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56 lines
2.2 KiB
56 lines
2.2 KiB
3 years ago
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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r"""
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A example workflow for task condition.
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This example will create five task in single workflow, with four shell task and one condition task. Task
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condition have one upstream which we declare explicit with syntax `parent >> condition`, and three downstream
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automatically set dependence by condition task by passing parameter `condition`. The graph of this workflow
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like:
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--> condition_success_1
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/
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parent -> conditions -> --> condition_success_2
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\
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--> condition_fail
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.
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"""
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from pydolphinscheduler.core.process_definition import ProcessDefinition
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from pydolphinscheduler.tasks.condition import FAILURE, SUCCESS, And, Conditions
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from pydolphinscheduler.tasks.shell import Shell
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with ProcessDefinition(name="task_conditions_example", tenant="tenant_exists") as pd:
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parent = Shell(name="parent", command="echo parent")
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condition_success_1 = Shell(
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name="condition_success_1", command="echo condition_success_1"
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)
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condition_success_2 = Shell(
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name="condition_success_2", command="echo condition_success_2"
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)
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condition_fail = Shell(name="condition_fail", command="echo condition_fail")
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cond_operator = And(
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And(
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SUCCESS(condition_success_1, condition_success_2),
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FAILURE(condition_fail),
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),
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)
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condition = Conditions(name="conditions", condition=cond_operator)
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parent >> condition
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pd.submit()
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