初始化

schema/device_schema.py

@@ -0,0 +1,51 @@
+import hashlib
+from datetime import datetime
+from typing import Optional, List, Dict
+
+from pydantic import BaseModel, Field
+
+
+# ------------------------------
+# 请求模型（前端传参校验）
+# ------------------------------
+class DeviceCreateRequest(BaseModel):
+    """设备流信息创建请求模型"""
+    ip: Optional[str] = Field(..., max_length=100, description="设备IP地址")
+    hostname: Optional[str] = Field(None, max_length=100, description="设备别名")
+    params: Optional[Dict] = Field(None, description="设备详细信息")
+
+
+def md5_encrypt(text: str) -> str:
+    """对字符串进行MD5加密"""
+    if not text:
+        return ""
+    md5_hash = hashlib.md5()
+    md5_hash.update(text.encode('utf-8'))
+    return md5_hash.hexdigest()
+
+
+# ------------------------------
+# 响应模型（后端返回设备数据）
+# ------------------------------
+class DeviceResponse(BaseModel):
+    """设备流信息响应模型（字段与表结构完全对齐）"""
+    id: int = Field(..., description="设备ID")
+    hostname: Optional[str] = Field(None, max_length=100, description="设备别名")
+    rtmp_push_url: Optional[str] = Field(None, description="需要推送的RTMP地址")
+    live_webrtc_url: Optional[str] = Field(None, description="直播的Webrtc地址")
+    detection_webrtc_url: Optional[str] = Field(None, description="检测的Webrtc地址")
+    device_online_status: int = Field(..., description="设备在线状态（1-在线、0-离线）")
+    device_type: Optional[str] = Field(None, description="设备类型")
+    alarm_count: int = Field(..., description="报警次数")
+    params: Optional[str] = Field(None, description="设备详细信息")
+    created_at: datetime = Field(..., description="记录创建时间")
+    updated_at: datetime = Field(..., description="记录更新时间")
+
+    # 支持从数据库查询结果转换
+    model_config = {"from_attributes": True}
+
+
+class DeviceListResponse(BaseModel):
+    """设备流信息列表响应模型"""
+    total: int = Field(..., description="设备总数")
+    devices: List[DeviceResponse] = Field(..., description="设备列表")

schema/response_schema.py

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+from typing import Optional, Any
+
+from pydantic import BaseModel, Field
+
+
+class APIResponse(BaseModel):
+    """统一 API 响应模型（所有接口必返此格式）"""
+    code: int = Field(..., description="状态码：200=成功、4xx=客户端错误、5xx=服务端错误")
+    message: str = Field(..., description="响应信息：成功/错误描述")
+    data: Optional[Any] = Field(None, description="响应数据：成功时返回、错误时为 None")
+
+    # Pydantic V2 配置（支持从 ORM 对象转换）
+    model_config = {"from_attributes": True}

schema/user_schema.py

@@ -0,0 +1,32 @@
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+
+# ------------------------------
+# 请求模型（前端传参校验）
+# ------------------------------
+class UserRegisterRequest(BaseModel):
+    """用户注册请求模型"""
+    username: str = Field(..., min_length=3, max_length=50, description="用户名（3-50字符）")
+    password: str = Field(..., min_length=6, max_length=100, description="密码（6-100字符）")
+
+
+class UserLoginRequest(BaseModel):
+    """用户登录请求模型"""
+    username: str = Field(..., description="用户名")
+    password: str = Field(..., description="密码")
+
+
+# ------------------------------
+# 响应模型（后端返回用户数据）
+# ------------------------------
+class UserResponse(BaseModel):
+    """用户信息响应模型（隐藏密码等敏感字段）"""
+    id: int = Field(..., description="用户ID")
+    username: str = Field(..., description="用户名")
+    created_at: datetime = Field(..., description="创建时间")
+    updated_at: datetime = Field(..., description="更新时间")
+
+    # Pydantic V2 配置（支持从数据库查询结果转换）
+    model_config = {"from_attributes": True}