hass.tibber_prices/custom_components/tibber_prices/const.py
Julian Pawlowski f4568be34e feat(sensors): add price volatility analysis and period filters
Added comprehensive volatility analysis system:
- 4 new volatility sensors (today, tomorrow, next_24h, today+tomorrow)
- Volatility classification (LOW/MODERATE/HIGH/VERY HIGH) based on price spread
- Configurable thresholds in options flow (step 6 of 6)
- Best/Peak price period filters using volatility and price level
- Price spread calculation in get_price service

Volatility sensors help users decide if price-based optimization is worthwhile.
For example, battery optimization only makes sense when volatility ≥ MODERATE.

Period filters allow AND-logic combinations:
- best_price_min_volatility: Only show cheap periods on volatile days
- best_price_max_level: Only show periods when prices reach desired level
- peak_price_min_volatility: Only show peaks on volatile days
- peak_price_min_level: Only show peaks when expensive levels occur

All 5 language files updated (de, en, nb, nl, sv) with:
- Volatility sensor translations (name, states, descriptions)
- Config flow step 6 "Volatility" with threshold settings
- Step progress indicators added to all config steps
- Period filter translations with usage tips

Impact: Users can now assess daily price volatility and configure period
sensors to only activate when conditions justify battery cycling or load
shifting. Reduces unnecessary battery wear on low-volatility days.
2025-11-09 14:24:34 +00:00

681 lines
23 KiB
Python

"""Constants for the Tibber Price Analytics integration."""
import json
import logging
from collections.abc import Sequence
from pathlib import Path
from typing import Any
import aiofiles
from homeassistant.const import (
CURRENCY_DOLLAR,
CURRENCY_EURO,
UnitOfPower,
UnitOfTime,
)
from homeassistant.core import HomeAssistant
DOMAIN = "tibber_prices"
CONF_EXTENDED_DESCRIPTIONS = "extended_descriptions"
CONF_BEST_PRICE_FLEX = "best_price_flex"
CONF_PEAK_PRICE_FLEX = "peak_price_flex"
CONF_BEST_PRICE_MIN_DISTANCE_FROM_AVG = "best_price_min_distance_from_avg"
CONF_PEAK_PRICE_MIN_DISTANCE_FROM_AVG = "peak_price_min_distance_from_avg"
CONF_BEST_PRICE_MIN_PERIOD_LENGTH = "best_price_min_period_length"
CONF_PEAK_PRICE_MIN_PERIOD_LENGTH = "peak_price_min_period_length"
CONF_PRICE_RATING_THRESHOLD_LOW = "price_rating_threshold_low"
CONF_PRICE_RATING_THRESHOLD_HIGH = "price_rating_threshold_high"
CONF_PRICE_TREND_THRESHOLD_RISING = "price_trend_threshold_rising"
CONF_PRICE_TREND_THRESHOLD_FALLING = "price_trend_threshold_falling"
CONF_VOLATILITY_THRESHOLD_MODERATE = "volatility_threshold_moderate"
CONF_VOLATILITY_THRESHOLD_HIGH = "volatility_threshold_high"
CONF_VOLATILITY_THRESHOLD_VERY_HIGH = "volatility_threshold_very_high"
CONF_BEST_PRICE_MIN_VOLATILITY = "best_price_min_volatility"
CONF_PEAK_PRICE_MIN_VOLATILITY = "peak_price_min_volatility"
CONF_MIN_VOLATILITY_FOR_PERIODS = "min_volatility_for_periods" # Deprecated: Use CONF_BEST_PRICE_MIN_VOLATILITY
CONF_BEST_PRICE_MAX_LEVEL = "best_price_max_level"
CONF_PEAK_PRICE_MIN_LEVEL = "peak_price_min_level"
ATTRIBUTION = "Data provided by Tibber"
# Integration name should match manifest.json
DEFAULT_NAME = "Tibber Price Information & Ratings"
DEFAULT_EXTENDED_DESCRIPTIONS = False
DEFAULT_BEST_PRICE_FLEX = 15 # 15% flexibility for best price (user-facing, percent)
