mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
afdd805e11
feat: 新增岗位编码字段与校验 fix: 修复批量删除提示、请求缓存、任务状态等逻辑 perf: 优化表格列展示，移除冗余ID列 build: 降级fastapi版本至0.115.2，更新依赖锁文件 docs: 补充部分代码注释与说明
86 lines
2.7 KiB
Python
86 lines
2.7 KiB
Python
from dataclasses import dataclass
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from typing import Any
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from fastapi import Query
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from app.core.base_params import BaseQueryParam, TenantByQueryParam, UserByQueryParam
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class ChatQuerySchema(BaseModel):
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"""WebSocket聊天查询模型"""
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message: str = Field(..., min_length=1, description="消息内容")
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session_id: str | None = Field(None, description="会话ID")
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files: list[dict[str, Any]] | None = Field(None, description="文件信息")
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class ChatSessionCreateSchema(BaseModel):
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"""创建会话模型"""
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title: str = Field(..., min_length=1, max_length=200, description="会话标题")
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@field_validator("title")
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@classmethod
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def validate_title(cls, v: str) -> str:
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v = v.strip()
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if len(v) < 1 or len(v) > 200:
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raise ValueError("会话标题长度必须在1-200个字符之间")
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return v
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class ChatSessionUpdateSchema(BaseModel):
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"""更新会话模型"""
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title: str = Field(..., min_length=1, max_length=200, description="会话标题")
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@field_validator("title")
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@classmethod
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def validate_title(cls, v: str) -> str:
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v = v.strip()
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if len(v) < 1 or len(v) > 200:
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raise ValueError("会话标题长度必须在1-200个字符之间")
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return v
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class ChatSessionMessageSchema(BaseModel):
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"""会话消息模型"""
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id: str = Field(..., description="消息ID")
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role: str = Field(..., description="消息角色")
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content: str = Field(..., description="消息内容")
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created_at: int | None = Field(None, description="创建时间(Unix时间戳)")
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model_config = ConfigDict(from_attributes=True)
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@dataclass
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class ChatSessionQueryParam(BaseQueryParam, UserByQueryParam, TenantByQueryParam):
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"""会话查询参数"""
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title: str | None = Query(None, description="会话标题")
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class AiChatRequestSchema(BaseModel):
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"""AI 对话请求模型（非流式）"""
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message: str = Field(..., min_length=1, description="用户消息内容")
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session_id: str | None = Field(None, description="会话ID，不传则创建新会话")
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@field_validator("message")
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@classmethod
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def validate_message(cls, v: str) -> str:
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v = v.strip()
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if len(v) < 1:
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raise ValueError("用户消息内容不能为空")
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return v
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class AiChatResponseSchema(BaseModel):
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"""AI 对话响应模型（非流式）"""
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response: str = Field(..., description="AI 回复内容")
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session_id: str = Field(..., description="会话ID")
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function_calls: list[dict[str, Any]] | None = Field(None, description="函数调用信息")
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action: dict[str, Any] | None = Field(None, description="建议执行的操作")
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