I wrote the following piece of code for updating my Twitter status using Python.
import tweepy
tweet=raw_input("Enter the status that you want to update to Twitter: ")
def get_api(cfg):
auth = tweepy.OAuthHandler(cfg['consumer_key'], cfg['consumer_secret'])
auth.set_access_token(cfg['access_token'], cfg['access_token_secret'])
return tweepy.API(auth)
def main():
# Fill in the values noted in previous step here
cfg = {
"consumer_key" : "VALUE",
"consumer_secret" : "VALUE",
"access_token" : "VALUE",
"access_token_secret" : "VALUE"
}
api = get_api(cfg)
status = api.update_status(status=tweet)
if __name__ == "__main__":
main()
The code works most of the times on different machines. However, there was a problem which I have described below.
>>status = api.update_status(status=tweet)
raise TweepError('Failed to send request: %s' % e)
tweepy.error.TweepError: Failed to send request: Missing dependencies for SOCKS support.
I have created a virtual environment for my twitter application within which I have installed tweepy using pip install on Ubuntu 16.04 machine.
Any pointers will be greatly appreciated.
Thanks in advance.
Related
import logging
from binance.spot import Spot as Client
from binance.lib.utils import config_logging
from binance.error import ClientError
config_logging(logging, logging.DEBUG)
key = ""
secret = ""
params = {"product": "STAKING"}
client = Client(key, secret)
try:
response = client.staking_product_list(**params)
logging.info(response)
except ClientError as error:
logging.error(
"Found error. status: {}, error code: {}, error message: {}".format(
error.status_code, error.error_code, error.error_message
)
)
Above is the code on GitHub for Binance's API on getting the staking products. When i run it this error comes up:
from binance.spot import Spot as Client
ModuleNotFoundError: No module named 'binance.spot'
Can anyone help on this, i am quite new to api's.
original code: https://github.com/binance/binance-connector-python/blob/master/examples/spot/staking/staking_product_list.py
I do believe that this is very similar as in this thread.
https://github.com/sammchardy/python-binance/issues/47
As per solution:
Try to add the the package path into environment variables.
change the value "include-system-site-packages" in the file pyvenv.cfg of your project from "false" to "true"
Make sure you installed both 'binance' and 'python-binance' modules as discussed in
https://www.pythonanywhere.com/forums/topic/31299/
Use older version of the package
pip install python-binance==<older_version_number>
Hello Everyone,
Need your thoughts on an issue I am getting with a python script to create vpc and subnet.
My script is working fine when creating vpc, but next step of subnet creation is failing with error
googleapiclient.errors.HttpError: <HttpError 503 when requesting https://www.googleapis.com/compute/v1/projects/<projectname>/regions/us-east1/subnetworks?alt=json returned "Internal error. Please try again or contact Google Support.
I am able to create subnet from UI and from rest API page.
Here is the script code I am using for subnet creation-
def create_subnet(compute, project, region, classname):
subnetname = classname
networkpath = 'projects/<projectname>/global/networks/%s' % (classname)
ipCidrRange = "10.0.0.0/16"
config = {
"name": subnetname,
"network": networkpath,
"ipCidrRange": ipCidrRange
}
print('##### Print Config ##### %s' % (config))
return compute.subnetworks().insert(
project=project,
region=region,
body=config).execute()
```
def main(project, classname, zone, region):
compute = googleapiclient.discovery.build('compute', 'v1')
print('Creating vpc')
operation = create_vpc(compute, project, classname)
print('Creating subnet')
operation = create_subnet(compute, project, region, classname)
```
Thanks in advance for comments and suggestions.
I got the root cause of this issue. I was making subnet call without waiting for vpc create operation to complete.
Created new function to wait and call it after vpc creation step resolves the issue.
def wait_for_global_operation(compute, project, operation):
print('Waiting for operation to finish...')
while True:
result = compute.globalOperations().get(
project=project,
operation=operation).execute()
if result['status'] == 'DONE':
print("done.")
if 'error' in result:
raise Exception(result['error'])
return result
time.sleep(1)
Thanks Lozano for your comments and feedback.
This seems to be related to the a wrong label syntax. Try the following syntax for network and region:
"network":
"https://www.googleapis.com/compute/v1/projects/XXXXX/global/networks/XXXXX",
"region":
"https://www.googleapis.com/compute/v1/projects/XXXXX/regions/XXXXX"
The online API Explorer can be pretty helpful1.
