good version for 算法注册

backend/app/config/settings.py

@@ -1,5 +1,6 @@
 from pydantic_settings import BaseSettings
-from typing import Optional
+from typing import Optional, Dict, Any
+from sqlalchemy.orm import Session
 
 
 class Settings(BaseSettings):
@@ -46,11 +47,56 @@ class Settings(BaseSettings):
     GITEA_DEFAULT_OWNER: str = ""
     GITEA_REPO_PREFIX: str = "AI"
     
+    # 服务管理配置
+    SERVICE_MANAGEMENT: Dict[str, Any] = {
+        "mode": "supervisor",  # 服务管理模式：local, docker, supervisor
+        "service_root_dir": "/opt/ai-services",
+        "supervisor_config_dir": "/etc/supervisor/conf.d",
+    }
+    
     class Config:
         env_file = ".env"
         case_sensitive = True
         extra = "allow"  # 允许额外的环境变量
 
+    def get_config(self, config_key: str, default: Any = None) -> Any:
+        """获取配置，优先级：环境变量 > 数据库 > 文件默认值
+        
+        Args:
+            config_key: 配置键
+            default: 默认值
+            
+        Returns:
+            配置值
+        """
+        # 1. 先从环境变量获取
+        env_key = config_key.upper().replace('.', '_')
+        env_value = getattr(self, env_key, None)
+        if env_value is not None:
+            return env_value
+        
+        # 2. 从数据库获取
+        try:
+            from app.models.database import SessionLocal
+            from app.models.models import ServiceConfig
+            
+            db: Session = SessionLocal()
+            try:
+                config = db.query(ServiceConfig).filter_by(
+                    config_key=config_key,
+                    status="active"
+                ).first()
+                if config:
+                    return config.config_value
+            finally:
+                db.close()
+        except Exception as e:
+            # 数据库连接失败时，返回默认值
+            print(f"Failed to load config from database: {str(e)}")
+        
+        # 3. 返回默认值
+        return default
+
 
 # 创建全局配置实例
 settings = Settings()

backend/app/gateway.py

@@ -72,9 +72,24 @@ class APIGateway:
             if not version_info:
                 raise HTTPException(status_code=404, detail="Algorithm version not found")
             
-            # 在实际实现中，这里会根据version_info.url将请求转发到对应的算法服务
-            # 现在我们模拟调用过程
-            algorithm_url = version_info.url if hasattr(version_info, 'url') else f"http://localhost:8001/algorithms/{algorithm_id}/execute"
+            # 尝试从算法版本获取URL，如果没有则尝试从服务表获取
+            algorithm_url = None
+            
+            # 首先检查版本信息中是否有URL
+            if hasattr(version_info, 'url') and version_info.url:
+                algorithm_url = version_info.url
+            else:
+                # 如果版本信息中没有URL，尝试从服务表获取
+                from app.models.models import AlgorithmService
+                service = db.query(AlgorithmService).filter(
+                    AlgorithmService.algorithm_name == algorithm_id
+                ).first()
+                
+                if service and service.api_url:
+                    algorithm_url = service.api_url
+                else:
+                    # 如果都没有，使用默认的本地端点
+                    algorithm_url = f"http://localhost:8001/algorithms/{algorithm_id}/execute"
             
             # 使用httpx调用算法服务
             async with httpx.AsyncClient(timeout=30.0) as client:

backend/app/main.py

@@ -4,7 +4,8 @@ from fastapi.middleware.trustedhost import TrustedHostMiddleware
 
 from app.config.settings import settings
 from app.models.database import engine, Base
-from app.routes import user, algorithm, openai, gateway, services, data_management, monitoring, permissions, history, deployment, gitea, repositories
+from app.models import models, api  # 导入所有模型以确保表被创建
+from app.routes import user, algorithm, openai, gateway, services, data_management, monitoring, permissions, history, deployment, gitea, repositories, config, comparison, api_management
 
 # 创建数据库表
 Base.metadata.create_all(bind=engine)
@@ -48,6 +49,9 @@ app.include_router(history.router, prefix=settings.API_V1_STR)
 app.include_router(deployment.router)
 app.include_router(gitea.router, prefix=settings.API_V1_STR)
 app.include_router(repositories.router, prefix=settings.API_V1_STR)
+app.include_router(config.router, prefix=settings.API_V1_STR)
+app.include_router(comparison.router, prefix=settings.API_V1_STR)
+app.include_router(api_management.router, prefix=settings.API_V1_STR)
 
 
 @app.get("/")

backend/app/models/api.py

@@ -0,0 +1,74 @@
+"""API封装模型"""
+
+from sqlalchemy import Column, String, DateTime, Text, Boolean, ForeignKey
+from sqlalchemy.dialects.postgresql import JSON
+from sqlalchemy.orm import relationship
+from datetime import datetime
+from app.models.database import Base
+import uuid
+
+
+class ApiEndpoint(Base):
+    """API端点模型"""
+    __tablename__ = "api_endpoints"
+    
+    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
+    name = Column(String, nullable=False, index=True)  # API名称
+    description = Column(Text, default="")  # API描述
+    path = Column(String, nullable=False, unique=True, index=True)  # API路径，如 /api/image-classification
+    method = Column(String, default="POST")  # HTTP方法：GET, POST, PUT, DELETE
+    algorithm_id = Column(String, ForeignKey("algorithms.id"), nullable=False, index=True)  # 关联的算法ID
+    version_id = Column(String, ForeignKey("algorithm_versions.id"), nullable=False, index=True)  # 关联的算法版本ID
+    service_id = Column(String, ForeignKey("algorithm_services.service_id"), nullable=True, index=True)  # 关联的服务ID
+    
+    # API配置
+    config = Column(JSON, nullable=False, default={})  # API配置（超时、重试等）
+    request_schema = Column(JSON, nullable=True)  # 请求参数schema
+    response_schema = Column(JSON, nullable=True)  # 响应参数schema
+    
+    # 权限配置
+    requires_auth = Column(Boolean, default=True)  # 是否需要认证
+    allowed_roles = Column(JSON, default=[])  # 允许的角色列表
+    rate_limit = Column(JSON, nullable=True)  # 限流配置，如 {"max_requests": 100, "window": 60}
+    
+    # 状态
+    status = Column(String, default="active", index=True)  # 状态：active, inactive, deprecated
+    is_public = Column(Boolean, default=False)  # 是否公开
+    
+    # 统计信息
+    call_count = Column(String, default="0")  # 调用次数
+    success_count = Column(String, default="0")  # 成功次数
+    error_count = Column(String, default="0")  # 错误次数
+    avg_response_time = Column(String, default="0.0")  # 平均响应时间
+    
+    # 时间戳
+    created_at = Column(DateTime(timezone=True), default=datetime.utcnow)
+    updated_at = Column(DateTime(timezone=True), onupdate=datetime.utcnow)
+    last_called_at = Column(DateTime(timezone=True), nullable=True)  # 最后调用时间
+
+
+class ApiCallLog(Base):
+    """API调用日志模型"""
+    __tablename__ = "api_call_logs"
+    
+    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
+    api_endpoint_id = Column(String, ForeignKey("api_endpoints.id"), nullable=False, index=True)  # API端点ID
+    user_id = Column(String, ForeignKey("users.id"), nullable=True, index=True)  # 调用用户ID
+    
+    # 请求信息
+    request_method = Column(String, nullable=False)  # 请求方法
+    request_path = Column(String, nullable=False)  # 请求路径
+    request_headers = Column(JSON, nullable=True)  # 请求头
+    request_body = Column(JSON, nullable=True)  # 请求体
+    
+    # 响应信息
+    response_status = Column(String, nullable=False)  # 响应状态码
+    response_body = Column(JSON, nullable=True)  # 响应体
+    response_time = Column(String, nullable=False)  # 响应时间（秒）
+    
+    # 错误信息
+    error_message = Column(Text, nullable=True)  # 错误信息
+    error_type = Column(String, nullable=True)  # 错误类型
+    
+    # 时间戳
+    created_at = Column(DateTime(timezone=True), default=datetime.utcnow, index=True)  # 调用时间