DEFAULT_PEAK_PRICE_FLEX = -15 # 15% flexibility for peak price (user-facing, percent)
DEFAULT_BEST_PRICE_MIN_DISTANCE_FROM_AVG = 2 # 2% minimum distance from daily average for best price
DEFAULT_PEAK_PRICE_MIN_DISTANCE_FROM_AVG = 2 # 2% minimum distance from daily average for peak price
DEFAULT_BEST_PRICE_MIN_PERIOD_LENGTH = 60 # 60 minutes minimum period length for best price (user-facing, minutes)
DEFAULT_PEAK_PRICE_MIN_PERIOD_LENGTH = 60 # 60 minutes minimum period length for peak price (user-facing, minutes)
DEFAULT_PRICE_RATING_THRESHOLD_LOW = -10 # Default rating threshold low percentage
DEFAULT_PRICE_RATING_THRESHOLD_HIGH = 10 # Default rating threshold high percentage
DEFAULT_PRICE_TREND_THRESHOLD_RISING = 5 # Default trend threshold for rising prices (%)
DEFAULT_PRICE_TREND_THRESHOLD_FALLING = -5 # Default trend threshold for falling prices (%, negative value)
DEFAULT_VOLATILITY_THRESHOLD_MODERATE = 5.0 # Default threshold for MODERATE volatility (ct/øre)
DEFAULT_VOLATILITY_THRESHOLD_HIGH = 15.0 # Default threshold for HIGH volatility (ct/øre)
DEFAULT_VOLATILITY_THRESHOLD_VERY_HIGH = 30.0 # Default threshold for VERY_HIGH volatility (ct/øre)
DEFAULT_BEST_PRICE_MIN_VOLATILITY = "LOW" # Show best price at any volatility (optimization always useful)
DEFAULT_PEAK_PRICE_MIN_VOLATILITY = "LOW" # Always show peak price (warning relevant even at low spreads)
DEFAULT_MIN_VOLATILITY_FOR_PERIODS = "LOW" # Deprecated: Use DEFAULT_BEST_PRICE_MIN_VOLATILITY
DEFAULT_BEST_PRICE_MAX_LEVEL = "ANY" # Default: show best price periods regardless of price level
DEFAULT_PEAK_PRICE_MIN_LEVEL = "ANY" # Default: show peak price periods regardless of price level
# Home types
HOME_TYPE_APARTMENT = "APARTMENT"
HOME_TYPE_ROWHOUSE = "ROWHOUSE"
HOME_TYPE_HOUSE = "HOUSE"
HOME_TYPE_COTTAGE = "COTTAGE"
# Mapping for home types to their localized names
HOME_TYPES = {
HOME_TYPE_APARTMENT: "Apartment",
HOME_TYPE_ROWHOUSE: "Rowhouse",
HOME_TYPE_HOUSE: "House",
HOME_TYPE_COTTAGE: "Cottage",
}
# Currency mapping: ISO code -> (major_symbol, minor_symbol, minor_name)
# For currencies with Home Assistant constants, use those; otherwise define custom ones
CURRENCY_INFO = {
"EUR": (CURRENCY_EURO, "ct", "cents"),
"NOK": ("kr", "øre", "øre"),
"SEK": ("kr", "öre", "öre"),
"DKK": ("kr", "øre", "øre"),
"USD": (CURRENCY_DOLLAR, "¢", "cents"),
"GBP": ("£", "p", "pence"),
}
def get_currency_info(currency_code: str | None) -> tuple[str, str, str]:
"""
Get currency information for a given ISO currency code.
Args:
currency_code: ISO 4217 currency code (e.g., 'EUR', 'NOK', 'SEK')
Returns:
Tuple of (major_symbol, minor_symbol, minor_name)
Defaults to EUR if currency is not recognized
"""
if not currency_code:
currency_code = "EUR"
return CURRENCY_INFO.get(currency_code.upper(), CURRENCY_INFO["EUR"])
def format_price_unit_major(currency_code: str | None) -> str:
"""
Format the price unit string with major currency unit (e.g., '€/kWh').
Args:
currency_code: ISO 4217 currency code (e.g., 'EUR', 'NOK', 'SEK')
Returns:
Formatted unit string like '€/kWh' or 'kr/kWh'
"""
major_symbol, _, _ = get_currency_info(currency_code)
return f"{major_symbol}/{UnitOfPower.KILO_WATT}{UnitOfTime.HOURS}"
def format_price_unit_minor(currency_code: str | None) -> str:
"""
Format the price unit string with minor currency unit (e.g., 'ct/kWh').
