feat: 增加BasicAuth

cam_web.py

@@ -2,6 +2,7 @@ import cv2
 import numpy as np
 from flask import Flask, render_template, request, jsonify, send_file
 from flask_socketio import SocketIO, emit
+from flask_httpauth import HTTPBasicAuth
 import io
 import base64
 import time
@@ -19,30 +20,46 @@ import tempfile
 
 from cap_trigger import ImageClient
 
-
-
 # --- 配置 ---
 SAVE_PATH_LEFT = "./static/received/left"
 SAVE_PATH_RIGHT = "./static/received/right"
-SAVE_PATH_LEFT_MARKED = "./static/received/left_marked"  # 标注图片保存路径
+SAVE_PATH_LEFT_MARKED = "./static/received/left_marked"
-SAVE_PATH_RIGHT_MARKED = "./static/received/right_marked"  # 标注图片保存路径
+SAVE_PATH_RIGHT_MARKED = "./static/received/right_marked"
 FLASK_HOST = "0.0.0.0"
 FLASK_PORT = 5000
-MAX_LIVE_FRAMES = 2 # 保留最新的几帧用于实时显示
+MAX_LIVE_FRAMES = 2
-DATABASE_PATH = "received_images.db" # SQLite 数据库文件路径
+DATABASE_PATH = "received_images.db"
 # --- 配置 ---
 
+USERNAME = os.getenv('BASIC_AUTH_USERNAME', 'admin')
+PASSWORD = os.getenv('BASIC_AUTH_PASSWORD', '19260817')
+
 # 设置日志
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
+app = Flask(__name__)
+app.config['SECRET_KEY'] = 'your-secret-key-change-this'
+socketio = SocketIO(app, cors_allowed_origins="*")
+
+auth = HTTPBasicAuth() # 创建 HTTPBasicAuth 实例
+
+@auth.verify_password
+def verify_password(username, password):
+    """验证用户名和密码"""
+    # 比较提供的用户名和密码与配置的值
+    if username == USERNAME and password == PASSWORD:
+        logger.info(f"Successful BasicAuth login for user: {username}")
+        return username # 返回用户名表示认证成功
+    else:
+        logger.warning(f"Failed BasicAuth attempt for user: {username}")
+        return None # 返回 None 表示认证失败
+
 # --- 数据库初始化 ---
 def init_db():
     """初始化 SQLite 数据库和表"""
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-    # 创建表，存储图片信息，添加标注图片字段
-    # --- Updated CREATE TABLE statement ---
     cursor.execute('''
         CREATE TABLE IF NOT EXISTS images (
             id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -58,126 +75,83 @@ def init_db():
             manual_detections_right TEXT,
             is_manual_labeled_left INTEGER DEFAULT 0,
             is_manual_labeled_right INTEGER DEFAULT 0,
-            left_position INTEGER DEFAULT 0, -- Added column
+            left_position INTEGER DEFAULT 0,
-            right_position INTEGER DEFAULT 0 -- Added column
+            right_position INTEGER DEFAULT 0
         )
     ''')
-    # --- End Update ---
     conn.commit()
     conn.close()
     logger.info(f"Database {DATABASE_PATH} initialized.")
 
 # --- 全局变量 ---
-# 用于存储最新的左右帧，用于实时显示
 latest_left_frame = None
 latest_right_frame = None
 latest_timestamp = None
-frame_lock = threading.Lock() # 保护全局帧变量
+frame_lock = threading.Lock()
-
-# --- Flask & SocketIO 应用 ---
-app = Flask(__name__)
-# 为生产环境配置 SECRET_KEY
-app.config['SECRET_KEY'] = 'your-secret-key-change-this'
-# 配置异步模式，如果需要异步处理可以调整
-socketio = SocketIO(app, cors_allowed_origins="*") # 允许所有来源，生产环境请具体配置
-
-# 初始化图像客户端
-image_client = ImageClient("tcp://175.24.228.220:7701", client_id="local")
 
