pipelines/backend/api/python_http_client/test/test_api_job.py

91 lines
3.7 KiB
Python

# coding: utf-8
"""
Kubeflow Pipelines API
This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.
Contact: kubeflow-pipelines@google.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import datetime
import kfp_server_api
from kfp_server_api.models.api_job import ApiJob # noqa: E501
from kfp_server_api.rest import ApiException
class TestApiJob(unittest.TestCase):
"""ApiJob unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def make_instance(self, include_optional):
"""Test ApiJob
include_option is a boolean, when False only required
params are included, when True both required and
optional params are included """
# model = kfp_server_api.models.api_job.ApiJob() # noqa: E501
if include_optional :
return ApiJob(
id = '0',
name = '0',
description = '0',
pipeline_spec = kfp_server_api.models.api_pipeline_spec.apiPipelineSpec(
pipeline_id = '0',
pipeline_name = '0',
workflow_manifest = '0',
pipeline_manifest = '0',
parameters = [
kfp_server_api.models.api_parameter.apiParameter(
name = '0',
value = '0', )
], ),
resource_references = [
kfp_server_api.models.api_resource_reference.apiResourceReference(
key = kfp_server_api.models.api_resource_key.apiResourceKey(
type = 'UNKNOWN_RESOURCE_TYPE',
id = '0', ),
name = '0',
relationship = 'UNKNOWN_RELATIONSHIP', )
],
service_account = '0',
max_concurrency = '0',
trigger = kfp_server_api.models.api_trigger.apiTrigger(
cron_schedule = kfp_server_api.models.cron_schedule_allow_scheduling_the_job_with_unix_like_cron.CronSchedule allow scheduling the job with unix-like cron(
start_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
end_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
cron = '0', ),
periodic_schedule = kfp_server_api.models.periodic_schedule_allow_scheduling_the_job_periodically_with_certain_interval.PeriodicSchedule allow scheduling the job periodically with certain interval(
start_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
end_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
interval_second = '0', ), ),
mode = 'UNKNOWN_MODE',
created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
status = '0',
error = '0',
enabled = True,
no_catchup = True
)
else :
return ApiJob(
)
def testApiJob(self):
"""Test ApiJob"""
inst_req_only = self.make_instance(include_optional=False)
inst_req_and_optional = self.make_instance(include_optional=True)
if __name__ == '__main__':
unittest.main()