save_load_learned

Html/apps/config.py

@@ -48,4 +48,5 @@ class Config:
     }
 
     ASE_ENGINE_URL = GLOBAL_CONFIG['ASE_ENGINE']['url']
+    ASE_ENGINE_URL_TOKEN = GLOBAL_CONFIG['ASE_ENGINE']['url_token']
     ASE_ENGINE_NAMESPACE = GLOBAL_CONFIG['ASE_ENGINE']['namespace']

Html/apps/services/course_service.py

@@ -1,6 +1,8 @@
 # myapp/services/course_service.py
 import re
-from typing import Dict, List
+import requests
+import json
+from typing import Dict, List, Optional
 from flask import current_app
 from urllib.parse import urlparse
 from datetime import datetime
@@ -450,10 +452,10 @@ def _default_markdowns(lesson_name: str):
 
 ## 阶段一：示例阶段
 ### 步骤A
-请基于“步骤A”的教学目标与材料，生成指导性提示词（尽量结构化，给出评估标准和示例）。
+请基于"步骤A"的教学目标与材料，生成指导性提示词（尽量结构化，给出评估标准和示例）。
 
 ### 步骤B
-请基于“步骤B”的教学目标与材料，生成指导性提示词。
+请基于"步骤B"的教学目标与材料，生成指导性提示词。
 """
 
     score_prompt_md = f"""# {lesson_name}
@@ -463,8 +465,134 @@ def _default_markdowns(lesson_name: str):
 
 ## 阶段一：示例阶段
 ### 步骤A
-对学员在“步骤A”的输出进行评分与文字反馈，分数区间 0-100，并输出 JSON：```{{"score": <int>, "reasons": "<string>", "advices": "<string>"}}```
+对学员在"步骤A"的输出进行评分与文字反馈，分数区间 0-100，并输出 JSON：```{{"score": <int>, "reasons": "<string>", "advices": "<string>"}}```
 ### 步骤B
-同上，对“步骤B”输出进行评分与反馈。
+同上，对"步骤B"输出进行评分与反馈。
 """
     return lesson_md, prompt_md, score_prompt_md
+
+def save_learning_progress(user_uuid: str, chatmanager, user_id: str) -> bool:
+    """
+    保存用户学习进度到MongoDB
+    
+    参数：
+    - user_uuid: 用户UUID
+    - chatmanager: ChatManager实例，包含学习进度数据
+    - user_id: 用户ID
+    
+    返回：
+    - bool: 保存是否成功
+    """
+    try:
+        # 获取MongoDB连接
+        mongo = current_app.extensions["mongo"]
+        
+        # 获取MultiAgents框架中的对话列表
+        dialog_list = get_multiagents_dialog_list(user_id)
+        
+        # 构建学习进度数据
+        progress_data = {
+            "user_uuid": user_uuid,
+            "user_id": user_id,
+            "material_id": chatmanager.material_id,
+            "chapter_name": chatmanager.chapter_name,
+            "lesson_name": chatmanager.lesson_name,
+            "chapter_chain_now": chatmanager.chapter_chain_now,
+            "chat_historys": chatmanager.chat_historys,
+            "scores": chatmanager.scores,
+            "multiagents_dialogs": dialog_list,
+            "updated_at": datetime.now()
+        }
+        
+        # 保存到MongoDB，使用upsert操作（如果存在则更新，不存在则插入）
+        mongo.db.learning_progress.update_one(
+            {
+                "user_uuid": user_uuid,
+                "material_id": chatmanager.material_id,
+                "chapter_name": chatmanager.chapter_name,
+                "lesson_name": chatmanager.lesson_name
+            },
+            {"$set": progress_data},
+            upsert=True
+        )
+        
+        current_app.logger.info(f"学习进度保存成功: user_uuid={user_uuid}, lesson={chatmanager.lesson_name}")
+        return True
+    except Exception as e:
+        current_app.logger.error(f"保存学习进度失败: {str(e)}")
+        return False
+
+def get_multiagents_dialog_list(user_id: str) -> List[Dict]:
+    """
+    从MultiAgents框架获取用户对话列表
+    
+    参数：
+    - user_id: 用户ID
+    
+    返回：
+    - List[Dict]: 对话列表
+    """
+    try:
+        # 从配置中获取ASE引擎URL和token
+        config = current_app.config
+        url_token = config.get("ASE_ENGINE_URL_TOKEN", "")
+        
+        # 构建请求URL
+        base_url = config.get("ASE_ENGINE_URL", "")
+        api_url = f"{base_url}/api/sync/download"
+        
+        # 构建请求参数
+        payload = {
+            "namespace_url": url_token,  # 使用配置中的token作为namespace_url
+            "user_id": user_id
+        }
+        
+        # 发送POST请求
+        response = requests.post(
+            api_url,
+            json=payload,
+            headers={"Content-Type": "application/json"},
+            timeout=10
+        )
+        
+        # 检查响应
+        if response.status_code == 200:
+            return response.json()
+        else:
+            current_app.logger.error(f"获取MultiAgents对话列表失败: HTTP {response.status_code}")
+            return []
+    except Exception as e:
+        current_app.logger.error(f"获取MultiAgents对话列表异常: {str(e)}")
+        return []
+
+def load_learning_progress(user_uuid: str, material_id: str, chapter_name: str, lesson_name: str) -> Optional[Dict]:
+    """
+    加载用户学习进度
+    
+    参数：
+    - user_uuid: 用户UUID
+    - material_id: 课程ID
+    - chapter_name: 章节名
+    - lesson_name: 课时名
+    
+    返回：
+    - Optional[Dict]: 学习进度数据，如果不存在则返回None
+    """
+    try:
+        mongo = current_app.extensions["mongo"]
+        progress = mongo.db.learning_progress.find_one({
+            "user_uuid": user_uuid,
+            "material_id": material_id,
+            "chapter_name": chapter_name,
+            "lesson_name": lesson_name
+        })
+        
+        if progress:
+            # 转换ObjectId为字符串
+            if "_id" in progress:
+                progress["_id"] = str(progress["_id"])
+            return progress
+        return None
+    except Exception as e:
+        current_app.logger.error(f"加载学习进度失败: {str(e)}")
+        return None

