""" Dorayaki recognition server (どら焼き). The computer-vision model runs here, as a service. Capture clients talk to it over a versioned REST API (stills, catalog, inspect) and a WebSocket stream (live frames in, tracked products and labels out). Any number of clients can connect at once; no client shares state with another. Run: python code/app.py --port 8080 python code/app.py --host 0.0.0.0 --port 8080 # LAN, set DORAYAKI_API_TOKEN python code/app.py --ssl-certfile cert.pem --ssl-keyfile key.pem The web client is served from / and is a pure client of the API; it can also be pointed at another server with ?server=https://host:port. """ from __future__ import annotations import argparse import asyncio import base64 import hmac import json import logging import os import sys import time import uuid from dataclasses import dataclass from typing import Any, Dict, List, Optional # Keep the demo off the network before anything imports ultralytics. os.environ.setdefault("YOLO_OFFLINE", "1") os.environ.setdefault("YOLO_AUTOINSTALL", "false") current_dir = os.path.dirname(os.path.abspath(__file__)) project_root = os.path.dirname(current_dir) if os.path.exists(os.path.join(project_root, "stock")): os.chdir(project_root) if current_dir not in sys.path: sys.path.insert(0, current_dir) from fastapi import ( # noqa: E402 Depends, FastAPI, Header, HTTPException, Request, WebSocket, WebSocketDisconnect, ) from fastapi.exceptions import RequestValidationError # noqa: E402 from fastapi.middleware.cors import CORSMiddleware # noqa: E402 from fastapi.responses import FileResponse, JSONResponse, Response # noqa: E402 from fastapi.staticfiles import StaticFiles # noqa: E402 from pydantic import BaseModel, Field # noqa: E402 from engine import ( # noqa: E402 CLASSIFY_METHODS, COORDINATE_CONVENTION, EngineSettings, ImageExpired, RecognitionEngine, STATE_DETECTED, UndecodableImage, UnknownMethod, build_default_engine, identity_payload, settings_from_env, ) from live import LiveSession, LiveSettings # noqa: E402 LOGGER = logging.getLogger("dorayaki") MAX_UPLOAD_BYTES = 20 * 1024 * 1024 MAX_FRAME_BYTES = 4 * 1024 * 1024 DEFAULT_MAX_SESSIONS = 4 WS_IDLE_TIMEOUT_S = 120.0 CATALOG_VERSION_FALLBACK = "unknown" # --------------------------------------------------------------------------- # settings # --------------------------------------------------------------------------- @dataclass class ServerSettings: host: str = "127.0.0.1" port: int = 8080 token: Optional[str] = None cors_origins: str = "*" max_sessions: int = DEFAULT_MAX_SESSIONS live_method: str = "hybrid" live_conf: float = 0.1 live_tags: bool = True log_level: str = "info" ssl_certfile: Optional[str] = None ssl_keyfile: Optional[str] = None def server_settings_from_env() -> ServerSettings: base = ServerSettings() return ServerSettings( host=os.environ.get("DORAYAKI_HOST", base.host), port=int(os.environ.get("DORAYAKI_PORT", base.port)), token=os.environ.get("DORAYAKI_API_TOKEN") or None, cors_origins=os.environ.get("DORAYAKI_CORS_ORIGINS", base.cors_origins), max_sessions=int(os.environ.get("DORAYAKI_MAX_SESSIONS", base.max_sessions)), live_method=os.environ.get("DORAYAKI_LIVE_METHOD", base.live_method), live_conf=float(os.environ.get("DORAYAKI_LIVE_CONF", base.live_conf)), live_tags=os.environ.get("DORAYAKI_LIVE_TAGS", "1").lower() not in ("0", "false", "no"), log_level=os.environ.get("DORAYAKI_LOG_LEVEL", base.log_level), ssl_certfile=os.environ.get("DORAYAKI_SSL_CERTFILE") or None, ssl_keyfile=os.environ.get("DORAYAKI_SSL_KEYFILE") or None, ) # --------------------------------------------------------------------------- # request models # --------------------------------------------------------------------------- class StockUpdateBody(BaseModel): delta: int = Field(..., ge=-100, le=100, description="units added (+) or dispensed (-)") class ClassifyBody(BaseModel): method: Optional[str] = None detection_ids: Optional[List[int]] = None class InspectBody(BaseModel): box: List[int] = Field(..., min_length=4, max_length=4) method: Optional[str] = None # --------------------------------------------------------------------------- # helpers # --------------------------------------------------------------------------- def _error(code: str, message: str, status_code: int) -> HTTPException: return HTTPException(status_code=status_code, detail={"error": {"code": code, "message": message}}) def _require_method(method: Optional[str]) -> str: chosen = (method or "hybrid").lower() if chosen not in CLASSIFY_METHODS: raise _error("BAD_REQUEST", f"unknown method '{method}'", 400) return chosen def get_available_shelf_images(add_dir: str = "add") -> List[Dict[str, str]]: """Same demo set the old /api/shelf_samples returned, now id-keyed.""" items: List[Dict[str, str]] = [] if os.path.exists("image.jpg"): items.append({"id": "main_shelf", "path": "image.jpg", "label": "image.jpg (Main Shelf)"}) if os.path.exists(add_dir): valid_exts = (".webp", ".jpg", ".jpeg", ".png") files = sorted( [f for f in os.listdir(add_dir) if f.lower().endswith(valid_exts)], key=lambda x: (len(x), x), ) for name in files: items.append( { "id": name.rsplit(".", 1)[0], "path": os.path.join(add_dir, name).replace("\\", "/"), "label": f"{add_dir}/{name}", } ) mosaic = "runs/detect/train/train_batch0.jpg" if os.path.exists(mosaic): items.append({"id": "train_mosaic", "path": mosaic, "label": "train_batch0.jpg (Mosaic)"}) return items def build_legacy_scans(engine: RecognitionEngine): """The /api/sessions* routes kept from the earlier session model, now backed by the real engine instead of the fake adapter.""" from observe import PerceptionService, ScanService from yolo_adapter import YoloMatcherAdapter class _DetectorFacade: def __init__(self, engine: RecognitionEngine): self.engine = engine self.weights_path = engine.settings.weights_path def detect(self, image, conf_threshold: float = 0.25, iou_threshold: float = 0.45): boxes = self.engine.detect(image, conf=conf_threshold) return {"status": "success", "boxes": boxes, "total_detected": len(boxes)} def detect_empty_slots(self, image_shape, boxes, min_gap_ratio: float = 0.75): return self.engine.empty_slots(image_shape, boxes) def crop_roi(self, image, box): return self.engine.crop(image, box) class _MatcherFacade: def __init__(self, engine: RecognitionEngine): self.engine = engine def classify_crop(self, crop, method: str = "hybrid"): scores = self.engine.score_crop(crop, method=method) from identity import decide_identity return decide_identity(scores, method=method) adapter = YoloMatcherAdapter(_DetectorFacade(engine), _MatcherFacade(engine), method="hybrid") return ScanService(PerceptionService(adapter)) # --------------------------------------------------------------------------- # app factory # --------------------------------------------------------------------------- def create_app( engine: RecognitionEngine, settings: Optional[ServerSettings] = None, *, web_dir: Optional[str] = None, scans: Any = None, ) -> FastAPI: settings = settings or server_settings_from_env() app = FastAPI( title="Dorayaki Recognition Server", version="1.0", description="Shelf product detection, tracking and classification for capture clients.", ) app.add_middleware( CORSMiddleware, allow_origins=[o.strip() for o in settings.cors_origins.split(",") if o.strip()] or ["*"], allow_credentials=False, allow_methods=["*"], allow_headers=["*"], ) scans = scans if scans is not None else build_legacy_scans(engine) samples = {item["id"]: item for item in get_available_shelf_images("add")} sessions: Dict[str, LiveSession] = {} sessions_lock = asyncio.Lock() app.state.engine = engine app.state.sessions = sessions async def authorize(authorization: Optional[str] = Header(default=None)) -> None: if not settings.token: return expected = f"Bearer {settings.token}" if not authorization or not hmac.compare_digest(authorization, expected): raise _error("UNAUTHORIZED", "missing or invalid bearer token", 401) # ---------------------------------------------------------------- health @app.get("/v1/health") async def health() -> Dict[str, Any]: return { "status": "ok", "model": { "version": engine.model_version(), "device": getattr(engine.settings, "device", None) or "auto", "imgsz": getattr(engine.settings, "imgsz", 640), "warm": True, }, "catalog": {"version": engine.catalog_version(), "sku_count": engine.sku_count()}, "sessions_active": len(sessions), "uptime_s": round(engine.uptime_s(), 1), } # ---------------------------------------------------------------- catalog @app.get("/v1/catalog", dependencies=[Depends(authorize)]) async def catalog() -> Dict[str, Any]: return {"catalog_version": engine.catalog_version(), "products": engine.catalog()} @app.get("/v1/catalog/{sku_id}/image", dependencies=[Depends(authorize)]) async def catalog_image(sku_id: str) -> Response: path = engine.catalog_image_path(sku_id) if not path: raise _error("NOT_FOUND", f"no catalog image for '{sku_id}'", 404) return FileResponse(path) @app.post("/v1/catalog/{sku_id}/stock", dependencies=[Depends(authorize)]) async def update_stock(sku_id: str, body: StockUpdateBody) -> Dict[str, Any]: if body.delta == 0: raise _error("VALIDATION_ERROR", "delta must not be zero", 422) product = engine.update_stock(sku_id, body.delta) if product is None: raise _error("NOT_FOUND", f"unknown sku '{sku_id}'", 404) return {"status": "success", "product": product} # ---------------------------------------------------------------- samples @app.get("/v1/samples", dependencies=[Depends(authorize)]) async def list_samples() -> Dict[str, Any]: return { "samples": [ {"id": item["id"], "label": item["label"], "url": f"/v1/samples/{item['id']}"} for item in samples.values() ] } @app.get("/v1/samples/{sample_id}", dependencies=[Depends(authorize)]) async def get_sample(sample_id: str) -> Response: item = samples.get(sample_id) if not item or not os.path.exists(item["path"]): raise _error("NOT_FOUND", f"no sample '{sample_id}'", 404) return FileResponse(item["path"]) # ---------------------------------------------------------------- recognize @app.post("/v1/recognize", dependencies=[Depends(authorize)]) async def recognize( request: Request, classify: bool = True, method: Optional[str] = None, conf: Optional[float] = None, empty_slots: bool = True, tags: bool = False, ) -> Dict[str, Any]: if method is not None: _require_method(method) content_type = (request.headers.get("content-type") or "").split(";")[0].strip().lower() if content_type == "multipart/form-data": form = await request.form() upload = form.get("file") if upload is None or not hasattr(upload, "read"): raise _error("BAD_REQUEST", "multipart body needs a 'file' field", 400) payload = await upload.read() else: if content_type and not content_type.startswith("image/") and content_type != "application/octet-stream": raise _error("UNSUPPORTED_MEDIA_TYPE", f"unsupported content type '{content_type}'", 415) payload = await request.body() if not payload: raise _error("BAD_REQUEST", "empty request body", 400) if len(payload) > MAX_UPLOAD_BYTES: raise _error("PAYLOAD_TOO_LARGE", f"image larger than {MAX_UPLOAD_BYTES} bytes", 413) try: image = engine.decode_image(payload) except UndecodableImage as exc: raise _error("UNDECODABLE_IMAGE", str(exc), 422) try: result = engine.recognize( image, classify=classify, method=method, conf=conf, with_empty_slots=empty_slots, ) except UnknownMethod as exc: raise _error("BAD_REQUEST", str(exc), 400) if tags: result = _attach_still_tags(result, image) return result def _attach_still_tags(result: Dict[str, Any], image: Any) -> Dict[str, Any]: """Run one synchronous tag pass over a still and merge its evidence.""" ocr_engine = getattr(engine, "ocr_engine", None) if ocr_engine is None or not getattr(ocr_engine, "available", lambda: False)(): result["price_tags"] = {"readable": 0, "unreadable": 0, "absent": 0} result["compliance"] = {"violations": 0, "by_rule": {}, "rows": [], "hints": []} result["ocr_engine"] = "none" return result from reconcile import attach_tags_to_boxes from tags import TagService, TagSettings boxes = [ {"id": detection["id"], "box": detection["box"]} for detection in result["detections"] ] identities = { int(detection["id"]): detection["identity"] for detection in result["detections"] } catalog_by_sku = {product["sku_id"]: product for