python-oauth2 | OAuth 2.0 provider written in python | OAuth library
kandi X-RAY | python-oauth2 Summary
kandi X-RAY | python-oauth2 Summary
[UNMAINTAINED] OAuth 2.0 provider written in python
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Top functions reviewed by kandi - BETA
- Fetch a client by its identifier
- Execute a query against the database
- Executes the given query
- Executes a query and returns the result
- Returns an authorization code by its code
- Start the OAuth2 server
- Adds a new client
- Adds a grant to the token generator
- Writes data to cache
- Save access token into database
- Returns a new access token for a given user
- Fetch all scopes
- Fetch data for all datasets
- Convert a row to a AccessToken instance
- Save an authorization code
- Retrieve an access token by its refresh token
- Adds a grant
- Read a cached value from the cache
- Determine the grant type based on the request
- Add a new header
- Fetch the data from the server
- Delete a refresh token
- Delete an auth code
- Delete code from database
- Authenticates the request
- Perform a POST request
python-oauth2 Key Features
python-oauth2 Examples and Code Snippets
Community Discussions
Trending Discussions on python-oauth2
QUESTION
I am trying to use xero-python-oauth2-starter-master but I cant get past the first step! I am on Windows and i have installed python 3.8, Visual Studio Code (I also tried this with the Anaconda suit) and latest Git.
When i try to run the dependencies on requirments.txt
I get the error Permission denied
. Please see below This is from using Windows PowerShell (also tried from cmd, Anaconda PowerShell and Anaconda CMD)
ANSWER
Answered 2020-Aug-07 at 12:43Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-oauth2
You can use python-oauth2 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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