jpawlowski/hass.tibber_prices
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hass.tibber_prices/custom_components/tibber_prices/sensor/calculators
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Julian Pawlowski 447dc907e6 feat(sensors): add day pattern detection sensors (valley/peak/flat/rising/falling) 
Introduces a new day_pattern.py module that analyses the 15-min price curve
for each calendar day (yesterday/today/tomorrow) and classifies its shape.

New sensors:
  day_pattern_yesterday / day_pattern_today / day_pattern_tomorrow
  EntityCategory.DIAGNOSTIC, SensorDeviceClass.ENUM

Patterns: valley, peak, double_valley, double_peak, flat, rising, falling, mixed

The detector uses centred-rolling smoothing, prominence-filtered extrema,
Kneedle-based knee detection, and monotone segment building.
Coordinator populates transformed_data["dayPatterns"] after priceInfo enrichment.

Impact: Users can trigger automations based on the shape of the day's price
curve, e.g. pre-heat when tomorrow is a valley day.
2026-04-11 21:07:16 +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 fix(volatility): expose price coefficient variation attribute 2025-12-25 19:10:42 +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