| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| |
| # [start workflow_declare] |
| """A example workflow for task sagemaker.""" |
| import json |
| |
| from pydolphinscheduler.core.workflow import Workflow |
| from pydolphinscheduler.tasks.sagemaker import SageMaker |
| |
| sagemaker_request_data = { |
| "ParallelismConfiguration": {"MaxParallelExecutionSteps": 1}, |
| "PipelineExecutionDescription": "test Pipeline", |
| "PipelineExecutionDisplayName": "AbalonePipeline", |
| "PipelineName": "AbalonePipeline", |
| "PipelineParameters": [ |
| {"Name": "ProcessingInstanceType", "Value": "ml.m4.xlarge"}, |
| {"Name": "ProcessingInstanceCount", "Value": "2"}, |
| ], |
| } |
| |
| with Workflow( |
| name="task_sagemaker_example", |
| ) as workflow: |
| task_sagemaker = SageMaker( |
| name="task_sagemaker", |
| sagemaker_request_json=json.dumps(sagemaker_request_data, indent=2), |
| ) |
| |
| workflow.run() |
| # [end workflow_declare] |