Google cloud get bucket – works with cli but not in python
Question:
I was asked to preform integration with an external google storage bucket, I had received a credentials json,
And while trying to do
gsutil ls gs://bucket_name (after configuring myself with the creds json) I had received a valid response, as well as when I tried to upload a file into the bucket.
When trying to do it with Python3, it does not work:
While using google-cloud-storage==1.16.0 (tried also the newer versions), I’m doing:
project_id = credentials_dict.get("project_id")
credentials = service_account.Credentials.from_service_account_info(credentials_dict)
client = storage.Client(credentials=credentials, project=project_id)
bucket = client.get_bucket(bucket_name)
But on the get_bucket line, I get:
google.api_core.exceptions.Forbidden: 403 GET https://www.googleapis.com/storage/v1/b/BUCKET_NAME?projection=noAcl: USERNAME@PROJECT_ID.iam.gserviceaccount.com does not have storage.buckets.get access to the Google Cloud Storage bucket.
The external partner which I’m integrating with, saying that the user is set correctly, and to prove it they’re showing that I can preform the action with gsutil.
Can you please assist? Any idea what might be the problem?
Answers:
Please follow these steps in order to correctly set up the Cloud Storage Client Library for Python. In general, the Cloud Storage Libraries can use Application default credentials or environment variables for authentication.
Notice that the recommended method to use would be to set up authentication using environment variables (i.e if you are using Linux: export GOOGLE_APPLICATION_CREDENTIALS="/path/to/[service-account-credentials].json" should work) and avoid the use of the service_account.Credentials.from_service_account_info() method altogether:
from google.cloud import storage
storage_client = storage.Client(project='project-id-where-the-bucket-is')
bucket_name = "your-bucket"
bucket = client.get_bucket(bucket_name)
should simply work because the authentication is handled by the client library via the environment variable.
Now, if you are interested in explicitly using the service account instead of using service_account.Credentials.from_service_account_info() method you can use the from_service_account_json() method directly in the following way:
from google.cloud import storage
# Explicitly use service account credentials by specifying the private key
# file.
storage_client = storage.Client.from_service_account_json(
'/[service-account-credentials].json')
bucket_name = "your-bucket"
bucket = client.get_bucket(bucket_name)
Find all the relevant details as to how to provide credentials to your application here.
The answer was that the creds were indeed wrong, but it did worked when I tried to preform on the client client.bucket(bucket_name) instead of client.get_bucket(bucket_name).
tl;dr: dont use client.get_bucket at all.
See for detailed explanation and solution https://stackoverflow.com/a/51452170/705745
I was asked to preform integration with an external google storage bucket, I had received a credentials json,
And while trying to do
gsutil ls gs://bucket_name (after configuring myself with the creds json) I had received a valid response, as well as when I tried to upload a file into the bucket.
When trying to do it with Python3, it does not work:
While using google-cloud-storage==1.16.0 (tried also the newer versions), I’m doing:
project_id = credentials_dict.get("project_id")
credentials = service_account.Credentials.from_service_account_info(credentials_dict)
client = storage.Client(credentials=credentials, project=project_id)
bucket = client.get_bucket(bucket_name)
But on the get_bucket line, I get:
google.api_core.exceptions.Forbidden: 403 GET https://www.googleapis.com/storage/v1/b/BUCKET_NAME?projection=noAcl: USERNAME@PROJECT_ID.iam.gserviceaccount.com does not have storage.buckets.get access to the Google Cloud Storage bucket.
The external partner which I’m integrating with, saying that the user is set correctly, and to prove it they’re showing that I can preform the action with gsutil.
Can you please assist? Any idea what might be the problem?
Please follow these steps in order to correctly set up the Cloud Storage Client Library for Python. In general, the Cloud Storage Libraries can use Application default credentials or environment variables for authentication.
Notice that the recommended method to use would be to set up authentication using environment variables (i.e if you are using Linux: export GOOGLE_APPLICATION_CREDENTIALS="/path/to/[service-account-credentials].json" should work) and avoid the use of the service_account.Credentials.from_service_account_info() method altogether:
from google.cloud import storage
storage_client = storage.Client(project='project-id-where-the-bucket-is')
bucket_name = "your-bucket"
bucket = client.get_bucket(bucket_name)
should simply work because the authentication is handled by the client library via the environment variable.
Now, if you are interested in explicitly using the service account instead of using service_account.Credentials.from_service_account_info() method you can use the from_service_account_json() method directly in the following way:
from google.cloud import storage
# Explicitly use service account credentials by specifying the private key
# file.
storage_client = storage.Client.from_service_account_json(
'/[service-account-credentials].json')
bucket_name = "your-bucket"
bucket = client.get_bucket(bucket_name)
Find all the relevant details as to how to provide credentials to your application here.
The answer was that the creds were indeed wrong, but it did worked when I tried to preform on the client client.bucket(bucket_name) instead of client.get_bucket(bucket_name).
tl;dr: dont use client.get_bucket at all.
See for detailed explanation and solution https://stackoverflow.com/a/51452170/705745