How do I use google.oauth2 python library?

Question

I'm trying to just make a simple rest call to a secure predict endpoint for a google machine learning project but it can't find the google.oauth2 module. This is my code:

import urllib2 from google.oauth2 import service_account # Constants ENDPOINT_URL = 'ml.googleapis.com/v1/projects/{project}/models/{model}:predict?access_token=' SCOPES = ['https://www.googleapis.com/auth/sqlservice.admin'] SERVICE_ACCOUNT_FILE = 'service.json' credentials = service_account.Credentials.from_service_account_file(SERVICE_ACCOUNT_FILE, scopes=SCOPES) access_token=credentials.get_access_token() opener = urllib2.build_opener(urllib2.HTTPHandler) request = urllib2.Request(ENDPOINT_URL) request.get_method = lambda: 'POST' result = opener.open(request).read() print(str(result)) 

When I run this I get this error:

Traceback (most recent call last): File "wakeUpMLServer.py", line 30, in <module> from google.oauth2 import service_account ImportError: No module named oauth2 

I installed the google-api-python-client library using pip (from instructions here: https://developers.google.com/api-client-library/python/apis/oauth2/v1). The install said it was successful. Python version: 2.7.6 Pip version: 1.5.4

In case it is somehow conflicting you should know I also do protobuf file processing on the same server, so I have the protobufs library installed as well. When I do pip list it shows both libraries:

google-api-python-client (1.6.7) protobuf (3.1.0.post1) 

Is there some special way I should be installing the module? How do I verify that the module was installed? Is there any simpler way to just make a simple rest call to a secured ml endpoint that just uses the Rest API and no python?

Answer 1

The google-oauth2 module definitely exists, so maybe it was never installed.

Do you have the google-auth package installed? Try executing

pip install --upgrade google-auth

and then run your code again.

Answer 2

Install Google API python packages,

pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib

then you can use the oauth2 Credentials (make sure service_account.json is in the same directory as your script)

import json from googleapiclient.discovery import build from google.oauth2.service_account import Credentials service_account_info = json.load(open('service_account.json')) credentials = Credentials.from_service_account_info( self.service_account_info, scopes=SCOPES) drive_service = build('drive', 'v3', credentials=credentials) 

For a more complete tutorial visit, https://developers.google.com/docs/api/quickstart/python

Answer 3

I am recently testing out calling the YouTube API v3 from Python (transitioning from Rust), and I initially struggled with this, as the Google Docs on the usage are not too clear.

I got tips after referencing the Quickstart Section in Python:

• https://developers.google.com/docs/api/quickstart/python

Here is my Python version:

$ python Python 3.11.2 

To start out with, first I ran pip install to install the following Python modules:

pip install \ google-api-python-client~=2.85.0 \ google-auth-oauthlib~=1.0.0 \ google-auth-httplib2~=0.1.0 

Once those dependencies are installed (in a virtual environment, preferrably) the rest is rather straightforward.

First set up an OAuth app and ensure you have a client_secret.json file to work with. Place this file in the same directory as the Python script below.

Now, you can use this script to test -- replacing VIDEO_ID with the YouTube video ID (visibility: private) under your personal channel or account.

""" Script to retrieve info on a (Private) video in an owned YT channel. See: https://developers.google.com/docs/api/quickstart/python """ from pathlib import Path from google.auth.transport.requests import Request from google.oauth2.credentials import Credentials from google_auth_oauthlib.flow import InstalledAppFlow from googleapiclient.discovery import build # Enter a Video ("Private" visibility) in your YT Channel, for testing purposes VIDEO_ID = 'REPLACE-ME' # Parent Folder of this Python Script SCRIPT_DIR = Path(__file__).parent # The CLIENT_SECRET_FILE variable specifies the name of a file that contains # the OAuth 2.0 information for this application, including its client_id and # client_secret. You can acquire an OAuth 2.0 client ID and client secret from # the Google API Console at # https://console.cloud.google.com/. # Please ensure that you have enabled the YouTube Data API for your project. # For more information about using OAuth2 to access the YouTube Data API, see: # https://developers.google.com/youtube/v3/guides/authentication # For more information about the client_secrets.json file format, see: # https://developers.google.com/api-client-library/python/guide/aaa_client_secrets CLIENT_SECRET_FILE = str(SCRIPT_DIR / 'client_secret.json') # The file token.json stores the user's access and refresh tokens. TOKEN_FILE = SCRIPT_DIR / 'token.json' # OAuth 2.0 access scopes. YOUTUBE_READ_ONLY_SCOPE = "https://www.googleapis.com/auth/youtube.readonly" YOUTUBE_WRITE_SCOPE = "https://www.googleapis.com/auth/youtube.force-ssl" SCOPES = [YOUTUBE_READ_ONLY_SCOPE, YOUTUBE_WRITE_SCOPE] # API information YOUTUBE_API_SERVICE_NAME = "youtube" YOUTUBE_API_VERSION = "v3" def main(): # API client youtube = get_authenticated_service() # Query for an owned video response = youtube.videos().list( part="id", id=VIDEO_ID, ).execute() # Print the result print(response) def get_authenticated_service(): creds = None # The file token.json stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. if TOKEN_FILE.exists(): creds = Credentials.from_authorized_user_file(str(TOKEN_FILE), SCOPES) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: flow = InstalledAppFlow.from_client_secrets_file( CLIENT_SECRET_FILE, scopes=SCOPES, ) creds = flow.run_local_server(port=0) # Save the credentials for the next run TOKEN_FILE.write_text(creds.to_json()) return build( YOUTUBE_API_SERVICE_NAME, YOUTUBE_API_VERSION, credentials=creds, ) if __name__ == '__main__': main()