I need to use twilio on a code and I would like to know where or how, in the example below, do I add the proxy settings?
from twilio.rest import Client
# Your Account SID from twilio.com/console
account_sid = "ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
# Your Auth Token from twilio.com/console
auth_token = "your_auth_token"
client = Client(account_sid, auth_token)
message = client.messages.create(
to="+15558675309",
from_="+15017250604",
body="Hello from Python!")
print(message.sid)
Please advise.
Related
I want to pull emails by Graph API from client inbox using python.
I started with a tutorial and successfully experimented over my personal inbox.
My problem,
Every time my code generates an authorization URL.
I have to browse through it (using web browser library) , sign in using my credentials and copy paste the authorization code for generating access token.
Which is a lot of manual work every time.
Question :
Is there a way to automate the whole process of token generation ?
Such that my client only shares his application id and client secret, and email is pulled without his sign in credentials ?
My code is attached below -
import msal
from msal import PublicClientApplication
import webbrowser
import requests
import pandas as pd
APPLICATION_ID="app id"
CLIENT_SECRET="client secret"
authority_url='https://login.microsoftonline.com/common/'
base_url = 'https://graph.microsoft.com/v1.0/'
endpoint_url = base_url+'me'
SCOPES = ['Mail.Read','Mail.ReadBasic']
client_instance = msal.ConfidentialClientApplication(client_id = APPLICATION_ID,client_credential = CLIENT_SECRET,authority = authority_url)
authorization_request_url=client_instance.get_authorization_request_url(SCOPES)
#print(authorization_request_url)
# browsing authorization request URL for retrieving authorization code.
webbrowser.open(authorization_request_url,new=True)
# Manually pasting authorization code.
authorization_code='authorization code from authorization URL'
access_token = client_instance.acquire_token_by_authorization_code(code=authorization_code,scopes=SCOPES)
access_token_id=access_token['access_token']
# Rest of the codes are for hitting the end point and retrieving the messages
Any help with code suggestions will be much appreciated.
Thanks in advance
If you would like to authenticate only with a clientId and clientSecret, without any user context, you should leverage a client credentials flow.
You can check this official MS sample that uses the same MSAL library to handle the client credentials flow. It is quite straightforward, as you can see below:
import sys # For simplicity, we'll read config file from 1st CLI param sys.argv[1]
import json
import logging
import requests
import msal
# Optional logging
# logging.basicConfig(level=logging.DEBUG)
config = json.load(open(sys.argv[1]))
# Create a preferably long-lived app instance which maintains a token cache.
app = msal.ConfidentialClientApplication(
config["client_id"], authority=config["authority"],
client_credential=config["secret"],
# token_cache=... # Default cache is in memory only.
# You can learn how to use SerializableTokenCache from
# https://msal-python.rtfd.io/en/latest/#msal.SerializableTokenCache
)
# The pattern to acquire a token looks like this.
result = None
# Firstly, looks up a token from cache
# Since we are looking for token for the current app, NOT for an end user,
# notice we give account parameter as None.
result = app.acquire_token_silent(config["scope"], account=None)
if not result:
logging.info("No suitable token exists in cache. Let's get a new one from AAD.")
result = app.acquire_token_for_client(scopes=config["scope"])
if "access_token" in result:
# Calling graph using the access token
graph_data = requests.get( # Use token to call downstream service
config["endpoint"],
headers={'Authorization': 'Bearer ' + result['access_token']}, ).json()
print("Graph API call result: ")
print(json.dumps(graph_data, indent=2))
else:
print(result.get("error"))
print(result.get("error_description"))
print(result.get("correlation_id")) # You may need this when reporting a bug
The sample is retrieving a list of users from MS Graph, but it should be just a matter of adapting it to retrieve the list of emails of a specific user by changing the "endpoint" parameter in the parameters.json file to:
"endpoint": "https://graph.microsoft.com/v1.0/users//users/{id | userPrincipalName}/messages"
You can check here more information regarding the MS Graph request to list emails.
