google-cloud-recommender

import os from google.cloud import recommender_v1 # Set your Google Cloud Project ID and a specific location project_id = os.environ.get('GCP_PROJECT_ID', 'your-project-id') location = 'global' # Recommender often uses 'global' or a specific region # Initialize the client client = recommender_v1.RecommenderClient() # Define the recommender name (e.g., for IAM policy recommendations) # Common recommenders: google.iam.policy.Recommender, google.compute.instance.MachineTypeRecommender recommender_name = f"projects/{project_id}/locations/{location}/recommenders/google.iam.policy.Recommender" # List recommendations for a given recommender try: # Iterate through the paginated results for recommendation in client.list_recommendations(parent=recommender_name): print(f"Recommendation ID: {recommendation.name.split('/')[-1]}") print(f"Description: {recommendation.description}") print(f"State: {recommendation.state_info.state.name}") if recommendation.primary_impact: print(f"Primary Impact: {recommendation.primary_impact.category.name}") print('---\n') except Exception as e: print(f"An error occurred: {e}") print("Ensure you have `recommender.recommendations.list` permission and `GCP_PROJECT_ID` is set correctly.")