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.
48 lines
2 KiB
Python
48 lines
2 KiB
Python
"""GraphQL queries and query types for Tibber API."""
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from __future__ import annotations
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from enum import Enum
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class TibberPricesQueryType(Enum):
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"""
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Types of queries that can be made to the API.
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CRITICAL: Query type selection is dictated by Tibber's API design and caching strategy.
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PRICE_INFO:
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- Used for current day-relative data (day before yesterday/yesterday/today/tomorrow)
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- API automatically determines "today" and "tomorrow" based on current time
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- MUST be used when querying any data from these 4 days, even if you only need
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specific intervals, because Tibber's API requires this endpoint for current data
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- Provides the core dataset needed for live data, recent historical context
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(important until tomorrow's data arrives), and tomorrow's forecast
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- Tibber likely has optimized caching for this frequently-accessed data range
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- Boundary: FROM "day before yesterday midnight" (real time) onwards
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PRICE_INFO_RANGE:
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- Used for historical data older than day before yesterday
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- Allows flexible date range queries with cursor-based pagination
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- Required for any intervals beyond the 4-day window of PRICE_INFO
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- Use this for historical analysis, comparisons, or trend calculations
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- Boundary: BEFORE "day before yesterday midnight" (real time)
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ROUTING:
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- Use async_get_price_info_for_range() wrapper for automatic routing
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- Wrapper intelligently splits requests spanning the boundary:
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* Fully historical range (end < boundary) → PRICE_INFO_RANGE only
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* Fully recent range (start >= boundary) → PRICE_INFO only
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* Spanning range → Both queries, merged results
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- Boundary calculated using REAL TIME (dt_utils.now()), not TimeService
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to ensure predictable API responses
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USER:
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- Fetches user account data and home metadata
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- Separate from price data queries
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"""
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PRICE_INFO = "price_info"
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PRICE_INFO_RANGE = "price_info_range"
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USER = "user"
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