(frame.f_globals) # add local variables from calling rule/function variables.update(frame.f_locals) variables.update(kwargs) for key, value in list(variables.items()): if type(value) in (list, tuple, set, frozenset): variables[key] = SequenceFormatter(value) try: return _pattern.format(*args, **variables) except KeyError as ex: raise NameError("The name {} is unknown in this context. Please " "make sure that you defined that variable. " "Also note that braces not used for variable access " "have to be escaped by repeating them, " "i.e. {{{{print $1}}}}".format(str(ex))) class Unformattable: def __init__(self, errormsg="This cannot be used for formatting"): self.errormsg = errormsg def __str__(self): raise ValueError(self.errormsg) def read_job_properties(jobscript, prefix="# properties", pattern=re.compile("# properties = (.*)")): """Read the job properties defined in a snakemake jobscript. This function is a helper for writing custom wrappers for the snakemake --cluster functionality. Applying this function to a jobscript will return a dict containing information about the job. """ with open(jobscript) as jobscript: for m in map(pattern.match, jobscript): if m: return json.loads(m.group(1)) def min_version(version): """Require minimum snakemake version, raise workflow error if not met.""" import pkg_resources if pkg_resources.parse_version( snakemake.__version__) < pkg_resources.parse_version(version): raise WorkflowError( "Expecting Snakemake version {} or higher.".format(version)) def update_config(config, overwrite_config): """Recursively update dictionary config with overwrite_config. See http://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth for details. Args: config (dict): dictionary to update overwrite_config (dict): dictionary whose items will overwrite those in config """ def _update(d, u): for (key, value) in u.items(): if (isinstance(value, Mapping)): d[key] = _update(d.get(key, {}), value) else: d[key] = value return d _update(config, overwrite_config) def set_temporary_output(*rules): """Set the output of rules to temporary""" for rule in rules: logger.debug( "setting output of rule '{rule}' to temporary".format(rule=rule)) rule.temp_output = set(rule.output) def set_protected_output(*rules): """Set the output of rules to protected""" for rule in rules: logger.debug( "setting output of rule '{rule}' to protected".format(rule=rule)) rule.protected_output = set(rule.output) snakemake-snakemake-4c7c76effe4d/snakemake/version.py000066400000000000000000000000261265064562200227470ustar00rootroot00000000000000__version__ = "3.5.5" snakemake-snakemake-4c7c76effe4d/snakemake/workflow.py000066400000000000000000000653271265064562200231530ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import re import os import sys import signal import json import urllib from collections import OrderedDict from itertools import filterfalse, chain from functools import partial from operator import attrgetter from snakemake.logging import logger, format_resources, format_resource_names from snakemake.rules import Rule, Ruleorder from snakemake.exceptions import RuleException, CreateRuleException, \ UnknownRuleException, NoRulesException, print_exception, WorkflowError from snakemake.shell import shell from snakemake.dag import DAG from snakemake.scheduler import JobScheduler from snakemake.parser import parse import snakemake.io from snakemake.io import protected, temp, temporary, expand, dynamic, glob_wildcards, flag, not_iterable, touch from snakemake.persistence import Persistence from snakemake.utils import update_config from snakemake.script import script from snakemake.wrapper import wrapper class Workflow: def __init__(self, snakefile=None, snakemakepath=None, jobscript=None, overwrite_shellcmd=None, overwrite_config=dict(), overwrite_workdir=None, overwrite_configfile=None, overwrite_clusterconfig=dict(), config_args=None, debug=False): """ Create the controller. """ self._rules = OrderedDict() self.first_rule = None self._workdir = None self.overwrite_workdir = overwrite_workdir self.workdir_init = os.path.abspath(os.curdir) self._ruleorder = Ruleorder() self._localrules = set() self.linemaps = dict() self.rule_count = 0 self.basedir = os.path.dirname(snakefile) self.snakefile = os.path.abspath(snakefile) self.snakemakepath = snakemakepath self.included = [] self.included_stack = [] self.jobscript = jobscript self.persistence = None self.global_resources = None self.globals = globals() self._subworkflows = dict() self.overwrite_shellcmd = overwrite_shellcmd self.overwrite_config = overwrite_config self.overwrite_configfile = overwrite_configfile self.overwrite_clusterconfig = overwrite_clusterconfig self.config_args = config_args self._onsuccess = lambda log: None self._onerror = lambda log: None self.debug = debug self._rulecount = 0 global config config = dict() config.update(self.overwrite_config) global cluster_config cluster_config = dict() cluster_config.update(self.overwrite_clusterconfig) global rules rules = Rules() @property def subworkflows(self): return self._subworkflows.values() @property def rules(self): return self._rules.values() @property def concrete_files(self): return ( file for rule in self.rules for file in chain(rule.input, rule.output) if not callable(file) and not file.contains_wildcard() ) def check(self): for clause in self._ruleorder: for rulename in clause: if not self.is_rule(rulename): raise UnknownRuleException( rulename, prefix="Error in ruleorder definition.") def add_rule(self, name=None, lineno=None, snakefile=None): """ Add a rule. """ if name is None: name = str(len(self._rules) + 1) if self.is_rule(name): raise CreateRuleException( "The name {} is already used by another rule".format(name)) rule = Rule(name, self, lineno=lineno, snakefile=snakefile) self._rules[rule.name] = rule self.rule_count += 1 if not self.first_rule: self.first_rule = rule.name return name def is_rule(self, name): """ Return True if name is the name of a rule. Arguments name -- a name """ return name in self._rules def get_rule(self, name): """ Get rule by name. Arguments name -- the name of the rule """ if not self._rules: raise NoRulesException() if not name in self._rules: raise UnknownRuleException(name) return self._rules[name] def list_rules(self, only_targets=False): rules = self.rules if only_targets: rules = filterfalse(Rule.has_wildcards, rules) for rule in rules: logger.rule_info(name=rule.name, docstring=rule.docstring) def list_resources(self): for resource in set( resource for rule in self.rules for resource in rule.resources): if resource not in "_cores _nodes".split(): logger.info(resource) def is_local(self, rule): return rule.name in self._localrules or rule.norun def execute(self, targets=None, dryrun=False, touch=False, cores=1, nodes=1, local_cores=1, forcetargets=False, forceall=False, forcerun=None, until=[], omit_from=[], prioritytargets=None, quiet=False, keepgoing=False, printshellcmds=False, printreason=False, printdag=False, cluster=None, cluster_sync=None, jobname=None, immediate_submit=False, ignore_ambiguity=False, printrulegraph=False, printd3dag=False, drmaa=None, stats=None, force_incomplete=False, ignore_incomplete=False, list_version_changes=False, list_code_changes=False, list_input_changes=False, list_params_changes=False, summary=False, detailed_summary=False, latency_wait=3, benchmark_repeats=3, wait_for_files=None, nolock=False, unlock=False, resources=None, notemp=False, nodeps=False, cleanup_metadata=None, subsnakemake=None, updated_files=None, keep_target_files=False, keep_shadow=False, allowed_rules=None, greediness=1.0, no_hooks=False): self.global_resources = dict() if resources is None else resources self.global_resources["_cores"] = cores self.global_resources["_nodes"] = nodes def rules(items): return map(self._rules.__getitem__, filter(self.is_rule, items)) if keep_target_files: def files(items): return filterfalse(self.is_rule, items) else: def files(items): return map(os.path.relpath, filterfalse(self.is_rule, items)) if not targets: targets = [self.first_rule ] if self.first_rule is not None else list() if prioritytargets is None: prioritytargets = list() if forcerun is None: forcerun = list() if until is None: until = list() if omit_from is None: omit_from = list() priorityrules = set(rules(prioritytargets)) priorityfiles = set(files(prioritytargets)) forcerules = set(rules(forcerun)) forcefiles = set(files(forcerun)) untilrules = set(rules(until)) untilfiles = set(files(until)) omitrules = set(rules(omit_from)) omitfiles = set(files(omit_from)) targetrules = set(chain(rules(targets), filterfalse(Rule.has_wildcards, priorityrules), filterfalse(Rule.has_wildcards, forcerules), filterfalse(Rule.has_wildcards, untilrules))) targetfiles = set(chain(files(targets), priorityfiles, forcefiles, untilfiles)) if forcetargets: forcefiles.update(targetfiles) forcerules.update(targetrules) rules = self.rules if allowed_rules: rules = [rule for rule in rules if rule.name in set(allowed_rules)] if wait_for_files is not None: try: snakemake.io.wait_for_files(wait_for_files, latency_wait=latency_wait) except IOError as e: logger.error(str(e)) return False dag = DAG( self, rules, dryrun=dryrun, targetfiles=targetfiles, targetrules=targetrules, forceall=forceall, forcefiles=forcefiles, forcerules=forcerules, priorityfiles=priorityfiles, priorityrules=priorityrules, untilfiles=untilfiles, untilrules=untilrules, omitfiles=omitfiles, omitrules=omitrules, ignore_ambiguity=ignore_ambiguity, force_incomplete=force_incomplete, ignore_incomplete=ignore_incomplete or printdag or printrulegraph, notemp=notemp) self.persistence = Persistence( nolock=nolock, dag=dag, warn_only=dryrun or printrulegraph or printdag or summary or list_version_changes or list_code_changes or list_input_changes or list_params_changes) if cleanup_metadata: for f in cleanup_metadata: self.persistence.cleanup_metadata(f) return True dag.init() dag.check_dynamic() if unlock: try: self.persistence.cleanup_locks() logger.info("Unlocking working directory.") return True except IOError: logger.error("Error: Unlocking the directory {} failed. Maybe " "you don't have the permissions?") return False try: self.persistence.lock() except IOError: logger.error( "Error: Directory cannot be locked. Please make " "sure that no other Snakemake process is trying to create " "the same files in the following directory:\n{}\n" "If you are sure that no other " "instances of snakemake are running on this directory, " "the remaining lock was likely caused by a kill signal or " "a power loss. It can be removed with " "the --unlock argument.".format(os.getcwd())) return False if self.subworkflows and not printdag and not printrulegraph: # backup globals globals_backup = dict(self.globals) # execute subworkflows for subworkflow in self.subworkflows: subworkflow_targets = subworkflow.targets(dag) updated = list() if subworkflow_targets: logger.info( "Executing subworkflow {}.".format(subworkflow.name)) if not subsnakemake(subworkflow.snakefile, workdir=subworkflow.workdir, targets=subworkflow_targets, updated_files=updated): return False dag.updated_subworkflow_files.update(subworkflow.target(f) for f in updated) else: logger.info("Subworkflow {}: Nothing to be done.".format( subworkflow.name)) if self.subworkflows: logger.info("Executing main workflow.") # rescue globals self.globals.update(globals_backup) dag.check_incomplete() dag.postprocess() if nodeps: missing_input = [f for job in dag.targetjobs for f in job.input if dag.needrun(job) and not os.path.exists(f)] if missing_input: logger.error( "Dependency resolution disabled (--nodeps) " "but missing input " "files detected. If this happens on a cluster, please make sure " "that you handle the dependencies yourself or turn of " "--immediate-submit. Missing input files:\n{}".format( "\n".join(missing_input))) return False updated_files.extend(f for job in dag.needrun_jobs for f in job.output) if printd3dag: dag.d3dag() return True elif printdag: print(dag) return True elif printrulegraph: print(dag.rule_dot()) return