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"""This module contains a Google BigQuery Data Transfer Service sensor."""
from typing import Optional, Sequence, Set, Tuple, Union
from google.api_core.retry import Retry
from google.cloud.bigquery_datatransfer_v1 import TransferState
from airflow.providers.google.cloud.hooks.bigquery_dts import BiqQueryDataTransferServiceHook
from airflow.sensors.base import BaseSensorOperator
[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
:type expected_statuses: Union[Set[str], str]
:param run_id: ID of the transfer run.
:type run_id: str
:param transfer_config_id: ID of transfer config to be used.
:type transfer_config_id: str
: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.
:type project_id: str
:param retry: A retry object used to retry requests. If `None` is
specified, requests will not be retried.
:type retry: Optional[google.api_core.retry.Retry]
: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.
:type request_timeout: Optional[float]
:param metadata: Additional metadata that is provided to the method.
:type metadata: Optional[Sequence[Tuple[str, str]]]
: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).
:type impersonation_chain: Union[str, Sequence[str]]
:return: An ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` instance.
"""
[docs] template_fields = (
"run_id",
"transfer_config_id",
"expected_statuses",
"project_id",
"impersonation_chain",
)
def __init__(
self,
*,
run_id: str,
transfer_config_id: str,
expected_statuses: Union[
Set[Union[str, TransferState, int]], str, TransferState, int
] = TransferState.SUCCEEDED,
project_id: Optional[str] = None,
gcp_conn_id: str = "google_cloud_default",
retry: Optional[Retry] = None,
request_timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = 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
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):
result.add(TransferState[state.upper()])
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: dict) -> bool:
hook = BiqQueryDataTransferServiceHook(
gcp_conn_id=self.gcp_cloud_conn_id,
impersonation_chain=self.impersonation_chain,
)
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, str(run.state))
return run.state in self.expected_statuses