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good day everybody,
having some issues with flask and authlib. Bellow snip of my flash code
from flask import Flask, render_template
from authlib.integrations.flask_client import OAuth
import os
app = Flask(__name__)
app._static_folder = os.path.abspath("static")
app.config.from_object('config')
oauth = OAuth(app)
webex = oauth.register(name='WEBEX', redirect_uri='http://webapp.dcloud.cisco.com:5000/AuthWebex', client_kwargs={
'scope': 'spark:all'
} )
config.py
import os
WEBEX_CLIENT_ID='C3a256be511cdf07e19f272960c44a214aec14b727b108e4f10bd124d31d2112c'
WEBEX_CLIENT_SECRET='secret'
WEBEX_ACCESS_TOKEN_URL='https://api.ciscospark.com/v1/access_token'
WEBEX_REDIRECT_URI='http://localhost:5000/AuthWebex'
WEBEX_SCOPE='spark:all'
when running above code I get the following error:
File "/Users/tneumann/PycharmProjects/untitled/venv/lib/python3.7/site-packages/authlib/integrations/flask_client/oauth_registry.py", line 61, in register
self.use_oauth_clients()
File "/Users/tneumann/PycharmProjects/untitled/venv/lib/python3.7/site-packages/authlib/integrations/_client/oauth_registry.py", line 49, in use_oauth_clients
clients = self.AVAILABLE_CLIENTS[name]
KeyError: 'requests'
looked at examples and did some research, no luck. Can't find any solution...
thanks in adv.
Tobi
UPDATE:
per comment bellow here the latest code:
from flask import Flask, render_template, url_for, request
from authlib.integrations.flask_client import OAuth
import os
import requests
app = Flask(__name__)
app._static_folder = os.path.abspath("static")
app.config.from_object('config')
app.secret_key = os.urandom(24)
oauth = OAuth(app)
oauth.register(
'webex',
api_base_url='https://api.ciscospark.com/v1',
authorize_url='https://api.ciscospark.com/v1/authorize',
access_token_url='https://api.ciscospark.com/v1/access_token',
redirect_uri='http://webapp.dcloud.cisco.com:5000/AuthWebex',
scope='spark:all')
#app.route('/')
def main():
"""Entry point; the view for the main page"""
return render_template('main.html')
#app.route('/authorize')
def authorize():
return render_template('authorize.html')
#app.route('/login')
def login():
#redirect_uri = url_for('AuthWebex', _external=True)
redirect_uri = 'http://webapp.dcloud.cisco.com:5000/AuthWebex'
print(redirect_uri)
return oauth.webex.authorize_redirect(redirect_uri)
#app.route('/AuthWebex')
def AuthWebex():
#print(request.__dict__)
token = oauth.webex.authorize_access_token( authorization_response=request.url,
redirect_uri='http://webapp.dcloud.cisco.com:5000/AuthWebex',
client_id='C3a256be511cdf07e19f272960c44a214aec14b727b108e4f10bd124d31d2112c',
client_secret='secret',
)
print("Token: ", token)
resp = oauth.webex.get('https://api.ciscospark.com/v1/people/me')
profile = resp.json()
print(profile)
# do something with the token and profile
return '<html><body><h1>Authenticated</h1></body></html>'
if __name__ == '__main__':
app.run()
oauth.webex.authorize_access_token function throws and error when called without the parameters. which is strange as most examples I found exactly do that.
client_id and client_secret are set via the config.py file. This works for the oauth.register function but not for the authorize_access_token.
Additional problem is that even with the parameters, it produces a valid token. When I call the get function I get the following error:
File "/Users/tneumann/PycharmProjects/untitled/venv/lib/python3.7/site-packages/requests/models.py", line 317, in prepare
self.prepare_auth(auth, url)
File "/Users/tneumann/PycharmProjects/untitled/venv/lib/python3.7/site-packages/requests/models.py", line 548, in prepare_auth
r = auth(self)
File "/Users/tneumann/PycharmProjects/untitled/venv/lib/python3.7/site-packages/authlib/integrations/requests_client/oauth2_session.py", line 41, in __call__
raise UnsupportedTokenTypeError(description=description)
authlib.integrations._client.errors.UnsupportedTokenTypeError: unsupported_token_type: Unsupported token_type: 'token_type'
here is the format of the token returned from authorize_access_token function
Token: {'access_token': 'YWIzNGU3<secret>tNDQ5_PF84_7cc07dbd-<secret>-5877334424fd', 'expires_in': 1209599, 'refresh_token': 'MjU2ZDM4N2Et<secret>ZmItMTg5_PF84_7cc07dbd-<secret>877334424fd', 'refresh_token_expires_in': 7722014, 'expires_at': 1574863645}
went through the docs, the code on github and debugging in pycharm with no luck, help would be much appreciated!