 # 初始化数据库
 init_db()
+image_client = ImageClient("tcp://175.24.228.220:7701", client_id="local")
 
 def draw_detections_on_image(image: np.ndarray, detections: list, left_position: int = None, right_position: int = None) -> np.ndarray:
     """在图像上绘制检测框和位置信息"""
-    # 复制原图以避免修改原始图像
     marked_image = image.copy()
-    
+    color_map = {1: (0, 255, 0), 2: (255, 0, 0), 3: (0, 0, 255), 4: (255, 255, 0)}
-    # 定义颜色映射
-    color_map = {
-        1: (0, 255, 0),    # 绿色 - 弹药箱
-        2: (255, 0, 0),    # 蓝色 - 士兵
-        3: (0, 0, 255),    # 红色 - 枪支
-        4: (255, 255, 0)   # 青色 - 数字牌
-    }
-    
-    # 获取图像尺寸
     h, w = image.shape[:2]
 
+    position_text = ""
     if left_position is not None:
         position_text = f"POS/CAM_L: {left_position if left_position != 0 else 'NAN'}"
     elif right_position is not None:
         position_text = f"POS/CAM_R: {right_position if right_position != 0 else 'NAN'}"
-    else:
-        position_text = ""
 
     if position_text:
-        # 设置字体参数
         font = cv2.FONT_HERSHEY_SIMPLEX
         font_scale = 1.0
         font_thickness = 2
         text_size = cv2.getTextSize(position_text, font, font_scale, font_thickness)[0]
+        text_x, text_y = 10, 30
+        cv2.rectangle(marked_image, (text_x - 5, text_y - text_size[1] - 5), (text_x + text_size[0] + 5, text_y + 5), (255, 255, 255), -1)
+        cv2.putText(marked_image, position_text, (text_x, text_y), font, font_scale, (0, 0, 0), font_thickness)
 
-        # 计算文本背景位置
-        text_x = 10
-        text_y = 30
-        
-        # 绘制白色背景矩形
-        cv2.rectangle(marked_image, 
-                     (text_x - 5, text_y - text_size[1] - 5), 
-                     (text_x + text_size[0] + 5, text_y + 5), 
-                     (255, 255, 255), -1)
-        
-        # 绘制黑色文字
-        cv2.putText(marked_image, position_text, (text_x, text_y), 
-                   font, font_scale, (0, 0, 0), font_thickness)
-    
-    # 绘制每个检测框
     for detection in detections:
-        # 获取检测信息
         obj_id = detection.get("id", 0)
         label = detection.get("label", "")
         bbox = detection.get("bbox", [])
-        
         if len(bbox) == 4:
-            # 将归一化的坐标转换为实际像素坐标
             x_min = int(bbox[0] * w / 999)
             y_min = int(bbox[1] * h / 999)
             x_max = int(bbox[2] * w / 999)
             y_max = int(bbox[3] * h / 999)
-            
+            color = color_map.get(obj_id, (255, 255, 255))
-            # 获取颜色
-            color = color_map.get(obj_id, (255, 255, 255))  # 默认白色
-            
-            # 绘制边界框
             cv2.rectangle(marked_image, (x_min, y_min), (x_max, y_max), color, 2)
-            
+            cv2.putText(marked_image, f"{label} ({obj_id})", (x_min, y_min + 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
-            # 添加标签
-            label_text = f"{label} ({obj_id})"
-            cv2.putText(marked_image, label_text, (x_min, y_min + 10), 
-                       cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
-    
     return marked_image
 
 # --- Flask 路由 ---
 
+# 对需要保护的路由添加 @auth.login_required 装饰器
 @app.route('/')
+@auth.login_required # 需要认证才能访问主页
 def index():
     """主页，加载实时图像页面"""
+    logger.info(f"User {auth.current_user()} accessed the main page.")
     return render_template('index.html')
 
 @app.route('/list') # 新增路由用于显示图片列表
+@auth.login_required # 需要认证才能访问列表页
 def list_images():
     """加载图片列表页面"""
+    logger.info(f"User {auth.current_user()} accessed the image list page.")
     return render_template('list_images.html')
 
