Julian Pawlowski f2627a5292 fix(period_handlers): normalize flex and min_distance to absolute values ... Fixed critical sign convention bug where negative user-facing values (e.g., peak_price_flex=-20%) weren't normalized for internal calculations, causing incorrect period filtering. Changes: - periods.py: Added abs() normalization for flex and min_distance_from_avg - core.py: Added comment documenting flex normalization by get_period_config() - level_filtering.py: Simplified check_interval_criteria() to work with normalized positive values only, removed complex negative price handling - relaxation.py: Removed sign handling since values are pre-normalized Internal convention: - User-facing: Best price uses positive (+15%), Peak price uses negative (-20%) - Internal: Always positive (0.15 or 0.20) with reverse_sort flag for direction Added comprehensive regression tests: - test_best_price_e2e.py: Validates Best price periods generate correctly - test_peak_price_e2e.py: Validates Peak price periods generate correctly - test_level_filtering.py: Unit tests for flex/distance filter logic Impact: Peak price periods now generate correctly. Bug caused 100% FLEX filtering (192/192 intervals blocked) → 0 periods found. Fix ensures reasonable filtering (~40-50%) with periods successfully generated.		2025-11-22 13:01:01 +00:00
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tibber_prices	fix(period_handlers): normalize flex and min_distance to absolute values	2025-11-22 13:01:01 +00:00