from __future__ import annotations

import os
from dataclasses import dataclass


@dataclass(frozen=True)
class Settings:
    ha_url: str | None = None
    ha_token: str | None = None
    model_store: str = ".model_store"
    automation_store: str = ".automation_store"
    actuator_store: str = ".actuator_store"
    history_days: int = 14
    min_training_points: int = 24
    retrain_stale_hours: int = 24
    reconcile_interval_seconds: int = 900

    @property
    def ha_configured(self) -> bool:
        return bool(self.ha_url and self.ha_token)


def load_settings() -> Settings:
    return Settings(
        ha_url=os.getenv("SILLYHOME_HA_URL") or os.getenv("HA_URL"),
        ha_token=os.getenv("SILLYHOME_HA_TOKEN") or os.getenv("HA_TOKEN"),
        model_store=os.getenv("SILLYHOME_MODEL_STORE", ".model_store"),
        automation_store=os.getenv("SILLYHOME_AUTOMATION_STORE", ".automation_store"),
        actuator_store=os.getenv("SILLYHOME_ACTUATOR_STORE", ".actuator_store"),
        history_days=max(1, min(31, int(os.getenv("SILLYHOME_HISTORY_DAYS", "14")))),
        min_training_points=max(2, int(os.getenv("SILLYHOME_MIN_TRAINING_POINTS", "24"))),
        retrain_stale_hours=max(1, int(os.getenv("SILLYHOME_RETRAIN_STALE_HOURS", "24"))),
        reconcile_interval_seconds=max(
            60, int(os.getenv("SILLYHOME_RECONCILE_INTERVAL_SECONDS", "900"))
        ),
    )