84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
# Copyright 2018 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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from kfp import Client
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import utils
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###### Input/Output Instruction ######
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# input: experiment name, testname, and, namespace
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# Parsing the input arguments
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def parse_arguments():
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"""Parse command line arguments."""
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parser = argparse.ArgumentParser()
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parser.add_argument('--experiment',
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type=str,
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required=True,
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help='The experiment name')
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parser.add_argument('--testname',
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type=str,
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required=True,
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help="Test name")
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parser.add_argument('--namespace',
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type=str,
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default='kubeflow',
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help="namespace of the deployed pipeline system. Default: kubeflow")
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parser.add_argument('--result',
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type=str,
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required=True,
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help='The path of the test result that will be exported.')
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args = parser.parse_args()
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return args
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def main():
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args = parse_arguments()
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test_cases = []
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test_name = args.testname + ' Sample Test'
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###### Initialization ######
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host = 'ml-pipeline.%s.svc.cluster.local:8888' % args.namespace
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client = Client(host=host)
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###### Get experiments ######
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experiment_id = client.get_experiment(experiment_name=args.experiment).id
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###### Get runs ######
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list_runs_response = client.list_runs(page_size=1000, experiment_id=experiment_id)
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###### Check all runs ######
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for run in list_runs_response.runs:
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run_id = run.id
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response = client.wait_for_run_completion(run_id, 1200)
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succ = (response.run.status.lower()=='succeeded')
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utils.add_junit_test(test_cases, 'job completion', succ, 'waiting for job completion failure')
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###### Output Argo Log for Debugging ######
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workflow_json = client._get_workflow_json(run_id)
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workflow_id = workflow_json['metadata']['name']
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argo_log, _ = utils.run_bash_command('argo logs -n {} -w {}'.format(args.namespace, workflow_id))
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print("=========Argo Workflow Log=========")
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print(argo_log)
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if not succ:
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utils.write_junit_xml(test_name, args.result, test_cases)
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exit(1)
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###### Write out the test result in junit xml ######
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utils.write_junit_xml(test_name, args.result, test_cases)
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if __name__ == "__main__":
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main()
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