Python example demonstrating the Google Cloud Compute Recommender list recommendations api

recommender_example.py

# pip install google-cloud-recommender

from google.cloud import recommender
import os

# Enter values for your Project ID and Zone
PROJECT=
LOCATION=

RECOMMENDER = 'google.compute.instance.MachineTypeRecommender'

def print_recommendations():
	client = recommender.RecommenderClient()

	parent = client.recommender_path(PROJECT, LOCATION, RECOMMENDER)

	recommendations = client.list_recommendations(parent=parent)

	for recommendation in recommendations:
		print('Recommendation:')
		print('  Description:     ', recommendation.description)
		print('  Impact Category: ', recommendation.primary_impact.category)
		print('  Currency Code:   ', recommendation.primary_impact.cost_projection.cost.currency_code)
		print('  Units:           ', recommendation.primary_impact.cost_projection.cost.units)
		print('  State:           ', recommendation.state_info.state)
		print('')

		for op_group in recommendation.content._pb.operation_groups:
			for operation in op_group.operations:
				print('  Operation:')
				print('    Action:            ', operation.action)
				print('    Resource Type:     ', operation.resource_type)
				print('    Path:              ', operation.path)
				print('    Value:             ', operation.value.string_value)
				print('')
print_recommendations()