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README.md
⚔️ Falyx
Falyx is a battle-ready, introspectable CLI framework for building resilient, asynchronous workflows with:
- ✅ Modular action chaining and rollback
- 🔁 Built-in retry handling
- ⚙️ Full lifecycle hooks (before, after, success, error, teardown)
- 📊 Execution tracing, logging, and introspection
- 🧙♂️ Async-first design with Process support
- 🧩 Extensible CLI menus and customizable output
Built for developers who value clarity, resilience, and visibility in their terminal workflows.
✨ Why Falyx?
Modern CLI tools deserve the same resilience as production systems. Falyx makes it easy to:
- Compose workflows using
Action
,ChainedAction
, orActionGroup
- Inject the result of one step into the next (
last_result
) - Handle flaky operations with retries and exponential backoff
- Roll back safely on failure with structured undo logic
- Add observability with execution timing, result tracking, and hooks
- Run in both interactive and headless (scriptable) modes
- Customize output with Rich
Table
s (grouping, theming, etc.)
🔧 Installation
pip install falyx
Or install from source:
git clone https://github.com/yourname/falyx.git
cd falyx
poetry install
⚡ Quick Example
import asyncio
import random
from falyx import Falyx, Action, ChainedAction
# A flaky async step that fails randomly
async def flaky_step():
await asyncio.sleep(0.2)
if random.random() < 0.5:
raise RuntimeError("Random failure!")
return "ok"
# Create the actions
step1 = Action(name="step_1", action=flaky_step, retry=True)
step2 = Action(name="step_2", action=flaky_step, retry=True)
# Chain the actions
chain = ChainedAction(name="my_pipeline", actions=[step1, step2])
# Create the CLI menu
falyx = Falyx("🚀 Falyx Demo")
falyx.add_command(
key="R",
description="Run My Pipeline",
action=chain,
logging_hooks=True,
# shows preview before confirmation
preview_before_confirm=True,
confirm=True,
)
# Entry point
if __name__ == "__main__":
asyncio.run(falyx.run())
❯ python simple.py
🚀 Falyx Demo
[R] Run My Pipeline
[Y] History [Q] Exit
>
❯ python simple.py run R
Command: 'R' — Run My Pipeline
└── ⛓ ChainedAction 'my_pipeline'
├── ⚙ Action 'step_1'
│ ↻ Retries: 3x, delay 1.0s, backoff 2.0x
└── ⚙ Action 'step_2'
↻ Retries: 3x, delay 1.0s, backoff 2.0x
Confirm execution of R — Run My Pipeline (calls `my_pipeline`) [Y/n] y
[2025-04-15 22:03:57] WARNING ⚠️ Retry attempt 1/3 failed due to 'Random failure!'.
✅ Result: ['ok', 'ok']
📦 Core Features
- ✅ Async-native
Action
,ChainedAction
,ActionGroup
- 🔁 Retry policies + exponential backoff
- ⛓ Rollbacks on chained failures
- 🎛️ Headless or interactive CLI with argparse and prompt_toolkit
- 📊 Built-in execution registry, result tracking, and timing
- 🧠 Supports
ProcessAction
for CPU-bound workloads - 🧩 Custom
Table
rendering for CLI menu views - 🔍 Hook lifecycle:
before
,on_success
,on_error
,after
,on_teardown
🔍 Execution Trace
[2025-04-14 10:33:22] DEBUG [Step 1] ⚙ flaky_step()
[2025-04-14 10:33:22] INFO [Step 1] 🔁 Retrying (1/3) in 1.0s...
[2025-04-14 10:33:23] DEBUG [Step 1] ✅ Success | Result: ok
[2025-04-14 10:33:23] DEBUG [My Pipeline] ✅ Result: ['ok', 'ok']
🧱 Core Building Blocks
Action
A single async unit of work. Can retry, roll back, or inject prior results.
ChainedAction
Run tasks in sequence. Supports rollback on failure and context propagation.
ActionGroup
Run tasks in parallel. Useful for fan-out operations like batch API calls.
ProcessAction
Offload CPU-bound work to another process — no extra code needed.
Falyx
Your CLI controller — powers menus, subcommands, history, bottom bars, and more.
ExecutionContext
Tracks metadata, arguments, timing, and results for each action execution.
HookManager
Registers and triggers lifecycle hooks (before
, after
, on_error
, etc.) for actions and commands.
🧠 Design Philosophy
“Like a phalanx: organized, resilient, and reliable.”
Falyx is designed for developers who don’t just want CLI tools to run — they want them to fail meaningfully, recover gracefully, and log clearly.
🛣️ Roadmap
- Metrics export (Prometheus-style)
- Plugin system for menu extensions
- Native support for structured logs + log forwarding
- Web UI for interactive execution history (maybe!)
🧑💼 License
MIT — use it, fork it, improve it. Attribution appreciated!