A versatile Python framework for finite state machines and workflows.
Project description
FlowFSM
Project Overview
FlowFSM is a package for building and managing finite state machines (FSMs). It provides tools for defining states, transitions, events, and workflows, simplifying the development of complex state-driven applications. The framework will be supporting features for configuration, runtime management, and visualization as and when they are developed.
Features
- Flexible State Definition: Define states and transitions with ease using a clear and intuitive interface.
- Event-Driven Transitions: Trigger state transitions based on custom events.
- Workflow Management: Manage complex workflows involving multiple states and transitions.
- Configuration System: Load configurations from various sources, enabling customization.
- Runtime Execution: Execute workflows and handle events efficiently.
TODOs
- Extensible Hooks and Listeners: Extend functionality with custom hooks and listeners.
- Visualization Support: Visualize workflows (future functionality, likely).
- Robust Error Handling: Includes a comprehensive error handling system.
Usage
A simple example showcasing 2 basic workflows can be found in the examples/ directory.
from ..flowfsm.config.parser import parse_fsm_config
from ..flowfsm.config.loader import load_fsm_from_config
from ..flowfsm.runtime.executor import Executor
# Load FSM configuration
config = parse_fsm_config("./config_example.yml")
# Create FSM
workflow = load_fsm_from_config(config)
# Execute FSM
executor = Executor(workflow)
executor.run()
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file flow_fsm-1.0.0.tar.gz.
File metadata
- Download URL: flow_fsm-1.0.0.tar.gz
- Upload date:
- Size: 182.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b437a25b921860d259739e9d4d3c2d146e597ea68eb6bcfd8fddc14e9f7af174
|
|
| MD5 |
7dd16b718b2cb9848a46893feee288b8
|
|
| BLAKE2b-256 |
25992af7a472822e7b7603fd6ef6fa1525873bab5ebf1dce4da24f7a68cce1f9
|
File details
Details for the file flow_fsm-1.0.0-py3-none-any.whl.
File metadata
- Download URL: flow_fsm-1.0.0-py3-none-any.whl
- Upload date:
- Size: 11.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e52a2fc386e392fa1ea52ade329c35bd741c6172a1f0e6610ca680cc0c9341e
|
|
| MD5 |
a8f348b2cca40707fa1cbe527a20630e
|
|
| BLAKE2b-256 |
55ec864cac64f11f4b6840e40d36d7d403df18f305c4d2fb2c8943a44b07802e
|