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"""This module contains a BigQuery Hook."""
from __future__ import annotations
from copy import copy
from typing import TYPE_CHECKING, Sequence
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.cloud.bigquery_datatransfer_v1 import DataTransferServiceAsyncClient, DataTransferServiceClient
from google.cloud.bigquery_datatransfer_v1.types import (
StartManualTransferRunsResponse,
TransferConfig,
TransferRun,
)
from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.common.hooks.base_google import (
PROVIDE_PROJECT_ID,
GoogleBaseAsyncHook,
GoogleBaseHook,
)
if TYPE_CHECKING:
from google.api_core.retry import Retry
from google.api_core.retry_async import AsyncRetry
from googleapiclient.discovery import Resource
[docs]def get_object_id(obj: dict) -> str:
"""Returns unique id of the object."""
return obj["name"].rpartition("/")[-1]
[docs]class BiqQueryDataTransferServiceHook(GoogleBaseHook):
"""
Hook for Google Bigquery Transfer API.
All the methods in the hook where ``project_id`` is used must be called with
keyword arguments rather than positional.
"""
_conn: Resource | None = None
def __init__(
self,
gcp_conn_id: str = "google_cloud_default",
location: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
if kwargs.get("delegate_to") is not None:
raise RuntimeError(
"The `delegate_to` parameter has been deprecated before and finally removed in this version"
" of Google Provider. You MUST convert it to `impersonate_chain`"
)
super().__init__(
gcp_conn_id=gcp_conn_id,
impersonation_chain=impersonation_chain,
)
self.location = location
@staticmethod
def _disable_auto_scheduling(config: dict | TransferConfig) -> TransferConfig:
"""
Create a transfer config with the automatic scheduling disabled.
In the case of Airflow, the customer needs to create a transfer config
with the automatic scheduling disabled (UI, CLI or an Airflow operator) and
then trigger a transfer run using a specialized Airflow operator that will
call start_manual_transfer_runs.
:param config: Data transfer configuration to create.
"""
config = TransferConfig.to_dict(config) if isinstance(config, TransferConfig) else config
new_config = copy(config)
schedule_options = new_config.get("schedule_options")
if schedule_options:
disable_auto_scheduling = schedule_options.get("disable_auto_scheduling", None)
if disable_auto_scheduling is None:
schedule_options["disable_auto_scheduling"] = True
else:
new_config["schedule_options"] = {"disable_auto_scheduling": True}
return TransferConfig(**new_config)
[docs] def get_conn(self) -> DataTransferServiceClient:
"""
Retrieves connection to Google Bigquery.
:return: Google Bigquery API client
"""
if not self._conn:
self._conn = DataTransferServiceClient(
credentials=self.get_credentials(), client_info=CLIENT_INFO
)
return self._conn
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_transfer_config(
self,
transfer_config: dict | TransferConfig,
project_id: str = PROVIDE_PROJECT_ID,
authorization_code: str | None = None,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
metadata: Sequence[tuple[str, str]] = (),
) -> TransferConfig:
"""
Creates a new data transfer configuration.
:param transfer_config: Data transfer configuration to create.
: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 authorization_code: authorization code to use with this transfer configuration.
This is required if new credentials are needed.
:param retry: A retry object used to retry requests. If `None` is
specified, requests will not be retried.
:param 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.
:return: A ``google.cloud.bigquery_datatransfer_v1.types.TransferConfig`` instance.
"""
client = self.get_conn()
parent = f"projects/{project_id}"
if self.location:
parent = f"{parent}/locations/{self.location}"
return client.create_transfer_config(
request={
"parent": parent,
"transfer_config": self._disable_auto_scheduling(transfer_config),
"authorization_code": authorization_code,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_transfer_config(
self,
transfer_config_id: str,
project_id: str = PROVIDE_PROJECT_ID,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
metadata: Sequence[tuple[str, str]] = (),
) -> None:
"""
Deletes transfer configuration.
: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 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.
