# usb_camera_app.py
# 菜品识别：仅 USB 相机（UI 复用 ui.classifier_ui）

import os
import sys
import threading
import time

import cv2

if hasattr(sys, 'frozen'):
    os.environ['PYTHONIOENCODING'] = 'utf-8'

from ui.classifier_ui import BaseDishApp, run_app


class ImageClassifierDemo(BaseDishApp):
    window_title = "菜品识别系统"
    app_title = "菜品识别系统"
    edition_label = "USB 相机版"
    camera_display_name = "USB相机"

    def __init__(self, root):
        self.cap = None
        self._frame_lock = threading.Lock()
        super().__init__(root)

    def auto_connect_camera(self):
        def connect_thread():
            try:
                self.cap = cv2.VideoCapture(0)
                self.cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
                self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
                self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
                if self.cap.isOpened():
                    self.camera_connected = True
                    self.root.after(0, self._update_camera_ui_success)
                    return
                self.cap = None
            except Exception as e:
                self.cap = None
                print(f"USB相机连接失败：{e}")
            self.root.after(0, self._update_camera_ui_fail)

        threading.Thread(target=connect_thread, daemon=True).start()

    def grab_preview_frame(self):
        if not self.camera_connected or self.cap is None:
            return None
        with self._frame_lock:
            try:
                # 丢掉缓冲旧帧，取最新
                for _ in range(2):
                    self.cap.grab()
                ret, frame = self.cap.read()
                if ret and frame is not None and frame.size > 0:
                    return frame
            except Exception as e:
                print(f"USB取帧失败: {e}")
        return None

    def take_photo(self):
        if not self.camera_connected or self.cap is None:
            return -1, None
        os.makedirs("images", exist_ok=True)
        capture_time = time.strftime("%Y%m%d_%H%M%S")
        save_path = os.path.abspath(f'images/capture_{capture_time}.jpg')
        try:
            frame = self.grab_preview_frame()
            if frame is None:
                return -1, None
            if cv2.imwrite(save_path, frame):
                return 0, save_path
        except Exception as e:
            print(f"USB拍照失败: {e}")
        return -1, None

    def close_camera(self):
        if self.cap is not None:
            self.cap.release()
            self.cap = None
            self.camera_connected = False


if __name__ == "__main__":
    # 与界面一同启动本机客户端服务（媒体 HTTP :9100；排餐/设备状态在 BaseDishApp 内拉起）
    try:
        from service.media_server import ensure_media_server
        ensure_media_server()
    except Exception as exc:
        print(f'[WARN] media server start failed: {exc}')
    run_app(ImageClassifierDemo)