51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from decouple import config
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def _to_bool(value: str) -> bool:
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return value.strip().lower() in {"1", "true", "yes", "on"}
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@dataclass(frozen=True)
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class Settings:
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app_host: str = config("API_HOST", default="0.0.0.0")
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app_port: int = config("API_PORT", cast=int, default=8080)
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openai_base_url: str = config(
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"OPENAI_BASE_URL", default="https://openrouter.ai/api/v1"
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)
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openai_api_key: str = config("OPENAI_API_KEY", default="")
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llm_model: str = config("LLM_MODEL", default="openai/gpt-4.1-mini")
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embedding_model: str = config(
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"EMBEDDING_MODEL", default="deepvk/USER2-small"
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)
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embedding_device: str = config("EMBEDDING_DEVICE", default="cpu")
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chroma_host: str = config("CHROMA_HOST", default="chromadb")
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chroma_port: int = config("CHROMA_PORT", cast=int, default=8000)
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chroma_collection: str = config("CHROMA_COLLECTION", default="law_chunks")
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chroma_ssl: bool = _to_bool(config("CHROMA_SSL", default="false"))
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rag_top_k: int = config("RAG_TOP_K", cast=int, default=5)
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fts_top_k: int = config("FTS_TOP_K", cast=int, default=20)
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vector_top_k: int = config("VECTOR_TOP_K", cast=int, default=20)
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index_batch_size: int = config("INDEX_BATCH_SIZE", cast=int, default=32)
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llm_timeout_seconds: int = config("LLM_TIMEOUT_SECONDS", cast=int, default=90)
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log_level: str = config("LOG_LEVEL", default="INFO")
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auto_index_on_startup: bool = _to_bool(config("AUTO_INDEX_ON_STARTUP", default="true"))
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auto_index_only_if_empty: bool = _to_bool(
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config("AUTO_INDEX_ONLY_IF_EMPTY", default="true")
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)
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auto_index_reset_collection: bool = _to_bool(
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config("AUTO_INDEX_RESET_COLLECTION", default="false")
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)
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auto_index_retry_delay_seconds: int = config(
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"AUTO_INDEX_RETRY_DELAY_SECONDS", cast=int, default=15
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)
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auto_index_max_attempts: int = config(
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"AUTO_INDEX_MAX_ATTEMPTS", cast=int, default=20
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)
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settings = Settings()
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