Html/apps/sockets/namespaces.py

@@ -7,7 +7,7 @@ from flask_socketio import Namespace, join_room, leave_room, emit
 from ..function_tools import judge
 from ..function_tools import next_chapter
 from ..services.backboard_service import realtime_response
-from ..services.markdown_service import load_full_markdown_file
+from ..services.course_service import load_full_markdown_file, save_learning_progress
 from ..extension_ase.ase_client import HSAEngineClient
 from ..services.user_service import get_or_load_current_user
 
@@ -71,8 +71,32 @@ class AgentNamespace(Namespace):
         chatmanager = user_uuid2chatmanager[user_uuid]
         chatmanager.function_manager.add_function(judge, {'course_id': course_id, 'root_path': f'/home/{user_id}/{course_id}/{chapter_name}/{lesson_name}'})
         chatmanager.function_manager.add_function(next_chapter, {'user_uuid': user_uuid})
-        chatmanager.chat_historys = []
-        chatmanager.scores = []
+        
+        # 尝试加载用户学习进度
+        from ..services.course_service import load_learning_progress
+        progress = load_learning_progress(user_uuid, course_id, chapter_name, lesson_name)
+        need_skip_chapters = 0
+        
+        if progress:
+            # 恢复学习进度数据
+            if 'scores' in progress:
+                # 根据scores的数量确定需要跳过的章节数
+                need_skip_chapters = len(progress['scores'])
+                chatmanager.scores = progress['scores']
+                print(f"恢复用户学习进度: {user_uuid}, 已完成 {need_skip_chapters} 个章节")
+            
+            # 恢复聊天历史
+            if 'chat_historys' in progress:
+                chatmanager.chat_historys = progress['chat_historys']
+            else:
+                chatmanager.chat_historys = []
+            
+            # 恢复当前章节链
+            if 'chapter_chain_now' in progress:
+                chatmanager.chapter_chain_now = progress['chapter_chain_now']
+        else:
+            chatmanager.chat_historys = []
+            chatmanager.scores = []
 
