更新后台管理消息列表;

backend/app/routes/glm_routes.py

@@ -1,6 +1,6 @@
 from fastapi import APIRouter, HTTPException, Depends
 from pydantic import BaseModel
-from typing import List, Optional
+from typing import List, Optional, Dict, Any
 import httpx
 import os
 import logging
@@ -23,6 +23,10 @@ class Message(BaseModel):
 class ChatRequest(BaseModel):
     message: str
     conversation_id: Optional[str] = None
+    enhanced_prompt: Optional[str] = None  # 前端生成的完整提示词
+    customer_tags: Optional[List[Dict[str, Any]]] = None  # 客户标签
+    message_history: Optional[List[Dict[str, Any]]] = None  # 企业微信历史消息
+    workflow_context: Optional[Dict[str, Any]] = None  # 工作流上下文
 
 
 class ChatResponse(BaseModel):
@@ -194,44 +198,233 @@ async def update_role_config(
 @router.post("/chat", response_model=ChatResponse)
 async def chat(request: ChatRequest, service: GLMService = Depends(get_glm_service)):
     """处理聊天请求"""
-    # 创建或获取对话历史
+    # 步骤1: 记录请求开始
+    logger.info(
+        f"收到聊天请求: conversation_id={request.conversation_id or 'None'}, "
+        f"message_length={len(request.message)}, "
+        f"message_preview='{request.message[:50]}{'...' if len(request.message) > 50 else ''}'"
+    )
+
+    # 记录增强参数信息
+    has_enhanced_prompt = request.enhanced_prompt is not None
+    has_customer_tags = (
+        request.customer_tags is not None and len(request.customer_tags) > 0
+    )
+    has_message_history = (
+        request.message_history is not None and len(request.message_history) > 0
+    )
+    has_workflow_context = request.workflow_context is not None
+
+    logger.info(
+        f"增强参数状态: enhanced_prompt={has_enhanced_prompt}, "
+        f"customer_tags={has_customer_tags} ({len(request.customer_tags) if has_customer_tags else 0}个标签), "
+        f"message_history={has_message_history} ({len(request.message_history) if has_message_history else 0}条历史), "
+        f"workflow_context={has_workflow_context}"
+    )
+
+    # 记录客户标签摘要
+    if has_customer_tags:
+        tag_categories = {}
+        for tag in request.customer_tags:
+            category = tag.get("TagCategory", "未分类")
+            name = tag.get("TagName", "未命名")
+            if category not in tag_categories:
+                tag_categories[category] = []
+            tag_categories[category].append(name)
+
+        tag_summary = []
+        for category, names in tag_categories.items():
+            tag_summary.append(
+                f"{category}: {', '.join(names[:3])}{'...' if len(names) > 3 else ''}"
+            )
+
+        # 检查是否使用mock数据
+        is_mock_data = False
+        for tag in request.customer_tags:
+            if tag.get("TagName", "").startswith("mock_") or tag.get(
+                "TagCategory", ""
+            ).startswith("mock_"):
+                is_mock_data = True
+                break
+
+        mock_note = " [mock数据]" if is_mock_data else ""
+        logger.info(f"客户标签摘要{mock_note}: {', '.join(tag_summary)}")
+
+    # 记录历史消息摘要
+    if has_message_history:
+        # 按时间排序，获取最近的消息
+        sorted_history = sorted(
+            request.message_history, key=lambda x: x.get("msgtime", ""), reverse=True
+        )[
+            :5
+        ]  # 只显示最近5条
+
+        history_summary = []
+        for i, msg in enumerate(sorted_history):
+            from_user = msg.get("from_user", "未知用户")
+            user_id = (
+                msg.get("user_id")
+                or msg.get("userId")
+                or msg.get("from_user_id")
+                or "无ID"
+            )
+            content = msg.get("text", {}).get("content", "") or msg.get("content", "")
+            content_preview = content[:30] + ("..." if len(content) > 30 else "")
+            history_summary.append(f"{from_user}(ID:{user_id}): '{content_preview}'")
+
+        # 检查是否使用mock数据
+        is_mock_data = False
+        for msg in sorted_history:
+            if msg.get("from_user", "").startswith("mock_") or msg.get(
+                "user_id", ""
+            ).startswith("mock_"):
+                is_mock_data = True
+                break
+
+        mock_note = " [mock数据]" if is_mock_data else ""
+        logger.info(f"历史消息摘要{mock_note}: {', '.join(history_summary)}")
+
+    # 步骤2: 创建或获取对话历史
     if request.conversation_id and request.conversation_id in conversations:
         conversation_history = conversations[request.conversation_id]
+        logger.info(
+            f"使用现有对话: {request.conversation_id}, 历史消息数: {len(conversation_history)}"
+        )
+        # 记录历史消息摘要
+        if conversation_history:
+            last_messages = conversation_history[-3:]  # 显示最近3条消息
+            history_summary = []
+            for i, msg in enumerate(last_messages, 1):
+                role = msg["role"]
+                content_preview = msg["content"][:30] + (
+                    "..." if len(msg["content"]) > 30 else ""
+                )
+                history_summary.append(f"{role}: '{content_preview}'")
+            logger.debug(f"最近历史消息摘要: {', '.join(history_summary)}")
     else:
         conversation_history = []
         request.conversation_id = f"conv_{len(conversations) + 1}"
         conversations[request.conversation_id] = conversation_history
+        logger.info(f"新建对话: {request.conversation_id}")
 
