hass.tibber_prices/custom_components/tibber_prices/services
Julian Pawlowski 9042ea6efb
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refactor(chartdata): enhance filter requirements for insert_nulls mode
Updated the filter logic to include period_filter alongside level_filter and rating_level_filter for segment definitions. This change ensures that users can utilize period_filter effectively when defining segments.

Impact: Users can now use period_filter in addition to existing filters for more flexible segment definitions.
2026-04-13 09:45:02 +00:00
..
__init__.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
debug_clear_tomorrow.py feat(services): add debug_clear_tomorrow for testing refresh cycle 2025-12-23 14:13:51 +00:00
find_cheapest_block.py feat(services): add reason codes and schedule comparison details to find services 2026-04-12 12:47:11 +00:00
find_cheapest_hours.py feat(services): add reason codes and schedule comparison details to find services 2026-04-12 12:47:11 +00:00
find_cheapest_schedule.py feat(services): add reason codes and schedule comparison details to find services 2026-04-12 12:47:11 +00:00
find_most_expensive_block.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
find_most_expensive_hours.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
formatters.py feat(api): add energy and tax fields to Tibber GraphQL queries 2026-04-09 18:27:21 +00:00
get_apexcharts_yaml.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
get_chartdata.py refactor(chartdata): enhance filter requirements for insert_nulls mode 2026-04-13 09:45:02 +00:00
get_price.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
helpers.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00
refresh_user_data.py feat(services): add 5 scheduling services for price-optimized time windows 2026-04-11 18:58:27 +00:00