537d682861
2. 全项目基于loguru进行日志管理
84 lines
6.2 KiB
Python
84 lines
6.2 KiB
Python
"""
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Configuration management module for the Media Engine (pydantic_settings style).
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"""
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from pathlib import Path
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from pydantic_settings import BaseSettings
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from pydantic import Field
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from typing import Optional
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# 计算 .env 优先级:优先当前工作目录,其次项目根目录
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PROJECT_ROOT: Path = Path(__file__).resolve().parents[2]
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CWD_ENV: Path = Path.cwd() / ".env"
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ENV_FILE: str = str(CWD_ENV if CWD_ENV.exists() else (PROJECT_ROOT / ".env"))
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class Settings(BaseSettings):
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"""
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全局配置;支持 .env 和环境变量自动加载。
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变量名与原 config.py 大写一致,便于平滑过渡。
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"""
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# ====================== 数据库配置 ======================
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DB_HOST: str = Field("your_db_host", description="数据库主机,例如localhost 或 127.0.0.1。我们也提供云数据库资源便捷配置,日均10w+数据,可免费申请,联系我们:670939375@qq.com NOTE:为进行数据合规性审查与服务升级,云数据库自2025年10月1日起暂停接收新的使用申请")
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DB_PORT: int = Field(3306, description="数据库端口号,默认为3306")
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DB_USER: str = Field("your_db_user", description="数据库用户名")
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DB_PASSWORD: str = Field("your_db_password", description="数据库密码")
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DB_NAME: str = Field("your_db_name", description="数据库名称")
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DB_CHARSET: str = Field("utf8mb4", description="数据库字符集,推荐utf8mb4,兼容emoji")
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DB_DIALECT: str = Field("mysql", description="数据库类型,例如 'mysql' 或 'postgresql'。用于支持多种数据库后端(如 SQLAlchemy,请与连接信息共同配置)")
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# ======================= LLM 相关 =======================
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INSIGHT_ENGINE_API_KEY: str = Field(None, description="Insight Agent(推荐Kimi,https://platform.moonshot.cn/)API密钥,用于主LLM。您可以更改每个部分LLM使用的API,🚩只要兼容OpenAI请求格式都可以,定义好KEY、BASE_URL与MODEL_NAME即可正常使用。重要提醒:我们强烈推荐您先使用推荐的配置申请API,先跑通再进行您的更改!")
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INSIGHT_ENGINE_BASE_URL: Optional[str] = Field("https://api.moonshot.cn/v1", description="Insight Agent LLM接口BaseUrl,可自定义厂商API")
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INSIGHT_ENGINE_MODEL_NAME: str = Field("kimi-k2-0711-preview", description="Insight Agent LLM模型名称,如kimi-k2-0711-preview")
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MEDIA_ENGINE_API_KEY: str = Field(None, description="Media Agent(推荐Gemini,这里我用了一个中转厂商,你也可以换成你自己的,申请地址:https://www.chataiapi.com/)API密钥")
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MEDIA_ENGINE_BASE_URL: Optional[str] = Field("https://www.chataiapi.com/v1", description="Media Agent LLM接口BaseUrl")
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MEDIA_ENGINE_MODEL_NAME: str = Field("gemini-2.5-pro", description="Media Agent LLM模型名称,如gemini-2.5-pro")
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BOCHA_WEB_SEARCH_API_KEY: Optional[str] = Field(None, description="Bocha Web Search API Key")
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BOCHA_API_KEY: Optional[str] = Field(None, description="Bocha 兼容键(别名)")
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SEARCH_TIMEOUT: int = Field(240, description="搜索超时(秒)")
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SEARCH_CONTENT_MAX_LENGTH: int = Field(20000, description="用于提示的最长内容长度")
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MAX_REFLECTIONS: int = Field(2, description="最大反思轮数")
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MAX_PARAGRAPHS: int = Field(5, description="最大段落数")
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MINDSPIDER_API_KEY: Optional[str] = Field(None, description="MindSpider API密钥")
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MINDSPIDER_BASE_URL: Optional[str] = Field("https://api.deepseek.com", description="MindSpider LLM接口BaseUrl")
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MINDSPIDER_MODEL_NAME: str = Field("deepseek-reasoner", description="MindSpider LLM模型名称,如deepseek-reasoner")
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OUTPUT_DIR: str = Field("reports", description="输出目录")
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SAVE_INTERMEDIATE_STATES: bool = Field(True, description="是否保存中间状态")
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QUERY_ENGINE_API_KEY: str = Field(None, description="Query Agent(推荐DeepSeek,https://www.deepseek.com/)API密钥")
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QUERY_ENGINE_BASE_URL: Optional[str] = Field("https://api.deepseek.com", description="Query Agent LLM接口BaseUrl")
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QUERY_ENGINE_MODEL_NAME: str = Field("deepseek-reasoner", description="Query Agent LLM模型,如deepseek-reasoner")
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REPORT_ENGINE_API_KEY: str = Field(None, description="Report Agent(推荐Gemini,这里我用了一个中转厂商,你也可以换成你自己的,申请地址:https://www.chataiapi.com/)API密钥")
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REPORT_ENGINE_BASE_URL: Optional[str] = Field("https://www.chataiapi.com/v1", description="Report Agent LLM接口BaseUrl")
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REPORT_ENGINE_MODEL_NAME: str = Field("gemini-2.5-pro", description="Report Agent LLM模型,如gemini-2.5-pro")
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FORUM_HOST_API_KEY: str = Field(None, description="Forum Host(Qwen3最新模型,这里我使用了硅基流动这个平台,申请地址:https://cloud.siliconflow.cn/)API密钥")
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FORUM_HOST_BASE_URL: Optional[str] = Field("https://api.siliconflow.cn/v1", description="Forum Host LLM BaseUrl")
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FORUM_HOST_MODEL_NAME: str = Field("Qwen/Qwen3-235B-A22B-Instruct-2507", description="Forum Host LLM模型名,如Qwen/Qwen3-235B-A22B-Instruct-2507")
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KEYWORD_OPTIMIZER_API_KEY: str = Field(None, description="SQL keyword Optimizer(小参数Qwen3模型,这里我使用了硅基流动这个平台,申请地址:https://cloud.siliconflow.cn/)API密钥")
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KEYWORD_OPTIMIZER_BASE_URL: Optional[str] = Field("https://api.siliconflow.cn/v1", description="Keyword Optimizer BaseUrl")
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KEYWORD_OPTIMIZER_MODEL_NAME: str = Field("Qwen/Qwen3-30B-A3B-Instruct-2507", description="Keyword Optimizer LLM模型名称,如Qwen/Qwen3-30B-A3B-Instruct-2507")
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# ================== 网络工具配置 ====================
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TAVILY_API_KEY: str = Field(None, description="Tavily API(申请地址:https://www.tavily.com/)API密钥,用于Tavily网络搜索")
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BOCHA_BASE_URL: Optional[str] = Field("https://api.bochaai.com/v1/ai-search", description="Bocha AI 搜索BaseUrl或博查网页搜索BaseUrl")
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BOCHA_WEB_SEARCH_API_KEY: str = Field(None, description="Bocha API(申请地址:https://open.bochaai.com/)API密钥,用于Bocha搜索")
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class Config:
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env_file = ENV_FILE
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env_prefix = ""
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case_sensitive = False
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extra = "allow"
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settings = Settings()
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