131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
import threading
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import time
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from dataclasses import dataclass
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from typing import Optional
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from datetime import datetime
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from pathlib import Path
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import cv2
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from config import AppConfig
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from services.attendance import AttendanceService
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from services.inference import FacePredictor
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@dataclass
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class CameraState:
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running: bool
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last_identity: Optional[str]
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last_confidence: float
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last_message: str
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class CameraAttendanceRunner:
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def __init__(
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self,
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config: AppConfig,
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predictor: FacePredictor,
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attendance_service: AttendanceService,
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) -> None:
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self.config = config
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self.predictor = predictor
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self.attendance_service = attendance_service
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self._running = False
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self._thread: Optional[threading.Thread] = None
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self._last_identity: Optional[str] = None
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self._last_confidence: float = 0.0
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self._last_message: str = "idle"
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def start(self) -> None:
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if self._running:
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return
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self._running = True
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self._thread = threading.Thread(target=self._run_loop, daemon=True)
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self._thread.start()
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def stop(self) -> None:
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self._running = False
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if self._thread is not None:
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self._thread.join(timeout=2.0)
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def state(self) -> CameraState:
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return CameraState(
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running=self._running,
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last_identity=self._last_identity,
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last_confidence=self._last_confidence,
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last_message=self._last_message,
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)
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def _save_camera_frame(self, frame: cv2.Mat) -> str:
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"""Save camera frame to disk and return relative path.
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Returns: Relative path like 'attendance_pictures/camera_2026-02-05_14-30-45_123.jpg'
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"""
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picture_dir = self.config.project_root / "attendance_pictures"
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picture_dir.mkdir(exist_ok=True)
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timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S-%f")[:-3]
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filename = f"camera_{timestamp}.jpg"
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filepath = picture_dir / filename
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cv2.imwrite(str(filepath), frame)
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return f"attendance_pictures/{filename}"
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def _run_loop(self) -> None:
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cap = cv2.VideoCapture(self.config.camera_id)
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if not cap.isOpened():
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self._last_message = "camera open failed"
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self._running = False
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return
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last_action_ts = 0.0
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try:
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while self._running:
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ok, frame = cap.read()
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if not ok:
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self._last_message = "frame read failed"
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time.sleep(0.2)
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continue
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prediction = self.predictor.predict(frame)
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if prediction is None:
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self._last_message = "no face detected"
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continue
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self._last_identity = prediction.recognized_name
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self._last_confidence = prediction.confidence
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if prediction.confidence < self.config.threshold:
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self._last_message = "low confidence"
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continue
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# Check if student can mark attendance (not already attended today)
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can_attend, check_message, student_id, student_name = self.attendance_service.can_mark_attendance(
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recognized_name=prediction.recognized_name
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)
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if not can_attend:
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self._last_message = check_message
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continue
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now_ts = time.time()
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if now_ts - last_action_ts < self.config.camera_check_interval_sec:
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continue
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# Save the frame only if eligibility check passed
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picture_filename = self._save_camera_frame(frame)
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result = self.attendance_service.mark_attendance(
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recognized_name=prediction.recognized_name,
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confidence=prediction.confidence,
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source="camera",
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picture_filename=picture_filename,
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)
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self._last_message = result.message
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last_action_ts = now_ts
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finally:
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cap.release()
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