flask-jwt-extended | open source Flask extension that provides JWT support | Authentication library
kandi X-RAY | flask-jwt-extended Summary
kandi X-RAY | flask-jwt-extended Summary
An open source Flask extension that provides JWT support (with batteries included)!
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Refresh expired JWT
- Encode a JWT token
- Generate a JWT from a configuration
- Create an access token
- Decorator for views that require user membership
- Wrapper for user claims verification
- Verify the JWT in the request
- Decode a JWT from a request
- Logout the user
- Unset access cookies
- Unset refresh cookies
- Removes all cookies from the response
- Returns the current user
- Get the JWT
- Login
- Creates a refresh token
- Decorator for views that require an administrator
- Decode a JWT
- Join strings together
- Decorator for views that require a JWT token
- Returns a JSON representation of the current user
- Returns a JSON - serializable view of a JWT
- Revokes the token list
- Login with cookies
- Refresh an access token
- Logout with cookies
flask-jwt-extended Key Features
flask-jwt-extended Examples and Code Snippets
# Using the additional_claims_loader, we can specify a method that will be
# called when creating JWTs. The decorated method must take the identity
# we are creating a token for and return a dictionary of additional
# claims to add to the JWT.
@jwt.a
A LocalProxy for accessing the current user. Roughly equilivant to
:func:`~flask_jwt_extended.get_current_user`
Authorization: Bearer
$ http GET :5000/protected
HTTP/1.0 401 UNAUTHORIZED
Content-Length: 39
Content-Type: application/json
Date: Sun, 24 Jan 2021 18:09:17 GMT
Server: Werkzeug/1.0.1 Python/3.8.6
{
"msg": "Missing Authorization Header"
}
$ http
import json
from functools import wraps
import config
import requests
from flask import Flask
from flask import jsonify
from flask_restful import Api
from jwt.algorithms import RSAAlgorithm
from flask_jwt_extended import current_user
from flask_jwt
from hmac import compare_digest
from flask import Flask
from flask import jsonify
from flask import request
from flask_sqlalchemy import SQLAlchemy
from flask_jwt_extended import create_access_token
from flask_jwt_extended import current_user
from
from datetime import datetime
from datetime import timedelta
from datetime import timezone
from flask import Flask
from flask import jsonify
from flask_jwt_extended import create_access_token
from flask_jwt_extended import get_jwt
from flask_jwt_ex
@api.route('/orders')
@jwt_required()
def get(self):
# current_user_info
user_id = get_jwt_identity()
return UserService.get_orders(user_id)
headers = {'Authorization': 'Bearer {token}'}
def unauthorized_response():
return make_response("Custom 401 Error", 401)
@jwt.unauthorized_loader
def unauthorized_callback(callback):
return unauthorized_response()
@app.errorhandler(401)
def unauthorized(e):
return unauth
@jwt.unauthorized_loader
def unauthorized_callback(callback):
# Missing auth header
flash("Missing auth header please login")
return make_response(render_template("login.html"), 401)
Community Discussions
Trending Discussions on flask-jwt-extended
QUESTION
I want to run a very simple application using Flask
framework. I have also run and developed flask app before. After a while I need to develop a new simple app using it.
So I have created a virtual environment and activated it:
...ANSWER
Answered 2021-May-29 at 12:49It seems that the newest version of Flask
(currently 2.0.1) has problem with dependencies.
The problem was resolved after downgrading it to 1.1.2
via the following command:
QUESTION
I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated
My test DAG code
...ANSWER
Answered 2021-Apr-19 at 16:29It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.
If you simply want to run a Python callable in a task (callable_virtualenv()
in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.
What happens in your code is the following: PythonVirtualenvOperator
creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable
. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME
environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.
So, what you can do is install colorama
into the same environment in which you installed Airflow and replace PythonVirtualenvOperator
by PythonOperator
.
BTW, those print()
inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama
with them.
QUESTION
I'm using Flask-JWT-Extended and double submit cookie method from there for my Flask backend and React Frontend. So when user logs in from frontend, backend sets total of 4 different cookeis: csrf_access_token
, csrf_refresh_token
, access_token_cookie
, refresh_token_cookie
. Out of these 4 cookies, access_token_cookie
and refresh_token_cookie
should be HTTPonly
cookie, and thus not accessible by JS and csrf_access_token
and csrf_refresh_token
are non-HTTPonly
cookie. So the idea here is that HTTPOnly
cookie holds user's session information with CSRF token and non-HTTPonly
cookie holds the CSRF token and when POST request is made, CSRF token accessed by JS is sent to backend along with the other cookies.
