def test_get_transfer_run(self):
# Setup Expected Response
name_2 = "name2-1052831874"
destination_dataset_id = "destinationDatasetId1541564179"
data_source_id = "dataSourceId-1015796374"
user_id = 147132913
schedule = "schedule-697920873"
notification_pubsub_topic = "notificationPubsubTopic1794281191"
expected_response = {
"name": name_2,
"destination_dataset_id": destination_dataset_id,
"data_source_id": data_source_id,
"user_id": user_id,
"schedule": schedule,
"notification_pubsub_topic": notification_pubsub_topic,
}
expected_response = transfer_pb2.TransferRun(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = bigquery_datatransfer_v1.DataTransferServiceClient()
# Setup Request
name = client.project_run_path("[PROJECT]", "[TRANSFER_CONFIG]", "[RUN]")
response = client.get_transfer_run(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = datatransfer_pb2.GetTransferRunRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_get_transfer_run(self):
# Setup Expected Response
name_2 = 'name2-1052831874'
destination_dataset_id = 'destinationDatasetId1541564179'
data_source_id = 'dataSourceId-1015796374'
user_id = 147132913
schedule = 'schedule-697920873'
expected_response = {
'name': name_2,
'destination_dataset_id': destination_dataset_id,
'data_source_id': data_source_id,
'user_id': user_id,
'schedule': schedule
}
expected_response = transfer_pb2.TransferRun(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = bigquery_datatransfer_v1.DataTransferServiceClient(
channel=channel)
# Setup Request
name = client.project_run_path('[PROJECT]', '[TRANSFER_CONFIG]',
'[RUN]')
response = client.get_transfer_run(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = datatransfer_pb2.GetTransferRunRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def get_transfer_run(self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT):
"""
Returns information about the particular transfer run.
Example:
>>> from google.cloud import bigquery_datatransfer_v1
>>>
>>> client = bigquery_datatransfer_v1.DataTransferServiceClient()
>>>
>>> name = client.location_run_path('[PROJECT]', '[LOCATION]', '[TRANSFER_CONFIG]', '[RUN]')
>>>
>>> response = client.get_transfer_run(name)
Args:
name (str): The field will contain name of the resource requested, for example:
``projects/{project_id}/transferConfigs/{config_id}/runs/{run_id}``
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will not
be retried.
timeout (Optional[float]): 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.
Returns:
A :class:`~google.cloud.bigquery_datatransfer_v1.types.TransferRun` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
request = datatransfer_pb2.GetTransferRunRequest(name=name)
return self._get_transfer_run(request, retry=retry, timeout=timeout)