GCP Cloud Function receives 'PERMISSION_DENIED' when trying to access Cloud Storage even after setting IAM roles correctly
I'm stuck trying to I'm updating my dependencies and This might be a silly question, but I'm experiencing a frustrating scenario with my GCP Cloud Function that needs to read files from a Cloud Storage bucket... I have assigned the `roles/storage.objectViewer` IAM role to the service account associated with my Cloud Function, and I've double-checked that the bucket permissions are correctly set. However, I'm getting a `PERMISSION_DENIED` behavior when my function tries to access the bucket. Here's a snippet of the code I'm using to read the file: ```python from google.cloud import storage def read_file(bucket_name, file_name): client = storage.Client() bucket = client.get_bucket(bucket_name) blob = bucket.blob(file_name) content = blob.download_as_text() return content ``` I've also confirmed that the Cloud Function is indeed running under the correct service account by including the following snippet to log the account in use: ```python import google.auth credentials, project = google.auth.default() print(f'Running as: {credentials.service_account_email}') ``` This logs the correct service account email, which matches what I've configured in IAM. Additionally, I checked the Cloud Storage bucket's IAM settings and confirmed that the service account has the necessary permissions. Despite all this, the behavior continues. I've tried redeploying the Cloud Function and refreshing the IAM settings, but it hasn't resolved the scenario. Is there something I'm overlooking or any additional permissions that might be required? Could this be related to something else, like the function's execution environment or the bucket's location? My development environment is Linux. Is there a better approach? Any examples would be super helpful. Thanks in advance! I appreciate any insights!