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ghs

Cross-platform CLI tool to generate your Github profile's stats and summary.

MIT License prs welcome platforms

Preview

Hop on to examples for other usecases.

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Installation

Using pip

The stable version of this package is maintained on pypi, install using pip:

pip install ghs

Using source code

This can be useful when you want to do a code contribution to this project. You can test and verify your local changes before submitting a Pull Request.

  1. Clone the repository
git clone https://github.com/interviewstreet/ghs.git
  1. Navigate to the project root and create a virtual environment
python -m venv venv
  1. Activate the virtual environment
    • For macOS and linux, run source venv/bin/activate
    • For windows, run .\venv\Scripts\activate
  2. Install the cli by running the following command while you are in the project root
pip install .

Note: You need to reinstall by running the pip command if you want the cli to pick up your code changes.

Docker

docker build -t ghs:latest .
docker run -it ghs ghs --help

Github PAT

Generate a Github personal access token (https://github.com/settings/tokens) and use the ghs -t command to save it in the config file. This will be used to make the API requests to Github. A happy side-effect of this is that your private contributions are also considered while generating the stats and the summary of your username.

Please make sure that you give the following scopes to the token:

  • repo
  • read:user
  • read:packages

PS: Your Github PAT is not compromised by ghs. Please read the Privacy Notice to know more.

Usage

ghs [options]
Option Description
-v --version Print the cli version
-t --token-update Prompts the user for github PAT and saves it in the config file
-u <username> Print the general stats for the provided username
-s --summary Print the summary of the user. The username should be provided using the -u flag.
-c --copy-to-clipboard Copy the output to clipboard. Can be used with -u or -s.
-h --help Show the help message of the cli

Examples

ghs -u <username>

Prints the general Github stats for the given username.

copy to clipboard

Provide the -c flag to copy the output to your clipboard.

Other options for summary

In addition to getting the Github summary from the beginning, you can also get the summary of the last 12 months or you can provide your own custom duration.

Installation hiccups on windows

Could not install package due to Environment Error

It can be solved by scoping the installation. Add the flag --user to the pip command (pip install --user ghs).

Alternatively, you can install the tool inside a virtual environment

ghs command not found even after installing

Most likely the place where the command is installed is not in the system PATH. On windows, there are a few places where the packages might be installed. After confirming the location, add that directory to the PATH.

How to contribute?

Please see Contributing guidelines for more information.

Steps for pushing a new update

  1. Bump the version in ghs/__init__.py (we follow semantic versioning).

  2. Create an annotated tag for this commit with the version name git tag -a v1.2.3 -m "v1.2.3". You can use this to publish a new release on the project's github page and the same can be used for maintaining the changelog.

  3. Make sure you have twine and build installed.

pip install build twine
  1. Build the package
python -m build

This will create a source archive and a wheel inside the dist folder. You can inspect them to make sure that they contain the correct files.

  1. Run twine sanity on the build files
twine check dist/*
  1. First push the package on TestPyPi so that you can test the updates without affecting the real PyPI index
twine upload -r testpypi dist/*

Get the credentials for hackerrank dev PyPI account from karthik.

Twine will list the package url on TestPyPI. You can test and confirm your changes by installing the package.

  1. Finally, run the following command to upload the package to PyPI
twine upload dist/*

Get the credentials for hackerrank PyPI account from karthik.

  1. Treat yourself with a scoop of tender coconut.

Changelog

You can checkout Releases for the changelog.

Privacy Notice

ghs does not collect any data.

  • It has no home server. The Github PAT is stored locally in your machine.
  • It doesn't embed any kind of analytic hooks in its code.

The only time ghs connects to a remote server is when you want to generate the stats and summary of your github profile. The cli uses the Github GraphQL and Github Rest APIs to do so. The data collected via the APIs is not sent anywhere. It's displayed in your terminal or copied to your clipboard (only if you explicitly tell the tool to do so by providing the -c or --copy-to-clipboard flag).

License

MIT © HackerRank