register your app
get your tenant id from azure portal and disable mfa
application_id = "xxxxxxxxxx"
client_secret = "xxxxxxxxxxxxx"
#authority_url = "xxxxxxxxxxx"
authority_url = 'xxxxxxxxxxxxxxxxxxxx'
base_url = "https://graph.microsoft.com/v1.0/"
endpoint = base_url+"me"
scopes = ["User.Read"]
tenant_id = "xxxxxxxxxxxx"
token_url = 'https://login.microsoftonline.com/'+tenant_id+'/oauth2/token'
token_data = {
'grant_type': 'password',
'client_id': application_id,
'client_secret': client_secret,
'resource': 'https://graph.microsoft.com',
'scope':'https://graph.microsoft.com',
'username':'xxxxxxxxxxxxxxxx', # Account with no 2MFA
'password':'xxxxxxxxxxxxxxxx',
}
token_r = requests.post(token_url, data=token_data)
token = token_r.json().get('access_token')
print(token)
I want to access the listed websites data in the Google Search Console using the Google Sign-In access_token (that one can get as the response when using Google Sign-In).
But, the thing is I can access that data only by using the authorization_code that can be copied from the OAuth2-Consent screen by going to the generated authorize_url and signing in using the registered Google account.
Here's the minimum reproducible version of the code:
from oauth2client.client import OAuth2WebServerFlow
import httplib2
from apiclient.discovery import build
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'
OAUTH_SCOPE = 'https://www.googleapis.com/auth/webmasters.readonly'
REDIRECT_URI = 'urn:ietf:wg:oauth:2.0:oob'
flow = OAuth2WebServerFlow(CLIENT_ID, CLIENT_SECRET, OAUTH_SCOPE, redirect_uri=REDIRECT_URI)
authorize_url = flow.step1_get_authorize_url()
print ('Go to the following link in your browser: ' + authorize_url)
code = input('Enter verification code: ').strip()
credentials = flow.step2_exchange(code)
http = httplib2.Http()
http = credentials.authorize(http)
webmasters_service = build('webmasters', 'v3', http=http)
def get_property_list(webmasters_service):
'''
Get a list of validated properties from GSC
'''
site_list = webmasters_service.sites().list().execute()
# Filter for verified websites
verified_sites_urls = [s['siteUrl'] for s in site_list['siteEntry']
if s['permissionLevel'] != 'siteUnverifiedUser'
and s['siteUrl'][:4] == 'http']
return verified_sites_urls
print({"available_websites": get_property_list(webmasters_service)})
Consider that I'll be provided with the Google Sign-In access-token as the request-parameter from another server which has implemented Google Sign-In feature.
So, again my question is how can I access the same data using that token instead of manually getting the auth_code from the OAuth2 consent screen ?
I have followed the documentation shared by DaImTo in the comments above. And modified the code as shown below:
from oauth2client.client import OAuth2WebServerFlow
import httplib2
from apiclient.discovery import build
from oauth2client import tools, file
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'
OAUTH_SCOPE = 'https://www.googleapis.com/auth/webmasters.readonly'
REDIRECT_URI = 'urn:ietf:wg:oauth:2.0:oob'
# Acquire and store oauth token.
storage = file.Storage('token.json')
credentials = storage.get()
if credentials is None or credentials.invalid:
flow = OAuth2WebServerFlow(CLIENT_ID, CLIENT_SECRET, OAUTH_SCOPE, redirect_uri=REDIRECT_URI)
authorize_url = flow.step1_get_authorize_url()
credentials = tools.run_flow(flow, storage)
http = httplib2.Http()
http = credentials.authorize(http)
webmasters_service = build('webmasters', 'v3', http=http)
def get_property_list(webmasters_service):
'''
Get a list of validated properties from GSC
'''
site_list = webmasters_service.sites().list().execute()
# Filter for verified websites
verified_sites_urls = [s['siteUrl'] for s in site_list['siteEntry']
if s['permissionLevel'] != 'siteUnverifiedUser'
and s['siteUrl'][:4] == 'http']
return verified_sites_urls
print({"available_websites": get_property_list(webmasters_service)})
It's working fine now, without any manual interaction for copying and pasting the authorization_code from the OAuth2-Consent screen.
I'm trying to make requests to the Google API to create source repositories using a service account and his JSON key file.
Since there are no client libraries for this product, I am using the queries with Python using this documentation
https://cloud.google.com/source-repositories/docs/reference/rest
I already used a similar code to invoke my cloud-functions with success, but this time I'm block for these requests at the 401 error. I set up the GOOGLE_APPLICATION_CREDENTIALS with the JSON of my service account, give the service-account the permissions of Source Repository Administrator, but still return 401.