True elif summary: print("\n".join(dag.summary(detailed=False))) return True elif detailed_summary: print("\n".join(dag.summary(detailed=True))) return True elif list_version_changes: items = list( chain(*map(self.persistence.version_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_code_changes: items = list(chain(*map(self.persistence.code_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_input_changes: items = list(chain(*map(self.persistence.input_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_params_changes: items = list( chain(*map(self.persistence.params_changed, dag.jobs))) if items: print(*items, sep="\n") return True if not keep_shadow: self.persistence.cleanup_shadow() scheduler = JobScheduler(self, dag, cores, local_cores=local_cores, dryrun=dryrun, touch=touch, cluster=cluster, cluster_config=cluster_config, cluster_sync=cluster_sync, jobname=jobname, immediate_submit=immediate_submit, quiet=quiet, keepgoing=keepgoing, drmaa=drmaa, printreason=printreason, printshellcmds=printshellcmds, latency_wait=latency_wait, benchmark_repeats=benchmark_repeats, greediness=greediness) if not dryrun and not quiet: if len(dag): if cluster or cluster_sync or drmaa: logger.resources_info( "Provided cluster nodes: {}".format(nodes)) else: logger.resources_info("Provided cores: {}".format(cores)) logger.resources_info("Rules claiming more threads will be scaled down.") provided_resources = format_resources(resources) if provided_resources: logger.resources_info( "Provided resources: " + provided_resources) ignored_resources = format_resource_names( set(resource for job in dag.needrun_jobs for resource in job.resources_dict if resource not in resources)) if ignored_resources: logger.resources_info( "Ignored resources: " + ignored_resources) logger.run_info("\n".join(dag.stats())) else: logger.info("Nothing to be done.") if dryrun and not len(dag): logger.info("Nothing to be done.") success = scheduler.schedule() if success: if dryrun: if not quiet and len(dag): logger.run_info("\n".join(dag.stats())) elif stats: scheduler.stats.to_json(stats) if not dryrun and not no_hooks: self._onsuccess(logger.get_logfile()) return True else: if not dryrun and not no_hooks: self._onerror(logger.get_logfile()) return False def include(self, snakefile, overwrite_first_rule=False, print_compilation=False, overwrite_shellcmd=None): """ Include a snakefile. """ # check if snakefile is a path to the filesystem if not urllib.parse.urlparse(snakefile).scheme: if not os.path.isabs(snakefile) and self.included_stack: current_path = os.path.dirname(self.included_stack[-1]) snakefile = os.path.join(current_path, snakefile) # Could still be an url if relative import was used if not urllib.parse.urlparse(snakefile).scheme: snakefile = os.path.abspath(snakefile) # else it could be an url. # at least we don't want to modify the path for clarity. if snakefile in self.included: logger.info("Multiple include of {} ignored".format(snakefile)) return self.included.append(snakefile) self.included_stack.append(snakefile) global workflow workflow = self first_rule = self.first_rule code, linemap, rulecount = parse(snakefile, overwrite_shellcmd=self.overwrite_shellcmd, rulecount=self._rulecount) self._rulecount = rulecount if print_compilation: print(code) # insert the current directory into sys.path # this allows to import modules from the workflow directory sys.path.insert(0, os.path.dirname(snakefile)) self.linemaps[snakefile] = linemap exec(compile(code, snakefile, "exec"), self.globals) if not overwrite_first_rule: self.first_rule = first_rule self.included_stack.pop() def onsuccess(self, func): self._onsuccess = func def onerror(self, func): self._onerror = func def workdir(self, workdir): if self.overwrite_workdir is None: os.makedirs(workdir, exist_ok=True) self._workdir = workdir os.chdir(workdir) def configfile(self, jsonpath): """ Update the global config with the given dictionary. """ global config c = snakemake.io.load_configfile(jsonpath) update_config(config, c) update_config(config, self.overwrite_config) def ruleorder(self, *rulenames): self._ruleorder.add(*rulenames) def subworkflow(self, name, snakefile=None, workdir=None): sw = Subworkflow(self, name, snakefile, workdir) self._subworkflows[name] = sw self.globals[name] = sw.target def localrules(self, *rulenames): self._localrules.update(rulenames) def rule(self, name=None, lineno=None, snakefile=None): name = self.add_rule(name, lineno, snakefile) rule = self.get_rule(name) def decorate(ruleinfo): if ruleinfo.input: rule.set_input(*ruleinfo.input[0], **ruleinfo.input[1]) if ruleinfo.output: rule.set_output(*ruleinfo.output[0], **ruleinfo.output[1]) if ruleinfo.params: rule.set_params(*ruleinfo.params[0], **ruleinfo.params[1]) if ruleinfo.threads: if not isinstance(ruleinfo.threads, int): raise RuleException("Threads value has to be an integer.", rule=rule) rule.resources["_cores"] = ruleinfo.threads if ruleinfo.shadow_depth: if ruleinfo.shadow_depth not in (True, "shallow", "full"): raise RuleException( "Shadow must either be 'shallow', 'full', " "or True (equivalent to 'full')", rule=rule) if ruleinfo.shadow_depth is True: rule.shadow_depth = 'full' else: rule.shadow_depth = ruleinfo.shadow_depth if ruleinfo.resources: args, resources = ruleinfo.resources if args: raise RuleException("Resources have to be named.") if not all(map(lambda r: isinstance(r, int), resources.values())): raise RuleException( "Resources values have to be integers.", rule=rule) rule.resources.update(resources) if ruleinfo.priority: if (not isinstance(ruleinfo.priority, int) and not isinstance(ruleinfo.priority, float)): raise RuleException("Priority values have to be numeric.", rule=rule) rule.priority = ruleinfo.priority if ruleinfo.version: rule.version = ruleinfo.version if ruleinfo.log: rule.set_log(*ruleinfo.log[0], **ruleinfo.log[1]) if ruleinfo.message: rule.message = ruleinfo.message if ruleinfo.benchmark: rule.benchmark = ruleinfo.benchmark rule.norun = ruleinfo.norun rule.docstring = ruleinfo.docstring rule.run_func = ruleinfo.func rule.shellcmd = ruleinfo.shellcmd ruleinfo.func.__name__ = "__{}".format(name) self.globals[ruleinfo.func.__name__] = ruleinfo.func setattr(rules, name, rule) return ruleinfo.func return decorate def docstring(self, string): def decorate(ruleinfo): ruleinfo.docstring = string return ruleinfo return decorate def input(self, *paths, **kwpaths): def decorate(ruleinfo): ruleinfo.input = (paths, kwpaths) return ruleinfo return decorate def output(self, *paths, **kwpaths): def decorate(ruleinfo): ruleinfo.output = (paths, kwpaths) return ruleinfo return decorate def params(self, *params, **kwparams): def decorate(ruleinfo): ruleinfo.params = (params, kwparams) return ruleinfo return decorate def message(self, message): def decorate(ruleinfo): ruleinfo.message = message return ruleinfo return decorate def benchmark(self, benchmark): def decorate(ruleinfo): ruleinfo.benchmark = benchmark return ruleinfo return decorate def threads(self, threads): def decorate(ruleinfo): ruleinfo.threads = threads return ruleinfo return decorate def shadow(self, shadow_depth): def decorate(ruleinfo): ruleinfo.shadow_depth = shadow_depth return ruleinfo return decorate def resources(self, *args, **resources): def decorate(ruleinfo): ruleinfo.resources = (args, resources) return ruleinfo return decorate def priority(self, priority): def decorate(ruleinfo): ruleinfo.priority = priority return ruleinfo return decorate def version(self, version): def decorate(ruleinfo): ruleinfo.version = version return ruleinfo return decorate def log(self, *logs, **kwlogs): def decorate(ruleinfo): ruleinfo.log = (logs, kwlogs) return ruleinfo return decorate def shellcmd(self, cmd): def decorate(ruleinfo): ruleinfo.shellcmd = cmd return ruleinfo return decorate def norun(self): def decorate(ruleinfo): ruleinfo.norun = True return ruleinfo return decorate def run(self, func): return RuleInfo(func) @staticmethod def _empty_decorator(f): return f class RuleInfo: def __init__(self, func): self.func = func self.shellcmd = None self.norun = False self.input = None self.output = None self.params = None self.message = None self.benchmark = None self.threads = None self.shadow_depth = None self.resources = None self.priority = None self.version = None self.log = None self.docstring = None class Subworkflow: def __init__(self, workflow, name, snakefile, workdir): self.workflow = workflow self.name = name self._snakefile = snakefile self._workdir = workdir @property def snakefile(self): if self._snakefile is None: return os.path.abspath(os.path.join(self.workdir, "Snakefile")) if not os.path.isabs(self._snakefile): return os.path.abspath(os.path.join(self.workflow.basedir, self._snakefile)) return self._snakefile @property def workdir(self): workdir = "." if self._workdir is None else self._workdir if not os.path.isabs(workdir): return os.path.abspath(os.path.join(self.workflow.basedir, workdir)) return workdir def target(self, paths): if not_iterable(paths): return flag(os.path.join(self.workdir, paths), "subworkflow", self) return [self.target(path) for path in paths] def targets(self, dag): return [f for job in dag.jobs for f in job.subworkflow_input if job.subworkflow_input[f] is self] class Rules: """ A namespace for rules so that they can be accessed via dot notation. """ pass def srcdir(path): """Return the absolute path, relative to the source directory of the current Snakefile.""" if not workflow.included_stack: return None return os.path.join(os.path.dirname(workflow.included_stack[-1]), path) snakemake-snakemake-4c7c76effe4d/snakemake/wrapper.py000066400000000000000000000014721265064562200227500ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2016, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import os from snakemake.script import script def wrapper(path, input, output, params, wildcards, threads, resources, log, config): """ Load a wrapper from https://bitbucket.org/snakemake/snakemake-wrappers under the given path + wrapper.py and execute it. """ # TODO handle requirements.txt if not (path.startswith("http") or path.startswith("file:")): path = os.path.join("https://bitbucket.org/snakemake/snakemake-wrappers/raw", path) if not (path.endswith("wrapper.py") or path.endswith("wrapper.R")): path = os.path.join(path, "wrapper.py") script("", path, input, output, params, wildcards, threads, resources, log, config) snakemake-snakemake-4c7c76effe4d/tests/000077500000000000000000000000001265064562200201155ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/__init__.py000066400000000000000000000000001265064562200222140ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/knapsack/000077500000000000000000000000001265064562200217105ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/knapsack/1.txt000066400000000000000000000000001265064562200225770ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/knapsack/2.txt000066400000000000000000000000001265064562200226000ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/knapsack/3.txt000066400000000000000000000000001265064562200226010ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/knapsack/Snakefile000066400000000000000000000007431265064562200235400ustar00rootroot00000000000000# kate: syntax python; DATASETS = '1 2 3'.split() rule mapmature_all: input: '{ds}.bam'.format(ds=ds) for ds in DATASETS rule gzip: output: '{file}.gz' input: '{file}' shell: 'gzip < {input} > {output}' rule cutadapt: output: fastq=temp('{ds}.fastq') input: '{ds}.txt' shell: 'echo hello > {output.fastq}' rule bwa_mature: output: bam='{ds}.bam' input: reads='{ds}.fastq.gz' threads: 4 shell: 'echo starting with {threads} threads; sleep 10; touch {output.bam}' snakemake-snakemake-4c7c76effe4d/tests/test01/000077500000000000000000000000001265064562200212355ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test01/Snakefile000066400000000000000000000021661265064562200230660ustar00rootroot00000000000000from snakemake.utils import min_version shell.executable("/bin/bash") shell.prefix("source ~/.bashrc; ") min_version("2.1") TEST = "abc" onsuccess: print("Workflow finished") print("Log:") print(log) onerror: print("Workflow failed") print("Log:") print(log) ruleorder: rule2 > rule4 def testin(wildcards): return "test.in" def version(): return "3.3" rule rule1: # This rule creates an intermediate file. input: 'test.inter' output: 'dir/test.out' log: a='log/logfile.log' version: version() threads: 4 shell: 'if [ {threads} -ne 3 ]; then echo "This test has to be run with -j3 in order to succeed!"; exit 1; fi; ' \ 'echo {TEST}; echo {version}; cp {input[0]} {output[0]}; ' # append a comment 'echo test > {log.a}' rule rule2: input: testin output: 'test.inter' # message: 'Copying {input[0]} to {output[0]}' shell: ''' cp {input[0]} {output[0]} ''' rule rule4: input: "test.in" output: "test.inter" shell: "cp {input} {output}" # this should be ignored since test.in is present rule rule3: input: "dir/{a}.out" output: "{a}.in" shell: "cp {input} {output}" snakemake-snakemake-4c7c76effe4d/tests/test01/expected-results/000077500000000000000000000000001265064562200245355ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test01/expected-results/dir/000077500000000000000000000000001265064562200253135ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test01/expected-results/dir/test.out000066400000000000000000000000101265064562200270120ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test01/expected-results/test.inter000066400000000000000000000000101265064562200265460ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test01/test.in000066400000000000000000000000101265064562200225330ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test02/000077500000000000000000000000001265064562200212365ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test02/Snakefile000066400000000000000000000005471265064562200230700ustar00rootroot00000000000000rule all: input: 'test.out' rule rule1: input: '{name}.in' output: '{name}.inter' #message: 'Copying {input[0]} to {output[0]}' log: "logs/{name}.log" shell: 'echo test > {log}; cp {input[0]} {output[0]}' rule rule2: input: '{name}.inter' output: '{name}.out' #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-snakemake-4c7c76effe4d/tests/test02/expected-results/000077500000000000000000000000001265064562200245365ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test02/expected-results/test.out000066400000000000000000000000101265064562200262350ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test02/test.in000066400000000000000000000000101265064562200225340ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test03/000077500000000000000000000000001265064562200212375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test03/Snakefile000066400000000000000000000002121265064562200230560ustar00rootroot00000000000000rule rule1: input: '{name}.in' output: '{name}.out' message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-snakemake-4c7c76effe4d/tests/test03/expected-results/000077500000000000000000000000001265064562200245375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test03/expected-results/test.out000066400000000000000000000000101265064562200262360ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test03/params000066400000000000000000000000111265064562200224350ustar00rootroot00000000000000test.out snakemake-snakemake-4c7c76effe4d/tests/test03/test.in000066400000000000000000000000101265064562200225350ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test04/000077500000000000000000000000001265064562200212405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test04/Snakefile000066400000000000000000000006701265064562200230670ustar00rootroot00000000000000rule rule1: input: '{name}.bogus.in' output: '{name}.out' message: 'Writing junk to {output[0]}' shell: 'echo "junk" > {output[0]}; cat {input}' rule rule2: input: '{name}.in' output: '{name}.out' message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' rule rule3: input: '{name}.more.bogus.in' output: '{name}.out' message: 'Writing junk to {output[0]}' shell: 'echo "junk" > {output[0]}; cat{input}' snakemake-snakemake-4c7c76effe4d/tests/test04/expected-results/000077500000000000000000000000001265064562200245405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test04/expected-results/test.out000066400000000000000000000000101265064562200262370ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test04/params000066400000000000000000000000111265064562200224360ustar00rootroot00000000000000test.out snakemake-snakemake-4c7c76effe4d/tests/test04/test.in000066400000000000000000000000101265064562200225360ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test05/000077500000000000000000000000001265064562200212415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test05/Snakefile000066400000000000000000000014251265064562200230670ustar00rootroot00000000000000chromosomes = [1,2,3] #shell('rm test.*.inter 2> /dev/null | true') rule all: input: 'test.predictions' rule compute1: input: '{name}.in' output: inter=expand('{{name}}.{chr}.inter', chr=chromosomes) resources: gpu=1 run: assert len(output.inter) > 0 print(output.inter) for out in output: shell('(cat {input[0]} && echo "Part {out}") > {out}') rule compute2: input: '{name}.{chromosome}.inter', 'other.txt' output: '{name}.{chromosome}.inter2' threads: 2 resources: io=1 shell: 'cp {input[0]} {output[0]}' rule gather: input: ['{name}.%s.inter2'%c for c in chromosomes] output: '{name}.predictions' run: shell('cat {} > {}'.format(' '.join(input), output[0])) rule other: output: 'other.txt' priority: 50 resources: gpu=1 shell: 'touch other.txt' snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/000077500000000000000000000000001265064562200245415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.1.inter000066400000000000000000000000321265064562200267150ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.1.inter2000066400000000000000000000000321265064562200267770ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.2.inter000066400000000000000000000000321265064562200267160ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.2.inter2000066400000000000000000000000321265064562200270000ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.3.inter000066400000000000000000000000321265064562200267170ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.3.inter2000066400000000000000000000000321265064562200270010ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test05/expected-results/test.predictions000066400000000000000000000001161265064562200277630ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test05/test.in000066400000000000000000000000101265064562200225370ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test06/000077500000000000000000000000001265064562200212425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test06/Snakefile000066400000000000000000000003061265064562200230650ustar00rootroot00000000000000rule all: input: 'test.bla.out' rule wildcards: input: 'test.in' output: 'test.{xyz}.out' message: 'Creating file {output[0]}, xyz={wildcards.xyz}' shell: 'echo {wildcards.xyz} > {output[0]}' snakemake-snakemake-4c7c76effe4d/tests/test06/expected-results/000077500000000000000000000000001265064562200245425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test06/expected-results/test.bla.out000066400000000000000000000000041265064562200270010ustar00rootroot00000000000000bla snakemake-snakemake-4c7c76effe4d/tests/test06/test.in000066400000000000000000000000101265064562200225400ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test07/000077500000000000000000000000001265064562200212435ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test07/Snakefile000066400000000000000000000002501265064562200230640ustar00rootroot00000000000000 rule rule1: input: 'test.in' output: 'test.out' shell: 'cp {input} {output}' rule rule2: input: 'test.in' output: 'test2.out' shell: 'cp {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test07/expected-results/000077500000000000000000000000001265064562200245435ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test07/expected-results/test.out000066400000000000000000000000101265064562200262420ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test07/expected-results/test2.out000066400000000000000000000000101265064562200263240ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test07/test.in000066400000000000000000000000101265064562200225410ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test08/000077500000000000000000000000001265064562200212445ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test08/Snakefile000066400000000000000000000002641265064562200230720ustar00rootroot00000000000000rule rule1: input: '{file}.in' output: '{file}.inter' shell: 'cp {input} {output}' rule rule2: input: '{file}.inter' output: '{file}.out' shell: 'cp {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test08/expected-results/000077500000000000000000000000001265064562200245445ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test08/expected-results/test.out000066400000000000000000000000101265064562200262430ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test08/expected-results/test2.out000066400000000000000000000000041265064562200263300ustar00rootroot00000000000000Hoi snakemake-snakemake-4c7c76effe4d/tests/test08/test.in000066400000000000000000000000101265064562200225420ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test08/test2.in000066400000000000000000000000041265064562200226270ustar00rootroot00000000000000Hoi snakemake-snakemake-4c7c76effe4d/tests/test09/000077500000000000000000000000001265064562200212455ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test09/Snakefile000066400000000000000000000004351265064562200230730ustar00rootroot00000000000000 def fail(input, output): shell("false && cp {input} {output}") def x(input, output): fail(input, output) rule rule2: input: 'test.inter' output: 'test.out' shell: 'cp {input} {output}' rule rule1: input: 'test.in' output: 'test.inter' shell: "false && cp {input} {output}" snakemake-snakemake-4c7c76effe4d/tests/test09/expected-results/000077500000000000000000000000001265064562200245455ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test09/expected-results/.gitignore000066400000000000000000000000001265064562200265230ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test09/test.in000066400000000000000000000000101265064562200225430ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test10/000077500000000000000000000000001265064562200212355ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test10/Snakefile000066400000000000000000000001271265064562200230610ustar00rootroot00000000000000rule rule1: input: 'test.in' output: 'test.out' run: shell('cp {input} {output}') snakemake-snakemake-4c7c76effe4d/tests/test10/expected-results/000077500000000000000000000000001265064562200245355ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test10/expected-results/test.out000066400000000000000000000000101265064562200262340ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test10/test.in000066400000000000000000000000101265064562200225330ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test11/000077500000000000000000000000001265064562200212365ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test11/Snakefile000066400000000000000000000001551265064562200230630ustar00rootroot00000000000000include: "import.snakefile" rule: input: 'test.inter' output: 'test.out' shell: 'cp {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test11/expected-results/000077500000000000000000000000001265064562200245365ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test11/expected-results/test.inter000066400000000000000000000000101265064562200265470ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test11/expected-results/test.out000066400000000000000000000000101265064562200262350ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test11/import.snakefile000066400000000000000000000001171265064562200244320ustar00rootroot00000000000000rule: input: 'test.in' output: 'test.inter' shell: 'cp {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test11/test.in000066400000000000000000000000101265064562200225340ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test12/000077500000000000000000000000001265064562200212375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test12/Snakefile000066400000000000000000000004341265064562200230640ustar00rootroot00000000000000 rule rule1: input: 'test.inter' output: 'test.out' #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' rule rule2: input: 'test.in' output: temp('test.inter') #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-snakemake-4c7c76effe4d/tests/test12/expected-results/000077500000000000000000000000001265064562200245375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test12/expected-results/test.out000066400000000000000000000000101265064562200262360ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test12/test.in000066400000000000000000000000101265064562200225350ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test13/000077500000000000000000000000001265064562200212405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test13/Snakefile000066400000000000000000000005401265064562200230630ustar00rootroot00000000000000rule all: input: 'test.algo1-p7-improved.out' rule run_algo1: input: '{dataset}.in' output: '{dataset}.algo1-p{param,[0-9]+}.out' shell: 'echo "algo1 / {wildcards.param}" > {output}' rule postprocess: input: '{dataset}.