def test_update_workflow_template(self):
# Setup Expected Response
id_ = 'id3355'
name = 'name3373707'
version = 351608024
expected_response = {'id': id_, 'name': name, 'version': version}
expected_response = workflow_templates_pb2.WorkflowTemplate(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = dataproc_v1beta2.WorkflowTemplateServiceClient(
channel=channel)
# Setup Request
template = {}
response = client.update_workflow_template(template)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = workflow_templates_pb2.UpdateWorkflowTemplateRequest(
template=template)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_update_workflow_template(self):
# Setup Expected Response
id_ = "id3355"
name = "name3373707"
version = 351608024
expected_response = {"id": id_, "name": name, "version": version}
expected_response = workflow_templates_pb2.WorkflowTemplate(
**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 = dataproc_v1beta2.WorkflowTemplateServiceClient()
# Setup Request
template = {}
response = client.update_workflow_template(template)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = workflow_templates_pb2.UpdateWorkflowTemplateRequest(
template=template)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def update_workflow_template(
self,
template,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None):
"""
Updates (replaces) workflow template. The updated template
must contain version that matches the current server version.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.WorkflowTemplateServiceClient()
>>>
>>> # TODO: Initialize ``template``:
>>> template = {}
>>>
>>> response = client.update_workflow_template(template)
Args:
template (Union[dict, ~google.cloud.dataproc_v1beta2.types.WorkflowTemplate]): Required. The updated workflow template.
The ``template.version`` field must match the current version.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate`
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.dataproc_v1beta2.types.WorkflowTemplate` 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_workflow_template' not in self._inner_api_calls:
self._inner_api_calls[
'update_workflow_template'] = google.api_core.gapic_v1.method.wrap_method(
self.transport.update_workflow_template,
default_retry=self.
_method_configs['UpdateWorkflowTemplate'].retry,
default_timeout=self.
_method_configs['UpdateWorkflowTemplate'].timeout,
client_info=self._client_info,
)
request = workflow_templates_pb2.UpdateWorkflowTemplateRequest(
template=template, )
return self._inner_api_calls['update_workflow_template'](
request, retry=retry, timeout=timeout, metadata=metadata)