 @app.route('/api/images', methods=['GET'])
+@auth.login_required # 保护 API 端点
 def get_images_api():
     """API: 获取图片列表 (JSON 格式)"""
+    logger.info(f"User {auth.current_user()} requested image list API.")
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-    # 按时间倒序排列，包含标注图片字段和人工标注字段
-    # --- Updated query to directly select the new columns ---
-    # No more try/except needed for these specific columns if init_db creates them
     cursor.execute("""
         SELECT id, left_filename, right_filename, left_marked_filename, right_marked_filename,
                timestamp, metadata, comment, created_at, manual_detections_left, manual_detections_right,
@@ -186,15 +160,11 @@ def get_images_api():
         FROM images
         ORDER BY timestamp DESC
     """)
-    # --- End Update ---
-    
     rows = cursor.fetchall()
     conn.close()
-    # print(rows)
 
     images = []
     for row in rows:
-        # Note: Adjusting indices based on the new SELECT order
         images.append({
             "id": row[0],
             "left_filename": row[1],
@@ -205,28 +175,26 @@ def get_images_api():
             "metadata": row[6],
             "comment": row[7] or "",
             "created_at": row[8],
-            "manual_detections_left": row[9] or "[]", # Renamed for clarity
+            "manual_detections_left": row[9] or "[]",
-            "manual_detections_right": row[10] or "[]", # Renamed for clarity
+            "manual_detections_right": row[10] or "[]",
-            "is_manual_labeled_left": bool(row[11]) if row[11] is not None else False, # Renamed for clarity
+            "is_manual_labeled_left": bool(row[11]) if row[11] is not None else False,
-            "is_manual_labeled_right": bool(row[12]) if row[12] is not None else False, # Renamed for clarity
+            "is_manual_labeled_right": bool(row[12]) if row[12] is not None else False,
-            "left_position": row[13], # Updated index
+            "left_position": row[13],
-            "right_position": row[14] # Updated index
+            "right_position": row[14]
         })
-
-    # print(images)
-
     return jsonify(images)
 
 @app.route('/api/images', methods=['DELETE'])
+@auth.login_required
 def delete_image_api():
     """API: 删除单张图片记录及其文件"""
+    logger.info(f"User {auth.current_user()} requested to delete an image.")
     image_id = request.json.get('id')
     if not image_id:
         return jsonify({"error": "Image ID is required"}), 400
 
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-    # 查询文件名，包含标注图片
     cursor.execute("SELECT left_filename, right_filename, left_marked_filename, right_marked_filename FROM images WHERE id = ?", (image_id,))
     row = cursor.fetchone()
     if not row:
@@ -234,40 +202,31 @@ def delete_image_api():
         return jsonify({"error": "Image not found"}), 404
 
     left_filename, right_filename, left_marked_filename, right_marked_filename = row
-    # 删除数据库记录
     cursor.execute("DELETE FROM images WHERE id = ?", (image_id,))
     conn.commit()
     conn.close()
 
-    # 删除对应的文件，包括标注图片
     left_path = os.path.join(SAVE_PATH_LEFT, left_filename)
     right_path = os.path.join(SAVE_PATH_RIGHT, right_filename)
     left_marked_path = os.path.join(SAVE_PATH_LEFT_MARKED, left_marked_filename) if left_marked_filename else None
     right_marked_path = os.path.join(SAVE_PATH_RIGHT_MARKED, right_marked_filename) if right_marked_filename else None
 
     try:
-        if os.path.exists(left_path):
+        for path in [left_path, right_path, left_marked_path, right_marked_path]:
-            os.remove(left_path)
+            if path and os.path.exists(path):
-            logger.info(f"Deleted file: {left_path}")
+                os.remove(path)
-        if os.path.exists(right_path):
+                logger.info(f"Deleted file: {path}")
-            os.remove(right_path)
-            logger.info(f"Deleted file: {right_path}")
-        if left_marked_path and os.path.exists(left_marked_path):
-            os.remove(left_marked_path)
-            logger.info(f"Deleted file: {left_marked_path}")
-        if right_marked_path and os.path.exists(right_marked_path):
-            os.remove(right_marked_path)
-            logger.info(f"Deleted file: {right_marked_path}")
     except OSError as e:
         logger.error(f"Error deleting files: {e}")
-        # 即使删除文件失败，数据库记录也已删除，返回成功
         pass
 
     return jsonify({"message": f"Image {image_id} deleted successfully"})
 
