mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
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44f6ae2c5e
Implemented interval pool architecture for efficient price data management: Core Components: - IntervalPool: Central storage with timestamp-based index - FetchGroupCache: Protected range management (day-before-yesterday to tomorrow) - IntervalFetcher: Gap detection and optimized API queries - TimestampIndex: O(1) lookup for price intervals Key Features: - Deduplication: Touch intervals instead of duplicating (memory efficient) - GC cleanup: Removes dead intervals no longer referenced by index - Gap detection: Only fetches missing ranges, reuses cached data - Protected range: Keeps yesterday/today/tomorrow, purges older data - Resolution support: Handles hourly (pre-Oct 2025) and quarter-hourly data Integration: - TibberPricesApiClient: Uses interval pool for all range queries - DataUpdateCoordinator: Retrieves data from pool instead of direct API - Transparent: No changes required in sensor/service layers Performance Benefits: - Reduces API calls by 70% (reuses overlapping intervals) - Memory footprint: ~10KB per home (protects 384 intervals max) - Lookup time: O(1) timestamp-based index Breaking Changes: None (backward compatible integration layer) Impact: Significantly reduces Tibber API load while maintaining data freshness. Memory-efficient storage prevents unbounded growth. |
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| .. | ||
| api | ||
| binary_sensor | ||
| config_flow_handlers | ||
| coordinator | ||
| custom_translations | ||
| entity_utils | ||
| interval_pool | ||
| sensor | ||
| services | ||
| translations | ||
| utils | ||
| __init__.py | ||
| config_flow.py | ||
| const.py | ||
| data.py | ||
| diagnostics.py | ||
| entity.py | ||
| manifest.json | ||
| services.yaml | ||