mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-29 21:03:40 +00:00
11d4cbfd09
Implement gap tolerance smoothing for Tibber's price level classification (VERY_CHEAP/CHEAP/NORMAL/EXPENSIVE/VERY_EXPENSIVE), separate from the existing rating_level gap tolerance (LOW/NORMAL/HIGH). New feature: - Add CONF_PRICE_LEVEL_GAP_TOLERANCE config option with separate UI step - Implement _apply_level_gap_tolerance() using same bidirectional gravitational pull algorithm as rating gap tolerance - Add _build_level_blocks() and _merge_small_level_blocks() helper functions Config flow changes: - Add new "price_level" options step with dedicated schema - Add menu entry "🏷️ Preisniveau" / "🏷️ Price Level" - Include translations for all 5 languages (de, en, nb, nl, sv) Bug fixes: - Use copy.deepcopy() for price intervals before enrichment to prevent in-place modification of cached raw API data, which caused gap tolerance changes to not take effect when reverting settings - Clear transformation cache in invalidate_config_cache() to ensure re-enrichment with new settings Logging improvements: - Reduce options update handler from 4 INFO messages to 1 DEBUG message - Move level_filtering and period_overlap debug logs to .details logger for granular control via configuration.yaml Technical details: - level_gap_tolerance is tracked separately in transformation config hash - Algorithm: Identifies small blocks (≤ tolerance) and merges them into the larger neighboring block using gravitational pull calculation - Default: 1 (smooth single isolated intervals), Range: 0-4 Impact: Users can now stabilize Tibber's price level classification independently from the internal rating_level calculation. Prevents automation flickering caused by brief price level changes in Tibber's API.
781 lines
29 KiB
Python
781 lines
29 KiB
Python
"""Schema definitions for tibber_prices config flow."""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from collections.abc import Mapping
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import voluptuous as vol
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from custom_components.tibber_prices.const import (
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BEST_PRICE_MAX_LEVEL_OPTIONS,
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CONF_AVERAGE_SENSOR_DISPLAY,
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CONF_BEST_PRICE_FLEX,
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CONF_BEST_PRICE_MAX_LEVEL,
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CONF_BEST_PRICE_MAX_LEVEL_GAP_COUNT,
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CONF_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
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CONF_BEST_PRICE_MIN_PERIOD_LENGTH,
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CONF_CURRENCY_DISPLAY_MODE,
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CONF_ENABLE_MIN_PERIODS_BEST,
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CONF_ENABLE_MIN_PERIODS_PEAK,
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CONF_EXTENDED_DESCRIPTIONS,
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CONF_MIN_PERIODS_BEST,
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CONF_MIN_PERIODS_PEAK,
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CONF_PEAK_PRICE_FLEX,
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CONF_PEAK_PRICE_MAX_LEVEL_GAP_COUNT,
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CONF_PEAK_PRICE_MIN_DISTANCE_FROM_AVG,
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CONF_PEAK_PRICE_MIN_LEVEL,
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CONF_PEAK_PRICE_MIN_PERIOD_LENGTH,
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CONF_PRICE_LEVEL_GAP_TOLERANCE,
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CONF_PRICE_RATING_GAP_TOLERANCE,
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CONF_PRICE_RATING_HYSTERESIS,
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CONF_PRICE_RATING_THRESHOLD_HIGH,
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CONF_PRICE_RATING_THRESHOLD_LOW,
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CONF_PRICE_TREND_THRESHOLD_FALLING,
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CONF_PRICE_TREND_THRESHOLD_RISING,
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CONF_RELAXATION_ATTEMPTS_BEST,
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CONF_RELAXATION_ATTEMPTS_PEAK,
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CONF_VIRTUAL_TIME_OFFSET_DAYS,
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CONF_VIRTUAL_TIME_OFFSET_HOURS,
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CONF_VIRTUAL_TIME_OFFSET_MINUTES,
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CONF_VOLATILITY_THRESHOLD_HIGH,
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CONF_VOLATILITY_THRESHOLD_MODERATE,
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CONF_VOLATILITY_THRESHOLD_VERY_HIGH,
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DEFAULT_AVERAGE_SENSOR_DISPLAY,
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DEFAULT_BEST_PRICE_FLEX,
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DEFAULT_BEST_PRICE_MAX_LEVEL,
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DEFAULT_BEST_PRICE_MAX_LEVEL_GAP_COUNT,
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DEFAULT_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
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DEFAULT_BEST_PRICE_MIN_PERIOD_LENGTH,
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DEFAULT_ENABLE_MIN_PERIODS_BEST,
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DEFAULT_ENABLE_MIN_PERIODS_PEAK,
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DEFAULT_EXTENDED_DESCRIPTIONS,
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DEFAULT_MIN_PERIODS_BEST,