 @app.route('/api/images/export', methods=['POST'])
+@auth.login_required
 def export_images_api():
     """API: 打包导出选中的图片，优先导出标注图片"""
+    logger.info(f"User {auth.current_user()} requested to export images.")
     selected_ids = request.json.get('ids', [])
     if not selected_ids:
         return jsonify({"error": "No image IDs selected"}), 400
@@ -275,7 +234,6 @@ def export_images_api():
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
     placeholders = ','.join('?' * len(selected_ids))
-    # 查询包含标注图片的文件名
     cursor.execute(f"SELECT left_filename, right_filename, left_marked_filename, right_marked_filename FROM images WHERE id IN ({placeholders})", selected_ids)
     rows = cursor.fetchall()
     conn.close()
@@ -283,29 +241,22 @@ def export_images_api():
     if not rows:
         return jsonify({"error": "No matching images found"}), 404
 
-    # 创建临时 ZIP 文件
     temp_zip_fd, temp_zip_path = tempfile.mkstemp(suffix='.zip')
-    os.close(temp_zip_fd) # 关闭文件描述符，让 zipfile 模块管理
+    os.close(temp_zip_fd)
 
     try:
         with zipfile.ZipFile(temp_zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
             for left_fn, right_fn, left_marked_fn, right_marked_fn in rows:
-                # 优先使用标注图片，如果没有则使用原图
                 left_export_fn = left_marked_fn if left_marked_fn else left_fn
                 right_export_fn = right_marked_fn if right_marked_fn else right_fn
-                
-                # 确定文件路径
                 left_export_path = os.path.join(SAVE_PATH_LEFT_MARKED if left_marked_fn else SAVE_PATH_LEFT, left_export_fn)
                 right_export_path = os.path.join(SAVE_PATH_RIGHT_MARKED if right_marked_fn else SAVE_PATH_RIGHT, right_export_fn)
-                
-                # 添加到 ZIP 文件
                 if os.path.exists(left_export_path):
                     zipf.write(left_export_path, os.path.join('left', left_export_fn))
                 if os.path.exists(right_export_path):
                     zipf.write(right_export_path, os.path.join('right', right_export_fn))
 
         logger.info(f"Exported {len(rows)} image pairs to {temp_zip_path}")
-        # 返回 ZIP 文件给客户端
         return send_file(temp_zip_path, as_attachment=True, download_name='exported_images.zip')
 
     except Exception as e:
@@ -316,26 +267,21 @@ def export_images_api():
 
 
 @app.route('/upload', methods=['POST'])
+
 def upload_images():
     """接收左右摄像头图片，保存并推送更新，同时生成标注图片"""
     try:
-        # 从 multipart/form-data 中获取文件
         left_file = request.files.get('left_image')
         right_file = request.files.get('right_image')
-        metadata_str = request.form.get('metadata') # 如果需要处理元数据
+        metadata_str = request.form.get('metadata')
-        comment = request.form.get('comment', '')  # 获取 comment 字段
+        comment = request.form.get('comment', '')
 
         if not left_file or not right_file:
             logger.warning("Received request without required image files.")
             return jsonify({"error": "Missing left_image or right_image"}), 400
 
-        # 读取图片数据
+        nparr_left = np.frombuffer(left_file.read(), np.uint8)
-        left_img_bytes = left_file.read()
+        nparr_right = np.frombuffer(right_file.read(), np.uint8)
-        right_img_bytes = right_file.read()
-
-        # 解码图片用于后续处理 (如显示、保存)
-        nparr_left = np.frombuffer(left_img_bytes, np.uint8)
-        nparr_right = np.frombuffer(right_img_bytes, np.uint8)
         img_left = cv2.imdecode(nparr_left, cv2.IMREAD_COLOR)
         img_right = cv2.imdecode(nparr_right, cv2.IMREAD_COLOR)
 
@@ -343,7 +289,6 @@ def upload_images():
             logger.error("Failed to decode received images.")
             return jsonify({"error": "Could not decode images"}), 400
 
-        # 解析元数据 (如果提供)
         metadata = {}
         if metadata_str:
             try:
@@ -352,60 +297,26 @@ def upload_images():
                 logger.warning(f"Could not parse metadata: {e}")
 
         timestamp_str = str(metadata.get("timestamp", str(int(time.time()))))
-        timestamp_str_safe = timestamp_str.replace(".", "_") # 避免文件名中的点号问题
+        timestamp_str_safe = timestamp_str.replace(".", "_")
 
