Does this skill support FastAPI's async features?

Yes, it includes specific templates for FastAPI that integrate with lifespan events and support asynchronous task definitions and Pydantic validation.

Which message brokers are supported?

The skill provides detailed configuration patterns and connectivity tests for both Redis (standard for simplicity) and RabbitMQ (advanced routing).

Is there support for periodic tasks?

Yes, it includes beat-schedule.py templates for configuring Celery Beat with crontab, interval, and solar schedules for automated maintenance tasks.

Can I use this for standalone Python scripts?

Absolutely, the skill provides a standalone template specifically for Python projects that do not use a web framework.

How does framework detection work?

The skill uses automated scripts to analyze your project structure for signature files like manage.py, app.py, or main.py to recommend the correct integration pattern.

Celery Configuration Patterns

Name: Celery Configuration Patterns
Author: vanman2024

byvanman2024

Desarrollo de API

Provides production-ready Celery task queue configurations and integration templates for Django, Flask, FastAPI, and standalone Python applications.

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Celery Configuration Patterns is a specialized skill designed to streamline the setup and optimization of distributed task queues in Python environments. It offers a comprehensive suite of templates and scripts to help developers quickly implement best practices for Celery, including auto-detecting web frameworks, configuring Redis or RabbitMQ brokers, and setting up periodic tasks with Celery Beat. This skill is particularly useful during initial project setup, migrating to production environments, or when implementing complex task routing and monitoring to ensure reliable background processing across diverse infrastructures.

Características Principales

Automated configuration validation and broker connectivity testing
Ready-to-use Celery Beat scheduling templates for periodic tasks
Framework auto-detection for Django, Flask, and FastAPI
Advanced task patterns including retries, rate limiting, and priority queues
Production-grade Redis and RabbitMQ broker configurations
0 GitHub stars

Casos de Uso

Configuring secure, production-ready message brokers like Redis or RabbitMQ
Validating and testing task queue connectivity and syntax before deployment
Integrating Celery with a new or existing Django or FastAPI project

Acerca de

Características Principales

Automated configuration validation and broker connectivity testing
Ready-to-use Celery Beat scheduling templates for periodic tasks
Framework auto-detection for Django, Flask, and FastAPI
Advanced task patterns including retries, rate limiting, and priority queues
Production-grade Redis and RabbitMQ broker configurations
0 GitHub stars

Casos de Uso

Configuring secure, production-ready message brokers like Redis or RabbitMQ
Validating and testing task queue connectivity and syntax before deployment
Integrating Celery with a new or existing Django or FastAPI project