hass.tibber_prices/custom_components/tibber_prices/services
Julian Pawlowski 1b207f0db1 fix(services): correct min_distance_from_avg direction for negative prices
check_min_distance_from_avg() computed the distance threshold as
range_avg * (1 ± ratio). Tibber prices can go negative during grid
oversupply, and multiplying a negative range_avg directly flips the
intended direction: e.g. avg * 1.05 makes a negative average MORE
negative (i.e. cheaper), which is the wrong direction for a
"most expensive" threshold check, and analogously wrong for
"cheapest" checks.

Compute the threshold as range_avg ± abs(range_avg) * ratio instead,
matching the sign-safe normalization pattern already used for
min_distance_from_avg in the period system
(coordinator/period_handlers/level_filtering.py). Behavior for
positive averages (the common case) is unchanged.

Used by find_cheapest_block, find_cheapest_hours, and plan_charging.

Impact: min_distance_from_avg now correctly filters cheapest/most
expensive windows during negative-price periods instead of silently
accepting windows in the wrong direction relative to the search range
average.
2026-07-04 18:23:06 +00:00
..
charging fix(services): prevent plan_charging overcharge from segment-constraint bridging 2026-07-04 17:43:04 +00:00
__init__.py feat(services): add plan_charging service for battery/EV scheduling 2026-04-20 21:43:41 +00:00
debug_clear_tomorrow.py fix(services): use injected now in resolve_search_range day offset 2026-04-14 19:33:24 +00:00
entity_resolver.py feat(services): allow entity IDs as service parameter values 2026-04-20 18:44:24 +00:00
find_cheapest_block.py fix(services): prevent power_profile truncation during relaxation 2026-07-04 18:22:44 +00:00
find_cheapest_hours.py fix(services): prevent power_profile truncation during relaxation 2026-07-04 18:22:44 +00:00
find_cheapest_schedule.py fix(services): prevent power_profile truncation during relaxation 2026-07-04 18:22:44 +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 fix(services): use injected now in resolve_search_range day offset 2026-04-14 19:33:24 +00:00
get_apexcharts_yaml.py feat(services): add price_source parameter to get_chartdata and get_apexcharts_yaml 2026-05-03 18:48:36 +00:00
get_chartdata.py feat(services): add price_source parameter to get_chartdata and get_apexcharts_yaml 2026-05-03 18:48:36 +00:00
get_price.py feat(services): isolate price-fetch failures and add success flag to responses 2026-05-30 14:46:23 +00:00
helpers.py fix(services): correct min_distance_from_avg direction for negative prices 2026-07-04 18:23:06 +00:00
plan_charging.py fix(services): prevent plan_charging overcharge from segment-constraint bridging 2026-07-04 17:43:04 +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
relaxation.py feat(pricing): add relaxation logic for progressive filter loosening 2026-04-18 21:27:05 +00:00