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The live Obico classification was only visible under Settings -> Failure Detection, so tracking how detection matched an ongoing print meant flipping between the Printers screen and Settings. Each printer card's badge row now shows an AI badge whenever detection is enabled for that printer, like the other health badges: gray Idle while no print is being watched, then green Safe, amber Warning, or red Failure while a print is actively monitored. The tooltip carries the current smoothed score; clicking jumps to the full detection status and history in Settings. Printers excluded from the monitored subset show no badge. Served by a new lightweight /obico/printer-status endpoint readable with printer permissions alone - it exposes only the enabled flag, the monitored-printer set, and per-printer classification, keeping ML URL and other configuration behind the existing settings-gated endpoint.
370 lines
15 KiB
Python
370 lines
15 KiB
Python
"""Obico AI print-failure detection service.
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Polls a self-hosted Obico ML API with snapshots from each monitored printer
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while a print is running, smooths scores over time, and dispatches a configured
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action (notify / pause / pause_and_off) when a sustained failure is detected.
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See `obico_smoothing.py` for the per-print EWM + rolling-mean math.
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"""
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import asyncio
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import json
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import logging
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import secrets
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import time
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from collections import deque
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from datetime import datetime, timezone
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import httpx
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from sqlalchemy import select
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from backend.app.core.database import async_session
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from backend.app.models.printer import Printer
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from backend.app.models.settings import Settings
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from backend.app.services.obico_smoothing import (
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PrintState,
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classify,
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score_from_detections,
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thresholds,
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)
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logger = logging.getLogger(__name__)
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HISTORY_MAX = 50
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HEALTH_TIMEOUT = 5.0
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DETECTION_TIMEOUT = 30.0
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SNAPSHOT_CAPTURE_TIMEOUT = 20 # seconds — we control this, not Obico
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FRAME_CACHE_TTL = 30.0 # seconds — Obico usually fetches within 1s of receiving the URL
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# Module-level one-shot frame cache. Obico's ML API is GET-only (/p/?img=URL) and
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# fetches the URL itself with a hardcoded 5s read timeout. We capture locally first,
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# stash the JPEG under a random nonce, and hand Obico a URL that serves the cached
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# bytes instantly — so the 5s ceiling never races RTSP keyframe wait.
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_frame_cache: dict[str, tuple[bytes, float]] = {}
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_frame_cache_lock = asyncio.Lock()
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def _prune_frame_cache() -> None:
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"""Drop entries older than FRAME_CACHE_TTL. Called under the cache lock."""
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now = time.monotonic()
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expired = [k for k, (_b, ts) in _frame_cache.items() if now - ts > FRAME_CACHE_TTL]
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for k in expired:
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_frame_cache.pop(k, None)
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async def stash_frame(data: bytes) -> str:
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"""Store JPEG bytes and return a URL-safe nonce that serves them once."""
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nonce = secrets.token_urlsafe(32)
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async with _frame_cache_lock:
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_prune_frame_cache()
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_frame_cache[nonce] = (data, time.monotonic())
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return nonce
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async def pop_frame(nonce: str) -> bytes | None:
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"""Return and remove a cached frame by nonce; None if missing or expired."""
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async with _frame_cache_lock:
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_prune_frame_cache()
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entry = _frame_cache.pop(nonce, None)
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if entry is None:
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return None
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data, ts = entry
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if time.monotonic() - ts > FRAME_CACHE_TTL:
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return None
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return data
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class ObicoDetectionService:
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"""Singleton service that polls the ML API and acts on sustained failures."""
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def __init__(self):
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self._task: asyncio.Task | None = None
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# printer_id -> PrintState (reset when a new print starts)
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self._states: dict[int, PrintState] = {}
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# printer_id -> task_name active when state was created (used to detect new prints)
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self._state_keys: dict[int, str] = {}
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# printer_id -> last classification ("safe"/"warning"/"failure")
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self._last_class: dict[int, str] = {}
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# printer_id -> whether an action has already been fired for the current print
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self._action_fired: dict[int, bool] = {}
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# Global detection event log (most-recent-first)
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self._history: deque = deque(maxlen=HISTORY_MAX)
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self._last_error: str | None = None
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# ---- lifecycle ----
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async def start(self):
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if self._task is not None:
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return
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logger.info("Starting Obico detection service")
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self._task = asyncio.create_task(self._loop())
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def stop(self):
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if self._task:
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self._task.cancel()
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self._task = None
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logger.info("Stopped Obico detection service")
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# ---- settings ----
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async def _load_settings(self) -> dict:
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keys = [
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"obico_enabled",
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"obico_ml_url",
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"obico_sensitivity",
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"obico_action",
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"obico_poll_interval",
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"obico_enabled_printers",
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"external_url",
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]
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async with async_session() as db:
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result = await db.execute(select(Settings).where(Settings.key.in_(keys)))
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rows = {r.key: r.value for r in result.scalars().all()}
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enabled_printers_raw = rows.get("obico_enabled_printers", "")
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if enabled_printers_raw:
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try:
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enabled_printers = set(json.loads(enabled_printers_raw))
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except json.JSONDecodeError:
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enabled_printers = set()
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else:
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enabled_printers = None # None = all printers
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return {
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"enabled": rows.get("obico_enabled", "false").lower() == "true",
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"ml_url": (rows.get("obico_ml_url") or "").rstrip("/"),
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"sensitivity": rows.get("obico_sensitivity", "medium"),
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"action": rows.get("obico_action", "notify"),
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"poll_interval": int(rows.get("obico_poll_interval", "10")),
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"enabled_printers": enabled_printers,
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"external_url": (rows.get("external_url") or "").rstrip("/"),
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}
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# ---- main loop ----
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async def _loop(self):
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"""Poll active printers while enabled. Adjusts interval from settings each cycle."""
