SCM mining utility classes
Project description
codemetrics
Mine your SCM for insight on your software. A work of love inspired by Adam Tornhill’s books.
Code metrics is a simple Python module that leverage pandas and your source control management (SCM) tool togenerate insight on your code base.
pandas: for data munching.
lizard: for code complexity calculation.
cloc.pl (script): for line counts from cloc
For now, only Subversion and git are supported.
Installation
To install codemetrics, simply use pip:
pip install codemetrics
Usage
This is a simple tool that makes it easy to retrieve information from your Source Control Management (SCM) repository and hopefully gain insight from it.
import codemetrics as cm import cm.git log_df = cm.get_git_log() ages_df = cm.get_ages(log_df)
To retrieve the number of lines changed by revision with Subversion:
import codemetrics as cm import cm.git log_df = cm.get_svn_log().set_index(['revision', 'path']) log_df.loc[:, ['added', 'removed']] = log_df.reset_index().\ groupby('revision').\ apply(cm.svn.get_diff_stats, chunks=False)
See module documentation for more advanced functions or the example notebook
License
Licensed under the term of MIT License. See attached file LICENSE.txt.
Credits
This package was inspired by Adam Tornhill’s books.
This package was created with Cookiecutter.
History
0.9.4 (2019-09-02)
Fixed test_core following https://github.com/pandas-dev/pandas/pull/24748 (Pandas 0.25.X)
Added script cm_func_stats that generates statistics on the function passed as argument.
Added appveyor support for Windows.
Documentation.
0.9.3 (2019-04-01)
Fixed retrieval of added and removed lines when there are spaces in a file name.
Fixed indexed input in get_mass_changes.
Fixed handling of removed files in svn.get_diff_stats.
Fixed handling of branches in svn.get_diff_stats.
0.9 (2019-03-19)
Started changing interfaces to leverage apply and groupby.
Added lines added/removed for Subversion.
0.8.2 (2019-02-26)
Added svn.get_diff_stats to retrieve line changes stats per diff.
0.8 (2019-02-13)
Integrated lizard to calculate average and function level cyclomatic complexity.
0.7 (2019-01-09)
Function oriented interface.
Visualization via Vega, Altair.
Documentation.
0.6
Alpha work.
0.5 (2018-05-12)
First release on PyPI.
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