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manage_transfer_configs.py
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manage_transfer_configs.py
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# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
def list_configs(override_values={}):
# [START bigquerydatatransfer_list_configs]
from google.cloud import bigquery_datatransfer
transfer_client = bigquery_datatransfer.DataTransferServiceClient()
project_id = "my-project"
# [END bigquerydatatransfer_list_configs]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
project_id = override_values.get("project_id", project_id)
# [START bigquerydatatransfer_list_configs]
parent = transfer_client.common_project_path(project_id)
configs = transfer_client.list_transfer_configs(parent=parent)
print("Got the following configs:")
for config in configs:
print(f"\tID: {config.name}, Schedule: {config.schedule}")
# [END bigquerydatatransfer_list_configs]
def update_config(override_values={}):
# [START bigquerydatatransfer_update_config]
from google.cloud import bigquery_datatransfer
from google.protobuf import field_mask_pb2
transfer_client = bigquery_datatransfer.DataTransferServiceClient()
transfer_config_name = "projects/1234/locations/us/transferConfigs/abcd"
new_display_name = "My Transfer Config"
# [END bigquerydatatransfer_update_config]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
new_display_name = override_values.get("new_display_name", new_display_name)
transfer_config_name = override_values.get(
"transfer_config_name", transfer_config_name
)
# [START bigquerydatatransfer_update_config]
transfer_config = bigquery_datatransfer.TransferConfig(name=transfer_config_name)
transfer_config.display_name = new_display_name
transfer_config = transfer_client.update_transfer_config(
{
"transfer_config": transfer_config,
"update_mask": field_mask_pb2.FieldMask(paths=["display_name"]),
}
)
print(f"Updated config: '{transfer_config.name}'")
print(f"New display name: '{transfer_config.display_name}'")
# [END bigquerydatatransfer_update_config]
# Return the config name for testing purposes, so that it can be deleted.
return transfer_config
def update_credentials_with_service_account(override_values={}):
# [START bigquerydatatransfer_update_credentials]
from google.cloud import bigquery_datatransfer
from google.protobuf import field_mask_pb2
transfer_client = bigquery_datatransfer.DataTransferServiceClient()
service_account_name = "[email protected]"
transfer_config_name = "projects/1234/locations/us/transferConfigs/abcd"
# [END bigquerydatatransfer_update_credentials]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
service_account_name = override_values.get(
"service_account_name", service_account_name
)
transfer_config_name = override_values.get(
"transfer_config_name", transfer_config_name
)
# [START bigquerydatatransfer_update_credentials]
transfer_config = bigquery_datatransfer.TransferConfig(name=transfer_config_name)
transfer_config = transfer_client.update_transfer_config(
{
"transfer_config": transfer_config,
"update_mask": field_mask_pb2.FieldMask(paths=["service_account_name"]),
"service_account_name": service_account_name,
}
)
print("Updated config: '{}'".format(transfer_config.name))
# [END bigquerydatatransfer_update_credentials]
# Return the config name for testing purposes, so that it can be deleted.
return transfer_config
def schedule_backfill_manual_transfer(override_values={}):
# [START bigquerydatatransfer_schedule_backfill]
import datetime
from google.cloud.bigquery_datatransfer_v1 import (
DataTransferServiceClient,
StartManualTransferRunsRequest,
)
# Create a client object
client = DataTransferServiceClient()
# Replace with your transfer configuration name
transfer_config_name = "projects/1234/locations/us/transferConfigs/abcd"
# [END bigquerydatatransfer_schedule_backfill]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
transfer_config_name = override_values.get(
"transfer_config_name", transfer_config_name
)
# [START bigquerydatatransfer_schedule_backfill]
now = datetime.datetime.now(datetime.timezone.utc)
start_time = now - datetime.timedelta(days=5)
end_time = now - datetime.timedelta(days=2)
# Some data sources, such as scheduled_query only support daily run.
# Truncate start_time and end_time to midnight time (00:00AM UTC).
start_time = datetime.datetime(
start_time.year, start_time.month, start_time.day, tzinfo=datetime.timezone.utc
)
end_time = datetime.datetime(
end_time.year, end_time.month, end_time.day, tzinfo=datetime.timezone.utc
)
requested_time_range = StartManualTransferRunsRequest.TimeRange(
start_time=start_time,
end_time=end_time,
)
# Initialize request argument(s)
request = StartManualTransferRunsRequest(
parent=transfer_config_name,
requested_time_range=requested_time_range,
)
# Make the request
response = client.start_manual_transfer_runs(request=request)
# Handle the response
print("Started manual transfer runs:")
for run in response.runs:
print(f"backfill: {run.run_time} run: {run.name}")
# [END bigquerydatatransfer_schedule_backfill]
return response.runs
def delete_config(override_values={}):
# [START bigquerydatatransfer_delete_transfer]
import google.api_core.exceptions
from google.cloud import bigquery_datatransfer
transfer_client = bigquery_datatransfer.DataTransferServiceClient()
transfer_config_name = "projects/1234/locations/us/transferConfigs/abcd"
# [END bigquerydatatransfer_delete_transfer]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
transfer_config_name = override_values.get(
"transfer_config_name", transfer_config_name
)
# [START bigquerydatatransfer_delete_transfer]
try:
transfer_client.delete_transfer_config(name=transfer_config_name)
except google.api_core.exceptions.NotFound:
print("Transfer config not found.")
else:
print(f"Deleted transfer config: {transfer_config_name}")
# [END bigquerydatatransfer_delete_transfer]