Julian Pawlowski 9a6eb44382 refactor(config): use negative values for Best Price min_distance ... Best Price min_distance now uses negative values (-50 to 0) to match semantic meaning "below average". Peak Price continues using positive values (0 to 50) for "above average". Uniform formula: avg * (1 + distance/100) works for both period types. Sign indicates direction: negative = toward MIN (cheap), positive = toward MAX (expensive). Changes: - const.py: DEFAULT_BEST_PRICE_MIN_DISTANCE_FROM_AVG = -5 (was 5) - schemas.py: Best Price range -50 to 0, Peak Price range 0 to 50 - validators.py: Separate validate_best_price_distance_percentage() - level_filtering.py: Simplified to uniform formula (removed conditionals) - translations: Separate error messages for Best/Peak distance validation - tests: 37 comprehensive validator tests (100% coverage) Impact: Configuration UI now visually represents direction relative to average. Users see intuitive negative values for "below average" pricing.		2025-11-22 04:44:57 +00:00
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__init__.py	test: add pytest framework and midnight-crossing tests	2025-11-21 23:47:01 +00:00
test_cache_age.py	fix(coordinator): use coordinator update timestamp for cache validity	2025-11-22 04:44:22 +00:00
test_cache_validity.py	fix(coordinator): use coordinator update timestamp for cache validity	2025-11-22 04:44:22 +00:00
test_cache_validity_after_midnight.py	fix(coordinator): use coordinator update timestamp for cache validity	2025-11-22 04:44:22 +00:00
test_chart_data_push_updates.py	feat(sensors): add lifecycle callback for chart_data_export sensor	2025-11-22 04:44:38 +00:00
test_config_validators.py	refactor(config): use negative values for Best Price min_distance	2025-11-22 04:44:57 +00:00
test_midnight_periods.py	test: add pytest framework and midnight-crossing tests	2025-11-21 23:47:01 +00:00
test_midnight_turnover.py	refactor(config): use negative values for Best Price min_distance	2025-11-22 04:44:57 +00:00