Julian Pawlowski 23b4330b9a fix(coordinator): track API calls separately from cached data usage ... The lifecycle sensor was always showing "fresh" state because _last_price_update was set on every coordinator update, regardless of whether data came from API or cache. Changes: - interval_pool/manager.py: get_intervals() and get_sensor_data() now return tuple[data, bool] where bool indicates actual API call - coordinator/price_data_manager.py: All fetch methods propagate api_called flag through the call chain - coordinator/core.py: Only update _last_price_update when api_called=True, added debug logging to distinguish API calls from cached data - services/get_price.py: Updated to handle new tuple return type Impact: Lifecycle sensor now correctly shows "cached" during normal 15-minute updates (using pool cache) and only "fresh" within 5 minutes of actual API calls. This fixes the issue where the sensor would never leave the "fresh" state during frequent HA restarts or normal operation.		2025-12-25 18:53:29 +00:00
..
__init__.py	feat(services): add debug_clear_tomorrow for testing refresh cycle	2025-12-23 14:13:51 +00:00
debug_clear_tomorrow.py	feat(services): add debug_clear_tomorrow for testing refresh cycle	2025-12-23 14:13:51 +00:00
formatters.py	fix: support main and subunit currency	2025-12-11 23:07:06 +00:00
get_apexcharts_yaml.py	fix(apexcharts): synchronize y-axis tick intervals for consistent grid alignment	2025-12-21 17:39:12 +00:00
get_chartdata.py	fix(chartdata): use proportional padding for yaxis bounds	2025-12-22 23:39:35 +00:00
get_price.py	fix(coordinator): track API calls separately from cached data usage	2025-12-25 18:53:29 +00:00
helpers.py	feat(services): add rolling 48h window support to chart services	2025-12-01 23:46:09 +00:00
refresh_user_data.py	refactor(services): split monolithic services.py into package	2025-11-18 20:07:05 +00:00