backend/app/models/models.py

@@ -13,6 +13,8 @@ class Algorithm(Base):
     name = Column(String, nullable=False, index=True)
     description = Column(Text, nullable=False)
     type = Column(String, nullable=False, index=True)  # computer_vision, nlp, ml, edge_computing, medical, autonomous_driving等
+    tech_category = Column(String, nullable=False, default="computer_vision")  # 技术分类：计算机视觉、视频处理、自然语言处理等
+    output_type = Column(String, nullable=False, default="image")  # 输出类型：图片、视频、文本、JSON等
     status = Column(String, default="active", index=True)
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     updated_at = Column(DateTime(timezone=True), onupdate=func.now())
@@ -159,6 +161,8 @@ class AlgorithmService(Base):
     name = Column(String, nullable=False, index=True)  # 服务名称
     algorithm_name = Column(String, nullable=False)  # 算法名称
     version = Column(String, nullable=False)  # 版本
+    tech_category = Column(String, nullable=False, default="computer_vision")  # 技术分类：计算机视觉、视频处理、自然语言处理等
+    output_type = Column(String, nullable=False, default="image")  # 输出类型：图片、视频、文本、JSON等
     host = Column(String, nullable=False)  # 主机地址
     port = Column(Integer, nullable=False)  # 端口
     api_url = Column(String, nullable=False)  # API地址
@@ -172,3 +176,18 @@ class AlgorithmService(Base):
 
 # 添加Algorithm模型的repository关系
 Algorithm.repository = relationship("AlgorithmRepository", back_populates="algorithm", uselist=False)
+
+
+class ServiceConfig(Base):
+    """服务配置模型"""
+    __tablename__ = "service_configs"
+    
+    id = Column(String, primary_key=True, index=True)
+    config_key = Column(String, nullable=False, unique=True, index=True)  # 配置键
+    config_value = Column(JSON, nullable=False)  # 配置值（JSON格式）
+    config_type = Column(String, nullable=False)  # 配置类型：system, service, user
+    service_id = Column(String, nullable=True, index=True)  # 服务ID（可为空，系统配置）
+    description = Column(Text, default="")  # 配置描述
+    status = Column(String, default="active")  # 状态
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())

backend/app/routes/__init__.py

@@ -1,5 +1,5 @@
 from fastapi import APIRouter
-from app.routes import user, algorithm, history, gateway, monitoring, openai, deployment
+from app.routes import user, algorithm, history, gateway, monitoring, openai, deployment, config, comparison
 
 api_router = APIRouter()
 
@@ -11,3 +11,5 @@ api_router.include_router(gateway.router, prefix="/gateway", tags=["gateway"])
 api_router.include_router(monitoring.router, prefix="/monitoring", tags=["monitoring"])
 api_router.include_router(openai.router, prefix="/openai", tags=["openai"])
 api_router.include_router(deployment.router, tags=["deployment"])
+api_router.include_router(config.router, tags=["config"])
+api_router.include_router(comparison.router, tags=["comparison"])

backend/app/routes/algorithm.py

@@ -33,6 +33,18 @@ async def create_algorithm(
 
 
 @router.get("", response_model=AlgorithmListResponse)
+async def get_algorithms_no_slash(
+    skip: int = 0,
+    limit: int = 100,
+    type: Optional[str] = None,
+    db: Session = Depends(get_db)
+):
+    """获取算法列表（不带末尾斜杠）"""
+    algorithms = AlgorithmService.get_algorithms(db, skip=skip, limit=limit, algorithm_type=type)
+    return {"algorithms": algorithms, "total": len(algorithms)}
+
+
+@router.get("/", response_model=AlgorithmListResponse)
 async def get_algorithms(
     skip: int = 0,
     limit: int = 100,

