Julian Pawlowski 78df8a4b17 refactor(lifecycle): integrate with Pool for sensor metrics ... Replace cache-based metrics with Pool as single source of truth: - get_cache_age_minutes() → get_sensor_fetch_age_minutes() (from Pool) - Remove get_cache_validity_status(), get_data_completeness_status() - Add get_pool_stats() for comprehensive pool statistics - Add has_tomorrow_data() using Pool as source Attributes now show: - sensor_intervals_count/expected/has_gaps (protected range) - cache_intervals_total/limit/fill_percent/extra (entire pool) - last_sensor_fetch, cache_oldest/newest_interval timestamps - tomorrow_available based on Pool state Impact: More accurate lifecycle status, consistent with Pool as source of truth, cleaner diagnostic information.		2025-12-23 14:13:34 +00:00
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__init__.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00
daily_stat.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00
future.py	refactor(currency)!: rename major/minor to base/subunit currency terminology	2025-12-11 08:26:30 +00:00
helpers.py	feat(sensors): always show both mean and median in average sensor attributes	2025-12-18 15:12:30 +00:00
interval.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00
lifecycle.py	refactor(lifecycle): integrate with Pool for sensor metrics	2025-12-23 14:13:34 +00:00
metadata.py	refactor(price_info): price data handling to use unified interval retrieval	2025-11-24 10:49:34 +00:00
timing.py	refactor(naming): complete class naming convention alignment	2025-11-20 11:22:53 +00:00
trend.py	refactor(naming): complete class naming convention alignment	2025-11-20 11:22:53 +00:00
volatility.py	fix(periods): Periods are now correctly recalculated after tomorrow prices became available.	2025-12-09 16:57:57 +00:00
window_24h.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00