Redis Rate Limiter

This example demonstrates how to use Redis to implement a rate limiter for an Embedbase project.

Installation

Install the required dependencies in a virtual environment:

virtualenv env
source env/bin/activate
pip install embedbase redis

Start Redis as an Embedbase rate limiter

Run a Redis instance for the Embedbase rate limiter.

docker run -d --name redis -p 6379:6379 redis

Alternatively you can use Upstash (opens in a new tab) which manage Redis for you, to go to production faster.

Start Embedbase

Create a new file main.py with the following code:

main.py

import os
from embedbase import get_app
from embedbase.database.memory_db import MemoryDatabase
from embedbase.embedding.openai import OpenAI
import redis.asyncio as redis
import uvicorn
from fastapi.responses import JSONResponse
 
REDIS_HOST = os.environ.get("REDIS_HOST", "localhost")
REDIS_PORT = os.environ.get("REDIS_PORT", 6379)
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 
 
async def get_redis():
    r = redis.Redis(host=REDIS_HOST, port=REDIS_PORT)
    await r.ping()
    return r
 
 
async def rate_limiter(request, call_next, db, embedder):
    """Rate limit middleware using Redis."""
    rate_limit = 1  # Set your rate limit here (e.g., 1 requests per minute)
    expiration = 60  # Set the expiration time in seconds (e.g., 60 seconds)
 
    redis_client = await get_redis()
 
    key = f"rate_limit:{request.client.host}"
    current_requests = await redis_client.get(key)
 
    if current_requests is None:
        await redis_client.set(key, 1, ex=expiration)
    elif int(current_requests) < rate_limit:
        await redis_client.incr(key)
    else:
        return JSONResponse(
            content={"detail": "Too many requests"},
            status_code=429,  # HTTP status code for "Too Many Requests"
        )
 
    response = await call_next(request)
    return response
 
 
app = (
    get_app()
    .use_embedder(OpenAI(OPENAI_API_KEY))
    .use_db(MemoryDatabase())
    .use_middleware(rate_limiter)
    .run()
)
 
if __name__ == "__main__":
    uvicorn.run("main:app", reload=True)

Start the Embedbase application with the following command:

python3 main.py

Test Embedbase rate limiter

To test if the rate limiter is working, open another terminal and run the following commands:

Create a shell script test.sh to send 10 parallel requests to the Embedbase API:

cat > test.sh <<EOF
for i in {1..10}; do
    curl -X POST "http://localhost:8000/v1/sampledataset/search" \
        -H "accept: application/json" \
        -H "Content-Type: application/json" \
        -d "{ \"query\": \"Hello world!\"}"
done
EOF

Run the test script:

bash test.sh

The API should now respond with a 429 "Too Many Requests" HTTP status code when the rate limit has been reached.

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