def test_list_data_sources(self):
# Setup Expected Response
next_page_token = ''
data_sources_element = {}
data_sources = [data_sources_element]
expected_response = {
'next_page_token': next_page_token,
'data_sources': data_sources
}
expected_response = datatransfer_pb2.ListDataSourcesResponse(
**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
parent = client.project_path('[PROJECT]')
paged_list_response = client.list_data_sources(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.data_sources[0] == resources[0]
assert len(channel.requests) == 1
expected_request = datatransfer_pb2.ListDataSourcesRequest(
parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_list_data_sources(self):
# Setup Expected Response
next_page_token = ''
data_sources_element = {}
data_sources = [data_sources_element]
expected_response = {
'next_page_token': next_page_token,
'data_sources': data_sources
}
expected_response = datatransfer_pb2.ListDataSourcesResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = bigquery_datatransfer_v1.DataTransferServiceClient(
channel=channel)
# Setup Request
parent = client.project_path('[PROJECT]')
paged_list_response = client.list_data_sources(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.data_sources[0] == resources[0]
assert len(channel.requests) == 1
expected_request = datatransfer_pb2.ListDataSourcesRequest(
parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def list_data_sources(self,
parent,
page_size=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT):
"""
Lists supported data sources and returns their settings,
which can be used for UI rendering.
Example:
>>> from google.cloud import bigquery_datatransfer_v1
>>>
>>> client = bigquery_datatransfer_v1.DataTransferServiceClient()
>>>
>>> parent = client.location_path('[PROJECT]', '[LOCATION]')
>>>
>>>
>>> # Iterate over all results
>>> for element in client.list_data_sources(parent):
... # process element
... pass
>>>
>>> # Or iterate over results one page at a time
>>> for page in client.list_data_sources(parent, options=CallOptions(page_token=INITIAL_PAGE)):
... for element in page:
... # process element
... pass
Args:
parent (str): The BigQuery project id for which data sources should be returned.
Must be in the form: ``projects/{project_id}``
page_size (int): The maximum number of resources contained in the
underlying API response. If page streaming is performed per-
resource, this parameter does not affect the return value. If page
streaming is performed per-page, this determines the maximum number
of resources in a page.
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.gax.PageIterator` instance. By default, this
is an iterable of :class:`~google.cloud.bigquery_datatransfer_v1.types.DataSource` instances.
This object can also be configured to iterate over the pages
of the response through the `options` parameter.
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.ListDataSourcesRequest(parent=parent,
page_size=page_size)
iterator = google.api_core.page_iterator.GRPCIterator(
client=None,
method=functools.partial(self._list_data_sources,
retry=retry,
timeout=timeout),
request=request,
items_field='data_sources',
request_token_field='page_token',
response_token_field='next_page_token')
return iterator