"""Environment-driven configuration."""
from __future__ import annotations

import os
from dataclasses import dataclass
from pathlib import Path

from dotenv import load_dotenv

load_dotenv()


@dataclass(frozen=True)
class Config:
    local_base_url: str
    local_model: str
    openai_api_key: str
    cloud_model: str
    embed_model: str
    db_path: Path


def load() -> Config:
    return Config(
        local_base_url=os.getenv("LOCAL_BASE_URL", "http://localhost:11434"),
        local_model=os.getenv("LOCAL_MODEL", "qwen2.5:7b-instruct"),
        openai_api_key=os.getenv("OPENAI_API_KEY", ""),
        cloud_model=os.getenv("CLOUD_MODEL", "gpt-4o-mini"),
        embed_model=os.getenv("EMBED_MODEL", "text-embedding-3-small"),
        db_path=Path(os.getenv("LYRA_DB_PATH", "data/lyra.db")),
    )