pyreportcard
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:traffic_light: A report card for Python application
Python Report Card
Analyze and report the python projects which are on Github
Inspired by Go Report Card
A report card for your Python applications. This analyzes the source code quality (pep8, pyflakes and bandit etc.) of the Python projects which are hosted on GitHub, checks for license and readme files, and provides some statistics. Then shows the results on the web.
You can see our planning for future versions in here too.
ScreenShots
Features
- [x] Supports checking the code quality using PEP8 and Pyflakes linting tools
- [x] Supports counting the code lines and calculates some stats
- [x] Supports checking the license file
- [x] Provides a grade system
- [x] Provides a pyreportcard web server
- [ ] Supports checking the compatibility of Python 2 and 3
- [ ] Supports checking the security issues
- [ ] Supports customizable analyzing using own configuration file
- [ ] Serves it as web service
- [ ] Provides ranking system
- [ ] Provides badge link of repository grade
Install and Run
- Clone this repository.
- Run
pip install -r requirements.txt
to install all dependencies (If you don't havepip
, installpip
first) - Install the MongoDB that is used for our backend database.
- You must configure the secret values in
config_secret.py
. Firstly, copy the example secret file to create secret file bycp config_secret.py.example config_secret.py
, and then fill out the secret values with yours.
class SecretConfig:
SECRET_KEY = '...'
MONGO_DBNAME = 'reportcard'
MONGO_HOST = '...'
MONGO_PORT = ...
# MONGO_USER = '...'
# MONGO_PASSWORD = '...'
- Run server by
python3 run.py
. - Go
127.0.0.1:5000
and just use it.
It is also possible to run the app and MongoDB in isolated environment using
Docker and docker-compose
. Follow the
instructions above up until setting the secret values. Then, create a .env
file
comprises of environment variables for configuring the app in the container.
An example of .env
is provided below:
echo "DEBUG=1" >> .env
echo "FLASK_DEBUG=1" >> .env
echo "FLASK_ENVIRONMENT=development" >> .env
To run the app and MongoDB, build the app and run them using docker-compose
.
By default, the app will bind to port 5000
and can be accessed via localhost
,
e.g. 127.0.0.1:5000
. If the port conflicted with other running apps, feel free
to modify the port binding in docker-compose.yml
and re-run the app.
docker-compose up --build -d
Reminder: If you are going to run the app in production, do not forget to turn off DEBUG flags in
.env
file and set the environment toproduction
.
Tests
Note: We have a test code for only vcs module now. We'll add more tests for all features soon
python3 -m unittest discover tests
Dependencies
License
The content of this project itself is licensed under the Creative Commons Attribution 3.0 license, and the underlying source code used to format and display that content is licensed under the MIT license.