fastapi-simple-rate-limiter 0.0.1

Rate limiter to limit the number of API requests in FastAPI

FastAPI Simple RateLimiter

This package contains the API Rate limit decorator for use in FastAPI.

It is easy to use, can only be specified in a specific API URL Path, and can be used without special storage (in memory).

Additionally, you can use redis to properly share and control the API rate limit value even in multi-instance situations.

When the rate limit reaches the set limit, a specified exception or user-specified exception class can be generated.

The format of the user-specified exception class is fixed, but the response format can be set somewhat freely.

Dependencies

• Python >= 3.10 or higher environment
• redis-py
• FastAPI (with Asynchronous Code): Code written with async def

Installation

pip

$ pip install fastapi-simple-rate-limiter

poetry

$ poetry add fastapi-simple-rate-limiter

Github

Installing the latest version from Github:

$ git clone https://github.com/jintaekimmm/fastapi-simple-rate-limiter
$ cd fastapi-simple-rate-limiter
$ python setup.py install

Usage

To use this package, please add rate_limiter decorator to the FastAPI api route function.

You must set the Request argument in the FastAPI API function to properly check the Client IP address and API URL Path.

from fastapi import FastAPI
from fastapi.requests import Request

app = FastAPI()


@app.get("/test")
@rate_limiter(limit=3, seconds=60)
async def test_list_api(request: Request):
    ...

This API route can only be called 3 times per 60 seconds.

Limit and seconds must be set to Decorator, and you can enter the number of calls and limit time.

If the set limit is reached, a FastAPI HTTPException is thrown. If the call is made in an environment where FastAPI is not installed, fastapi_rate_limiter.RateLimitException will occur.

When using redis, you can create a redis session and pass it as an argument as shown below.

from fastapi import FastAPI
from fastapi.requests import Request

from fastapi_simple_rate_limiter.database import create_redis_session

app = FastAPI()

redis_session = create_redis_session()


@app.get("/test")
@rate_limiter(limit=3, seconds=30, redis=redis_session)
async def test_list_api(request: Request):
    ...

You can pass basic connection information to create_redis_session

redis_session = create_redis_session(host='localhost', port=6379, db=0, password='')

rate limit exceed response

If the rate limit excced is reached, the result will be returned as HTTPException.

HTTP: 429
{
    "detail": "Rate Limit Exceed
}

If you want to change the HTTP Status or details, you can do so through the exception_status and exception_message arguments.

@app.get("/test")
@rate_limiter(limit=3, seconds=30, exception_status=400, exception_message="Oh..! Too many Request!")
async def test_list_api(request: Request):
    ...

custom exception and response format

If you want to return a limit exceed result in a user-defined response format rather than an HTTPException, you can create and use a custom exception class as follows.

from fastapi import FastAPI
from fastapi.requests import Request

app = FastAPI()

class CustomException(Exception):
    def __init__(self, status_code: int, message: Any):
        self.status_code = status_code
        self.message = message


@app.exception_handler(CustomException)
async def custom_exception_handler(request: Request, exc: CustomException):
    content = {
        "success": False, 
        "error": {
            "message": exc.message
        }
    }
    
    return JSONResponse(
        status_code=exc.status_code,
        content=content,
    )


@app.get("/test")
@rate_limiter(limit=3, seconds=30, exception=CustomException)
async def test_list_api(request: Request):
    ...

You can return results as a JSONResponse in the desired format via a custom exception.

However, when creating a custom exception, there is a limitation that only status_code and message can be used. Since the limits of the structure are not checked within message, it seems that it can have a free form.

Get client real IP Address

When checking the API rate limit, use a key combining the client's IP address and API url path.

If all client IP addresses are the same, the rate limit will be shared by all users rather than individual users.

Here we introduce a method to check the actual IP address of the client when using uvicorn and gunicorn.

uvicorn

uvicorn uses --proxy-headers and --forwarded-allow-ips

Detailed information about options can be found in the uvicorn document.

uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 --proxy-headers --forwarded-allow-ips "*"

gunicorn

gunicorn uses the --forwarded-allow-ips option

Detailed information about the option can be found in the gunicorn document.

gunicorn app.main:app --bind 0.0.0.0:8000 -k uvicorn.workers.UvicornWorker --forwarded-allow-ips "*"

License

This project is licensed under the terms of the MIT license.