The problem here is that this AuthWebex is not a standard OAuth service. The response has no token_type. We can fix it with Authlib compliance fix:
Check the example here:
https://docs.authlib.org/en/latest/client/frameworks.html#compliance-fix-for-oauth-2-0
The slack example has the same issue.
I'm trying to do "100 lines of python code" for algorithmic trading and have been stopped early in my tracks with an attribute error.
I'm using sublime text and running it on python 3.7.
Here is the code I used:
import configparser
import oandapy as opy
config = configparser.ConfigParser()
config.read("oanda.cfg")
oanda = opy.API(environment = "practice",
access_token = config["oanda"] ["access_token"] )
Here are the results:
Traceback (most recent call last):
File "100lines.py", line 7, in <module>
oanda = opy.API(environment = "practice",
AttributeError: module 'oandapy' has no attribute 'API'
Try this:
# Print all attributes/functions in module
print(dir(opy))
and check the modules present
I think you'll have to use 'APIv20' rather than just 'API'
The api method is now called APIv20 in the current version (0.0.9).
so changing the last line to:
oanda = opy.APIv20(environment='practice', access_token=config['oanda']['access_token'])
will make solve your issue.
I'm trying to use Hyperopt parallel search with MongoDB, and encountered some issues with Mongotrials, which have been discussed here. I've tried all their methods, and I am still unable to find solutions to my specific problem. The specific model I'm trying to minimize is RadomForestRegressor from sklearn.
I've followed this tutorial. And I'm able to print out the calculated "fmin" with no issue.
Here are my steps so far:
1) Activate a virtual environment called "tensorflow" (I've installed all my libraries there)
2) Start MongoDB:
(tensorflow) bash-3.2$ mongod --dbpath . --port 1234 --directoryperdb --journal --nohttpinterface
3) Initiate workers:
(tensorflow) bash-3.2$ hyperopt-mongo-worker --mongo=localhost:1234/foo_db --poll-interval=0.1
4) Run my python code, and my python code is as follows:
import numpy as np
import pandas as pd
from sklearn.metrics import mean_absolute_error
from hyperopt import hp, fmin, tpe, STATUS_OK, Trials
from hyperopt.mongoexp import MongoTrials
# Preprocessing data
train_xg = pd.read_csv('train.csv')
n_train = len(train_xg)
print "Whole data set size: ", n_train
# Creating columns for features, and categorical features
features_col = [x for x in train_xg.columns if x not in ['id', 'loss', 'log_loss']]
cat_features_col = [x for x in train_xg.select_dtypes(include=['object']).columns if x not in ['id', 'loss', 'log_loss']]
for c in range(len(cat_features_col)):
train_xg[cat_features_col[c]] = train_xg[cat_features_col[c]].astype('category').cat.codes
# Use this to train random forest regressor
train_xg_x = np.array(train_xg[features_col])
train_xg_y = np.array(train_xg['loss'])
space_rf = { 'min_samples_leaf': hp.choice('min_samples_leaf', range(1,100)) }
trials = MongoTrials('mongo://localhost:1234/foo_db/jobs', exp_key='exp1')
def minMe(params):
# Hyperopt tuning for hyperparameters
from sklearn.model_selection import cross_val_score
from sklearn.ensemble import RandomForestRegressor
from hyperopt import STATUS_OK
try:
import dill as pickle
print('Went with dill')
except ImportError:
import pickle
def hyperopt_rf(params):
rf = RandomForestRegressor(**params)
return cross_val_score(rf, train_xg_x, train_xg_y).mean()
acc = hyperopt_rf(params)
print 'new acc:', acc, 'params: ', params
return {'loss': -acc, 'status': STATUS_OK}
best = fmin(fn=minMe, space=space_rf, trials=trials, algo=tpe.suggest, max_evals=100)
print "Best: ", best
5) After I run the above Python code, I get the following errors:
INFO:hyperopt.mongoexp:Error while unpickling. Try installing dill via "pip install dill" for enhanced pickling support.
