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"License"); you may not use this file except in compliance
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# pydolphinscheduler
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[](https://pypi.org/project/apache-dolphinscheduler/)
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[](https://pypi.org/project/apache-dolphinscheduler/)
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[](https://pypi.org/project/apache-dolphinscheduler/)
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[](https://pypi.org/project/apache-dolphinscheduler/)
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[](https://pypi.org/project/apache-dolphinscheduler/)
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[](https://github.com/psf/black)
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[](https://pycqa.github.io/isort)
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[](https://github.com/apache/dolphinscheduler/actions?query=workflow%3A%22Python+API%22)
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**PyDolphinScheduler** is python API for Apache DolphinScheduler, which allow you definition
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your workflow by python code, aka workflow-as-codes.
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## Quick Start
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### Installation
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```shell
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# Install
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python -m pip install apache-dolphinscheduler
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# Verify installation is successful, it will show the version of apache-dolphinscheduler, here we use 0.1.0 as example
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pydolphinscheduler version
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# 0.1.0
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```
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Here we show you how to install and run a simple example of pydolphinscheduler
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### Start Server And Run Example
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Before you run an example, you have to start backend server. You could follow
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[development setup](https://dolphinscheduler.apache.org/en-us/development/development-environment-setup.html)
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section "DolphinScheduler Standalone Quick Start" to set up developer environment. You have to start backend
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and frontend server in this step, which mean that you could view DolphinScheduler UI in your browser with URL
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http://localhost:12345/dolphinscheduler
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After backend server is being start, all requests from `pydolphinscheduler` would be sent to backend server.
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And for now we could run a simple example by:
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<!-- TODO Add examples directory to dist package later. -->
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```shell
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# Please make sure your terminal could
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curl https://raw.githubusercontent.com/apache/dolphinscheduler/dev/dolphinscheduler-python/pydolphinscheduler/examples/tutorial.py -o ./tutorial.py
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python ./tutorial.py
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```
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> **_NOTICE:_** Since Apache DolphinScheduler's tenant is requests while running command, you might need to change
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> tenant value in `example/tutorial.py`. For now the value is `tenant_exists`, please change it to username exists
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> in you environment.
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After command execute, you could see a new project with single process definition named *tutorial* in the
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[UI-project list](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/project/project-list.html).
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## Develop
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Until now, we finish quick start by an example of pydolphinscheduler and run it. If you want to inspect or join
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pydolphinscheduler develop, you could take a look at [develop](./DEVELOP.md)
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## Release
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If you are interested in how to release **PyDolphinScheduler**, you could go and see at [release](./RELEASE.md)
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## What's more
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For more detail information, please go to see **PyDolphinScheduler** [document](https://dolphinscheduler.apache.org/python/index.html)
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