:return: None
"""
client = self.get_conn()
project = f"projects/{project_id}"
if self.location:
project = f"{project}/locations/{self.location}"
name = f"{project}/transferConfigs/{transfer_config_id}"
return client.delete_transfer_config(
request={"name": name}, retry=retry, timeout=timeout, metadata=metadata or ()
)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def start_manual_transfer_runs(
self,
transfer_config_id: str,
project_id: str = PROVIDE_PROJECT_ID,
requested_time_range: dict | None = None,
requested_run_time: dict | None = None,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
metadata: Sequence[tuple[str, str]] = (),
) -> StartManualTransferRunsResponse:
"""
Start manual transfer runs to be executed now with schedule_time equal to current time.
The transfer runs can be created for a time range where the run_time is between
start_time (inclusive) and end_time (exclusive), or for a specific run_time.
:param transfer_config_id: Id of transfer config to be used.
:param requested_time_range: Time range for the transfer runs that should be started.
If a dict is provided, it must be of the same form as the protobuf
message `~google.cloud.bigquery_datatransfer_v1.types.TimeRange`
:param requested_run_time: Specific run_time for a transfer run to be started. The
requested_run_time must not be in the future. If a dict is provided, it
must be of the same form as the protobuf message
`~google.cloud.bigquery_datatransfer_v1.types.Timestamp`
: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 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.
:return: An ``google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsResponse`` instance.
"""
client = self.get_conn()
project = f"projects/{project_id}"
if self.location:
project = f"{project}/locations/{self.location}"
parent = f"{project}/transferConfigs/{transfer_config_id}"
return client.start_manual_transfer_runs(
request={
"parent": parent,
"requested_time_range": requested_time_range,
"requested_run_time": requested_run_time,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_transfer_run(
self,
run_id: str,
transfer_config_id: str,
project_id: str = PROVIDE_PROJECT_ID,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
metadata: Sequence[tuple[str, str]] = (),
) -> TransferRun:
"""
Returns information about the particular transfer run.
: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 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.
:return: An ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` instance.
"""
client = self.get_conn()
project = f"projects/{project_id}"
if self.location:
project = f"{project}/locations/{self.location}"
name = f"{project}/transferConfigs/{transfer_config_id}/runs/{run_id}"
return client.get_transfer_run(
request={"name": name}, retry=retry, timeout=timeout, metadata=metadata or ()
)
[docs]class AsyncBiqQueryDataTransferServiceHook(GoogleBaseAsyncHook):
"""Hook of the BigQuery service to be used with async client of the Google library."""
[docs] sync_hook_class = BiqQueryDataTransferServiceHook
def __init__(
self,
gcp_conn_id: str = "google_cloud_default",
location: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
):
if kwargs.get("delegate_to") is not None:
raise RuntimeError(
"The `delegate_to` parameter has been deprecated before and finally removed in this version"
" of Google Provider. You MUST convert it to `impersonate_chain`"
)
super().__init__(
gcp_conn_id=gcp_conn_id,
location=location,
impersonation_chain=impersonation_chain,
)
self._conn: DataTransferServiceAsyncClient | None = None
async def _get_conn(self) -> DataTransferServiceAsyncClient:
if not self._conn:
credentials = (await self.get_sync_hook()).get_credentials()
self._conn = DataTransferServiceAsyncClient(credentials=credentials, client_info=CLIENT_INFO)
return self._conn
async def _get_project_id(self) -> str:
sync_hook = await self.get_sync_hook()
return sync_hook.project_id
async def _get_project_location(self) -> str:
sync_hook = await self.get_sync_hook()
return sync_hook.location
[docs] async def get_transfer_run(
self,
config_id: str,
run_id: str,
project_id: str | None,
location: str | None = None,
retry: AsyncRetry | _MethodDefault = DEFAULT,
timeout: float | None = None,
metadata: Sequence[tuple[str, str]] = (),
):
"""
Returns information about the particular transfer run.
:param run_id: ID of the transfer run.
:param 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 location: BigQuery Transfer Service location for regional transfers.
:param retry: A retry object used to retry requests. If `None` is
specified, requests will not be retried.
:param 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.
:return: An ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` instance.
"""
project_id = project_id or (await self._get_project_id())
location = location or (await self._get_project_location())
name = f"projects/{project_id}"
if location:
name += f"/locations/{location}"
name += f"/transferConfigs/{config_id}/runs/{run_id}"
client = await self._get_conn()
transfer_run = await client.get_transfer_run(
name=name,
retry=retry,
timeout=timeout,
metadata=metadata,
)
return transfer_run
