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- 修改 `api/roi.py` 中的判断逻辑：使用 `is not None` 替代 truthy 检查，确保 `[]` 能正确序列化并存入数据库 - 更新 `config.yaml` 全局默认值为 `working_hours: []`，表示“全天开启”
97 lines
2.4 KiB
YAML
97 lines
2.4 KiB
YAML
# 安保异常行为识别系统 - 核心配置
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# 云端同步配置
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cloud:
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enabled: false # 启用云端同步（云端为主、本地为辅）
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api_url: "https://api.example.com" # 云端API地址
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api_key: "your-api-key" # API密钥
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device_id: "EDGE-001" # 设备唯一标识
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sync_interval: 60 # 配置同步间隔（秒）
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alarm_retry_interval: 60 # 报警重试间隔（秒）
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status_report_interval: 60 # 状态上报间隔（秒）
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max_retries: 3 # 最大重试次数
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# 数据库配置
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database:
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dialect: "sqlite" # sqlite 或 mysql
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host: "localhost"
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port: 3306
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username: "root"
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password: "password"
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name: "security_monitor"
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echo: true # SQL日志输出
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# TensorRT模型配置
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model:
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engine_path: "models/yolo11n.engine"
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onnx_path: "models/yolo11n.onnx"
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pt_model_path: "models/yolo11n.pt"
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imgsz: [640, 640]
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conf_threshold: 0.5
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iou_threshold: 0.45
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device: 0
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batch_size: 8
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half: false
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use_onnx: true
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# RTSP流配置
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stream:
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buffer_size: 2 # 每路摄像头帧缓冲大小
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reconnect_delay: 3.0 # 重连延迟（秒）
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timeout: 10.0 # 连接超时（秒）
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fps_limit: 10.0 # 最大处理FPS
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# 推理队列配置
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inference:
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queue_maxlen: 100 # 检测结果队列最大长度
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event_queue_maxlen: 1000 # 异常事件队列最大长度
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worker_threads: 4 # 处理线程数
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# 告警配置
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alert:
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snapshot_path: "data/alerts"
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cooldown_sec: 300 # 同类型告警冷却时间
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image_quality: 85 # JPEG质量
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# ROI配置
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roi:
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default_types:
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- "polygon"
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- "line"
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max_points: 50 # 多边形最大顶点数
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# 工作时间配置（全局默认，空数组表示全天开启）
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working_hours: []
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# 算法默认参数
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algorithms:
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leave_post:
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threshold_sec: 300 # 离岗超时（5分钟）
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confirm_sec: 10 # 上岗确认时间（10秒）
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return_sec: 30 # 离岗缓冲时间（30秒）
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intrusion:
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check_interval_sec: 1.0 # 检测间隔
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direction_sensitive: false # 方向敏感
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# 日志配置
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logging:
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level: "INFO"
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format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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file: "logs/app.log"
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max_size: "100MB"
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backup_count: 5
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# 监控配置
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monitoring:
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enabled: true
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port: 9090 # Prometheus metrics端口
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path: "/metrics"
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# 大模型配置（预留）
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llm:
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enabled: false
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api_key: "sk-21e61bef09074682b589da3bdbfe07a2"
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base_url: "https://dashscope.aliyuncs.com/compatible-mode/v1"
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model: "qwen3-vl-max"
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timeout: 30
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