c2e91262c6
Unbounded asyncio.create_task calls could exhaust CPU and memory on modest hardware. Add a configurable semaphore (MAX_CONCURRENT_ANALYSES, default 3) so excess jobs queue instead of running all at once.
41 lines
1.7 KiB
Python
41 lines
1.7 KiB
Python
"""Centralized application settings — loaded from environment variables."""
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from __future__ import annotations
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import os
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from dataclasses import dataclass, field
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@dataclass(frozen=True)
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class Settings:
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app_version: str = "dev"
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conversion_engine: str = "local" # "local" or "remote"
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docling_serve_url: str = "http://localhost:5001"
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docling_serve_api_key: str | None = None
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conversion_timeout: int = 600
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max_concurrent_analyses: int = 3
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upload_dir: str = "./uploads"
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db_path: str = "./data/docling_studio.db"
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cors_origins: list[str] = field(
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default_factory=lambda: ["http://localhost:3000", "http://localhost:5173"]
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)
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@classmethod
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def from_env(cls) -> Settings:
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"""Build a Settings instance from environment variables."""
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cors_raw = os.environ.get("CORS_ORIGINS", "http://localhost:3000,http://localhost:5173")
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return cls(
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app_version=os.environ.get("APP_VERSION", "dev"),
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conversion_engine=os.environ.get("CONVERSION_ENGINE", "local"),
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docling_serve_url=os.environ.get("DOCLING_SERVE_URL", "http://localhost:5001"),
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docling_serve_api_key=os.environ.get("DOCLING_SERVE_API_KEY"),
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conversion_timeout=int(os.environ.get("CONVERSION_TIMEOUT", "600")),
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max_concurrent_analyses=int(os.environ.get("MAX_CONCURRENT_ANALYSES", "3")),
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upload_dir=os.environ.get("UPLOAD_DIR", "./uploads"),
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db_path=os.environ.get("DB_PATH", "./data/docling_studio.db"),
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cors_origins=[o.strip() for o in cors_raw.split(",")],
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)
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# Module-level singleton — import this from other modules.
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settings = Settings.from_env()
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