Files
iot-device-management-service/app/config.py
16337 6cbf89a38b feat: 两步卡片状态机 + 安保工单对接 + 先到先得结单
- 新增 work_order_client.py:SHA256签名的工单API客户端(创建/自动结单)
- 企微卡片改为两步交互:确认接单→[已处理完成/标记误报]→终态
- 告警通知后自动创建工单,orderId存入alarm_event_ext
- 边缘端resolve支持先到先得:终态不可被覆盖
- 边缘端resolve后异步触发工单自动结单+卡片终态更新
- 新增WorkOrderConfig配置项

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:34:54 +08:00

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"""
配置管理
"""
import os
from pathlib import Path
from typing import Optional
from dataclasses import dataclass
from pydantic import BaseModel
@dataclass
class DatabaseConfig:
"""数据库配置"""
url: str = "sqlite:///./data/alert_platform.db"
@dataclass
class COSConfig:
"""腾讯云 COS 存储配置(通过 CVM 角色认证,无需密钥)"""
region: str = "ap-beijing"
bucket: str = "" # 格式: bucketname-appid
upload_prefix: str = "alerts" # 对象 Key 前缀
presign_expire: int = 1800 # 预签名URL有效期默认30分钟
enabled: bool = False # 是否启用 COS
@dataclass
class AppConfig:
"""应用配置"""
host: str = "0.0.0.0"
port: int = 8000
debug: bool = True
dev_mode: bool = True # 开发模式:跳过认证验证,返回超级管理员权限
@dataclass
class AIModelConfig:
"""AI 模型配置"""
endpoint: str = ""
api_key: str = ""
@dataclass
class VLMConfig:
"""VLM 视觉语言模型配置"""
api_key: str = ""
base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
model: str = "qwen3-vl-flash-2026-01-22"
timeout: int = 10
enabled: bool = False
enable_thinking: bool = False
@dataclass
class WeChatConfig:
"""企微通知配置"""
corp_id: str = ""
agent_id: str = ""
secret: str = ""
token: str = ""
encoding_aes_key: str = ""
enabled: bool = False
test_uids: str = "" # 演示模式逗号分隔的企微userid如 "zhangsan,lisi"
service_base_url: str = "" # 公网地址,如 https://vsp.viewshanghai.com
group_chat_id: str = "" # 告警群聊ID通过企微API创建或手动指定
@dataclass
class AgentConfig:
"""交互Agent配置"""
llm_api_key: str = ""
llm_base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
llm_model: str = "qwen-plus"
llm_timeout: int = 15
enabled: bool = False
@dataclass
class WorkOrderConfig:
"""安保工单开放接口配置"""
base_url: str = "" # 工单系统地址,如 http://aiot-platform.viewsh.com:48080
app_id: str = "" # 应用ID
app_secret: str = "" # 应用密钥
timeout: int = 10 # 请求超时(秒)
enabled: bool = False
@dataclass
class RedisConfig:
"""Redis 配置"""
host: str = "localhost"
port: int = 6379
password: str = ""
db: int = 0
max_connections: int = 50
decode_responses: bool = True
enabled: bool = True
@dataclass
class CameraNameConfig:
"""摄像头名称格式化配置"""
# WVP API基础URL
wvp_api_base: str = "http://localhost:18080"
# 显示格式模板(支持变量:{camera_code}, {name}, {stream}
# 可选格式:
# - "{name}" - 仅名称(推荐,告警列表使用)
# - "{camera_code} {name}/{stream}" - cam_xxx 名称/流id完整格式
# - "{name}/{stream}" - 名称/流id
# - "{camera_code}" - 仅code
display_format: str = "{name}"
# 名称字段优先级(从高到低)
# 从StreamProxy对象中提取名称时的字段优先级
# 注意gb_name 可能包含 "/" 后缀,会自动去除
name_field_priority: list = None
# 查询超时(秒)
query_timeout: int = 15
def __post_init__(self):
if self.name_field_priority is None:
# 默认优先级gb_name > app > stream
self.name_field_priority = ["gbName", "app", "stream"]
class Settings(BaseModel):
"""全局配置"""
database: DatabaseConfig = DatabaseConfig()
cos: COSConfig = COSConfig()
app: AppConfig = AppConfig()
