# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. """This module contains a Dataproc Job sensor.""" # pylint: disable=C0302 from airflow.exceptions import AirflowException from airflow.providers.google.cloud.hooks.dataproc import DataprocHook from airflow.sensors.base import BaseSensorOperator from airflow.utils.decorators import apply_defaults from google.cloud.dataproc_v1beta2.types import JobStatus class DataprocJobSensor(BaseSensorOperator): """ Check for the state of a previously submitted Dataproc job. :param project_id: The ID of the google cloud project in which to create the cluster. (templated) :type project_id: str :param dataproc_job_id: The Dataproc job ID to poll. (templated) :type dataproc_job_id: str :param location: Required. The Cloud Dataproc region in which to handle the request. (templated) :type location: str :param gcp_conn_id: The connection ID to use connecting to Google Cloud Platform. :type gcp_conn_id: str """ template_fields = ("project_id", "location", "dataproc_job_id") ui_color = "#f0eee4" @apply_defaults def __init__( self, *, project_id: str, dataproc_job_id: str, location: str, gcp_conn_id: str = "google_cloud_default", **kwargs, ) -> None: super().__init__(**kwargs) self.project_id = project_id self.gcp_conn_id = gcp_conn_id self.dataproc_job_id = dataproc_job_id self.location = location def poke(self, context: dict) -> bool: hook = DataprocHook(gcp_conn_id=self.gcp_conn_id) job = hook.get_job( job_id=self.dataproc_job_id, location=self.location, project_id=self.project_id, ) state = job.status.state if state == JobStatus.State.ERROR: raise AirflowException(f"Job failed:\n{job}") elif state in { JobStatus.State.CANCELLED, JobStatus.State.CANCEL_PENDING, JobStatus.State.CANCEL_STARTED, }: raise AirflowException(f"Job was cancelled:\n{job}") elif JobStatus.State.DONE == state: self.log.debug("Job %s completed successfully.", self.dataproc_job_id) return True elif JobStatus.State.ATTEMPT_FAILURE == state: self.log.debug("Job %s attempt has failed.", self.dataproc_job_id) self.log.info("Waiting for job %s to complete.", self.dataproc_job_id) return False