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
We’ll tell you how to create a video timelapse from a sequence of snapshots and provide customers with video playlists optimized for browser playback.
One of our recent projects includes the functionality of an inline code editor. This code editor needed to be highly extensible and have custom features. To address this, we chose Codemirror v6 due to its peculiar architecture - it is highly customizable, and all the additional features are provided into codemirror engine as Extension objects.
In this article, we have prepared a quick tutorial on how to use MongoDB in Python and listed top ORM.
Now it's time to get acquainted with Elasticsearch. This NoSQL database is used to store logs, analyze information and - most importantly - search.
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.
When dealing with one of our projects (LookSMI media monitoring platform) we have to handle the huge volume of data – and its quantity is constantly growing. At the same time, we must run quick searches with smart rules. In this article I'll explain how we have achieved required performance.