ai_model: AIModelConfig = AIModelConfig()
vlm: VLMConfig = VLMConfig()
wechat: WeChatConfig = WeChatConfig()
agent: AgentConfig = AgentConfig()
work_order: WorkOrderConfig = WorkOrderConfig()
redis: RedisConfig = RedisConfig()
camera_name: CameraNameConfig = CameraNameConfig()
def load_settings() -> Settings:
"""从环境变量加载配置"""
from dotenv import load_dotenv
load_dotenv()
return Settings(
database=DatabaseConfig(
url=os.getenv("DATABASE_URL", "sqlite:///./data/alert_platform.db"),
),
cos=COSConfig(
region=os.getenv("COS_REGION", "ap-beijing"),
bucket=os.getenv("COS_BUCKET", ""),
upload_prefix=os.getenv("COS_UPLOAD_PREFIX", "alerts"),
presign_expire=int(os.getenv("COS_PRESIGN_EXPIRE", "1800")),
enabled=os.getenv("COS_ENABLED", "false").lower() == "true",
),
app=AppConfig(
host=os.getenv("APP_HOST", "0.0.0.0"),
port=int(os.getenv("APP_PORT", "8000")),
debug=os.getenv("DEBUG", "true").lower() == "true",
dev_mode=os.getenv("DEV_MODE", "true").lower() == "true",
),
ai_model=AIModelConfig(
endpoint=os.getenv("AI_MODEL_ENDPOINT", ""),
api_key=os.getenv("AI_MODEL_API_KEY", ""),
),
vlm=VLMConfig(
api_key=os.getenv("DASHSCOPE_API_KEY", ""),
base_url=os.getenv("VLM_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1"),
model=os.getenv("VLM_MODEL", "qwen3-vl-flash-2026-01-22"),
timeout=int(os.getenv("VLM_TIMEOUT", "10")),
enabled=os.getenv("VLM_ENABLED", "false").lower() == "true",
enable_thinking=os.getenv("VLM_ENABLE_THINKING", "false").lower() == "true",
),
wechat=WeChatConfig(
corp_id=os.getenv("WECHAT_CORP_ID", ""),
agent_id=os.getenv("WECHAT_AGENT_ID", ""),
secret=os.getenv("WECHAT_SECRET", ""),
token=os.getenv("WECHAT_TOKEN", ""),
encoding_aes_key=os.getenv("WECHAT_ENCODING_AES_KEY", ""),
enabled=os.getenv("WECHAT_ENABLED", "false").lower() == "true",
test_uids=os.getenv("WECHAT_TEST_UIDS", ""),
service_base_url=os.getenv("SERVICE_BASE_URL", ""),
group_chat_id=os.getenv("WECHAT_GROUP_CHAT_ID", ""),
),
agent=AgentConfig(
llm_api_key=os.getenv("DASHSCOPE_API_KEY", ""),
llm_base_url=os.getenv("AGENT_LLM_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1"),
llm_model=os.getenv("AGENT_LLM_MODEL", "qwen-plus"),
llm_timeout=int(os.getenv("AGENT_LLM_TIMEOUT", "15")),
enabled=os.getenv("AGENT_ENABLED", "false").lower() == "true",
),
work_order=WorkOrderConfig(
base_url=os.getenv("WORK_ORDER_BASE_URL", ""),
app_id=os.getenv("WORK_ORDER_APP_ID", ""),
app_secret=os.getenv("WORK_ORDER_APP_SECRET", ""),
timeout=int(os.getenv("WORK_ORDER_TIMEOUT", "10")),
enabled=os.getenv("WORK_ORDER_ENABLED", "false").lower() == "true",
),
redis=RedisConfig(
host=os.getenv("REDIS_HOST", "localhost"),
port=int(os.getenv("REDIS_PORT", "6379")),
password=os.getenv("REDIS_PASSWORD", ""),
db=int(os.getenv("REDIS_DB", "0")),
max_connections=int(os.getenv("REDIS_MAX_CONNECTIONS", "50")),
enabled=os.getenv("REDIS_ENABLED", "true").lower() == "true",
),
camera_name=CameraNameConfig(
wvp_api_base=os.getenv("WVP_API_BASE", "http://localhost:18080"),
display_format=os.getenv("CAMERA_NAME_FORMAT", "{name}"),
query_timeout=int(os.getenv("CAMERA_QUERY_TIMEOUT", "15")),
),
)
settings = load_settings()