INFO:hyperopt.mongoexp:job exception: 'module' object has no attribute 'minMe'
Traceback (most recent call last):
File "/Users/WernerChao/tensorflow/bin/hyperopt-mongo-worker", line 6, in <module>
sys.exit(hyperopt.mongoexp.main_worker())
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1302, in main_worker
return main_worker_helper(options, args)
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1249, in main_worker_helper
mworker.run_one(reserve_timeout=float(options.reserve_timeout))
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1064, in run_one
domain = pickle.loads(blob)
AttributeError: 'module' object has no attribute 'minMe'
INFO:hyperopt.mongoexp:PROTOCOL mongo
INFO:hyperopt.mongoexp:USERNAME None
INFO:hyperopt.mongoexp:HOSTNAME localhost
INFO:hyperopt.mongoexp:PORT 1234
INFO:hyperopt.mongoexp:PATH /foo_db/jobs
INFO:hyperopt.mongoexp:DB foo_db
INFO:hyperopt.mongoexp:COLLECTION jobs
INFO:hyperopt.mongoexp:PASS None
INFO:hyperopt.mongoexp:Error while unpickling. Try installing dill via "pip install dill" for enhanced pickling support.
INFO:hyperopt.mongoexp:job exception: 'module' object has no attribute 'minMe'
Traceback (most recent call last):
File "/Users/WernerChao/tensorflow/bin/hyperopt-mongo-worker", line 6, in <module>
sys.exit(hyperopt.mongoexp.main_worker())
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1302, in main_worker
return main_worker_helper(options, args)
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1249, in main_worker_helper
mworker.run_one(reserve_timeout=float(options.reserve_timeout))
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1064, in run_one
domain = pickle.loads(blob)
AttributeError: 'module' object has no attribute 'minMe'
INFO:hyperopt.mongoexp:PROTOCOL mongo
INFO:hyperopt.mongoexp:USERNAME None
INFO:hyperopt.mongoexp:HOSTNAME localhost
INFO:hyperopt.mongoexp:PORT 1234
INFO:hyperopt.mongoexp:PATH /foo_db/jobs
INFO:hyperopt.mongoexp:DB foo_db
INFO:hyperopt.mongoexp:COLLECTION jobs
INFO:hyperopt.mongoexp:PASS None
INFO:hyperopt.mongoexp:Error while unpickling. Try installing dill via "pip install dill" for enhanced pickling support.
INFO:hyperopt.mongoexp:job exception: 'module' object has no attribute 'minMe'
Traceback (most recent call last):
File "/Users/WernerChao/tensorflow/bin/hyperopt-mongo-worker", line 6, in <module>
sys.exit(hyperopt.mongoexp.main_worker())
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1302, in main_worker
return main_worker_helper(options, args)
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1249, in main_worker_helper
mworker.run_one(reserve_timeout=float(options.reserve_timeout))
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1064, in run_one
domain = pickle.loads(blob)
AttributeError: 'module' object has no attribute 'minMe'
INFO:hyperopt.mongoexp:PROTOCOL mongo
INFO:hyperopt.mongoexp:USERNAME None
INFO:hyperopt.mongoexp:HOSTNAME localhost
INFO:hyperopt.mongoexp:PORT 1234
INFO:hyperopt.mongoexp:PATH /foo_db/jobs
INFO:hyperopt.mongoexp:DB foo_db
INFO:hyperopt.mongoexp:COLLECTION jobs
INFO:hyperopt.mongoexp:PASS None
INFO:hyperopt.mongoexp:no job found, sleeping for 0.7s
INFO:hyperopt.mongoexp:Error while unpickling. Try installing dill via "pip install dill" for enhanced pickling support.
INFO:hyperopt.mongoexp:job exception: 'module' object has no attribute 'minMe'
Traceback (most recent call last):
File "/Users/WernerChao/tensorflow/bin/hyperopt-mongo-worker", line 6, in <module>
sys.exit(hyperopt.mongoexp.main_worker())
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1302, in main_worker
return main_worker_helper(options, args)
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1249, in main_worker_helper
mworker.run_one(reserve_timeout=float(options.reserve_timeout))
File "/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1064, in run_one
domain = pickle.loads(blob)
AttributeError: 'module' object has no attribute 'minMe'
INFO:hyperopt.mongoexp:exiting with N=9223372036854775803 after 4 consecutive exceptions
6) Then Mongo workers would shut off.
Things I've tried:
install "dill" as the error suggested -> didn't work
Put global imports into the objective function so it can pickle -> didn't work
Put try except with "dill" or "pickle" as import -> didn't work
Does anyone have similar issues? I'm running out of ideas to try, and have been working on this for 2 days in vain. I think I am missing something really simple here, just can't seem to find it.