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DEFAULT_MIN_PERIODS_PEAK,
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DEFAULT_PEAK_PRICE_FLEX,
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DEFAULT_PEAK_PRICE_MAX_LEVEL_GAP_COUNT,
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DEFAULT_PEAK_PRICE_MIN_DISTANCE_FROM_AVG,
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DEFAULT_PEAK_PRICE_MIN_LEVEL,
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DEFAULT_PEAK_PRICE_MIN_PERIOD_LENGTH,
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DEFAULT_PRICE_LEVEL_GAP_TOLERANCE,
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DEFAULT_PRICE_RATING_GAP_TOLERANCE,
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DEFAULT_PRICE_RATING_HYSTERESIS,
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DEFAULT_PRICE_RATING_THRESHOLD_HIGH,
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DEFAULT_PRICE_RATING_THRESHOLD_LOW,
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DEFAULT_PRICE_TREND_THRESHOLD_FALLING,
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DEFAULT_PRICE_TREND_THRESHOLD_RISING,
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DEFAULT_RELAXATION_ATTEMPTS_BEST,
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DEFAULT_RELAXATION_ATTEMPTS_PEAK,
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DEFAULT_VIRTUAL_TIME_OFFSET_DAYS,
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DEFAULT_VIRTUAL_TIME_OFFSET_HOURS,
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DEFAULT_VIRTUAL_TIME_OFFSET_MINUTES,
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DEFAULT_VOLATILITY_THRESHOLD_HIGH,
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DEFAULT_VOLATILITY_THRESHOLD_MODERATE,
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DEFAULT_VOLATILITY_THRESHOLD_VERY_HIGH,
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DISPLAY_MODE_BASE,
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DISPLAY_MODE_SUBUNIT,
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MAX_GAP_COUNT,
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MAX_MIN_PERIOD_LENGTH,
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MAX_MIN_PERIODS,
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MAX_PRICE_LEVEL_GAP_TOLERANCE,
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MAX_PRICE_RATING_GAP_TOLERANCE,
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MAX_PRICE_RATING_HYSTERESIS,
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MAX_PRICE_RATING_THRESHOLD_HIGH,
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MAX_PRICE_RATING_THRESHOLD_LOW,
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MAX_PRICE_TREND_FALLING,
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MAX_PRICE_TREND_RISING,
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MAX_RELAXATION_ATTEMPTS,
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MAX_VOLATILITY_THRESHOLD_HIGH,
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MAX_VOLATILITY_THRESHOLD_MODERATE,
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MAX_VOLATILITY_THRESHOLD_VERY_HIGH,
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MIN_GAP_COUNT,
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MIN_PERIOD_LENGTH,
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MIN_PRICE_LEVEL_GAP_TOLERANCE,
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MIN_PRICE_RATING_GAP_TOLERANCE,
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MIN_PRICE_RATING_HYSTERESIS,
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MIN_PRICE_RATING_THRESHOLD_HIGH,
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MIN_PRICE_RATING_THRESHOLD_LOW,
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MIN_PRICE_TREND_FALLING,
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MIN_PRICE_TREND_RISING,
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MIN_RELAXATION_ATTEMPTS,
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MIN_VOLATILITY_THRESHOLD_HIGH,
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MIN_VOLATILITY_THRESHOLD_MODERATE,
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MIN_VOLATILITY_THRESHOLD_VERY_HIGH,
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PEAK_PRICE_MIN_LEVEL_OPTIONS,
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get_default_currency_display,
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)
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from homeassistant.const import CONF_ACCESS_TOKEN
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from homeassistant.data_entry_flow import section
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from homeassistant.helpers import selector
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from homeassistant.helpers.selector import (
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BooleanSelector,
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NumberSelector,
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NumberSelectorConfig,
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NumberSelectorMode,
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SelectOptionDict,
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SelectSelector,
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SelectSelectorConfig,
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SelectSelectorMode,
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TextSelector,
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TextSelectorConfig,
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TextSelectorType,
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)
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def get_user_schema(access_token: str | None = None) -> vol.Schema:
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"""Return schema for user step (API token input)."""