{algorithm}.out' output: '{dataset}.{algorithm}-improved.out' shell: 'cp {input} {output} && (echo "IMPROVED" >> {output})' snakemake-snakemake-4c7c76effe4d/tests/test13/expected-results/000077500000000000000000000000001265064562200245405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test13/expected-results/test.algo1-p7-improved.out000066400000000000000000000000231265064562200314140ustar00rootroot00000000000000algo1 / 7 IMPROVED snakemake-snakemake-4c7c76effe4d/tests/test13/expected-results/test.algo1-p7.out000066400000000000000000000000121265064562200275670ustar00rootroot00000000000000algo1 / 7 snakemake-snakemake-4c7c76effe4d/tests/test13/test.in000066400000000000000000000000101265064562200225360ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test14/000077500000000000000000000000001265064562200212415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test14/Snakefile.nonstandard000066400000000000000000000011161265064562200253760ustar00rootroot00000000000000chromosomes = [1,2,3,4,5] localrules: all rule all: input: 'test.predictions', 'test.2.inter2' rule compute1: input: '{name}.in' output: ['{name}.%s.inter'%c for c in chromosomes] run: for out in output: shell('(cat {input[0]} && echo "Part {out}") > {out}') rule compute2: input: '{name}.{chromosome}.inter' output: '{name}.{chromosome}.inter2' params: test="a=b" shell: 'echo copy; cp {input[0]} {output[0]}' rule gather: input: ['{name}.%s.inter2'%c for c in chromosomes] output: '{name}.predictions' run: shell('cat {} > {}'.format(' '.join(input), output[0])) snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/000077500000000000000000000000001265064562200245415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.1.inter000066400000000000000000000000321265064562200267150ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.1.inter2000066400000000000000000000000321265064562200267770ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.2.inter000066400000000000000000000000321265064562200267160ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.2.inter2000066400000000000000000000000321265064562200270000ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.3.inter000066400000000000000000000000321265064562200267170ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.3.inter2000066400000000000000000000000321265064562200270010ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test14/expected-results/test.predictions000066400000000000000000000002021265064562200277570ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter testz0r Part test.4.inter testz0r Part test.5.inter snakemake-snakemake-4c7c76effe4d/tests/test14/qsub000077500000000000000000000002001265064562200221310ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM sh $1 snakemake-snakemake-4c7c76effe4d/tests/test14/qsub.py000077500000000000000000000004771265064562200226000ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-snakemake-4c7c76effe4d/tests/test14/test.in000066400000000000000000000000101265064562200225370ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test15/000077500000000000000000000000001265064562200212425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test15/Snakefile000066400000000000000000000002331265064562200230640ustar00rootroot00000000000000 rule a: input: test = lambda wildcards: "test2.in" if os.path.exists("test2.in") else "test.in" output: "test.out" shell: "cp {input.test} {output}" snakemake-snakemake-4c7c76effe4d/tests/test15/expected-results/000077500000000000000000000000001265064562200245425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test15/expected-results/test.out000066400000000000000000000000101265064562200262410ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test15/test.in000066400000000000000000000000101265064562200225400ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/000077500000000000000000000000001265064562200233775ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/Snakefile000066400000000000000000000012121265064562200252170ustar00rootroot00000000000000import os.path import sys instances = [os.path.basename(s[:len(s)-4]) for s in os.listdir('mfa') if s.endswith('.mfa')] rule all: input: ['fisher/%s.pairs.gz'%s for s in instances] + ['ph/%s.ph'%s for s in instances] rule extract_mismatch_counts: input: 'mfa/{instance}.mfa' output: 'fisher/{instance}.pairs.gz' message: 'Extracting number mismatches for each pair of sequences from {input}' shell: 'sleep 2; touch {output}' rule create_tree: input: 'mfa/{instance}.mfa' output: 'ph/{instance}.ph', 'ph/{instance}.ph.log' message: 'Running CLUSTALW to compute NJ tree from {input}' shell: "sleep 2; touch {output[0]}; touch {output[1]}" snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/000077500000000000000000000000001265064562200241425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/00.mfa000066400000000000000000000000001265064562200250340ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/01.mfa000066400000000000000000000000001265064562200250350ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/02.mfa000066400000000000000000000000001265064562200250360ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/03.mfa000066400000000000000000000000001265064562200250370ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/04.mfa000066400000000000000000000000001265064562200250400ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/05.mfa000066400000000000000000000000001265064562200250410ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/06.mfa000066400000000000000000000000001265064562200250420ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/07.mfa000066400000000000000000000000001265064562200250430ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/08.mfa000066400000000000000000000000001265064562200250440ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/09.mfa000066400000000000000000000000001265064562200250450ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/testHighWorkload/mfa/10.mfa000066400000000000000000000000001265064562200250350ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_benchmark/000077500000000000000000000000001265064562200231065ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_benchmark/Snakefile000066400000000000000000000002031265064562200247250ustar00rootroot00000000000000 rule all: input: "test.benchmark.txt" rule: benchmark: "{v}.benchmark.txt" shell: "sleep 1" snakemake-snakemake-4c7c76effe4d/tests/test_benchmark/expected-results/000077500000000000000000000000001265064562200264065ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_benchmark/expected-results/test.benchmark.txt000066400000000000000000000000001265064562200320450ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/000077500000000000000000000000001265064562200243415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/Snakefile000066400000000000000000000010571265064562200261700ustar00rootroot00000000000000import re, os, sys rule all: input: "out.txt" rule split: input: 'test.txt' output: dynamic('prefix{split_id}.txt') run: shell('split -l 2 {input} prefix') for f in os.listdir(os.getcwd()): if re.search('prefix[a-z][a-z]', f): os.rename(f, f + '.txt') rule cut: input: 'prefix{split_id,[a-z][a-z]}.txt' output: '{split_id}_cut.txt' shell: 'cut -f 1,2 {input} > {output}' rule merge: input: dynamic('{split_id}_cut.txt') output: 'out.txt' shell: 'cat {input} > {output}' snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/expected-results/000077500000000000000000000000001265064562200276415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/expected-results/out.txt000066400000000000000000000000071265064562200312060ustar00rootroot00000000000000 snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/qsub000077500000000000000000000002001265064562200252310ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM sh $1 snakemake-snakemake-4c7c76effe4d/tests/test_cluster_dynamic/test.txt000066400000000000000000000000071265064562200260560ustar00rootroot00000000000000 snakemake-snakemake-4c7c76effe4d/tests/test_conditional/000077500000000000000000000000001265064562200234575ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_conditional/Snakefile000066400000000000000000000006621265064562200253070ustar00rootroot00000000000000 CONDITION = False if CONDITION: rule: output: "test.out" shell: "echo bla; exit 1" else: rule: output: "test.out" shell: "touch {output}" # the following is bad style and just for testing. You should rather write a rule that collects test{i}.out as input files and have ONE rule that generates any of the files with a wildcard. for i in range(3): rule: output: "test.{i}.out".format(i=i) shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_conditional/expected-results/000077500000000000000000000000001265064562200267575ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_conditional/expected-results/test.0.out000066400000000000000000000000001265064562200306130ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_conditional/expected-results/test.1.out000066400000000000000000000000001265064562200306140ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_conditional/expected-results/test.2.out000066400000000000000000000000001265064562200306150ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_conditional/expected-results/test.out000066400000000000000000000000001265064562200304550ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_config/000077500000000000000000000000001265064562200224215ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_config/Snakefile000066400000000000000000000002041265064562200242410ustar00rootroot00000000000000 include: "test.rules" configfile: "test.json" rule: output: config["outfile"] shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_config/expected-results/000077500000000000000000000000001265064562200257215ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_config/expected-results/test.out000066400000000000000000000000001265064562200274170ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_config/test.json000066400000000000000000000000361265064562200242720ustar00rootroot00000000000000{ "outfile": "test.out" } snakemake-snakemake-4c7c76effe4d/tests/test_config/test.rules000066400000000000000000000000311265064562200244460ustar00rootroot00000000000000configfile: "test2.json" snakemake-snakemake-4c7c76effe4d/tests/test_config/test2.json000066400000000000000000000000371265064562200243550ustar00rootroot00000000000000{ "outfile": "test2.out" } snakemake-snakemake-4c7c76effe4d/tests/test_config/test3.json000066400000000000000000000000371265064562200243560ustar00rootroot00000000000000{ "outfile": "test3.out" } snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/000077500000000000000000000000001265064562200226005ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/Snakefile000066400000000000000000000010511265064562200244210ustar00rootroot00000000000000# snakemake rule all: input: a=dynamic("test.