mirror of
https://github.com/snailyp/gemini-balance.git
synced 2026-05-13 17:09:55 +08:00
0dd9dd5380
将 SecurityService, ModelService, EmbeddingService 的配置依赖从构造函数注入改为直接从 app.config.config.settings 获取。 这简化了服务类的实例化过程，并实现了配置的集中管理。
93 lines
3.3 KiB
Python
93 lines
3.3 KiB
Python
from datetime import datetime, timezone
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from typing import Any, Dict, Optional
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import requests
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from app.config.config import settings
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from app.log.logger import get_model_logger
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logger = get_model_logger()
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class ModelService:
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def get_gemini_models(self, api_key: str) -> Optional[Dict[str, Any]]:
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url = f"{settings.BASE_URL}/models?key={api_key}"
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try:
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response = requests.get(url)
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if response.status_code == 200:
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gemini_models = response.json()
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filtered_models_list = []
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for model in gemini_models.get("models", []):
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model_id = model["name"].split("/")[-1]
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if model_id not in settings.FILTERED_MODELS:
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filtered_models_list.append(model)
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else:
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logger.info(f"Filtered out model: {model_id}")
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gemini_models["models"] = filtered_models_list
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return gemini_models
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else:
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logger.error(f"Error: {response.status_code}")
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logger.error(response.text)
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return None
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except requests.RequestException as e:
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logger.error(f"Request failed: {e}")
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return None
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def get_gemini_openai_models(self, api_key: str) -> Optional[Dict[str, Any]]:
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try:
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gemini_models = self.get_gemini_models(api_key)
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return self.convert_to_openai_models_format(gemini_models)
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except requests.RequestException as e:
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logger.error(f"Request failed: {e}")
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return None
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def convert_to_openai_models_format(
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self, gemini_models: Dict[str, Any]
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) -> Dict[str, Any]:
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openai_format = {"object": "list", "data": [], "success": True}
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for model in gemini_models.get("models", []):
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model_id = model["name"].split("/")[-1]
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openai_model = {
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"id": model_id,
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"object": "model",
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"created": int(datetime.now(timezone.utc).timestamp()),
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"owned_by": "google",
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"permission": [],
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"root": model["name"],
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"parent": None,
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}
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openai_format["data"].append(openai_model)
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if model_id in settings.SEARCH_MODELS:
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search_model = openai_model.copy()
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search_model["id"] = f"{model_id}-search"
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openai_format["data"].append(search_model)
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if model_id in settings.IMAGE_MODELS:
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image_model = openai_model.copy()
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image_model["id"] = f"{model_id}-image"
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openai_format["data"].append(image_model)
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if settings.CREATE_IMAGE_MODEL:
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image_model = openai_model.copy()
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image_model["id"] = f"{settings.CREATE_IMAGE_MODEL}-chat"
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openai_format["data"].append(image_model)
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return openai_format
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def check_model_support(self, model: str) -> bool:
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if not model or not isinstance(model, str):
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return False
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model = model.strip()
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if model.endswith("-search"):
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model = model[:-7]
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return model in settings.SEARCH_MODELS
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if model.endswith("-image"):
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model = model[:-6]
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return model in settings.IMAGE_MODELS
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return model not in settings.FILTERED_MODELS
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