What am I missing?
Any suggestion is welcomed please!
Had the same problem in python 3.5. Installing Dill didn't help, nor dir setting workdir in MongoTrials or hyperopt-mongo-worker cli. hyperopt-mongo-worker doesn't seem to have access to __main__ where the function was defined:
AttributeError: Can't get attribute 'minMe' on <module '__main__' from ...hyperopt-mongo-worker
As #jaikumarm suggested, I circumvented the problem by writing a module file with all the required functions. However, instead of soft-linking it into the bin directory, I extended the PYTHONPATH before running hyperopt-mongo-worker:
export PYTHONPATH="${PYTHONPATH}:<dir_with_the_module.py>"
hyperopt-mongo-worker ...
That way, the hyperopt-monogo-worker is able to import the module containing minMe.
I fought with this for several days before coming up with a workable solution. there are two problems:
1. the mongo worker spawns off a separate process to run the optimizer so any context from your original python file is lost and unavailable for this new process.
2. the imports on this new process happen in the context of the hyperopt-mongo-worker scipy, which is in your case will be /Users/WernerChao/tensorflow/bin/.
So my solution is to make this new optimizer function completely self sufficient
optimizer.py
import numpy as np
import pandas as pd
from sklearn.metrics import mean_absolute_error
# Preprocessing data
train_xg = pd.read_csv('train.csv')
n_train = len(train_xg)
print "Whole data set size: ", n_train
# Creating columns for features, and categorical features
features_col = [x for x in train_xg.columns if x not in ['id', 'loss', 'log_loss']]
cat_features_col = [x for x in train_xg.select_dtypes(include=['object']).columns if x not in ['id', 'loss', 'log_loss']]
for c in range(len(cat_features_col)):
train_xg[cat_features_col[c]] = train_xg[cat_features_col[c]].astype('category').cat.codes
# Use this to train random forest regressor
train_xg_x = np.array(train_xg[features_col])
train_xg_y = np.array(train_xg['loss'])
def minMe(params):
# Hyperopt tuning for hyperparameters
from sklearn.model_selection import cross_val_score
from sklearn.ensemble import RandomForestRegressor
from hyperopt import STATUS_OK
try:
import dill as pickle
print('Went with dill')
except ImportError:
import pickle
def hyperopt_rf(params):
rf = RandomForestRegressor(**params)
return cross_val_score(rf, train_xg_x, train_xg_y).mean()
acc = hyperopt_rf(params)
print 'new acc:', acc, 'params: ', params
return {'loss': -acc, 'status': STATUS_OK}
wrapper.py
from hyperopt import hp, fmin, tpe, STATUS_OK, Trials
from hyperopt.mongoexp import MongoTrials
import optimizer
space_rf = { 'min_samples_leaf': hp.choice('min_samples_leaf', range(1,100)) }
best = fmin(fn=optimizer.minMe, space=space_rf, trials=trials, algo=tpe.suggest, max_evals=100)
print "Best: ", best
trials = MongoTrials('mongo://localhost:1234/foo_db/jobs', exp_key='exp1')
Once you have this code link the optimizer.py to the bin folder
ln -s /Users/WernerChao/Git/test/optimizer.py /Users/WernerChao/tensorflow/bin/
now run the wrapper.py and then the mongo worker it should be able to import the optimizer from its local context and run the minMe function.
Try to install Dill in the Python environment of your tensorflow (or possibly the worker):
/Users/WernerChao/tensorflow/lib/python2.7/site-packages/hyperopt
Your aim is to get rid of the hyperopt error message:
hyperopt.mongoexp:Error while unpickling. Try installing dill via "pip install dill" for enhanced pickling support.
This is because the Python by default cannot marshal a function. It requires dill library to extend Python's pickling module for serialising/de-serialising Python objects. In your case, it failed to serialise your function minMe().
I made a separate file which calculates the loss and copied it to /anaconda2/bin/
and
/anaconda2/lib/python2.7/site-packages/hyperopt
it is working fine.
