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# 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.

# [START workflows_api_quickstart]

import time

from google.cloud import workflows_v1

from google.cloud.workflows import executions_v1

from google.cloud.workflows.executions_v1 import Execution

from google.cloud.workflows.executions_v1.types import executions

def execute_workflow(

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

) -> Execution:

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

A workflow consists of a series of steps described using the Workflows syntax, and can be written in either YAML or JSON.

Args:

project: The Google Cloud project id which contains the workflow to execute.

location: The location for the workflow

workflow: The ID of the workflow to execute.

Returns:

The execution response.

"""

# [START workflows_api_quickstart_client_libraries]

# Set up API clients.

execution_client = executions_v1.ExecutionsClient()

workflows_client = workflows_v1.WorkflowsClient()

# [END workflows_api_quickstart_client_libraries]

# [START workflows_api_quickstart_execution]

# 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 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)

# Double the delay to provide exponential backoff.

backoff_delay *= 2

else:

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

print(f"Execution results: {execution.result}")

return execution

# [END workflows_api_quickstart_execution]

# [END workflows_api_quickstart]

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