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"""This module contains a Google BigQuery Data Transfer Service sensor."""

from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from import TransferState

from airflow.exceptions import AirflowException, AirflowSkipException
from import BiqQueryDataTransferServiceHook
from airflow.sensors.base import BaseSensorOperator

    from google.api_core.retry import Retry

    from airflow.utils.context import Context

[docs]class BigQueryDataTransferServiceTransferRunSensor(BaseSensorOperator): """ Waits for Data Transfer Service run to complete. .. seealso:: For more information on how to use this sensor, take a look at the guide: :ref:`howto/operator:BigQueryDataTransferServiceTransferRunSensor` :param expected_statuses: The expected state of the operation. See: :param run_id: ID of the transfer run. :param transfer_config_id: ID of transfer config to be used. :param project_id: The BigQuery project id where the transfer configuration should be created. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param request_timeout: The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :param metadata: Additional metadata that is provided to the method. :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). :return: An ```` instance. """
[docs] template_fields: Sequence[str] = ( "run_id", "transfer_config_id", "expected_statuses", "project_id", "impersonation_chain", )
def __init__( self, *, run_id: str, transfer_config_id: str, expected_statuses: ( set[str | TransferState | int] | str | TransferState | int ) = TransferState.SUCCEEDED, project_id: str = PROVIDE_PROJECT_ID, gcp_conn_id: str = "google_cloud_default", retry: Retry | _MethodDefault = DEFAULT, request_timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), location: str | None = None, impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.run_id = run_id self.transfer_config_id = transfer_config_id self.retry = retry self.request_timeout = request_timeout self.metadata = metadata self.expected_statuses = self._normalize_state_list(expected_statuses) self.project_id = project_id self.gcp_cloud_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain self.location = location def _normalize_state_list(self, states) -> set[TransferState]: states = {states} if isinstance(states, (str, TransferState, int)) else states result = set() for state in states: if isinstance(state, str): # The proto.Enum type is indexable (via MetaClass and aliased) but MyPy is not able to # infer this result.add(TransferState[state.upper()]) # type: ignore[misc] elif isinstance(state, int): result.add(TransferState(state)) elif isinstance(state, TransferState): result.add(state) else: raise TypeError( f"Unsupported type. " f"Expected: str, int," f"Current type: {type(state)}" ) return result
[docs] def poke(self, context: Context) -> bool: hook = BiqQueryDataTransferServiceHook( gcp_conn_id=self.gcp_cloud_conn_id, impersonation_chain=self.impersonation_chain, location=self.location, ) run = hook.get_transfer_run( run_id=self.run_id, transfer_config_id=self.transfer_config_id, project_id=self.project_id, retry=self.retry, timeout=self.request_timeout, metadata=self.metadata, )"Status of %s run: %s", self.run_id, run.state) if run.state in (TransferState.FAILED, TransferState.CANCELLED): # TODO: remove this if check when min_airflow_version is set to higher than 2.7.1 message = f"Transfer {self.run_id} did not succeed" if self.soft_fail: raise AirflowSkipException(message) raise AirflowException(message) return run.state in self.expected_statuses

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