github-flask | Flask extension for GitHub API
kandi X-RAY | github-flask Summary
kandi X-RAY | github-flask Summary
🍾 Flask extension for GitHub API
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Top functions reviewed by kandi - BETA
- Redirect to GitHub
- Make a HTTP request to GitHub
- Checks if the given response is a valid response
- Make a raw HTTP request
- Return True if the response is a JSON response
- Pull headers from kwargs
- Return the URL for a resource
- Generate the Authorization header
- Decorator to handle authentication errors
- Make a POST request
- Handles the response from GitHub
- Get the version number from the github py
- Read file contents
- Login to GitHub
- Redirect to the user
- Make a PUT request
- Make a PATCH request
- Initialize user from session
github-flask Key Features
github-flask Examples and Code Snippets
flaskenv_app_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'fsksc', 'server', 'app.py')
flaskenv_app_func = '{}:create_fsksc_app'.format(flaskenv_app_path)
os.environ['FLASK_APP'] = flaskenv_app_func
FLASK_APP=fsksc.server.app:create_fsksc_app
$ pip install python-dotenv
Community Discussions
Trending Discussions on github-flask
QUESTION
I'm using Github-Flask to authenitcate users on my app. I use github.authorize(scope='user:email')
. How can I get the logged in user's email?
ANSWER
Answered 2017-Dec-13 at 03:38The login
route is only redirecting to GitHub's authorization page, it has no way to access the user data yet because the user isn't logged in. Once you get to the authorized
callback, you can make API calls to GitHub.
In the authorized
route, use github.get
to call the user
API endpoint.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install github-flask
You can use github-flask 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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