move_detect/edge/queue.py
유창욱 930490d1b4 feat(cloud,edge): event dedup (event_uuid) + site-scoped access control (P1-9, P3-2b)
Two approved data-model changes.

P1-9 — ingest idempotency. A POST can succeed server-side but time out
client-side; the edge then re-queues and re-sends the same event, so the
cloud stored duplicate alerts. The edge Event now carries a stable
event_uuid (uuid4 hex) generated once at creation and preserved through
the offline queue and every retry. Cloud: events.event_uuid CHAR(32) NULL
UNIQUE; EventValidator accepts/validates it; IngestController returns the
already-stored event (200, dedup:true) on a repeat uuid, race-safe against
the UNIQUE key (catches the insert-race PDOException and returns the
winner).

P3-2b — site-scoped access control. site_scope was stored in the session
but never enforced, so any authenticated user could read every site's
worker snapshots (PIPA). Added devices.site; ingest denormalizes it onto
events.site (server-derived from the authenticated device_id, never
client-supplied). App\Security\SiteScope centralizes the rule (NULL scope
= global operator). The event list filters in SQL (page(...,$site)); event
detail + acknowledge and the snapshot proxy guard per-row and return 404
(not 403) cross-site so existence never leaks.

Schema migration ALTERs and per-device/user provisioning UPDATEs are
documented at the bottom of schema.sql.

Tests: edge queue round-trip keeps the uuid; repeat-uuid dedups to one
row; list scoped to caller site; detail cross-site 404; snapshot
cross-site 404 / same-site 200; event_uuid validation. phpunit 97 passing
(4 skipped: PDO), pytest 158 passing (2 skipped).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019Xmn8KZWqiQUguEMRtn6rW
2026-07-17 12:58:27 +09:00

89 lines
4.4 KiB
Python

import base64
import json
import sqlite3
from edge.events import Event, EventType, Severity
class OfflineQueue:
def __init__(self, db_path: str, client, max_rows: int = 2000,
max_send_attempts: int = 20):
self.client = client
self.max_rows = max_rows # SD-card guard: evict oldest beyond this
self.max_send_attempts = max_send_attempts # drop a poison event after this many tries
self.db = sqlite3.connect(db_path)
self.db.execute(
"CREATE TABLE IF NOT EXISTS queue ("
"id INTEGER PRIMARY KEY AUTOINCREMENT, payload TEXT, snaps TEXT, "
"attempts INTEGER DEFAULT 0)"
)
# Migrate an older DB that predates the attempts column.
try:
self.db.execute("ALTER TABLE queue ADD COLUMN attempts INTEGER DEFAULT 0")
except sqlite3.OperationalError:
pass # column already exists
self.db.commit()
def _rehydrate(self, payload: dict, snaps: list[bytes]) -> tuple[Event, list[bytes]]:
# Preserve the stored event_uuid so a re-sent event keeps its idempotency key and the
# cloud dedups it. Rows queued before this field existed simply get a fresh uuid (they
# predate dedup, so a first-and-only delivery is correct for them).
uuid_kw = {"event_uuid": payload["event_uuid"]} if payload.get("event_uuid") else {}
e = Event(EventType(payload["event_type"]), Severity(payload["severity"]),
payload["camera_id"], payload["track_id"], payload["zone_id"],
payload["occurred_at"], payload["duration_s"], payload["metrics"],
tuple(payload["spatial"]) if payload.get("spatial") else None,
**uuid_kw)
return e, snaps
def enqueue(self, event: Event, snapshots: list[bytes]) -> None:
payload = event.to_payload("") # device_id는 client가 다시 채움
payload["event_type"] = event.event_type.value
payload["severity"] = event.severity.value
payload["spatial"] = list(event.spatial) if event.spatial else None
snaps = [base64.b64encode(s).decode() for s in snapshots]
self.db.execute("INSERT INTO queue (payload, snaps) VALUES (?, ?)",
(json.dumps(payload), json.dumps(snaps)))
# Bound the queue so a multi-day outage — or a permanent misconfig that queues every
# event forever — cannot fill the SD card and hard-crash the Pi. Keep the newest
# max_rows; a fresh fall alert matters more than a stale one.
self.db.execute(
"DELETE FROM queue WHERE id NOT IN "
"(SELECT id FROM queue ORDER BY id DESC LIMIT ?)", (self.max_rows,))
self.db.commit()
def try_send(self, event: Event, snapshots: list[bytes]) -> bool:
if self.client.send(event, snapshots):
return True
self.enqueue(event, snapshots)
return False
def flush(self) -> int:
rows = self.db.execute(
"SELECT id, payload, snaps, attempts FROM queue ORDER BY id").fetchall()
sent = 0
for rid, payload_json, snaps_json, attempts in rows:
payload = json.loads(payload_json)
snaps = [base64.b64decode(s) for s in json.loads(snaps_json)]
event, snapshots = self._rehydrate(payload, snaps)
if self.client.send(event, snapshots):
self.db.execute("DELETE FROM queue WHERE id = ?", (rid,))
self.db.commit()
sent += 1
continue
# Failed. A bool send() can't tell a transient outage from a permanently-rejected
# (poison) event, so count attempts: below the cap, stop and preserve order (an
# outage recovers and the whole queue drains next flush); at the cap, DROP this
# row and continue so a poison head can never wedge the queue forever.
attempts += 1
if attempts >= self.max_send_attempts:
self.db.execute("DELETE FROM queue WHERE id = ?", (rid,))
self.db.commit()
continue
self.db.execute("UPDATE queue SET attempts = ? WHERE id = ?", (attempts, rid))
self.db.commit()
break # transient — preserve order, retry the whole queue next time
return sent
def pending(self) -> int:
return self.db.execute("SELECT COUNT(*) FROM queue").fetchone()[0]