def test_run_job(self):
# Setup Expected Response
name_2 = "name2-1052831874"
description = "description-1724546052"
schedule = "schedule-697920873"
time_zone = "timeZone36848094"
expected_response = {
"name": name_2,
"description": description,
"schedule": schedule,
"time_zone": time_zone,
}
expected_response = job_pb2.Job(**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 = scheduler_v1beta1.CloudSchedulerClient()
# Setup Request
name = client.job_path("[PROJECT]", "[LOCATION]", "[JOB]")
response = client.run_job(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = cloudscheduler_pb2.RunJobRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_run_job(self):
# Setup Expected Response
name_2 = 'name2-1052831874'
description = 'description-1724546052'
schedule = 'schedule-697920873'
time_zone = 'timeZone36848094'
expected_response = {
'name': name_2,
'description': description,
'schedule': schedule,
'time_zone': time_zone
}
expected_response = job_pb2.Job(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = scheduler_v1beta1.CloudSchedulerClient(channel=channel)
# Setup Request
name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
response = client.run_job(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = cloudscheduler_pb2.RunJobRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def run_job(self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None):
"""
Forces a job to run now.
When this method is called, Cloud Scheduler will dispatch the job, even
if the job is already running.
Example:
>>> from google.cloud import scheduler_v1beta1
>>>
>>> client = scheduler_v1beta1.CloudSchedulerClient()
>>>
>>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
>>>
>>> response = client.run_job(name)
Args:
name (str): Required.
The job name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
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.scheduler_v1beta1.types.Job` 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 'run_job' not in self._inner_api_calls:
self._inner_api_calls[
'run_job'] = google.api_core.gapic_v1.method.wrap_method(
self.transport.run_job,
default_retry=self._method_configs['RunJob'].retry,
default_timeout=self._method_configs['RunJob'].timeout,
client_info=self._client_info,
)
request = cloudscheduler_pb2.RunJobRequest(name=name, )
return self._inner_api_calls['run_job'](request,
retry=retry,
timeout=timeout,
metadata=metadata)