hass.tibber_prices/custom_components/tibber_prices/sensor/calculators
Julian Pawlowski 51a62d712f feat(sensor): add next/previous/rolling-hour price rank sensors
Rename the three existing price rank sensors from price_rank_* to
current_interval_price_rank_* to clarify they rank the current
quarter-hour interval's price, not a daily aggregate — consistent with
current_interval_price_level / current_interval_price_rating naming.

Add 8 new rank sensors covering additional subjects and reference windows:
- next_interval_price_rank_{today,today_tomorrow}
- previous_interval_price_rank_{today,today_tomorrow}
- current_hour_price_rank_{today,today_tomorrow}   (5-interval rolling avg)
- next_hour_price_rank_{today,today_tomorrow}       (5-interval rolling avg)

All new sensors are disabled by default. The volatility calculator gains a
subject parameter (_get_subject_price / _get_subject_price_attr_key /
_get_rolling_hour_avg_price) to select which price to rank. Sensor key
routing in value_getters.py and attributes/__init__.py updated accordingly.

No migration entries needed — the original price_rank_* sensors were never
released to users.

All 5 translation files updated. sensor-reference.md regenerated (129 entities).

Impact: Users can now track price rank for the next interval (look-ahead),
the previous interval (logging), and rolling hourly averages — for both
same-day and two-day reference windows.
2026-04-12 15:02:27 +00:00
..
__init__.py feat(sensor): add data lifecycle diagnostic sensor with push updates 2025-11-20 15:12:41 +00:00
base.py refactor(price_info): price data handling to use unified interval retrieval 2025-11-24 10:49:34 +00:00
daily_stat.py feat(sensors): expose energy/tax breakdown as sensor attributes 2026-04-09 18:27:36 +00:00
interval.py refactor(currency)!: rename major/minor to base/subunit currency terminology 2025-12-11 08:26:30 +00:00
lifecycle.py fix(sensor): streamline lifecycle attrs and next poll visibility 2025-12-26 12:13:36 +00:00
metadata.py feat(sensors): add day pattern detection sensors (valley/peak/flat/rising/falling) 2026-04-11 21:07:16 +00:00
rolling_hour.py refactor(sensor): replace redundant pass-through lambdas with direct references 2026-04-06 14:28:51 +00:00
timing.py fix(docs): correct inaccuracies and add missing documentation 2026-04-11 11:51:52 +00:00
trend.py fix(lint): apply Python 3.14 ruff rules and update HA minimum version 2026-04-11 10:56:34 +00:00
volatility.py feat(sensor): add next/previous/rolling-hour price rank sensors 2026-04-12 15:02:27 +00:00
window_24h.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00