def test_list_jobs(self):
# Setup Expected Response
next_page_token = ''
jobs_element = {}
jobs = [jobs_element]
expected_response = {'next_page_token': next_page_token, 'jobs': jobs}
expected_response = jobs_pb2.ListJobsResponse(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = dataproc_v1.JobControllerClient(channel=channel)
# Setup Request
project_id = 'projectId-1969970175'
region = 'region-934795532'
paged_list_response = client.list_jobs(project_id, region)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.jobs[0] == resources[0]
assert len(channel.requests) == 1
expected_request = jobs_pb2.ListJobsRequest(
project_id=project_id, region=region)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_list_jobs(self):
# Setup Expected Response
next_page_token = ''
jobs_element = {}
jobs = [jobs_element]
expected_response = {'next_page_token': next_page_token, 'jobs': jobs}
expected_response = jobs_pb2.ListJobsResponse(**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_v1.JobControllerClient()
# Setup Request
project_id = 'projectId-1969970175'
region = 'region-934795532'
paged_list_response = client.list_jobs(project_id, region)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.jobs[0] == resources[0]
assert len(channel.requests) == 1
expected_request = jobs_pb2.ListJobsRequest(project_id=project_id,
region=region)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def list_jobs(self,
project_id,
region,
page_size=None,
cluster_name=None,
job_state_matcher=None,
filter_=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None):
"""
Lists regions/{region}/jobs in a project.
Example:
>>> from google.cloud import dataproc_v1
>>>
>>> client = dataproc_v1.JobControllerClient()
>>>
>>> # TODO: Initialize `project_id`:
>>> project_id = ''
>>>
>>> # TODO: Initialize `region`:
>>> region = ''
>>>
>>> # Iterate over all results
>>> for element in client.list_jobs(project_id, region):
... # process element
... pass
>>>
>>>
>>> # Alternatively:
>>>
>>> # Iterate over results one page at a time
>>> for page in client.list_jobs(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 job
belongs to.
region (str): Required. The Cloud Dataproc region in which to handle the request.
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.
cluster_name (str): Optional. If set, the returned jobs list includes only jobs that were
submitted to the named cluster.
job_state_matcher (~google.cloud.dataproc_v1.types.JobStateMatcher): Optional. Specifies enumerated categories of jobs to list. (default =
match ALL jobs).
If ``filter`` is provided, ``jobStateMatcher`` will be ignored.
filter_ (str): Optional. A filter constraining the jobs to list. Filters are
case-sensitive and have the following syntax:
[field = value] AND [field [= value]] ...
where **field** is ``status.state`` or ``labels.[KEY]``, and ``[KEY]``
is a label key. **value** can be ``*`` to match all values.
``status.state`` can be either ``ACTIVE`` or ``NON_ACTIVE``. Only the
logical ``AND`` operator is supported; space-separated items are treated
as having an implicit ``AND`` operator.
Example filter:
status.state = ACTIVE AND labels.env = staging AND labels.starred = \*
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.gax.PageIterator` instance. By default, this
is an iterable of :class:`~google.cloud.dataproc_v1.types.Job` instances.
This object can also be configured to iterate over the pages
of the response through the `options` parameter.
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_jobs' not in self._inner_api_calls:
self._inner_api_calls[
'list_jobs'] = google.api_core.gapic_v1.method.wrap_method(
self.transport.list_jobs,
default_retry=self._method_configs['ListJobs'].retry,
default_timeout=self._method_configs['ListJobs'].timeout,
client_info=self._client_info,
)
request = jobs_pb2.ListJobsRequest(
project_id=project_id,
region=region,
page_size=page_size,
cluster_name=cluster_name,
job_state_matcher=job_state_matcher,
filter=filter_,
)
iterator = google.api_core.page_iterator.GRPCIterator(
client=None,
method=functools.partial(self._inner_api_calls['list_jobs'],
retry=retry,
timeout=timeout,
metadata=metadata),
request=request,
items_field='jobs',
request_token_field='page_token',
response_token_field='next_page_token',
)
return iterator