{n}.{bla}.out"), b=dynamic("test.{n}.{bla}.csv") run: print(input.b) rule inter: input: "test.{n}.{bla}.inter" output: "test.{n}.{bla}.out" shell: "cp {input} {output}" rule dynoutput: input: "test.xy.in" output: dynamic("test.{n}.{bla}.inter") shell: "for i in {{0..2}}; do touch test.0$i.xy.inter; done" rule: input: "test.{n}.{bla}.inter" output: "test.{n}.{bla}.txt" shell: "touch {output}" rule: input: "test.{n}.{bla}.txt" output: "test.{n}.{bla}.csv" shell: "cp {input} {output}" snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/000077500000000000000000000000001265064562200261005ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.00.xy.csv000066400000000000000000000000001265064562200304370ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.00.xy.out000066400000000000000000000000001265064562200304530ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.01.xy.csv000066400000000000000000000000001265064562200304400ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.01.xy.out000066400000000000000000000000001265064562200304540ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.02.xy.csv000066400000000000000000000000001265064562200304410ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/expected-results/test.02.xy.out000066400000000000000000000000001265064562200304550ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic/test.xy.in000066400000000000000000000000001265064562200245340ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/000077500000000000000000000000001265064562200243275ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/Snakefile000066400000000000000000000010511265064562200261500ustar00rootroot00000000000000rule all: input: expand("{sample}_final", sample=["a", "b", "c"]) rule init: output: "{sample}.init" shell: "touch {output}" rule random_clusters: input: "{sample}.init" output: dynamic("{sample}_clusters/cluster_{clustid}") run: shell("mkdir -p {wildcards.sample}_clusters") for i in range(3): shell("touch {wildcards.sample}_clusters/cluster_" + str(i)) rule concatenate_clusters: input: dynamic("{sample}_clusters/cluster_{clustid}") output: "{sample}_final" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/expected-results/000077500000000000000000000000001265064562200276275ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/expected-results/a_final000066400000000000000000000000001265064562200311310ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/expected-results/b_final000066400000000000000000000000001265064562200311320ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_dynamic_complex/expected-results/c_final000066400000000000000000000000001265064562200311330ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_empty_include/000077500000000000000000000000001265064562200240155ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_empty_include/Snakefile000066400000000000000000000000311265064562200256330ustar00rootroot00000000000000include: "include.rules" snakemake-snakemake-4c7c76effe4d/tests/test_empty_include/expected-results/000077500000000000000000000000001265064562200273155ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_empty_include/expected-results/.gitignore000066400000000000000000000000001265064562200312730ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_empty_include/include.rules000066400000000000000000000000001265064562200265020ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/000077500000000000000000000000001265064562200237745ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/Snakefile000066400000000000000000000002551265064562200256220ustar00rootroot00000000000000 IDS, = glob_wildcards("test.{id}.txt") rule all: input: expand("test.{id}.out", id=IDS) rule: input: "test.{id}.txt" output: "test.{id}.out" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/expected-results/000077500000000000000000000000001265064562200272745ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/expected-results/test.0.out000066400000000000000000000000001265064562200311300ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/expected-results/test.1.out000066400000000000000000000000001265064562200311310ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/expected-results/test.2.out000066400000000000000000000000001265064562200311320ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/test.0.txt000066400000000000000000000000001265064562200256400ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/test.1.txt000066400000000000000000000000001265064562200256410ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_globwildcards/test.2.txt000066400000000000000000000000001265064562200256420ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/000077500000000000000000000000001265064562200236735ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/Snakefile000066400000000000000000000002221265064562200255130ustar00rootroot00000000000000rule: input: bla="test.in1 test.in2".split() output: "test.out" run: print(input.bla) assert len(input.bla) == 2 shell("touch {output}") snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/expected-results/000077500000000000000000000000001265064562200271735ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/expected-results/test.out000066400000000000000000000000001265064562200306710ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/test.in1000066400000000000000000000000001265064562200252510ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_keyword_list/test.in2000066400000000000000000000000001265064562200252520ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/000077500000000000000000000000001265064562200236405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/Snakefile000066400000000000000000000001121265064562200254560ustar00rootroot00000000000000import bar import foo rule: output: "test.out" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_local_import/bar.py000066400000000000000000000000001265064562200247440ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/expected-results/000077500000000000000000000000001265064562200271405ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/expected-results/test.out000066400000000000000000000000001265064562200306360ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/foo/000077500000000000000000000000001265064562200244235ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_local_import/foo/__init__.py000066400000000000000000000000001265064562200265220ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_many_jobs/000077500000000000000000000000001265064562200231355ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_many_jobs/Snakefile000066400000000000000000000005541265064562200247650ustar00rootroot00000000000000 rule: input: expand("{sample}.out", sample=range(50000)) rule: input: "{sample}.inter2" output: "{sample}.out" shell: "touch {output}" rule: input: "{sample}.inter1" output: "{sample}.inter2" shell: "touch {output}" rule: input: "{sample}.in" output: "{sample}.inter1" shell: "touch {output}" rule: output: "{sample}.in" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/000077500000000000000000000000001265064562200246755ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/Snakefile000066400000000000000000000001541265064562200265210ustar00rootroot00000000000000include: 'test_rule.smk' include: 'test_second_rule.smk' rule all: input: rules.test_second_rule.outputsnakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/expected-results/000077500000000000000000000000001265064562200301755ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/expected-results/test1.txt000066400000000000000000000000001265064562200317640ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/expected-results/test2.txt000066400000000000000000000000001265064562200317650ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/test_rule.smk000066400000000000000000000001041265064562200274120ustar00rootroot00000000000000rule test_rule: output: 'test1.txt' shell: 'touch {output}'snakemake-snakemake-4c7c76effe4d/tests/test_multiple_includes/test_second_rule.smk000066400000000000000000000001551265064562200307530ustar00rootroot00000000000000rule test_second_rule: input: rules.test_rule.output output: 'test2.txt' shell: 'touch {output}'snakemake-snakemake-4c7c76effe4d/tests/test_nonstr_params/000077500000000000000000000000001265064562200240425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_nonstr_params/Snakefile000066400000000000000000000002171265064562200256660ustar00rootroot00000000000000rule: output: "test.out" params: test=True run: assert params.test is True shell("touch {output}") snakemake-snakemake-4c7c76effe4d/tests/test_nonstr_params/expected-results/000077500000000000000000000000001265064562200273425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_nonstr_params/expected-results/test.out000066400000000000000000000000001265064562200310400ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/000077500000000000000000000000001265064562200230105ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/Snakefile000066400000000000000000000023201265064562200246310ustar00rootroot00000000000000 rule all: input: "levelthree.txt", "independent.txt", expand("test{num}.final", num=[1, 2]) rule levelone: output: "levelone.txt" shell: "touch {output}" rule leveltwo_first: input: rules.levelone.output output: "leveltwo_first.txt" shell: "cp -f {input} {output}" rule leveltwo_second: input: rules.levelone.output output: "leveltwo_second.txt" shell: "cp -f {input} {output}" rule levelthree: # should not be created input: rules.leveltwo_first.output, rules.leveltwo_second.output output: "levelthree.txt" shell: "cat {input} > {output}" rule independent: # should be created in --omit-from but not --until output: "independent.txt" shell: "touch {output}" ###### Wildcard Rules ####### rule zeroth_wildcard: output: "test{num}.txt" shell: "touch {output}" rule first_wildcard: input: 'test{num}.txt' output: 'test{num}.first' shell: 'cp -f {input} {output}' rule second_wildcard: input: 'test{num}.first' output: 'test{num}.second' shell: 'cp -f {input} {output}' rule final_wildcard: input: 'test{num}.second' output: 'test{num}.final' shell: 'cp -f {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/000077500000000000000000000000001265064562200263105ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/independent.txt000066400000000000000000000000001265064562200313340ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/levelone.txt000066400000000000000000000000001265064562200306500ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/leveltwo_first.txt000066400000000000000000000000001265064562200321070ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/leveltwo_second.txt000066400000000000000000000000001265064562200322330ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/test1.second000066400000000000000000000000001265064562200305330ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_omitfrom/expected-results/test2.second000066400000000000000000000000001265064562200305340ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_params/000077500000000000000000000000001265064562200224375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_params/Snakefile000066400000000000000000000003571265064562200242700ustar00rootroot00000000000000 """ This is a test for the params syntax. """ rule: input: "somedir/test.out" rule: params: lambda wildcards: "-f", dir="{dir}" output: "{dir}/test.out" shell: "rm -r {params.dir}; mkdir -p {params.dir}; touch {params[0]} {output}" snakemake-snakemake-4c7c76effe4d/tests/test_params/expected-results/000077500000000000000000000000001265064562200257375ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_params/expected-results/somedir/000077500000000000000000000000001265064562200274015ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_params/expected-results/somedir/test.out000066400000000000000000000000001265064562200310770ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_parser/000077500000000000000000000000001265064562200224505ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_parser/Snakefile000066400000000000000000000002031265064562200242670ustar00rootroot00000000000000 class Test: def __init__(self): self.include = "test.out" rule: output: Test().include shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_parser/expected-results/000077500000000000000000000000001265064562200257505ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_parser/expected-results/test.out000066400000000000000000000000001265064562200274460ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_parser/test.out000066400000000000000000000000001265064562200241460ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_persistent_dict/000077500000000000000000000000001265064562200243575ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_persistent_dict/Snakefile000066400000000000000000000011671265064562200262100ustar00rootroot00000000000000try: from pytools.persistent_dict import PersistentDict storage = PersistentDict("mystorage") storage.store("var1", 100) rule all: input: expand("test.