112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
# Copyright 2018 Google LLC
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
|
|
import argparse
|
|
import os
|
|
from datetime import datetime
|
|
from kfp import Client
|
|
import utils
|
|
|
|
###### Input/Output Instruction ######
|
|
# input: yaml
|
|
# output: local file path
|
|
|
|
|
|
# Parsing the input arguments
|
|
def parse_arguments():
|
|
"""Parse command line arguments."""
|
|
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('--input',
|
|
type=str,
|
|
required=True,
|
|
help='The path of a pipeline package that will be submitted.')
|
|
parser.add_argument('--result',
|
|
type=str,
|
|
required=True,
|
|
help='The path of the test result that will be exported.')
|
|
parser.add_argument('--output',
|
|
type=str,
|
|
required=True,
|
|
help='The path of the test output')
|
|
parser.add_argument('--testname',
|
|
type=str,
|
|
required=True,
|
|
help="Test name")
|
|
parser.add_argument('--namespace',
|
|
type=str,
|
|
default='kubeflow',
|
|
help="namespace of the deployed pipeline system. Default: kubeflow")
|
|
args = parser.parse_args()
|
|
return args
|
|
|
|
def main():
|
|
args = parse_arguments()
|
|
test_cases = []
|
|
test_name = args.testname + ' Sample Test'
|
|
|
|
###### Initialization ######
|
|
host = 'ml-pipeline.%s.svc.cluster.local:8888' % args.namespace
|
|
client = Client(host=host)
|
|
|
|
###### Check Input File ######
|
|
utils.add_junit_test(test_cases, 'input generated yaml file', os.path.exists(args.input), 'yaml file is not generated')
|
|
if not os.path.exists(args.input):
|
|
utils.write_junit_xml(test_name, args.result, test_cases)
|
|
print('Error: job not found.')
|
|
exit(1)
|
|
|
|
###### Create Experiment ######
|
|
experiment_name = args.testname + ' sample experiment'
|
|
response = client.create_experiment(experiment_name)
|
|
experiment_id = response.id
|
|
utils.add_junit_test(test_cases, 'create experiment', True)
|
|
|
|
###### Create Job ######
|
|
job_name = args.testname +'_sample'
|
|
params = {}
|
|
response = client.run_pipeline(experiment_id, job_name, args.input, params)
|
|
run_id = response.id
|
|
utils.add_junit_test(test_cases, 'create pipeline run', True)
|
|
|
|
###### Monitor Job ######
|
|
try:
|
|
start_time = datetime.now()
|
|
response = client.wait_for_run_completion(run_id, 1200)
|
|
succ = (response.run.status.lower()=='succeeded')
|
|
end_time = datetime.now()
|
|
elapsed_time = (end_time - start_time).seconds
|
|
utils.add_junit_test(test_cases, 'job completion', succ, 'waiting for job completion failure', elapsed_time)
|
|
finally:
|
|
###### Output Argo Log for Debugging ######
|
|
workflow_json = client._get_workflow_json(run_id)
|
|
workflow_id = workflow_json['metadata']['name']
|
|
argo_log, _ = utils.run_bash_command('argo logs -n {} -w {}'.format(args.namespace, workflow_id))
|
|
print("=========Argo Workflow Log=========")
|
|
print(argo_log)
|
|
|
|
if not succ:
|
|
utils.write_junit_xml(test_name, args.result, test_cases)
|
|
exit(1)
|
|
|
|
###### Delete Job ######
|
|
#TODO: add deletion when the backend API offers the interface.
|
|
|
|
###### Write out the test result in junit xml ######
|
|
utils.write_junit_xml(test_name, args.result, test_cases)
|
|
|
|
if __name__ == "__main__":
|
|
main()
|