gcloud auth print-access-token gives me a Bearer token that I can use later on; however, this is a shell command. How would I obtain one programmatically via the Google Cloud Python API?
I see a prior example using oauth2client, but oauth2client is now deprecated. How would I do this with google.auth and oauthlib?
The answer depends on your environment and how you want to create / obtain credentials.
What are Google Cloud Credentials?
Google Cloud credentials are an OAuth 2.0 token. This token has at a minimum an Access Token and optionally a Refresh Token, Client ID Token, and supporting parameters such as expiration, Service Account Email or Client Email, etc.
The important item in Google Cloud APIs is the Access Token. This token is what authorizes access to the cloud. This token can be used in programs such as curl, software such as python, etc and does not require an SDK. The Access Token is used in the HTTP Authorization header.
What is an Access Token?
An access token is an opaque value generated by Google that is derived from a Signed JWT, more correctly called JWS. A JWT consists of a header and claims (the payload) Json structures. These two Json structures are signed with the Service Account's Private Key. These values are base64 encoded and concatenated to create the Access Key.
The format of an Access Token is: base64(header) + '.' + base64(payload) + '.' + base64(signature).
Here is an example JWT:
Header:
{
"alg": "RS256",
"typ": "JWT",
"kid": "42ba1e234ac91ffca687a5b5b3d0ca2d7ce0fc0a"
}
Payload:
{
"iss": "myservice@myproject.iam.gserviceaccount.com",
"iat": 1493833746,
"aud": "myservice.appspot.com",
"exp": 1493837346,
"sub": "myservice@myproject.iam.gserviceaccount.com"
}
Using an Access Token:
Example that will start a VM instance. Replace PROJECT_ID, ZONE and INSTANCE_NAME. This example is for Windows.
curl -v -X GET -H "Authorization: Bearer <access_token_here>" ^
https://www.googleapis.com/compute/v1/projects/%PROJECT_ID%/zones/%ZONE%/instances/%INSTANCE_NAME%/start
Compute Engine Service Account:
Dustin's answer is correct for this case, but I will include for completeness with some additional information.
These credentials are automatically created for you by GCP and are obtained from the VM Instance metadata. Permissions are controlled by Cloud API access scopes in the Google Console.
However, these credentials have some limitations. To modify the credentials you must stop the VM Instance first. Additionally, not all permissions (roles) are supported.
from google.auth import compute_engine
cred = compute_engine.Credentials()
Service Account Credentials:
Until you understand all of the types of credentials and their use cases, these are the credentials that you will use for everything except for gcloud and gsutil. Understanding these credentials will make working with Google Cloud much simpler when writing programs. Obtaining credentials from a Google Service Account Json file is easy. The only item to make note of is that credentials expire (typically 60 minutes) and either need to be refreshed or recreated.
gcloud auth print-access-token is NOT recommended. Service Account Credentials are the recommended method by Google.
These credentials are created by the Console, gcloud or via programs / APIs. Permissions are assigned to the creditials by IAM and function inside Compute Engine, App Engine, Firestore, Kubernetes, etc. as well as other environments outside of Google Cloud. These credentials are downloaded from Google Cloud and stored in a Json file. Notice the scopes parameter. This defines permissions that are granted to the resulting credentials object.
SCOPES = ['https://www.googleapis.com/auth/sqlservice.admin']
SERVICE_ACCOUNT_FILE = 'service-account-credentials.json'
from google.oauth2 import service_account
cred = service_account.Credentials.from_service_account_file(
SERVICE_ACCOUNT_FILE, scopes=SCOPES)
Google OAuth 2.0 Credentials:
These credentials are derived from a full OAuth 2.0 flow. These credentials are generated when your browser is launched to access Google Accounts for authorizing access. This process is much more complicated and requires a fair amount of code to implement and requires a built-in web server for the callback for authorization.
This method provides additional features such as being able to run everything in a browser, example you can create a Cloud Storage File Browser, but be careful that you understand the security implications. This method is the technique used to support Google Sign-In, etc. I like to use this method to authenticate users before allowing posting on websites, etc. The possibilities are endless with correctly authorized OAuth 2.0 identities and scopes.
Example code using google_auth_oauthlib:
from google_auth_oauthlib.flow import InstalledAppFlow
flow = InstalledAppFlow.from_client_secrets_file(
'client_secrets.json',
scopes=scope)
cred = flow.run_local_server(
host='localhost',
port=8088,
authorization_prompt_message='Please visit this URL: {url}',
success_message='The auth flow is complete; you may close this window.',
open_browser=True)
Example code using the requests_oauthlib library:
from requests_oauthlib import OAuth2Session
gcp = OAuth2Session(
app.config['gcp_client_id'],
scope=scope,
redirect_uri=redirect_uri)
# print('Requesting authorization url:', authorization_base_url)
authorization_url, state = gcp.authorization_url(
authorization_base_url,
access_type="offline",
prompt="consent",
include_granted_scopes='true')
session['oauth_state'] = state
return redirect(authorization_url)
# Next section of code after the browser approves the request
token = gcp.fetch_token(
token_url,
client_secret=app.config['gcp_client_secret'],
authorization_response=request.url)