"""Ручные конверсии/диапазоны свойств (план §3 шаг 3, §4).

Ядро конвертирует raw→API по таблице шаблона; ручная конверсия задаётся
коэффициентами ``display = raw*num/den + offset`` (в единицах API, для
температуры это 0.1 °C) и диапазоном. Применение — на стороне HA:
    display = linear(raw), raw = convert_from_input(template, api)
    api = convert_to_display(template, linear_inverse(display))
"""
from __future__ import annotations

from dataclasses import dataclass
from typing import Any, Mapping, Optional

from pyfglair import Prop, Template
from pyfglair.templates import convert_from_input, convert_to_display, prop_info

from .const import (
    CONF_OVERRIDES,
    CONF_TEMP_STEP,
    TEMP_MAX_TENTHS,
    TEMP_MIN_TENTHS,
    TEMP_STEP_TENTHS,
)


def _div_trunc(numerator: int, denominator: int) -> int:
    quotient = abs(numerator) // abs(denominator)
    return quotient if (numerator < 0) == (denominator < 0) else -quotient


@dataclass(frozen=True)
class LinearOverride:
    num: int = 1
    den: int = 1
    offset: int = 0
    min_value: Optional[int] = None
    max_value: Optional[int] = None

    @property
    def identity(self) -> bool:
        return self.num == 1 and self.den == 1 and self.offset == 0

    def to_display(self, raw: int) -> int:
        return _div_trunc(raw * self.num, self.den) + self.offset

    def from_display(self, display: int) -> int:
        return _div_trunc((display - self.offset) * self.den, self.num)

    def clamp(self, display: int) -> int:
        if self.min_value is not None and display < self.min_value:
            return self.min_value
        if self.max_value is not None and display > self.max_value:
            return self.max_value
        return display


class ConversionSet:
    """Конверсии записи: ручные override поверх шаблонных конверсий ядра."""

    def __init__(
        self,
        template: Template,
        overrides: Mapping[Prop, LinearOverride],
        step_tenths: int,
    ) -> None:
        self.template = template
        self.overrides = dict(overrides)
        self.step_tenths = step_tenths

    @classmethod
    def from_entry(cls, data: Mapping[str, Any]) -> "ConversionSet":
        template = Template[str(data.get("template", "A"))]
        raw_overrides = data.get(CONF_OVERRIDES) or {}
        overrides: dict[Prop, LinearOverride] = {}
        if isinstance(raw_overrides, dict):
            for name, spec in raw_overrides.items():
                try:
                    prop = Prop[str(name).upper()]
                except KeyError:
                    continue
                if not isinstance(spec, dict):
                    continue
                num = int(spec.get("num", 1)) or 1
                den = int(spec.get("den", 1)) or 1
                overrides[prop] = LinearOverride(
                    num=num,
                    den=den,
                    offset=int(spec.get("offset", 0)),
                    min_value=(
                        int(spec["min"]) if spec.get("min") is not None else None
                    ),
                    max_value=(
                        int(spec["max"]) if spec.get("max") is not None else None
                    ),
                )
        step = int(data.get(CONF_TEMP_STEP) or TEMP_STEP_TENTHS[template])
        return cls(template, overrides, step)

    def override(self, prop: Prop) -> LinearOverride:
        return self.overrides.get(prop, LinearOverride())

    def to_display(self, prop: Prop, api_value: int) -> int:
        """API-значение из ядра → отображаемое (при override — единицы API).

        Без override отображаемое значение равно API-значению ядра
        (например, display_temperature API 200 = 20.0 °C). С линейным
        override: display = raw*num/den + offset.
        """
        override = self.override(prop)
        if override.identity:
            return api_value
        raw = convert_from_input(self.template, prop, api_value)
        return override.to_display(raw)

    def raw_range(self, prop: Prop) -> Optional[tuple[int, int]]:
        """raw-диапазон протокольной таблицы шаблона (None — не задан)."""
        info = prop_info(self.template, prop)
        if info is None or info.raw_min is None or info.raw_max is None:
            return None
        return (min(info.raw_min, info.raw_max), max(info.raw_min, info.raw_max))

    def _display_of_raw(self, prop: Prop, raw: int) -> int:
        override = self.override(prop)
        if override.identity:
            return convert_to_display(self.template, prop, raw)
        return override.to_display(raw)

    def from_display(self, prop: Prop, display: int) -> int:
        """Отображаемое значение → API-значение для set_int().

        raw клампится по таблице шаблона (ядро тоже клампит — не отдаём
        молча команду за пределами достижимого).
        """
        override = self.override(prop)
        raw = display if override.identity else override.from_display(display)
        raw_range = self.raw_range(prop)
        if raw_range is not None:
            raw = max(raw_range[0], min(raw_range[1], raw))
        if override.identity:
            return raw
        return convert_to_display(self.template, prop, raw)

    def clamp(self, prop: Prop, display: int) -> int:
        bounds = self.range(prop)
        if bounds is None:
            return display
        return max(bounds[0], min(bounds[1], display))

    def range(self, prop: Prop) -> Optional[tuple[int, int]]:
        """Достижимый диапазон display: override ∩ таблица шаблона."""
        override = self.override(prop)
        low = override.min_value
        high = override.max_value
        if prop == Prop.ADJUST_TEMPERATURE:
            # Фактические ограничения прибора (PROTOCOL §8.3), если
            # пользователь не задал свои.
            low = TEMP_MIN_TENTHS if low is None else low
            high = TEMP_MAX_TENTHS if high is None else high
        raw_range = self.raw_range(prop)
        if raw_range is not None:
            raw_low = self._display_of_raw(prop, raw_range[0])
            raw_high = self._display_of_raw(prop, raw_range[1])
            if raw_low > raw_high:
                raw_low, raw_high = raw_high, raw_low
            low = raw_low if low is None else max(low, raw_low)
            high = raw_high if high is None else min(high, raw_high)
        if low is None or high is None:
            return None
        return (low, high)

    def temperature_range(self) -> tuple[int, int]:
        return self.range(Prop.ADJUST_TEMPERATURE) or (
            TEMP_MIN_TENTHS,
            TEMP_MAX_TENTHS,
        )