Args:
currency_code: ISO 4217 currency code (e.g., 'EUR', 'NOK', 'SEK')
Returns:
Formatted unit string like 'ct/kWh' or 'øre/kWh'
"""
_, minor_symbol, _ = get_currency_info(currency_code)
return f"{minor_symbol}/{UnitOfPower.KILO_WATT}{UnitOfTime.HOURS}"
def calculate_volatility_level(
spread: float,
threshold_moderate: float | None = None,
threshold_high: float | None = None,
threshold_very_high: float | None = None,
) -> str:
"""
Calculate volatility level from price spread.
Volatility indicates how much prices fluctuate during a period, which helps
determine whether active load shifting is worthwhile.
Args:
spread: Absolute price difference between max and min (in minor currency units, e.g., ct or øre)
threshold_moderate: Custom threshold for MODERATE level (default: use VOLATILITY_THRESHOLD_MODERATE)
threshold_high: Custom threshold for HIGH level (default: use VOLATILITY_THRESHOLD_HIGH)
threshold_very_high: Custom threshold for VERY_HIGH level (default: use VOLATILITY_THRESHOLD_VERY_HIGH)
Returns:
Volatility level: LOW, MODERATE, HIGH, or VERY_HIGH
Examples:
- spread < 5: LOW → minimal optimization potential
- 5 ≤ spread < 15: MODERATE → some optimization worthwhile
- 15 ≤ spread < 30: HIGH → strong optimization recommended
- spread ≥ 30: VERY_HIGH → maximum optimization potential
"""
# Use provided thresholds or fall back to constants
t_moderate = threshold_moderate if threshold_moderate is not None else VOLATILITY_THRESHOLD_MODERATE
t_high = threshold_high if threshold_high is not None else VOLATILITY_THRESHOLD_HIGH
t_very_high = threshold_very_high if threshold_very_high is not None else VOLATILITY_THRESHOLD_VERY_HIGH
if spread < t_moderate:
return VOLATILITY_LOW
if spread < t_high:
return VOLATILITY_MODERATE
if spread < t_very_high:
return VOLATILITY_HIGH
return VOLATILITY_VERY_HIGH
# Price level constants from Tibber API
PRICE_LEVEL_VERY_CHEAP = "VERY_CHEAP"
PRICE_LEVEL_CHEAP = "CHEAP"
PRICE_LEVEL_NORMAL = "NORMAL"
PRICE_LEVEL_EXPENSIVE = "EXPENSIVE"
PRICE_LEVEL_VERY_EXPENSIVE = "VERY_EXPENSIVE"
# Price rating constants (calculated values)
PRICE_RATING_LOW = "LOW"
PRICE_RATING_NORMAL = "NORMAL"
PRICE_RATING_HIGH = "HIGH"
# Price volatility levels (based on spread between min and max)
VOLATILITY_LOW = "LOW"
VOLATILITY_MODERATE = "MODERATE"
VOLATILITY_HIGH = "HIGH"
VOLATILITY_VERY_HIGH = "VERY_HIGH"
