In my current project I had a task to use twitter API. Twitter uses OAuth for authentication, which is pretty dreary. To avoid fiddling with it all the time, I've moved authentication to decorator, now it looks like this:
@twitter_api
def tweet_hello(request, api):
api.update_status('hello')# ...Decorator checks if key is available, and, if needed - initiates authentication. User is redirected to twitter, grants permission and is redirected back to site, to the same place where he left off. If key is available - nothing happens, just view is launched as usual.
It's convenient that there's no need for additional twitter settings in user profile.
tweepy is used as an API wrapper.
def twitter_api(view):
def wrapped(request, args, *kwargs):
callback_url = absolute_url(oauth_endpoint)
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET, callback_url)
if 'twitter_access_token' in request.session:
key, secret = request.session['twitter_access_token']
auth.set_access_token(key, secret)
return view(request, api=tweepy.API(auth), *args, **kwargs)
request.session['twitter_action'] = request.path
redirect_url = auth.get_authorization_url()
request.session['twitter_request_token'] = (auth.request_token.key, auth.request_token.secret)
return redirect(redirect_url)
return wrapped
def oauth_endpoint(request):
callback_url = absolute_url(oauth_endpoint)
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET, callback_url)
key, secret = request.session.pop('twitter_request_token')
auth.set_request_token(key, secret)
verifier = request.REQUEST.get('oauth_verifier')
auth.get_access_token(verifier)
request.session['twitter_access_token'] = (auth.access_token.key, auth.access_token.secret)
return redirect(request.session.pop('twitter_action'))- of course, you need to wrap everything in try..except blocks and process errors accordingly
absolute_urlshould return full url, with http://- apart from
request.pathyou can also storePOSTandGET. - path can be passed as an argument to
callback_url
Subscribe for the news and updates
This article demonstrates how to use Python to automate yield calculations in decentralized finance (DeFi), focusing on the Renzo and Pendle platforms. It guides readers through estimating potential rewards based on factors like token prices, liquidity, and reward distribution rules, emphasizing the importance of regular data updates and informed decision-making in DeFi investments.
Test analysis is an essential and crucial activity in the testing process. A well-organized test analysis provides an adequate level of confidence in the overall effectiveness of the testing and contributes to the delivery of high-quality software.
Tired of boring programming courses where you're forced to read thick textbooks and write code that's never used? Need a platform that makes learning fun and exciting? Then you're in the right place!
One of the key requirements for modern UI is being performant. No matter how beautiful your app looks and what killer features it offers, it will frustrate your users if it clangs.
In this article we will tell you about the basics of working with GraphQL in Angular 2 environment with detailed example.
For any project there may be a need to use a database full-text search. We expect high speed and relevant results from this search. When we face such problem, we usually think about Solr, ElasticSearch, Sphinx, AWS CloudSearch, etc. But in this article we will talk about PostgreSQL. Starting from version 8.3, a full-text search support in PostgreSQL is available. Let's look at how it is implemented in the DBMS itself.