backend/app/routes/api_management.py

@@ -0,0 +1,510 @@
+"""API管理路由，处理API端点的封装和管理"""
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from pydantic import BaseModel
+from typing import List, Optional, Dict, Any
+from sqlalchemy.orm import Session
+import logging
+from datetime import datetime
+
+from app.models.database import get_db
+from app.models.models import Algorithm, AlgorithmVersion, AlgorithmService, User
+from app.models.api import ApiEndpoint, ApiCallLog
+from app.schemas.user import UserResponse
+from app.routes.user import get_current_active_user
+
+router = APIRouter(prefix="/api-management", tags=["api-management"])
+
+logger = logging.getLogger(__name__)
+
+
+class ApiEndpointCreate(BaseModel):
+    """创建API端点请求模型"""
+    name: str
+    description: str = ""
+    path: str
+    method: str = "POST"
+    algorithm_id: str
+    version_id: str
+    service_id: Optional[str] = None
+    requires_auth: bool = True
+    allowed_roles: List[str] = []
+    rate_limit: Optional[Dict[str, Any]] = None
+    is_public: bool = False
+    config: Dict[str, Any] = {}
+
+
+class ApiEndpointUpdate(BaseModel):
+    """更新API端点请求模型"""
+    name: Optional[str] = None
+    description: Optional[str] = None
+    path: Optional[str] = None
+    method: Optional[str] = None
+    requires_auth: Optional[bool] = None
+    allowed_roles: Optional[List[str]] = None
+    rate_limit: Optional[Dict[str, Any]] = None
+    is_public: Optional[bool] = None
+    config: Optional[Dict[str, Any]] = None
+    status: Optional[str] = None
+
+
+class ApiEndpointResponse(BaseModel):
+    """API端点响应模型"""
+    id: str
+    name: str
+    description: str
+    path: str
+    method: str
+    algorithm_id: str
+    algorithm_name: str
+    version_id: str
+    version: str
+    service_id: Optional[str]
+    status: str
+    is_public: bool
+    call_count: str
+    success_count: str
+    error_count: str
+    avg_response_time: str
+    created_at: datetime
+    updated_at: Optional[datetime]
+    last_called_at: Optional[datetime]
+
+
+class ApiEndpointListResponse(BaseModel):
+    """API端点列表响应模型"""
+    endpoints: List[ApiEndpointResponse]
+    total: int
+
+
+class ApiStatsResponse(BaseModel):
+    """API统计响应模型"""
+    total_endpoints: int
+    active_endpoints: int
+    total_calls: str
+    total_success: str
+    total_errors: str
+    avg_response_time: str
+
+
+@router.get("/endpoints", response_model=ApiEndpointListResponse)
+async def get_api_endpoints(
+    skip: int = 0,
+    limit: int = 100,
+    algorithm_id: Optional[str] = None,
+    status: Optional[str] = None,
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """获取API端点列表"""
+    try:
+        # 构建查询
+        query = db.query(ApiEndpoint)
+        
+        # 筛选条件
+        if algorithm_id:
+            query = query.filter(ApiEndpoint.algorithm_id == algorithm_id)
+        if status:
+            query = query.filter(ApiEndpoint.status == status)
+        
+        # 分页
+        endpoints = query.offset(skip).limit(limit).all()
+        total = query.count()
+        
+        # 构建响应
+        endpoint_responses = []
+        for endpoint in endpoints:
+            # 获取关联的算法和版本信息
+            algorithm = db.query(Algorithm).filter(Algorithm.id == endpoint.algorithm_id).first()
+            version = db.query(AlgorithmVersion).filter(AlgorithmVersion.id == endpoint.version_id).first()
+            
+            endpoint_responses.append({
+                "id": endpoint.id,
+                "name": endpoint.name,
+                "description": endpoint.description,
+                "path": endpoint.path,
+                "method": endpoint.method,
+                "algorithm_id": endpoint.algorithm_id,
+                "algorithm_name": algorithm.name if algorithm else "",
+                "version_id": endpoint.version_id,
+                "version": version.version if version else "",
+                "service_id": endpoint.service_id,
+                "status": endpoint.status,
+                "is_public": endpoint.is_public,
+                "call_count": endpoint.call_count,
+                "success_count": endpoint.success_count,
+                "error_count": endpoint.error_count,
+                "avg_response_time": endpoint.avg_response_time,
+                "created_at": endpoint.created_at,
+                "updated_at": endpoint.updated_at,
+                "last_called_at": endpoint.last_called_at
+            })
+        
+        return {
+            "endpoints": endpoint_responses,
+            "total": total
+        }
+    except Exception as e:
+        logger.error(f"获取API端点列表失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"获取API端点列表失败: {str(e)}")
+
+
+@router.get("/endpoints/{endpoint_id}", response_model=ApiEndpointResponse)
+async def get_api_endpoint(
+    endpoint_id: str,
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """获取API端点详情"""
+    try:
+        endpoint = db.query(ApiEndpoint).filter(ApiEndpoint.id == endpoint_id).first()
+        
+        if not endpoint:
+            raise HTTPException(status_code=404, detail="API端点不存在")
+        
+        # 获取关联的算法和版本信息
+        algorithm = db.query(Algorithm).filter(Algorithm.id == endpoint.algorithm_id).first()
+        version = db.query(AlgorithmVersion).filter(AlgorithmVersion.id == endpoint.version_id).first()
+        
+        return {
+            "id": endpoint.id,
+            "name": endpoint.name,
+            "description": endpoint.description,
+            "path": endpoint.path,
+            "method": endpoint.method,
+            "algorithm_id": endpoint.algorithm_id,
+            "algorithm_name": algorithm.name if algorithm else "",
+            "version_id": endpoint.version_id,
+            "version": version.version if version else "",
+            "service_id": endpoint.service_id,
+            "status": endpoint.status,
+            "is_public": endpoint.is_public,
+            "call_count": endpoint.call_count,
+            "success_count": endpoint.success_count,
+            "error_count": endpoint.error_count,
+            "avg_response_time": endpoint.avg_response_time,
+            "created_at": endpoint.created_at,
+            "updated_at": endpoint.updated_at,
+            "last_called_at": endpoint.last_called_at
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"获取API端点详情失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"获取API端点详情失败: {str(e)}")
+
+
+@router.post("/endpoints", response_model=ApiEndpointResponse, status_code=status.HTTP_201_CREATED)
+async def create_api_endpoint(
+    request: ApiEndpointCreate,
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """创建API端点"""
+    try:
+        # 检查用户权限
+        if not hasattr(current_user, 'role_name') or current_user.role_name != "admin":
+            raise HTTPException(status_code=403, detail="Insufficient permissions")
+        
+        # 验证算法和版本是否存在
+        algorithm = db.query(Algorithm).filter(Algorithm.id == request.algorithm_id).first()
+        if not algorithm:
+            raise HTTPException(status_code=404, detail="算法不存在")
+        
+        version = db.query(AlgorithmVersion).filter(
+            AlgorithmVersion.id == request.version_id
+        ).first()
+        if not version or version.algorithm_id != request.algorithm_id:
+            raise HTTPException(status_code=404, detail="算法版本不存在")
+        
+        # 如果指定了服务ID，验证服务是否存在
+        if request.service_id:
+            service = db.query(AlgorithmService).filter(
+                AlgorithmService.service_id == request.service_id
+            ).first()
+            if not service:
+                raise HTTPException(status_code=404, detail="服务不存在")
+        
+        # 检查API路径是否已存在
+        existing_endpoint = db.query(ApiEndpoint).filter(
+            ApiEndpoint.path == request.path
+        ).first()
+        if existing_endpoint:
+            raise HTTPException(status_code=400, detail="API路径已存在")
+        
+        # 创建API端点
+        new_endpoint = ApiEndpoint(
+            name=request.name,
+            description=request.description,
+            path=request.path,
+            method=request.method,
+            algorithm_id=request.algorithm_id,
+            version_id=request.version_id,
+            service_id=request.service_id,
+            requires_auth=request.requires_auth,
+            allowed_roles=request.allowed_roles,
+            rate_limit=request.rate_limit,
+            is_public=request.is_public,
+            config=request.config,
+            status="active",
+            call_count="0",
+            success_count="0",
+            error_count="0",
+            avg_response_time="0.0"
+        )
+        
+        db.add(new_endpoint)
+        db.commit()
+        db.refresh(new_endpoint)
+        
+        # 返回创建的API端点
+        return {
+            "id": new_endpoint.id,
+            "name": new_endpoint.name,
+            "description": new_endpoint.description,
+            "path": new_endpoint.path,
+            "method": new_endpoint.method,
+            "algorithm_id": new_endpoint.algorithm_id,
+            "algorithm_name": algorithm.name,
+            "version_id": new_endpoint.version_id,
+            "version": version.version,
+            "service_id": new_endpoint.service_id,
+            "status": new_endpoint.status,
+            "is_public": new_endpoint.is_public,
+            "call_count": new_endpoint.call_count,
+            "success_count": new_endpoint.success_count,
+            "error_count": new_endpoint.error_count,
+            "avg_response_time": new_endpoint.avg_response_time,
+            "created_at": new_endpoint.created_at,
+            "updated_at": new_endpoint.updated_at,
+            "last_called_at": new_endpoint.last_called_at
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"创建API端点失败: {str(e)}")
+        db.rollback()
+        raise HTTPException(status_code=500, detail=f"创建API端点失败: {str(e)}")
+
+
+@router.put("/endpoints/{endpoint_id}", response_model=ApiEndpointResponse)
+async def update_api_endpoint(
+    endpoint_id: str,
+    request: ApiEndpointUpdate,
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """更新API端点"""
+    try:
+        # 检查用户权限
+        if not hasattr(current_user, 'role_name') or current_user.role_name != "admin":
+            raise HTTPException(status_code=403, detail="Insufficient permissions")
+        
+        # 查询API端点
+        endpoint = db.query(ApiEndpoint).filter(ApiEndpoint.id == endpoint_id).first()
+        if not endpoint:
+            raise HTTPException(status_code=404, detail="API端点不存在")
+        
+        # 更新字段
+        if request.name is not None:
+            endpoint.name = request.name
+        if request.description is not None:
+            endpoint.description = request.description
+        if request.path is not None:
+            # 检查新路径是否已被其他端点使用
+            existing_endpoint = db.query(ApiEndpoint).filter(
+                ApiEndpoint.path == request.path,
+                ApiEndpoint.id != endpoint_id
+            ).first()
+            if existing_endpoint:
+                raise HTTPException(status_code=400, detail="API路径已存在")
+            endpoint.path = request.path
+        if request.method is not None:
+            endpoint.method = request.method
+        if request.requires_auth is not None:
+            endpoint.requires_auth = request.requires_auth
+        if request.allowed_roles is not None:
+            endpoint.allowed_roles = request.allowed_roles
+        if request.rate_limit is not None:
+            endpoint.rate_limit = request.rate_limit
+        if request.is_public is not None:
+            endpoint.is_public = request.is_public
+        if request.config is not None:
+            endpoint.config = request.config
+        if request.status is not None:
+            endpoint.status = request.status
+        
+        db.commit()
+        db.refresh(endpoint)
+        
+        # 获取关联的算法和版本信息
+        algorithm = db.query(Algorithm).filter(Algorithm.id == endpoint.algorithm_id).first()
+        version = db.query(AlgorithmVersion).filter(AlgorithmVersion.id == endpoint.version_id).first()
+        
+        return {
+            "id": endpoint.id,
+            "name": endpoint.name,
+            "description": endpoint.description,
+            "path": endpoint.path,
+            "method": endpoint.method,
+            "algorithm_id": endpoint.algorithm_id,
+            "algorithm_name": algorithm.name if algorithm else "",
+            "version_id": endpoint.version_id,
+            "version": version.version if version else "",
+            "service_id": endpoint.service_id,
+            "status": endpoint.status,
+            "is_public": endpoint.is_public,
+            "call_count": endpoint.call_count,
+            "success_count": endpoint.success_count,
+            "error_count": endpoint.error_count,
+            "avg_response_time": endpoint.avg_response_time,
+            "created_at": endpoint.created_at,
+            "updated_at": endpoint.updated_at,
+            "last_called_at": endpoint.last_called_at
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"更新API端点失败: {str(e)}")
+        db.rollback()
+        raise HTTPException(status_code=500, detail=f"更新API端点失败: {str(e)}")
+
+
+@router.delete("/endpoints/{endpoint_id}")
+async def delete_api_endpoint(
+    endpoint_id: str,
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """删除API端点"""
+    try:
+        # 检查用户权限
+        if not hasattr(current_user, 'role_name') or current_user.role_name != "admin":
+            raise HTTPException(status_code=403, detail="Insufficient permissions")
+        
+        # 查询API端点
+        endpoint = db.query(ApiEndpoint).filter(ApiEndpoint.id == endpoint_id).first()
+        if not endpoint:
+            raise HTTPException(status_code=404, detail="API端点不存在")
+        
+        # 删除API端点
+        db.delete(endpoint)
+        db.commit()
+        
+        return {
+            "success": True,
+            "message": "API端点删除成功"
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"删除API端点失败: {str(e)}")
+        db.rollback()
+        raise HTTPException(status_code=500, detail=f"删除API端点失败: {str(e)}")
+
+
+@router.get("/stats", response_model=ApiStatsResponse)
+async def get_api_stats(
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """获取API统计信息"""
+    try:
+        # 检查用户权限
+        if not hasattr(current_user, 'role_name') or current_user.role_name != "admin":
+            raise HTTPException(status_code=403, detail="Insufficient permissions")
+        
+        # 统计API端点
+        total_endpoints = db.query(ApiEndpoint).count()
+        active_endpoints = db.query(ApiEndpoint).filter(ApiEndpoint.status == "active").count()
+        
+        # 统计调用次数
+        endpoints = db.query(ApiEndpoint).all()
+        total_calls = sum(int(e.call_count or 0) for e in endpoints)
+        total_success = sum(int(e.success_count or 0) for e in endpoints)
+        total_errors = sum(int(e.error_count or 0) for e in endpoints)
+        
+        # 计算平均响应时间
+        avg_response_times = [float(e.avg_response_time or 0) for e in endpoints if float(e.avg_response_time or 0) > 0]
+        avg_response_time = sum(avg_response_times) / len(avg_response_times) if avg_response_times else 0.0
+        
+        return {
+            "total_endpoints": total_endpoints,
+            "active_endpoints": active_endpoints,
+            "total_calls": str(total_calls),
+            "total_success": str(total_success),
+            "total_errors": str(total_errors),
+            "avg_response_time": f"{avg_response_time:.2f}"
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"获取API统计信息失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"获取API统计信息失败: {str(e)}")
+
+
+@router.post("/endpoints/{endpoint_id}/test")
+async def test_api_endpoint(
+    endpoint_id: str,
+    payload: Dict[str, Any],
+    db: Session = Depends(get_db),
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """测试API端点"""
+    try:
+        # 查询API端点
+        endpoint = db.query(ApiEndpoint).filter(ApiEndpoint.id == endpoint_id).first()
+        if not endpoint:
+            raise HTTPException(status_code=404, detail="API端点不存在")
+        
+        # 检查API端点状态
+        if endpoint.status != "active":
+            raise HTTPException(status_code=400, detail="API端点未激活")
+        
+        # 查询关联的服务
+        if endpoint.service_id:
+            service = db.query(AlgorithmService).filter(
+                AlgorithmService.service_id == endpoint.service_id
+            ).first()
+            if not service or service.status != "running":
+                raise HTTPException(status_code=400, detail="关联服务未运行")
+            
+            # 调用服务
+            import httpx
+            import time
+            
+            service_url = service.api_url
+            if not service_url.endswith("/"):
+                service_url += "/"
+            
+            call_url = f"{service_url}predict"
+            
+            start_time = time.time()
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(
+                    call_url,
+                    json=payload,
+                    headers={"Content-Type": "application/json"}
+                )
+                response_time = time.time() - start_time
+                
+                if response.status_code == 200:
+                    return {
+                        "success": True,
+                        "result": response.json(),
+                        "response_time": response_time,
+                        "message": "API调用成功"
+                    }
+                else:
+                    return {
+                        "success": False,
+                        "error": f"服务返回错误: HTTP {response.status_code}",
+                        "response_time": response_time
+                    }
+        else:
+            raise HTTPException(status_code=400, detail="API端点未关联服务")
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"测试API端点失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"测试API端点失败: {str(e)}")