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while True:
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try:
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settings = await self._load_settings()
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interval = max(5, settings.get("poll_interval", 10))
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if not settings["enabled"] or not settings["ml_url"]:
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await asyncio.sleep(interval)
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continue
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await self._poll_once(settings)
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await asyncio.sleep(interval)
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except asyncio.CancelledError:
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break
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except Exception as e:
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logger.error("Obico detection loop error: %s", e)
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self._last_error = str(e) or type(e).__name__
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await asyncio.sleep(30)
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async def _poll_once(self, settings: dict):
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# Late import to avoid cycles at module load time
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from backend.app.services.printer_manager import printer_manager
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statuses = printer_manager.get_all_statuses()
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for printer_id, status in list(statuses.items()):
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if settings["enabled_printers"] is not None and printer_id not in settings["enabled_printers"]:
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continue
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if not printer_manager.is_connected(printer_id):
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continue
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if not status or getattr(status, "state", None) != "RUNNING":
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# Reset state when not printing so the next print starts fresh
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self._states.pop(printer_id, None)
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self._state_keys.pop(printer_id, None)
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self._action_fired.pop(printer_id, None)
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continue
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await self._check_printer(printer_id, status, settings)
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async def _capture_frame(self, printer_id: int) -> bytes | None:
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"""Capture one JPEG frame from the printer camera. Returns None on failure."""
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# Late import to avoid cycles at module load time
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from backend.app.services.camera import capture_camera_frame_bytes
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from backend.app.services.external_camera import capture_frame as capture_external_frame
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async with async_session() as db:
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printer = await db.get(Printer, printer_id)
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if printer is None:
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self._last_error = f"Printer {printer_id} not found"
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return None
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if printer.external_camera_enabled and printer.external_camera_url:
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return await capture_external_frame(
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printer.external_camera_url,
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printer.external_camera_type,
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timeout=SNAPSHOT_CAPTURE_TIMEOUT,
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snapshot_url=printer.external_camera_snapshot_url,
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)
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# Reuse the fan-out broadcaster's buffered frame when a viewer is
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# already watching — avoids opening a second concurrent RTSP socket
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# on printers that allow only one camera connection (e.g. X2D
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# firmware 01.01.00.00; see #1271). Buffered frame is <1s old while
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# a viewer is connected.
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#
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# When a viewer is attached but no frame is buffered yet (startup
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# race, mid-reconnect), we DELIBERATELY skip this poll cycle instead
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# of falling through to capture_camera_frame_bytes. Opening a fresh
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# RTSP/chamber socket would compete with the live viewer and kick
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# the fan-out connection on most firmwares — exactly the freeze
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# reported in #1348. The poll loop retries in ~10s.
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from backend.app.api.routes.camera import is_stream_active, try_get_active_buffered_frame
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if is_stream_active(printer_id):
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buffered = try_get_active_buffered_frame(printer_id)
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if buffered:
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return buffered
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logger.info(
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"Obico: viewer attached for printer %s but buffer empty; skipping this poll to avoid competing camera socket (#1348)",
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printer_id,
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)
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return None
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return await capture_camera_frame_bytes(
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ip_address=printer.ip_address,
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access_code=printer.access_code,
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model=printer.model,
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timeout=SNAPSHOT_CAPTURE_TIMEOUT,
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)
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async def _check_printer(self, printer_id: int, status, settings: dict):
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task_name = getattr(status, "task_name", None) or getattr(status, "subtask_name", "") or ""
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key = f"{task_name}"
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if self._state_keys.get(printer_id) != key:
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self._states[printer_id] = PrintState()
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self._state_keys[printer_id] = key
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self._action_fired[printer_id] = False
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# Capture locally first, then hand Obico a nonce URL that returns the
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# cached bytes instantly. Obico's ML API is GET-only (/p/?img=URL) with a
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# hardcoded 5s read timeout which would otherwise race our /camera/snapshot
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# keyframe wait.
