Files
FastapiAdmin/backend/app/plugin/module_ai/chat_message/schema.py
T
zhangtao aad10384d4 refactor(ai): 重构AI模块目录结构并优化代码
将AI模块从module_application迁移到module_ai目录
新增聊天会话和消息的CRUD、服务和控制器
实现WebSocket聊天接口和前端组件
优化代码结构和性能,修复已知问题
2026-02-15 01:24:38 +08:00

57 lines
2.0 KiB
Python

from dataclasses import dataclass
from fastapi import Query
from pydantic import BaseModel, ConfigDict, Field
from app.common.enums import QueueEnum
from app.core.base_schema import BaseSchema
class ChatMessageCreateSchema(BaseModel):
"""新增聊天消息"""
session_id: int = Field(..., description="会话ID")
type: str = Field(..., description="消息类型: user/assistant")
content: str = Field(..., description="消息内容")
timestamp: int = Field(..., description="时间戳")
files: list[dict] | None = Field(None, description="关联的文件信息")
class ChatMessageUpdateSchema(BaseModel):
"""更新聊天消息"""
session_id: int | None = Field(None, description="会话ID")
type: str | None = Field(None, description="消息类型: user/assistant")
content: str | None = Field(None, description="消息内容")
timestamp: int | None = Field(None, description="时间戳")
files: list[dict] | None = Field(None, description="关联的文件信息")
class ChatMessageOutSchema(ChatMessageCreateSchema, BaseSchema):
"""聊天消息响应模型"""
model_config = ConfigDict(from_attributes=True)
@dataclass
class ChatMessageQueryParam:
"""聊天消息查询参数"""
def __init__(
self,
session_id: int | None = Query(None, description="会话ID"),
type: str | None = Query(None, description="消息类型"),
content: str | None = Query(None, description="消息内容"),
created_time: list[str] | None = Query(
None,
description="创建时间范围",
examples=["2025-01-01 00:00:00", "2025-12-31 23:59:59"],
),
) -> None:
self.session_id = (QueueEnum.eq.value, session_id) if session_id else None
self.type = (QueueEnum.eq.value, type) if type else None
self.content = (QueueEnum.like.value, f"%{content}%") if content else None
if created_time and len(created_time) == 2:
self.created_time = (QueueEnum.between.value, (created_time[0], created_time[1]))