feat: 实现数据库驱动的API配置管理和项目结构重组

## 新功能
- 实现管理后台API配置管理（OpenAI/Anthropic/Qwen）
- API配置保存到数据库，实时生效无需重启
- API密钥遮罩显示（前10位+后4位）
- 完整endpoint URL自动显示

## 后端改进
- 新增 config_service.py 用于加载数据库配置
- LLMService 支持动态配置注入，回退到环境变量
- 更新 exam.py 和 question.py 使用数据库配置
- 扩展 schemas.py 支持所有API配置字段

## 前端改进
- 重写 AdminSettings.jsx 增强UI体验
- API密钥显示/隐藏切换
- 当前使用的提供商可视化标识
- 移除"需要重启"的误导性提示

## 项目结构重组
- 移动所有脚本到 scripts/ 目录
- 移动所有文档到 docs/ 目录
- 清理 Python 缓存文件

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

backend/services/auth_service.py

@@ -28,13 +28,24 @@ async def get_current_user(
         headers={"WWW-Authenticate": "Bearer"},
     )
 
+    print(f"🔍 Received token (first 50 chars): {token[:50] if token else 'None'}...")
+
     # Decode token
     payload = decode_access_token(token)
     if payload is None:
+        print(f"❌ Token decode failed - Invalid or expired token")
         raise credentials_exception
 
-    user_id: int = payload.get("sub")
+    user_id = payload.get("sub")
     if user_id is None:
+        print(f"❌ No 'sub' in payload: {payload}")
+        raise credentials_exception
+
+    # Convert user_id to int if it's a string
+    try:
+        user_id = int(user_id)
+    except (ValueError, TypeError):
+        print(f"❌ Invalid user_id format: {user_id}")
         raise credentials_exception
 
     # Get user from database
@@ -42,8 +53,10 @@ async def get_current_user(
     user = result.scalar_one_or_none()
 
     if user is None:
+        print(f"❌ User not found with id: {user_id}")
         raise credentials_exception
 
+    print(f"✅ User authenticated: {user.username} (id={user.id})")
     return user
 
 

backend/services/config_service.py

@@ -0,0 +1,43 @@
+"""
+Configuration Service - Load system configuration from database
+"""
+from sqlalchemy.ext.asyncio import AsyncSession
+from sqlalchemy import select
+from typing import Dict
+from models import SystemConfig
+
+
+async def load_llm_config(db: AsyncSession) -> Dict[str, str]:
+    """
+    Load LLM configuration from database.
+
+    Returns a dictionary with all LLM-related configuration:
+    {
+        'ai_provider': 'openai',
+        'openai_api_key': 'sk-...',
+        'openai_base_url': 'https://api.openai.com/v1',
+        'openai_model': 'gpt-4o-mini',
+        ...
+    }
+    """
+    # Fetch all config from database
+    result = await db.execute(select(SystemConfig))
+    db_configs = {config.key: config.value for config in result.scalars().all()}
+
+    # Build configuration dictionary
+    config = {
+        'ai_provider': db_configs.get('ai_provider', 'openai'),
+        # OpenAI
+        'openai_api_key': db_configs.get('openai_api_key'),
+        'openai_base_url': db_configs.get('openai_base_url', 'https://api.openai.com/v1'),
+        'openai_model': db_configs.get('openai_model', 'gpt-4o-mini'),
+        # Anthropic
+        'anthropic_api_key': db_configs.get('anthropic_api_key'),
+        'anthropic_model': db_configs.get('anthropic_model', 'claude-3-haiku-20240307'),
+        # Qwen
+        'qwen_api_key': db_configs.get('qwen_api_key'),
+        'qwen_base_url': db_configs.get('qwen_base_url', 'https://dashscope.aliyuncs.com/compatible-mode/v1'),
+        'qwen_model': db_configs.get('qwen_model', 'qwen-plus')
+    }
+
+    return config

backend/services/llm_service.py

@@ -15,28 +15,53 @@ from utils import calculate_content_hash
 class LLMService:
     """Service for interacting with various LLM providers"""
 
-    def __init__(self):
-        self.provider = os.getenv("AI_PROVIDER", "openai")
+    def __init__(self, config: Optional[Dict[str, str]] = None):
+        """
+        Initialize LLM Service with optional configuration.
+        If config is not provided, falls back to environment variables.
+
+        Args:
+            config: Dictionary with keys like 'ai_provider', 'openai_api_key', etc.
+        """
+        # Get provider from config or environment
+        self.provider = (config or {}).get("ai_provider") or os.getenv("AI_PROVIDER", "openai")
 
         if self.provider == "openai":
+            api_key = (config or {}).get("openai_api_key") or os.getenv("OPENAI_API_KEY")
+            base_url = (config or {}).get("openai_base_url") or os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
+            self.model = (config or {}).get("openai_model") or os.getenv("OPENAI_MODEL", "gpt-4o-mini")
+
+            if not api_key:
+                raise ValueError("OpenAI API key not configured")
+
             self.client = AsyncOpenAI(
-                api_key=os.getenv("OPENAI_API_KEY"),
-                base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
+                api_key=api_key,
+                base_url=base_url
             )
-            self.model = os.getenv("OPENAI_MODEL", "gpt-4o-mini")
 
         elif self.provider == "anthropic":
+            api_key = (config or {}).get("anthropic_api_key") or os.getenv("ANTHROPIC_API_KEY")
+            self.model = (config or {}).get("anthropic_model") or os.getenv("ANTHROPIC_MODEL", "claude-3-haiku-20240307")
+
+            if not api_key:
+                raise ValueError("Anthropic API key not configured")
+
             self.client = AsyncAnthropic(
-                api_key=os.getenv("ANTHROPIC_API_KEY")
+                api_key=api_key
             )
-            self.model = os.getenv("ANTHROPIC_MODEL", "claude-3-haiku-20240307")
 
         elif self.provider == "qwen":
+            api_key = (config or {}).get("qwen_api_key") or os.getenv("QWEN_API_KEY")
+            base_url = (config or {}).get("qwen_base_url") or os.getenv("QWEN_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1")
+            self.model = (config or {}).get("qwen_model") or os.getenv("QWEN_MODEL", "qwen-plus")
+
+            if not api_key:
+                raise ValueError("Qwen API key not configured")
+
             self.client = AsyncOpenAI(
-                api_key=os.getenv("QWEN_API_KEY"),
-                base_url=os.getenv("QWEN_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1")
+                api_key=api_key,
+                base_url=base_url
             )
-            self.model = os.getenv("QWEN_MODEL", "qwen-plus")
 
         else:
             raise ValueError(f"Unsupported AI provider: {self.provider}")