77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
"""应用配置 — 从 .env / 环境变量加载。"""
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from pathlib import Path
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from pydantic_settings import BaseSettings
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BASE_DIR = Path(__file__).resolve().parent.parent
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class Settings(BaseSettings):
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# 应用
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APP_HOST: str = "127.0.0.1"
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APP_PORT: int = 8000
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APP_DEBUG: bool = False
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BASE_URL: str = "http://127.0.0.1:8000"
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APP_TIMEZONE: str = "Asia/Shanghai"
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# 安全
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ADMIN_USERNAME: str = "admin"
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ADMIN_PASSWORD: str = ""
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SECRET_KEY: str = "change-me"
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# HuggingFace / arXiv
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HF_API_BASE: str = "https://huggingface.co/api"
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HF_PROXY: str = ""
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TOP_N: int = 20
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HTTP_TIMEOUT_SECONDS: int = 30
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HTTP_MAX_RETRIES: int = 3
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HTTP_USER_AGENT: str = "hf-daily-papers-local/0.1"
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# AI 总结
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PI_BIN: str = ""
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SUMMARY_SKILL: str = "daily-paper-summary"
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SUMMARY_CONCURRENCY: int = 3
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SUMMARY_TIMEOUT_SECONDS: int = 900
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SUMMARY_MAX_RETRIES: int = 1
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SUMMARY_PDF_MODE: str = "auto" # "auto" = ≤80k 用 inject，>80k 用 search；也可强制 "inject" / "search"
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# 调度
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SCHEDULER_ENABLED: bool = False
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SCHEDULE_HOUR: int = 4
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SCHEDULE_MINUTE: int = 0
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APP_WORKERS: int = 1
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# 数据库
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DATABASE_URL: str = "sqlite:///data/db/papers.db"
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# 语义搜索
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CHROMA_ENABLED: bool = False
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CHROMA_DIR: str = "data/chroma"
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EMBED_API_BASE: str = ""
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EMBED_API_KEY: str = ""
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EMBED_MODEL: str = ""
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EMBED_DIMENSIONS: int = 0
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model_config = {
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"env_file": str(BASE_DIR / ".env"),
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"env_file_encoding": "utf-8",
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"extra": "ignore",
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}
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@property
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def db_path(self) -> Path:
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"""从 DATABASE_URL 解析出 SQLite 文件路径。"""
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# sqlite:///data/db/papers.db → data/db/papers.db
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url = self.DATABASE_URL
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if url.startswith("sqlite:///"):
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return BASE_DIR / url[len("sqlite:///") :]
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raise ValueError(f"Unsupported DATABASE_URL: {url}")
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@property
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def http_proxy(self) -> str | None:
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return self.HF_PROXY or None
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settings = Settings()
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