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Tool to analyze contributions when working in a team.

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Cogitate Logo Build Status codecov made-with-python

About GatorCogitate

Cogitate is a free and open source tool written in Python. It is designed to evaluate the level of contributions for members of a GitHub repository. GatorCogitate generates a score for members based on a variety of metrics including:

  • Lines added
  • Lines removed
  • Lines Deleted
  • Pull Requests
  • Issue Tracker
  • Teamwork Performance

These metrics are combined into an overall score for the user.

Note: This tool is alpha software. Please contact us if you intend to run it in production.

Installing GatorCogitate

1. Clone the GatorCogitate source code onto your machine.

With HTTPS:

git clone https://github.com/GatorCogitate/cogitate_tool.git

Or with SSH:

git clone [email protected]:GatorCogitate/cogitate_tool.git

2. Install Pipenv (Recommended) Documentation for installing pipenv can be found Here. After pulling the repo, use pipenv shell in cogitate_tool/ to enter the virtual environment. Use exit to exit. Under the virtual environment, use pipenv install <package_name> --dev to install new packages for development.

Here is a good tutorial on how to use pipenv.

Otherwise, all dependencies will need to be installed locally with the commands:

python3 -m pip install --upgrade pip
python3 -m pip install -e

Running GatorCogitate

Run the command pipenv python run src/cogitate.py in the root directory. When prompted, press Enter to leave the repository path as default.

Note: Any users that do not wish to develop the tool can stop reading here.

Development Info

2.1 How To Install Packages

When under development, always install the virtual environment first by using pipenv install --dev, then run the developing program by using pipenv run python program_name.

2.2 How to setup scripts

The purpose of script is to automate the running or testing process. To make the scripts take effect, add the following code to the Pipfile:

[scripts]
command_name = "./scripts/script_name.sh"

Here the command_name is the command you want to use when running the project. For example, if the command_name is cogitate, the we can use pipenv run cogitate.

3. CLI

The homepage for argparse.

  • -l or --link Cogitate a repo by the url of the repo.
  • -t or --token Github user token.
  • -r or --repo User's repository.
  • -s or --state State of the issue.

4. PyDriller

The homepage and documentation for PyDriller.

The available attributes can be found at their homepage.

Steps to print out table

  • Must be in the cogitate_tool folder.
  • Before you run the program make sure you have installed the dev packages.
  • Run the following command pipenv run python src/data_collection.py
  • Enter the name of the .json you would like to write the data to.
  • If you want to use the current repository press ENTER, otherwise enter URL/path to other repository.

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Tool to analyze contributions when working in a team.

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  • Python 85.5%
  • Shell 9.2%
  • Batchfile 5.3%