fast-cache-middleware 0.0.5

An intelligent middleware for caching FastAPI responses

FastCacheMiddleware

🚀 High-performance ASGI middleware for caching with route resolution approach

✨ Key Features

FastCacheMiddleware uses a route resolution approach - it analyzes application routes at startup and extracts cache configurations from FastAPI dependencies.

🔧 How it works

1. At application startup:

   • Middleware analyzes all routes and their dependencies
   • Extracts CacheConfig and CacheDropConfig from dependencies
   • Creates internal route index with caching configurations

2. During request processing:

   • Checks HTTP method (cache only GET, invalidate for POST/PUT/DELETE)
   • Finds matching route by path and method
   • Extracts cache configuration from pre-analyzed dependencies
   • Performs caching or invalidation according to configuration

💡 Benefits

• ⚡ High performance - pre-route analysis
• 🎯 Easy integration - standard FastAPI dependencies
• 🔧 Flexible configuration - custom key functions, route-level TTL
• 🛡️ Automatic invalidation - cache invalidation for modifying requests
• 📊 Minimal overhead - efficient handling of large numbers of routes

📦 Installation

pip install fast-cache-middleware

🎯 Quick Start

import uvicorn
from fastapi import FastAPI

from fast_cache_middleware import CacheConfig, CacheDropConfig, FastCacheMiddleware

app = FastAPI()

# Add middleware - it will automatically analyze routes
app.add_middleware(FastCacheMiddleware)


# Routes with caching
@app.get("/users/{user_id}", dependencies=[CacheConfig(max_age=300)])
async def get_user(user_id: int) -> dict[str, int | str]:
    """This endpoint is cached for 5 minutes."""
    # Simulate database load
    return {"user_id": user_id, "name": f"User {user_id}"}


# Routes with cache invalidation
@app.post(
    "/users/{user_id}",
    dependencies=[CacheDropConfig(paths=["/users/*", "/api/users/*"])],
)
async def update_user(user_id: int) -> dict[str, int | str]:
    """It will invalidate cache for all /users/* paths."""
    return {"user_id": user_id, "status": "updated"}


if __name__ == "__main__":
    uvicorn.run(app, host="127.0.0.1", port=8000)

🔧 Configuration

CacheConfig

Configure caching for GET requests:

from fast_cache_middleware import CacheConfig

# Simple caching
CacheConfig(max_age=300)  # 5 minutes

# With custom key function, for personalized cache
def key_func(request: Request):
    user_id = request.headers.get("Authorization", "anonymous")
    path = request.url.path
    query = str(request.query_params)
    return f"{path}:{user_id}:{query}"

CacheConfig(max_age=600, key_func=key_func)  # 10 minutes

CacheDropConfig

Configure cache invalidation for modifying requests:

# Paths can be matched by startswith
CacheDropConfig(
    paths=[
        "/users/",  # Will match /users/123, /users/profile, etc.
        "/api/",    # Will match all API paths
    ]
)

# Paths can be matched by regexp
CacheDropConfig(
    paths=[
        r"^/users/\d+$",  # Will match /users/123, /users/456, etc.
        r"^/api/.*",      # Will match all API paths
    ]
)

# You can mix regexp and simple string matching - use what's more convenient
CacheDropConfig(
    paths=[
        "/users/",        # Simple prefix match
        r"^/api/\w+/\d+$" # Regexp for specific API endpoints
    ]
)

🏗️ Architecture

System Components

FastCacheMiddleware
├── RouteInfo           # Route information with cache configuration
├── Controller          # Caching logic and validation
├── Storage             # Storages (InMemory, Redis, etc.)
├── Serializers         # Cached data serialization
└── Dependencies        # FastAPI dependencies for configuration