backend/app/routes/comparison.py

@@ -0,0 +1,64 @@
+from fastapi import APIRouter, Depends, HTTPException
+from typing import Dict, Any, List
+
+from app.services.comparison_service import ComparisonService
+from app.routes.user import get_current_active_user
+
+# 创建路由器
+router = APIRouter(prefix="/comparison", tags=["comparison"])
+
+# 创建对比服务实例
+comparison_service = ComparisonService()
+
+
+@router.post("/compare-algorithms", response_model=dict)
+async def compare_algorithms(
+    request_data: Dict[str, Any],
+    current_user: dict = Depends(get_current_active_user)
+):
+    """比较多个算法的效果
+    
+    Args:
+        request_data: 请求数据，包含input_data和algorithm_configs
+        current_user: 当前活跃用户
+        
+    Returns:
+        对比结果
+    """
+    input_data = request_data.get("input_data")
+    algorithm_configs = request_data.get("algorithm_configs")
+    
+    if not input_data:
+        raise HTTPException(status_code=400, detail="缺少 input_data 参数")
+    
+    if not algorithm_configs or not isinstance(algorithm_configs, list):
+        raise HTTPException(status_code=400, detail="缺少 algorithm_configs 参数或格式错误")
+    
+    result = await comparison_service.compare_algorithms(input_data, algorithm_configs)
+    
+    if not result["success"]:
+        raise HTTPException(status_code=500, detail=result.get("error", "对比失败"))
+    
+    return result
+
+
+@router.post("/generate-report", response_model=dict)
+async def generate_comparison_report(
+    comparison_results: Dict[str, Any],
+    current_user: dict = Depends(get_current_active_user)
+):
+    """生成对比报告
+    
+    Args:
+        comparison_results: 对比结果
+        current_user: 当前活跃用户
+        
+    Returns:
+        对比报告
+    """
+    report = comparison_service.generate_comparison_report(comparison_results)
+    
+    if not report["success"]:
+        raise HTTPException(status_code=500, detail=report.get("error", "生成报告失败"))
+    
+    return report

