Metadata-Version: 2.1
Name: finite-state-machine
Version: 0.3.0
Summary: Lightweight, decorator-based implementation of a Finite State Machine
Home-page: https://github.com/alysivji/finite-state-machine
License: MIT
Keywords: finite-state-machine finite-automata state-machine
Author: Aly Sivji
Author-email: alysivji@gmail.com
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy

# Finite State Machine

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Lightweight, decorator-based Python implementation of a [Finite State Machine](https://en.wikipedia.org/wiki/Finite-state_machine).

#### Table of Contents

<!-- TOC -->

- [Installation](#installation)
- [Usage](#usage)
- [Example](#example)
- [State Diagram](#state-diagram)
- [Contributing](#contributing)
- [Inspiration](#inspiration)

<!-- /TOC -->

## Installation

```console
pip install finite-state-machine
```

## Usage

Subclass `StateMachine` and set the `state` instance variable:

```python
from finite_state_machine import StateMachine, transition

class LightSwitch(StateMachine):
    def __init__(self):
        self.state = "off"
        super().__init__()
```

The `transition` decorator can be used to specify valid state transitions
with an optional parameter for `conditions`.
All condition functions need to return `True` for the transition to occur,
else a `ConditionNotMet` exception will be raised.

```python
    @transition(source="off", target="on", conditions=[light_is_off])
    def turn_on(self):
        # specify side effects

def light_is_off(machine):
    return machine.state == "off"
```

Can also specify an `on_error` parameter to handle situations
where the transition function raises an exception:

```python
    @transition(source="off", target="on", on_error="failed")
    def turn_on(self):
        raise ValueError
```

## Example

```python
from finite_state_machine import StateMachine, transition

class Turnstile(StateMachine):
    initial_state = "close"

    def __init__(self):
        self.state = self.initial_state
        super().__init__()

    @transition(source=["close", "open"], target="open")
    def insert_coin(self):
        pass

    @transition(source="open", target="close")
    def pass_thru(self):
        pass
```

### REPL

```console
In [2]: turnstile = Turnstile()

In [3]: turnstile.state
Out[3]: 'close'

In [4]: turnstile.insert_coin()

In [5]: turnstile.state
Out[5]: 'open'

In [6]: turnstile.insert_coin()

In [7]: turnstile.state
Out[7]: 'open'

In [8]: turnstile.pass_thru()

In [9]: turnstile.state
Out[9]: 'close'

In [10]: turnstile.pass_thru()
---------------------------------------------------------------------------
InvalidStartState                         Traceback (most recent call last)
<ipython-input-10-6abc6f4be1cd> in <module>
----> 1 turnstile.pass_thru()

~/state_machine.py in _wrapper(*args, **kwargs)
     32
     33             if self.state not in source:
---> 34                 raise InvalidStartState
     35
     36             for condition in conditions:

InvalidStartState:
```

The [examples](/examples) folder contains additional workflows.

## State Diagram

State Machine workflows can be visualized using a
[state diagram](https://en.wikipedia.org/wiki/State_diagram).

`finite-state-machine` generates diagrams using
[Mermaid Markdown syntax](https://mermaid-js.github.io),
which can be viewed using the
[Mermaid Live Editor](https://mermaid-js.github.io/mermaid-live-editor).

Use the `fsm_draw_state_diagram` command and point to
State Machine workflow class
that inheritences from `StateMachine`.

```console
# class parameter is required
$ fsm_draw_state_diagram --class examples.turnstile:Turnstile

# initial_state parameter is optional
$ fsm_draw_state_diagram --class examples.turnstile:Turnstile --initial_state close
```

## Contributing

1. Clone repo
1. Create a virtual environment
1. `pip install -r requirements_dev.txt`
1. Install [pre-commit](https://pre-commit.com/)
1. Set up pre-commit hooks in repo: `pre-commit install`

To install a package locally for development, run:

```console
flit install [--symlink] [--python path/to/python]
```

### Running Tests

```console
pytest
```

## Inspiration

This project is inspired by
[django-fsm](https://github.com/viewflow/django-fsm/).
I wanted a decorator-based state machine without having to use Django.

