jpawlowski/hass.tibber_prices
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hass.tibber_prices/custom_components/tibber_prices/utils
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Julian Pawlowski 64cf842719 fix(rating): improve gap tolerance to find dominant large blocks 
The gap tolerance algorithm now looks through small intermediate blocks
to find the first LARGE block (> gap_tolerance) in each direction.
This ensures small isolated rating intervals are merged into the
correct dominant block, not just the nearest neighbor.

Example: NORMAL(large) HIGH(1) NORMAL(1) HIGH(large)
Before: HIGH at 05:45 merged into NORMAL (wrong - nearest neighbor)
After:  NORMAL at 06:00 merged into HIGH (correct - dominant block)

Also collects all merge decisions BEFORE applying them, preventing
order-dependent outcomes when multiple small blocks are adjacent.

Impact: Rating transitions now appear at visually logical positions
where prices actually change direction, not at arbitrary boundaries.
2025-12-22 13:28:25 +00:00
..
__init__.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
average.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
price.py fix(rating): improve gap tolerance to find dominant large blocks 2025-12-22 13:28:25 +00:00