from __future__ import annotations

from dataclasses import dataclass

from decouple import config


def _to_bool(value: str) -> bool:
    return value.strip().lower() in {"1", "true", "yes", "on"}


@dataclass(frozen=True)
class Settings:
    app_host: str = config("API_HOST", default="0.0.0.0")
    app_port: int = config("API_PORT", cast=int, default=8080)
    openai_base_url: str = config(
        "OPENAI_BASE_URL", default="https://openrouter.ai/api/v1"
    )
    openai_api_key: str = config("OPENAI_API_KEY", default="")
    llm_model: str = config("LLM_MODEL", default="openai/gpt-4.1-mini")
    embedding_model: str = config(
        "EMBEDDING_MODEL", default="deepvk/USER2-small"
    )
    embedding_device: str = config("EMBEDDING_DEVICE", default="cpu")
    chroma_host: str = config("CHROMA_HOST", default="chromadb")
    chroma_port: int = config("CHROMA_PORT", cast=int, default=8000)
    chroma_collection: str = config("CHROMA_COLLECTION", default="law_chunks")
    chroma_ssl: bool = _to_bool(config("CHROMA_SSL", default="false"))
    rag_top_k: int = config("RAG_TOP_K", cast=int, default=5)
    fts_top_k: int = config("FTS_TOP_K", cast=int, default=20)
    vector_top_k: int = config("VECTOR_TOP_K", cast=int, default=20)
    index_batch_size: int = config("INDEX_BATCH_SIZE", cast=int, default=32)
    llm_timeout_seconds: int = config("LLM_TIMEOUT_SECONDS", cast=int, default=90)
    log_level: str = config("LOG_LEVEL", default="INFO")
    auto_index_on_startup: bool = _to_bool(config("AUTO_INDEX_ON_STARTUP", default="true"))
    auto_index_only_if_empty: bool = _to_bool(
        config("AUTO_INDEX_ONLY_IF_EMPTY", default="true")
    )
    auto_index_reset_collection: bool = _to_bool(
        config("AUTO_INDEX_RESET_COLLECTION", default="false")
    )
    auto_index_retry_delay_seconds: int = config(
        "AUTO_INDEX_RETRY_DELAY_SECONDS", cast=int, default=15
    )
    auto_index_max_attempts: int = config(
        "AUTO_INDEX_MAX_ATTEMPTS", cast=int, default=20
    )


settings = Settings()