def test_update_knowledge_base(self):
# Setup Expected Response
name = "name3373707"
display_name = "displayName1615086568"
language_code = "languageCode-412800396"
expected_response = {
"name": name,
"display_name": display_name,
"language_code": language_code,
}
expected_response = knowledge_base_pb2.KnowledgeBase(
**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 = dialogflow_v2beta1.KnowledgeBasesClient()
# Setup Request
knowledge_base = {}
response = client.update_knowledge_base(knowledge_base)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = knowledge_base_pb2.UpdateKnowledgeBaseRequest(
knowledge_base=knowledge_base)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_update_knowledge_base(self):
# Setup Expected Response
name = 'name3373707'
display_name = 'displayName1615086568'
expected_response = {'name': name, 'display_name': display_name}
expected_response = knowledge_base_pb2.KnowledgeBase(
**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 = dialogflow_v2beta1.KnowledgeBasesClient()
response = client.update_knowledge_base()
assert expected_response == response
assert len(channel.requests) == 1
expected_request = knowledge_base_pb2.UpdateKnowledgeBaseRequest()
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def update_knowledge_base(self,
knowledge_base=None,
update_mask=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None):
"""
Updates the specified knowledge base.
Example:
>>> import dialogflow_v2beta1
>>>
>>> client = dialogflow_v2beta1.KnowledgeBasesClient()
>>>
>>> response = client.update_knowledge_base()
Args:
knowledge_base (Union[dict, ~google.cloud.dialogflow_v2beta1.types.KnowledgeBase]): Required. The knowledge base to update.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dialogflow_v2beta1.types.KnowledgeBase`
update_mask (Union[dict, ~google.cloud.dialogflow_v2beta1.types.FieldMask]): Optional. Not specified means ``update all``. Currently, only
``display_name`` can be updated, an InvalidArgument will be returned for
attempting to update other fields.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dialogflow_v2beta1.types.FieldMask`
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.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.dialogflow_v2beta1.types.KnowledgeBase` 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.
"""
# Wrap the transport method to add retry and timeout logic.
if 'update_knowledge_base' not in self._inner_api_calls:
self._inner_api_calls[
'update_knowledge_base'] = google.api_core.gapic_v1.method.wrap_method(
self.transport.update_knowledge_base,
default_retry=self._method_configs['UpdateKnowledgeBase'].
retry,
default_timeout=self.
_method_configs['UpdateKnowledgeBase'].timeout,
client_info=self._client_info,
)
request = knowledge_base_pb2.UpdateKnowledgeBaseRequest(
knowledge_base=knowledge_base,
update_mask=update_mask,
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [('knowledge_base.name', knowledge_base.name)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header)
metadata.append(routing_metadata)
return self._inner_api_calls['update_knowledge_base'](
request, retry=retry, timeout=timeout, metadata=metadata)