-        # 生成文件名
         left_filename = f"left_{timestamp_str_safe}.jpg"
         right_filename = f"right_{timestamp_str_safe}.jpg"
-        left_marked_filename = f"left_marked_{timestamp_str_safe}.jpg"  # 标注图片文件名
+        left_marked_filename = f"left_marked_{timestamp_str_safe}.jpg"
-        right_marked_filename = f"right_marked_{timestamp_str_safe}.jpg"  # 标注图片文件名
+        right_marked_filename = f"right_marked_{timestamp_str_safe}.jpg"
 
-        # 保存原图到本地
         left_path = os.path.join(SAVE_PATH_LEFT, left_filename)
         right_path = os.path.join(SAVE_PATH_RIGHT, right_filename)
 
-        # 确保目录存在
         os.makedirs(SAVE_PATH_LEFT, exist_ok=True)
         os.makedirs(SAVE_PATH_RIGHT, exist_ok=True)
-        os.makedirs(SAVE_PATH_LEFT_MARKED, exist_ok=True)  # 创建标注图片目录
+        os.makedirs(SAVE_PATH_LEFT_MARKED, exist_ok=True)
-        os.makedirs(SAVE_PATH_RIGHT_MARKED, exist_ok=True)  # 创建标注图片目录
+        os.makedirs(SAVE_PATH_RIGHT_MARKED, exist_ok=True)
 
         cv2.imwrite(left_path, img_left)
         cv2.imwrite(right_path, img_right)
         logger.info(f"Saved original images: {left_path}, {right_path}")
 
-        # 使用 VisionAPIClient 处理图片并生成标注图片
+        # Debug: 直接原图覆盖
-        left_marked_path = None
-        right_marked_path = None
-        
-        try:
-            # with VisionAPIClient() as client:
-            #     # 处理左图
-            #     left_task_id = client.submit_task(image_id=1, image=img_left)
-            #     # 处理右图
-            #     right_task_id = client.submit_task(image_id=2, image=img_right)
-                
-            #     # 等待任务完成
-            #     client.task_queue.join()
-                
-            #     # 获取处理结果
-            #     left_result = client.get_result(left_task_id)
-            #     right_result = client.get_result(right_task_id)
-                
-            #     # 生成标注图片
-            #     if left_result and left_result.success:
-            #         marked_left_img = draw_detections_on_image(img_left, left_result.detections)
-            #         left_marked_path = os.path.join(SAVE_PATH_LEFT_MARKED, left_marked_filename)
-            #         cv2.imwrite(left_marked_path, marked_left_img)
-            #         logger.info(f"Saved marked left image: {left_marked_path}")
-                
-            #     if right_result and right_result.success:
-            #         marked_right_img = draw_detections_on_image(img_right, right_result.detections)
-            #         right_marked_path = os.path.join(SAVE_PATH_RIGHT_MARKED, right_marked_filename)
-            #         cv2.imwrite(right_marked_path, marked_right_img)
-            #         logger.info(f"Saved marked right image: {right_marked_path}")
-
-            # Debug 直接原图覆盖
         left_marked_path = os.path.join(SAVE_PATH_LEFT_MARKED, left_marked_filename)
         cv2.imwrite(left_marked_path, img_left)
         logger.info(f"Saved marked left image: {left_marked_path}")
@@ -414,11 +325,6 @@ def upload_images():
         cv2.imwrite(right_marked_path, img_right)
         logger.info(f"Saved marked right image: {right_marked_path}")
 
-        except Exception as e:
-            logger.error(f"Error processing images with VisionAPIClient: {e}")
-            # 即使处理失败，也继续保存原图
-
-        # 将图片信息写入数据库，包含标注图片字段
         conn = sqlite3.connect(DATABASE_PATH)
         cursor = conn.cursor()
         cursor.execute('''
@@ -429,17 +335,15 @@ def upload_images():
               right_marked_filename if right_marked_path else None,
               float(timestamp_str), json.dumps(metadata), comment))
         conn.commit()
-        image_id = cursor.lastrowid # 获取新插入记录的 ID
+        image_id = cursor.lastrowid
         conn.close()
         logger.info(f"Recorded image pair (ID: {image_id}) in database.")
 