Here's my code
import urllib.request
import json
import urllib
import google.auth.transport.requests
import google.oauth2.id_token
body = { "name" : "projects/$my_project_name/repos/$name_repo"}
jsondata = json.dumps(body).encode("utf8")
req = urllib.request.Request('https://sourcerepo.googleapis.com/v1/projects/$my_project_name/repos')
req.add_header('Content-Type', 'application/json; charset=utf-8')
auth_req = google.auth.transport.requests.Request()
id_token = google.oauth2.id_token.fetch_id_token(auth_req, 'https://www.googleapis.com/auth/cloud-platform')
req.add_header("Authorization", f"Bearer {id_token}")
response = urllib.request.urlopen(req, jsondata)
print (response.read().decode())
I tried also using the with an API-KEY at the end of the url like this
req = urllib.request.Request('https://sourcerepo.googleapis.com/v1/projects/$my_project_name/repos?key=$my-api-key')
Thank you
I tried also using the with an API-KEY at the end of the url like this
API Keys are not supported.
Your code is using an OIDC Identity Token instead of an OAuth Acess Token.
from google.oauth2 import service_account
credentials = service_account.Credentials.from_service_account_file(
'/path/to/key.json',
scopes=['https://www.googleapis.com/auth/cloud-platform'])
request = google.auth.transport.requests.Request()
credentials.refresh(request)
// Use the following code to add the access token:
req.add_header("Authorization", f"Bearer {credentials.token}")
Maybe this is a dumb question but for web3.js there is the option to use another API service Ankr, instead of Infura. Ankr gives access to BSC network which has lower fees. I cannot seem to figure out how to connect to Ankr through python web3 as it requires authentication with a username and password. It returns false when I run the python code. I am not sure which keys I am suppose to use for web3.py, or possibly the syntax for the call is wrong, when I use the requests library everything works fine so it is not an issue with the address.
# Python Code Unsuccessful
Ankr_bsc_url = 'https............'
web3 = Web3(Web3.HTTPProvider(Ankr_bsc_url, request_kwargs={'headers': {'Username': user, 'Password': password}}))
print(web3.isConnected())
//Node.js Code web3.js Works
const web3Provider = new Web3.providers.WebsocketProvider(url, {
headers: { authorization: `Basic ${Buffer.from(`${user}:${password}`).toString('base64')}`}
})
You should save the headers on a Session object, and pass it as a parameter of HTTPProvider
from web3 import Web3
import requests
s = requests.Session()
s.headers.update({'authorization': 'Basic ZZZZ'})
# HTTPProvider:
w3 = Web3(Web3.HTTPProvider('https://apis.ankr.com/XXXX/YYYY/binance/full/main', session=s))
w3.isConnected()
In my case w3.isConnected return True
I found the method below worked well when connecting to the "Basic authentication" method which required a username and password.
Alternatively, using the "Token" method did not require a username and password and that also successfully gives you an Ankr API endpoint.
from web3 import Web3
import requests
import base64
ankr_eth_url = 'INSERT_ANKR_API_ENDPOINT'
s = requests.Session()
# Make sure to use the Project Username and not your log-in username
# myProjectUsername:password
upass = "myProjectUsername:12345678".encode("ascii")
b64 = base64.b64encode(upass).decode("ascii")
s.headers.update({'Authorization': 'Basic ' + b64})
w3 = Web3(Web3.HTTPProvider(ankr_eth_url, session=s))
print(w3.isConnected())
I'm trying to get a POST requests through python. Server side dev provided me with an auth key ie: short124 and a long key. They were generated by Mohawk library. Dev from server side gave me a code example:
import requests
from mohawk import Sender
creds = {'id': short,'key':very_long_key,'algorithm':'sha256'}
auth_session = Sender( credentials = creds, url = url, method = 'POST',always_hash_content=False)
headers = {'Authorization' : auth_session.request_header}
r = requests.post(url,data = input, headers = headers, verify = False)
print(r)
Unfortunately I get 401 error (unauthorized) with the credentials provided,
Can anyone give me some advide?
The way it's being used seem correct. I would double check the credentials and the url.
Also consider using Black it will make code formatting a breeze.