Skip to main content

Rate-limiter for FastAPI with the possibility of user-based rate limits

Project description

FastAPI rate limiter

This package adds a rate limiter to FastAPI using Redis.

Installation

First install Redis, then install the package using:

pip install fastapi-user-limiter

Usage

All the examples below can be found in example.py (use uvicorn example:app --reload to run).

Single and multiple rate limiters

You can use the rate_limit function as a FastAPI Dependency to add one or several rate limiters to an endpoint:

from fastapi_user_limiter.limiter import rate_limiter
from fastapi import FastAPI, Depends

app = FastAPI()


# Max 2 requests per 5 seconds
@app.get("/single",
         dependencies=[Depends(rate_limiter(2, 5))])
async def read_single():
    return {"Hello": "World"}


# Max 1 requests per second and max 3 requests per 10 seconds
@app.get("/multi/{some_param}", dependencies=[
    Depends(rate_limiter(1, 1)),
    Depends(rate_limiter(3, 10))
])
async def read_multi(some_param: str):
    return {"Hello": f"There {some_param}"}

Router/API-wide rate limits

You can also add a router-wide (or even API-wide) rate limiter that applies to all endpoints taken together, rather than per-endpoint:

from fastapi_user_limiter.limiter import rate_limiter
from fastapi import Depends, APIRouter

# The rate limiter in the router applies to the two endpoints together.
# If a request is made to /single, a request to /single2 within the next 
# 3 seconds will result in a "Too many requests" error.

# This rate limiter must have a custom path value, preferably 
# the same as the router's prefix value.
router = APIRouter(
    prefix='/router',
    dependencies=[Depends(rate_limiter(1, 3,
                                       path='/router'))]
)


# Each endpoint also has its own, separate rate limiter
@router.get("/single",
            dependencies=[Depends(rate_limiter(3, 20))])
async def read_single_router():
    return {"Hello": "World"}


@router.get("/single2",
            dependencies=[Depends(rate_limiter(5, 60))])
async def read_single2_router():
    return {"Hello": "There"}

Per-user rate limits

By default, rate limits are applied per host (i.e. per IP address). However, you may want to apply the rate limits on a per-user basis, especially if your API has authentication. To do so, you can pass a custom async callable to the user argument of rate_limiter, which extracts the username from the request headers:

from fastapi_user_limiter.limiter import rate_limiter
from fastapi import Depends, FastAPI

app = FastAPI()


def get_user(headers, path):
    # The username is assumed to be a bearer token,
    # contained in the 'authorization' header.
    username = headers['authorization'].replace('Bearer ', '')
    return username

# 3 requests max per 20 seconds, per user
@app.post("/auth",
          dependencies=[Depends(rate_limiter(3, 20,
                                             user=get_user))])
async def read_with_auth(data: dict):
    return {'input': data}

User-based rate limit overrides

The async callable introduced above can be used to override max_requests and/or window values for specific users by returning a dict instead of a str. In the example below, the callable overrides and increases the value of max_requests for the user "admin" and for the endpoint /auth:

from fastapi_user_limiter.limiter import rate_limiter
from fastapi import Depends, FastAPI
from starlette.datastructures import Headers, URL


app = FastAPI()


# The user callable can return either of these two:
# A. One single string containing the username
# B. A dictionary that maps the key "username" to the username (obligatory), plus two optional keys:
#     i. "max_requests": overriding the endpoint's original max_requests value for this particular user
#     ii. "window": overriding the endpoint's original window value for this particular user
# Provide a None to "max_requests" or "window" in order to disable rate limiting (for the given
# user and endpoint).
# If a dictionary without a "username" key is provided, an AssertionError is raised.

async def get_user_with_override(headers: Headers, path: str):
    # This user callable returns a dictionary and overrides max_requests for the user "admin"
    # when the endpoint's URL is '/auth'.
    username = headers['authorization'].replace('Bearer ', '')
    result_dict = {"username": username}
    if username == 'admin' and path == '/auth':
        result_dict['max_requests'] = 7
    return result_dict

# 3 requests max per 20 seconds, per user
@app.post("/auth",
          dependencies=[Depends(rate_limiter(3, 20,
                                             user=get_user_with_override))])
async def read_with_auth(data: dict):
    return {'input': data}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastapi_user_limiter-1.3.0.tar.gz (5.0 kB view hashes)

Uploaded Source

Built Distribution

fastapi_user_limiter-1.3.0-py3-none-any.whl (5.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page