# Volatility thresholds (in minor currency units like ct or øre)
VOLATILITY_THRESHOLD_MODERATE = 5 # Below this: LOW, above: MODERATE
VOLATILITY_THRESHOLD_HIGH = 15 # Below this: MODERATE, above: HIGH
VOLATILITY_THRESHOLD_VERY_HIGH = 30 # Below this: HIGH, above: VERY_HIGH
# Sensor options (lowercase versions for ENUM device class)
# NOTE: These constants define the valid enum options, but they are not used directly
# in sensor.py due to import timing issues. Instead, the options are defined inline
# in the SensorEntityDescription objects. Keep these in sync with sensor.py!
PRICE_LEVEL_OPTIONS = [
PRICE_LEVEL_VERY_CHEAP.lower(),
PRICE_LEVEL_CHEAP.lower(),
PRICE_LEVEL_NORMAL.lower(),
PRICE_LEVEL_EXPENSIVE.lower(),
PRICE_LEVEL_VERY_EXPENSIVE.lower(),
]
PRICE_RATING_OPTIONS = [
PRICE_RATING_LOW.lower(),
PRICE_RATING_NORMAL.lower(),
PRICE_RATING_HIGH.lower(),
]
VOLATILITY_OPTIONS = [
VOLATILITY_LOW.lower(),
VOLATILITY_MODERATE.lower(),
VOLATILITY_HIGH.lower(),
VOLATILITY_VERY_HIGH.lower(),
]
# Valid options for minimum volatility filter for periods
MIN_VOLATILITY_FOR_PERIODS_OPTIONS = [
VOLATILITY_LOW, # Show at any volatility (≥0ct spread) - no filter
VOLATILITY_MODERATE, # Only show periods when volatility ≥ MODERATE (≥5ct)
VOLATILITY_HIGH, # Only show periods when volatility ≥ HIGH (≥15ct)
VOLATILITY_VERY_HIGH, # Only show periods when volatility ≥ VERY_HIGH (≥30ct)
]
# Valid options for best price maximum level filter (AND-linked with volatility filter)
# Sorted from cheap to expensive: user selects "up to how expensive"
BEST_PRICE_MAX_LEVEL_OPTIONS = [
"ANY", # No filter, allow all price levels
PRICE_LEVEL_VERY_CHEAP, # Only show if level ≤ VERY_CHEAP
PRICE_LEVEL_CHEAP, # Only show if level ≤ CHEAP
PRICE_LEVEL_NORMAL, # Only show if level ≤ NORMAL
PRICE_LEVEL_EXPENSIVE, # Only show if level ≤ EXPENSIVE
]
# Valid options for peak price minimum level filter (AND-linked with volatility filter)
# Sorted from expensive to cheap: user selects "starting from how expensive"
PEAK_PRICE_MIN_LEVEL_OPTIONS = [
"ANY", # No filter, allow all price levels
PRICE_LEVEL_EXPENSIVE, # Only show if level ≥ EXPENSIVE
PRICE_LEVEL_NORMAL, # Only show if level ≥ NORMAL
PRICE_LEVEL_CHEAP, # Only show if level ≥ CHEAP
PRICE_LEVEL_VERY_CHEAP, # Only show if level ≥ VERY_CHEAP
]
# Deprecated: Use BEST_PRICE_MAX_LEVEL_OPTIONS or PEAK_PRICE_MIN_LEVEL_OPTIONS instead
MAX_LEVEL_FOR_PERIODS_OPTIONS = BEST_PRICE_MAX_LEVEL_OPTIONS
# Mapping for comparing price levels (used for sorting)
PRICE_LEVEL_MAPPING = {
PRICE_LEVEL_VERY_CHEAP: -2,
PRICE_LEVEL_CHEAP: -1,
PRICE_LEVEL_NORMAL: 0,
PRICE_LEVEL_EXPENSIVE: 1,
PRICE_LEVEL_VERY_EXPENSIVE: 2,
}
# Mapping for comparing price ratings (used for sorting)
PRICE_RATING_MAPPING = {
PRICE_RATING_LOW: -1,
PRICE_RATING_NORMAL: 0,
PRICE_RATING_HIGH: 1,
}
# Mapping for comparing volatility levels (used for sorting)
VOLATILITY_MAPPING = {
VOLATILITY_LOW: 0,
VOLATILITY_MODERATE: 1,
VOLATILITY_HIGH: 2,
VOLATILITY_VERY_HIGH: 3,
}
LOGGER = logging.getLogger(__package__)
# Path to custom translations directory
CUSTOM_TRANSLATIONS_DIR = Path(__file__).parent / "custom_translations"
# Path to standard translations directory
TRANSLATIONS_DIR = Path(__file__).parent / "translations"
# Cache for translations to avoid repeated file reads
_TRANSLATIONS_CACHE: dict[str, dict] = {}
# Cache for standard translations (config flow, home_types, etc.)
_STANDARD_TRANSLATIONS_CACHE: dict[str, dict] = {}
async def async_load_translations(hass: HomeAssistant, language: str) -> dict:
"""
Load translations from file asynchronously.
