mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-30 05:13:40 +00:00
51a99980df
Add user-configurable option to choose between median and arithmetic mean as the displayed value for all 14 average price sensors, with the alternate value exposed as attribute. BREAKING CHANGE: Average sensor default changed from arithmetic mean to median. Users who rely on arithmetic mean behavior may use the price_mean attribue now, or must manually reconfigure via Settings → Devices & Services → Tibber Prices → Configure → General Settings → "Average Sensor Display" → Select "Arithmetic Mean" to get this as sensor state. Affected sensors (14 total): - Daily averages: average_price_today, average_price_tomorrow - 24h windows: trailing_price_average, leading_price_average - Rolling hour: current_hour_average_price, next_hour_average_price - Future forecasts: next_avg_3h, next_avg_6h, next_avg_9h, next_avg_12h Implementation: - All average calculators now return (mean, median) tuples - User preference controls which value appears in sensor state - Alternate value automatically added to attributes - Period statistics (best_price/peak_price) extended with both values Technical changes: - New config option: CONF_AVERAGE_SENSOR_DISPLAY (default: "median") - Calculator functions return tuples: (avg, median) - Attribute builders: add_alternate_average_attribute() helper function - Period statistics: price_avg → price_mean + price_median - Translations: Updated all 5 languages (de, en, nb, nl, sv) - Documentation: AGENTS.md, period-calculation.md, recorder-optimization.md Migration path: Users can switch back to arithmetic mean via: Settings → Integrations → Tibber Prices → Configure → General Settings → "Average Sensor Display" → "Arithmetic Mean" Impact: Median is more resistant to price spikes, providing more stable automation triggers. Statistical analysis from coordinator still uses arithmetic mean (e.g., trailing_avg_24h for rating calculations). Co-developed-with: GitHub Copilot <copilot@github.com>
692 lines
27 KiB
Python
692 lines
27 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_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_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_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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MAX_GAP_COUNT,
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MAX_MIN_PERIOD_LENGTH,
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MAX_MIN_PERIODS,
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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_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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)
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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.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_price_rating_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for price rating thresholds configuration."""
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return vol.Schema(
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{
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vol.Required("price_rating_thresholds"): section(
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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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}
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),
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{"collapsed": True},
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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 with collapsible sections."""
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return vol.Schema(
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{
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vol.Required("volatility_thresholds"): section(
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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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{"collapsed": True},
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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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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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options.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=options.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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options.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": True},
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),
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vol.Required("flexibility_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_FLEX,
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default=int(
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options.get(
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CONF_BEST_PRICE_FLEX,
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DEFAULT_BEST_PRICE_FLEX,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=0,
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max=50,
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step=1,
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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_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
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default=int(
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options.get(
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CONF_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
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DEFAULT_BEST_PRICE_MIN_DISTANCE_FROM_AVG,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=-50,
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max=0,
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step=1,
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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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{"collapsed": True},
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),
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vol.Required("relaxation_and_target_periods"): section(
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vol.Schema(
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{
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vol.Optional(
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CONF_ENABLE_MIN_PERIODS_BEST,
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default=options.get(
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CONF_ENABLE_MIN_PERIODS_BEST,
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DEFAULT_ENABLE_MIN_PERIODS_BEST,
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),
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): BooleanSelector(),
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vol.Optional(
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CONF_MIN_PERIODS_BEST,
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default=int(
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options.get(
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CONF_MIN_PERIODS_BEST,
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DEFAULT_MIN_PERIODS_BEST,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=1,
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max=MAX_MIN_PERIODS,
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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_RELAXATION_ATTEMPTS_BEST,
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default=int(
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options.get(
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CONF_RELAXATION_ATTEMPTS_BEST,
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DEFAULT_RELAXATION_ATTEMPTS_BEST,
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)
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),
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): NumberSelector(
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NumberSelectorConfig(
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min=MIN_RELAXATION_ATTEMPTS,
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max=MAX_RELAXATION_ATTEMPTS,
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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": True},
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),
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}
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)
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|
|
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def get_peak_price_schema(options: Mapping[str, Any]) -> vol.Schema:
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"""Return schema for peak price period configuration with collapsible sections."""
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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_PEAK_PRICE_MIN_PERIOD_LENGTH,
|
|
default=int(
|
|
options.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=options.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(
|
|
options.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": True},
|
|
),
|
|
vol.Required("flexibility_settings"): section(
|
|
vol.Schema(
|
|
{
|
|
vol.Optional(
|
|
CONF_PEAK_PRICE_FLEX,
|
|
default=int(
|
|
options.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(
|
|
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(
|
|
CONF_ENABLE_MIN_PERIODS_PEAK,
|
|
DEFAULT_ENABLE_MIN_PERIODS_PEAK,
|
|
),
|
|
): BooleanSelector(),
|
|
vol.Optional(
|
|
CONF_MIN_PERIODS_PEAK,
|
|
default=int(
|
|
options.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(
|
|
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.Required("price_trend_thresholds"): section(
|
|
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,
|
|
),
|
|
),
|
|
}
|
|
),
|
|
{"collapsed": True},
|
|
),
|
|
}
|
|
)
|
|
|
|
|
|
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({})
|