-        # 将 OpenCV 图像编码为 base64 字符串，用于 WebSocket 传输
         _, left_encoded = cv2.imencode('.jpg', img_left)
         _, right_encoded = cv2.imencode('.jpg', img_right)
         left_b64 = base64.b64encode(left_encoded).decode('utf-8')
         right_b64 = base64.b64encode(right_encoded).decode('utf-8')
 
-        # 更新用于实时显示的全局变量 (如果需要)
         with frame_lock:
             global latest_left_frame, latest_right_frame, latest_timestamp
             latest_left_frame = img_left
@@ -459,32 +363,32 @@ def upload_images():
         return jsonify({"error": str(e)}), 500
 
 @app.route('/api/images/comment', methods=['PUT'])
+@auth.login_required # 保护 API 端点
 def update_image_comment():
     """API: 更新图片的 comment"""
+    logger.info(f"User {auth.current_user()} requested to update image comment.")
     data = request.json
     image_id = data.get('id')
     comment = data.get('comment', '')
-    
     if not image_id:
         return jsonify({"error": "Image ID is required"}), 400
 
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-    # 更新 comment 字段
     cursor.execute("UPDATE images SET comment = ? WHERE id = ?", (comment, image_id))
     conn.commit()
     conn.close()
-    
     return jsonify({"message": f"Comment for image {image_id} updated successfully"})
 
 @app.route('/api/images/position', methods=['PUT'])
+@auth.login_required # 保护 API 端点
 def update_image_position():
     """API: 更新图片的位置编号"""
+    logger.info(f"User {auth.current_user()} requested to update image position.")
     data = request.json
     image_id = data.get('id')
     left_position = data.get('left_position', 0)
     right_position = data.get('right_position', 0)
-    
     if not image_id:
         return jsonify({"error": "Image ID is required"}), 400
 
@@ -492,32 +396,13 @@ def update_image_position():
 
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-
+    cursor.execute("UPDATE images SET left_position = ?, right_position = ? WHERE id = ?", (left_position, right_position, image_id))
-    # --- Removed ALTER TABLE logic as columns are now in init_db ---
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN left_position INTEGER DEFAULT 0
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # 
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN right_position INTEGER DEFAULT 0
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # --- End Removal ---
-    
-    # 更新位置字段
-    cursor.execute("UPDATE images SET left_position = ?, right_position = ? WHERE id = ?", 
-                   (left_position, right_position, image_id))
     conn.commit()
     conn.close()
-    
     return jsonify({"message": f"Position for image {image_id} updated successfully"})
 
 @app.route('/status')
+# @auth.login_required # 通常状态检查接口不需要认证，保持开放
 def status():
     with frame_lock:
         has_frames = latest_left_frame is not None and latest_right_frame is not None
@@ -525,86 +410,44 @@ def status():
     return jsonify({"has_frames": has_frames, "latest_timestamp": timestamp})
 
 @app.route('/api/images/manual-detections', methods=['PUT'])
+@auth.login_required # 保护 API 端点
 def update_manual_detections():
     """API: 更新图片的人工标注检测框结果，支持左右图像分别标注"""
+    # logger.info(f"User {auth.current_user()} requested to update manual detections.")
     data = request.json
     image_id = data.get('id')
-    side = data.get('side', 'left')  # 获取 side 参数，默认为左侧
+    side = data.get('side', 'left')
     detections = data.get('detections')
-    
     if not image_id or detections is None:
         return jsonify({"error": "Image ID and detections are required"}), 400
-    
-    # 验证检测数据格式
     if not isinstance(detections, list):
         return jsonify({"error": "Detections must be a list"}), 400
-    
     for detection in detections:
         if not isinstance(detection, dict):
             return jsonify({"error": "Each detection must be a dictionary"}), 400
-        
         required_keys = ['id', 'label', 'bbox']
         for key in required_keys:
             if key not in detection:
                 return jsonify({"error": f"Missing required key '{key}' in detection"}), 400
-        
-        # 验证 ID
         if not isinstance(detection['id'], int) or detection['id'] not in [1, 2, 3, 4]:
             return jsonify({"error": f"Invalid ID in detection: {detection['id']}"}), 400
-        
-        # 验证标签
         valid_labels = ['caisson', 'soldier', 'gun', 'number']
         if detection['label'] not in valid_labels:
             return jsonify({"error": f"Invalid label in detection: {detection['label']}"}), 400
-        
-        # 验证边界框
         bbox = detection['bbox']
         if not isinstance(bbox, list) or len(bbox) != 4:
             return jsonify({"error": f"Invalid bbox format in detection"}), 400
-        
         for coord in bbox:
             if not isinstance(coord, int) or not (0 <= coord <= 999):
                 return jsonify({"error": f"Invalid bbox coordinate: {coord}"}), 400
 
