From de47c8efe3e6bac40a51ff22c67e3a19c3e0fa19 Mon Sep 17 00:00:00 2001 From: pangkaicheng <924366729@qq.com> Date: Thu, 16 Oct 2025 14:28:08 +0800 Subject: [PATCH] Clear print --- .gitignore | 3 +- app/api/chat_router.py | 103 ------------------ app/core/__pycache__/__init__.cpython-310.pyc | Bin 148 -> 0 bytes app/core/__pycache__/config.cpython-310.pyc | Bin 1864 -> 0 bytes .../data_structure.cpython-310.pyc | Bin 859 -> 0 bytes .../__pycache__/llm_interface.cpython-310.pyc | Bin 2298 -> 0 bytes .../__pycache__/redis_manager.cpython-310.pyc | Bin 3097 -> 0 bytes .../__pycache__/stylist_agent.cpython-310.pyc | Bin 11632 -> 0 bytes .../__pycache__/system_prompt.cpython-310.pyc | Bin 573 -> 0 bytes app/core/__pycache__/utils.cpython-310.pyc | Bin 3400 -> 0 bytes .../vector_database.cpython-310.pyc | Bin 2459 -> 0 bytes app/core/stylist_agent.py | 2 +- 12 files changed, 3 insertions(+), 105 deletions(-) delete mode 100644 app/api/chat_router.py delete mode 100644 app/core/__pycache__/__init__.cpython-310.pyc delete mode 100644 app/core/__pycache__/config.cpython-310.pyc delete mode 100644 app/core/__pycache__/data_structure.cpython-310.pyc delete mode 100644 app/core/__pycache__/llm_interface.cpython-310.pyc delete mode 100644 app/core/__pycache__/redis_manager.cpython-310.pyc delete mode 100644 app/core/__pycache__/stylist_agent.cpython-310.pyc delete mode 100644 app/core/__pycache__/system_prompt.cpython-310.pyc delete mode 100644 app/core/__pycache__/utils.cpython-310.pyc delete mode 100644 app/core/__pycache__/vector_database.cpython-310.pyc diff --git a/.gitignore b/.gitignore index 74c6dfe..a670435 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ .env -.vscode/ \ No newline at end of file +.vscode/ +app/core/__pycache__/ \ No newline at end of file diff --git a/app/api/chat_router.py b/app/api/chat_router.py deleted file mode 100644 index e482c5c..0000000 --- a/app/api/chat_router.py +++ /dev/null @@ -1,103 +0,0 @@ -from fastapi import APIRouter, HTTPException -from pydantic import BaseModel, Field -from typing import List, Dict - -# 导入 ChatbotAgent 类和配置 -# 假设 ChatbotAgent 是单例或在应用启动时创建 -from app.core.chatbot_agent import ChatbotAgent -from app.core.config import settings - -# --- Pydantic Data Models --- -# 用于接收用户消息的请求体 -class ChatRequest(BaseModel): - user_id: str = Field(..., description="Unique identifier for the user.") - user_message: str = Field(..., description="The user's text message.") - -# 用于启动搭配推荐的请求体 -class OutfitStartRequest(BaseModel): - user_id: str = Field(..., description="Unique identifier for the user.") - stylist_name: str = Field("crystal", description="The name of the stylist guide to use (e.g., 'crystal').") - # 用于从已选单品继续搭配，可选 - start_outfit: List[Dict[str, str]] = Field(default_factory=list, description="Optional list of items already selected.") - -# 用于返回 LLM/Agent 的文本回复 -class ChatResponse(BaseModel): - response_text: str = Field(..., description="The chatbot's text response.") - -# 搭配推荐的响应体 (StylistAgent的输出是JSON，这里简化为字符串，实际项目中会返回结构化的JSON) -class OutfitResponse(BaseModel): - summary: str = Field(..., description="The conversation summary used for styling.") - next_item_json: Dict = Field(..., description="The next recommended item in JSON format.") - -# --- Router Setup --- - -router = APIRouter( - prefix="/chat", - tags=["Chatbot & Styling"] -) - -# 在应用启动时实例化 ChatbotAgent，以便在路由中使用同一个实例 -# 注意：在真实的 FastAPI 应用中，我们通常使用依赖注入 (Depends) 来管理实例 -try: - # 假设 ChatbotAgent 的 __init__ 已经包含了所有依赖的初始化 - global_agent = ChatbotAgent() -except Exception as e: - # 如果依赖（如 Redis 或 VectorDB）初始化失败，抛出错误 - print(f"FATAL: ChatbotAgent failed to initialize. Error: {e}") - global_agent = None # 保持 None 状态，路由会抛出 500 - -@router.post("/", response_model=ChatResponse, summary="Process user message and get chatbot response") -def handle_chat_message(request: ChatRequest): - """ - 处理用户的聊天消息，将消息添加到历史记录，并调用 LLM 生成回复。 - """ - if not global_agent: - raise HTTPException(status_code=500, detail="Chatbot agent not initialized.") - - try: - response = global_agent.process_query(request.user_id, request.user_message) - return ChatResponse(response_text=response) - except Exception as e: - print(f"Error processing chat query: {e}") - # 返回一个通用错误信息，而不是内部错误 - raise HTTPException(status_code=500, detail="Internal server error while processing message.") - -@router.post("/outfit/start", summary="Start outfit recommendation based on conversation history") -def start_outfit_recommendation(request: OutfitStartRequest): - """ - 基于用户的对话历史，生成搭配总结，并启动 Stylist Agent 推荐第一个单品。 - - 返回：对话总结和 Stylist Agent 推荐的第一个单品的 JSON。 - """ - if not global_agent: - raise HTTPException(status_code=500, detail="Chatbot agent not initialized.") - - try: - # 1. 获取对话总结 - request_summary = global_agent.get_conversation_summary(request.user_id) - - # 2. 调用 Stylist Agent 运行搭配流程 - # run_styling_process 应该返回 Stylist Agent 的第一个 JSON 输出 (recommend_item) - # 假设 StylistAgent.run_styling_process 返回一个 JSON 字典 - next_item_json = global_agent.stylist_agent.run_styling_process( - request_summary, - request.stylist_name, - request.start_outfit - ) - - return OutfitResponse( - summary=request_summary, - next_item_json=next_item_json - ) - - except Exception as e: - print(f"Error starting outfit recommendation: {e}") - raise HTTPException(status_code=500, detail=f"Failed to start styling process: {e}") - -# (可选) 搭配继续接口：用于处理用户的反馈和继续推荐 -@router.post("/outfit/continue", summary="Continue outfit recommendation with user feedback") -def continue_outfit_recommendation(): - """ - 这是一个占位符，用于处理用户对已推荐单品（如图片）的反馈，并让 Stylist Agent 推荐下一个单品。 - """ - raise HTTPException(status_code=501, 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