product in engine.catalog()} service = TagService(ocr_engine, settings=TagSettings()) started = time.perf_counter() bundle = attach_tags_to_boxes(service, image, boxes, catalog_by_sku, identities) elapsed_ms = (time.perf_counter() - started) * 1000.0 for detection in result["detections"]: box_id = int(detection["id"]) tag = bundle["by_box"].get(box_id) if tag is not None: detection["price_tag"] = tag reconciliation = bundle["reconciliations"].get(box_id) if reconciliation is not None: detection["reconciliation"] = reconciliation result["price_tags"] = bundle["counts"] result["compliance"] = bundle["compliance"] result["ocr_engine"] = ocr_engine.name result["tag_timing_ms"] = round(elapsed_ms, 1) return result @app.post("/v1/images/{image_id}/classify", dependencies=[Depends(authorize)]) async def classify_image(image_id: str, body: ClassifyBody) -> Dict[str, Any]: method = _require_method(body.method) try: stored = engine.image_store.get(image_id) except ImageExpired: raise _error("IMAGE_EXPIRED", f"image '{image_id}' is no longer available", 404) detections = stored.detections if body.detection_ids is not None: wanted = set(int(i) for i in body.detection_ids) detections = [d for d in detections if int(d["id"]) in wanted] started = time.perf_counter() rows = engine.classify_boxes(stored.image, detections, method=method) rows_by_id = {row["detection_id"]: row for row in rows} for detection in stored.detections: row = rows_by_id.get(int(detection["id"])) if row is not None: detection["identity"] = row["identity"] engine.image_store.update_detections(image_id, stored.detections) identities = [ { "detection_id": int(detection["id"]), "box": list(detection["box"]), "identity": detection["identity"], } for detection in detections ] summary = engine.summarize(stored.detections, []) return { "image_id": image_id, "method": method, "identities": identities, "summary": summary, "timing_ms": {"classify": round((time.perf_counter() - started) * 1000.0, 2)}, } @app.post("/v1/images/{image_id}/inspect", dependencies=[Depends(authorize)]) async def inspect_image(image_id: str, body: InspectBody) -> Dict[str, Any]: method = _require_method(body.method) try: stored = engine.image_store.get(image_id) except ImageExpired: raise _error("IMAGE_EXPIRED", f"image '{image_id}' is no longer available", 404) return engine.inspect(stored.image, body.box, method=method) # ---------------------------------------------------------------- live stream @app.websocket("/v1/stream") async def stream(websocket: WebSocket) -> None: if settings.token: supplied = websocket.query_params.get("token") or "" header = websocket.headers.get("authorization") or "" expected_header = f"Bearer {settings.token}" if not ( hmac.compare_digest(supplied, settings.token) or hmac.compare_digest(header, expected_header) ): await websocket.close(code=1008) return async with sessions_lock: if len(sessions) >= settings.max_sessions: await websocket.close(code=1013) return session_id = str(uuid.uuid4()) session = LiveSession( session_id, engine, settings=LiveSettings( method=settings.live_method, conf=settings.live_conf, max_inflight_per_session=engine.settings.live_inflight, tags=settings.live_tags, ), ) session.refresh_catalog() if settings.live_tags: session.enable_tags() sessions[session_id] = session await websocket.accept() send_lock = asyncio.Lock() loop = asyncio.get_running_loop() async def send(payload: Dict[str, Any]) -> None: async with send_lock: await websocket.send_text(json.dumps(payload)) await send( { "type": "hello", "protocol": 1, "session_id": session_id, "catalog_version": engine.catalog_version(), "model": { "version": engine.model_version(), "device": getattr(engine.settings, "device", None) or "auto", "imgsz": getattr(engine.settings, "imgsz", 640), }, "config": session.config(), "limits": {"max_frame_bytes": MAX_FRAME_BYTES}, } ) async def processing_loop() -> None: while not session.closed: pending = await loop.run_in_executor(None, session.take_pending, 0.25) if pending is None: continue frame_id, payload = pending try: result = await