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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 google.cloud.bigquery_datatransfer_v1 import TransferState
from airflow.exceptions import AirflowException, AirflowSkipException
from airflow.providers.google.cloud.hooks.bigquery_dts import BiqQueryDataTransferServiceHook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
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:
https://cloud.google.com/storage-transfer/docs/reference/rest/v1/transferOperations#Status
: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 ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` 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 | None = None,
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 https://github.com/python/mypy/issues/8968
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, google.cloud.bigquery_datatransfer_v1.TransferState."
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,
)
self.log.info("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
