flask getting a user object in a token based authentication - python

I'm trying to figure out token based auth. specifically in stormpath .
1. client sign up
2. client logs in, get back a token.
3. puts the token in the header of the following requests
4. server validates the token using stormpath api, and allows the user to enter the route.
this token based vs session based is confusing.
In The sessions based , i would do http://flask-stormpath.readthedocs.io/en/latest/product.html#access-user-data
from flask.ext.stormpath import login_required, user
#app.route('/email')
#login_required
def name():
return user.email
How do I seamlessly have access to the user object in every route in token based ?

Related

How to logout / signout from firebase auth with python flask

I am Creating a simple login, logout, signup flask web app using firebase auth and I successfully created login and signup but stuck in logout. So is there any way to log out or sign out from firebase auth?
Thanks
There is no way to invalidate a specific token, however you can invalidate the refresh token (refer this article)
But that doesn't seem to be your problem. So, Simply the best way to go about this would be to delete the token or forget the user from client side :
auth.current_user = None
After the user is set to None, the requests will not be authenticated and hence it's more like the user has logged out.
Still, if you want to implement this for some specific case, there is a workaround you can refer here
When you log in with firebase, it typically gives you a refresh token and an id token. These are JWT's that identify the user and the other refreshes the id token when it expires as the id token expires after 1 hour.
If you are using something like PyreBase
auth.current_user = None is not secure.
Instead, you should look at the sign out method provided.
import pyrebase
firebase = pyrebase.initialize_app(config)
auth = firebase.auth()
user = auth.sign_in_with_email_and_password(email,password)
auth.signOut()

Python[fastapi,frontend] - How to auth the frontend?

first time building frontend app,
in backend i'm running fastapi ,
I prepare the all required functionalities for security using JWT ,
and it being tested for all existing endpoints (non are webpage).
Now i added a small app to frontend and i'd like to understand
how i should restrict the access to users with valid token .
JWT restrict all non frontend endpoint by:
current_user: User = Security(get_current_active_user, scopes=["user_read"])
now i added frontend:
#customers_router.get("/customers", tags=["home"])
async def home(request: Request ,limit: int = 10) :
customers_cursor = DB.customer.find()
customers = await customers_cursor.to_list(length=limit)
customers = list(map(fix_customer_id, customers))
return templates.TemplateResponse("customer.html",{"request": request, "customers": customers})
I'm not sure for how it should work...
I understand user need the be authorize by token and if his token is valid then he he should be able to get to the webpage "/customers",
can some1 guide me what i missing ?

Searching for users in Foursquare API- Missing credentials error 401

Please help. I am trying to search for a specific user in Foursquare but for some reason I got Missing credentials error 401.
user_id = '484542633' # user ID with most agree counts and complete profile
url = 'https://api.foursquare.com/v2/users/{}?client_id={}&client_secret={}&v={}'.format(user_id, CLIENT_ID, CLIENT_SECRET, VERSION) # define URL
# send GET request
results = requests.get(url).json()
user_data = results['response']['user']
# display features associated with user
user_data.keys()
As documentation states, this endpoint is meant to be accessed on behalf of the user:
This endpoint requires user authentication.
User calls require a valid OAuth access token in the query string of each request instead of the Client ID and Secret (&oauth_token=XXXX).
For more information about this authentication method and how to obtain an access token, see the Authentication docs.
This means v2/users can only be accessed by your app, after a user (which can be you, using your own Foursquare account) goes through the OAuth login flow and grants necessary permissions. OAuth doesn't mean your app "logs in" as the user, rather that the user has given you permission to do something on their behalf.
To learn more about OAuth you can watch this talk: https://www.youtube.com/watch?v=996OiexHze0
To read more about Foursquare's API visit their documentation site: https://developer.foursquare.com/docs/api/

flask security auth_token_required - token authentication

I've successfully implemented token auth and protect my rest web service method with it - this is great approach.
Now I have trouble to access user data from token - like ID - in order to manipulate with it in accessed (protected) rest service method.
Any idea ?
You need to import the current_user which will reflect the currently authenticated user for the current request.
from flask_security import current_user, auth_token_required
#app.route('/')
#auth_token_required
def view():
print current_user.id

