47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
"""Application settings and environment configuration."""
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from functools import lru_cache
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from pathlib import Path
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Defines runtime configuration values loaded from environment variables."""
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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app_name: str = "dcm-dms"
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app_env: str = "development"
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database_url: str = "postgresql+psycopg://dcm:dcm@db:5432/dcm"
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redis_url: str = "redis://redis:6379/0"
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storage_root: Path = Path("/data/storage")
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upload_chunk_size: int = 4 * 1024 * 1024
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max_zip_members: int = 250
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max_zip_depth: int = 2
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max_text_length: int = 500_000
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default_openai_base_url: str = "https://api.openai.com/v1"
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default_openai_model: str = "gpt-4.1-mini"
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default_openai_timeout_seconds: int = 45
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default_openai_handwriting_enabled: bool = True
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default_openai_api_key: str = ""
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default_summary_model: str = "gpt-4.1-mini"
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default_routing_model: str = "gpt-4.1-mini"
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typesense_protocol: str = "http"
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typesense_host: str = "typesense"
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typesense_port: int = 8108
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typesense_api_key: str = "dcm-typesense-key"
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typesense_collection_name: str = "documents"
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typesense_timeout_seconds: int = 120
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typesense_num_retries: int = 0
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public_base_url: str = "http://localhost:8000"
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cors_origins: list[str] = Field(default_factory=lambda: ["http://localhost:5173", "http://localhost:3000"])
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@lru_cache(maxsize=1)
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def get_settings() -> Settings:
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"""Returns a cached settings object for dependency injection and service access."""
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return Settings()
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