ltq 0.1.2

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A lightweight, Async-first task queue built on Redis.

Installation

pip install ltq
# or
uv add ltq

Quick Start

import asyncio
import ltq

worker = ltq.Worker(url="redis://localhost:6379")

@worker.task()
async def send_email(to: str, subject: str, body: str) -> None:
    # your async code here
    pass

async def main():
    # Enqueue a task
    await send_email.send("[e-mail]", "Hello", "World")

    # Or enqueue in bulk
    messages = [
        send_email.message("[e-mail]", "Hi", "A"),
        send_email.message("[e-mail]", "Hi", "B"),
    ]
    await send_email.send_bulk(messages)

asyncio.run(main())

Each task gets its own queue by default. To share a queue between tasks, pass queue_name:

@worker.task(queue_name="emails")
async def send_email(...): ...

@worker.task(queue_name="emails")
async def send_newsletter(...): ...

Running Workers

# Run a worker
ltq myapp:worker

# With options
ltq myapp:worker --concurrency 100 --log-level DEBUG

Middleware

Add middleware to handle cross-cutting concerns:

from ltq.middleware import Retry, RateLimit, Timeout

worker = ltq.Worker(
    url="redis://localhost:6379",
    middlewares=[
        Retry(max_retries=3, min_delay=1.0),
        RateLimit(requests_per_second=10),
        Timeout(timeout=30.0),
    ],
)

Built-in: Retry, RateLimit, Timeout, Sentry (requires ltq[sentry])

Custom middleware:

from ltq.middleware import Middleware, Handler
from ltq.message import Message

class Logger(Middleware):
    async def handle(self, message: Message, next_handler: Handler):
        print(f"Processing {message.task}")
        result = await next_handler(message)
        print(f"Completed {message.task}")
        return result