oautom 1.0.1

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OAutom

oautom is educational workflow engine implementation able to run step by step treatment using directed acyclic graph (dag).

It's not designed to use in production environment :

• this workflow engine is not safe because all the state are stored in-memory
• this workflow engine does not support Flow execution concurrency
• this workflow engine does not support to give parameter to an execution
• this workflow engine does not implement variable forwarding between execution step
• this workflow engine does not implement dag integrity checking

if you are looking for a mature workflow engine, you should take a look to airflow from which oautom reuse the declarative API.

Getting started

oautom = OAutom(mode=OAutomMode.background)

flow = Flow('flow 1', app=oautom)
step1 = BashExecution('execution 1', flow=flow, command='touch /tmp/file1')
step2 = BashExecution('sleep', flow=flow, command='sleep 60')
step3 = BashExecution('execution 2', flow=flow, command='touch /tmp/file2')
step2.depends(step1)
step3.depends(step2)

more examples in oautom/examples

Concepts

• Execution should run async command in run and check completion through check
  • BashExecution allows to run shell command
• a Flow is a directed acyclic graph of steps
• a Vect is a running instance of a Flow
• only one instance of each Flow may run in same time

System requirements

The following requirements has to be setup on your host before running the command from this repository.

• python 3.6 at least
• pipenv

Install the python dependencies

make install_requirements_dev
make start

The latest version

You can find the latest version to ...

git clone https://github.com/FabienArcellier/oautom.git

more information on how to use oautom in oautom/examples

Usage

pip install https://github.com/FabienArcellier/oautom.git

Contributing

Install development environment

Use make to instanciate a python virtual environment in ./venv3 and install the python dependencies.

make install_requirements_dev

Freeze the library requirements

If you want to freeze all the packages, use this procedure

make freeze_requirements

Activate the python environment

When you setup the requirements, a venv3 directory on python 3 is created. To activate the venv, you have to execute /

make activate

Run the linter and the unit tests

Before commit or send a pull request, you have to execute pylint to check the syntax of your code and run the unit tests to validate the behavior.

make lint
make tests

Contributors

• Fabien Arcellier

License

A short snippet describing the license (MIT, Apache, etc.)