taskshed 0.8.2

A high-performance, asynchronous, ready for production task scheduling framework written in Python.

TaskShed

A high-performance, asynchronous, ready for production job scheduling framework.

TaskShed provides a simple API to schedule your Python coroutines for later execution. You can run tasks just once or on a recurring interval. The scheduler is dynamic, allowing you to add, update or remove tasks on the fly. Furthermore, by connecting to a persistent datastore, TaskShed ensures your tasks survive restarts and automatically catches up on any executions that were missed while the system was offline.

The key features are:

• Fast: TaskShed has a very low latency, overhead and can execute several thousands tasks a second.
• Distributed: TaskShed has the capacity to spawn several workers and schedules across many machines, while also providing optimisation for monolinth architectures.
• Persistant: Tasks are stored in database, meaning that they won't get dropped on shutdown. TaskShed currently supports Redis and MySQL.
• Easy: TaskShed's modular architecture is straightforward and easy to set-up, and works in any asynchronous environement.

Installation 🔧

Install the core package using pip:

pip install taskshed

TaskShed has no extra dependencies beyond its core framework. However, if you want persistent task storage, you’ll need to install one of the optional backends. TaskShed currently supports Redis and MySQL. You can install the appropriate driver using:

pip install "taskshed[redis]"

or

pip install "taskshed[mysql]"

Quick Start 🏁

Here's a simple example of scheduling a task to run in 5 seconds.

from datetime import datetime, timedelta
from taskshed.datastores import InMemoryDataStore
from taskshed.schedulers import AsyncScheduler
from taskshed.workers import EventDrivenWorker


async def say_hello(name: str):
    print(f"Hello, {name}!")


datastore = InMemoryDataStore()
worker = EventDrivenWorker(callback_map={"say_hello": say_hello}, datastore=datastore)
scheduler = AsyncScheduler(datastore=datastore, worker=worker)


async def main():
    await scheduler.start()
    await worker.start()
    await scheduler.add_task(
        callback="say_hello",
        run_at=datetime.now() + timedelta(seconds=3),
        kwargs={"name": "World"},
    )


if __name__ == "__main__":
    import asyncio

    loop = asyncio.new_event_loop()
    loop.create_task(main())
    loop.run_forever()

Documentation 📚

https://chase-labs.github.io/taskshed/

Contributing 🤝

Contributions are welcome! Please feel free to submit a pull request or open an issue.

License 📜

This project is licensed under the MIT License.