How do I define a new background task?

Use the @task decorator on an async function and specify options like max retries or specific error types to retry on.

What happens if a task fails?

The module automatically retries the task based on your configuration. If all retries fail, the task state is marked as 'failed' and the error traceback is stored for debugging.

What is the Myfy TasksModule?

It is a specialized module for managing asynchronous background tasks using a SQL database as a queue, featuring automatic retries and dependency injection.

Can I track the progress of a running task?

Yes, you can use the TaskContext inside your task to update progress percentages and status messages, which can then be queried by the caller.

Does this support priority-based execution?

Yes, tasks can be dispatched with a specific priority level, allowing critical jobs to be processed by workers before lower-priority items.

Myfy Background Tasks Module

Name: Myfy Background Tasks Module
Author: psincraian

bypsincraian

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API Development

Implements robust SQL-based background job processing and task worker management for Python applications.

About

The Myfy TasksModule provides a comprehensive solution for handling asynchronous background jobs with automatic retries, dependency injection, and SQL-based queue management. It enables developers to define tasks using simple decorators, dispatch them with priorities and delays, and monitor execution progress via a dedicated TaskContext. Ideal for long-running processes like email delivery, data synchronization, or heavy computational tasks, it integrates seamlessly into the Myfy framework ecosystem to ensure reliable, scalable job execution with full observability into task states.

Key Features

Real-time progress reporting and status updates via TaskContext
Dedicated CLI worker command with configurable concurrency and polling
83 GitHub stars
SQL-based task queuing with automatic retry logic and custom error handling
Flexible dispatching with support for task priorities, delays, and timeouts
Seamless Dependency Injection (DI) for task-scoped services and sessions

Use Cases

Implementing reliable third-party API integrations that require persistence and retries
Offloading high-volume asynchronous operations like automated email notifications
Processing long-running data migrations or user imports with real-time progress tracking

About

Key Features

Real-time progress reporting and status updates via TaskContext
Dedicated CLI worker command with configurable concurrency and polling
83 GitHub stars
SQL-based task queuing with automatic retry logic and custom error handling
Flexible dispatching with support for task priorities, delays, and timeouts
Seamless Dependency Injection (DI) for task-scoped services and sessions

Use Cases

Implementing reliable third-party API integrations that require persistence and retries
Offloading high-volume asynchronous operations like automated email notifications
Processing long-running data migrations or user imports with real-time progress tracking