This was my Traceback
Traceback (most recent call last):
File "/home/greatskull/anaconda2/bin/hyperopt-mongo-worker", line 6, in <module>
sys.exit(hyperopt.mongoexp.main_worker())
File "/home/greatskull/anaconda2/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1302, in main_worker
return main_worker_helper(options, args)
File "/home/greatskull/anaconda2/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1249, in main_worker_helper
mworker.run_one(reserve_timeout=float(options.reserve_timeout))
File "/home/greatskull/anaconda2/lib/python2.7/site-packages/hyperopt/mongoexp.py", line 1073, in run_one
with temp_dir(workdir, erase_created_workdir), working_dir(workdir):
File "/home/greatskull/anaconda2/lib/python2.7/contextlib.py", line 17, in __enter__
return self.gen.next()
File "/home/greatskull/anaconda2/lib/python2.7/site-packages/hyperopt/utils.py", line 229, in temp_dir
os.makedirs(dir)
File "/home/greatskull/anaconda2/lib/python2.7/os.py", line 150, in makedirs
makedirs(head, mode)
File "/home/greatskull/anaconda2/lib/python2.7/os.py", line 157, in makedirs
mkdir(name, mode)
I am facing an issue when running an application on Heroku. The local version seems to work fine but I am unable to call create_db() on the heroku platform.
This is is the error trace.
(venv)S-MBP:LaunchPage3 S$ heroku run python
Running python on herokuapp... up, run.5609
Python 2.7.11 (default, Dec 7 2015, 21:16:24)
[GCC 4.8.4] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from app import db
>>> db.create_all()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/app/.heroku/python/lib/python2.7/site-packages/flask_sqlalchemy/__init__.py", line 972, in create_all
self._execute_for_all_tables(app, bind, 'create_all')
File "/app/.heroku/python/lib/python2.7/site-packages/flask_sqlalchemy/__init__.py", line 964, in _execute_for_all_tables
op(bind=self.get_engine(app, bind), **extra)
File "/app/.heroku/python/lib/python2.7/site-packages/flask_sqlalchemy/__init__.py", line 910, in get_engine
return connector.get_engine()
File "/app/.heroku/python/lib/python2.7/site-packages/flask_sqlalchemy/__init__.py", line 542, in get_engine
self._sa.apply_driver_hacks(self._app, info, options)
File "/app/.heroku/python/lib/python2.7/site-packages/flask_sqlalchemy/__init__.py", line 846, in apply_driver_hacks
if info.drivername.startswith('mysql'):
AttributeError: 'ParseResult' object has no attribute 'drivername'
This is app.py
import os, requests, json
from flask import Flask, render_template, request, redirect
import psycopg2, urlparse
from flask.ext.sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
if 'PRODUCTION' in os.environ:
urlparse.uses_netloc.append("postgres")
app.config['SQLALCHEMY_DATABASE_URI'] = urlparse.urlparse(os.environ["DATABASE_URL"])
else:
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql+psycopg2://postgres:root#localhost:5432/db'
app.config['SQLALCHEMY_ECHO'] = True
db = SQLAlchemy(app)
[CODE - ONE FILE APPLICATION WITH DB MODELS ETC]
if __name__ == '__main__':
db.create_all()
port = int(os.environ.get('PORT',5000))
if 'PRODUCTION' in os.environ:
app.debug = False
app.run(host='0.0.0.0', port=port)
else:
app.debug = True
app.run(host='127.0.0.1', port=port)
Any pointers will be appreciated. I tried following other question in SO but those answers did not help.
Try changing import urlparse to:
from urlparse import urlparse
I try to use the django REST-framework's tutorial http://django-rest-framework.org/#django-rest-framework to administrate users. (I also use the Neo4j database and the neo4django mapper https://github.com/scholrly/neo4django to acces data via python.)
Whatever, wen I call localhost:8000/users an AttributeError appears.
models.py
from django.utils import timezone
from django.conf import settings
from django.contrib.auth import models as django_auth_models
from ..db import models
from ..db.models.manager import NodeModelManager
from ..decorators import borrows_methods
class UserManager(NodeModelManager, django_auth_models.UserManager):
pass
# all non-overriden methods of DjangoUser are called this way instead.
# inheritance would be preferred, but isn't an option because of conflicting
# metaclasses and weird class side-effects
USER_PASSTHROUGH_METHODS = (
"__unicode__", "natural_key", "get_absolute_url",
"is_anonymous", "is_authenticated", "get_full_name", "set_password",
"check_password", "set_unusable_password", "has_usable_password",
"get_group_permissions", "get_all_permissions", "has_perm", "has_perms",
"has_module_perms", "email_user", 'get_profile','get_username')
#borrows_methods(django_auth_models.User, USER_PASSTHROUGH_METHODS)
class User(models.NodeModel):
objects = UserManager()
username = models.StringProperty(indexed=True, unique=True)
first_name = models.StringProperty()
last_name = models.StringProperty()
email = models.EmailProperty(indexed=True)
password = models.StringProperty()
is_staff = models.BooleanProperty(default=False)
is_active = models.BooleanProperty(default=False)
is_superuser = models.BooleanProperty(default=False)
last_login = models.DateTimeProperty(default=timezone.now())
date_joined = models.DateTimeProperty(default=timezone.now())
USERNAME_FIELD = 'username'
REQUIRED_FIELDS=['email']
serializers.py
from neo4django.graph_auth.models import User
from rest_framework import serializers
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ('url', 'username', 'email')
views.py
from neo4django.graph_auth.models import User
from rest_framework import viewsets
from api.serializers import UserSerializer
class UserViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edited.
