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A Python cli for collecting and showing your github contributions as simple and detailed as possible.

Home Page: https://pypi.org/project/that-is-me-on-github/

License: MIT License

Python 98.19% Dockerfile 1.81%
github-api github-contributions python cli click

that_is_me_on_github's Introduction

that_is_me_on_github

PyPI Python 3.6 CircleCI License: MIT Open Source Love svg1

that_is_me_on_github is a Python CLI application used for collect user's github contribution and generate markdown.

demo

Quick Start

Option 1: run with pip

$ pip install that_is_me_on_github
$ that_is_me_on_github generate --username hustclf --org_filter apache --repo_filter hustclf/RateLimiter,ing-bank/flink-deployer,edenhill/kafkacat

A markdown file named that_is_me_on_github.md will be generated under current folder.

Option 2: run with Docker

Notice: docker will create a folder automatically when not exist. To aovid it, We should create an empty file manually.

$ docker pull hustclf/that_is_me_on_github
$ touch ~/result.md
$ docker run -it --rm -v ~/result.md:/usr/src/that_is_me_on_github/that_is_me_on_github.md hustclf/that_is_me_on_github generate --username hustclf --org_filter apache --repo_filter hustclf/RateLimiter,ing-bank/flink-deployer,edenhill/kafkacat

Notice: provided with github auth info:

--auth_username and --auth_password are optional parameters. Without auth info, it is easily to reach the rate limit of github api, you can provide your account to avoid it.

For example:

$ that_is_me_on_github generate --username hustclf --org_filter apache --repo_filter hustclf/RateLimiter,ing-bank/flink-deployer,edenhill/kafkacat \\ 
--do_auth True --auth_username <github_username> --auth_password <github password>

Replace <github_username> and <github_password> with your own.

Development

that_is_me_on_github use pipenv for local development.

1.(Optional) Install pipenv

$ pip install pipenv

2. Build a pipenv environment

$ cd path-to-the-project/
$ pipenv shell

3. Under development.

Pycharm is the recommended ide.

4. Run tests.

$ pytest tests/

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