mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-30 21:33:39 +00:00
c2b9908e69
Renamed 25 public classes + 1 Enum to include TibberPrices prefix
following Home Assistant integration naming standards.
All classes now follow pattern: TibberPrices{SemanticPurpose}
No package hierarchy in names (import path is namespace).
Key changes:
- Coordinator module: DataFetcher, DataTransformer, ListenerManager,
PeriodCalculator, TimeService (203 usages), CacheData
- Config flow: CannotConnectError, InvalidAuthError
- Entity utils: IconContext
- Sensor calculators: BaseCalculator + 8 subclasses
- Period handlers: 5 NamedTuples (PeriodConfig, PeriodData,
PeriodStatistics, ThresholdConfig, IntervalCriteria)
- Period handlers: SpikeCandidateContext (dataclass → NamedTuple)
- API: QueryType Enum
Documentation updates:
- AGENTS.md: Added Pyright code generation guidelines
- planning/class-naming-refactoring-plan.md: Complete execution log
Quality metrics:
- 0 Pyright errors (strict type checking)
- 0 Ruff errors (linting + formatting)
- All hassfest checks passed
- 79 files validated
Impact: Aligns with HA Core standards (TibberDataCoordinator pattern).
No user-facing changes - internal refactor only.
127 lines
3.6 KiB
Python
127 lines
3.6 KiB
Python
"""
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Common helper functions for entities across platforms.
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This module provides utility functions used by both sensor and binary_sensor platforms:
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- Price value conversion (major/minor currency units)
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- Translation helpers (price levels, ratings)
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- Time-based calculations (rolling hour center index)
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These functions operate on entity-level concepts (states, translations) but are
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platform-agnostic and can be used by both sensor and binary_sensor platforms.
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING
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from custom_components.tibber_prices.const import get_price_level_translation
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if TYPE_CHECKING:
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from datetime import datetime
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from custom_components.tibber_prices.coordinator.time_service import TibberPricesTimeService
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from homeassistant.core import HomeAssistant
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def get_price_value(price: float, *, in_euro: bool) -> float:
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"""
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Convert price based on unit.
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Args:
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price: Price value to convert
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in_euro: If True, return price in euros; if False, return in cents/øre
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Returns:
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Price in requested unit (euros or minor currency units)
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"""
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return price if in_euro else round((price * 100), 2)
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def translate_level(hass: HomeAssistant, level: str) -> str:
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"""
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Translate price level to the user's language.
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Args:
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hass: HomeAssistant instance for language configuration
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level: Price level to translate (e.g., VERY_CHEAP, NORMAL, etc.)
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Returns:
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Translated level string, or original level if translation not found
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"""
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if not hass:
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return level
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language = hass.config.language or "en"
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translated = get_price_level_translation(level, language)
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if translated:
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return translated
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if language != "en":
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fallback = get_price_level_translation(level, "en")
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if fallback:
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return fallback
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return level
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def translate_rating_level(rating: str) -> str:
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"""
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Translate price rating level to the user's language.
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Args:
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rating: Price rating to translate (e.g., LOW, NORMAL, HIGH)
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Returns:
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Translated rating string, or original rating if translation not found
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Note:
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Currently returns the rating as-is. Translation mapping for ratings
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can be added here when needed, similar to translate_level().
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"""
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# For now, ratings are returned as-is
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# Add translation mapping here when needed
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return rating
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def find_rolling_hour_center_index(
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all_prices: list[dict],
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current_time: datetime,
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hour_offset: int,
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*,
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time: TibberPricesTimeService,
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) -> int | None:
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"""
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Find the center index for the rolling hour window.
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Args:
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all_prices: List of all price interval dictionaries with 'startsAt' key
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current_time: Current datetime to find the current interval
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hour_offset: Number of hours to offset from current interval (can be negative)
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time: TibberPricesTimeService instance (required)
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Returns:
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Index of the center interval for the rolling hour window, or None if not found
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"""
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# Round to nearest interval boundary to handle edge cases where HA schedules
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# us slightly before the boundary (e.g., 14:59:59.999 → 15:00:00)
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target_time = time.round_to_nearest_quarter(current_time)
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current_idx = None
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for idx, price_data in enumerate(all_prices):
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starts_at = time.get_interval_time(price_data)
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if starts_at is None:
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continue
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# Exact match after rounding
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if starts_at == target_time:
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current_idx = idx
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break
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if current_idx is None:
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return None
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return current_idx + (hour_offset * 4)
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