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# to you under the Apache License, Version 2.0 (the
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#
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from __future__ import annotations
import asyncio
from typing import Any, Sequence
from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.cloud_composer import CloudComposerAsyncHook
from airflow.triggers.base import BaseTrigger, TriggerEvent
[docs]class CloudComposerExecutionTrigger(BaseTrigger):
"""The trigger handles the async communication with the Google Cloud Composer."""
def __init__(
self,
project_id: str,
region: str,
operation_name: str,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
pooling_period_seconds: int = 30,
):
super().__init__()
self.project_id = project_id
self.region = region
self.operation_name = operation_name
self.gcp_conn_id = gcp_conn_id
self.impersonation_chain = impersonation_chain
self.pooling_period_seconds = pooling_period_seconds
self.gcp_hook = CloudComposerAsyncHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
return (
"airflow.providers.google.cloud.triggers.cloud_composer.CloudComposerExecutionTrigger",
{
"project_id": self.project_id,
"region": self.region,
"operation_name": self.operation_name,
"gcp_conn_id": self.gcp_conn_id,
"impersonation_chain": self.impersonation_chain,
"pooling_period_seconds": self.pooling_period_seconds,
},
)
[docs] async def run(self):
while True:
operation = await self.gcp_hook.get_operation(operation_name=self.operation_name)
if operation.done:
break
elif operation.error.message:
raise AirflowException(f"Cloud Composer Environment error: {operation.error.message}")
await asyncio.sleep(self.pooling_period_seconds)
yield TriggerEvent(
{
"operation_name": operation.name,
"operation_done": operation.done,
}
)
[docs]class CloudComposerAirflowCLICommandTrigger(BaseTrigger):
"""The trigger wait for the Airflow CLI command result."""
def __init__(
self,
project_id: str,
region: str,
environment_id: str,
execution_cmd_info: dict,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
poll_interval: int = 10,
):
super().__init__()
self.project_id = project_id
self.region = region
self.environment_id = environment_id
self.execution_cmd_info = execution_cmd_info
self.gcp_conn_id = gcp_conn_id
self.impersonation_chain = impersonation_chain
self.poll_interval = poll_interval
self.gcp_hook = CloudComposerAsyncHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
return (
"airflow.providers.google.cloud.triggers.cloud_composer.CloudComposerAirflowCLICommandTrigger",
{
"project_id": self.project_id,
"region": self.region,
"environment_id": self.environment_id,
"execution_cmd_info": self.execution_cmd_info,
"gcp_conn_id": self.gcp_conn_id,
"impersonation_chain": self.impersonation_chain,
"poll_interval": self.poll_interval,
},
)
[docs] async def run(self):
try:
result = await self.gcp_hook.wait_command_execution_result(
project_id=self.project_id,
region=self.region,
environment_id=self.environment_id,
execution_cmd_info=self.execution_cmd_info,
poll_interval=self.poll_interval,
)
except AirflowException as ex:
yield TriggerEvent(
{
"status": "error",
"message": str(ex),
}
)
return
yield TriggerEvent(
{
"status": "success",
"result": result,
}
)
return