-    # 获取当前角色配置
+    # 步骤3: 构建系统提示词
     try:
-        role = await service.get_current_role()
-        system_prompt = build_system_prompt(role.to_role_config_dict())
-    except Exception as e:
-        logger.error(f"获取角色配置失败: {e}")
-        raise HTTPException(status_code=500, detail=f"获取角色配置失败: {str(e)}")
+        if has_enhanced_prompt:
+            # 使用前端生成的增强提示词
+            system_prompt = request.enhanced_prompt
+            logger.info(f"使用前端增强提示词, 长度: {len(system_prompt)} 字符")
+            logger.debug(
+                f"增强提示词预览: '{system_prompt[:200]}{'...' if len(system_prompt) > 200 else ''}'"
+            )
+        else:
+            # 获取当前角色配置并构建系统提示词
+            role = await service.get_current_role()
+            role_config = role.to_role_config_dict()
+            logger.info(
+                f"获取角色配置: name='{role.name}', "
+                f"技能数: {len(role_config['skills'].split('\\n')) if role_config['skills'] else 0}, "
+                f"限制数: {len(role_config['restrictions'].split('\\n')) if role_config['restrictions'] else 0}"
+            )
 
-    # 构建消息列表
+            system_prompt = build_system_prompt(role_config)
+            logger.debug(f"系统提示词构建完成, 长度: {len(system_prompt)} 字符")
+    except Exception as e:
+        logger.error(
+            f"构建系统提示词失败: {e}, conversation_id={request.conversation_id}"
+        )
+        raise HTTPException(status_code=500, detail=f"构建系统提示词失败: {str(e)}")
+
+    # 步骤4: 构建消息列表
     messages = [{"role": "system", "content": system_prompt}]
 
-    # 添加历史消息
-    for msg in conversation_history[-10:]:  # 保留最近10条历史
+    # 初始化企业微信历史消息变量
+    selected_wework_messages = []
+
+    # 添加企业微信历史消息（如果提供）
+    if has_message_history:
+        logger.info(f"添加企业微信历史消息到上下文: {len(request.message_history)} 条")
+
+        # 将企业微信消息转换为大模型消息格式
+        wework_messages = []
+        for msg in request.message_history:
+            from_user = msg.get("from_user", "未知用户")
+            content = msg.get("text", {}).get("content", "") or msg.get("content", "")
+            msgtime = msg.get("msgtime", "")
+
+            if content:
+                # 确定角色：如果是客户发送的，则为user；否则为assistant
+                # 这里需要根据实际业务逻辑判断，暂时假设外部用户是user
+                role = (
+                    "user"
+                    if "customer" in from_user.lower() or "user" in from_user.lower()
+                    else "assistant"
+                )
+
+                # 格式化消息内容
+                formatted_content = f"[{msgtime}] {from_user}: {content}"
+                wework_messages.append({"role": role, "content": formatted_content})
+
+        # 添加到消息列表（限制数量，避免过长）
+        max_wework_messages = 10
+        selected_wework_messages = wework_messages[
+            -max_wework_messages:
+        ]  # 取最近的消息
+        messages.extend(selected_wework_messages)
+        logger.info(
+            f"已添加 {len(selected_wework_messages)} 条企业微信历史消息到上下文"
+        )
+
+    # 添加与大模型的对话历史
+    history_messages = conversation_history[-10:]  # 保留最近10条历史
+    for msg in history_messages:
         messages.append({"role": msg["role"], "content": msg["content"]})
 
