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# Copyright 2021 Google LLC

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

import os

def execute_workflow(

project, location="us-central1", workflow="myFirstWorkflow"

):

"""Execute a workflow and print the execution results."""

# [START workflows_api_quickstart]

import time

from google.cloud import workflows_v1beta

from google.cloud.workflows import executions_v1beta

from google.cloud.workflows.executions_v1beta.types import executions

# TODO(developer): Uncomment these lines and replace with your values.

# project = 'my-project-id'

# location = 'us-central1'

# workflow = 'myFirstWorkflow'

if not project:

raise Exception('GOOGLE_CLOUD_PROJECT env var is required.')

# Set up API clients.

execution_client = executions_v1beta.ExecutionsClient()

workflows_client = workflows_v1beta.WorkflowsClient()

# Construct the fully qualified location path.

parent = workflows_client.workflow_path(project, location, workflow)

# Execute the workflow.

response = execution_client.create_execution(request={"parent": parent})

print(f"Created execution: {response.name}")

# Wait for execution to finish, then print results.

execution_finished = False

backoff_delay = 1 # Start wait with delay of 1 second

print('Poll every second for result...')

while (not execution_finished):

execution = execution_client.get_execution(request={"name": response.name})

execution_finished = execution.state != executions.Execution.State.ACTIVE

# If we haven't seen the result yet, wait a second.

if not execution_finished:

print('- Waiting for results...')

time.sleep(backoff_delay)

backoff_delay *= 2 # Double the delay to provide exponential backoff.

else:

print(f'Execution finished with state: {execution.state.name}')

print(execution.result)

return execution.result

# [END workflows_api_quickstart]

if __name__ == "__main__":

project = os.environ.get('GOOGLE_CLOUD_PROJECT')

execute_workflow(project=project)