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frame = await self._capture_frame(printer_id)
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if not frame:
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self._last_error = f"Failed to capture snapshot for printer {printer_id}"
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logger.warning(self._last_error)
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return
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external_url = settings.get("external_url") or ""
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if not external_url:
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self._last_error = (
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"external_url setting is empty — Obico's ML API needs a reachable URL to fetch the snapshot from. "
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"Set Settings → General → External URL."
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)
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logger.warning(self._last_error)
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return
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nonce = await stash_frame(frame)
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snapshot_url = f"{external_url}/api/v1/obico/cached-frame/{nonce}"
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ml_url = f"{settings['ml_url']}/p/"
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try:
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async with httpx.AsyncClient(timeout=DETECTION_TIMEOUT) as client:
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resp = await client.get(ml_url, params={"img": snapshot_url})
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resp.raise_for_status()
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payload = resp.json()
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except Exception as e:
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detail = str(e) or type(e).__name__
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self._last_error = f"ML API call failed for printer {printer_id}: {detail}"
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logger.warning(self._last_error)
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return
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detections = payload.get("detections", []) if isinstance(payload, dict) else []
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current_p = score_from_detections(detections)
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state = self._states[printer_id]
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score = state.update(current_p)
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verdict = classify(score, settings["sensitivity"])
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self._last_class[printer_id] = verdict
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# A successful capture + ML call clears any transient error from previous
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# polls (typical case: cold-start RTSP timeout on first frame after startup,
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# followed by healthy polls that otherwise leave the banner stuck in the UI).
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self._last_error = None
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# Log every non-safe sample — safe samples would flood history
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if verdict != "safe" or detections:
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self._history.appendleft(
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{
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"printer_id": printer_id,
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"task_name": task_name,
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"timestamp": datetime.now(timezone.utc).isoformat(),
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"current_p": round(current_p, 4),
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"score": round(score, 4),
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"class": verdict,
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"detections": len(detections),
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}
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)
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if verdict == "failure" and not self._action_fired.get(printer_id):
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self._action_fired[printer_id] = True
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await self._dispatch_action(printer_id, settings["action"], task_name, score)
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async def _dispatch_action(self, printer_id: int, action: str, task_name: str, score: float):
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from backend.app.services.obico_actions import execute_action
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logger.warning(
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"Obico: failure detected on printer %s (task=%r score=%.3f) — action=%s",
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printer_id,
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task_name,
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score,
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action,
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)
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try:
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await execute_action(printer_id, action, task_name, score)
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except Exception as e:
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self._last_error = f"Action dispatch failed: {e or type(e).__name__}"
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logger.error(self._last_error)
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# ---- queries ----
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def get_per_printer(self) -> dict:
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"""Live classification per actively monitored printer.
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Only printers with a running, monitored print have a state entry, so
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consumers get "show nothing" for idle printers for free.
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"""
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return {
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pid: {
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"class": self._last_class.get(pid, "safe"),
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"frame_count": state.frame_count,
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"score": round(state.ewm_mean, 4),
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}
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for pid, state in self._states.items()
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}
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def get_status(self, sensitivity: str = "medium") -> dict:
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# Report the thresholds for the configured sensitivity, not a hardcoded
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# "medium" — otherwise the Status panel always shows the medium row
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# regardless of the user's selection (#1469). thresholds() falls back
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# to the medium multiplier for any unrecognized value.
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low, high = thresholds(sensitivity)
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return {
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"is_running": self._task is not None and not self._task.done(),
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"last_error": self._last_error,
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"per_printer": self.get_per_printer(),
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"thresholds": {"low": low, "high": high},
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"history": list(self._history),
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}
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async def test_connection(self, url: str) -> dict:
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"""Ping the ML API health endpoint. Returns {ok, status_code, body, error}."""
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target = f"{url.rstrip('/')}/hc/"
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try:
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async with httpx.AsyncClient(timeout=HEALTH_TIMEOUT) as client:
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resp = await client.get(target)
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body = resp.text.strip()
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return {
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"ok": resp.status_code == 200 and body.lower() == "ok",
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"status_code": resp.status_code,
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"body": body,
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"error": None,
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}
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except Exception as e:
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return {"ok": False, "status_code": None, "body": None, "error": str(e) or type(e).__name__}
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obico_detection_service = ObicoDetectionService()
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