backend/app/routes/config.py

@@ -0,0 +1,124 @@
+from fastapi import APIRouter, Depends, HTTPException
+from sqlalchemy.orm import Session
+from typing import Dict, Any, List, Optional
+
+from app.models.database import get_db
+from app.services.config_service import ConfigService
+from app.routes.user import get_current_active_user
+
+router = APIRouter(prefix="/config", tags=["config"])
+
+
+@router.get("/{config_key}")
+async def get_config(
+    config_key: str,
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_active_user)
+):
+    """获取配置
+    
+    Args:
+        config_key: 配置键
+        db: 数据库会话
+        current_user: 当前活跃用户
+        
+    Returns:
+        配置信息
+    """
+    config = ConfigService.get_config(db, config_key)
+    if not config:
+        raise HTTPException(status_code=404, detail="配置不存在")
+    return {"key": config_key, "value": config}
+
+
+@router.post("/{config_key}")
+async def set_config(
+    config_key: str,
+    config_data: Dict[str, Any],
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_active_user)
+):
+    """设置配置
+    
+    Args:
+        config_key: 配置键
+        config_data: 配置数据，包含value、type、service_id、description等字段
+        db: 数据库会话
+        current_user: 当前活跃用户
+        
+    Returns:
+        设置结果
+    """
+    success = ConfigService.set_config(
+        db=db,
+        config_key=config_key,
+        config_value=config_data.get("value"),
+        config_type=config_data.get("type", "system"),
+        service_id=config_data.get("service_id"),
+        description=config_data.get("description", "")
+    )
+    if not success:
+        raise HTTPException(status_code=400, detail="设置配置失败")
+    return {"message": "设置配置成功"}
+
+
+@router.get("/service/{service_id}")
+async def get_service_configs(
+    service_id: str,
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_active_user)
+):
+    """获取服务配置
+    
+    Args:
+        service_id: 服务ID
+        db: 数据库会话
+        current_user: 当前活跃用户
+        
+    Returns:
+        服务配置列表
+    """
+    configs = ConfigService.get_service_configs(db, service_id)
+    return {"service_id": service_id, "configs": configs}
+
+
+@router.delete("/{config_key}")
+async def delete_config(
+    config_key: str,
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_active_user)
+):
+    """删除配置
+    
+    Args:
+        config_key: 配置键
+        db: 数据库会话
+        current_user: 当前活跃用户
+        
+    Returns:
+        删除结果
+    """
+    success = ConfigService.delete_config(db, config_key)
+    if not success:
+        raise HTTPException(status_code=400, detail="删除配置失败")
+    return {"message": "删除配置成功"}
+
+
+@router.get("/")
+async def get_all_configs(
+    config_type: Optional[str] = None,
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_active_user)
+):
+    """获取所有配置
+    
+    Args:
+        config_type: 配置类型，可选
+        db: 数据库会话
+        current_user: 当前活跃用户
+        
+    Returns:
+        配置列表
+    """
+    configs = ConfigService.get_all_configs(db, config_type)
+    return {"configs": configs}

backend/app/routes/services.py

@@ -14,6 +14,7 @@ from app.schemas.user import UserResponse
 from app.services.project_analyzer import ProjectAnalyzer
 from app.services.service_generator import ServiceGenerator
 from app.services.service_orchestrator import ServiceOrchestrator
+from app.gitea.service import gitea_service
 
 router = APIRouter(prefix="/services", tags=["services"])
 
@@ -23,6 +24,9 @@ class RegisterServiceRequest(BaseModel):
     repository_id: str
     name: str
     version: str = "1.0.0"
+    description: Optional[str] = ""
+    tech_category: str = "computer_vision"
+    output_type: str = "image"
     service_type: str = "http"
     host: str = "0.0.0.0"
     port: int = 8000
@@ -154,31 +158,24 @@ async def register_service(
         # 记录仓库信息
         print(f"仓库信息: {repo.name}, {repo.description}, {repo.repo_url}")
         
-        # 2. 分析项目
-        repo_path = f"/tmp/repository_{request.repository_id}"
-        # 注意：在实际实现中，应该从算法仓库中获取项目文件
-        # 这里简化处理，创建一个模拟的项目结构
-        os.makedirs(repo_path, exist_ok=True)
+        # 2. 从Gitea仓库克隆代码到本地
+        repo_path = f"/tmp/algorithms/{request.repository_id}"
         
-        # 创建模拟的算法文件
-        with open(os.path.join(repo_path, "algorithm.py"), "w") as f:
-            f.write("""
-def predict(data):
-    return {"result": "Prediction result", "input": data}
-
-def run(data):
-    return {"result": "Run result", "input": data}
-
-def main(data):
-    return {"result": "Main result", "input": data}
-""")
+        # 使用Gitea服务克隆仓库
+        clone_success = gitea_service.clone_repository(repo.repo_url, request.repository_id, repo.branch or "main")
+        if not clone_success:
+            raise HTTPException(status_code=400, detail=f"克隆仓库失败: {repo.repo_url}")
         
-        # 分析项目
+        print(f"仓库克隆成功: {repo_path}")
+        
+        # 3. 分析项目
         project_info = project_analyzer.analyze_project(repo_path)
         if not project_info["success"]:
             raise HTTPException(status_code=400, detail=f"项目分析失败: {project_info['error']}")
         
-        # 3. 生成服务包装器
+        print(f"项目分析成功: {project_info}")
+        
+        # 4. 生成服务包装器
         service_config = {
             "name": request.name,
             "version": request.version,
@@ -194,24 +191,31 @@ def main(data):
         if not generate_result["success"]:
             raise HTTPException(status_code=400, detail=f"服务生成失败: {generate_result['error']}")
         
-        # 4. 部署服务
+        print(f"服务生成成功: {generate_result}")
+        
+        # 5. 部署服务
         service_id = str(uuid.uuid4())
-        deploy_result = service_orchestrator.deploy_service(service_id, service_config, project_info)
+        deploy_result = service_orchestrator.deploy_service(service_id, service_config, project_info, repo_path)
         if not deploy_result["success"]:
             raise HTTPException(status_code=400, detail=f"服务部署失败: {deploy_result['error']}")
         
