- Refactor Redis backend connection handling and pool management - Update algorithm implementations with improved type annotations - Enhance config loader validation with stricter Pydantic schemas - Improve decorator and middleware error handling - Expand example scripts with better docstrings and usage patterns - Add new 00_basic_usage.py example for quick start - Reorganize examples directory structure - Fix type annotation inconsistencies across core modules - Update dependencies in pyproject.toml
195 lines
5.4 KiB
Python
195 lines
5.4 KiB
Python
"""Basic usage examples for fastapi-traffic."""
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from collections.abc import AsyncIterator
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from contextlib import asynccontextmanager
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from typing import Annotated, TypeAlias
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from fastapi import Depends, FastAPI, Request
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from fastapi.responses import JSONResponse
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from fastapi_traffic import (
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Algorithm,
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RateLimiter,
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RateLimitExceeded,
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SQLiteBackend,
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rate_limit,
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)
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from fastapi_traffic.core.decorator import RateLimitDependency
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from fastapi_traffic.core.limiter import set_limiter
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from fastapi_traffic.core.models import RateLimitInfo
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DEFAULT_HOST = "127.0.0.1"
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DEFAULT_PORT = 8000
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# Configure global rate limiter with SQLite backend for persistence
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backend = SQLiteBackend("rate_limits.db")
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limiter = RateLimiter(backend)
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set_limiter(limiter)
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basic_ratelimiter = RateLimitDependency(limit=20, window_size=60)
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RateLimitDep: TypeAlias = Annotated[RateLimitInfo, Depends(basic_ratelimiter)]
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@asynccontextmanager
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async def lifespan(_: FastAPI) -> AsyncIterator[None]:
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"""Manage application lifespan - startup and shutdown."""
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# Startup: Initialize the rate limiter
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await limiter.initialize()
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yield
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# Shutdown: Cleanup
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await limiter.close()
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app = FastAPI(title="FastAPI Traffic Example", lifespan=lifespan)
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# Exception handler for rate limit exceeded
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@app.exception_handler(RateLimitExceeded)
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async def rate_limit_handler(_: Request, exc: RateLimitExceeded) -> JSONResponse:
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"""Handle rate limit exceeded exceptions."""
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headers = exc.limit_info.to_headers() if exc.limit_info else {}
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return JSONResponse(
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status_code=429,
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content={
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"error": "rate_limit_exceeded",
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"message": exc.message,
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"retry_after": exc.retry_after,
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},
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headers=headers,
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)
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# Example 1: Basic decorator usage
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@app.get("/api/basic")
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@rate_limit(100, 60) # 100 requests per minute
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async def basic_endpoint(_: Request) -> dict[str, str]:
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"""Basic rate-limited endpoint."""
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return {"message": "Hello, World!"}
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# Example 2: Custom algorithm
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@app.get("/api/token-bucket")
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@rate_limit(
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limit=50,
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window_size=60,
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algorithm=Algorithm.TOKEN_BUCKET,
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burst_size=10, # Allow bursts of up to 10 requests
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)
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async def token_bucket_endpoint(_: Request) -> dict[str, str]:
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"""Endpoint using token bucket algorithm."""
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return {"message": "Token bucket rate limiting"}
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# Example 3: Sliding window for precise rate limiting
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@app.get("/api/sliding-window")
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@rate_limit(
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limit=30,
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window_size=60,
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algorithm=Algorithm.SLIDING_WINDOW,
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)
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async def sliding_window_endpoint(_: Request) -> dict[str, str]:
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"""Endpoint using sliding window algorithm."""
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return {"message": "Sliding window rate limiting"}
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# Example 4: Custom key extractor (rate limit by API key)
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def api_key_extractor(request: Request) -> str:
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"""Extract API key from header for rate limiting."""
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api_key = request.headers.get("X-API-Key", "anonymous")
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return f"api_key:{api_key}"
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@app.get("/api/by-api-key")
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@rate_limit(
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limit=1000,
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window_size=3600, # 1000 requests per hour
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key_extractor=api_key_extractor,
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)
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async def api_key_endpoint(_: Request) -> dict[str, str]:
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"""Endpoint rate limited by API key."""
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return {"message": "Rate limited by API key"}
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# Example 5: Using dependency injection
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# Note: This dependency injection seems to be tripping pydantic, needs to be looked into.
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"""@app.get("/api/dependency")
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async def dependency_endpoint(
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_: Request,
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rate_info: RateLimitDep,
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) -> dict[str, object]:
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'''Endpoint using rate limit as dependency.'''
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return {
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"message": "Rate limit info available",
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"rate_limit": rate_info,
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}
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"""
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# Example 6: Exempt certain requests
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def is_admin(request: Request) -> bool:
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"""Check if request is from admin."""
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return request.headers.get("X-Admin-Token") == "secret-admin-token"
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@app.get("/api/admin-exempt")
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@rate_limit(
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limit=10,
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window_size=60,
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exempt_when=is_admin,
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)
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async def admin_exempt_endpoint(_: Request) -> dict[str, str]:
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"""Endpoint with admin exemption."""
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return {"message": "Admins are exempt from rate limiting"}
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# Example 7: Different costs for different operations
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@app.post("/api/expensive")
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@rate_limit(
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limit=100,
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window_size=60,
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cost=10, # This endpoint costs 10 tokens per request
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)
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async def expensive_endpoint(_: Request) -> dict[str, str]:
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"""Expensive operation that costs more tokens."""
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return {"message": "Expensive operation completed"}
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# Example 8: Global middleware rate limiting
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# Uncomment to enable global rate limiting
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# app.add_middleware(
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# RateLimitMiddleware,
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# limit=1000,
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# window_size=60,
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# exempt_paths={"/health", "/docs", "/openapi.json"},
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# )
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@app.get("/health")
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async def health_check(_: Request) -> dict[str, str]:
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"""Health check endpoint (typically exempt from rate limiting)."""
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return {"status": "healthy"}
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if __name__ == "__main__":
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import argparse
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import uvicorn
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parser = argparse.ArgumentParser(
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description="Basic usage example for fastapi-traffic"
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)
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parser.add_argument(
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"--host",
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default=DEFAULT_HOST,
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help=f"Host to bind to (default: {DEFAULT_HOST})",
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)
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parser.add_argument(
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"--port",
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type=int,
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default=DEFAULT_PORT,
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help=f"Port to bind to (default: {DEFAULT_PORT})",
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)
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args = parser.parse_args()
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uvicorn.run(app, host=args.host, port=args.port)
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