How to implement login required decorator in Flask

Question

I have 2 Flask apps (different projects) that work together . One implements some API which uses tokens for auth. The second one consumes the API and makes a web interface f

Answer 1

Also, have a look at the official flask docs regarding decorators: https://flask.palletsprojects.com/en/1.1.x/patterns/viewdecorators/ or the python docs https://www.python.org/dev/peps/pep-0318/ as well.

Your decorator should look something like:

from functools import wraps
from flask import abort
import jwt

def authorize(f):
    @wraps(f)
    def decorated_function(*args, **kws):
            if not 'Authorization' in request.headers:
               abort(401)

            user = None
            data = request.headers['Authorization'].encode('ascii','ignore')
            token = str.replace(str(data), 'Bearer ','')
            try:
                user = jwt.decode(token, JWT_SECRET, algorithms=['HS256'])['sub']
            except:
                abort(401)

            return f(user, *args, **kws)            
    return decorated_function

... and then in your app.py you may have:

@app.route('/api/game', methods=['POST'])
@authorize
def create(user):
    data = json.loads(request.data)
    ....

In this particular case I have used JWT as token and your token can be different respectively the decoding of the token can be your custom implementation, but the basic mechanisms are pretty much as on the example above.

Answer 2

Given that each subsequent request will contain the API token, the decorator should do the following

• Accept a generic request. You can use *args and **kargs for that
• Extract the token from the header and compare it with the token stored in db (not Redis, but wherever the token generated is stored in the backend)
• If authenticated, the *args and **kargs should be passed on to the decorated function
• The output of the decorated function should then be returned as is
• If the authentication failed, an error message should be returned.

For explanation on decorators, check out this link: http://thecodeship.com/patterns/guide-to-python-function-decorators/