def test_local_agent_start_max_polls(monkeypatch, runner_token):
on_shutdown = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.LocalAgent.on_shutdown", on_shutdown)
agent_process = MagicMock()
monkeypatch.setattr("prefect.agent.agent.Agent.agent_process", agent_process)
agent_connect = MagicMock(return_value="id")
monkeypatch.setattr("prefect.agent.agent.Agent.agent_connect", agent_connect)
heartbeat = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.LocalAgent.heartbeat", heartbeat)
agent = LocalAgent(max_polls=1)
agent.start()
assert agent_process.called
assert heartbeat.called
"""Registers f to "Monitorfich" project.
Args:
f (prefect.Flow): Prefect flow
"""
f.register(project_name)
if __name__ == "__main__":
# Initialize a client, which can interact with the Prefect orchestrator.
# The communication with the orchestrator is done through the Prefect GraphQL API.
# This API is served on localhost:4200.
print("Create client")
client = prefect.Client()
# Create the project "Monitorfish" in the orchestrator if it does not yet exist
print("Create project")
create_project_if_not_exists(client, PROJECT_NAME)
# Register all flows
print("Register flows")
for f in flows_to_register:
print(f"Register flow {f.name}")
register_flow(f, PROJECT_NAME)
# Start local "agent" process
# This process queries the Prefect GraphQL API every second to ask if any new flows
# should be run
agent = LocalAgent(show_flow_logs=True)
agent.start()
