hass.tibber_prices/custom_components/tibber_prices/entity_utils/helpers.py
Julian Pawlowski 4876a2cc29 refactor(entity_utils): extract shared helpers from sensor platform
Created entity_utils/helpers.py with platform-agnostic utility functions:
- get_price_value(): Price unit conversion (major/minor currency)
- translate_level(): Price level translation
- translate_rating_level(): Rating level translation
- find_rolling_hour_center_index(): Rolling hour window calculations

These functions moved from sensor/helpers.py as they are used by both
sensor and binary_sensor platforms. Remaining sensor/helpers.py now
contains only sensor-specific helpers (aggregate_price_data, etc.).

Updated imports:
- sensor/core.py: Import from entity_utils instead of sensor.helpers
- entity_utils/icons.py: Fixed find_rolling_hour_center_index import
- binary_sensor platforms: Can now use shared helpers

Added clear docstrings explaining:
- entity_utils/helpers.py: Platform-agnostic utilities
- sensor/helpers.py: Sensor-specific aggregation functions

Impact: Better code reuse, clearer responsibility boundaries between
platform-specific and shared utilities.
2025-11-18 20:07:17 +00:00

128 lines
3.6 KiB
Python

"""
Common helper functions for entities across platforms.
This module provides utility functions used by both sensor and binary_sensor platforms:
- Price value conversion (major/minor currency units)
- Translation helpers (price levels, ratings)
- Time-based calculations (rolling hour center index)
These functions operate on entity-level concepts (states, translations) but are
platform-agnostic and can be used by both sensor and binary_sensor platforms.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from custom_components.tibber_prices.const import get_price_level_translation
from custom_components.tibber_prices.utils.average import (
round_to_nearest_quarter_hour,
)
from homeassistant.util import dt as dt_util
if TYPE_CHECKING:
from datetime import datetime
from homeassistant.core import HomeAssistant
def get_price_value(price: float, *, in_euro: bool) -> float:
"""
Convert price based on unit.
Args:
price: Price value to convert
in_euro: If True, return price in euros; if False, return in cents/øre
Returns:
Price in requested unit (euros or minor currency units)
"""
return price if in_euro else round((price * 100), 2)
def translate_level(hass: HomeAssistant, level: str) -> str:
"""
Translate price level to the user's language.
Args:
hass: HomeAssistant instance for language configuration
level: Price level to translate (e.g., VERY_CHEAP, NORMAL, etc.)
Returns:
Translated level string, or original level if translation not found
"""
if not hass:
return level
language = hass.config.language or "en"
translated = get_price_level_translation(level, language)
if translated:
return translated
if language != "en":
fallback = get_price_level_translation(level, "en")
if fallback:
return fallback
return level
def translate_rating_level(rating: str) -> str:
"""
Translate price rating level to the user's language.
Args:
rating: Price rating to translate (e.g., LOW, NORMAL, HIGH)
Returns:
Translated rating string, or original rating if translation not found
Note:
Currently returns the rating as-is. Translation mapping for ratings
can be added here when needed, similar to translate_level().
"""
# For now, ratings are returned as-is
# Add translation mapping here when needed
return rating
def find_rolling_hour_center_index(
all_prices: list[dict],
current_time: datetime,
hour_offset: int,
) -> int | None:
"""
Find the center index for the rolling hour window.
Args:
all_prices: List of all price interval dictionaries with 'startsAt' key
current_time: Current datetime to find the current interval
hour_offset: Number of hours to offset from current interval (can be negative)
Returns:
Index of the center interval for the rolling hour window, or None if not found
"""
# Round to nearest interval boundary to handle edge cases where HA schedules
# us slightly before the boundary (e.g., 14:59:59.999 → 15:00:00)
target_time = round_to_nearest_quarter_hour(current_time)
current_idx = None
for idx, price_data in enumerate(all_prices):
starts_at = dt_util.parse_datetime(price_data["startsAt"])
if starts_at is None:
continue
starts_at = dt_util.as_local(starts_at)
# Exact match after rounding
if starts_at == target_time:
current_idx = idx
break
if current_idx is None:
return None
return current_idx + (hour_offset * 4)