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from datetime import datetime, timezone
from typing import Any, Dict, Optional
from app.config.config import settings
from app.log.logger import get_model_logger
from app.service.client.api_client import GeminiApiClient
logger = get_model_logger()
class ModelService:
async def get_gemini_models(self, api_key: str) -> Optional[Dict[str, Any]]:
api_client = GeminiApiClient(base_url=settings.BASE_URL)
gemini_models = await api_client.get_models(api_key)
if gemini_models is None:
logger.error("从 API 客户端获取模型列表失败。")
return None
try:
filtered_models_list = []
for model in gemini_models.get("models", []):
model_id = model["name"].split("/")[-1]
if model_id not in settings.FILTERED_MODELS:
filtered_models_list.append(model)
else:
logger.debug(f"Filtered out model: {model_id}")
gemini_models["models"] = filtered_models_list
return gemini_models
except Exception as e:
logger.error(f"处理模型列表时出错: {e}")
return None
async def get_gemini_openai_models(self, api_key: str) -> Optional[Dict[str, Any]]:
"""获取 Gemini 模型并转换为 OpenAI 格式"""
gemini_models = await self.get_gemini_models(api_key)
if gemini_models is None:
return None
return await self.convert_to_openai_models_format(gemini_models)
async def convert_to_openai_models_format(
self, gemini_models: Dict[str, Any]
) -> Dict[str, Any]:
openai_format = {"object": "list", "data": [], "success": True}
for model in gemini_models.get("models", []):
model_id = model["name"].split("/")[-1]
openai_model = {
"id": model_id,
"object": "model",
"created": int(datetime.now(timezone.utc).timestamp()),
"owned_by": "google",
"permission": [],
"root": model["name"],
"parent": None,
}
openai_format["data"].append(openai_model)
if model_id in settings.SEARCH_MODELS:
search_model = openai_model.copy()
search_model["id"] = f"{model_id}-search"
openai_format["data"].append(search_model)
if model_id in settings.IMAGE_MODELS:
image_model = openai_model.copy()
image_model["id"] = f"{model_id}-image"
openai_format["data"].append(image_model)
if model_id in settings.THINKING_MODELS:
non_thinking_model = openai_model.copy()
non_thinking_model["id"] = f"{model_id}-non-thinking"
openai_format["data"].append(non_thinking_model)
if settings.CREATE_IMAGE_MODEL:
image_model = openai_model.copy()
image_model["id"] = f"{settings.CREATE_IMAGE_MODEL}-chat"
openai_format["data"].append(image_model)
return openai_format
async def check_model_support(self, model: str) -> bool:
if not model or not isinstance(model, str):
return False
model = model.strip()
if model.endswith("-search"):
model = model[:-7]
return model in settings.SEARCH_MODELS
if model.endswith("-image"):
model = model[:-6]
return model in settings.IMAGE_MODELS
return model not in settings.FILTERED_MODELS
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