hack/tools/scripts/llm-key-hunter/results/_cache/content/cao-r_wanjie-manyou.json

{"repo": "cao-r/wanjie-manyou", "files": {"app/config.py": {"9af9ee2cee2da28ea5695dbc4ea6bfa4c5f3fae6": {"t": 1786068483.1463318, "n": 3607, "h": "0c28528bfed4e6b5", "c": "\"\"\"应用配置管理\"\"\"\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\nfrom pydantic import Field\nfrom typing import Optional\nimport os\n\n\nclass Settings(BaseSettings):\n    \"\"\"应用配置\"\"\"\n    \n    model_config = SettingsConfigDict(\n        env_file=\".env\",\n        env_file_encoding=\"utf-8\",\n        case_sensitive=False,\n        extra=\"ignore\"\n    )\n    \n    # 应用配置\n    APP_NAME: str = \"万界漫游：小说潜入者\"\n    APP_VERSION: str = \"1.0.0\"\n    DEBUG: bool = False\n    \n    # LLM配置\n    LLM_PROVIDER: str = Field(default=\"deepseek\", description=\"LLM提供商: deepseek/openai/ollama\")\n    LLM_MODEL: str = Field(default=\"deepseek-chat\", description=\"LLM模型名称\")\n    LLM_BASE_URL: str = Field(default=\"https://api.deepseek.com\", description=\"LLM服务地址\")\n    LLM_API_KEY: Optional[str] = Field(default=None, description=\"API密钥\")\n    LLM_TEMPERATURE: float = Field(default=0.7, ge=0.0, le=2.0)\n    LLM_MAX_TOKENS: int = Field(default=4096, ge=100, le=128000)\n    \n    # Embedding配置\n    EMBEDDING_PROVIDER: str = Field(default=\"sentence-transformers\", description=\"Embedding提供商\")\n    EMBEDDING_MODEL: str = Field(default=\"paraphrase-multilingual-MiniLM-L12-v2\", description=\"Embedding模型\")\n    EMBEDDING_DIMENSION: int = Field(default=384, description=\"Embedding维度\")\n    \n    # 向量数据库配置\n    CHROMA_PERSIST_DIR: str = Field(default=\"./data/chroma\", description=\"Chroma数据目录\")\n    \n    # Redis配置\n    REDIS_HOST: str = Field(default=\"localhost\")\n    REDIS_PORT: int = Field(default=6379)\n    REDIS_DB: int = Field(default=0)\n    \n    # 游戏配置\n    MAX_CONTEXT_TOKENS: int = Field(default=32000, description=\"最大上下文Token数\")\n    SUMMARY_THRESHOLD: int = Field(default=24000, description=\"摘要触发阈值\")\n    MAX_RETRIES: int = Field(default=3, description=\"LLM调用最大重试次数\")\n    DEFAULT_CHUNK_SIZE: int = Field(default=4000, description=\"默认切片大小\")\n    DEFAULT_CHUNK_OVERLAP: int = Field(default=400, description=\"默认切片重叠\")\n    \n    # 世界观概要配置\n    WORLD_SUMMARY_MAX_TOKENS: int = Field(default=500, description=\"世界观概要最大Token数\")\n    EXTRACT_LOCATIONS: bool = Field(default=True)\n    EXTRACT_FACTIONS: bool = Field(default=True)\n    EXTRACT_CHARACTERS: bool = Field(default=True)\n    EXTRACT_RULES: bool = Field(default=True)\n    \n    # NPC配置\n    NPC_MIN_TRAITS: int = Field(default=2, ge=1, le=5, description=\"NPC最少性格标签数\")\n    NPC_MAX_TRAITS: int = Field(default=3, ge=1, le=5, description=\"NPC最多性格标签数\")\n    \n    # DM配置\n    DM_ACTION_TIMEOUT: int = Field(default=120, description=\"DM行动判定超时(秒)\")\n    DM_RECOMMENDED_OPTIONS: int = Field(default=3, description=\"DM推荐选项数量\")\n    \n    # 对话配置\n    DIALOGUE_MAX_TURNS: int = Field(default=20, description=\"单次对话最大轮次\")\n    SENTIMENT_EVAL_INTERVAL: int = Field(default=1, description=\"情感评估间隔\")\n    \n    # 数据库配置\n    SQLITE_PATH: str = Field(default=\"./data/wanjie.db\")\n    \n    # 日志配置\n    LOG_LEVEL: str = Field(default=\"INFO\")\n    LOG_DIR: str = Field(default=\"./logs\")\n    \n    def get_llm_config(self) -> dict:\n        \"\"\"获取LLM配置\"\"\"\n        return {\n            \"provider\": self.LLM_PROVIDER,\n            \"model\": self.LLM_MODEL,\n            \"base_url\": self.LLM_BASE_URL,\n            \"api_key\": self.LLM_API_KEY,\n            \"temperature\": self.LLM_TEMPERATURE,\n            \"max_tokens\": self.LLM_MAX_TOKENS,\n        }\n    \n    def ensure_directories(self):\n        \"\"\"确保必要目录存在\"\"\"\n        dirs = [\n            self.CHROMA_PERSIST_DIR,\n            os.path.dirname(self.SQLITE_PATH) if os.path.dirname(self.SQLITE_PATH) else \"./data\",\n            self.LOG_DIR,\n        ]\n        for d in dirs:\n            if d:\n                os.makedirs(d, exist_ok=True)\n\n\n# 全局配置实例\nsettings = Settings()\nsettings.ensure_directories()\n"}}}}