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from __future__ import annotations

import asyncio
from typing import Any, AsyncIterator, Sequence

from import Job, JobStatus

from import CloudBatchAsyncHook
from airflow.triggers.base import BaseTrigger, TriggerEvent

[docs]DEFAULT_BATCH_LOCATION = "us-central1"
[docs]class CloudBatchJobFinishedTrigger(BaseTrigger): """Cloud Batch trigger to check if templated job has been finished. :param job_name: Required. Name of the job. :param project_id: Required. the Google Cloud project ID in which the job was started. :param location: Optional. the location where job is executed. If set to None then the value of DEFAULT_BATCH_LOCATION will be used :param gcp_conn_id: The connection ID to use connecting to Google Cloud. :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 poll_sleep: Polling period in seconds to check for the status """ def __init__( self, job_name: str, project_id: str | None, location: str = DEFAULT_BATCH_LOCATION, gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, polling_period_seconds: float = 10, timeout: float | None = None, ): super().__init__() self.project_id = project_id self.job_name = job_name self.location = location self.gcp_conn_id = gcp_conn_id self.polling_period_seconds = polling_period_seconds self.timeout = timeout self.impersonation_chain = impersonation_chain
[docs] def serialize(self) -> tuple[str, dict[str, Any]]: """Serializes class arguments and classpath.""" return ( "", { "project_id": self.project_id, "job_name": self.job_name, "location": self.location, "gcp_conn_id": self.gcp_conn_id, "polling_period_seconds": self.polling_period_seconds, "timeout": self.timeout, "impersonation_chain": self.impersonation_chain, }, )
[docs] async def run(self) -> AsyncIterator[TriggerEvent]: """ Main loop of the class in where it is fetching the job status and yields certain Event. If the job has status success then it yields TriggerEvent with success status, if job has status failed - with error status and if the job is being deleted - with deleted status. In any other case Trigger will wait for specified amount of time stored in self.polling_period_seconds variable. """ timeout = self.timeout hook = self._get_async_hook() try: while timeout is None or timeout > 0: job: Job = await hook.get_batch_job(job_name=self.job_name) status: JobStatus.State = job.status.state if status == JobStatus.State.SUCCEEDED: yield TriggerEvent( { "job_name": self.job_name, "status": "success", "message": "Job completed", } ) return elif status == JobStatus.State.FAILED: yield TriggerEvent( { "job_name": self.job_name, "status": "error", "message": f"Batch job with name {self.job_name} has failed its execution", } ) return elif status == JobStatus.State.DELETION_IN_PROGRESS: yield TriggerEvent( { "job_name": self.job_name, "status": "deleted", "message": f"Batch job with name {self.job_name} is being deleted", } ) return else:"Current job status is: %s", status)"Sleeping for %s seconds.", self.polling_period_seconds) if timeout is not None: timeout -= self.polling_period_seconds if timeout is None or timeout > 0: await asyncio.sleep(self.polling_period_seconds) except Exception as e: self.log.exception("Exception occurred while checking for job completion.") yield TriggerEvent({"status": "error", "message": str(e)}) return self.log.exception(f"Job with name [{self.job_name}] timed out") yield TriggerEvent( { "job_name": self.job_name, "status": "timed out", "message": f"Batch job with name {self.job_name} timed out", } )
def _get_async_hook(self) -> CloudBatchAsyncHook: return CloudBatchAsyncHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, )

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