"""
queryset = User.objects.all()
serializer_class = UserSerializer
I get this:
Environment:
Request Method: GET
Request URL: http://localhost:8000/users/
Django Version: 1.5.3
Python Version: 2.7.3
Installed Applications:
('core.models',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'neo4django.graph_auth',
'rest_framework')
Installed Middleware:
('django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware')
Traceback:
File "/opt/phaidra/env/local/lib/python2.7/site-packages/django/core/handlers/base.py" in get_response
115. response = callback(request, *callback_args, **callback_kwargs)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/viewsets.py" in view
78. return self.dispatch(request, *args, **kwargs)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/django/views/decorators/csrf.py" in wrapped_view
77. return view_func(*args, **kwargs)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/views.py" in dispatch
399. response = self.handle_exception(exc)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/views.py" in dispatch
396. response = handler(request, *args, **kwargs)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/mixins.py" in list
92. serializer = self.get_pagination_serializer(page)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/generics.py" in get_pagination_serializer
113. return pagination_serializer_class(instance=page, context=context)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/pagination.py" in __init__
85. self.fields[results_field] = object_serializer(source='object_list', **context_kwarg)
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/serializers.py" in __init__
162. self.fields = self.get_fields()
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/serializers.py" in get_fields
198. default_fields = self.get_default_fields()
File "/opt/phaidra/env/local/lib/python2.7/site-packages/rest_framework/serializers.py" in get_default_fields
599. while pk_field.rel and pk_field.rel.parent_link:
Exception Type: AttributeError at /users/
Exception Value: 'IdLookup' object has no attribute 'rel'
I am rather new on the Python/Django/REST service area. I hope someone could help. Thanks in advance.
Firstly I would recommend to either use Tastypie - which is out of the box supported by neo4django - instead of Django Rest Framework - or use Django Rest Framework Serializer instead of the ModelSerializer or (worst choice in my opinion) HyperlinkedModelSerializer.
As for the error you get, the problem is that neo4django does not return the record id, therefore you get the error.
One solution is to override the restore_object function, like this, to include the ID.
# User Serializer
class UserSerializer(serializers.Serializer):
id = serializers.IntegerField()
username = serializers.CharField(max_length=30)
first_name = serializers.CharField(max_length=30)
last_name = serializers.CharField(max_length=30)
email = serializers.EmailField()
password = serializers.CharField(max_length=128)
is_staff = serializers.BooleanField()
is_active = serializers.BooleanField()
is_superuser = serializers.BooleanField()
last_login = serializers.DateTimeField()
date_joined = serializers.DateTimeField()
def restore_object(self, attrs, instance=None):
"""
Given a dictionary of deserialized field values, either update
an existing model instance, or create a new model instance.
"""
if instance is not None:
instance.id = attrs.get('ID', instance.pk)
instance.username = attrs.get('Username', instance.username)
instance.first_name = attrs.get('First Name', instance.first_name)
instance.last_name = attrs.get('First Name', instance.last_name)
instance.email = attrs.get('email', instance.email)
instance.password = attrs.get('Password', instance.password)
instance.is_staff = attrs.get('Staff', instance.is_staff)
instance.is_active = attrs.get('Active', instance.is_active)
instance.is_superuser = attrs.get('Superusers', instance.is_superuser)
instance.last_login = attrs.get('Last Seen', instance.last_login)
instance.date_joined = attrs.get('Joined', instance.date_joined)
return instance
return User(**attrs)
But I still think it's better to use Tastypie with ModelResource.
Here's a gist by Matt Luongo (or Lukas Martini ?) https://gist.github.com/mhluongo/5789513
TIP. Where Serializer in Django Rest Framework, is Resource in Tastypie and always make sure you are using the github version of neo4django (pip install -e git+https://github.com/scholrly/neo4django/#egg=neo4django)