Receiving the following error response when doing a basic Graph API POST using REQUESTS in Python:
{
"error": {
"code": "Authorization_RequestDenied",
"message": "Insufficient privileges to complete the operation.",
"innerError": {
"request-id": "36c01b2f-5c5c-438a-bd10-b3ebbc1a17c9",
"date": "2019-04-05T22:39:37"
}
}
}
Here is my token request and Graph request using REQUESTS in Python:
redirect_uri = "https://smartusys.sharepoint.com"
client_id = 'd259015e-****-4e99-****-aaad67057124'
client_secret = '********'
tennant_id = '15792366-ddf0-****-97cb-****'
scope = 'https://graph.microsoft.com/.default'
####GET A TOKEN
payload = "client_id="+client_id+"&scope="+scope+"&client_secret="+client_secret+"&grant_type=client_credentials"
headers = {'content-type':'application/x-www-form-urlencoded'}
tokenResponse = requests.post('https://login.microsoftonline.com/'+tennant_id+'/oauth2/v2.0/token',headers=headers, data=payload)
json_tokenObject = json.loads(tokenResponse.text)
authToken = json_tokenObject['access_token']
#### Make a call to the graph API
graphResponse = requests.get('https://graph.microsoft.com/v1.0/me/',headers={'Authorization':'Bearer '+authToken})
if tokenResponse.status_code != 200:
print('Error code: ' +graphResponse.status_code)
print(graphResponse.text)
exit()
print('Request successfull: Response: ')
print(graphResponse.text)
print('Press any key to continue...')
x=input()
According to the documentation ( https://learn.microsoft.com/en-us/graph/api/resources/users?view=graph-rest-1.0 ) for this /me call, I need just one of the following permissions:
User.ReadBasic.All
User.Read
User.ReadWrite
User.Read.All
User.ReadWrite.All
Directory.Read.All
Directory.ReadWrite.All
Directory.AccessAsUser.All
and I have all of these on both application and delegated permissions in the azure application manager.
What am I doing wrong here? I feel like it's something small but I just can't figure this out.
I decoded my token using: http://calebb.net/ and I do not see a spot for "AUD" or "role" or "scope" so maybe that is where I am doing it wrong?
I looked everywhere and can't find a resolution, any help would be VERY much appreciated.
Thank you.
This sounds like you forgot to "Grant Permissions" to your application.
See this answer.
I finally figured this out, it had to do with Admin rights that needed to be granted by the Admin for our Office 365.
it was as simple as giving my Office admin the following link and having him approve it:
https://login.microsoftonline.com/{TENNANT ID HERE}/adminconsent?client_id={CLIENT ID HERE}
Instantly worked.
I am trying to publish a machine learning model on Azure webservice using python. I am able to deploy the code successfully but when i try to call it through the URL, it's throwing me 'Azure' module doesn't exist. The code basically retrieves a TFIDF model from the container (blob) and use it to predict the new value. The error clearly says, Azure package is missing while trying to run on the webservice and I am not sure how to fix it. Here goes the code:
For deployment:
from azureml import services
from azure.storage.blob import BlobService
#services.publish('7c94eb2d9e4c01cbe7ce1063','f78QWNcOXHt9J+Qt1GMzgdEt+m3NXby9JL`npT7XX8ZAGdRZIX/NZ4lL2CkRkGQ==')
#services.types(res=unicode)
#services.returns(str)
def TechBot(res):
from azure.storage.blob import BlobService
from gensim.similarities import SparseMatrixSimilarity, MatrixSimilarity, Similarity
blob_service = BlobService(account_name='tfidf', account_key='RU4R/NIVPsPOoR0bgiJMtosHJMbK1+AVHG0sJCHT6jIdKPRz3cIMYTsrQ5BBD5SELKHUXgBHNmvsIlhEdqUCzw==')
blob_service.get_blob_to_path('techbot',"2014.csv","df")
df=pd.read_csv("df")
doct = res
To access the url I used the python code from
service.azureml.net
import urllib2
import json
import requests
data = {
"Inputs": {
"input1":
[
{
'res': "wifi wnable",
}
],
},
"GlobalParameters": {
}
}
body = str.encode(json.dumps(data))
#proxies = {"http":"http://%s" % proxy}
url = 'http://ussouthcentral.services.azureml.net/workspaces/7c94eb2de26a45399e4c01cbe7ce1063/services/11943e537e0741beb466cd91f738d073/execute?api-version=2.0&format=swagger'
api_key = '8fH9kp67pEt3C6XK9sXDLbyYl5cBNEwYg9VY92xvkxNd+cd2w46sF1ckC3jqrL/m8joV7o3rsTRUydkzRGDYig==' # Replace this with the API key for the web service
headers = {'Content-Type':'application/json', 'Authorization':('Bearer '+ api_key)}
#proxy_support = urllib2.ProxyHandler(proxies)
#opener = urllib2.build_opener(proxy_support, urllib2.HTTPHandler(debuglevel=1))
#urllib2.install_opener(opener)
req = urllib2.Request(url, body, headers)
try:
response = urllib2.urlopen(req, timeout=60)
result = response.read()
print(result)
except urllib2.HTTPError, error:
print("The request failed with status code: " + str(error.code))
# Print the headers - they include the requert ID and the timestamp, which are useful for debugging the failure
print(error.info())
print(json.loads(error.read()))
The string 'res' will be predicted at the end. As I said it runs perfectly fine if I run as it is in python by calling azure module, problem happens when I access the url.
