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
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__init__.py	feat(interval-pool): add intelligent interval caching and memory optimization	2025-11-25 20:44:39 +00:00
cache.py	fix(interval_pool): prevent external mutation of cached intervals	2025-12-23 14:13:24 +00:00
fetcher.py	fix(interval_pool): prevent external mutation of cached intervals	2025-12-23 14:13:24 +00:00
garbage_collector.py	fix(interval_pool): prevent external mutation of cached intervals	2025-12-23 14:13:24 +00:00
index.py	refactor(interval_pool): improve reliability and test coverage	2025-12-23 10:10:35 +00:00
manager.py	fix(coordinator): track API calls separately from cached data usage	2025-12-25 18:53:29 +00:00
routing.py	feat(interval-pool): add intelligent interval caching and memory optimization	2025-11-25 20:44:39 +00:00
storage.py	feat(interval-pool): add intelligent interval caching and memory optimization	2025-11-25 20:44:39 +00:00