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2 commits

Author SHA1 Message Date
Julian Pawlowski
1d065b11cd fix(services): use injected now in resolve_search_range day offset
_resolve_time_with_day_offset() was calling dt_util.now() internally
instead of using the injected now parameter. This caused incorrect date
calculations in tests and any caller that passes a specific reference time.

Also add missing price_rank_* sensor keys to TIME_SENSITIVE_ENTITY_KEYS
in coordinator/constants.py so quarter-hour refresh is registered for all
11 price rank sensors (current/next/previous interval and hour variants).

Rename dt as dt_utils → dt as dt_util (ICN001) across 11 files to follow
the project-wide import alias convention. Apply ruff auto-fixes for import
ordering and collapsing single-item imports throughout the codebase.

Released-Bug: no
2026-04-14 19:33:24 +00:00
Julian Pawlowski
9c3c094305 fix(calculations): handle negative electricity prices correctly
Fixed multiple calculation issues with negative prices (Norway/Germany
renewable surplus scenarios):

Bug #6: Rating threshold validation with dead code
- Added threshold validation (low >= high) with warning
- Returns NORMAL as fallback for misconfigured thresholds

Bug #7: Min/Max functions returning 0.0 instead of None
- Changed default from 0.0 to None when window is empty
- Prevents misinterpretation (0.0 looks like price with negatives)

Bug #9: Period price diff percentage wrong sign with negative reference
- Use abs(ref_price) in percentage calculation
- Correct percentage direction for negative prices

Bug #10: Trend diff percentage wrong sign with negative current price
- Use abs(current_interval_price) in percentage calculation
- Correct trend direction when prices cross zero

Bug #11: later_half_diff calculation failed for negative prices
- Changed condition from `if current_interval_price > 0` to `!= 0`
- Use abs(current_interval_price) for percentage

Changes:
- utils/price.py: Add threshold validation, use abs() in percentages
- utils/average.py: Return None instead of 0.0 for empty windows
- period_statistics.py: Use abs() for reference prices
- trend.py: Use abs() for current prices, fix zero-check condition
- tests: 95+ new tests covering negative/zero/mixed price scenarios

Impact: All calculations work correctly with negative electricity prices.
Percentages show correct direction regardless of sign.
2025-11-22 04:45:23 +00:00