-        # 5. 保存服务信息到数据库
+        print(f"服务部署成功: {deploy_result}")
+        
+        # 6. 保存服务信息到数据库
         new_service = AlgorithmService(
             id=str(uuid.uuid4()),
             service_id=service_id,
             name=request.name,
             algorithm_name=repo.name,  # 使用仓库名称作为算法名称
             version=request.version,
+            tech_category=request.tech_category,
+            output_type=request.output_type,
             host=request.host,
             port=request.port,
             api_url=deploy_result["api_url"],
             status=deploy_result["status"],
             config={
+                "repository_id": request.repository_id,  # 保存仓库ID
                 "service_type": request.service_type,
                 "timeout": request.timeout,
                 "health_check_path": request.health_check_path,
@@ -352,8 +356,64 @@ async def start_service(
         
         # 启动服务
         start_result = service_orchestrator.start_service(service_id, container_id)
+        
+        # 如果启动失败，尝试从数据库重新注册服务
         if not start_result["success"]:
-            raise HTTPException(status_code=400, detail=f"服务启动失败: {start_result['error']}")
+            print(f"服务启动失败: {start_result['error']}，尝试从数据库重新注册服务")
+            
+            # 获取仓库信息
+            repository_id = service.config.get("repository_id")
+            if not repository_id:
+                raise HTTPException(status_code=400, detail="Repository ID not found in service config")
+            
+            repository = db.query(AlgorithmRepository).filter(AlgorithmRepository.id == repository_id).first()
+            if not repository:
+                raise HTTPException(status_code=404, detail="Repository not found")
+            
+            # 从Gitea克隆仓库
+            clone_success = gitea_service.clone_repository(
+                repository.repo_url, 
+                service_id, 
+                repository.branch or "main"
+            )
+            if not clone_success:
+                raise HTTPException(status_code=400, detail="Failed to clone repository")
+            
+            # 仓库路径
+            repo_path = f"/tmp/algorithms/{service_id}"
+            
+            # 分析项目
+            project_info = project_analyzer.analyze_project(repo_path)
+            if not project_info:
+                raise HTTPException(status_code=400, detail="Failed to analyze project")
+            
+            # 生成服务
+            service_config = {
+                "name": service.name,
+                "version": service.version,
+                "host": service.host,
+                "port": service.port,
+                "timeout": service.config.get("timeout", 30),
+                "health_check_path": service.config.get("health_check_path", "/health"),
+                "environment": service.config.get("environment", {})
+            }
+            
+            # 部署服务
+            deploy_result = service_orchestrator.deploy_service(service_id, project_info, service_config, repo_path)
+            if not deploy_result["success"]:
+                raise HTTPException(status_code=400, detail=f"服务部署失败: {deploy_result['error']}")
+            
+            # 更新服务配置
+            service.config["container_id"] = deploy_result["container_id"]
+            service.api_url = deploy_result["api_url"]
+            db.commit()
+            
+            start_result = {
+                "success": True,
+                "service_id": service_id,
+                "status": "running",
+                "error": None
+            }
         
         # 更新服务状态
         service.status = start_result["status"]
@@ -1065,3 +1125,108 @@ async def batch_delete_services(
         )
     finally:
         db.close()
+
+
+class ServiceCallRequest(BaseModel):
+    """服务调用请求"""
+    service_id: str
+    payload: Dict[str, Any]
+
+
+class ServiceCallResponse(BaseModel):
+    """服务调用响应"""
+    success: bool
+    result: Dict[str, Any]
+    service_id: str
+    execution_time: float
+    error: Optional[str] = None
+
+
+@router.post("/call")
+async def call_service(
+    request: ServiceCallRequest,
+    current_user: UserResponse = Depends(get_current_active_user)
+):
+    """直接调用注册的服务"""
+    import time
+    import httpx
+    
+    # 创建数据库会话
+    db = SessionLocal()
+    try:
+        # 查询服务
+        service = db.query(AlgorithmService).filter(
+            AlgorithmService.service_id == request.service_id
+        ).first()
+        
+        if not service:
+            raise HTTPException(status_code=404, detail="服务不存在")
+        
+        # 检查服务状态
+        if service.status != "running":
+            raise HTTPException(
+                status_code=503, 
+                detail=f"服务未运行，当前状态: {service.status}"
+            )
+        
+        # 调用服务
+        start_time = time.time()
+        
+        try:
+            # 构建服务URL
+            service_url = service.api_url
+            
+            # 如果URL没有路径，添加默认路径
+            if not service_url.endswith("/"):
+                service_url += "/"
+            
+            # 添加调用端点
+            call_url = f"{service_url}predict"
+            
+            # 使用httpx调用服务
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(
+                    call_url,
+                    json=request.payload,
+                    headers={"Content-Type": "application/json"}
+                )
+                
+                execution_time = time.time() - start_time
+                
+                if response.status_code == 200:
+                    return ServiceCallResponse(
+                        success=True,
+                        result=response.json(),
+                        service_id=request.service_id,
+                        execution_time=execution_time
+                    )
+                else:
+                    return ServiceCallResponse(
+                        success=False,
+                        result={},
+                        service_id=request.service_id,
+                        execution_time=execution_time,
+                        error=f"服务返回错误: HTTP {response.status_code} - {response.text}"
+                    )
+                    
+        except httpx.RequestError as e:
+            execution_time = time.time() - start_time
+            return ServiceCallResponse(
+                success=False,
+                result={},
+                service_id=request.service_id,
+                execution_time=execution_time,
+                error=f"无法连接到服务: {str(e)}"
+            )
+        except Exception as e:
+            execution_time = time.time() - start_time
+            return ServiceCallResponse(
+                success=False,
+                result={},
+                service_id=request.service_id,
+                execution_time=execution_time,
+                error=f"服务调用异常: {str(e)}"
+            )
+            
+    finally:
+        db.close()

backend/app/routes/user.py

@@ -167,6 +167,12 @@ async def read_users_me(current_user: UserResponse = Depends(get_current_active_
     return current_user
 
 
+@router.get("/me/", response_model=UserResponse)
+async def read_users_me_with_slash(current_user: UserResponse = Depends(get_current_active_user)):
+    """获取当前用户信息（带末尾斜杠）"""
+    return current_user
+
+
 @router.get("/", response_model=UserListResponse)
 async def get_users(
     skip: int = 0,

backend/app/schemas/algorithm.py

@@ -9,6 +9,8 @@ class AlgorithmBase(BaseModel):
     name: str = Field(..., description="算法名称")
     description: str = Field(..., description="算法描述")
     type: str = Field(..., description="算法类型")
+    tech_category: str = Field(default="computer_vision", description="技术分类")
+    output_type: str = Field(default="image", description="输出类型")
 
 
 class AlgorithmCreate(AlgorithmBase):