Custom Authentication for Google Cloud Endpoints (instead of OAuth2)

We are super excited about App Engine's support for Google Cloud Endpoints.
That said we don't use OAuth2 yet and usually authenticate users with username/password
so we can support customers that don't have Google accounts.
We want to migrate our API over to Google Cloud Endpoints because of all the benefits we then get for free (API Console, Client Libraries, robustness, …) but our main question is …
How to add custom authentication to cloud endpoints where we previously check for a valid user session + CSRF token in our existing API.
Is there an elegant way to do this without adding stuff like session information and CSRF tokens to the protoRPC messages?
I'm using webapp2 Authentication system for my entire application. So I tried to reuse this for Google Cloud Authentication and I get it!
webapp2_extras.auth uses webapp2_extras.sessions to store auth information. And it this session could be stored in 3 different formats: securecookie, datastore or memcache.
Securecookie is the default format and which I'm using. I consider it secure enough as webapp2 auth system is used for a lot of GAE application running in production enviroment.
So I decode this securecookie and reuse it from GAE Endpoints. I don't know if this could generate some secure problem (I hope not) but maybe #bossylobster could say if it is ok looking at security side.
My Api:
import Cookie
import logging
import endpoints
import os
from google.appengine.ext import ndb
from protorpc import remote
import time
from webapp2_extras.sessions import SessionDict
from web.frankcrm_api_messages import IdContactMsg, FullContactMsg, ContactList, SimpleResponseMsg
from web.models import Contact, User
from webapp2_extras import sessions, securecookie, auth
import config
__author__ = 'Douglas S. Correa'
TOKEN_CONFIG = {
'token_max_age': 86400 * 7 * 3,
'token_new_age': 86400,
'token_cache_age': 3600,
}
SESSION_ATTRIBUTES = ['user_id', 'remember',
'token', 'token_ts', 'cache_ts']
SESSION_SECRET_KEY = '9C3155EFEEB9D9A66A22EDC16AEDA'
#endpoints.api(name='frank', version='v1',
description='FrankCRM API')
class FrankApi(remote.Service):
user = None
token = None
#classmethod
def get_user_from_cookie(cls):
serializer = securecookie.SecureCookieSerializer(SESSION_SECRET_KEY)
cookie_string = os.environ.get('HTTP_COOKIE')
cookie = Cookie.SimpleCookie()
cookie.load(cookie_string)
session = cookie['session'].value
session_name = cookie['session_name'].value
session_name_data = serializer.deserialize('session_name', session_name)
session_dict = SessionDict(cls, data=session_name_data, new=False)
if session_dict:
session_final = dict(zip(SESSION_ATTRIBUTES, session_dict.get('_user')))
_user, _token = cls.validate_token(session_final.get('user_id'), session_final.get('token'),
token_ts=session_final.get('token_ts'))
cls.user = _user
cls.token = _token
#classmethod
def user_to_dict(cls, user):
"""Returns a dictionary based on a user object.
Extra attributes to be retrieved must be set in this module's
configuration.
:param user:
User object: an instance the custom user model.
:returns:
A dictionary with user data.
"""
if not user:
return None
user_dict = dict((a, getattr(user, a)) for a in [])
user_dict['user_id'] = user.get_id()
return user_dict
#classmethod
def get_user_by_auth_token(cls, user_id, token):
"""Returns a user dict based on user_id and auth token.
:param user_id:
User id.
:param token:
Authentication token.
:returns:
A tuple ``(user_dict, token_timestamp)``. Both values can be None.
The token timestamp will be None if the user is invalid or it
is valid but the token requires renewal.
"""
user, ts = User.get_by_auth_token(user_id, token)
return cls.user_to_dict(user), ts
#classmethod
def validate_token(cls, user_id, token, token_ts=None):
"""Validates a token.
Tokens are random strings used to authenticate temporarily. They are
used to validate sessions or service requests.
:param user_id:
User id.
:param token:
Token to be checked.
:param token_ts:
Optional token timestamp used to pre-validate the token age.
:returns:
A tuple ``(user_dict, token)``.
"""
now = int(time.time())
delete = token_ts and ((now - token_ts) > TOKEN_CONFIG['token_max_age'])
create = False
if not delete:
# Try to fetch the user.
user, ts = cls.get_user_by_auth_token(user_id, token)
if user:
# Now validate the real timestamp.
delete = (now - ts) > TOKEN_CONFIG['token_max_age']
create = (now - ts) > TOKEN_CONFIG['token_new_age']
if delete or create or not user:
if delete or create:
