feat: 更新LLM配置管理和错误处理逻辑
- 修改create_llm_config函数，改为使用require_authenticated_user进行用户验证 - 优化配置名称检查，支持不区分大小写的比较 - 更新API密钥验证逻辑，允许本地服务使用较短的API密钥 - 改进HxfErrorResponse类，增强异常处理和状态码管理 - 更新数据库文件和二进制数据，确保数据一致性
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eason
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db8cc75ff5
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@ -152,47 +152,20 @@ async def get_llm_config(
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async def create_llm_config(
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config_data: LLMConfigCreate,
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session: Session = Depends(get_session),
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current_user: User = Depends(require_super_admin)
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current_user: User = Depends(require_authenticated_user)
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):
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"""创建大模型配置."""
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# 检查配置名称是否已存在
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# 检查配置名称是否已存在（不区分大小写）
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# 先保存当前用户名，避免在refresh后访问可能导致MissingGreenlet错误
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username = current_user.username
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session.desc = f"START: 创建大模型配置, name={config_data.name}"
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stmt = select(LLMConfig).where(LLMConfig.name == config_data.name)
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stmt = select(LLMConfig).where(LLMConfig.name.ilike(config_data.name))
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existing_config = (await session.execute(stmt)).scalar_one_or_none()
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if existing_config:
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session.desc = f"ERROR: 配置名称已存在, name={config_data.name}"
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session.desc = f"ERROR: 配置名称已存在, name={config_data.name} (已存在ID: {existing_config.id})"
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="配置名称已存在"
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)
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# 创建配置对象
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config = LLMConfig_DataClass(
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name=config_data.name,
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provider=config_data.provider,
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model_name=config_data.model_name,
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api_key=config_data.api_key,
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base_url=config_data.base_url,
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max_tokens=config_data.max_tokens,
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temperature=config_data.temperature,
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top_p=config_data.top_p,
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frequency_penalty=config_data.frequency_penalty,
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presence_penalty=config_data.presence_penalty,
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description=config_data.description,
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is_active=config_data.is_active,
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is_default=config_data.is_default,
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is_embedding=config_data.is_embedding,
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extra_config=config_data.extra_config or {}
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)
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# 验证配置
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validation_result = config.validate_config()
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if not validation_result['valid']:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=validation_result['error']
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detail=f"配置名称已存在（ID: {existing_config.id}）。请使用不同的名称，或更新现有配置。"
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)
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# 如果设为默认，取消同类型的其他默认配置
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@ -203,8 +176,8 @@ async def create_llm_config(
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await session.execute(stmt)
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session.desc = f"验证大模型配置, config_data"
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# 创建配置
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config = LLMConfig_DataClass(
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# 创建数据库模型对象
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config = LLMConfig(
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name=config_data.name,
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provider=config_data.provider,
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model_name=config_data.model_name,
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@ -1,7 +1,7 @@
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"""LLM Configuration Pydantic schemas."""
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from typing import Optional, Dict, Any
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from pydantic import BaseModel, Field, field_validator, computed_field
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from pydantic import BaseModel, Field, field_validator, computed_field, model_validator
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from datetime import datetime
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@ -40,12 +40,25 @@ class LLMConfigCreate(LLMConfigBase):
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raise ValueError(f'不支持的服务商: {v}，支持的服务商: {", ".join(allowed_providers)}')
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return v.lower()
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@field_validator('api_key')
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@classmethod
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def validate_api_key(cls, v: str) -> str:
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if len(v.strip()) < 10:
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raise ValueError('API密钥长度不能少于10个字符')
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return v.strip()
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@model_validator(mode='after')
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def validate_api_key_for_local_service(self):
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"""验证 API 密钥：对于本地服务允许较短的密钥"""
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# 对于本地服务（如 Ollama），API 密钥可以为空或较短
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# 检查 base_url 是否指向本地服务
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base_url = self.base_url or ''
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is_local_service = base_url and any(local in base_url.lower() for local in ['localhost', '127.0.0.1', '192.168.', '10.', '172.'])
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api_key = self.api_key.strip() if self.api_key else ''
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# 如果是本地服务，允许较短的 API 密钥（至少1个字符）
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if is_local_service:
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if len(api_key) < 1:
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raise ValueError('API密钥不能为空')
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else:
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# 对于在线服务，要求至少10个字符
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if len(api_key) < 10:
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raise ValueError('API密钥长度不能少于10个字符')
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return self
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class LLMConfigUpdate(BaseModel):
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@ -81,12 +94,29 @@ class LLMConfigUpdate(BaseModel):
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return v.lower()
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return v
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@field_validator('api_key')
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@classmethod
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def validate_api_key(cls, v: Optional[str]) -> Optional[str]:
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if v is not None and len(v.strip()) < 10:
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raise ValueError('API密钥长度不能少于10个字符')
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return v.strip() if v else v
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@model_validator(mode='after')
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def validate_api_key_for_local_service(self):
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"""验证 API 密钥：对于本地服务允许较短的密钥"""
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# 如果 api_key 不为 None，进行验证
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if self.api_key is not None:
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# 对于本地服务（如 Ollama），API 密钥可以为空或较短
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# 检查 base_url 是否指向本地服务
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base_url = self.base_url or ''
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is_local_service = base_url and any(local in base_url.lower() for local in ['localhost', '127.0.0.1', '192.168.', '10.', '172.'])
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api_key = self.api_key.strip() if self.api_key else ''
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# 如果是本地服务，允许较短的 API 密钥（至少1个字符）
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if is_local_service:
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if len(api_key) < 1:
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raise ValueError('API密钥不能为空')
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else:
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# 对于在线服务，要求至少10个字符
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if len(api_key) < 10:
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raise ValueError('API密钥长度不能少于10个字符')
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# 更新 api_key 为去除空格后的值
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self.api_key = api_key
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return self
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class LLMConfigResponse(BaseModel):
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@ -71,24 +71,30 @@ class HxfErrorResponse(JSONResponse):
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def __init__(self, message: Union[str, Exception], status_code: int = status.HTTP_401_UNAUTHORIZED):
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"""Return a JSON error response."""
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if isinstance(message, Exception):
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msg = message.message if 'message' in message.__dict__ else str(message)
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msg = message.message if hasattr(message, 'message') and 'message' in message.__dict__ else str(message)
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logger.error(f"[HxfErrorResponse] - {type(message)}, 异常: {message}")
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if isinstance(message, TypeError):
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content = {
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"code": -1,
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"status": 500,
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"data": None,
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"error": f"错误类型: {type(message)} 错误信息: {message}",
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"message": msg
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}
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else:
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# 检查异常是否有 status_code 属性（如 HTTPException）
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if hasattr(message, 'status_code'):
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error_status_code = message.status_code
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content = {
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"code": -1,
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"status": message.status_code,
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"status": error_status_code,
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"data": None,
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"error": None,
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"message": msg
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}
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status_code = error_status_code
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else:
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# 对于没有 status_code 的异常（如 AttributeError, ValueError 等），使用 500
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content = {
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"code": -1,
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"status": 500,
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"data": None,
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"error": f"错误类型: {type(message).__name__} 错误信息: {str(message)}",
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"message": msg
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}
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status_code = 500
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else:
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content = {
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"code": -1,
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