feat: #85 T10 persistance etat (verrous stores, ratelimit SQLite) et cloture refonte

This commit is contained in:
2026-09-26 18:10:10 -04:00
parent 58312e64da
commit d6cca2b1af
18 changed files with 701 additions and 149 deletions
+172 -1
View File
@@ -12,14 +12,24 @@ the per-account lockout in ``user_store.py``.
deployment, front this service with a shared store (Redis) or a single
worker. This limitation is intentional and documented (BUG-031).
Opt-in persistence (ROADMAP #85 T10b) : if ``OBSIGATE_RATELIMIT_DB`` points
to a SQLite file, counters are stored there instead (WAL mode, one short
connection per call — safe across threads, processes and restarts sharing
the same file). Semantics (windows, budgets, success reset) are identical
to the in-memory store, which remains the default when the variable is
unset.
Configuration via environment variables:
OBSIGATE_LOGIN_MAX_ATTEMPTS Max failures per IP (default: 10)
OBSIGATE_ACCOUNT_MAX_ATTEMPTS Max failures per account (default: 10)
OBSIGATE_LOGIN_WINDOW_SECONDS Lockout window in seconds (default: 900)
OBSIGATE_RATELIMIT_DB SQLite file for shared/persistent counters (default: unset = memory)
"""
import logging
import os
import sqlite3
import threading
import time
from collections import defaultdict
@@ -37,6 +47,127 @@ _last_cleanup = time.time()
CLEANUP_INTERVAL = 60 # seconds
def _db_path() -> str | None:
"""SQLite file for shared counters, or ``None`` for the in-memory store."""
path = os.environ.get("OBSIGATE_RATELIMIT_DB", "").strip()
return path or None
def _db_connect(path: str) -> sqlite3.Connection:
"""Open a short-lived connection (WAL + busy timeout for concurrent workers)."""
_db_ensure_schema(path)
conn = sqlite3.connect(path, timeout=10.0)
conn.execute("PRAGMA busy_timeout=10000")
return conn
_schema_ready: set[str] = set()
_schema_lock = threading.Lock()
def _db_ensure_schema(path: str) -> None:
"""Create the store schema once per file (DDL under a process-wide lock)."""
with _schema_lock:
if path in _schema_ready:
return
conn = sqlite3.connect(path, timeout=10.0)
try:
conn.execute("PRAGMA journal_mode=WAL")
conn.execute(
"CREATE TABLE IF NOT EXISTS attempts"
" (kind TEXT NOT NULL, key TEXT NOT NULL, ts REAL NOT NULL, success INTEGER NOT NULL)"
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_attempts_kind_key_ts"
" ON attempts (kind, key, ts)"
)
conn.commit()
finally:
conn.close()
_schema_ready.add(path)
def _db_write(fn, *args):
"""Run a write op, retrying once on lock contention (concurrent workers)."""
try:
return fn(*args)
except sqlite3.OperationalError as e:
if "locked" not in str(e).lower():
raise
time.sleep(0.05)
return fn(*args)
def _db_prune(conn: sqlite3.Connection, cutoff: float) -> None:
"""Drop expired entries (best-effort cap on disk growth)."""
conn.execute("DELETE FROM attempts WHERE ts <= ?", (cutoff,))
def _db_record(kind: str, key: str, success: bool) -> int:
"""Record one attempt in SQLite; return the live failure count."""
path = _db_path()
assert path is not None
now = time.time()
cutoff = now - WINDOW_SECONDS
def _write() -> int:
with _db_connect(path) as conn:
_db_prune(conn, cutoff)
if success:
# Mirror the in-memory reset: replace history with one success.
conn.execute("DELETE FROM attempts WHERE kind = ? AND key = ?", (kind, key))
conn.execute(
"INSERT INTO attempts (kind, key, ts, success) VALUES (?, ?, ?, ?)",
(kind, key, now, int(success)),
)
conn.commit()
(failures,) = conn.execute(
"SELECT COUNT(*) FROM attempts WHERE kind = ? AND key = ? AND ts > ? AND success = 0",
(kind, key, cutoff),
).fetchone()
return failures
return _db_write(_write)
def _db_failures(kind: str, key: str) -> int:
"""Live failure count in SQLite (expired entries never count)."""
path = _db_path()
assert path is not None
cutoff = time.time() - WINDOW_SECONDS
with _db_connect(path) as conn:
(failures,) = conn.execute(
"SELECT COUNT(*) FROM attempts WHERE kind = ? AND key = ? AND ts > ? AND success = 0",
(kind, key, cutoff),
).fetchone()
return failures
def _db_tracked(kind: str) -> int:
"""Number of distinct keys ever seen for one budget (SQLite)."""