# Delete token from db.
User.delete_auth_token(user_id, token)
if delete:
user = None
token = None
return user, token
#endpoints.method(IdContactMsg, ContactList,
path='contact/list', http_method='GET',
name='contact.list')
def list_contacts(self, request):
self.get_user_from_cookie()
if not self.user:
raise endpoints.UnauthorizedException('Invalid token.')
model_list = Contact.query().fetch(20)
contact_list = []
for contact in model_list:
contact_list.append(contact.to_full_contact_message())
return ContactList(contact_list=contact_list)
#endpoints.method(FullContactMsg, IdContactMsg,
path='contact/add', http_method='POST',
name='contact.add')
def add_contact(self, request):
self.get_user_from_cookie()
if not self.user:
raise endpoints.UnauthorizedException('Invalid token.')
new_contact = Contact.put_from_message(request)
logging.info(new_contact.key.id())
return IdContactMsg(id=new_contact.key.id())
#endpoints.method(FullContactMsg, IdContactMsg,
path='contact/update', http_method='POST',
name='contact.update')
def update_contact(self, request):
self.get_user_from_cookie()
if not self.user:
raise endpoints.UnauthorizedException('Invalid token.')
new_contact = Contact.put_from_message(request)
logging.info(new_contact.key.id())
return IdContactMsg(id=new_contact.key.id())
#endpoints.method(IdContactMsg, SimpleResponseMsg,
path='contact/delete', http_method='POST',
name='contact.delete')
def delete_contact(self, request):
self.get_user_from_cookie()
if not self.user:
raise endpoints.UnauthorizedException('Invalid token.')
if request.id:
contact_to_delete_key = ndb.Key(Contact, request.id)
if contact_to_delete_key.get():
contact_to_delete_key.delete()
return SimpleResponseMsg(success=True)
return SimpleResponseMsg(success=False)
APPLICATION = endpoints.api_server([FrankApi],
restricted=False)
I wrote a custom python authentication library called Authtopus that may be of interest to anyone looking for a solution to this problem: https://github.com/rggibson/Authtopus
Authtopus supports basic username and password registrations and logins, as well as social logins via Facebook or Google (more social providers could probably be added without too much hassle too). User accounts are merged according to verified email addresses, so if a user first registers by username and password, then later uses a social login, and the verified email addresses of the accounts match up, then no separate User account is created.
From my understanding Google Cloud Endpoints provides a way to implement a (RESTful?) API and to generate a mobile client library. Authentication in this case would be OAuth2. OAuth2 provides different 'flows', some of which support mobile clients.
In the case of authentication using a principal and credentials (username and password) this doesn't seem like a good fit. I honestly think you would be better off by using OAuth2.
Implementing a custom OAuth2 flow to support your case is an approach that could work but is very error prone.
I haven't worked with OAuth2 yet but maybe an 'API key' can be created for a user so they can both use the front-end and the back-end through the use of mobile clients.
you can used jwt for authentication. Solutions here
I did not coded it yet, but it imagined next way:
When server receives login request it look up username/password in datastore. In case user not found server responds with some error object that contains appropriate message like "User doesn't exist" or like. In case found it stored in FIFO kind of collection (cache) with limited size like 100 (or 1000 or 10000).
On successful login request server returns to client sessionid like ";LKJLK345345LKJLKJSDF53KL". Can be Base64 encoded username:password.
Client stores it in Cookie named "authString" or "sessionid" (or something less eloquent) with 30 min (any) expiration.
With each request after login client sends Autorization header that it takes from cookie. Each time cookie taken, it renewed -- so it never expires while user active.
On server side we will have AuthFilter that will check presence of Authorization header in each request (exclude login, signup, reset_password). If no such header found, filter returns response to client with status code 401 (client shows login screen to user). If header found filter first checks presence of user in the cache, after in datastore and if user found -- does nothing (request handled by appropriate method), not found -- 401.
Above architecture allows to keep server stateless but still have auto disconnecting sessions.

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