         fmd,fmdp,fsp = load_full_markdown_file(course_id, chapter_name, lesson_name)
         user_uuid2ase_client[user_uuid] = HSAEngineClient(current_app.config["ASE_ENGINE_URL"], current_app.config["ASE_ENGINE_NAMESPACE"],id=user_id, chatmanager = chatmanager)
@@ -80,6 +104,10 @@ class AgentNamespace(Namespace):
         backboard_manager.add_backboard(user_uuid, user_id, course_id, lesson_name, root_path=f'/home/{user_id}/{course_id}/{chapter_name}/{lesson_name}')
         chatmanager.bb = backboard_manager.get_backboard(user_uuid)
         chatmanager.next_chapter()
+        
+        # 如果有保存的进度，需要跳过已经完成的章节
+        for _ in range(need_skip_chapters):
+            chatmanager.next_chapter()
         self.chatmanager = chatmanager
         self.ase_client = user_uuid2ase_client[user_uuid]
         user_uuid2ase_client[user_uuid].register_on_connect_entry(
@@ -221,7 +249,7 @@ class AgentNamespace(Namespace):
         if len(chatmanager.scores) >= chatmanager.chapter_chain_now:
             chatmanager.scores[chatmanager.chapter_chain_now - 1] = data.get('data', None)
         else: chatmanager.scores.append(data.get('data', None))
-        user.set_course_progress(chatmanager.chat_historys, chatmanager.scores, chatmanager.material_id, chatmanager.chapter_name, chatmanager.lesson_name)
+        user.set_course_progress(chatmanager.chat_historys, chatmanager.scores, chatmanager.course_id, chatmanager.chapter_name, chatmanager.lesson_name)
         chatmanager.load_next_chapter()
         time.sleep(0.5)
         chatmanager.ase_client.send_text("chapter-start", "")
@@ -241,10 +269,32 @@ class AgentNamespace(Namespace):
 
 
     def on_disconnect(self,data):
+        print(f'AgentNamespace client disconnected, session user_uuid: {session.get("user_uuid", "unknown")}')
         ex = current_app.extensions
         uuid = session.get('user_uuid')
-        user_uuid2chatmanager = ex["user_uuid2chatmanager"]
-        user_uuid2chatmanager[uuid].disconnect(uuid)
+        user_uuid2chatmanager = ex.get("user_uuid2chatmanager", {})
+        
+        # 保存学习进度到MongoDB
+        try:
+            # 获取用户ID
+            uuid2username = ex.get("uuid2username", {})
+            user_id = uuid2username.get(uuid, "unknown")
+            
+            # 调用保存学习进度功能
+            chatmanager = user_uuid2chatmanager.get(uuid)
+            if chatmanager:
+                save_result = save_learning_progress(uuid, chatmanager, user_id)
+                print(f"保存学习进度结果: {save_result}, user_uuid={uuid}")
+        except Exception as e:
+            print(f"保存学习进度时发生异常: {str(e)}")
+        
+        # 执行原有的断开连接逻辑
+        if uuid in user_uuid2chatmanager:
+            user_uuid2chatmanager[uuid].disconnect(uuid)
+        
+        # 离开房间
+        if uuid:
+            leave_room(uuid, namespace='/agent')
 
         print("VSCode client disconnected")
         print("Disconnect reason:"+str(data))

Html/apps/static/js/chatbox.js

@@ -105,29 +105,7 @@ document.addEventListener('DOMContentLoaded', function () {
                 document.getElementById('chatbox').appendChild(requestMessage);
                 document.getElementById('chatbox').scrollTop = document.getElementById('chatbox').scrollHeight;
             }
-            // for (let i = 0; i < data.length; i++) {
-            //     const element = data[i]
-            //     const requestMessage = document.createElement('div');
-            //     requestMessage.className = 'chat-message server-message';
-            //     const approveButton = document.createElement('button');
-            //     approveButton.innerText = '批准';
-            //     approveButton.data = element;
-            //     approveButton.style.width = '100%';
-            //     approveButton.style.borderRadius = '4px';
-            //     approveButton.onclick = function(event) {
-            //         console.log(element)
-            //         socket.emit('message', JSON.stringify({type:'function', data:element}));
-            //         event.currentTarget.disabled = true;
-            //         event.currentTarget.style.backgroundColor = 'gray';
-            //         event.currentTarget.style.color = 'white'; // 可选：设置文字颜色为白色，以便更清晰地显示
-            //         event.currentTarget.style.border = 'none'; // 可选：去掉边框
-            //     };
-            //     // 将按钮添加到消息气泡中
-            //     requestMessage.innerHTML = `<b>Function:</b> ${element.name}(${JSON.stringify(element.arguments)})<br>`;
-            //     requestMessage.appendChild(approveButton);
-            //     document.getElementById('chatbox').appendChild(requestMessage);
-            //     document.getElementById('chatbox').scrollTop = document.getElementById('chatbox').scrollHeight;
-            // }
+
         } catch (error) {
             console.log(error)
         }
@@ -250,124 +228,9 @@ function sendMessage() {
     document.getElementById('chatbox').scrollTop = document.getElementById('chatbox').scrollHeight;
 }
 