loop.run_in_executor(None, session.process_frame, frame_id, payload) except UndecodableImage: await send({"type": "error", "code": "UNDECODABLE_IMAGE", "frame_id": frame_id, "message": "frame is not a readable image"}) continue except Exception as exc: # keep the stream alive on one bad frame LOGGER.exception("live frame failed: %s", exc) await send({"type": "error", "code": "INTERNAL", "frame_id": frame_id, "message": "frame processing failed"}) continue await send(result) async def handle_inspect(message: Dict[str, Any]) -> None: request_id = message.get("request_id") try: track_id = int(message.get("track_id")) except (TypeError, ValueError): await send({"type": "error", "code": "BAD_MESSAGE", "request_id": request_id, "message": "track_id required"}) return method = message.get("method") if method is not None: try: method = _require_method(method) except HTTPException as exc: await send({"type": "error", "code": "BAD_MESSAGE", "request_id": request_id, "message": str(exc.detail)}) return try: result = await loop.run_in_executor(None, session.inspect, track_id, method) except KeyError: await send({"type": "error", "code": "TRACK_NOT_IN_VIEW", "request_id": request_id, "message": "track is not in the latest frame"}) return except Exception as exc: LOGGER.exception("inspect failed: %s", exc) await send({"type": "error", "code": "INTERNAL", "request_id": request_id, "message": "inspect failed"}) return payload = {"type": "inspect_result", "request_id": request_id, "track_id": track_id} payload.update(result) await send(payload) processing = asyncio.create_task(processing_loop()) async def handle_control(message: Dict[str, Any]) -> None: kind = message.get("type") if kind == "config": try: config = session.configure( method=message.get("method"), conf=message.get("conf"), empty_slots=message.get("empty_slots"), tags=message.get("tags"), ) except (TypeError, ValueError): await send({"type": "error", "code": "BAD_MESSAGE", "message": "bad config values"}) return await send({"type": "config_ack", "config": config}) elif kind == "reset": session.reset() await send({"type": "reset_ack"}) elif kind == "ping": await send({"type": "pong", "t": message.get("t")}) elif kind == "inspect": await handle_inspect(message) else: await send({"type": "error", "code": "BAD_MESSAGE", "message": f"unknown type '{kind}'"}) try: while True: try: message = await asyncio.wait_for(websocket.receive(), timeout=WS_IDLE_TIMEOUT_S) except asyncio.TimeoutError: break if message.get("type") == "websocket.disconnect": break text = message.get("text") data = message.get("bytes") if data is not None: if len(data) < 5: await send({"type": "error", "code": "BAD_FRAME", "message": "frame shorter than 5 bytes"}) continue if len(data) > MAX_FRAME_BYTES + 4: await send({"type": "error", "code": "PAYLOAD_TOO_LARGE", "message": "frame too large"}) continue frame_id = int.from_bytes(data[:4], "big") session.submit_frame(frame_id, data[4:]) elif text is not None: try: parsed = json.loads(text) if not isinstance(parsed, dict): raise ValueError("not an object") except (json.JSONDecodeError, ValueError): await send({"type": "error", "code": "BAD_MESSAGE", "message": "invalid JSON"}) continue await handle_control(parsed) except WebSocketDisconnect: pass finally: session.close() processing.cancel() try: await processing except (asyncio.CancelledError, Exception): pass async with sessions_lock: sessions.pop(session_id, None) # ---------------------------------------------------------------- legacy session routes @app.post("/api/sessions") async def legacy_start_session(payload: Dict[str, Any] = None) -> Dict[str, Any]: payload = payload or {} session = scans.start_session( zone_id=str(payload.get("zone_id") or "zone-1"), catalog_version=str(payload.get("catalog_version") or "stock-v1"), capture_kind=str(payload.get("capture_kind") or "sampled"), ) return {"status": "success", "session": session.snapshot()} @app.post("/api/sessions/{session_id}/frames") async def legacy_observe_frame(session_id: str, payload: Dict[str, Any] = None) -> Dict[str, Any]: from observe import FrameRequest, ObserveError payload = payload