     # 添加当前用户消息
     messages.append({"role": "user", "content": request.message})
     conversation_history.append({"role": "user", "content": request.message})
 
-    # 调用DeepSeek API
+    logger.info(
+        f"构建消息列表完成: 系统消息1条, 企业微信历史{len(selected_wework_messages)}条, "
+        f"对话历史{len(history_messages)}条, 用户消息1条, 总消息数: {len(messages)}"
+    )
+
+    # 记录消息列表摘要
+    if logger.isEnabledFor(logging.DEBUG):
+        for i, msg in enumerate(messages):
+            role = msg["role"]
+            content_preview = msg["content"][:50] + (
+                "..." if len(msg["content"]) > 50 else ""
+            )
+            logger.debug(f"消息{i+1}: {role} - '{content_preview}'")
+
+    # 步骤5: 调用DeepSeek API
     try:
+        logger.info(
+            f"调用DeepSeek API, conversation_id={request.conversation_id}, 总消息数: {len(messages)}"
+        )
         response_text = await call_deepseek_api(messages)
 
+        # 步骤6: 记录API响应
+        logger.info(
+            f"DeepSeek API调用成功, conversation_id={request.conversation_id}, "
+            f"响应长度: {len(response_text)} 字符, "
+            f"响应预览: '{response_text[:100]}{'...' if len(response_text) > 100 else ''}'"
+        )
+
         # 添加助手回复到历史
         conversation_history.append({"role": "assistant", "content": response_text})
 
+        # 步骤7: 返回响应
+        logger.info(
+            f"返回聊天响应: conversation_id={request.conversation_id}, 响应长度: {len(response_text)} 字符"
+        )
         return ChatResponse(
             response=response_text, conversation_id=request.conversation_id
         )
     except Exception as e:
+        logger.error(
+            f"DeepSeek API调用失败: {e}, conversation_id={request.conversation_id}, message_preview='{request.message[:50]}...'"
+        )
         raise HTTPException(status_code=500, detail=str(e))
 
 

backend/app/routes/message_routes.py

@@ -135,6 +135,40 @@ async def get_message_stats(service: MessageService = Depends(get_message_servic
         raise HTTPException(status_code=500, detail=f"获取消息统计失败: {str(e)}")
 
 
+@router.get("/config")
+async def get_message_config():
+    """
+    获取消息服务配置信息
+
+    返回企业微信SDK配置、文件路径等基本信息
+    """
+    try:
+        import os
+        from pathlib import Path
+
+        # 从环境变量获取配置
+        corpid = os.getenv("CORPID", "")
+        secret = os.getenv("WEWORK_SECRET", "")
+
+        # 构建文件路径
+        backend_dir = Path(__file__).parent.parent.parent
+        lib_path = backend_dir / "lib" / "sdk" / "libWeWorkFinanceSdk_C.so"
+        data_dir = backend_dir / "data"
+
+        config = {
+            "corpid": corpid,
+            # "secret": secret[:10] + "..." if secret else "",  # 只显示前10个字符
+            "libPath": str(lib_path),
+            "dataDir": str(data_dir),
+        }
+
+        return {"success": True, "message": "配置获取成功", "data": config}
+
+    except Exception as e:
+        logger.error(f"获取配置信息失败: {e}")
+        raise HTTPException(status_code=500, detail=f"获取配置信息失败: {str(e)}")
+
+
 @router.get("/{msgid}")
 async def get_message_by_id(
     msgid: str, service: MessageService = Depends(get_message_service)
@@ -150,13 +184,3 @@ async def get_message_by_id(
     except Exception as e:
         logger.error(f"查询消息详情失败 (msgid: {msgid}): {e}")
         raise HTTPException(status_code=500, detail=f"查询消息详情失败: {str(e)}")
-
-
-# 应用关闭时的清理
-@router.on_event("shutdown")
-async def shutdown_event():
-    """应用关闭时清理资源"""
-    from app.services.message_service import close_message_service
-
-    close_message_service()
-    logger.info("消息服务已关闭")