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.
chart_data_export now registers lifecycle callback for immediate
updates when coordinator data changes ("fresh" lifecycle state).
Previously only updated via polling intervals.
Changes:
- Register callback in sensor constructor (when entity_key matches)
- Callback triggers async_write_ha_state() on "fresh" lifecycle
- 5 new tests covering callback registration and triggering
Impact: Chart data export updates immediately on API data arrival,
enabling real-time dashboard updates without polling delay.
Cache validity now checks _last_coordinator_update (within 30min)
instead of _api_calls_today counter. Fixes false "stale" status
when coordinator runs every 15min but cache validation was only
checking API call counter.
Bug #1: Cache validity shows "stale" at 05:57 AM
Bug #2: Cache age calculation incorrect after midnight turnover
Bug #3: get_cache_validity inconsistent with cache_age sensor
Changes:
- Coordinator: Use _last_coordinator_update for cache validation
- Lifecycle: Extract cache validation to dedicated helper function
- Tests: 7 new tests covering midnight scenarios and edge cases
Impact: Cache validity sensor now accurately reflects coordinator
activity, not just explicit API calls. Correctly handles midnight
turnover without false "stale" status.
Set up pytest with Home Assistant support and created 6 tests for
midnight-crossing period logic (5 unit tests + 1 integration test).
Added pytest configuration, test dependencies, test runner script
(./scripts/test), and comprehensive tests for group_periods_by_day()
and midnight turnover consistency.
All tests pass in 0.12s.
Impact: Provides regression testing for midnight-crossing period bugs.
Tests validate periods remain visible across midnight turnover.
- Added new configuration options for minimum distance from average price for best and peak prices.
- Updated default values for best and peak price flexibility.
- Improved coordinator to handle midnight turnover and data rotation more effectively.
- Refactored entity initialization to streamline device information retrieval.
- Updated sensor attributes to use more descriptive names for price values.
- Enhanced translations for new configuration options in English and German.
- Improved unit tests for coordinator functionality, ensuring proper cleanup and async handling.