or {} try: session = scans.get_session(session_id) raw = payload.get("frame_bytes_b64") or payload.get("image_base64") or "" if "," in raw: raw = raw.split(",", 1)[1] request = FrameRequest( frame_id=str(payload.get("frame_id") or ""), frame_bytes=base64.b64decode(raw) if raw else b"", sequence=int(payload.get("sequence", 0)), captured_at=float(payload.get("captured_at") or 0), session_id=session.session_id, zone_id=session.zone_id, catalog_version=session.catalog_version, capture_kind=str(payload.get("capture_kind") or session.capture_kind), width=payload.get("width"), height=payload.get("height"), ) if not request.frame_id: raise _error("BAD_REQUEST", "frame_id required", 400) observation = scans.observe_frame(request) return {"status": "success", "observation": observation.as_dict(), "session": session.snapshot()} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) @app.get("/api/sessions/{session_id}") async def legacy_get_session(session_id: str) -> Dict[str, Any]: from observe import ObserveError try: return {"status": "success", "session": scans.get_session(session_id).snapshot()} except ObserveError as exc: raise _error("NOT_FOUND", str(exc), 404) @app.post("/api/sessions/{session_id}/review") async def legacy_review(session_id: str, payload: Dict[str, Any] = None) -> Dict[str, Any]: from observe import ObserveError payload = payload or {} try: snapshot = scans.review( session_id, actor=str(payload.get("actor") or "operator"), reason=str(payload.get("reason") or "manual-review"), note=payload.get("note"), ) return {"status": "success", "session": snapshot} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) @app.post("/api/sessions/{session_id}/finalize") async def legacy_finalize(session_id: str) -> Dict[str, Any]: from observe import ObserveError try: return {"status": "success", "session": scans.finalize(session_id)} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) @app.post("/api/sessions/{session_id}/cancel") async def legacy_cancel(session_id: str) -> Dict[str, Any]: from observe import ObserveError try: return {"status": "success", "session": scans.cancel(session_id)} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) @app.post("/api/sessions/{session_id}/rescan") async def legacy_rescan(session_id: str) -> Dict[str, Any]: from observe import ObserveError try: return {"status": "success", "session": scans.rescan(session_id).snapshot()} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) @app.post("/api/compare_live_vs_still") async def legacy_compare(payload: Dict[str, Any] = None) -> Dict[str, Any]: from observe import ObserveError payload = payload or {} try: comparison = scans.compare_live_vs_still( str(payload.get("sampled_session_id")), str(payload.get("still_session_id")) ) return {"status": "success", "comparison": comparison} except ObserveError as exc: raise _error("CONFLICT", str(exc), 409) # ---------------------------------------------------------------- errors @app.exception_handler(RequestValidationError) async def validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse: first = (exc.errors() or [{}])[0] location = ".".join(str(part) for part in first.get("loc", []) if part != "body") message = first.get("msg", "invalid request") detail = f"{location}: {message}" if location else message return JSONResponse( status_code=422, content={"error": {"code": "VALIDATION_ERROR", "message": detail}} ) @app.exception_handler(HTTPException) async def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse: detail = exc.detail if isinstance(detail, dict) and "error" in detail: body = detail else: body = {"error": {"code": "HTTP_ERROR", "message": str(detail)}} return JSONResponse(status_code=exc.status_code, content=body) @app.exception_handler(Exception) async def unhandled_exception_handler(request: Request, exc: Exception) -> JSONResponse: LOGGER.exception("unhandled error on %s: %s", request.url.path, exc) return JSONResponse( status_code=500, content={"error": {"code": "INTERNAL", "message": "internal server error"}} ) # ---------------------------------------------------------------- static