def test_batch_update_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = intent_pb2.BatchUpdateIntentsResponse(
**expected_response)
operation = operations_pb2.Operation(
name='operations/test_batch_update_intents', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
client = dialogflow_v2beta1.IntentsClient(channel=channel)
# Setup Request
parent = client.project_agent_path('[PROJECT]')
language_code = 'languageCode-412800396'
response = client.batch_update_intents(parent, language_code)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent, language_code=language_code)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_batch_update_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = intent_pb2.BatchUpdateIntentsResponse(
**expected_response)
operation = operations_pb2.Operation(
name="operations/test_batch_update_intents", done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = dialogflow_v2beta1.IntentsClient()
# Setup Request
parent = client.project_agent_path("[PROJECT]")
language_code = "languageCode-412800396"
response = client.batch_update_intents(parent, language_code)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent, language_code=language_code)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def batch_update_intents(self,
parent,
language_code,
intent_batch_uri=None,
intent_batch_inline=None,
update_mask=None,
intent_view=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT):
"""
Updates/Creates multiple intents in the specified agent.
Operation<response: BatchUpdateIntentsResponse>
Example:
>>> import dialogflow_v2beta1
>>>
>>> client = dialogflow_v2beta1.IntentsClient()
>>>
>>> parent = client.agent_path('[PROJECT]', '[AGENT]')
>>> language_code = ''
>>>
>>> response = client.batch_update_intents(parent, language_code)
>>>
>>> def callback(operation_future):
... # Handle result.
... result = operation_future.result()
>>>
>>> response.add_done_callback(callback)
>>>
>>> # Handle metadata.
>>> metadata = response.metadata()
Args:
parent (str): Required. The name of the agent to update or create intents in.
Format: ``projects/<Project ID>/agent``.
language_code (str): Optional. The language of training phrases, parameters and rich messages
defined in ``intents``. If not specified, the agent's default language is
used. [More than a dozen
languages](https://dialogflow.com/docs/reference/language) are supported.
Note: languages must be enabled in the agent, before they can be used.
intent_batch_uri (str): The URI to a file containing intents to update or create. The file
format can be either a serialized proto (of IntentBatch type) or JSON
object. Note: The URI must start with \"gs://\".
intent_batch_inline (Union[dict, ~dialogflow_v2beta1.types.IntentBatch]): The collection of intents to update or create.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~dialogflow_v2beta1.types.IntentBatch`
update_mask (Union[dict, ~dialogflow_v2beta1.types.FieldMask]): Optional. The mask to control which fields get updated.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~dialogflow_v2beta1.types.FieldMask`
intent_view (~dialogflow_v2beta1.types.IntentView): Optional. The resource view to apply to the returned intent.
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:`~dialogflow_v2beta1.types._OperationFuture` 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.
"""
# Sanity check: We have some fields which are mutually exclusive;
# raise ValueError if more than one is sent.
google.api_core.protobuf_helpers.check_oneof(
intent_batch_uri=intent_batch_uri,
intent_batch_inline=intent_batch_inline, )
request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent,
language_code=language_code,
intent_batch_uri=intent_batch_uri,
intent_batch_inline=intent_batch_inline,
update_mask=update_mask,
intent_view=intent_view)
operation = self._batch_update_intents(
request, retry=retry, timeout=timeout)
return google.api_core.operation.from_gapic(
operation,
self.operations_client,
intent_pb2.BatchUpdateIntentsResponse,
metadata_type=struct_pb2.Struct)
def batch_update_intents(self,
parent,
language_code,
intent_batch_uri=None,
intent_batch_inline=None,
update_mask=None,
intent_view=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None):
"""
Updates/Creates multiple intents in the specified agent.
Operation <response: ``BatchUpdateIntentsResponse``>
Example:
>>> import dialogflow_v2beta1
>>>
>>> client = dialogflow_v2beta1.IntentsClient()
>>>
>>> parent = client.project_agent_path('[PROJECT]')
>>>
>>> # TODO: Initialize `language_code`:
>>> language_code = ''
>>>
>>> response = client.batch_update_intents(parent, language_code)
>>>
>>> def callback(operation_future):
... # Handle result.
... result = operation_future.result()
>>>
>>> response.add_done_callback(callback)
>>>
>>> # Handle metadata.
>>> metadata = response.metadata()
Args:
parent (str): Required. The name of the agent to update or create intents in. Format:
``projects/<Project ID>/agent``.
language_code (str): Optional. The language of training phrases, parameters and rich messages
defined in ``intents``. If not specified, the agent's default language
is used. `Many
languages <https://cloud.google.com/dialogflow-enterprise/docs/reference/language>`__
are supported. Note: languages must be enabled in the agent before they
can be used.
intent_batch_uri (str): The URI to a Google Cloud Storage file containing intents to update or
create. The file format can either be a serialized proto (of IntentBatch
type) or JSON object. Note: The URI must start with "gs://".
intent_batch_inline (Union[dict, ~google.cloud.dialogflow_v2beta1.types.IntentBatch]): The collection of intents to update or create.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dialogflow_v2beta1.types.IntentBatch`
update_mask (Union[dict, ~google.cloud.dialogflow_v2beta1.types.FieldMask]): Optional. The mask to control which fields get updated.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dialogflow_v2beta1.types.FieldMask`
intent_view (~google.cloud.dialogflow_v2beta1.types.IntentView): Optional. The resource view to apply to the returned intent.
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._OperationFuture` 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 'batch_update_intents' not in self._inner_api_calls:
self._inner_api_calls[
'batch_update_intents'] = google.api_core.gapic_v1.method.wrap_method(
self.transport.batch_update_intents,
default_retry=self._method_configs['BatchUpdateIntents'].
retry,
default_timeout=self._method_configs['BatchUpdateIntents'].
timeout,
client_info=self._client_info,
)
# Sanity check: We have some fields which are mutually exclusive;
# raise ValueError if more than one is sent.
google.api_core.protobuf_helpers.check_oneof(
intent_batch_uri=intent_batch_uri,
intent_batch_inline=intent_batch_inline,
)
request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent,
language_code=language_code,
intent_batch_uri=intent_batch_uri,
intent_batch_inline=intent_batch_inline,
update_mask=update_mask,
intent_view=intent_view,
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [('parent', parent)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header)
metadata.append(routing_metadata)
operation = self._inner_api_calls['batch_update_intents'](
request, retry=retry, timeout=timeout, metadata=metadata)
return google.api_core.operation.from_gapic(
operation,
self.transport._operations_client,
intent_pb2.BatchUpdateIntentsResponse,
metadata_type=struct_pb2.Struct,
)