backend/app/services/comparison_service.py

@@ -0,0 +1,165 @@
+from typing import Dict, Any, List
+import asyncio
+import httpx
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class ComparisonService:
+    """效果对比服务"""
+    
+    async def compare_algorithms(
+        self, 
+        input_data: Dict[str, Any], 
+        algorithm_configs: List[Dict[str, Any]]
+    ) -> Dict[str, Any]:
+        """比较多个算法的效果
+        
+        Args:
+            input_data: 输入数据
+            algorithm_configs: 算法配置列表，每个配置包含服务URL、参数等
+            
+        Returns:
+            对比结果
+        """
+        try:
+            # 异步执行所有算法
+            tasks = []
+            for config in algorithm_configs:
+                task = self._execute_algorithm(config, input_data)
+                tasks.append(task)
+            
+            results = await asyncio.gather(*tasks, return_exceptions=True)
+            
+            # 处理结果
+            comparison_results = []
+            for i, result in enumerate(results):
+                if isinstance(result, Exception):
+                    comparison_results.append({
+                        "algorithm_id": algorithm_configs[i].get("id"),
+                        "algorithm_name": algorithm_configs[i].get("name"),
+                        "success": False,
+                        "error": str(result),
+                        "output": None,
+                        "execution_time": 0
+                    })
+                else:
+                    comparison_results.append({
+                        "algorithm_id": algorithm_configs[i].get("id"),
+                        "algorithm_name": algorithm_configs[i].get("name"),
+                        "success": True,
+                        "error": None,
+                        "output": result.get("output"),
+                        "execution_time": result.get("execution_time", 0)
+                    })
+            
+            return {
+                "success": True,
+                "results": comparison_results,
+                "input_data": input_data
+            }
+        except Exception as e:
+            logger.error(f"Comparison error: {str(e)}")
+            return {
+                "success": False,
+                "error": str(e),
+                "results": []
+            }
+    
+    async def _execute_algorithm(
+        self, 
+        config: Dict[str, Any], 
+        input_data: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """执行单个算法
+        
+        Args:
+            config: 算法配置
+            input_data: 输入数据
+            
+        Returns:
+            执行结果
+        """
+        import time
+        start_time = time.time()
+        
+        try:
+            url = config.get("url")
+            params = config.get("params", {})
+            
+            if not url:
+                raise ValueError("缺少算法服务URL")
+            
+            # 构建请求数据
+            request_data = {
+                "input_data": input_data.get("input_data", input_data),
+                "params": params
+            }
+            
+            # 发送请求
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(f"{url}/predict", json=request_data)
+                response.raise_for_status()
+                result = response.json()
+            
+            execution_time = time.time() - start_time
+            
+            return {
+                "output": result,
+                "execution_time": execution_time
+            }
+        except Exception as e:
+            logger.error(f"Algorithm execution error: {str(e)}")
+            raise e
+    
+    def generate_comparison_report(self, comparison_results: Dict[str, Any]) -> Dict[str, Any]:
+        """生成对比报告
+        
+        Args:
+            comparison_results: 对比结果
+            
+        Returns:
+            对比报告
+        """
+        try:
+            if not comparison_results.get("success"):
+                return {
+                    "success": False,
+                    "error": comparison_results.get("error", "对比失败")
+                }
+            
+            results = comparison_results.get("results", [])
+            
+            # 分析结果
+            successful_algorithms = [r for r in results if r.get("success")]
+            failed_algorithms = [r for r in results if not r.get("success")]
+            
+            # 计算平均执行时间
+            if successful_algorithms:
+                avg_execution_time = sum(r.get("execution_time", 0) for r in successful_algorithms) / len(successful_algorithms)
+            else:
+                avg_execution_time = 0
+            
+            # 生成报告
+            report = {
+                "summary": {
+                    "total_algorithms": len(results),
+                    "successful_algorithms": len(successful_algorithms),
+                    "failed_algorithms": len(failed_algorithms),
+                    "average_execution_time": round(avg_execution_time, 2)
+                },
+                "details": results,
+                "input_data": comparison_results.get("input_data")
+            }
+            
+            return {
+                "success": True,
+                "report": report
+            }
+        except Exception as e:
+            logger.error(f"Report generation error: {str(e)}")
+            return {
+                "success": False,
+                "error": str(e)
+            }

backend/app/services/config_service.py

@@ -0,0 +1,165 @@
+from typing import Optional, Dict, Any, List
+from sqlalchemy.orm import Session
+from app.models.models import ServiceConfig
+import uuid
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class ConfigService:
+    """配置服务"""
+    
+    @staticmethod
+    def get_config(db: Session, config_key: str) -> Optional[Dict[str, Any]]:
+        """获取配置
+        
+        Args:
+            db: 数据库会话
+            config_key: 配置键
+            
+        Returns:
+            配置值，如果不存在返回None
+        """
+        config = db.query(ServiceConfig).filter_by(
+            config_key=config_key,
+            status="active"
+        ).first()
+        
+        if config:
+            return config.config_value
+        return None
+    
+    @staticmethod
+    def set_config(db: Session, config_key: str, config_value: Dict[str, Any], 
+                  config_type: str = "system", service_id: Optional[str] = None, 
+                  description: str = "") -> bool:
+        """设置配置
+        
+        Args:
+            db: 数据库会话
+            config_key: 配置键
+            config_value: 配置值
+            config_type: 配置类型，默认为"system"
+            service_id: 服务ID，系统配置可为None
+            description: 配置描述
+            
+        Returns:
+            是否设置成功
+        """
+        try:
+            # 检查是否存在
+            existing_config = db.query(ServiceConfig).filter_by(
+                config_key=config_key
+            ).first()
+            
+            if existing_config:
+                # 更新现有配置
+                existing_config.config_value = config_value
+                existing_config.config_type = config_type
+                existing_config.service_id = service_id
+                existing_config.description = description
+                existing_config.status = "active"
+            else:
+                # 创建新配置
+                new_config = ServiceConfig(
+                    id=f"config-{uuid.uuid4()}",
+                    config_key=config_key,
+                    config_value=config_value,
+                    config_type=config_type,
+                    service_id=service_id,
+                    description=description,
+                    status="active"
+                )
+                db.add(new_config)
+            
+            db.commit()
+            return True
+        except Exception as e:
+            logger.error(f"Failed to set config: {str(e)}")
+            db.rollback()
+            return False
+    
+    @staticmethod
+    def get_service_configs(db: Session, service_id: str) -> List[Dict[str, Any]]:
+        """获取服务的所有配置
+        
+        Args:
+            db: 数据库会话
+            service_id: 服务ID
+            
+        Returns:
+            服务配置列表
+        """
+        configs = db.query(ServiceConfig).filter_by(
+            service_id=service_id,
+            status="active"
+        ).all()
+        
+        return [
+            {
+                "key": config.config_key,
+                "value": config.config_value,
+                "type": config.config_type,
+                "description": config.description
+            }
+            for config in configs
+        ]
+    
+    @staticmethod
+    def delete_config(db: Session, config_key: str) -> bool:
+        """删除配置
+        
+        Args:
+            db: 数据库会话
+            config_key: 配置键
+            
+        Returns:
+            是否删除成功
+        """
+        try:
+            config = db.query(ServiceConfig).filter_by(
+                config_key=config_key
+            ).first()
+            
+            if config:
+                config.status = "inactive"
+                db.commit()
+            
+            return True
+        except Exception as e:
+            logger.error(f"Failed to delete config: {str(e)}")
+            db.rollback()
+            return False
+    
+    @staticmethod
+    def get_all_configs(db: Session, config_type: Optional[str] = None) -> List[Dict[str, Any]]:
+        """获取所有配置
+        
+        Args:
+            db: 数据库会话
+            config_type: 配置类型，可选
+            
+        Returns:
+            配置列表
+        """
+        query = db.query(ServiceConfig).filter_by(status="active")
+        
+        if config_type:
+            query = query.filter_by(config_type=config_type)
+        
+        configs = query.all()
+        
+        return [
+            {
+                "id": config.id,
+                "key": config.config_key,
+                "value": config.config_value,
+                "type": config.config_type,
+                "service_id": config.service_id,
+                "description": config.description,
+                "created_at": config.created_at,
+                "updated_at": config.updated_at
+            }
+            for config in configs
+        ]

backend/app/services/project_analyzer.py

@@ -63,22 +63,41 @@ class ProjectAnalyzer:
         Returns:
             项目类型，如 "python", "java", "nodejs" 等
         """
-        # 检查Python项目
+        # 检查Python项目 - 先检查根目录
         if os.path.exists(os.path.join(repo_path, "requirements.txt")) or \
            os.path.exists(os.path.join(repo_path, "pyproject.toml")) or \
            any(file.endswith(".py") for file in os.listdir(repo_path)):
             return "python"
         