-// let voice_stream = null;
-// let audio_chunks = [];
-// let isRecording = false;
-// let recordingInterval = null;
-// //鼠标点击终止事件
-// function handleMouseClick(event) {
-//     event.stopPropagation();
-//     stopRecording();
-// }
-// //发送语音
-// const startAudioRecording = async () => {
-//   try {
-//     const stream = await navigator.mediaDevices.getUserMedia({ 
-//       audio: {
-//         sampleRate: 16000,
-//         channelCount: 1,
-//         echoCancellation: true,
-//         noiseSuppression: true
-//       }
-//     });
-//     const mediaRecorder = new MediaRecorder(stream);
-//     const audioContext = new AudioContext({
-//       sampleRate: 16000
-//     });
-    
-//     // Load the AudioWorklet
-//     await audioContext.audioWorklet.addModule('/static/js/audio-processor.js');
-    
-//     const source = audioContext.createMediaStreamSource(stream);
-//     const workletNode = new AudioWorkletNode(audioContext, 'audio-processor');
-//     let audioChunks = [];
-    
-//     workletNode.port.onmessage = (e) => {
-//       audioChunks.push(new Float32Array(e.data));
-      
-//       if (audioChunks.length >= 16) {
-//         // 合并所有音频块
-//         const totalLength = audioChunks.reduce((acc, chunk) => acc + chunk.length, 0);
-//         const mergedData = new Float32Array(totalLength);
-//         let offset = 0;
-//         for (const chunk of audioChunks) {
-//           mergedData.set(chunk, offset);
-//           offset += chunk.length;
-//         }
-        
-//         const audioMessage = {
-//           id: window.data.user_uuid,
-//           type: 'audio',
-//           data: mergedData,
-//           sampleRate: 16000,
-//           timestamp: Date.now()
-//         };
-//         socket.emit('voice', audioMessage);
-//         console.log("voice sended")
-//         audioChunks = [];
-//       }
-//     };
-    
-//     source.connect(workletNode);
-//     workletNode.connect(audioContext.destination);
-    
-//     mediaRecorder.value = {
-//       stop: () => {
-//         source.disconnect();
-//         workletNode.disconnect();
-//         stream.getTracks().forEach(track => track.stop());
-//         audioContext.close();
-//       }
-//     }
-    
-//     isRecording.value = true;
-//   } catch (error) {
-//     console.error('Error starting audio recording:', error);
-//   }
-// };
-// function sendVoiceMessage() {
-//     startAudioRecording()
-//     //变换录音中图标
-//     document.getElementById('recordIcon').className = 'bi bi-record-circle';
-//     document.addEventListener('click', handleMouseClick);
-// }
 
-// //停止录音
-// function stopRecording() {
-//     if (!isRecording) return;
-//     isRecording = false;
-//     //取消监听
-//     document.removeEventListener('click', handleMouseClick);
-//     //取消定时器
-//     if (recordingInterval) {
-//         clearInterval(recordingInterval);
-//         recordingInterval = null;
-//     }
-//     //变换图标
-//     document.getElementById('recordIcon').className = 'bi bi-mic';
-//     //发送剩下的数据
-//     if (audio_chunks.length > 0) {
-//         const merged_data = new Uint8Array(audio_chunks.reduce((acc, chunk) => acc + chunk.length, 0));
-//         let offset = 0;
-//         for (const chunk of audio_chunks) {
-//             merged_data.set(new Uint8Array(chunk), offset);
-//             offset += chunk.length;
-//         }
-//         socket.emit('VoiceMessage', merged_data, { binary: true });
-//         audio_chunks = [];
-//     }
-//     overlay.style.display = 'none';
-//     //关闭音频流
-//     if (voice_stream) {
-//         voice_stream.stop_stream();
-//         voice_stream.close();
-//         voice_stream = null;
-//     }
-//     if (p) {
-//         p.terminate();
-//         p = null;
-//     }
-// }
+
+
 
 
 //语音这一块//