Args:
hass: HomeAssistant instance
language: The language code to load
Returns:
The loaded translations as a dictionary
"""
# Use a key that includes the language parameter
cache_key = f"{DOMAIN}_translations_{language}"
# Check if we have an instance in hass.data
if cache_key in hass.data:
return hass.data[cache_key]
# Check the module-level cache
if language in _TRANSLATIONS_CACHE:
return _TRANSLATIONS_CACHE[language]
# Determine the file path
file_path = CUSTOM_TRANSLATIONS_DIR / f"{language}.json"
if not file_path.exists():
# Fall back to English if requested language not found
file_path = CUSTOM_TRANSLATIONS_DIR / "en.json"
if not file_path.exists():
LOGGER.debug("No custom translations found at %s", file_path)
empty_cache = {}
_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
try:
# Read the file asynchronously
async with aiofiles.open(file_path, encoding="utf-8") as f:
content = await f.read()
translations = json.loads(content)
# Store in both caches for future calls
_TRANSLATIONS_CACHE[language] = translations
hass.data[cache_key] = translations
return translations
except (OSError, json.JSONDecodeError) as err:
LOGGER.warning("Error loading custom translations file: %s", err)
empty_cache = {}
_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
except Exception: # pylint: disable=broad-except
LOGGER.exception("Unexpected error loading custom translations")
empty_cache = {}
_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
async def async_load_standard_translations(hass: HomeAssistant, language: str) -> dict:
"""
Load standard translations from the translations directory asynchronously.
These are the config flow and home_types translations used in the UI.
Args:
hass: HomeAssistant instance
language: The language code to load
Returns:
The loaded translations as a dictionary
"""
cache_key = f"{DOMAIN}_standard_translations_{language}"
# Check if we have an instance in hass.data
if cache_key in hass.data:
return hass.data[cache_key]
# Check the module-level cache
if language in _STANDARD_TRANSLATIONS_CACHE:
return _STANDARD_TRANSLATIONS_CACHE[language]
# Determine the file path
file_path = TRANSLATIONS_DIR / f"{language}.json"
if not file_path.exists():
# Fall back to English if requested language not found
file_path = TRANSLATIONS_DIR / "en.json"
if not file_path.exists():
LOGGER.debug("No standard translations found at %s", file_path)
empty_cache = {}
_STANDARD_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
try:
# Read the file asynchronously
async with aiofiles.open(file_path, encoding="utf-8") as f:
content = await f.read()
translations = json.loads(content)
# Store in both caches for future calls
_STANDARD_TRANSLATIONS_CACHE[language] = translations
hass.data[cache_key] = translations
return translations
except (OSError, json.JSONDecodeError) as err:
LOGGER.warning("Error loading standard translations file: %s", err)
empty_cache = {}
_STANDARD_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
except Exception: # pylint: disable=broad-except
LOGGER.exception("Unexpected error loading standard translations")
empty_cache = {}
_STANDARD_TRANSLATIONS_CACHE[language] = empty_cache
hass.data[cache_key] = empty_cache
return empty_cache
async def async_get_translation(
hass: HomeAssistant,
path: Sequence[str],
language: str = "en",
) -> Any:
"""
Get a translation value by path asynchronously.
Checks standard translations first, then custom translations.
Args:
hass: HomeAssistant instance
path: A sequence of keys defining the path to the translation value
language: The language code (defaults to English)
Returns:
The translation value if found, None otherwise
"""
# Try standard translations first (config flow, home_types, etc.)
translations = await async_load_standard_translations(hass, language)
# Navigate to the requested path
current = translations
for key in path:
if not isinstance(current, dict) or key not in current:
break
current = current.get(key)
else:
# If we successfully navigated to the end, return the value
return current
# Fall back to custom translations if not found in standard translations
translations = await async_load_translations(hass, language)
# Navigate to the requested path
current = translations
for key in path:
if not isinstance(current, dict) or key not in current:
return None
current = current[key]
return current
def get_translation(
path: Sequence[str],
language: str = "en",
) -> Any:
"""
Get a translation value by path synchronously from the cache.
This function only accesses the cached translations to avoid blocking I/O.
Checks standard translations first, then custom translations.
