Python Way Of Polling Longrunning Operations From Operation Name In Google Cloud?
I'm calling a Google Cloud Function that returns an Operation object implementing the google.longrunning.Operations interface. I want to poll this operation from another Python pro
Solution 1:
Update for more recent clients. You need to refresh the operation using the OperationClient:
For updating an existing operation you will need to pass the channel across to the OperationClient.
For example, backing up a Firestore datastore.
from google.cloud import firestore_admin_v1
from google.api_core import operations_v1, grpc_helpers
import time
def main():
client = firestore_admin_v1.FirestoreAdminClient()
channel = grpc_helpers.create_channel(client.SERVICE_ADDRESS)
api = operations_v1.OperationsClient(channel)
db_path = client.database_path('myproject', 'mydb')
operation = client.export_documents(db_path)
current_status = api.get_operation(operation.name)
while current_status.done == False:
time.sleep(5)
current_status = api.get_operation(operation.name)
print('waiting to complete')
print('operation done')
Solution 2:
In my case, The AutoML Tables Client didn't have a SERVICE_ADDRESS
or SCOPE
properties, so I can't create a new gRPC channel.
But using the existing one in the client seems to work!
from google.api_core import operations_v1
from google.cloud.automl_v1beta1 import TablesClient
automl_tables_client = TablesClient(
credentials=...,
project=...,
region=...,
)
operation_name = ""
grpc_channel = automl_tables_client.auto_ml_client.transport._channel
api_client = operations_v1.OperationsClient(grpc_channel)
response = api_client.get_operation(operation_name)
Solution 3:
You can use the get_operation
method of the "Long-Running Operations Client":
from google.api_core import operations_v1
api = operations_v1.OperationsClient()
name = ...
response = api.get_operation(name)
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