This was working just fine in my development environment, two of the cookies were accessible by JavaScript and thus I could send csrf_acccess_token
along with the request with withCredentials
True, but when I deploy this to test environment with TLS using Nginx (Both backend and frontend), it is setting all 4 cookies as HTTPOnly
cookie, and thus, I cannot make any POST request.
I'm not sure whether this was caused by the Nginx
, but from what I can tell, I don't see much options to turn off 2 of the HTTPOnly
cookies being registered from the backend.
Below is my configuration for flask-jwt-extended
ANSWER
Answered 2021-Apr-03 at 14:14Flask-JWT-Extended should never be setting the csrf cookies as httponly. I wonder if there is an nginx setting that is converting all cookies to httponly (something like proxy_cookie_path)?
If that’s the case, another approach you could take it to set JWT_CSRF_IN_COOKIES
to false, and use https://flask-jwt-extended.readthedocs.io/en/stable/api/#flask_jwt_extended.get_csrf_token to grab the csrf token when a JWT is created, return it as part of the JSON payload, and store it in localStorage instead of in those non-httponly cookies so that your JavaScript can still grab it when making requests.
QUESTION
I'm trying to configure OAuth authentication with GitHub apis, on Superset 1.0.1. Following the docs, I added the following lines in superset_config.py
ANSWER
Answered 2021-Mar-31 at 10:48Maybe I shouldn't have posted the question so early, since it was a very simple error ...
The OAUTH_PROVIDERS
variable should be an array!
QUESTION
I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:
...aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5
ANSWER
Answered 2021-Mar-17 at 23:14Check out this Snakefood
Especially the command sfood-imports which finds and lists import statements in python project
So it is not depended on your env but rather on the code that you wrote
QUESTION
I'm trying to find some help installing apache-airflow.
I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly
I have tried using earlier versions of pip and python to no avail.
Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.
Any help would be much appreciated.
...ANSWER
Answered 2021-Mar-04 at 00:26I am on MacOS 10.15.7 Python version 3.8.2
I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.
QUESTION
I have a Flask app with blueprints. It worked just fine, but than I decided to use flask_jwt_extended
to handle tokens. It is said in docs that I can decorate method with jwt.user_lookup_loader
to have current_user
working. But for some reason calling current_user
ends up with an error:
ANSWER
Answered 2021-Feb-19 at 14:52Your decorators are in the wrong order. @bp.route()
needs to come before @jwt_required()
, otherwise it tries to evaluate the logout
method when a request comes in before it decodes the JWT in the request.
QUESTION
I am new to flask. I was trying to set the refresh tokens signing key as the users hashed password. I only want the refresh tokens signing key to contain the users hashed password and not the access token. I went through the flask_jwt_extended docs and came across the encode_key_loader
method here.
However I am not sure how I change what the function returns base of the type of the token. This is what I have so far.
ANSWER
Answered 2021-Feb-14 at 16:03It's a bit hacky, but you could accomplish this via something like (untested):
QUESTION
I am using Python 3.9 and the Flask-JWT-Extended PyPi package in my application. I am writing some test cases and when I POST to the endpoint I am testing with a proper-looking Bearer token, I get an HTTP 422 'Unprocessable Entity'. Google is not turning up an answer. How can I fix this?
...ANSWER
Answered 2021-Feb-05 at 00:12First suggestion, if you look at the response.get_json()
it should give you a helpful error message for why the 422 was thrown (invalid audience, jwt verification failed, etc). That might help point you in the right direction.
Here is an example of a working spec that creates and passes a JWT in via headers if it helps:
QUESTION
Is there a way to set the iss claim of the JWT that is generated by create_access_token of Flask-JWT-Extended?
I tried to put the iss claim under the parameter 'user_claims' of the create_access_token:
...ANSWER
Answered 2020-Aug-16 at 13:37I think you can make use of encode_access_token
api and create an encoded access code with issuer.
Example:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flask-jwt-extended
You can use flask-jwt-extended like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page