backend/app/services/model.py

from app.db.model_dao import insert_model, get_all_models, get_model_by_provider_and_name, delete_model
from app.db.provider_dao import get_enabled_providers
from app.enmus.exception import ProviderErrorEnum
from app.exceptions.provider import ProviderError
from app.gpt.gpt_factory import GPTFactory
from app.gpt.provider.OpenAI_compatible_provider import OpenAICompatibleProvider
from app.models.model_config import ModelConfig
from app.services.provider import ProviderService
from app.utils.logger import get_logger

logger=get_logger(__name__)
class ModelService:

    @staticmethod
    def _build_model_config(provider: dict) -> ModelConfig:
        return ModelConfig(
            api_key=provider["api_key"],
            base_url=provider["base_url"],
            provider=provider["name"],
            model_name='',
            name=provider["name"],
        )

    @staticmethod
    def get_model_list(provider_id: int, verbose: bool = False):
        provider = ProviderService.get_provider_by_id(provider_id)
        if not provider:
            return []

        try:
            config = ModelService._build_model_config(provider)
            gpt = GPTFactory().from_config(config)
            models = gpt.list_models()
            if verbose:
                print(f"[{provider['name']}] 模型列表: {models}")
            return models
        except Exception as e:
            print(f"[{provider['name']}] 获取模型失败: {e}")
            return []

    @staticmethod
    def get_all_models(verbose: bool = False):
        try:
            raw_models = get_all_models()
            if verbose:
                print(f"所有模型列表: {raw_models}")
            return ModelService._format_models(raw_models)
        except Exception as e:
            print(f"获取所有模型失败: {e}")
            return []
    @staticmethod
    def get_all_models_safe(verbose: bool = False):
        try:
            raw_models = get_all_models()
            if verbose:
                print(f"所有模型列表: {raw_models}")
            return ModelService._format_models(raw_models)
        except Exception as e:
            print(f"获取所有模型失败: {e}")
            return []
    @staticmethod
    def _format_models(raw_models: list) -> list:
        """
        格式化模型列表
        """
        formatted = []
        for model in raw_models:
            formatted.append({
                "id": model.get("id"),
                "provider_id": model.get("provider_id"),
                "model_name": model.get("model_name"),
                "created_at": model.get("created_at", None),  # 如果有created_at字段
            })
        return formatted

    @staticmethod
    def _extract_remote_models(raw_models) -> list:
        if raw_models is None:
            return []
        if isinstance(raw_models, dict):
            raw_models = raw_models.get("data", raw_models.get("models", raw_models))
        elif hasattr(raw_models, "data"):
            raw_models = raw_models.data

        if isinstance(raw_models, list):
            return raw_models
        return []

    @staticmethod
    def _serialize_remote_model(model) -> dict:
        if isinstance(model, dict):
            return model
        if hasattr(model, "model_dump"):
            return model.model_dump()
        if hasattr(model, "dict"):
            return model.dict()

        model_id = getattr(model, "id", None)
        if model_id:
            return {
                "id": model_id,
                "object": getattr(model, "object", "model"),
                "created": getattr(model, "created", None),
                "owned_by": getattr(model, "owned_by", None),
            }
        return {}

    @staticmethod
    def get_enabled_models_by_provider( provider_id: str|int,):
        from app.db.model_dao import get_models_by_provider

        all_models = get_models_by_provider(provider_id)
        enabled_models = all_models
        return enabled_models
    @staticmethod
    def get_all_models_by_id(provider_id: str, verbose: bool = False):
        try:
            provider = ProviderService.get_provider_by_id(provider_id)

            models = ModelService.get_model_list(provider["id"], verbose=verbose)
            remote_models = ModelService._extract_remote_models(models)
            serializable_models = [
                item
                for item in (ModelService._serialize_remote_model(model) for model in remote_models)
                if item.get("id")
            ]
            model_list = {
                "models": serializable_models
            }

            logger.info(f"[{provider['name']}] 获取模型成功")
            return model_list
        except Exception as e:
            # print(f"[{provider_id}] 获取模型失败: {e}")
            logger.error(f"[{provider_id}] 获取模型失败: {e}")
            return []
    @staticmethod
    def connect_test(id: str, model: str | None = None) -> bool:
        """连通性测试：发一条最小化 chat completion。

        model 优先级：
          1. 调用方显式传入（前端可在「模型选择」UI 里挑一个再测）
          2. DB 中该 provider 已保存的第一个模型
          3. 都没有 → 抛错让用户先加一个模型
        """
        provider = ProviderService.get_provider_by_id(id)
        if not provider:
            raise ProviderError(
                code=ProviderErrorEnum.NOT_FOUND.code,
                message=ProviderErrorEnum.NOT_FOUND.message,
            )
        if not provider.get('api_key'):
            raise ProviderError(
                code=ProviderErrorEnum.NOT_FOUND.code,
                message=ProviderErrorEnum.NOT_FOUND.message,
            )

        if not model:
            saved_models = ModelService.get_enabled_models_by_provider(provider["id"])
            if not saved_models:
                raise ProviderError(
                    code=ProviderErrorEnum.WRONG_PARAMETER.code,
                    message="请先为该供应商添加至少一个模型再测试连通性",
                )
            model = saved_models[0]["model_name"]

        ok = OpenAICompatibleProvider.test_connection(
            api_key=provider.get('api_key'),
            base_url=provider.get('base_url'),
            model=model,
        )
        if ok:
            return True
        raise ProviderError(
            code=ProviderErrorEnum.WRONG_PARAMETER.code,
            message=ProviderErrorEnum.WRONG_PARAMETER.message,
        )



    @staticmethod
    def delete_model_by_id( model_id: int) -> bool:
        try:
            delete_model(model_id)
            return True
        except Exception as e:
            print(f"[{model_id}] <UNK>: {e}")
            return False
    @staticmethod
    def add_new_model(provider_id: int, model_name: str) -> bool:
        try:
            # 先查供应商是否存在
            provider = ProviderService.get_provider_by_id(provider_id)
            if not provider:
                print(f"供应商ID {provider_id} 不存在，无法添加模型")
                return False

            # 查询是否已存在同名模型
            existing = get_model_by_provider_and_name(provider_id, model_name)
            if existing:
                print(f"模型 {model_name} 已存在于供应商ID {provider_id} 下，跳过插入")
                return False

            # 插入模型
            insert_model(provider_id=provider_id, model_name=model_name)
            print(f"模型 {model_name} 已成功添加到供应商ID {provider_id}")
            return True
        except Exception as e:
            print(f"添加模型失败: {e}")
            return False

if __name__ == '__main__':
    # 单个 Provider 测试
    print(ModelService.get_model_list(1, verbose=True))

    # 所有 Provider 模型测试
    # print(ModelService.get_all_models(verbose=True))