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.
Promise is a powerful tool in asynchronous programming that allows developers to call a time-consuming function and proceed with program execution without waiting for the function result.
In our article, you will find the best JavaScript framework comparison so that you know for sure how to choose the right one for your project.
File upload works differently from simple form inputs, which can be somewhat troublesome for beginners. Here I'll show you how to handle uploads with ease.
We often handling API server updates including backwards-incompatible changes when upgrading web applications. At the same time we update the client part, therefore, we did not experience any particular difficulties.
There is such a term as Remote Procedure Call (RPC). In other words, by using this technology, programs can call functions on remote computers. There are many ways to implement RPC.
