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Jiajie Zhong fb772c328d [python] Change name to_string to __str__ and add __repr__ (#8830 ) * Change `yaml_parser.py` method `to_string` to magic method `__str__` make it more pythonic. * Add some tests to magic method `__str__` and `__repr__`		2022-03-12 20:36:51 +08:00
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docs	[python] Add mechanism cli only with version as subcommand (#8516 )	2022-02-24 16:05:55 +08:00
src/pydolphinscheduler	[python] Change name to_string to __str__ and add __repr__ (#8830 )	2022-03-12 20:36:51 +08:00
tests	[python] Change name to_string to __str__ and add __repr__ (#8830 )	2022-03-12 20:36:51 +08:00
.coveragerc	[python] Increase UT coverage threshold to 0.9 (#8660 )	2022-03-03 12:20:34 +08:00
.flake8	[python] Initiate document for pydolphinscheduler (#8005 )	2022-01-26 12:37:57 +08:00
.isort.cfg	[ci][python] Add isort to sort out import (#6871 )	2021-11-17 11:48:52 +08:00
DEVELOP.md	[python] Change name to_string to __str__ and add __repr__ (#8830 )	2022-03-12 20:36:51 +08:00
LICENSE	[python] Add LICENSE and NOTICE to python dist package (#8768 )	2022-03-09 19:50:43 +08:00
NOTICE	[python] Add LICENSE and NOTICE to python dist package (#8768 )	2022-03-09 19:50:43 +08:00
pytest.ini	Add CI test for python API (#6636 )	2021-11-04 11:19:11 +08:00
README.md	[python] Add mechanism cli only with version as subcommand (#8516 )	2022-02-24 16:05:55 +08:00
RELEASE.md	[python] Clean deps and prepare release (#8210 )	2022-01-28 10:12:00 +08:00
setup.cfg	Add Python API implementation of workflows-as-code (#6269 )	2021-10-31 20:35:46 +08:00
setup.py	[python] refactor yaml file parser (#8701 )	2022-03-07 11:42:28 +08:00
UPDATING.md	[python] Change name to_string to __str__ and add __repr__ (#8830 )	2022-03-12 20:36:51 +08:00

README.md

pydolphinscheduler

PyDolphinScheduler is python API for Apache DolphinScheduler, which allow you definition your workflow by python code, aka workflow-as-codes.

Quick Start

Installation

# Install
$ pip install apache-dolphinscheduler

# Verify installation is successful, it will show the version of apache-dolphinscheduler, here we use 0.1.0 as example
$ pydolphinscheduler version
0.1.0

Here we show you how to install and run a simple example of pydolphinscheduler

Start Server And Run Example

Before you run an example, you have to start backend server. You could follow development setup section "DolphinScheduler Standalone Quick Start" to set up developer environment. You have to start backend and frontend server in this step, which mean that you could view DolphinScheduler UI in your browser with URL http://localhost:12345/dolphinscheduler

After backend server is being start, all requests from pydolphinscheduler would be sent to backend server. And for now we could run a simple example by:

# Please make sure your terminal could 
curl https://raw.githubusercontent.com/apache/dolphinscheduler/dev/dolphinscheduler-python/pydolphinscheduler/examples/tutorial.py -o ./tutorial.py
python ./tutorial.py

NOTICE: Since Apache DolphinScheduler's tenant is requests while running command, you might need to change tenant value in example/tutorial.py. For now the value is tenant_exists, please change it to username exists in you environment.

After command execute, you could see a new project with single process definition named tutorial in the UI-project list.

Develop

Until now, we finish quick start by an example of pydolphinscheduler and run it. If you want to inspect or join pydolphinscheduler develop, you could take a look at develop

Release

If you are interested in how to release PyDolphinScheduler, you could go and see at release

What's more

For more detail information, please go to see PyDolphinScheduler document