📮 A Redis-based abstracted backend (abe) for abstract backend message queue.
Project description
Redis Message Queue Backend for Abstract Backend
A production-ready Redis Streams-based message queue backend implementation for the Abstract Backend project. This backend extends message queue capabilities to support Redis, enabling reliable, scalable, and high-performance Abstract Backend event processing.
Status & Quality
CI/CD & Testing
Code Coverage & Quality
Code Style & Standards
Package Info
Downloads
Overview
abe-redis is a Redis Streams-based message queue backend that integrates seamlessly with the Abstract Backend's component loading mechanism. It provides a reliable, scalable solution for handling Abstract Backend events using Redis as the message queue infrastructure.
Key Features
- 🔌 Plug-and-Play: Install via pip and configure with environment variables
- ⚡ Redis Streams: Modern stream-based message processing with consumer groups
- 🚀 Production Ready: Connection pooling, error handling, and retry logic built-in
- 🔄 Async-First: Built for modern Python async/await patterns
- 📦 Universal Compatibility: Works with any project using the same component loading mechanism
- 🧪 Well Tested: Comprehensive unit and integration tests with high coverage
- 📚 Fully Documented: Complete API reference and usage examples
Python Version Support
Python 3.12, 3.13
Quick Start
Installation
Install the package via pip:
pip install abe-redis
Configuration
Configure your environment to use Redis as the message queue backend:
export QUEUE_BACKEND=redis
export REDIS_URL=redis://localhost:6379/0
Start Redis
Using Docker (recommended):
docker run -d --name test-redis -p 6379:6379 redis:7-alpine
Basic Usage
import asyncio
from abe_plugin.backends.message_queue import RedisMessageQueueBackend
async def main():
# Create backend from environment variables
backend = RedisMessageQueueBackend.from_env()
# Publish a message
await backend.publish("slack:events", {"type": "message", "text": "Hello Redis!"})
# Consume messages
async for message in backend.consume():
print(f"Received: {message}")
break
await backend.close()
asyncio.run(main())
Architecture
The Redis backend uses Redis Streams for reliable message queueing:
- Persistent Storage: Messages stored in Redis Streams with configurable retention
- Consumer Groups: Distributed consumption across multiple workers
- Automatic Acknowledgment: Messages acknowledged after successful processing
- Stream Pattern Matching: Automatically discovers and consumes from
slack:*streams - Connection Pooling: Efficient connection management with configurable pool size
Configuration Options
| Environment Variable | Required | Default | Description |
|---|---|---|---|
QUEUE_BACKEND |
Yes | - | Must be set to redis |
REDIS_URL |
Yes | redis://localhost:6379/0 |
Redis connection URL |
REDIS_PASSWORD |
No | None | Redis authentication password |
REDIS_SSL |
No | false |
Enable SSL/TLS connection |
REDIS_MAX_CONNECTIONS |
No | 10 |
Maximum connection pool size |
REDIS_STREAM_MAXLEN |
No | 10000 |
Maximum stream length for trimming |
Documentation
For comprehensive documentation, including API references, examples, and development guides:
Quick Links
- Introduction
- Quick Start Guide
- Installation Guide
- API Reference
- Development Guide
- CI/CD Documentation
Development
Prerequisites
- Python 3.12 or 3.13
- Redis 6.0+ (7.0+ recommended)
- uv or pip package manager
Setup Development Environment
# Clone the repository
git clone https://github.com/Chisanan232/abe-redis.git
cd abe-redis
# Install dependencies
uv sync
# Start Redis for testing
docker run -d --name redis-dev -p 6379:6379 redis:7-alpine
# Run tests
uv run pytest
# Run tests with coverage
uv run pytest --cov=abe_plugin --cov-report=html
Code Quality
The project follows strict code quality standards:
Run quality checks:
# Format code
uv run black abe_plugin/ test/
# Lint code
uv run pylint abe_plugin/
# Sort imports
uv run isort abe_plugin/ test/
# Type check
uv run mypy abe_plugin/
Contributing
We welcome contributions! Please see our Contributing Guide for details.
How to Contribute
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes
- Run tests and quality checks
- Commit your changes (
git commit -m 'feat: add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Links
- Documentation: https://chisanan232.github.io/abe-redis/
- PyPI Package: https://pypi.org/project/abe-redis/
- Source Code: https://github.com/Chisanan232/abe-redis
- Issue Tracker: https://github.com/Chisanan232/abe-redis/issues
- Abstract Backend: https://github.com/Chisanan232/abstract-backend
Support
If you encounter any issues or have questions:
- 📖 Check the Documentation
- 🐛 Report bugs via GitHub Issues
- 💬 Ask questions in GitHub Discussions
Made with ❤️ for the Abstract Backend ecosystem
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