hass.tibber_prices/custom_components/tibber_prices/const.py
Julian Pawlowski 9640b041e0 refactor(periods): move all period logic to coordinator and refactor period_utils
Moved filter logic and all period attribute calculations from binary_sensor.py
to coordinator.py and period_utils.py, following Home Assistant best practices
for data flow architecture.

ARCHITECTURE CHANGES:

Binary Sensor Simplification (~225 lines removed):
- Removed _build_periods_summary, _add_price_diff_for_period (calculation logic)
- Removed _get_period_intervals_from_price_info (107 lines, interval reconstruction)
- Removed _should_show_periods, _check_volatility_filter, _check_level_filter
- Removed _build_empty_periods_result (filtering result builder)
- Removed _get_price_hours_attributes (24 lines, dead code)
- Removed datetime import (unused after cleanup)
- New: _build_final_attributes_simple (~20 lines, timestamp-only)
- Result: Pure display-only logic, reads pre-calculated data from coordinator

Coordinator Enhancement (+160 lines):
- Added _should_show_periods(): UND-Verknüpfung of volatility and level filters
- Added _check_volatility_filter(): Checks min_volatility threshold
- Added _check_level_filter(): Checks min/max level bounds
- Enhanced _calculate_periods_for_price_info(): Applies filters before period calculation
- Returns empty periods when filters don't match (instead of calculating unnecessarily)
- Passes volatility thresholds (moderate/high/very_high) to PeriodConfig

Period Utils Refactoring (+110 lines):
- Extended PeriodConfig with threshold_volatility_moderate/high/very_high
- Added PeriodData NamedTuple: Groups timing data (start, end, length, position)
- Added PeriodStatistics NamedTuple: Groups calculated stats (prices, volatility, ratings)
- Added ThresholdConfig NamedTuple: Groups all thresholds + reverse_sort flag
- New _calculate_period_price_statistics(): Extracts price_avg/min/max/spread calculation
- New _build_period_summary_dict(): Builds final dict with correct attribute ordering
- Enhanced _extract_period_summaries(): Now calculates ALL attributes (no longer lightweight):
  * price_avg, price_min, price_max, price_spread (in minor units: ct/øre)
  * volatility (low/moderate/high/very_high based on absolute thresholds)
  * rating_difference_% (average of interval differences)
  * period_price_diff_from_daily_min/max (period avg vs daily reference)
  * aggregated level and rating_level
  * period_interval_count (renamed from interval_count for clarity)
- Removed interval_starts array (redundant - start/end/count sufficient)
- Function signature refactored from 9→4 parameters using NamedTuples

Code Organization (HA Best Practice):
- Moved calculate_volatility_level() from const.py to price_utils.py
- Rule: const.py should contain only constants, no functions
- Removed duplicate VOLATILITY_THRESHOLD_* constants from const.py
- Updated imports in sensor.py, services.py, period_utils.py

DATA FLOW:

Before:
API → Coordinator (basic enrichment) → Binary Sensor (calculate everything on each access)

After:
API → Coordinator (enrichment + filtering + period calculation with ALL attributes) →
      Cached Data → Binary Sensor (display + timestamp only)

ATTRIBUTE STRUCTURE:

Period summaries now contain (following copilot-instructions.md ordering):
1. Time: start, end, duration_minutes
2. Decision: level, rating_level, rating_difference_%
3. Prices: price_avg, price_min, price_max, price_spread, volatility
4. Differences: period_price_diff_from_daily_min/max (conditional)
5. Details: period_interval_count, period_position
6. Meta: periods_total, periods_remaining

BREAKING CHANGES: None
- Period data structure enhanced but backwards compatible
- Binary sensor API unchanged (state + attributes)

Impact: Binary sensors now display pre-calculated data from coordinator instead
of calculating on every access. Reduces complexity, improves performance, and
centralizes business logic following Home Assistant coordinator pattern. All
period filtering (volatility + level) now happens in coordinator before caching.
2025-11-09 23:46:48 +00:00

629 lines
21 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_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_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}"
# 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"
# 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.lower(), # Show at any volatility (≥0ct spread) - no filter
VOLATILITY_MODERATE.lower(), # Only show periods when volatility ≥ MODERATE (≥5ct)
VOLATILITY_HIGH.lower(), # Only show periods when volatility ≥ HIGH (≥15ct)
VOLATILITY_VERY_HIGH.lower(), # 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.lower(), # Only show if level ≤ VERY_CHEAP
PRICE_LEVEL_CHEAP.lower(), # Only show if level ≤ CHEAP
PRICE_LEVEL_NORMAL.lower(), # Only show if level ≤ NORMAL
PRICE_LEVEL_EXPENSIVE.lower(), # 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.lower(), # Only show if level ≥ EXPENSIVE
PRICE_LEVEL_NORMAL.lower(), # Only show if level ≥ NORMAL
PRICE_LEVEL_CHEAP.lower(), # Only show if level ≥ CHEAP
PRICE_LEVEL_VERY_CHEAP.lower(), # Only show if level ≥ VERY_CHEAP
]
# 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