syeedalireza/api-rate-limiter-bundle
最新稳定版本:v1.0.0
Composer 安装命令:
composer require syeedalireza/api-rate-limiter-bundle
包简介
Enterprise-grade API rate limiting for Symfony. Supports multiple algorithms (Token Bucket, Sliding Window, Fixed Window), distributed limiting with Redis, and comprehensive analytics. Perfect for production APIs requiring precise request throttling.
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README 文档
README
Enterprise-grade API Rate Limiting for Symfony applications with multiple algorithms, distributed support via Redis, and comprehensive analytics.
🚀 Features
- Multiple Algorithms: Token Bucket, Sliding Window, Fixed Window, Leaky Bucket
- Distributed Rate Limiting: Redis-based for microservices
- Flexible Limits: Per IP, User, API Key, or Endpoint
- RFC Compliance: RateLimit-* HTTP headers
- Analytics: Real-time metrics and monitoring
- PHP 8 Attributes: Modern configuration style
- Production Ready: Battle-tested, optimized Lua scripts
📦 Installation
composer require syeedalireza/api-rate-limiter-bundle
🎯 Quick Start
1. Configure
# config/packages/rate_limiter.yaml rate_limiter: default_algorithm: token_bucket redis: client: 'redis://localhost:6379' limits: api: limit: 100 window: 3600 # 1 hour
2. Use Attributes
use Syeedalireza\RateLimiterBundle\Attribute\RateLimit; #[RateLimit(limit: 100, window: 3600)] class ApiController extends AbstractController { #[Route('/api/users')] #[RateLimit(limit: 10, window: 60, key: 'ip')] public function getUsers(): JsonResponse { // Max 10 requests per minute per IP } }
3. Check Limits Programmatically
use Syeedalireza\RateLimiterBundle\Service\RateLimiter; public function __construct( private RateLimiter $rateLimiter ) {} public function someAction(): Response { $status = $this->rateLimiter->check('user:123', limit: 100, window: 3600); if (!$status->isAllowed()) { throw new TooManyRequestsHttpException( $status->getRetryAfter(), 'Rate limit exceeded' ); } }
📊 Algorithms
Token Bucket
Best for burst tolerance with steady rate.
#[RateLimit(algorithm: 'token_bucket', limit: 100, window: 60)]
Sliding Window
Most accurate, prevents boundary issues.
#[RateLimit(algorithm: 'sliding_window', limit: 100, window: 60)]
Fixed Window
Simple, efficient, but has boundary spikes.
#[RateLimit(algorithm: 'fixed_window', limit: 100, window: 60)]
🔧 Advanced Usage
Custom Cost per Endpoint
#[RateLimit(limit: 1000, window: 3600, cost: 10)] public function heavyOperation(): Response { // This request costs 10 tokens }
Whitelist/Blacklist
rate_limiter: whitelist: - '192.168.1.100' - '10.0.0.0/8' blacklist: - '185.220.101.0/24' # Tor exit nodes
Multiple Limits
#[RateLimit(limit: 10, window: 1)] // 10 per second #[RateLimit(limit: 100, window: 60)] // 100 per minute #[RateLimit(limit: 1000, window: 3600)] // 1000 per hour public function api(): Response {}
📈 Monitoring
$metrics = $this->rateLimiter->getMetrics('user:123'); echo $metrics->getRequestCount(); echo $metrics->getRemainingTokens(); echo $metrics->getResetTime();
🐳 Docker Support
Included Redis setup for development:
docker-compose up -d
📚 Documentation
🧪 Testing
composer test # Run tests composer benchmark # Run performance benchmarks composer quality # All quality checks
🤝 Contributing
See CONTRIBUTING.md
📄 License
MIT License - see LICENSE.md
👨💻 Author
Alireza Aminzadeh
- Email: alireza.aminzadeh@hotmail.com
- GitHub: @syeedalireza
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其他信息
- 授权协议: MIT
- 更新时间: 2026-02-03