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
The article highlights common test case mistakes, offers ways to fix them, and provides practical tips to improve and optimize test cases.
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.
In this article I'll show you how to deploy Django with Celery and Postgres to Heroku.
Welcome all who are reading this article. I was given a task of creating a parser (spider) with the Scrapy library and parsing FTP server with data. The parser had to find lists of files on the server and handle each file separately depending on the requirement to the parser.
In VIM there is a command for char search: f. After first use it can be repeated with ;. I like to navigate in line with it. You see that you need to go to bracket in a middle of a line - you press f( and one-two ; and you are there. There's no such command in Emacs, so I had to write my own. I've managed even to implement repetition with ;.