Request Processing Flow

graph TD
    A[HTTP Request] --> B{Route analysis done?}
    B -->|No| C[Analyze application routes]
    C --> D[Save route configurations]
    B -->|Yes| E{Method supports caching?}
    D --> E
    E -->|No| F[Pass to application]
    E -->|Yes| G[Find matching route]
    G --> H{Route found?}
    H -->|No| F
    H -->|Yes| I{GET request + CacheConfig?}
    I -->|Yes| J[Check cache]
    J --> K{Cache found?}
    K -->|Yes| L[Return from cache]
    K -->|No| M[Execute request + save to cache]
    I -->|No| N{POST/PUT/DELETE + CacheDropConfig?}
    N -->|Yes| O[Invalidate cache]
    N -->|No| F
    O --> F
    M --> P[Return response]

🎛️ Storages

InMemoryStorage (default)

from fast_cache_middleware import FastCacheMiddleware, InMemoryStorage

storage = InMemoryStorage(max_size=1000)
app.add_middleware(FastCacheMiddleware, storage=storage)

InMemoryStorage uses batch cleanup for better performance

Custom Storage

from fast_cache_middleware import BaseStorage

class RedisStorage(BaseStorage):
    def __init__(self, redis_url: str):
        import redis
        self.redis = redis.from_url(redis_url)
    
    async def store(self, key: str, response, request, metadata):
        # Implementation for saving to Redis
        pass
    
    async def retrieve(self, key: str):
        # Implementation for retrieving from Redis
        pass

app.add_middleware(FastCacheMiddleware, storage=RedisStorage("redis://localhost"))

🧪 Testing

import pytest
from httpx import AsyncClient
from examples.basic import app

@pytest.mark.asyncio
async def test_caching():
    async with AsyncClient(app=app, base_url="http://test") as client:
        # First request - cache miss
        response1 = await client.get("/users/1")
        assert response1.status_code == 200
        
        # Second request - cache hit (should be faster)
        response2 = await client.get("/users/1")
        assert response2.status_code == 200
        assert response1.json() == response2.json()

@pytest.mark.asyncio  
async def test_cache_invalidation():
    async with AsyncClient(app=app, base_url="http://test") as client:
        # Cache data
        await client.get("/users/1")
        
        # Invalidate cache
        await client.post("/users/1", json={})
        
        # Next GET should execute new request
        response = await client.get("/users/1")
        assert response.status_code == 200

📊 Performance

Benchmarks

• Route analysis: ~5ms for 100 routes at startup
• Route lookup: ~0.1ms per request (O(n) by number of cached routes)
• Cache hit: ~1ms per request
• Cache miss: original request time + ~2ms for saving

Optimization

# For applications with many routes
app.add_middleware(
    FastCacheMiddleware,
    storage=InMemoryStorage(max_size=10000),  # Increase cache size
    controller=Controller(default_ttl=3600)   # Increase default TTL
)

🔒 Security

Cache Isolation

def user_specific_cache() -> CacheConfig:
    def secure_key_func(request):
        # Include user token in key
        token = request.headers.get("authorization", "").split(" ")[-1]
        return f"{request.url.path}:token:{token}"
    
    return CacheConfig(max_age=300, key_func=secure_key_func)

@app.get("/private/data", dependencies=[Depends(user_specific_cache)])
async def get_private_data():
    return {"sensitive": "data"}

Header Validation

Middleware automatically respects standard HTTP caching headers:

• Cache-Control: no-cache - skip cache
• Cache-Control: no-store - forbid caching
• Cache-Control: private - don't cache private responses

🛠️ Advanced Usage

Custom Controller

from fast_cache_middleware import Controller

class CustomController(Controller):
    async def is_cachable_request(self, request):
        # Custom logic - don't cache admin requests
        if request.headers.get("x-admin-request"):
            return False
        return await super().should_cache_request(request)
    
    async def generate_cache_key(self, request):
        # Add API version to key
        version = request.headers.get("api-version", "v1")
        base_key = await super().generate_cache_key(request)
        return f"{version}:{base_key}"

app.add_middleware(
    FastCacheMiddleware,
    controller=CustomController()
)

📝 Examples

More examples in the examples/ folder:

• quick_start.py - minimal example showing basic caching and invalidation
• basic.py - basic usage with FastAPI

🤝 Contributing

git clone https://github.com/chud0/FastCacheMiddleware
cd FastCacheMiddleware
poetry install --with dev
./scripts/test.sh

📄 License

MIT License - see LICENSE

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