mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-30 05:13:40 +00:00
981fb08a69
- Introduced `get_intervals_for_day_offsets` helper to streamline access to price intervals for yesterday, today, and tomorrow. - Updated various components to replace direct access to `priceInfo` with the new helper, ensuring a flat structure for price intervals. - Adjusted calculations and data processing methods to accommodate the new data structure. - Enhanced documentation to reflect changes in caching strategy and data structure.
90 lines
3.5 KiB
Python
90 lines
3.5 KiB
Python
"""Attribute builders for lifecycle diagnostic sensor."""
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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 custom_components.tibber_prices.coordinator.core import (
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TibberPricesDataUpdateCoordinator,
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)
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from custom_components.tibber_prices.sensor.calculators.lifecycle import (
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TibberPricesLifecycleCalculator,
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)
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# Constants for cache age formatting
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MINUTES_PER_HOUR = 60
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MINUTES_PER_DAY = 1440 # 24 * 60
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def build_lifecycle_attributes(
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coordinator: TibberPricesDataUpdateCoordinator,
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lifecycle_calculator: TibberPricesLifecycleCalculator,
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) -> dict[str, Any]:
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"""
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Build attributes for data_lifecycle_status sensor.
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Shows comprehensive cache status, data availability, and update timing.
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Returns:
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Dict with lifecycle attributes
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"""
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attributes: dict[str, Any] = {}
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# Cache Status (formatted for readability)
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cache_age = lifecycle_calculator.get_cache_age_minutes()
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if cache_age is not None:
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# Format cache age with units for better readability
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if cache_age < MINUTES_PER_HOUR:
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attributes["cache_age"] = f"{cache_age} min"
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elif cache_age < MINUTES_PER_DAY: # Less than 24 hours
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hours = cache_age // MINUTES_PER_HOUR
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minutes = cache_age % MINUTES_PER_HOUR
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attributes["cache_age"] = f"{hours}h {minutes}min" if minutes > 0 else f"{hours}h"
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else: # 24+ hours
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days = cache_age // MINUTES_PER_DAY
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hours = (cache_age % MINUTES_PER_DAY) // MINUTES_PER_HOUR
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attributes["cache_age"] = f"{days}d {hours}h" if hours > 0 else f"{days}d"
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# Keep raw value for automations
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attributes["cache_age_minutes"] = cache_age
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cache_validity = lifecycle_calculator.get_cache_validity_status()
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attributes["cache_validity"] = cache_validity
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if coordinator._last_price_update: # noqa: SLF001 - Internal state access for diagnostic display
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attributes["last_api_fetch"] = coordinator._last_price_update.isoformat() # noqa: SLF001
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attributes["last_cache_update"] = coordinator._last_price_update.isoformat() # noqa: SLF001
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# Data Availability & Completeness
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data_completeness = lifecycle_calculator.get_data_completeness_status()
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attributes["data_completeness"] = data_completeness
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attributes["yesterday_available"] = lifecycle_calculator.is_data_available(-1)
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attributes["today_available"] = lifecycle_calculator.is_data_available(0)
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attributes["tomorrow_available"] = lifecycle_calculator.is_data_available(1)
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attributes["tomorrow_expected_after"] = "13:00"
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# Next Actions (only show if meaningful)
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next_poll = lifecycle_calculator.get_next_api_poll_time()
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if next_poll: # None means data is complete, no more polls needed
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attributes["next_api_poll"] = next_poll.isoformat()
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next_midnight = lifecycle_calculator.get_next_midnight_turnover_time()
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attributes["next_midnight_turnover"] = next_midnight.isoformat()
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# Update Statistics
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api_calls = lifecycle_calculator.get_api_calls_today()
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attributes["updates_today"] = api_calls
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# Last Turnover Time (from midnight handler)
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if coordinator._midnight_handler.last_turnover_time: # noqa: SLF001 - Internal state access for diagnostic display
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attributes["last_turnover"] = coordinator._midnight_handler.last_turnover_time.isoformat() # noqa: SLF001
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# Last Error (if any)
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if coordinator.last_exception:
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attributes["last_error"] = str(coordinator.last_exception)
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return attributes
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