def test_create_cluster(self):
# Setup Expected Response
project_id_2 = 'projectId2939242356'
cluster_name = 'clusterName-1018081872'
cluster_uuid = 'clusterUuid-1017854240'
expected_response = {
'project_id': project_id_2,
'cluster_name': cluster_name,
'cluster_uuid': cluster_uuid
}
expected_response = clusters_pb2.Cluster(**expected_response)
operation = operations_pb2.Operation(
name='operations/test_create_cluster', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
client = dataproc_v1beta2.ClusterControllerClient(channel=channel)
# Setup Request
project_id = 'projectId-1969970175'
region = 'region-934795532'
cluster = {}
response = client.create_cluster(project_id, region, cluster)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = clusters_pb2.CreateClusterRequest(
project_id=project_id, region=region, cluster=cluster)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_create_cluster(self):
# Setup Expected Response
project_id_2 = "projectId2939242356"
cluster_name = "clusterName-1018081872"
cluster_uuid = "clusterUuid-1017854240"
expected_response = {
"project_id": project_id_2,
"cluster_name": cluster_name,
"cluster_uuid": cluster_uuid,
}
expected_response = clusters_pb2.Cluster(**expected_response)
operation = operations_pb2.Operation(
name="operations/test_create_cluster", 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 = dataproc_v1beta2.ClusterControllerClient()
# Setup Request
project_id = "projectId-1969970175"
region = "region-934795532"
cluster = {}
response = client.create_cluster(project_id, region, cluster)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = clusters_pb2.CreateClusterRequest(
project_id=project_id, region=region, cluster=cluster
)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def create_cluster(
self,
project_id,
region,
cluster,
request_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a cluster in a project. The returned ``Operation.metadata`` will
be
`ClusterOperationMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1beta2#clusteroperationmetadata>`__.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.ClusterControllerClient()
>>>
>>> # TODO: Initialize `project_id`:
>>> project_id = ''
>>>
>>> # TODO: Initialize `region`:
>>> region = ''
>>>
>>> # TODO: Initialize `cluster`:
>>> cluster = {}
>>>
>>> response = client.create_cluster(project_id, region, cluster)
>>>
>>> def callback(operation_future):
... # Handle result.
... result = operation_future.result()
>>>
>>> response.add_done_callback(callback)
>>>
>>> # Handle metadata.
>>> metadata = response.metadata()
Args:
project_id (str): Required. The ID of the Google Cloud Platform project that the cluster
belongs to.
region (str): Required. The Cloud Dataproc region in which to handle the request.
cluster (Union[dict, ~google.cloud.dataproc_v1beta2.types.Cluster]): Required. The cluster to create.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dataproc_v1beta2.types.Cluster`
request_id (str): Optional. A unique id used to identify the request. If the server
receives two ``CreateClusterRequest`` requests with the same id, then
the second request will be ignored and the first
``google.longrunning.Operation`` created and stored in the backend is
returned.
It is recommended to always set this value to a
`UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__.
The id must contain only letters (a-z, A-Z), numbers (0-9), underscores
(\_), and hyphens (-). The maximum length is 40 characters.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
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._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 "create_cluster" not in self._inner_api_calls:
self._inner_api_calls[
"create_cluster"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.create_cluster,
default_retry=self._method_configs["CreateCluster"].retry,
default_timeout=self._method_configs["CreateCluster"].timeout,
client_info=self._client_info,
)
request = clusters_pb2.CreateClusterRequest(
project_id=project_id, region=region, cluster=cluster, request_id=request_id
)
operation = self._inner_api_calls["create_cluster"](
request, retry=retry, timeout=timeout, metadata=metadata
)
return google.api_core.operation.from_gapic(
operation,
self.transport._operations_client,
clusters_pb2.Cluster,
metadata_type=proto_operations_pb2.ClusterOperationMetadata,
)