Args:
path: A sequence of keys defining the path to the translation value
language: The language code (defaults to English)
Returns:
The translation value if found in cache, None otherwise
"""
def _navigate_dict(d: dict, keys: Sequence[str]) -> Any:
"""Navigate through nested dict following the keys path."""
current = d
for key in keys:
if not isinstance(current, dict) or key not in current:
return None
current = current[key]
return current
def _get_from_cache(cache: dict[str, dict], lang: str) -> Any:
"""Get translation from cache with fallback to English."""
if lang in cache:
result = _navigate_dict(cache[lang], path)
if result is not None:
return result
# Fallback to English if not found in requested language
if lang != "en" and "en" in cache:
result = _navigate_dict(cache["en"], path)
if result is not None:
return result
return None
# Try standard translations first
result = _get_from_cache(_STANDARD_TRANSLATIONS_CACHE, language)
if result is not None:
return result
# Fall back to custom translations
result = _get_from_cache(_TRANSLATIONS_CACHE, language)
if result is not None:
return result
# Log the missing key for debugging
LOGGER.debug("Translation key '%s' not found for language %s", path, language)
return None
# Convenience functions for backward compatibility and common usage patterns
async def async_get_entity_description(
hass: HomeAssistant,
entity_type: str,
entity_key: str,
language: str = "en",
field: str = "description",
) -> str | None:
"""
Get a specific field from the entity's custom translations asynchronously.
Args:
hass: HomeAssistant instance
entity_type: The type of entity (sensor, binary_sensor, etc.)
entity_key: The key of the entity
language: The language code (defaults to English)
field: The field to retrieve (description, long_description, usage_tips)
Returns:
The requested field's value if found, None otherwise
"""
entity_data = await async_get_translation(hass, [entity_type, entity_key], language)
# Handle the case where entity_data is a string (for description field)
if isinstance(entity_data, str) and field == "description":
return entity_data
# Handle the case where entity_data is a dict
if isinstance(entity_data, dict) and field in entity_data:
return entity_data[field]
return None
def get_entity_description(
entity_type: str,
entity_key: str,
language: str = "en",
field: str = "description",
) -> str | None:
"""
Get entity description synchronously from the cache.
This function only accesses the cached translations to avoid blocking I/O.
Args:
entity_type: The type of entity
entity_key: The key of the entity
language: The language code
field: The field to retrieve
Returns:
The requested field's value if found in cache, None otherwise
"""
entity_data = get_translation([entity_type, entity_key], language)
# Handle the case where entity_data is a string (for description field)
if isinstance(entity_data, str) and field == "description":
return entity_data
# Handle the case where entity_data is a dict
if isinstance(entity_data, dict) and field in entity_data:
return entity_data[field]
return None
async def async_get_price_level_translation(
hass: HomeAssistant,
level: str,
language: str = "en",
) -> str | None:
"""
Get a localized translation for a price level asynchronously.
Args:
hass: HomeAssistant instance
level: The price level (e.g., VERY_CHEAP, NORMAL, etc.)
language: The language code (defaults to English)
Returns:
The localized price level if found, None otherwise
"""
return await async_get_translation(hass, ["sensor", "price_level", "price_levels", level], language)
def get_price_level_translation(
level: str,
language: str = "en",
) -> str | None:
"""
Get a localized translation for a price level synchronously from the cache.
This function only accesses the cached translations to avoid blocking I/O.
Args:
level: The price level (e.g., VERY_CHEAP, NORMAL, etc.)
language: The language code (defaults to English)
Returns:
The localized price level if found in cache, None otherwise
"""
return get_translation(["sensor", "price_level", "price_levels", level], language)
async def async_get_home_type_translation(
hass: HomeAssistant,
home_type: str,
language: str = "en",
) -> str | None:
"""
Get a localized translation for a home type asynchronously.
Args:
hass: HomeAssistant instance
home_type: The home type (e.g., APARTMENT, HOUSE, etc.)
language: The language code (defaults to English)
Returns:
The localized home type if found, None otherwise
"""
return await async_get_translation(hass, ["home_types", home_type], language)
def get_home_type_translation(
home_type: str,
language: str = "en",
) -> str | None:
"""
Get a localized translation for a home type synchronously from the cache.
This function only accesses the cached translations to avoid blocking I/O.
Args:
home_type: The home type (e.g., APARTMENT, HOUSE, etc.)
language: The language code (defaults to English)
Returns:
The localized home type if found in cache, fallback to HOME_TYPES dict, or None
"""
translated = get_translation(["home_types", home_type], language)
if translated:
return translated
fallback = HOME_TYPES.get(home_type)
LOGGER.debug(
"No translation found for home type '%s' in language '%s', using fallback: %s. "
"Available caches: standard=%s, custom=%s",
home_type,
language,
fallback,
list(_STANDARD_TRANSLATIONS_CACHE.keys()),
list(_TRANSLATIONS_CACHE.keys()),
)
return fallback