Source code for airflow.providers.google.cloud.sensors.cloud_composer
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"""This module contains a Cloud Composer sensor."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Sequence
from airflow.exceptions import AirflowException, AirflowSkipException
from airflow.providers.google.cloud.triggers.cloud_composer import CloudComposerExecutionTrigger
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class CloudComposerEnvironmentSensor(BaseSensorOperator):
"""
Check the status of the Cloud Composer Environment task.
:param project_id: Required. The ID of the Google Cloud project that the service belongs to.
:param region: Required. The ID of the Google Cloud region that the service belongs to.
:param operation_name: The name of the operation resource
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
:param pooling_period_seconds: Optional: Control the rate of the poll for the result of deferrable run.
"""
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,
**kwargs,
):
super().__init__(**kwargs)
self.project_id = project_id
self.region = region
self.operation_name = operation_name
self.pooling_period_seconds = pooling_period_seconds
self.gcp_conn_id = gcp_conn_id
self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> None:
"""Airflow runs this method on the worker and defers using the trigger."""
self.defer(
trigger=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,
),
method_name="execute_complete",
)
[docs] def execute_complete(self, context: dict[str, Any], event: dict[str, str] | None = None) -> str:
"""
Callback for when the trigger fires - returns immediately.
Relies on trigger to throw an exception, otherwise it assumes execution was successful.
"""
if event:
if event.get("operation_done"):
return event["operation_done"]
# TODO: remove this if check when min_airflow_version is set to higher than 2.7.1
if self.soft_fail:
raise AirflowSkipException(event["message"])
raise AirflowException(event["message"])
# TODO: remove this if check when min_airflow_version is set to higher than 2.7.1
message = "No event received in trigger callback"
if self.soft_fail:
raise AirflowSkipException(message)
raise AirflowException(message)
