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"""This module contains a BigQuery Hook."""
from copy import copy
from typing import Optional, Sequence, Tuple, Union
from google.api_core.retry import Retry
from google.cloud.bigquery_datatransfer_v1 import DataTransferServiceClient
from google.cloud.bigquery_datatransfer_v1.types import (
StartManualTransferRunsResponse,
TransferConfig,
TransferRun,
)
from googleapiclient.discovery import Resource
from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
[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 = None # type: Optional[Resource]
def __init__(
self,
gcp_conn_id: str = "google_cloud_default",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
) -> None:
super().__init__(
gcp_conn_id=gcp_conn_id,
delegate_to=delegate_to,
impersonation_chain=impersonation_chain,
)
@staticmethod
def _disable_auto_scheduling(config: Union[dict, TransferConfig]) -> TransferConfig:
"""
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.
:type config: Union[dict, google.cloud.bigquery_datatransfer_v1.types.TransferConfig]
"""
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}
# HACK: TransferConfig.to_dict returns invalid representation
# See: https://github.com/googleapis/python-bigquery-datatransfer/issues/90
if isinstance(new_config.get('user_id'), str):
new_config['user_id'] = int(new_config['user_id'])
return TransferConfig(**new_config)
[docs] def get_conn(self) -> DataTransferServiceClient:
"""
Retrieves connection to Google Bigquery.
:return: Google Bigquery API client
:rtype: google.cloud.bigquery_datatransfer_v1.DataTransferServiceClient
"""
if not self._conn:
self._conn = DataTransferServiceClient(
credentials=self._get_credentials(), client_info=self.client_info
)
return self._conn
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_transfer_config(
self,
transfer_config: Union[dict, TransferConfig],
project_id: str,
authorization_code: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> TransferConfig:
"""
Creates a new data transfer configuration.
:param transfer_config: Data transfer configuration to create.
:type transfer_config: Union[dict, google.cloud.bigquery_datatransfer_v1.types.TransferConfig]
: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 authorization_code: authorization code to use with this transfer configuration.
This is required if new credentials are needed.
:type authorization_code: Optional[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 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 timeout: Optional[float]
:param metadata: Additional metadata that is provided to the method.
:type metadata: Optional[Sequence[Tuple[str, str]]]
:return: A ``google.cloud.bigquery_datatransfer_v1.types.TransferConfig`` instance.
"""
client = self.get_conn()
parent = f"projects/{project_id}"
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 or (),
)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_transfer_config(
self,
transfer_config_id: str,
project_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> None:
"""
Deletes transfer configuration.
: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 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 timeout: Optional[float]
:param metadata: Additional metadata that is provided to the method.
:type metadata: Optional[Sequence[Tuple[str, str]]]
:return: None
"""
client = self.get_conn()
name = f"projects/{project_id}/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,
requested_time_range: Optional[dict] = None,
requested_run_time: Optional[dict] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> 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.
:type transfer_config_id: str
: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`
:type requested_time_range: Union[dict, ~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`
:type requested_run_time: Union[dict, ~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.
: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 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 timeout: Optional[float]
:param metadata: Additional metadata that is provided to the method.
:type metadata: Optional[Sequence[Tuple[str, str]]]
:return: An ``google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsResponse`` instance.
"""
client = self.get_conn()
parent = f"projects/{project_id}/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 or (),
)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_transfer_run(
self,
run_id: str,
transfer_config_id: str,
project_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> TransferRun:
"""
Returns information about the particular transfer run.
: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 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 timeout: Optional[float]
:param metadata: Additional metadata that is provided to the method.
:type metadata: Optional[Sequence[Tuple[str, str]]]
:return: An ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` instance.
"""
client = self.get_conn()
name = f"projects/{project_id}/transferConfigs/{transfer_config_id}/runs/{run_id}"
return client.get_transfer_run(
request={'name': name}, retry=retry, timeout=timeout, metadata=metadata or ()
)