def test_list_clusters(self):
# Setup Expected Response
next_page_token = ""
clusters_element = {}
clusters = [clusters_element]
expected_response = {"next_page_token": next_page_token, "clusters": clusters}
expected_response = clusters_pb2.ListClustersResponse(**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.ClusterControllerClient()
# Setup Request
project_id = "projectId-1969970175"
region = "region-934795532"
paged_list_response = client.list_clusters(project_id, region)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.clusters[0] == resources[0]
assert len(channel.requests) == 1
expected_request = clusters_pb2.ListClustersRequest(
project_id=project_id, region=region
)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_list_clusters(self):
# Setup Expected Response
next_page_token = ''
clusters_element = {}
clusters = [clusters_element]
expected_response = {
'next_page_token': next_page_token,
'clusters': clusters
}
expected_response = clusters_pb2.ListClustersResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = dataproc_v1beta2.ClusterControllerClient(channel=channel)
# Setup Request
project_id = 'projectId-1969970175'
region = 'region-934795532'
paged_list_response = client.list_clusters(project_id, region)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.clusters[0] == resources[0]
assert len(channel.requests) == 1
expected_request = clusters_pb2.ListClustersRequest(
project_id=project_id, region=region)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def list_clusters(
self,
project_id,
region,
filter_=None,
page_size=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Lists all regions/{region}/clusters in a project.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.ClusterControllerClient()
>>>
>>> # TODO: Initialize `project_id`:
>>> project_id = ''
>>>
>>> # TODO: Initialize `region`:
>>> region = ''
>>>
>>> # Iterate over all results
>>> for element in client.list_clusters(project_id, region):
... # process element
... pass
>>>
>>>
>>> # Alternatively:
>>>
>>> # Iterate over results one page at a time
>>> for page in client.list_clusters(project_id, region).pages:
... for element in page:
... # process element
... pass
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.
filter_ (str): Optional. A filter constraining the clusters to list. Filters are
case-sensitive and have the following syntax:
field = value [AND [field = value]] ...
where **field** is one of ``status.state``, ``clusterName``, or
``labels.[KEY]``, and ``[KEY]`` is a label key. **value** can be ``*``
to match all values. ``status.state`` can be one of the following:
``ACTIVE``, ``INACTIVE``, ``CREATING``, ``RUNNING``, ``ERROR``,
``DELETING``, or ``UPDATING``. ``ACTIVE`` contains the ``CREATING``,
``UPDATING``, and ``RUNNING`` states. ``INACTIVE`` contains the
``DELETING`` and ``ERROR`` states. ``clusterName`` is the name of the
cluster provided at creation time. Only the logical ``AND`` operator is
supported; space-separated items are treated as having an implicit
``AND`` operator.
Example filter:
status.state = ACTIVE AND clusterName = mycluster AND labels.env =
staging AND labels.starred = \*
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
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.api_core.page_iterator.PageIterator` instance.
An iterable of :class:`~google.cloud.dataproc_v1beta2.types.Cluster` instances.
You can also iterate over the pages of the response
using its `pages` property.
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 "list_clusters" not in self._inner_api_calls:
self._inner_api_calls[
"list_clusters"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.list_clusters,
default_retry=self._method_configs["ListClusters"].retry,
default_timeout=self._method_configs["ListClusters"].timeout,
client_info=self._client_info,
)
request = clusters_pb2.ListClustersRequest(
project_id=project_id, region=region, filter=filter_, page_size=page_size
)
iterator = google.api_core.page_iterator.GRPCIterator(
client=None,
method=functools.partial(
self._inner_api_calls["list_clusters"],
retry=retry,
timeout=timeout,
metadata=metadata,
),
request=request,
items_field="clusters",
request_token_field="page_token",
response_token_field="next_page_token",
)
return iterator