Removed unnecessary sections from the get_apexcharts_yaml service and added new fields for search tuning and cost estimation in chartdata services. This improves the clarity and usability of the service definitions.
Impact: Users will benefit from a more concise and organized service structure, enhancing the overall experience.
New services for finding optimal electricity price windows:
- find_cheapest_block: Cheapest contiguous time block (e.g., dishwasher)
- find_cheapest_hours: Cheapest N hours, non-contiguous (e.g., EV charging)
- find_cheapest_schedule: Multi-task scheduling with no-overlap (e.g., shared circuit)
- find_most_expensive_block: Most expensive contiguous block (peak avoidance)
- find_most_expensive_hours: Most expensive N hours (consumption shifting)
Key features:
- Flexible search range (today, tomorrow, today+tomorrow, rolling window)
- Power profile support for variable consumption patterns
- Price level filtering (e.g., only CHEAP/VERY_CHEAP intervals)
- Comparison details showing savings vs. alternatives
- Sliding window algorithm (O(n)) for block search, greedy scheduling
for multi-task optimization
Also includes:
- Shared validation utilities (search range, price level, power profile)
- entry_id now optional on all services (auto-selects single home)
- Input validation for existing services (time range, filter conflicts)
- Service icons for all new and existing services
- Translations for all 5 languages (en, de, nb, nl, sv)
- Removed 10 unused config.error translation keys (replaced by exceptions)
- Tests for price window algorithms and search range resolution
Impact: Users can find optimal time windows for appliances, EV charging,
and multi-device scheduling via HA service calls. Existing services
improved with optional entry_id and better input validation.
Add resolution parameter to get_chartdata and get_apexcharts_yaml services,
allowing users to choose between original 15-minute intervals or aggregated
hourly values for chart visualization.
Implementation uses rolling 5-interval window aggregation (-2, -1, 0, +1, +2
around :00 of each hour = 60 minutes total), matching the sensor rolling
hour methodology. Respects user's CONF_AVERAGE_SENSOR_DISPLAY setting for
mean vs median calculation.
Changes:
- formatters.py: Add aggregate_to_hourly() function preserving original
field names (startsAt, total, level, rating_level) for unified processing
- get_chartdata.py: Pre-aggregate data before processing when resolution is
'hourly', enabling same code path for filters/insert_nulls/connect_segments
- get_apexcharts_yaml.py: Add resolution parameter, pass to all 4 get_chartdata
service calls in generated JavaScript
- services.yaml: Add resolution field with interval/hourly selector
- icons.json: Add section icons for get_apexcharts_yaml fields
- translations: Add highlight_peak_price and resolution field translations
for all 5 languages (en, de, sv, nb, nl)
Impact: Users can now generate cleaner charts with 24 hourly data points
instead of 96 quarter-hourly intervals. The unified processing approach
ensures all chart features (filters, null insertion, segment connection)
work identically for both resolutions.
