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- # 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.
- r"""
- A example workflow for task condition.
- This example will create five task in single workflow, with four shell task and one condition task. Task
- condition have one upstream which we declare explicit with syntax `parent >> condition`, and three downstream
- automatically set dependence by condition task by passing parameter `condition`. The graph of this workflow
- like:
- pre_task_1 -> -> success_branch
- \ /
- pre_task_2 -> -> conditions ->
- / \
- pre_task_3 -> -> fail_branch
- .
- """
- from pydolphinscheduler.core.process_definition import ProcessDefinition
- from pydolphinscheduler.tasks.condition import FAILURE, SUCCESS, And, Conditions
- from pydolphinscheduler.tasks.shell import Shell
- with ProcessDefinition(name="task_conditions_example", tenant="tenant_exists") as pd:
- pre_task_1 = Shell(name="pre_task_1", command="echo pre_task_1")
- pre_task_2 = Shell(name="pre_task_2", command="echo pre_task_2")
- pre_task_3 = Shell(name="pre_task_3", command="echo pre_task_3")
- cond_operator = And(
- And(
- SUCCESS(pre_task_1, pre_task_2),
- FAILURE(pre_task_3),
- ),
- )
- success_branch = Shell(name="success_branch", command="echo success_branch")
- fail_branch = Shell(name="fail_branch", command="echo fail_branch")
- condition = Conditions(
- name="conditions",
- condition=cond_operator,
- success_task=success_branch,
- failed_task=fail_branch,
- )
- pd.submit()
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