16337
35386b8e6e
- 新增3张通知路由表模型（notify_area, camera_area_binding, area_person_binding） - 新增VLM复核服务，通过qwen3-vl-flash对告警截图二次确认 - 新增企微通知服务，告警确认后推送文本卡片给责任人 - 新增通知调度服务，编排VLM复核→查表路由→企微推送流水线 - 新增企微回调接口，支持手动结单/确认处理/标记误报 - 新增通知管理API，区域/摄像头绑定/人员绑定CRUD - 告警上报主流程（edge_compat + yudao_aiot_alarm）接入异步通知 - 扩展配置项支持VLM和企微环境变量 - 添加openai==1.68.0依赖（通过DashScope兼容端点调用）
176 lines
5.6 KiB
Python
176 lines
5.6 KiB
Python
"""
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配置管理
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"""
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import os
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from pathlib import Path
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from typing import Optional
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from dataclasses import dataclass
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from pydantic import BaseModel
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@dataclass
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class DatabaseConfig:
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"""数据库配置"""
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url: str = "sqlite:///./data/alert_platform.db"
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@dataclass
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class COSConfig:
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"""腾讯云 COS 存储配置（通过 CVM 角色认证，无需密钥）"""
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region: str = "ap-beijing"
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bucket: str = "" # 格式: bucketname-appid
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upload_prefix: str = "alerts" # 对象 Key 前缀
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presign_expire: int = 1800 # 预签名URL有效期（秒），默认30分钟
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enabled: bool = False # 是否启用 COS
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@dataclass
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class AppConfig:
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"""应用配置"""
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host: str = "0.0.0.0"
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port: int = 8000
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debug: bool = True
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dev_mode: bool = True # 开发模式：跳过认证验证，返回超级管理员权限
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@dataclass
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class AIModelConfig:
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"""AI 模型配置"""
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endpoint: str = ""
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api_key: str = ""
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@dataclass
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class VLMConfig:
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"""VLM 视觉语言模型配置"""
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api_key: str = ""
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base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
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model: str = "qwen3-vl-flash-2026-01-22"
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timeout: int = 10
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enabled: bool = False
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enable_thinking: bool = False
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@dataclass
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class WeChatConfig:
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"""企微通知配置"""
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corp_id: str = ""
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agent_id: str = ""
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secret: str = ""
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token: str = ""
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encoding_aes_key: str = ""
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enabled: bool = False
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@dataclass
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class RedisConfig:
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"""Redis 配置"""
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host: str = "localhost"
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port: int = 6379
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password: str = ""
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db: int = 0
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max_connections: int = 50
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decode_responses: bool = True
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enabled: bool = True
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@dataclass
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class CameraNameConfig:
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"""摄像头名称格式化配置"""
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# WVP API基础URL
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wvp_api_base: str = "http://localhost:18080"
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# 显示格式模板（支持变量：{camera_code}, {name}, {stream}）
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# 可选格式：
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# - "{name}" - 仅名称（推荐，告警列表使用）
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# - "{camera_code} {name}/{stream}" - cam_xxx 名称/流id（完整格式）
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# - "{name}/{stream}" - 名称/流id
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# - "{camera_code}" - 仅code
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display_format: str = "{name}"
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# 名称字段优先级（从高到低）
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# 从StreamProxy对象中提取名称时的字段优先级
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# 注意：gb_name 可能包含 "/" 后缀，会自动去除
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name_field_priority: list = None
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# 查询超时（秒）
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query_timeout: int = 15
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def __post_init__(self):
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if self.name_field_priority is None:
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# 默认优先级：gb_name > app > stream
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self.name_field_priority = ["gbName", "app", "stream"]
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class Settings(BaseModel):
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"""全局配置"""
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database: DatabaseConfig = DatabaseConfig()
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cos: COSConfig = COSConfig()
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app: AppConfig = AppConfig()
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ai_model: AIModelConfig = AIModelConfig()
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vlm: VLMConfig = VLMConfig()
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wechat: WeChatConfig = WeChatConfig()
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redis: RedisConfig = RedisConfig()
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camera_name: CameraNameConfig = CameraNameConfig()
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def load_settings() -> Settings:
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"""从环境变量加载配置"""
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from dotenv import load_dotenv
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load_dotenv()
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return Settings(
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database=DatabaseConfig(
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url=os.getenv("DATABASE_URL", "sqlite:///./data/alert_platform.db"),
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),
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cos=COSConfig(
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region=os.getenv("COS_REGION", "ap-beijing"),
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bucket=os.getenv("COS_BUCKET", ""),
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upload_prefix=os.getenv("COS_UPLOAD_PREFIX", "alerts"),
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presign_expire=int(os.getenv("COS_PRESIGN_EXPIRE", "1800")),
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enabled=os.getenv("COS_ENABLED", "false").lower() == "true",
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),
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app=AppConfig(
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host=os.getenv("APP_HOST", "0.0.0.0"),
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port=int(os.getenv("APP_PORT", "8000")),
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debug=os.getenv("DEBUG", "true").lower() == "true",
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dev_mode=os.getenv("DEV_MODE", "true").lower() == "true",
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),
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ai_model=AIModelConfig(
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endpoint=os.getenv("AI_MODEL_ENDPOINT", ""),
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api_key=os.getenv("AI_MODEL_API_KEY", ""),
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),
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vlm=VLMConfig(
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api_key=os.getenv("DASHSCOPE_API_KEY", ""),
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base_url=os.getenv("VLM_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1"),
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model=os.getenv("VLM_MODEL", "qwen3-vl-flash-2026-01-22"),
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timeout=int(os.getenv("VLM_TIMEOUT", "10")),
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enabled=os.getenv("VLM_ENABLED", "false").lower() == "true",
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enable_thinking=os.getenv("VLM_ENABLE_THINKING", "false").lower() == "true",
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),
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wechat=WeChatConfig(
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corp_id=os.getenv("WECHAT_CORP_ID", ""),
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agent_id=os.getenv("WECHAT_AGENT_ID", ""),
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secret=os.getenv("WECHAT_SECRET", ""),
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token=os.getenv("WECHAT_TOKEN", ""),
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encoding_aes_key=os.getenv("WECHAT_ENCODING_AES_KEY", ""),
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enabled=os.getenv("WECHAT_ENABLED", "false").lower() == "true",
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),
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redis=RedisConfig(
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host=os.getenv("REDIS_HOST", "localhost"),
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port=int(os.getenv("REDIS_PORT", "6379")),
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password=os.getenv("REDIS_PASSWORD", ""),
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db=int(os.getenv("REDIS_DB", "0")),
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max_connections=int(os.getenv("REDIS_MAX_CONNECTIONS", "50")),
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enabled=os.getenv("REDIS_ENABLED", "true").lower() == "true",
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),
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camera_name=CameraNameConfig(
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wvp_api_base=os.getenv("WVP_API_BASE", "http://localhost:18080"),
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display_format=os.getenv("CAMERA_NAME_FORMAT", "{name}"),
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query_timeout=int(os.getenv("CAMERA_QUERY_TIMEOUT", "15")),
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),
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)
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settings = load_settings()
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