path: root/meta-python/recipes-devtools/python/python-snakefood_1.4.bb
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authorTim Orling <ticotimo@gmail.com>2014-08-23 17:57:05 -0700
committerMartin Jansa <Martin.Jansa@gmail.com>2014-08-27 12:49:19 +0200
commit1a199dca255cab3cf8ad23a0508c4175353ea441 (patch)
tree245a24fdea5d9891aca3d7d8acfc449323baac0d /meta-python/recipes-devtools/python/python-snakefood_1.4.bb
parent40ecf311feaf766b8219a7b6889daf9e0309f4a5 (diff)
python-snakefood: add 1.4
* Generate dependencies from Python code, filter, cluster and generate graphs from the dependency list * Tools included: - sfood: Given a set of input files or root directories, generate a list of dependencies between the files; - sfood-graph: Read a list of dependencies and produce a Graphviz dot file. (This file can be run through the Graphviz dot tool to produce a viewable/printable PDF file); - sfood-cluster: Read a list of dependencies, a list of file clusters, and output a list of simplified (clustered) dependencies. - sfood-checker: Analyze the source code with the AST and list unused or redundant imports. - sfood-imports: Find and list import statements in Python files, regardless of whether they can be imported or not. Signed-off-by: Tim Orling <TicoTimo@gmail.com> Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
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+SUMMARY = "Dependency graphing for Python"
+DESCRIPTION = " Generate dependency graphs from Python code. This \
+dependency tracker package has a few distinguishing characteristics \
+ * It uses the AST to parse the Python files. This is very reliable, \
+ it always runs.\
+ * No module is loaded. Loading modules to figure out dependencies is \
+ almost always problem, because a lot of codebases run initialization \
+ code in the global namespace, which often requires additional setup. \
+ Snakefood is guaranteed not to have this problem (it just runs, no \
+ matter what).\
+ * It works on a set of files, i.e. you do not have to specify a single \
+ script, you can select a directory (package or else) or a set of files.\
+ It finds all the Python files recursively automatically.\
+ * Automatic/no configuration: your PYTHONPATH is automatically adjusted \
+ to include the required package roots. It figures out the paths that \
+ are required from the files/directories given as input. You should not \
+ have to setup ANYTHING.\
+ * It does not have to automatically 'follow' dependencies between modules,\
+ i.e. by default it only considers the files and directories you specify \
+ on the command-line and their immediate dependencies. It also has an \
+ option to automatically include only the dependencies within the \
+ packages of the files you specify.\
+ * It follows the UNIX philosophy of small programs that do one thing well:\
+ it consists of a few simple programs whose outputs you combine via \
+ pipes. Graphing dependencies always requires the user to filter and \
+ cluster the filenames, so this is appropriate. You can combine it with \
+ your favourite tools, grep, sed, etc.\
+A problem with dependency trackers that run code is that they are unreliable, \
+due to the dynamic nature of Python (the presence of imports within function \
+calls and __import__ hooks makes it almost impossible to always do the right \
+thing). This script aims at being right 99% of the time, and we think that \
+given the trade-offs, 99% is good enough for 99% of the uses.\
+AUTHOR = "Martin Blais <blais@furius.ca>"
+HOMEPAGE = "http://furius.ca/snakefood"
+SECTION = "devel/python"
+LICENSE = "GPL-2.0"
+LIC_FILES_CHKSUM = "file://COPYING;md5=94d55d512a9ba36caa9b7df079bae19f"
+SRCNAME = "snakefood"
+SRC_URI = "https://pypi.python.org/packages/source/s/${SRCNAME}/${SRCNAME}-${PV}.tar.gz"
+SRC_URI[md5sum] = "56c88667a33d8909b0aabf2ab6903bdf"
+SRC_URI[sha256sum] = "295784668032254e7391ca99ba7060edd3ae4eca1a330ac11627b18ab5923b77"
+S = "${WORKDIR}/${SRCNAME}-${PV}"
+inherit setuptools
+RDEPENDS_${PN} = " python-logging python-compiler python-shell"
+# the above modules do not have a -native counterpart
+RDEPENDS_${PN}_class-native = ""