chengkai3
21f9839dd6
- 后端实现： - 添加 ai_chat_conversations 和 ai_chat_messages 数据模型 - 创建 AI 问答 API 路由（/api/v1/ai-chat） - 实现对话管理和消息发送服务 - 集成 OpenAI API 进行对话交互 - 支持流式对话历史和上下文管理 - 前端实现： - 创建 ChatGPT 风格的聊天界面（/admin/ai-chat） - 支持新建、选择、删除对话 - 实现消息发送和实时显示 - 使用 Ant Design 组件构建响应式 UI - 系统参数配置： - ai_chat.openai_api_key: OpenAI API 密钥 - ai_chat.model: 使用的 AI 模型（默认 gpt-3.5-turbo） - ai_chat.base_url: API 基础 URL（支持第三方兼容接口） - 数据库迁移： - 002_add_ai_chat.sql: 创建对话和消息表 - 003_add_ai_chat_params.sql: 添加系统参数默认配置 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai>
58 lines
1.2 KiB
Python
58 lines
1.2 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from pydantic import BaseModel, Field
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from .user import UserPublic
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class AiChatMessageSummary(BaseModel):
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id: int
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conversation_id: int
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role: str
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content: str
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created_at: datetime
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class AiChatConversationSummary(BaseModel):
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id: int
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title: str
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user_id: str
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created_at: datetime
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updated_at: datetime
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user: UserPublic | None = None
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message_count: int = 0
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class AiChatConversationDetail(BaseModel):
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id: int
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title: str
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user_id: str
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created_at: datetime
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updated_at: datetime
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user: UserPublic | None = None
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messages: list[AiChatMessageSummary] = []
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class AiChatConversationListResponse(BaseModel):
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items: list[AiChatConversationSummary]
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total: int
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class AiChatConversationCreateRequest(BaseModel):
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title: str = Field(default="新对话", min_length=1, max_length=256)
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class AiChatConversationUpdateRequest(BaseModel):
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title: str = Field(min_length=1, max_length=256)
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class AiChatMessageSendRequest(BaseModel):
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content: str = Field(min_length=1, max_length=20000)
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class AiChatMessageResponse(BaseModel):
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message: AiChatMessageSummary
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reply: AiChatMessageSummary
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