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return vol.Schema(
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{
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vol.Required(
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CONF_ACCESS_TOKEN,
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default=access_token if access_token is not None else vol.UNDEFINED,
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): TextSelector(
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TextSelectorConfig(
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type=TextSelectorType.TEXT,
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),
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),
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}
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)
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def get_reauth_confirm_schema() -> vol.Schema:
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"""Return schema for reauth confirmation step."""
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return vol.Schema(
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{
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vol.Required(CONF_ACCESS_TOKEN): TextSelector(
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TextSelectorConfig(type=TextSelectorType.TEXT),
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),
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}
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)
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def get_select_home_schema(home_options: list[SelectOptionDict]) -> vol.Schema:
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"""Return schema for home selection step."""
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return vol.Schema(
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{
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vol.Required("home_id"): SelectSelector(
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SelectSelectorConfig(
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options=home_options,
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mode=SelectSelectorMode.DROPDOWN,
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)
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)
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}
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)
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def get_subentry_init_schema(
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*,
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extended_descriptions: bool = DEFAULT_EXTENDED_DESCRIPTIONS,
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offset_days: int = DEFAULT_VIRTUAL_TIME_OFFSET_DAYS,
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offset_hours: int = DEFAULT_VIRTUAL_TIME_OFFSET_HOURS,
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offset_minutes: int = DEFAULT_VIRTUAL_TIME_OFFSET_MINUTES,
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) -> vol.Schema:
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"""Return schema for subentry init step (includes time-travel settings)."""
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return vol.Schema(
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{
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vol.Optional(
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CONF_EXTENDED_DESCRIPTIONS,
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default=extended_descriptions,
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): BooleanSelector(),
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vol.Optional(
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CONF_VIRTUAL_TIME_OFFSET_DAYS,
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default=offset_days,
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): NumberSelector(
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NumberSelectorConfig(
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mode=NumberSelectorMode.BOX,
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min=-365, # Max 1 year back
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max=0, # Only past days allowed
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step=1,
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)
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),
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vol.Optional(
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CONF_VIRTUAL_TIME_OFFSET_HOURS,
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default=offset_hours,
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): NumberSelector(
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NumberSelectorConfig(
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mode=NumberSelectorMode.BOX,
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min=-23,
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max=23,
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step=1,
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)
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),
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vol.Optional(
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CONF_VIRTUAL_TIME_OFFSET_MINUTES,
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default=offset_minutes,
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): NumberSelector(
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NumberSelectorConfig(
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mode=NumberSelectorMode.BOX,
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min=-59,
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max=59,
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step=1,
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)
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),
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}
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)
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def get_options_init_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for options init step (general settings)."""
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return vol.Schema(
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{
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vol.Optional(
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CONF_EXTENDED_DESCRIPTIONS,
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default=options.get(CONF_EXTENDED_DESCRIPTIONS, DEFAULT_EXTENDED_DESCRIPTIONS),
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): BooleanSelector(),
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vol.Optional(
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CONF_AVERAGE_SENSOR_DISPLAY,
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default=str(
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options.get(
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CONF_AVERAGE_SENSOR_DISPLAY,
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DEFAULT_AVERAGE_SENSOR_DISPLAY,
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)
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),
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): SelectSelector(
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SelectSelectorConfig(
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options=["median", "mean"],
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mode=SelectSelectorMode.DROPDOWN,
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translation_key="average_sensor_display",
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),
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),
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}
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)
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def get_display_settings_schema(options: Mapping[str, Any], currency_code: str | None) -> vol.Schema:
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"""Return schema for display settings configuration."""