     conn = sqlite3.connect(DATABASE_PATH)
     cursor = conn.cursor()
-    
     cursor.execute("SELECT id FROM images WHERE id = ?", (image_id,))
     if not cursor.fetchone():
         conn.close()
         return jsonify({"error": "Image not found"}), 404
 
-    # --- Removed ALTER TABLE logic as columns are now in init_db ---
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN manual_detections_left TEXT
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # 
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN manual_detections_right TEXT
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # 
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN is_manual_labeled_left INTEGER DEFAULT 0
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # 
-    # try:
-    #     cursor.execute("""
-    #         ALTER TABLE images ADD COLUMN is_manual_labeled_right INTEGER DEFAULT 0
-    #     """)
-    # except sqlite3.OperationalError:
-    #     pass
-    # --- End Removal ---
-    
-    # 根据 side 参数更新对应的人工标注结果
     if side == 'left':
         cursor.execute("""
             UPDATE images
@@ -621,7 +464,6 @@ def update_manual_detections():
     conn.commit()
     conn.close()
 
-    # 重新生成标注图片
     try:
         regenerate_marked_images(image_id, detections, side)
         return jsonify({"message": f"Manual detections for image {image_id} ({side}) updated successfully and marked images regenerated"})
@@ -639,17 +481,13 @@ def regenerate_marked_images(image_id, detections, side):
     """, (image_id,))
     row = cursor.fetchone()
     conn.close()
-    
     if not row:
         raise Exception("Image not found")
-    
     left_filename, right_filename, left_marked_filename, right_marked_filename, left_position, right_position = row
 
-    # 根据指定的 side 重新生成对应的标注图片
     if side == 'left' and left_marked_filename:
         left_path = os.path.join(SAVE_PATH_LEFT, left_filename)
         left_marked_path = os.path.join(SAVE_PATH_LEFT_MARKED, left_marked_filename)
-        
         if os.path.exists(left_path):
             img_left = cv2.imread(left_path)
             if img_left is not None:
@@ -659,7 +497,6 @@ def regenerate_marked_images(image_id, detections, side):
     elif side == 'right' and right_marked_filename:
         right_path = os.path.join(SAVE_PATH_RIGHT, right_filename)
         right_marked_path = os.path.join(SAVE_PATH_RIGHT_MARKED, right_marked_filename)
-        
         if os.path.exists(right_path):
             img_right = cv2.imread(right_path)
             if img_right is not None:
@@ -667,8 +504,10 @@ def regenerate_marked_images(image_id, detections, side):
                 cv2.imwrite(right_marked_path, marked_right_img)
 
 @app.route('/manual-annotation')
+@auth.login_required # 需要认证才能访问标注页
 def manual_annotation():
     """标注页面"""
+    logger.info(f"User {auth.current_user()} accessed the manual annotation page.")
     return render_template('manual_annotation.html')
 
 @app.route('/view')
@@ -698,7 +537,8 @@ def capture_button(data):
     except Exception as e:
         logger.error(f"Error sending request: {e}")
 
-
 if __name__ == '__main__':
     logger.info(f"Starting Flask-SocketIO server on {FLASK_HOST}:{FLASK_PORT}")
+    os.environ['BASIC_AUTH_USERNAME'] = USERNAME
+    os.environ['BASIC_AUTH_PASSWORD'] = PASSWORD
     socketio.run(app, host=FLASK_HOST, port=FLASK_PORT, debug=False, allow_unsafe_werkzeug=True)