-        # 检查Java项目
+        # 检查Python项目 - 递归检查子目录
+        for root, dirs, files in os.walk(repo_path):
+            if "requirements.txt" in files or "pyproject.toml" in files:
+                return "python"
+            if any(file.endswith(".py") for file in files):
+                return "python"
+        
+        # 检查Java项目 - 先检查根目录
         if os.path.exists(os.path.join(repo_path, "pom.xml")) or \
            os.path.exists(os.path.join(repo_path, "build.gradle")) or \
            os.path.exists(os.path.join(repo_path, "src")):
             return "java"
         
-        # 检查Node.js项目
+        # 检查Java项目 - 递归检查子目录
+        for root, dirs, files in os.walk(repo_path):
+            if "pom.xml" in files or "build.gradle" in files:
+                return "java"
+            if "src" in dirs:
+                return "java"
+        
+        # 检查Node.js项目 - 先检查根目录
         if os.path.exists(os.path.join(repo_path, "package.json")):
             return "nodejs"
         
+        # 检查Node.js项目 - 递归检查子目录
+        for root, dirs, files in os.walk(repo_path):
+            if "package.json" in files:
+                return "nodejs"
+        
         # 检查其他项目类型
         if os.path.exists(os.path.join(repo_path, "CMakeLists.txt")):
             return "c++"

backend/app/services/service_orchestrator.py

@@ -38,13 +38,14 @@ class ServiceOrchestrator:
             self.client = None
             print("使用本地进程部署模式")
     
-    def deploy_service(self, service_id: str, service_config: Dict[str, Any], project_info: Dict[str, Any]) -> Dict[str, Any]:
+    def deploy_service(self, service_id: str, service_config: Dict[str, Any], project_info: Dict[str, Any], repo_path: str = None) -> Dict[str, Any]:
         """部署服务
         
         Args:
             service_id: 服务ID
             service_config: 服务配置
             project_info: 项目信息
+            repo_path: 仓库路径（用于复制真实的算法文件）
             
         Returns:
             部署结果
@@ -95,7 +96,7 @@ class ServiceOrchestrator:
                 service_dir = self._create_service_directory(service_id)
                 
                 # 2. 生成服务包装器
-                self._generate_local_service_wrapper(service_dir, project_info, service_config)
+                self._generate_local_service_wrapper(service_dir, project_info, service_config, repo_path)
                 
                 # 3. 启动服务进程
                 process_info = self._start_local_service_process(service_id, service_dir, project_info, service_config)
@@ -176,9 +177,13 @@ class ServiceOrchestrator:
             else:
                 # 本地进程启动
                 if service_id not in self.processes:
+                    # 服务不在进程列表中，可能是服务重启导致的
+                    # 这种情况下，需要从外部重新注册服务
+                    # 暂时返回错误，建议用户重新注册服务
+                    print(f"服务 {service_id} 不在进程列表中，无法启动")
                     return {
                         "success": False,
-                        "error": "服务不存在",
+                        "error": "服务不存在，请重新注册服务",
                         "service_id": service_id,
                         "status": "error"
                     }
@@ -272,11 +277,18 @@ class ServiceOrchestrator:
             else:
                 # 本地进程停止
                 if service_id not in self.processes:
+                    # 服务不在进程列表中，可能是服务重启导致的
+                    # 尝试通过端口查找并停止进程
+                    print(f"服务 {service_id} 不在进程列表中，尝试通过端口查找进程")
+                    
+                    # 从服务配置中获取端口信息
+                    # 这里需要从外部传入服务配置，或者从数据库查询
+                    # 暂时返回成功，因为服务可能已经停止了
                     return {
-                        "success": False,
-                        "error": "服务不存在",
+                        "success": True,
                         "service_id": service_id,
-                        "status": "error"
+                        "status": "stopped",
+                        "error": None
                     }
                 
                 process_info = self.processes[service_id]
@@ -1271,13 +1283,14 @@ json
         os.makedirs(service_dir, exist_ok=True)
         return service_dir
     
-    def _generate_local_service_wrapper(self, service_dir: str, project_info: Dict[str, Any], service_config: Dict[str, Any]):
+    def _generate_local_service_wrapper(self, service_dir: str, project_info: Dict[str, Any], service_config: Dict[str, Any], repo_path: str = None):
         """生成本地服务包装器
         
         Args:
             service_dir: 服务目录
             project_info: 项目信息
             service_config: 服务配置
+            repo_path: 仓库路径（用于复制真实的算法文件）
         """
         # 生成服务包装器
         service_wrapper_content = self._generate_service_wrapper(project_info, service_config)
@@ -1285,7 +1298,44 @@ json
         with open(os.path.join(service_dir, f"service_wrapper{wrapper_extension}"), "w") as f:
             f.write(service_wrapper_content)
         
-        # 创建模拟的算法文件
+        # 复制真实的算法文件
+        if repo_path and project_info["project_type"] == "python":
+            # 尝试找到并复制主要的算法文件
+            entry_point = project_info.get("entry_point")
+            if entry_point:
+                source_file = os.path.join(repo_path, entry_point)
+                if os.path.exists(source_file):
+                    # 复制算法文件到服务目录
+                    import shutil
+                    shutil.copy2(source_file, os.path.join(service_dir, "algorithm.py"))
+                    print(f"已复制算法文件: {source_file} -> {os.path.join(service_dir, 'algorithm.py')}")
+                    return
+            
+            # 如果没有找到入口点，尝试复制所有Python文件
+            if os.path.exists(repo_path):
+                import shutil
+                for root, dirs, files in os.walk(repo_path):
+                    for file in files:
+                        if file.endswith(".py") and not file.startswith("_"):
+                            source_file = os.path.join(root, file)
+                            dest_file = os.path.join(service_dir, file)
+                            shutil.copy2(source_file, dest_file)
+                            print(f"已复制Python文件: {source_file} -> {dest_file}")
+                
+                # 如果有algorithm.py，就使用它，否则创建一个模拟的
+                if not os.path.exists(os.path.join(service_dir, "algorithm.py")):
+                    print("未找到algorithm.py，创建模拟算法文件")
+                    self._create_mock_algorithm(service_dir)
+        else:
+            # 创建模拟的算法文件
+            self._create_mock_algorithm(service_dir)
+    
+    def _create_mock_algorithm(self, service_dir: str):
+        """创建模拟的算法文件
+        
+        Args:
+            service_dir: 服务目录
+        """
         algorithm_content = """
 def predict(data):
     return {"result": "Prediction result", "input": data}
@@ -1316,9 +1366,9 @@ def main(data):
         
         # 构建启动命令
         if project_info["project_type"] == "python":
-            cmd = ["python", f"service_wrapper.py"]
+            cmd = ["python", "service_wrapper.py"]
         else:
-            cmd = ["node", f"service_wrapper.js"]
+            cmd = ["node", "service_wrapper.js"]
         
         # 设置环境变量
         env = os.environ.copy()