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default_display_mode = get_default_currency_display(currency_code)
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return vol.Schema(
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{
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vol.Optional(
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CONF_CURRENCY_DISPLAY_MODE,
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default=str(
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options.get(
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CONF_CURRENCY_DISPLAY_MODE,
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default_display_mode,
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)
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),
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): SelectSelector(
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SelectSelectorConfig(
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options=[DISPLAY_MODE_BASE, DISPLAY_MODE_SUBUNIT],
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mode=SelectSelectorMode.DROPDOWN,
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translation_key="currency_display_mode",
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),
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),
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}
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)
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def get_price_rating_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for price rating configuration (thresholds and stabilization)."""
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return vol.Schema(
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{
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vol.Optional(
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CONF_PRICE_RATING_THRESHOLD_LOW,
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default=int(
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options.get(
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CONF_PRICE_RATING_THRESHOLD_LOW,
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DEFAULT_PRICE_RATING_THRESHOLD_LOW,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PRICE_RATING_THRESHOLD_LOW,
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max=MAX_PRICE_RATING_THRESHOLD_LOW,
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unit_of_measurement="%",
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step=1,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_PRICE_RATING_THRESHOLD_HIGH,
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default=int(
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options.get(
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CONF_PRICE_RATING_THRESHOLD_HIGH,
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DEFAULT_PRICE_RATING_THRESHOLD_HIGH,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PRICE_RATING_THRESHOLD_HIGH,
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max=MAX_PRICE_RATING_THRESHOLD_HIGH,
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unit_of_measurement="%",
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step=1,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_PRICE_RATING_HYSTERESIS,
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default=float(
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options.get(
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CONF_PRICE_RATING_HYSTERESIS,
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DEFAULT_PRICE_RATING_HYSTERESIS,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PRICE_RATING_HYSTERESIS,
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max=MAX_PRICE_RATING_HYSTERESIS,
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unit_of_measurement="%",
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step=0.5,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_PRICE_RATING_GAP_TOLERANCE,
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default=int(
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options.get(
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CONF_PRICE_RATING_GAP_TOLERANCE,
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DEFAULT_PRICE_RATING_GAP_TOLERANCE,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PRICE_RATING_GAP_TOLERANCE,
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max=MAX_PRICE_RATING_GAP_TOLERANCE,
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step=1,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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}
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)
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def get_price_level_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for Tibber price level stabilization (gap tolerance for API level field)."""
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return vol.Schema(
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{
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vol.Optional(
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CONF_PRICE_LEVEL_GAP_TOLERANCE,
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default=int(
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options.get(
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CONF_PRICE_LEVEL_GAP_TOLERANCE,
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DEFAULT_PRICE_LEVEL_GAP_TOLERANCE,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PRICE_LEVEL_GAP_TOLERANCE,
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max=MAX_PRICE_LEVEL_GAP_TOLERANCE,
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step=1,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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}
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)
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def get_volatility_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for volatility thresholds configuration."""
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return vol.Schema(
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{
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vol.Optional(
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CONF_VOLATILITY_THRESHOLD_MODERATE,
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default=float(
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options.get(
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CONF_VOLATILITY_THRESHOLD_MODERATE,
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DEFAULT_VOLATILITY_THRESHOLD_MODERATE,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_VOLATILITY_THRESHOLD_MODERATE,
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max=MAX_VOLATILITY_THRESHOLD_MODERATE,
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step=1.0,
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unit_of_measurement="%",
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_VOLATILITY_THRESHOLD_HIGH,
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default=float(
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options.get(
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CONF_VOLATILITY_THRESHOLD_HIGH,
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DEFAULT_VOLATILITY_THRESHOLD_HIGH,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_VOLATILITY_THRESHOLD_HIGH,
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max=MAX_VOLATILITY_THRESHOLD_HIGH,
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step=1.0,
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unit_of_measurement="%",
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_VOLATILITY_THRESHOLD_VERY_HIGH,
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default=float(
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options.get(
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CONF_VOLATILITY_THRESHOLD_VERY_HIGH,
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DEFAULT_VOLATILITY_THRESHOLD_VERY_HIGH,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_VOLATILITY_THRESHOLD_VERY_HIGH,
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max=MAX_VOLATILITY_THRESHOLD_VERY_HIGH,
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step=1.0,
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unit_of_measurement="%",
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mode=NumberSelectorMode.SLIDER,
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),
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),
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}
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)
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def get_best_price_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for best price period configuration with collapsible sections."""
