# 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.

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: tensorboard-example-
spec:
  entrypoint: tensorboard-example
  serviceAccountName: pipeline-runner
  templates:
  - name: tensorboard-example
    script:
      image: python:alpine3.6
      command: [python]
      source: |
        import json
        metadata = {
          'outputs' : [{
            'type': 'tensorboard',
            'source': 'gs://ml-pipeline-dataset/tensorboard-train',
          }]
        }
        with open('/mlpipeline-ui-metadata.json', 'w') as f:
          json.dump(metadata, f)
    outputs:
      artifacts:
      - name: mlpipeline-ui-metadata
        path: /mlpipeline-ui-metadata.json
        s3:
          accessKeySecret:
            key: accesskey
            name: mlpipeline-minio-artifact
          bucket: mlpipeline
          endpoint: minio-service.kubeflow:9000
          insecure: true
          key: runs/{{workflow.uid}}/{{pod.name}}/mlpipeline-ui-metadata.tgz
          secretKeySecret:
            key: secretkey
            name: mlpipeline-minio-artifact