{i}.out", i=range(3)) rule: input: "test.in" output: "test.{i}.out" run: assert storage.fetch("var1") == 100 with open(output[0], "w") as out: v = storage.fetch("var2") assert v == 1 print(v, file=out) rule: output: temp("test.in") # mark output as temp, since var1 has to be stored in each run run: storage.store("var2", 1) shell("touch {output}") except ImportError: # do not run the test if pytools is not installed pass snakemake-snakemake-4c7c76effe4d/tests/test_persistent_dict/expected-results/000077500000000000000000000000001265064562200276575ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_persistent_dict/expected-results/.gitignore000066400000000000000000000000001265064562200316350ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_remote/000077500000000000000000000000001265064562200224475ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_remote/S3Mocked.py000066400000000000000000000103621265064562200244330ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os, sys from contextlib import contextmanager import pickle import time import threading import functools # intra-module from snakemake.remote.S3 import RemoteObject as S3RemoteObject, RemoteProvider as S3RemoteProvider from snakemake.remote.S3 import S3Helper from snakemake.decorators import dec_all_methods from snakemake.exceptions import WorkflowError try: # third-party import boto from moto import mock_s3 import filechunkio except ImportError as e: raise WorkflowError("The Python 3 packages 'moto', boto' and 'filechunkio' " + "need to be installed to use S3Mocked remote() file functionality. %s" % e.msg) def noop(): pass def pickled_moto_wrapper(func): """ This is a class decorator that in turn decorates all methods within a class to mock out boto calls with moto-simulated ones. Since the moto backends are not presistent across calls by default, the wrapper also pickles the bucket state after each function call, and restores it before execution. This way uploaded files are available for follow-on tasks. Since snakemake may execute with multiple threads it also waits for the pickled bucket state file to be available before loading it in. This is a hackey alternative to using proper locks, but works ok in practice. """ def wrapper_func(self, *args, **kwargs): moto_context_file = "motoState.p" moto_context = mock_s3() moto_context.start() moto_context.backends["global"].reset = noop # load moto buckets from pickle if os.path.isfile(moto_context_file) and os.path.getsize(moto_context_file) > 0: with file_lock(moto_context_file): with open( moto_context_file, "rb" ) as f: moto_context.backends["global"].buckets = pickle.load( f ) mocked_function = moto_context(func) retval = mocked_function(self, *args, **kwargs) with file_lock(moto_context_file): with open( moto_context_file, "wb" ) as f: pickle.dump(moto_context.backends["global"].buckets, f) moto_context.stop() return retval functools.update_wrapper(wrapper_func, func) wrapper_func.__wrapped__ = func return wrapper_func @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteProvider(S3RemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteObject(S3RemoteObject): """ This is a derivative of the S3 remote provider that mocks out boto-based S3 calls using the "moto" Python package. Only the initializer is different; it "uploads" the input test file to the moto-simulated bucket at the start. """ def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__(*args, keep_local=keep_local, provider=provider, **kwargs) bucket_name = 'test-remote-bucket' test_file = "test.txt" conn = boto.connect_s3() if bucket_name not in [b.name for b in conn.get_all_buckets()]: conn.create_bucket(bucket_name) # "Upload" files that should be in S3 before tests... s3c = S3Helper() if not s3c.exists_in_bucket(bucket_name, test_file): s3c.upload_to_s3(bucket_name, test_file) # ====== Helpers ===== def touch(fname, mode=0o666, dir_fd=None, **kwargs): # create lock file faster # https://stackoverflow.com/a/1160227 flags = os.O_CREAT | os.O_APPEND with os.fdopen(os.open(fname, flags=flags, mode=mode, dir_fd=dir_fd)) as f: os.utime(f.fileno() if os.utime in os.supports_fd else fname, dir_fd=None if os.supports_fd else dir_fd, **kwargs) @contextmanager def file_lock(filepath): lock_file = filepath + ".lock" while os.path.isfile(lock_file): time.sleep(2) touch(lock_file) try: yield finally: if os.path.isfile(lock_file): os.remove(lock_file) snakemake-snakemake-4c7c76effe4d/tests/test_remote/Snakefile000066400000000000000000000062251265064562200243000ustar00rootroot00000000000000#import re, os, sys from S3Mocked import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() # remote dynamic file test # This makes use of a special provider that mocks up S3 using the moto # library so that boto calls hit local "buckets" rule all: input: # only keeping the file so we can copy it out to the cwd S3.remote("test-remote-bucket/out.txt", keep_local=True) run: shell("mv test-remote-bucket/out.txt ./") rule split: input: S3.remote('test-remote-bucket/test.txt') output: S3.remote(dynamic('test-remote-bucket/prefix{split_id}.txt')) run: shell('split -l 2 {input} test-remote-bucket/prefix') for f in os.listdir(os.getcwd()+"/test-remote-bucket"): if re.search('prefix[a-z][a-z]', f): os.rename("test-remote-bucket/"+f, "test-remote-bucket/"+f + '.txt') rule cut: input: S3.remote('test-remote-bucket/prefix{split_id,[a-z][a-z]}.txt') output: S3.remote('test-remote-bucket/{split_id}_cut.txt') shell: 'cut -f 1,2 {input} > {output}' rule merge: input: S3.remote(dynamic('test-remote-bucket/{split_id}_cut.txt')) output: S3.remote('test-remote-bucket/out.txt'), run: shell('echo {input}; cat {input} > {output}') # after we finish, we need to remove the pickle storing # the local moto "buckets" so we are starting fresh # next time this test is run. This file is created by # the moto wrapper defined in S3Mocked.py onsuccess: shell("rm ./motoState.p") onerror: shell("rm ./motoState.p") # or if you prefer to not instantiate a RemoteProvider object, and rely on the module # import S3Mocked as S3Mocked # # remote dynamic file test # # This makes use of a special provider that mocks up S3 using the moto # # library so that boto calls hit local "buckets" # rule all: # input: # # only keeping the file so we can copy it out to the cwd # remote("test-remote-bucket/out.txt", keep_local=True, provider=S3Mocked, additional_kwargs={}) # run: # shell("mv test-remote-bucket/out.txt ./") # rule split: # input: remote('test-remote-bucket/test.txt', keep_local=False, provider=S3Mocked, additional_kwargs={}) # output: remote(dynamic('test-remote-bucket/prefix{split_id}.txt'), provider=S3Mocked, additional_kwargs={}) # run: # shell('split -l 2 {input} test-remote-bucket/prefix') # for f in os.listdir(os.getcwd()+"/test-remote-bucket"): # if re.search('prefix[a-z][a-z]', f): # os.rename("test-remote-bucket/"+f, "test-remote-bucket/"+f + '.txt') # rule cut: # input: remote('test-remote-bucket/prefix{split_id,[a-z][a-z]}.txt', provider=S3Mocked, additional_kwargs={}) # output: # remote('test-remote-bucket/{split_id}_cut.txt', provider=S3Mocked, additional_kwargs={}) # shell: 'cut -f 1,2 {input} > {output}' # rule merge: # input: # remote(dynamic('test-remote-bucket/{split_id}_cut.txt'), provider=S3Mocked, additional_kwargs={}) # output: # remote('test-remote-bucket/out.txt', provider=S3Mocked, additional_kwargs={}), # run: # shell('echo {input}; cat {input} > {output}') snakemake-snakemake-4c7c76effe4d/tests/test_remote/__init__.py000066400000000000000000000000001265064562200245460ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_remote/expected-results/000077500000000000000000000000001265064562200257475ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_remote/expected-results/out.txt000066400000000000000000000001101265064562200273070ustar00rootroot000000000000000 1 2 0 1 2 0 1 2 0 1 2 snakemake-snakemake-4c7c76effe4d/tests/test_remote/test.txt000066400000000000000000000001101265064562200241570ustar00rootroot000000000000000 1 2 0 1 2 0 1 2 0 1 2 snakemake-snakemake-4c7c76effe4d/tests/test_report/000077500000000000000000000000001265064562200224675ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_report/Snakefile000066400000000000000000000011111265064562200243050ustar00rootroot00000000000000 from snakemake.utils import report rule report: input: F1=["fig.png", "fig2.png"] output: "report.html" run: report(""" ====================== Report of some project ====================== Here is an embedded image: .. embeddedimage:: {input.F1[0]} :width: 200px Here is an example embedded figure: .. embeddedfigure:: {input.F1[1]} Figure title goes here Descriptive figure legend goes here Embedded data F1_. """, output[0], **input) snakemake-snakemake-4c7c76effe4d/tests/test_report/expected-results/000077500000000000000000000000001265064562200257675ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_report/expected-results/report.html000066400000000000000000000120551265064562200301730ustar00rootroot00000000000000 Report of some project

Report of some project

Here is an embedded image:

fig.png

Here is an example embedded figure:

fig.png

Figure title goes here

Descriptive figure legend goes here

Embedded data F1 and F2.

[F1] Snakefile
[F2] Snakefile
None | 2014-08-12
