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Posted to commits@dolphinscheduler.apache.org by GitBox <gi...@apache.org> on 2022/12/16 13:15:02 UTC
[GitHub] [dolphinscheduler-sdk-python] zhongjiajie commented on a diff in pull request #53: [improve] More pythonic way for parameter local_params in class task
zhongjiajie commented on code in PR #53:
URL: https://github.com/apache/dolphinscheduler-sdk-python/pull/53#discussion_r1050748534
##########
src/pydolphinscheduler/examples/parameter_example.py:
##########
@@ -0,0 +1,79 @@
+# 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 tutorial example take you to experience pydolphinscheduler.
+
+After tutorial.py file submit to Apache DolphinScheduler server a DAG would be create,
+and workflow DAG graph as below:
+
+ --> task_child_one
+ / \
+task_parent --> --> task_union
+ \ /
+ --> task_child_two
+
+it will instantiate and run all the task it have.
+"""
+
+# [start tutorial]
+# [start package_import]
+# Import Workflow object to define your workflow attributes
+from pydolphinscheduler.core.workflow import Workflow
+from pydolphinscheduler.core.parameter import ParameterType
+
+# Import task Shell object cause we would create some shell tasks later
+from pydolphinscheduler.tasks.shell import Shell
+from pprint import pprint
+
+# [end package_import]
+
+# [start workflow_declare]
+with Workflow(
+ name="tutorial",
+) as workflow:
+ task = Shell(name="task_parent",
+ command="echo hello pydolphinscheduler",
+ input_params={
+ "value_VARCHAR": "abc",
+ "value_LONG": ParameterType.LONG("1000000"),
Review Comment:
such as long, list, date?
##########
src/pydolphinscheduler/examples/parameter_example.py:
##########
@@ -0,0 +1,79 @@
+# 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 tutorial example take you to experience pydolphinscheduler.
+
+After tutorial.py file submit to Apache DolphinScheduler server a DAG would be create,
+and workflow DAG graph as below:
+
+ --> task_child_one
+ / \
+task_parent --> --> task_union
+ \ /
+ --> task_child_two
+
+it will instantiate and run all the task it have.
+"""
+
+# [start tutorial]
+# [start package_import]
+# Import Workflow object to define your workflow attributes
+from pydolphinscheduler.core.workflow import Workflow
+from pydolphinscheduler.core.parameter import ParameterType
+
+# Import task Shell object cause we would create some shell tasks later
+from pydolphinscheduler.tasks.shell import Shell
+from pprint import pprint
+
+# [end package_import]
+
+# [start workflow_declare]
+with Workflow(
+ name="tutorial",
+) as workflow:
+ task = Shell(name="task_parent",
+ command="echo hello pydolphinscheduler",
+ input_params={
+ "value_VARCHAR": "abc",
+ "value_LONG": ParameterType.LONG("1000000"),
Review Comment:
can we also find some way to auto-convert these parameter to java map?
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