Source code for airflow.providers.google.cloud.sensors.dataplex

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"""This module contains Google Dataplex sensors."""

from __future__ import annotations

import time
from typing import TYPE_CHECKING, Sequence

if TYPE_CHECKING:
    from google.api_core.retry import Retry

    from airflow.utils.context import Context

from google.api_core.exceptions import GoogleAPICallError
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.cloud.dataplex_v1.types import DataScanJob

from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.dataplex import (
    AirflowDataQualityScanException,
    AirflowDataQualityScanResultTimeoutException,
    DataplexHook,
)
from airflow.sensors.base import BaseSensorOperator


[docs]class TaskState: """Dataplex Task states."""
[docs] STATE_UNSPECIFIED = 0
[docs] ACTIVE = 1
[docs] CREATING = 2
[docs] DELETING = 3
[docs] ACTION_REQUIRED = 4
[docs]class DataplexTaskStateSensor(BaseSensorOperator): """ Check the status of the Dataplex task. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to. :param dataplex_task_id: Required. Task identifier. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param metadata: Additional metadata that is provided to the method. :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). """
[docs] template_fields = ["dataplex_task_id"]
def __init__( self, project_id: str, region: str, lake_id: str, dataplex_task_id: str, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.lake_id = lake_id self.dataplex_task_id = dataplex_task_id self.api_version = api_version self.retry = retry self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain
[docs] def poke(self, context: Context) -> bool: self.log.info("Waiting for task %s to be %s", self.dataplex_task_id, TaskState.ACTIVE) hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) task = hook.get_task( project_id=self.project_id, region=self.region, lake_id=self.lake_id, dataplex_task_id=self.dataplex_task_id, retry=self.retry, metadata=self.metadata, ) task_status = task.state if task_status == TaskState.DELETING: message = f"Task is going to be deleted {self.dataplex_task_id}" raise AirflowException(message) self.log.info("Current status of the Dataplex task %s => %s", self.dataplex_task_id, task_status) return task_status == TaskState.ACTIVE
[docs]class DataplexDataQualityJobStatusSensor(BaseSensorOperator): """ Check the status of the Dataplex DataQuality job. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param data_scan_id: Required. Data Quality scan identifier. :param job_id: Required. Job ID. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param metadata: Additional metadata that is provided to the method. :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 result_timeout: Value in seconds for which operator will wait for the Data Quality scan result. Throws exception if there is no result found after specified amount of seconds. :param fail_on_dq_failure: If set to true and not all Data Quality scan rules have been passed, an exception is thrown. If set to false and not all Data Quality scan rules have been passed, execution will finish with success. :return: Boolean indicating if the job run has reached the ``DataScanJob.State.SUCCEEDED``. """
[docs] template_fields = ["job_id"]
def __init__( self, project_id: str, region: str, data_scan_id: str, job_id: str, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, fail_on_dq_failure: bool = False, result_timeout: float = 60.0 * 10, start_sensor_time: float | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.data_scan_id = data_scan_id self.job_id = job_id self.api_version = api_version self.retry = retry self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain self.fail_on_dq_failure = fail_on_dq_failure self.result_timeout = result_timeout self.start_sensor_time = start_sensor_time def _duration(self): if not self.start_sensor_time: self.start_sensor_time = time.monotonic() return time.monotonic() - self.start_sensor_time
[docs] def poke(self, context: Context) -> bool: self.log.info("Waiting for job %s to be %s", self.job_id, DataScanJob.State.SUCCEEDED) if self.result_timeout: duration = self._duration() if duration > self.result_timeout: message = ( f"Timeout: Data Quality scan {self.job_id} is not ready after {self.result_timeout}s" ) raise AirflowDataQualityScanResultTimeoutException(message) hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) try: job = hook.get_data_scan_job( project_id=self.project_id, region=self.region, data_scan_id=self.data_scan_id, job_id=self.job_id, timeout=self.timeout, retry=self.retry, metadata=self.metadata, ) except GoogleAPICallError as e: message = f"Error occurred when trying to retrieve Data Quality scan job: {self.data_scan_id}" raise AirflowException(message, e) job_status = job.state self.log.info( "Current status of the Dataplex Data Quality scan job %s => %s", self.job_id, job_status ) if job_status == DataScanJob.State.FAILED: message = f"Data Quality scan job failed: {self.job_id}" raise AirflowException(message) if job_status == DataScanJob.State.CANCELLED: message = f"Data Quality scan job cancelled: {self.job_id}" raise AirflowException(message) if self.fail_on_dq_failure: if job_status == DataScanJob.State.SUCCEEDED and not job.data_quality_result.passed: message = ( f"Data Quality job {self.job_id} execution failed due to failure of its scanning " f"rules: {self.data_scan_id}" ) raise AirflowDataQualityScanException(message) return job_status == DataScanJob.State.SUCCEEDED
[docs]class DataplexDataProfileJobStatusSensor(BaseSensorOperator): """ Check the status of the Dataplex DataProfile job. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param data_scan_id: Required. Data Quality scan identifier. :param job_id: Required. Job ID. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param metadata: Additional metadata that is provided to the method. :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 result_timeout: Value in seconds for which operator will wait for the Data Quality scan result. Throws exception if there is no result found after specified amount of seconds. :return: Boolean indicating if the job run has reached the ``DataScanJob.State.SUCCEEDED``. """
[docs] template_fields = ["job_id"]
def __init__( self, project_id: str, region: str, data_scan_id: str, job_id: str, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, result_timeout: float = 60.0 * 10, start_sensor_time: float | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.data_scan_id = data_scan_id self.job_id = job_id self.api_version = api_version self.retry = retry self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain self.result_timeout = result_timeout self.start_sensor_time = start_sensor_time def _duration(self): if not self.start_sensor_time: self.start_sensor_time = time.monotonic() return time.monotonic() - self.start_sensor_time
[docs] def poke(self, context: Context) -> bool: self.log.info("Waiting for job %s to be %s", self.job_id, DataScanJob.State.SUCCEEDED) if self.result_timeout: duration = self._duration() if duration > self.result_timeout: message = ( f"Timeout: Data Profile scan {self.job_id} is not ready after {self.result_timeout}s" ) raise AirflowDataQualityScanResultTimeoutException(message) hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) try: job = hook.get_data_scan_job( project_id=self.project_id, region=self.region, data_scan_id=self.data_scan_id, job_id=self.job_id, timeout=self.timeout, retry=self.retry, metadata=self.metadata, ) except GoogleAPICallError as e: message = f"Error occurred when trying to retrieve Data Profile scan job: {self.data_scan_id}" raise AirflowException(message, e) job_status = job.state self.log.info( "Current status of the Dataplex Data Profile scan job %s => %s", self.job_id, job_status ) if job_status == DataScanJob.State.FAILED: message = f"Data Profile scan job failed: {self.job_id}" raise AirflowException(message) if job_status == DataScanJob.State.CANCELLED: message = f"Data Profile scan job cancelled: {self.job_id}" raise AirflowException(message) return job_status == DataScanJob.State.SUCCEEDED

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