path = _db_path()
assert path is not None
with _db_connect(path) as conn:
(n,) = conn.execute(
"SELECT COUNT(DISTINCT key) FROM attempts WHERE kind = ?", (kind,)
).fetchone()
return n
def _db_limited_count(kind: str, max_attempts: int) -> int:
"""Number of keys currently over budget (SQLite)."""
path = _db_path()
assert path is not None
cutoff = time.time() - WINDOW_SECONDS
with _db_connect(path) as conn:
rows = conn.execute(
"SELECT key, COUNT(*) FROM attempts"
" WHERE kind = ? AND ts > ? AND success = 0 GROUP BY key",
(kind, cutoff),
).fetchall()
return sum(1 for _, n in rows if n >= max_attempts)
def _prune(store: dict[str, list], cutoff: float) -> None:
"""Drop expired entries from one store in place."""
expired = []
@@ -66,6 +197,12 @@ def record_failure(ip: str) -> tuple[int, int]:
Returns:
(current_failure_count, remaining_attempts)
"""
if _db_path() is not None:
failures = _db_record("ip", ip, False)
remaining = max(0, MAX_ATTEMPTS - failures)
if failures >= MAX_ATTEMPTS:
logger.warning(f"IP {ip} rate-limited after {failures} failed logins")
return failures, remaining
_cleanup_expired()
_ip_attempts[ip].append((time.time(), False))
failures = sum(1 for _, success in _ip_attempts[ip] if not success)
@@ -77,12 +214,17 @@ def record_failure(ip: str) -> tuple[int, int]:
def record_success(ip: str):
"""Clear rate limit state for an IP after successful login."""
if _db_path() is not None:
_db_record("ip", ip, True)
return
_cleanup_expired()
_ip_attempts[ip] = [(time.time(), True)]
def is_rate_limited(ip: str) -> bool:
"""Check if an IP has exceeded the rate limit."""
if _db_path() is not None:
return _db_failures("ip", ip) >= MAX_ATTEMPTS
_cleanup_expired()
failures = sum(1 for _, success in _ip_attempts.get(ip, []) if not success)
return failures >= MAX_ATTEMPTS
@@ -94,8 +236,14 @@ def record_account_failure(account: str) -> tuple[int, int]:
Returns:
(current_failure_count, remaining_attempts)
"""
_cleanup_expired()
key = account.lower()
if _db_path() is not None:
failures = _db_record("account", key, False)
remaining = max(0, ACCOUNT_MAX_ATTEMPTS - failures)
if failures >= ACCOUNT_MAX_ATTEMPTS:
logger.warning(f"Account {account} rate-limited after {failures} failed attempts")
return failures, remaining
_cleanup_expired()
_account_attempts[key].append((time.time(), False))
failures = sum(1 for _, success in _account_attempts[key] if not success)
remaining = max(0, ACCOUNT_MAX_ATTEMPTS - failures)
@@ -106,12 +254,17 @@ def record_account_failure(account: str) -> tuple[int, int]:
def record_account_success(account: str):
"""Clear the per-account rate limit state after a successful login."""
if _db_path() is not None:
_db_record("account", account.lower(), True)
return
_cleanup_expired()
_account_attempts[account.lower()] = [(time.time(), True)]
def is_account_rate_limited(account: str) -> bool:
"""Check if an account has exceeded the per-account rate limit."""
if _db_path() is not None:
return _db_failures("account", account.lower()) >= ACCOUNT_MAX_ATTEMPTS
_cleanup_expired()
failures = sum(
1 for _, success in _account_attempts.get(account.lower(), []) if not success
@@ -121,6 +274,24 @@ def is_account_rate_limited(account: str) -> bool:
def get_status(ip: str | None = None) -> dict:
"""Get rate limit status for an IP (for diagnostics)."""
if _db_path() is not None:
if ip:
failures = _db_failures("ip", ip)
return {
"ip": ip,
"failures": failures,
"max": MAX_ATTEMPTS,
"limited": failures >= MAX_ATTEMPTS,
"window_seconds": WINDOW_SECONDS,
}
return {
"tracked_ips": _db_tracked("ip"),
"tracked_accounts": _db_tracked("account"),
"max_attempts": MAX_ATTEMPTS,
"account_max_attempts": ACCOUNT_MAX_ATTEMPTS,
"window_seconds": WINDOW_SECONDS,
"limited_ips": _db_limited_count("ip", MAX_ATTEMPTS),
}
_cleanup_expired()
if ip:
attempts = _ip_attempts.get(ip, [])