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period_settings = options.get("period_settings", {})
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return vol.Schema(
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{
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vol.Required("period_settings"): section(
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vol.Schema(
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{
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vol.Optional(
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CONF_BEST_PRICE_MIN_PERIOD_LENGTH,
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default=int(
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period_settings.get(
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CONF_BEST_PRICE_MIN_PERIOD_LENGTH,
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DEFAULT_BEST_PRICE_MIN_PERIOD_LENGTH,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_PERIOD_LENGTH,
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max=MAX_MIN_PERIOD_LENGTH,
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step=15,
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unit_of_measurement="min",
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mode=NumberSelectorMode.SLIDER,
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),
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),
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vol.Optional(
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CONF_BEST_PRICE_MAX_LEVEL,
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default=period_settings.get(
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CONF_BEST_PRICE_MAX_LEVEL,
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DEFAULT_BEST_PRICE_MAX_LEVEL,
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),
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): SelectSelector(
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SelectSelectorConfig(
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options=BEST_PRICE_MAX_LEVEL_OPTIONS,
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mode=SelectSelectorMode.DROPDOWN,
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translation_key="current_interval_price_level",
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),
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),
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vol.Optional(
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CONF_BEST_PRICE_MAX_LEVEL_GAP_COUNT,
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default=int(
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period_settings.get(
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CONF_BEST_PRICE_MAX_LEVEL_GAP_COUNT,
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DEFAULT_BEST_PRICE_MAX_LEVEL_GAP_COUNT,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_GAP_COUNT,
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max=MAX_GAP_COUNT,
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step=1,
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mode=NumberSelectorMode.SLIDER,
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),
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),
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}
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),
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{"collapsed": False},
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),
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vol.Required("flexibility_settings"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_BEST_PRICE_FLEX,
|
|
default=int(
|
|
options.get("flexibility_settings", {}).get(
|
|
CONF_BEST_PRICE_FLEX,
|
|
DEFAULT_BEST_PRICE_FLEX,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=0,
|
|
max=50,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
default=int(
|
|
options.get("flexibility_settings", {}).get(
|
|
CONF_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
DEFAULT_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=-50,
|
|
max=0,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": True},
|
|
),
|
|
vol.Required("relaxation_and_target_periods"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_ENABLE_MIN_PERIODS_BEST,
|
|
default=options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_ENABLE_MIN_PERIODS_BEST,
|
|
DEFAULT_ENABLE_MIN_PERIODS_BEST,
|
|
),
|
|
): BooleanSelector(),
|
|
vol.Optional(
|
|
CONF_MIN_PERIODS_BEST,
|
|
default=int(
|
|
options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_MIN_PERIODS_BEST,
|
|
DEFAULT_MIN_PERIODS_BEST,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=1,
|
|
max=MAX_MIN_PERIODS,
|
|
step=1,
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_RELAXATION_ATTEMPTS_BEST,
|
|
default=int(
|
|
options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_RELAXATION_ATTEMPTS_BEST,
|
|
DEFAULT_RELAXATION_ATTEMPTS_BEST,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_RELAXATION_ATTEMPTS,
|
|
max=MAX_RELAXATION_ATTEMPTS,
|
|
step=1,
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": True},
|
|
),
|
|
}
|
|
)
|
|
|
|
|
|
def get_peak_price_schema(options: Mapping[str, Any]) -> vol.Schema:
|
|
"""Return schema for peak price period configuration with collapsible sections."""
