调整course_service 文件长度

Html/apps/services/course_services/learning_progess_process.py

@@ -0,0 +1,197 @@
+# myapp/services/course_service.py
+import re
+import requests
+import json
+from typing import Dict, List, Optional
+from flask import current_app
+from urllib.parse import urlparse
+from datetime import datetime
+from bson import ObjectId
+
+from services.cos_service import upload_file, delete_file
+
+from models.material import Material
+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)
+        his_data = dialog_list['data']
+        # 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": his_data,
+            "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：
+    - Dict[List]: 对话列表(key 为 History database)
+    """
+    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
+
+
+def upload_learning_progress_to_cloud(progress: Dict) -> Dict:
+    """
+    将学习进度上传到云服务
+    
+    参数：
+    - progress: 学习进度数据字典{'databases':{}, 'global_databases':{}, 'session_info_out':{}}
+    
+    返回：
+    - Dict: 上传结果，包含success和message字段
+    """
+    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/upload"
+        
+        # 构建请求参数
+        payload = {
+            "namespace_url": url_token,  # 使用配置中的token作为namespace_url
+            "user_id": progress.get("user_id", ""),
+            "data": progress
+        }
+        
+        # 发送POST请求
+        response = requests.post(
+            api_url,
+            json=payload,
+            headers={"Content-Type": "application/json"},
+            timeout=10
+        )
+        
+        # 处理响应
+        if response.status_code == 200:
+            result = response.json()
+            current_app.logger.info(f"学习进度上传成功: user_id={progress.get('user_id')}")
+            return {
+                "success": True,
+                "message": "学习进度上传成功",
+                "data": result
+            }
+        else:
+            error_msg = f"上传失败，HTTP状态码: {response.status_code}"
+            current_app.logger.error(f"学习进度上传失败: {error_msg}")
+            return {
+                "success": False,
+                "message": error_msg
+            }
+    except Exception as e:
+        error_msg = f"上传异常: {str(e)}"
+        current_app.logger.error(f"学习进度上传异常: {error_msg}")
+        return {
+            "success": False,
+            "message": error_msg
+        }