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8P+%j͚5ҟvرcKMMM'KUUU|ȵyW|:˹Jׯ/W^y3ϔJRiݺuҥKOJ޵[ڏk͛K{ni'w/Vv,*M0tykrf\ҴiJϷo=-XebŊoȵs9'>OF{{{<'wĈq 76lذ5kV?CkeH}9JR۷/:TQOg}v ><"{w/vXԩS cǎw]q[ɻ֗s;vXcԨQqYgykrvX%ڏ~xcѢEGs雱o=#@'?I\tE1hРn/䒈;qģ_r%شiө4җs;/!C믏z,k]{+""&n]ݹU-Y$v?{t}Rf/s9{9p@=fΜ3g<뮻.ʸ⮻}k~3\%Z_ص7lܸ1nhjj'|][ڭf͊]vŲeoZέw瞋 … Gڷ e6`xW~#3ݩŔ)SNWJ޵Svmqy+VxJ۵7܎vmܸq1nܸ={v\y15kqwƮ܎RvoaÆżyz|})#GBQ___{tG?|g*yʡRv^:^|1běczwnS)> /O>qc׎v2v<}6o7b޼ysضm[l۶-8jl߾_}Rf~cӦMo߾n׬Y&L8&L3Ϛ5kbqEO}9uuudw*a8ӧOz*1w}k=㩄];og>c*}׎dx=-oۏZvmlڴ)ƌwyqo=#@lƌqС#x'|{xoq8x`{yw{ڳ><@L>ޙ/u?韢#kc~СCk֬x Lrٵrnk˂ 7IDAT_{ȇz;;;ӗs]?~|\2rhllѣG'?T*sҚcʕq뭷FCCC,]4֭[o^ziDSضm[OռKsܑsx /,*ޞۅ^'NI&Ő!C#ox,^8v%K 7pբ[n%l׎V6{c>zٳ#¿~U_έRwp۷/.첨ݻwDzebӦM"®[L6-{#)+ρJJ#G,{)S~t{Μ9sJե۷wϗ4lذK_~ytޞ^z]:th.]pngϞ/!\P*UUUKG3kGUM6#ϳk*uۿۥ#F:Rmmmk)ZZw}9Jݵ6mZiݮٷ g@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4H#@4ܬSSIENDB`snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/000077500000000000000000000000001265064562200225775ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/1.a000066400000000000000000000000001265064562200230670ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/2.a000066400000000000000000000000001265064562200230700ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/3.a000066400000000000000000000000001265064562200230710ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/4.a000066400000000000000000000000001265064562200230720ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/5.a000066400000000000000000000000001265064562200230730ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledag/Snakefile000066400000000000000000000006051265064562200244240ustar00rootroot00000000000000 rule all: input: expand("{id}.d", id="1 2 3 4 5".split()) rule rule1: input: "{id}.c" output: "{id}.d" shell: "touch {output}" rule rule2: input: lambda wildcards: (expand("{id}.b", id="1 2 3".split()) if wildcards.id == "1" else expand("{id}.b", id=wildcards.id)) output: "{id}.c" shell: "touch {output}" rule rule3: input: "{id}.a" output: "{id}.b" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_ruledeps/000077500000000000000000000000001265064562200227775ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledeps/Snakefile000066400000000000000000000005461265064562200246300ustar00rootroot00000000000000 rule all: input: "test.out" rule a: output: "test.in" shell: "touch {output}" rule b: input: rules.a.output output: "test.inter" shell: "touch {output}" rule c: input: rules.a.output output: "test.inter" shell: "exit 1" rule d: input: rules.b.output output: "test.out" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_ruledeps/expected-results/000077500000000000000000000000001265064562200262775ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_ruledeps/expected-results/test.out000066400000000000000000000000001265064562200277750ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_same_wildcard/000077500000000000000000000000001265064562200237525ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_same_wildcard/Snakefile000066400000000000000000000002121265064562200255710ustar00rootroot00000000000000 rule: input: "test_test.out" rule: input: "{name}_{name}.in" output: "{name}_{name}.out" shell: "echo {wildcards.name} > {output}" snakemake-snakemake-4c7c76effe4d/tests/test_same_wildcard/expected-results/000077500000000000000000000000001265064562200272525ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_same_wildcard/expected-results/test_test.out000066400000000000000000000000051265064562200320140ustar00rootroot00000000000000test snakemake-snakemake-4c7c76effe4d/tests/test_same_wildcard/test_test.in000066400000000000000000000000051265064562200263130ustar00rootroot00000000000000test snakemake-snakemake-4c7c76effe4d/tests/test_script/000077500000000000000000000000001265064562200224605ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_script/Snakefile000066400000000000000000000002671265064562200243110ustar00rootroot00000000000000 rule: input: "test.in" output: txt="test.out" script: "scripts/test.R" rule: output: "test.in" script: "scripts/test.py" snakemake-snakemake-4c7c76effe4d/tests/test_script/expected-results/000077500000000000000000000000001265064562200257605ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_script/expected-results/test.in000066400000000000000000000000061265064562200272630ustar00rootroot000000000000001 2 3 snakemake-snakemake-4c7c76effe4d/tests/test_script/expected-results/test.out000066400000000000000000000000061265064562200274640ustar00rootroot000000000000001 2 3 snakemake-snakemake-4c7c76effe4d/tests/test_script/scripts/000077500000000000000000000000001265064562200241475ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_script/scripts/test.R000066400000000000000000000003171265064562200252520ustar00rootroot00000000000000print(snakemake@wildcards) print(snakemake@threads) print(snakemake@log) print(snakemake@config) print(snakemake@params) values <- scan(snakemake@input[[1]]) write(values, file = snakemake@output[["txt"]]) snakemake-snakemake-4c7c76effe4d/tests/test_script/scripts/test.py000066400000000000000000000001111265064562200254710ustar00rootroot00000000000000with open(snakemake.output[0], "w") as out: print(1, 2, 3, file=out) snakemake-snakemake-4c7c76effe4d/tests/test_shadow/000077500000000000000000000000001265064562200224415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_shadow/Snakefile000066400000000000000000000010621265064562200242640ustar00rootroot00000000000000rule all: input: ["simple_shallow.out", "simple_full.out"] rule shallow: input: "test.in" output: "simple_shallow.out" shadow: "shallow" shell: """ echo 1 > junk.out cat {input} >> {output} echo simple_shallow >> {output} test ! -f more_junk.out """ rule full: input: "test.in" output: "simple_full.out" shadow: "full" shell: """ echo 1 > more_junk.out cat {input} > {output} echo simple_full >> {output} test ! -f junk.out """ snakemake-snakemake-4c7c76effe4d/tests/test_shadow/expected-results/000077500000000000000000000000001265064562200257415ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_shadow/expected-results/simple_full.out000066400000000000000000000000171265064562200310030ustar00rootroot00000000000000in simple_full snakemake-snakemake-4c7c76effe4d/tests/test_shadow/expected-results/simple_shallow.out000066400000000000000000000000221265064562200315060ustar00rootroot00000000000000in simple_shallow snakemake-snakemake-4c7c76effe4d/tests/test_shadow/test.in000066400000000000000000000000031265064562200237410ustar00rootroot00000000000000in snakemake-snakemake-4c7c76effe4d/tests/test_shell/000077500000000000000000000000001265064562200222635ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_shell/Snakefile000066400000000000000000000003321265064562200241050ustar00rootroot00000000000000 rule: input: "test.in" output: "test.out" run: test = shell("echo 42;", read=True) assert int(test) == 42 with open(output[0], "w") as f: for l in shell("cat {input}", iterable=True): print(l, file=f) snakemake-snakemake-4c7c76effe4d/tests/test_shell/expected-results/000077500000000000000000000000001265064562200255635ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_shell/expected-results/test.out000066400000000000000000000000101265064562200272620ustar00rootroot00000000000000foo bar snakemake-snakemake-4c7c76effe4d/tests/test_shell/test.in000066400000000000000000000000101265064562200235610ustar00rootroot00000000000000foo bar snakemake-snakemake-4c7c76effe4d/tests/test_srcdir/000077500000000000000000000000001265064562200224425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_srcdir/Snakefile000066400000000000000000000001711265064562200242650ustar00rootroot00000000000000rule: output: "test.out" params: srcdir("script.sh") shell: "sh {params} > {output}" snakemake-snakemake-4c7c76effe4d/tests/test_srcdir/expected-results/000077500000000000000000000000001265064562200257425ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_srcdir/expected-results/test.out000066400000000000000000000000051265064562200274450ustar00rootroot00000000000000test snakemake-snakemake-4c7c76effe4d/tests/test_srcdir/script.sh000066400000000000000000000000241265064562200242760ustar00rootroot00000000000000#!/bin/sh echo test snakemake-snakemake-4c7c76effe4d/tests/test_subworkflows/000077500000000000000000000000001265064562200237235ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_subworkflows/Snakefile000066400000000000000000000003001265064562200255400ustar00rootroot00000000000000import os.path subworkflow test02: workdir: config["subworkdir"] rule: input: "test.out" rule: input: test02("test.out") output: "test.out" shell: "cp {input} {output}" snakemake-snakemake-4c7c76effe4d/tests/test_subworkflows/expected-results/000077500000000000000000000000001265064562200272235ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_subworkflows/expected-results/test.out000066400000000000000000000000101265064562200307220ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/000077500000000000000000000000001265064562200236675ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/Snakefile000066400000000000000000000011721265064562200255140ustar00rootroot00000000000000rule all: input: 'a.out', 'b.out' rule one: #the first rule in the work-flow input: '{sample}' output: temp('1.{sample}') shell: 'touch {output}' rule two: #this rule simply creates symbol link, following rule one input: '1.{sample}' output: temp('2.{sample}') shell: 'ln -s {input} {output}' rule three: #this rule simply creates symbol link, following rule two input: '2.{sample}' output: temp('3.{sample}') shell: 'ln -s {input} {output}' rule four: #this rule creates the final output, following rule three input: '3.{sample}' output: '{sample}.out' shell: 'touch {output}' snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/a000066400000000000000000000000001265064562200240200ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/b000066400000000000000000000000001265064562200240210ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/expected-results/000077500000000000000000000000001265064562200271675ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_symlink_temp/expected-results/.gitignore000066400000000000000000000000001265064562200311450ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp/000077500000000000000000000000001265064562200221215ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp/Snakefile000066400000000000000000000011141265064562200237420ustar00rootroot00000000000000rule indelrealigner: input: bam="{base}.bam",intervals="{base}.intervals",bai='{base}.bam.bai' output: bam=temp("{base}.realigned.bam") params: batch="-q ccr -l nodes=1:gpfs" threads: 1 shell: "touch {output}" rule realignertargetcreator: input: "{base}.bam", "{base}.bam.bai" output: temp("{base}.intervals") params: batch="-q ccr -l nodes=1:gpfs" threads: 32 shell: "touch {output}" rule indexbam: threads: 1 input: '{base}.bam' output: temp('{base}.bam.bai') params: batch="-q ccr -l nodes=1:gpfs" shell: 'touch {output}' snakemake-snakemake-4c7c76effe4d/tests/test_temp/expected-results/000077500000000000000000000000001265064562200254215ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp/expected-results/test.realigned.bam000066400000000000000000000000001265064562200310000ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp/qsub000077500000000000000000000001751265064562200230240ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM $1 snakemake-snakemake-4c7c76effe4d/tests/test_temp/test.bam000066400000000000000000000000001265064562200235470ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp_expand/000077500000000000000000000000001265064562200234605ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp_expand/Snakefile000066400000000000000000000003231265064562200253020ustar00rootroot00000000000000 rule: input: "a.txt" output: "test.txt" shell: "touch {output}" rule: output: temp(expand("{ds}.txt", ds="a b c".split())) shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_temp_expand/expected-results/000077500000000000000000000000001265064562200267605ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_temp_expand/expected-results/test.txt000066400000000000000000000000001265064562200304660ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_touch/000077500000000000000000000000001265064562200222765ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_touch/Snakefile000066400000000000000000000001101265064562200241120ustar00rootroot00000000000000rule: output: touch("test.out") shell: "exit 0" snakemake-snakemake-4c7c76effe4d/tests/test_touch/expected-results/000077500000000000000000000000001265064562200255765ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_touch/expected-results/test.out000066400000000000000000000000001265064562200272740ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/000077500000000000000000000000001265064562200223075ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/Snakefile000066400000000000000000000023201265064562200241300ustar00rootroot00000000000000 rule all: input: "levelthree.txt", "independent.txt", expand("test{num}.final", num=[1, 2]) rule levelone: output: "levelone.txt" shell: "touch {output}" rule leveltwo_first: input: rules.levelone.output output: "leveltwo_first.txt" shell: "cp -f {input} {output}" rule leveltwo_second: input: rules.levelone.output output: "leveltwo_second.txt" shell: "cp -f {input} {output}" rule levelthree: # should not be created input: rules.leveltwo_first.output, rules.leveltwo_second.output output: "levelthree.txt" shell: "cat {input} > {output}" rule independent: # should be created in --omit-from but not --until output: "independent.txt" shell: "touch {output}" ###### Wildcard Rules ####### rule zeroth_wildcard: output: "test{num}.txt" shell: "touch {output}" rule first_wildcard: input: 