hass.tibber_prices/custom_components/tibber_prices/sensor/attributes
Julian Pawlowski abb02083a7 feat(sensors): always show both mean and median in average sensor attributes
Implemented configurable display format (mean/median/both) while always
calculating and exposing both price_mean and price_median attributes.

Core changes:
- utils/average.py: Refactored calculate_mean_median() to always return both
  values, added comprehensive None handling (117 lines changed)
- sensor/attributes/helpers.py: Always include both attributes regardless of
  user display preference (41 lines)
- sensor/core.py: Dynamic _unrecorded_attributes based on display setting
  (55 lines), extracted helper methods to reduce complexity
- Updated all calculators (rolling_hour, trend, volatility, window_24h) to
  use new always-both approach

Impact: Users can switch display format in UI without losing historical data.
Automation authors always have access to both statistical measures.
2025-12-18 15:12:30 +00:00
..
__init__.py feat(sensors)!: add configurable median/mean display for average sensors 2025-12-08 17:53:40 +00:00
daily_stat.py feat(sensors)!: add configurable median/mean display for average sensors 2025-12-08 17:53:40 +00:00
future.py refactor(currency)!: rename major/minor to base/subunit currency terminology 2025-12-11 08:26:30 +00:00
helpers.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
interval.py feat(sensors)!: add configurable median/mean display for average sensors 2025-12-08 17:53:40 +00:00
lifecycle.py fix(periods): Periods are now correctly recalculated after tomorrow prices became available. 2025-12-09 16:57:57 +00:00
metadata.py refactor(price_info): price data handling to use unified interval retrieval 2025-11-24 10:49:34 +00:00
timing.py refactor(naming): complete class naming convention alignment 2025-11-20 11:22:53 +00:00
trend.py refactor(naming): complete class naming convention alignment 2025-11-20 11:22:53 +00:00
volatility.py fix(periods): Periods are now correctly recalculated after tomorrow prices became available. 2025-12-09 16:57:57 +00:00
window_24h.py feat(sensors)!: add configurable median/mean display for average sensors 2025-12-08 17:53:40 +00:00