pep8speaks | automatically review Python code style over Pull Requests | Code Analyzer library
kandi X-RAY | pep8speaks Summary
kandi X-RAY | pep8speaks Summary
A GitHub :octocat: app to automatically review Python code style over Pull Requests
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Top functions reviewed by kandi - BETA
- Get configuration for a given branch
- Read the configuration file
- Run pycodestyle on github
- Get files involved in a PR
- Return a list of py files involved in a PR number
- Create the Flask application
- Handle the issue comment
- Create a PR from a github pull request
- Create the diff for the given gist
- Set properties on the request
- Set defaults for the pull request
- Set the conditionals
- Check to see if pythonic PR is in a repo
pep8speaks Key Features
pep8speaks Examples and Code Snippets
Community Discussions
Trending Discussions on pep8speaks
QUESTION
Reading the instructions here: https://pep8speaks.com/
and here: https://github.com/OrkoHunter/pep8speaks?installation_id=6398017&setup_action=update#configuration
I am a bit confused on how to use pep8speaks to check the code style/structure of my project.
Anyone have a rough step-by-step guide on how to use pep8speaks. Many thanks.
...ANSWER
Answered 2020-Jan-29 at 05:42Sure! Once you have installed and configure pep8speaks in your project, just submit a Pull Request (say with comment “Trigger pep8speaks“ and pep8speaks will reply back like a chat bot with all the checks. It will even send you an email of all the checks. In my case where my project was forked from another project, when the Pull Request is submitted from my project (to the other project), pep8speaks will do the check on just my project. Once you have the checks, you can then close the Pull Request which is sitting on the other project.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pep8speaks
You can use pep8speaks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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