web client resolved_web_dir = web_dir or os.path.join(current_dir, "web") if os.path.isdir(resolved_web_dir): app.mount("/", StaticFiles(directory=resolved_web_dir, html=True), name="web") @app.on_event("shutdown") async def _shutdown() -> None: for session in list(sessions.values()): session.close() engine.shutdown() return app def create_fastapi_app( engine: RecognitionEngine, scans: Any = None, settings: Optional[ServerSettings] = None, ) -> FastAPI: """Back-compat entry point; the server entry point is create_app().""" return create_app(engine, settings, scans=scans) # --------------------------------------------------------------------------- # entry point # --------------------------------------------------------------------------- def main() -> None: parser = argparse.ArgumentParser(description="Dorayaki - shelf recognition server") parser.add_argument("--host", type=str, default=None) parser.add_argument("--port", type=int, default=None) parser.add_argument("--device", type=str, default=None, help="cpu | mps | cuda | cuda:0") parser.add_argument("--imgsz", type=int, default=None) parser.add_argument("--weights", type=str, default=None) parser.add_argument("--stock-dir", type=str, default=None) parser.add_argument("--classify-workers", type=int, default=None) parser.add_argument("--live-method", type=str, default=None, choices=list(CLASSIFY_METHODS)) parser.add_argument("--live-conf", type=float, default=None) parser.add_argument("--no-tags", action="store_true", help="disable price-tag OCR") parser.add_argument("--max-sessions", type=int, default=None) parser.add_argument("--ssl-certfile", type=str, default=None) parser.add_argument("--ssl-keyfile", type=str, default=None) parser.add_argument("--log-level", type=str, default=None) args = parser.parse_args() logging.basicConfig( level=(args.log_level or server_settings_from_env().log_level or "info").upper(), format="%(asctime)s %(levelname)s %(name)s: %(message)s", ) server = server_settings_from_env() if args.host is not None: server.host = args.host if args.port is not None: server.port = args.port if args.max_sessions is not None: server.max_sessions = args.max_sessions if args.live_method is not None: server.live_method = args.live_method if args.live_conf is not None: server.live_conf = args.live_conf if args.no_tags: server.live_tags = False if args.ssl_certfile is not None: server.ssl_certfile = args.ssl_certfile if args.ssl_keyfile is not None: server.ssl_keyfile = args.ssl_keyfile if args.log_level is not None: server.log_level = args.log_level engine_settings = settings_from_env() if args.device is not None: engine_settings.device = args.device if args.imgsz is not None: engine_settings.imgsz = args.imgsz if args.weights is not None: engine_settings.weights_path = args.weights if args.stock_dir is not None: engine_settings.stock_dir = args.stock_dir if args.classify_workers is not None: engine_settings.classify_workers = args.classify_workers LOGGER.info("Loading model and catalog (device=%s, imgsz=%s)...", engine_settings.device or "auto", engine_settings.imgsz) engine = build_default_engine(engine_settings) warm_ms = engine.warm_up() LOGGER.info( "Ready: %d SKUs, catalog %s, warmup %.0f ms, classify workers %d", engine.sku_count(), engine.catalog_version(), warm_ms, engine.classify_workers, ) app = create_app(engine, server) scheme = "https" if server.ssl_certfile else "http" LOGGER.info("Dorayaki recognition server on %s://%s:%d (token %s)", scheme, server.host, server.port, "required" if server.token else "off") if server.host in ("127.0.0.1", "localhost"): LOGGER.info("Open %s://127.0.0.1:%d in a browser for the web client", scheme, server.port) else: LOGGER.info("LAN mode: live camera needs https (secure context); use --ssl-certfile or a tunnel") import uvicorn uvicorn.run( app, host=server.host, port=server.port, log_level=(server.log_level or "info").lower(), access_log=False, # access log would print ?token=... query strings ws="websockets-sansio", ssl_certfile=server.ssl_certfile, ssl_keyfile=server.ssl_keyfile, ) if __name__ == "__main__": main()