'test{num}.txt' output: 'test{num}.first' shell: 'cp -f {input} {output}' rule second_wildcard: input: 'test{num}.first' output: 'test{num}.second' shell: 'cp -f {input} {output}' rule final_wildcard: input: 'test{num}.second' output: 'test{num}.final' shell: 'cp -f {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/000077500000000000000000000000001265064562200256075ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/levelone.txt000066400000000000000000000000001265064562200301470ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/leveltwo_first.txt000066400000000000000000000000001265064562200314060ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/leveltwo_second.txt000066400000000000000000000000001265064562200315320ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/test1.second000066400000000000000000000000001265064562200300320ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_until/expected-results/test2.second000066400000000000000000000000001265064562200300330ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_update_config/000077500000000000000000000000001265064562200237635ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_update_config/Snakefile000066400000000000000000000004211265064562200256040ustar00rootroot00000000000000import yaml include: "echo.rule" include: "cp.rule" configfile: "test.yaml" rule all: input: "test.out.copy" output: yaml = "config.yaml" run: with open(str(output.yaml), "w") as fh: fh.write(yaml.dump(config, default_flow_style=False)) snakemake-snakemake-4c7c76effe4d/tests/test_update_config/cp.rule000066400000000000000000000005041265064562200252550ustar00rootroot00000000000000# -*- snakemake -*- from snakemake.utils import update_config c = { 'cp': { 'options': '-f', }, } update_config(config, c) rule cp: params: options = config['cp']['options'] input: '{prefix}.out' output: temporary('{prefix}.out.copy') shell: 'cp {params.options} {input} {output}' snakemake-snakemake-4c7c76effe4d/tests/test_update_config/echo.rule000066400000000000000000000002761265064562200255770ustar00rootroot00000000000000# -*- snakemake -*- configfile: 'echo.yaml' rule echo: params: options = config['echo']['options'] output: temporary('{prefix}.out') shell: 'echo "{params.options}" > {output}' snakemake-snakemake-4c7c76effe4d/tests/test_update_config/echo.yaml000066400000000000000000000000241265064562200255610ustar00rootroot00000000000000echo: options: '' snakemake-snakemake-4c7c76effe4d/tests/test_update_config/expected-results/000077500000000000000000000000001265064562200272635ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_update_config/expected-results/config.yaml000066400000000000000000000000501265064562200314070ustar00rootroot00000000000000cp: options: -u echo: options: echo snakemake-snakemake-4c7c76effe4d/tests/test_update_config/test.yaml000066400000000000000000000000501265064562200256210ustar00rootroot00000000000000cp: options: -u echo: options: echo snakemake-snakemake-4c7c76effe4d/tests/test_url_include/000077500000000000000000000000001265064562200234615ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_url_include/Snakefile000066400000000000000000000001731265064562200253060ustar00rootroot00000000000000 include: "https://bitbucket.org/snakemake/snakemake/raw/master/tests/test05/Snakefile" rule: input: "test.predictions" snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/000077500000000000000000000000001265064562200267615ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.1.inter000066400000000000000000000000321265064562200311350ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.1.inter2000066400000000000000000000000321265064562200312170ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.2.inter000066400000000000000000000000321265064562200311360ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.2.inter2000066400000000000000000000000321265064562200312200ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.3.inter000066400000000000000000000000321265064562200311370ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.3.inter2000066400000000000000000000000321265064562200312210ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/expected-results/test.predictions000066400000000000000000000001161265064562200322030ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter snakemake-snakemake-4c7c76effe4d/tests/test_url_include/test.in000066400000000000000000000000101265064562200247570ustar00rootroot00000000000000testz0r snakemake-snakemake-4c7c76effe4d/tests/test_wildcard_count_ambiguity/000077500000000000000000000000001265064562200262275ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_wildcard_count_ambiguity/Snakefile000066400000000000000000000002401265064562200300470ustar00rootroot00000000000000 rule all: input: "test.out" rule a: output: "{prefix}.out" shell: "touch {output}" rule b: output: "test.out" shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_wildcard_count_ambiguity/expected-results/000077500000000000000000000000001265064562200315275ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_wildcard_count_ambiguity/expected-results/test.out000066400000000000000000000000001265064562200332250ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_yaml_config/000077500000000000000000000000001265064562200234435ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_yaml_config/Snakefile000066400000000000000000000001531265064562200252660ustar00rootroot00000000000000 configfile: "test.yaml" rule: output: config["outfile"] shell: "touch {output}" snakemake-snakemake-4c7c76effe4d/tests/test_yaml_config/expected-results/000077500000000000000000000000001265064562200267435ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_yaml_config/expected-results/test.out000066400000000000000000000000001265064562200304410ustar00rootroot00000000000000snakemake-snakemake-4c7c76effe4d/tests/test_yaml_config/test.yaml000066400000000000000000000000251265064562200253030ustar00rootroot00000000000000--- outfile: test.outsnakemake-snakemake-4c7c76effe4d/tests/tests.py000066400000000000000000000163151265064562200216370ustar00rootroot00000000000000__authors__ = ["Tobias Marschall", "Marcel Martin", "Johannes Köster"] __copyright__ = "Copyright 2015, Johannes Köster" __email__ = "koester@jimmy.harvard.edu" __license__ = "MIT" import sys import os from os.path import join from subprocess import call from tempfile import mkdtemp import hashlib import urllib from shutil import rmtree from snakemake import snakemake def dpath(path): """get path to a data file (relative to the directory this test lives in)""" return os.path.realpath(join(os.path.dirname(__file__), path)) SCRIPTPATH = dpath("../bin/snakemake") def md5sum(filename): data = open(filename, 'rb').read() return hashlib.md5(data).hexdigest() def is_connected(): try: urllib.request.urlopen("http://www.google.com", timeout=1) return True except urllib.request.URLError: return False def run(path, shouldfail=False, needs_connection=False, snakefile="Snakefile", subpath=None, check_md5=True, cores=3, **params): """ Test the Snakefile in path. There must be a Snakefile in the path and a subdirectory named expected-results. """ if needs_connection and not is_connected(): print("Skipping test because of missing internet connection", file=sys.stderr) return False results_dir = join(path, 'expected-results') snakefile = join(path, snakefile) assert os.path.exists(snakefile) assert os.path.exists(results_dir) and os.path.isdir( results_dir), '{} does not exist'.format(results_dir) tmpdir = mkdtemp() try: config = {} if subpath is not None: # set up a working directory for the subworkflow and pass it in `config` # for now, only one subworkflow is supported assert os.path.exists(subpath) and os.path.isdir( subpath), '{} does not exist'.format(subpath) subworkdir = os.path.join(tmpdir, "subworkdir") os.mkdir(subworkdir) call('cp `find {} -maxdepth 1 -type f` {}'.format(subpath, subworkdir), shell=True) config['subworkdir'] = subworkdir call('cp `find {} -maxdepth 1 -type f` {}'.format(path, tmpdir), shell=True) success = snakemake(snakefile, cores=cores, workdir=tmpdir, stats="stats.txt", snakemakepath=SCRIPTPATH, config=config, **params) if shouldfail: assert not success, "expected error on execution" else: assert success, "expected successful execution" for resultfile in os.listdir(results_dir): if resultfile == ".gitignore" or not os.path.isfile( os.path.join(results_dir, resultfile)): # this means tests cannot use directories as output files continue targetfile = join(tmpdir, resultfile) expectedfile = join(results_dir, resultfile) assert os.path.exists( targetfile), 'expected file "{}" not produced'.format( resultfile) if check_md5: assert md5sum(targetfile) == md5sum( expectedfile), 'wrong result produced for file "{}"'.format( resultfile) finally: rmtree(tmpdir) def test01(): run(dpath("test01")) def test02(): run(dpath("test02")) def test03(): run(dpath("test03"), targets=['test.out']) def test04(): run(dpath("test04"), targets=['test.out']) def test05(): run(dpath("test05")) def test06(): run(dpath("test06"), targets=['test.bla.out']) def test07(): run(dpath("test07"), targets=['test.out', 'test2.out']) def test08(): run(dpath("test08"), targets=['test.out', 'test2.out']) def test09(): run(dpath("test09"), shouldfail=True) def test10(): run(dpath("test10")) def test11(): run(dpath("test11")) def test12(): run(dpath("test12")) def test13(): run(dpath("test13")) def test14(): run(dpath("test14"), snakefile="Snakefile.nonstandard", cluster="./qsub") def test15(): run(dpath("test15")) def test_report(): run(dpath("test_report"), check_md5=False) def test_dynamic(): run(dpath("test_dynamic")) def test_params(): run(dpath("test_params")) def test_same_wildcard(): run(dpath("test_same_wildcard")) def test_conditional(): run(dpath("test_conditional"), targets="test.out test.0.out test.1.out test.2.out".split()) def test_shell(): run(dpath("test_shell")) def test_temp(): run(dpath("test_temp"), cluster="./qsub", targets="test.realigned.bam".split()) def test_keyword_list(): run(dpath("test_keyword_list")) def test_subworkflows(): run(dpath("test_subworkflows"), subpath=dpath("test02")) def test_globwildcards(): run(dpath("test_globwildcards")) def test_local_import(): run(dpath("test_local_import")) def test_ruledeps(): run(dpath("test_ruledeps")) def test_persistent_dict(): run(dpath("test_persistent_dict")) def test_url_include(): run(dpath("test_url_include"), needs_connection=True) def test_touch(): run(dpath("test_touch")) def test_config(): run(dpath("test_config")) def test_update_config(): run(dpath("test_update_config")) def test_benchmark(): run(dpath("test_benchmark"), check_md5=False) def test_temp_expand(): run(dpath("test_temp_expand")) def test_wildcard_count_ambiguity(): run(dpath("test_wildcard_count_ambiguity")) def test_cluster_dynamic(): run(dpath("test_cluster_dynamic"), cluster="./qsub") def test_dynamic_complex(): run(dpath("test_dynamic_complex")) def test_srcdir(): run(dpath("test_srcdir")) def test_multiple_includes(): run(dpath("test_multiple_includes")) def test_yaml_config(): run(dpath("test_yaml_config")) def test_remote(): try: import moto import boto import filechunkio # only run the remote file test if the dependencies # are installed, otherwise do nothing run(dpath("test_remote"), cores=1) except ImportError: pass def test_cluster_sync(): run(dpath("test14"), snakefile="Snakefile.nonstandard", cluster_sync="./qsub") def test_symlink_temp(): run(dpath("test_symlink_temp"), shouldfail=True) def test_empty_include(): run(dpath("test_empty_include")) def test_script(): run(dpath("test_script")) def test_shadow(): run(dpath("test_shadow")) def test_until(): run(dpath("test_until"), until=["leveltwo_first", # rule name "leveltwo_second.txt", # file name "second_wildcard"]) # wildcard rule def test_omitfrom(): run(dpath("test_omitfrom"), omit_from=["leveltwo_first", # rule name "leveltwo_second.txt", # file name "second_wildcard"]) # wildcard rule def test_nonstr_params(): run(dpath("test_nonstr_params")) if __name__ == '__main__': import nose nose.run(defaultTest=__name__)