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A Python State Machine library based on Statecharts and UML

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Warning

This is a work in progress and is not ready for production use yet. The API and implementation are subject to changes on minor versions.
See the Roadmap for planned features and the Contributing section for ways to contribute.

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StateForward

StateForward Python: Simplifying Complexity, One State at a Time.
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Table of Contents

About StateForward Python

StateForward Python is where code complexity meets simplicity. This library is your ally in evolving spaghetti code into elegant, robust state machines. Say goodbye to the dense forest of if-else statements and welcome a world where adding features doesn’t mean unraveling a complex knot.

With StateForward Python, you’re building on solid ground. Your code becomes a clear map of states and transitions, making it easily extendable and a joy to maintain. It's about writing software that grows with grace, ensuring that your project's future is as structured and reliable as its present.

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Installation

Pip

  1. Install the package
    pip install stateforward

Manually

  1. Clone the repo
    git clone https://github.com/stateforward/stateforward_python.git
  2. Initialize virtual environment
    poetry shell 
  3. Install dev dependencies
    poetry install

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Usage

import stateforward as sf
import asyncio


class OnEvent(sf.Event):
    pass


class OffEvent(sf.Event):
    pass


class LightSwitch(sf.AsyncStateMachine):
    class On(sf.State):
        @sf.decorators.behavior
        async def entry(self, event: OnEvent):
            print("Light on entry")

        @sf.decorators.behavior
        async def exit(self, event: OffEvent):
            print("Light on exit")

    class Off(sf.State):
        @sf.decorators.behavior
        async def entry(self, event: OnEvent):
            print("Light off entry")

        @sf.decorators.behavior
        async def exit(self, event: OffEvent):
            print("Light off exit")

    initial = sf.initial(Off)
    transitions = sf.collection(
        sf.transition(OnEvent, source=Off, target=On),
        sf.transition(OffEvent, source=On, target=Off),
    )


async def main():
    # instantiate a light switch
    light_switch = LightSwitch()
    # start the interpreter and wait for it to be settled
    await light_switch.interpreter.start()
    # output the current states of the state machine
    print(light_switch.state)
    # dispatch a OnEvent to the state machine
    await sf.send(OnEvent(), light_switch)
    # output the current states of the state machine
    print(light_switch.state)
    # dispatch a OffEvent to the state machine
    await sf.send(OffEvent(), light_switch)
    print(light_switch.state)


asyncio.run(main())

For more examples, please refer to the Documentation

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Your Name - @twitter_handle - email@email_client.com

Project Link: https://github.com/github_username/repo_name

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Acknowledgments

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A Python State Machine library based on Statecharts and UML

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