from __future__ import annotations

import os
from dataclasses import dataclass
from pathlib import Path

from dotenv import load_dotenv


def _env_bool(name: str, default: bool = False) -> bool:
    raw = os.getenv(name)
    if raw is None:
        return default
    return raw.strip().lower() in {"1", "true", "yes", "on"}


@dataclass(frozen=True)
class AppConfig:
    openai_api_key: str
    screenjob_token: str
    disable_ui: bool
    default_model: str
    safety_model: str
    host: str
    port: int
    runs_dir: Path
    db_path: Path


def load_app_config(cwd: Path) -> AppConfig:
    load_dotenv()
    openai_api_key = os.getenv("OPENAI_API_KEY", "").strip()
    screenjob_token = os.getenv("SCREENJOB_TOKEN", "").strip()
    default_model = os.getenv("SCREENJOB_DEFAULT_MODEL", "gpt-5.4-mini").strip() or "gpt-5.4-mini"
    safety_model = os.getenv("SCREENJOB_SAFETY_MODEL", "gpt-5.4-mini").strip() or "gpt-5.4-mini"
    host = os.getenv("SCREENJOB_HOST", "127.0.0.1").strip() or "127.0.0.1"
    port = int(os.getenv("SCREENJOB_PORT", "8787").strip() or "8787")
    runs_dir = cwd / "screenjob_runs"
    db_path = cwd / "screenjob.db"
    disable_ui = _env_bool("DISABLE_UI", default=False)
    return AppConfig(
        openai_api_key=openai_api_key,
        screenjob_token=screenjob_token,
        disable_ui=disable_ui,
        default_model=default_model,
        safety_model=safety_model,
        host=host,
        port=port,
        runs_dir=runs_dir,
        db_path=db_path,
    )