df1727be73
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
190 lines
8.0 KiB
Python
190 lines
8.0 KiB
Python
"""Rate limiting middleware for FastAPI.
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Implements in-memory sliding window rate limiting per client IP.
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Configurable limits for login and endpoints that carry credentials, and for
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everything else.
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"""
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import re
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import time
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from collections import defaultdict
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from typing import Callable
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from fastapi import Request, Response
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from starlette.middleware.base import BaseHTTPMiddleware
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from starlette.responses import JSONResponse
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from src.backend.config import settings
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class RateLimitMiddleware(BaseHTTPMiddleware):
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"""Middleware that enforces per-IP rate limits using a sliding window.
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- Login bucket: `/api/auth/login`, the paths that carry a capoturno's
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credentials (`/api/measurements/*/authorise`,
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`/api/production-runs/{id}/pause|resume|close`), and everything under
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`/api/setup/` (the setup password). Limited to `rate_limit_login`
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req/min. Guessing a supervisor's or the setup password is the same
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attack as guessing a login password, just aimed at a different endpoint.
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- All other endpoints: limited to `rate_limit_general` req/min.
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Returns HTTP 429 with Retry-After header when limit exceeded.
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Both configured limits are divided across worker processes before being
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applied (see `_effective_limit`): each bucket lives in this process's
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memory, so with `--workers N` a single configured limit is enforced N
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times over across the cluster unless it is divided down first.
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"""
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LOGIN_PATH = "/api/auth/login"
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# #59: il login con PIN e' lo stesso attacco (4 cifre: ancora piu' facile da indovinare)
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LOGIN_PIN_PATH = "/api/auth/login-pin"
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WINDOW_SECONDS = 60
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# Paths that carry a supervisor's (capoturno) credentials in the request
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# body. Matched by pattern, not equality, because the id in the middle
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# varies per request.
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_SUPERVISOR_CREDENTIAL_PATTERNS = (
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re.compile(r"^/api/measurements/\d+/authorise$"),
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re.compile(r"^/api/production-runs/\d+/(?:pause|resume|close)$"),
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)
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def __init__(self, app) -> None:
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super().__init__(app)
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# {ip: [timestamp, ...]} per bucket
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self._login_requests: dict[str, list[float]] = defaultdict(list)
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self._general_requests: dict[str, list[float]] = defaultdict(list)
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self._request_count = 0 # Counter for triggering eviction
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@staticmethod
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def _client_ip(request: Request) -> str:
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"""Resolve the originating client IP behind `trusted_proxy_count` proxies.
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Nginx (and, behind it, the Flask client) each add one hop to
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X-Forwarded-For. The *leftmost* entries are whatever the original
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caller claimed and are trivially spoofed; trust only extends to the
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hops actually appended by our own trusted proxies, counted from the
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*right*. With `trusted_proxy_count = N`, the client IP is the Nth
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element from the end of XFF (the one added by the outermost trusted
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proxy). If XFF has fewer elements than that, or is absent, fall back
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to `request.client.host` - except that `X-Real-IP` is tried first when
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XFF is simply missing and at least one proxy is trusted.
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With `trusted_proxy_count = 0`, no proxy header is honored at all
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(neither XFF nor X-Real-IP) and only `request.client.host` is used.
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"""
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count = settings.trusted_proxy_count
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if count > 0:
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xff = request.headers.get("x-forwarded-for")
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if xff:
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hops = [h.strip() for h in xff.split(",") if h.strip()]
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if len(hops) >= count:
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return hops[-count]
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# Fewer hops than trusted proxies: the chain is short of what
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# was configured, so fall back rather than trust an
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# under-populated header.
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else:
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real = request.headers.get("x-real-ip")
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if real:
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return real.strip()
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return request.client.host if request.client else "unknown"
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@classmethod
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def _is_login_bucket_request(cls, method: str, path: str) -> bool:
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"""Whether this request counts against the login bucket rather than general.
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`/api/setup/*` is checked regardless of method: `GET /api/setup/status`
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now accepts an optional password (see setup.py), so guessing it there
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is the same attack as guessing it on any of the POST endpoints.
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"""
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if path.startswith("/api/setup/"):
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return True
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if method != "POST":
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return False
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if path in (cls.LOGIN_PATH, cls.LOGIN_PIN_PATH):
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return True
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return any(p.match(path) for p in cls._SUPERVISOR_CREDENTIAL_PATTERNS)
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@staticmethod
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def _effective_limit(configured: int) -> int:
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"""Divide a configured per-minute limit across worker processes.
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Rounds up and never returns less than 1, so a low configured limit
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with high concurrency still allows at least one request per worker
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per window rather than locking everyone out.
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"""
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concurrency = max(settings.web_concurrency, 1)
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return max(1, -(-configured // concurrency))
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def _clean_window(self, timestamps: list[float], now: float) -> list[float]:
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"""Remove timestamps outside the current sliding window."""
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cutoff = now - self.WINDOW_SECONDS
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return [t for t in timestamps if t > cutoff]
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def _evict_stale_ips(self, bucket: dict[str, list[float]], now: float) -> None:
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"""Remove IP entries with no timestamps in the current window (memory leak prevention)."""
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cutoff = now - self.WINDOW_SECONDS
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stale_ips = [ip for ip, timestamps in bucket.items() if not timestamps or max(timestamps) <= cutoff]
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for ip in stale_ips:
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del bucket[ip]
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def _check_rate_limit(
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self,
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bucket: dict[str, list[float]],
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client_ip: str,
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limit: int,
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now: float,
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) -> tuple[bool, int]:
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"""Check if a request is within the rate limit.
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Returns:
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Tuple of (allowed, retry_after_seconds).
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"""
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bucket[client_ip] = self._clean_window(bucket[client_ip], now)
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if len(bucket[client_ip]) >= limit:
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# Calculate seconds until the oldest request falls out of window
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oldest = bucket[client_ip][0]
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retry_after = int(oldest + self.WINDOW_SECONDS - now) + 1
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return False, max(retry_after, 1)
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bucket[client_ip].append(now)
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return True, 0
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async def dispatch(self, request: Request, call_next: Callable) -> Response:
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client_ip = self._client_ip(request)
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now = time.time()
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path = request.url.path
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# Periodic eviction: every 100 requests, remove stale IP buckets
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self._request_count += 1
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if self._request_count % 100 == 0:
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self._evict_stale_ips(self._login_requests, now)
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self._evict_stale_ips(self._general_requests, now)
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# Check login-bucket rate limit (login itself, supervisor-credential
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# paths, and the setup password)
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if self._is_login_bucket_request(request.method, path):
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allowed, retry_after = self._check_rate_limit(
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self._login_requests, client_ip,
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self._effective_limit(settings.rate_limit_login), now,
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)
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if not allowed:
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return JSONResponse(
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status_code=429,
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content={"detail": "Too many login attempts. Please try again later."},
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headers={"Retry-After": str(retry_after)},
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)
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# Check general rate limit
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allowed, retry_after = self._check_rate_limit(
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self._general_requests, client_ip,
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self._effective_limit(settings.rate_limit_general), now,
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)
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if not allowed:
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return JSONResponse(
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status_code=429,
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content={"detail": "Too many requests. Please try again later."},
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headers={"Retry-After": str(retry_after)},
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)
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return await call_next(request)
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