|
|
period_settings = options.get("period_settings", {})
|
|
return vol.Schema(
|
|
{
|
|
vol.Required("period_settings"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_MIN_PERIOD_LENGTH,
|
|
default=int(
|
|
period_settings.get(
|
|
CONF_PEAK_PRICE_MIN_PERIOD_LENGTH,
|
|
DEFAULT_PEAK_PRICE_MIN_PERIOD_LENGTH,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_PERIOD_LENGTH,
|
|
max=MAX_MIN_PERIOD_LENGTH,
|
|
step=15,
|
|
unit_of_measurement="min",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_MIN_LEVEL,
|
|
default=period_settings.get(
|
|
CONF_PEAK_PRICE_MIN_LEVEL,
|
|
DEFAULT_PEAK_PRICE_MIN_LEVEL,
|
|
),
|
|
): SelectSelector(
|
|
SelectSelectorConfig(
|
|
options=PEAK_PRICE_MIN_LEVEL_OPTIONS,
|
|
mode=SelectSelectorMode.DROPDOWN,
|
|
translation_key="current_interval_price_level",
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_MAX_LEVEL_GAP_COUNT,
|
|
default=int(
|
|
period_settings.get(
|
|
CONF_PEAK_PRICE_MAX_LEVEL_GAP_COUNT,
|
|
DEFAULT_PEAK_PRICE_MAX_LEVEL_GAP_COUNT,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_GAP_COUNT,
|
|
max=MAX_GAP_COUNT,
|
|
step=1,
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": False},
|
|
),
|
|
vol.Required("flexibility_settings"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_FLEX,
|
|
default=int(
|
|
options.get("flexibility_settings", {}).get(
|
|
CONF_PEAK_PRICE_FLEX,
|
|
DEFAULT_PEAK_PRICE_FLEX,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=-50,
|
|
max=0,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
default=int(
|
|
options.get("flexibility_settings", {}).get(
|
|
CONF_PEAK_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
DEFAULT_PEAK_PRICE_MIN_DISTANCE_FROM_AVG,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=0,
|
|
max=50,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": True},
|
|
),
|
|
vol.Required("relaxation_and_target_periods"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_ENABLE_MIN_PERIODS_PEAK,
|
|
default=options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_ENABLE_MIN_PERIODS_PEAK,
|
|
DEFAULT_ENABLE_MIN_PERIODS_PEAK,
|
|
),
|
|
): BooleanSelector(),
|
|
vol.Optional(
|
|
CONF_MIN_PERIODS_PEAK,
|
|
default=int(
|
|
options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_MIN_PERIODS_PEAK,
|
|
DEFAULT_MIN_PERIODS_PEAK,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=1,
|
|
max=MAX_MIN_PERIODS,
|
|
step=1,
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_RELAXATION_ATTEMPTS_PEAK,
|
|
default=int(
|
|
options.get("relaxation_and_target_periods", {}).get(
|
|
CONF_RELAXATION_ATTEMPTS_PEAK,
|
|
DEFAULT_RELAXATION_ATTEMPTS_PEAK,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_RELAXATION_ATTEMPTS,
|
|
max=MAX_RELAXATION_ATTEMPTS,
|
|
step=1,
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": True},
|
|
),
|
|
}
|
|
)
|
|
|
|
|
|
def get_price_trend_schema(options: Mapping[str, Any]) -> vol.Schema:
|
|
"""Return schema for price trend thresholds configuration."""
|
|
return vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_PRICE_TREND_THRESHOLD_RISING,
|
|
default=int(
|
|
options.get(
|
|
CONF_PRICE_TREND_THRESHOLD_RISING,
|
|
DEFAULT_PRICE_TREND_THRESHOLD_RISING,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_PRICE_TREND_RISING,
|
|
max=MAX_PRICE_TREND_RISING,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
vol.Optional(
|
|
CONF_PRICE_TREND_THRESHOLD_FALLING,
|
|
default=int(
|
|
options.get(
|
|
CONF_PRICE_TREND_THRESHOLD_FALLING,
|
|
DEFAULT_PRICE_TREND_THRESHOLD_FALLING,
|
|
)
|
|
),
|
|
): NumberSelector(
|
|
NumberSelectorConfig(
|
|
min=MIN_PRICE_TREND_FALLING,
|
|
max=MAX_PRICE_TREND_FALLING,
|
|
step=1,
|
|
unit_of_measurement="%",
|
|
mode=NumberSelectorMode.SLIDER,
|
|
),
|
|
),
|
|
}
|
|
)
|
|
|
|
|
|
def get_chart_data_export_schema(_options: Mapping[str, Any]) -> vol.Schema:
|
|
"""Return schema for chart data export info page (no input fields)."""
|
|
# Empty schema - this is just an info page now
|
|
return vol.Schema({})
|
|
|
|
|
|
def get_reset_to_defaults_schema() -> vol.Schema:
|
|
"""Return schema for reset to defaults confirmation step."""
|
|
return vol.Schema(
|
|
{
|
|
vol.Required("confirm_reset", default=False): selector.BooleanSelector(),
|
|
}
|
|
)
|