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
    min_behavior_actions: int = 3
    prediction_confidence: float = 0.82
    prediction_window_minutes: int = 30
    prediction_interval_seconds: int = 60
    execution_cooldown_seconds: int = 900
    timezone: str = "Europe/Berlin"
    ha_timeout_seconds: int = 25
    dashboard_cache_refresh_seconds: int = 3600

    @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"))
        ),
        min_behavior_actions=max(2, int(os.getenv("SILLYHOME_MIN_BEHAVIOR_ACTIONS", "3"))),
        prediction_confidence=max(
            0.5,
            min(0.99, float(os.getenv("SILLYHOME_PREDICTION_CONFIDENCE", "0.82"))),
        ),
        prediction_window_minutes=max(
            5, min(120, int(os.getenv("SILLYHOME_PREDICTION_WINDOW_MINUTES", "30")))
        ),
        prediction_interval_seconds=max(
            30, int(os.getenv("SILLYHOME_PREDICTION_INTERVAL_SECONDS", "60"))
        ),
        execution_cooldown_seconds=max(
            60, int(os.getenv("SILLYHOME_EXECUTION_COOLDOWN_SECONDS", "900"))
        ),
        timezone=os.getenv("SILLYHOME_TIMEZONE", "Europe/Berlin"),
        ha_timeout_seconds=max(5, int(os.getenv("SILLYHOME_HA_TIMEOUT_SECONDS", "25"))),
        dashboard_cache_refresh_seconds=max(
            300, int(os.getenv("SILLYHOME_DASHBOARD_CACHE_REFRESH_SECONDS", "3600"))
        ),
    )