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Process and parse through git log statistic

Project description

A git log processor for better stats.

Setup

Install the library with:

# From pypi
python3 -m pip install git_processor

To use it, run the generate_git_logs.sh in where you have all your repository. It will create a stats.txt file.

import os
from git_processor.data import Projects

p = Projects(os.path.abspath("stats.txt"))  # Process the git log stats
p.clean_up_names()                          # Get all similar names as one
p.df                                        # Get the created dataframe
p.total()                                   # Total commits per user

Let’s use jupyter to display the information.

pyhton3 -m pip install jupyter
cd jupyter/
jupyter notebook

Once you are in the jupyter notebook, you can display the data and plot the stats. Check in the jupyter/ folder, you can reuse the demo and get your stats in one go. Just click on Run All Cell, or go along with <kbd>shift</kbd> + <kbd>enter</kbd> to run them individually.

Testing

To find out more info about the testing configuration, check out the tox.ini file.

# Run the test suite
tox
# Run the linter:
tox -e lint

Local Installation

Using a virtual environment:

# From pypi
python3 -m pip install virtualenv

Then set it up and install the package locally

# Create the virtual environment
python3 -m venv `pwd`/env
# Activate it
source env/bin/activate
# Install from local
(env) python3 -m pip install .

Project details


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