Julian Pawlowski 5fc1f4db33 feat(sensors): add 5-level price trend scale with configurable thresholds ... Extends trend sensors from 3-level (rising/stable/falling) to 5-level scale (strongly_rising/rising/stable/falling/strongly_falling) for finer granularity. Changes: - Add PRICE_TREND_MAPPING with integer values (-2, -1, 0, +1, +2) matching PRICE_LEVEL_MAPPING pattern for consistent automation comparisons - Add configurable thresholds for strongly_rising (default: 6%) and strongly_falling (default: -6%) independent from base thresholds - Update calculate_price_trend() to return 3-tuple: (trend_state, diff_pct, trend_value) - Add trend_value attribute to all trend sensors for numeric comparisons - Update sensor entity descriptions with 5-level options - Add validation with cross-checks (strongly_rising > rising, etc.) - Update icons: chevron-double-up/down for strong trends, trending-up/down for normal Files changed: - const.py: PRICE_TREND_* constants, PRICE_TREND_MAPPING, config constants - utils/price.py: Extended calculate_price_trend() signature and return value - sensor/calculators/trend.py: Pass new thresholds, handle 3-tuple return - sensor/definitions.py: 5-level options for all 9 trend sensors - sensor/core.py: 5-level icon mapping - entity_utils/icons.py: 5-level trend icons - config_flow_handlers/: validators, schemas, options_flow for new settings - translations/*.json: Labels and error messages (en, de, nb, sv, nl) - tests/test_percentage_calculations.py: Updated for 3-tuple return Impact: Users get more nuanced trend information for automation decisions. New trend_value attribute enables numeric comparisons (e.g., > 0 for any rise). Existing automations using "rising"/"falling"/"stable" continue to work.		2026-01-20 13:36:01 +00:00
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api	fix(api): handle None values in API responses to prevent AttributeError	2025-12-13 14:02:30 +00:00
binary_sensor	fix(volatility): expose price coefficient variation attribute	2025-12-25 19:10:42 +00:00
config_flow_handlers	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
coordinator	fix(validation): enhance user data validation to require active subscription and price info.	2026-01-20 12:33:45 +00:00
custom_translations	feat(sensor): convert timing sensors to hour-based display with minute attributes	2025-12-26 16:03:00 +00:00
entity_utils	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
interval_pool	fix(coordinator): track API calls separately from cached data usage	2025-12-25 18:53:29 +00:00
sensor	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
services	feat(services): add peak price overlay toggle to ApexCharts YAML	2025-12-26 00:07:28 +00:00
translations	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
utils	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
__init__.py	refactor(interval_pool): improve reliability and test coverage	2025-12-23 10:10:35 +00:00
config_flow.py	feat(config_flow): add price level gap tolerance for Tibber API level field	2025-12-22 20:25:30 +00:00
const.py	feat(sensors): add 5-level price trend scale with configurable thresholds	2026-01-20 13:36:01 +00:00
data.py	feat(interval-pool): add intelligent interval caching and memory optimization	2025-11-25 20:44:39 +00:00
diagnostics.py	refactor(lifecycle): integrate with Pool for sensor metrics	2025-12-23 14:13:34 +00:00
entity.py	fix(api): handle None values in API responses to prevent AttributeError	2025-12-13 14:02:30 +00:00
icons.json	feat(services): add new services and icons for enhanced functionality and user experience	2025-12-02 18:46:15 +00:00
manifest.json	chore(release): bump version to 0.26.0	2026-01-20 12:40:37 +00:00
services.yaml	feat(services): add peak price overlay toggle to ApexCharts YAML	2025-12-26 00:07:28 +00:00