mirror of
https://github.com/snailyp/gemini-balance.git
synced 2026-05-21 16:29:38 +08:00
2225a40bbe
- 新增 `SAFETY_SETTINGS` 配置项，允许用户通过环境变量或数据库配置 Gemini 模型的安全过滤级别。 - 更新后端服务 (`config.py`, `constants.py`, `gemini_routes.py`, `openai_routes.py`, `openai_chat_service.py`, `api_client.py`, `model_service.py`) 以支持和传递 `safety_settings` 参数。 - 在配置编辑器前端 (`config_editor.js`, `config_editor.html`) 添加了用于管理安全设置的用户界面。 - 将模型获取逻辑 (`model_service.py`, `api_client.py`) 改为异步。 - 优化 Service Worker (`service-worker.js`) 的缓存策略为 "cache then network"。 Bump version to 2.1.2
94 lines
3.6 KiB
Python
94 lines
3.6 KiB
Python
from datetime import datetime, timezone
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from typing import Any, Dict, Optional
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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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from app.service.client.api_client import GeminiApiClient
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logger = get_model_logger()
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class ModelService:
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async def get_gemini_models(self, api_key: str) -> Optional[Dict[str, Any]]:
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"""使用 GeminiApiClient 获取并过滤模型列表"""
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api_client = GeminiApiClient(base_url=settings.BASE_URL) # 实例化客户端
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gemini_models = await api_client.get_models(api_key)
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if gemini_models is None:
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logger.error("从 API 客户端获取模型列表失败。")
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return None
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try:
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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.debug(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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except Exception as e:
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logger.error(f"处理模型列表时出错: {e}")
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return None
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async def get_gemini_openai_models(self, api_key: str) -> Optional[Dict[str, Any]]:
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"""获取 Gemini 模型并转换为 OpenAI 格式"""
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gemini_models = await self.get_gemini_models(api_key)
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if gemini_models is None:
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return None
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return await self.convert_to_openai_models_format(gemini_models)
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async 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 model_id in settings.THINKING_MODELS:
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non_thinking_model = openai_model.copy()
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non_thinking_model["id"] = f"{model_id}-non-thinking"
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openai_format["data"].append(non_thinking_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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async 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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