Any help is appreciated, please let me know if you need more information (I only sohwcased half of my code)
I tried to reproduce the issue via POSTMAN, then I got the error information below as you said.
{
"error": {
"code": "ModuleExecutionError",
"message": "Module execution encountered an error.",
"details": [
{
"code": "85",
"target": "Execute Python Script RRS",
"message": "Error 0085: The following error occurred during script evaluation, please view the output log for more information:\r\n---------- Start of error message from Python interpreter ----------\r\nCaught exception while executing function: Traceback (most recent call last):\n File \"\\server\\InvokePy.py\", line 120, in executeScript\n outframe = mod.azureml_main(*inframes)\n File \"\\temp\\1280677032.py\", line 1094, in azureml_main\n File \"<ipython-input-15-bd03d199b8d9>\", line 6, in TechBot_2\nImportError: No module named azure\n\r\n\r\n---------- End of error message from Python interpreter ----------"
}
]
}
}
According to the error code 00085 & the information ImportError: No module named azure, I think the issue was caused by importing python moduleazure-storage. There was a similar SO thread Access Azure blog storage from within an Azure ML experiment which got the same issue, I think you can refer to its answer try to use HTTP protocol instead HTTPS in your code to resolve the issue as the code client = BlobService(STORAGE_ACCOUNT, STORAGE_KEY, protocol="http").
Hope it helps. Any concern & update, please feel free to let me know.
Update: Using HTTP protocol for BlobService
from azureml import services
from azure.storage.blob import BlobService
#services.publish('7c94eb2d9e4c01cbe7ce1063','f78QWNcOXHt9J+Qt1GMzgdEt+m3NXby9JL`npT7XX8ZAGdRZIX/NZ4lL2CkRkGQ==')
#services.types(res=unicode)
#services.returns(str)
def TechBot(res):
from azure.storage.blob import BlobService
from gensim.similarities import SparseMatrixSimilarity, MatrixSimilarity, Similarity
# Begin: Update code
# Using `HTTP` protocol for BlobService
blob_service = BlobService(account_name='tfidf',
account_key='RU4R/NIVPsPOoR0bgiJMtosHJMbK1+AVHG0sJCHT6jIdKPRz3cIMYTsrQ5BBD5SELKHUXgBHNmvsIlhEdqUCzw==',
protocol='http')
# End
blob_service.get_blob_to_path('techbot',"2014.csv","df")
df=pd.read_csv("df")
doct = res
Hi !
I am experiencing some issue about tweepy library for Python. The first time I launched the below script, everything perfectly worked, and the second time... the script stop unexpectedly.
I did not found anything about this behavior, the Listener is stopping after few seconds, and I do not have any error code or something.
There is the simple code:
import tweepy
import sys
import json
from textwrap import TextWrapper
from datetime import datetime
from elasticsearch import Elasticsearch
consumer_key = "hidden"
consumer_secret = "hidden"
access_token = "hidden"
access_token_secret = "hidden"
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
ES_HOST = {"host" : "localhost", "port" : 9200}
es = Elasticsearch(hosts = [ES_HOST])
class StreamListener(tweepy.StreamListener):
print('Starting StreamListener')
status_wrapper = TextWrapper(width=60, initial_indent=' ', subsequent_indent=' ')
def on_status(self, status):
try:
print 'n%s %s' % (status.author.screen_name, status.created_at)
json_data = status._json
#print json_data['text']
es.create(index="idx_twp",
doc_type="twitter_twp_nintendo",
body=json_data
)
except Exception, e:
print e
pass
print('Starting Receiving')
streamer = tweepy.Stream(auth=auth, listener=StreamListener(), timeout=3000000000)
#Fill with your own Keywords bellow
terms = ['nintendo']
streamer.filter(None,terms)
#streamer.userstream(None)
print ('Ending program')
And then there is the ouput (only 2 seconds);
[root#localhost ~]# python projects/m/twitter/twitter_logs.py
Starting StreamListener
Starting Receiving
Ending program
I am using Python 2.7.5
Any ideas about ?
Hi !
I solved this weird issue by changing my Python version to 3.5 via virtualenv. For now, it works well.
This could was due to the python version, anyway if someone have this, I just recommend to use virtualenv to test another Python version, and see what happens.
FYI : I already opened issue #759 into the github project.