hass.tibber_prices/custom_components/tibber_prices/services
Julian Pawlowski c8e9f7ec2a feat(apexcharts): add server-side metadata with dynamic yaxis and gradient
Implemented comprehensive metadata calculation for chart data export service
with automatic Y-axis scaling and gradient positioning based on actual price
statistics.

Changes:
- Added 'metadata' parameter to get_chartdata service (include/only/none)
- Implemented _calculate_metadata() with per-day price statistics
  * min/max/avg/median prices
  * avg_position and median_position (0-1 scale for gradient stops)
  * yaxis_suggested bounds (floor(min)-1, ceil(max)+1)
  * time_range with day boundaries
  * currency info with symbol and unit
- Integrated metadata into rolling_window modes via config-template-card
  * Pre-calculated yaxis bounds (no async issues in templates)
  * Dynamic gradient stops based on avg_position
  * Server-side calculation ensures consistency

Visual refinements:
- Best price overlay opacity reduced to 0.05 (ultra-subtle green hint)
- Stroke width increased to 1.5 for better visibility
- Gradient opacity adjusted to 0.45 with "light" shade
- Marker configuration: size 0, hover size 2, strokeWidth 1
- Header display: Only show LOW/HIGH rating_levels (min/max prices)
  * Conditional logic excludes NORMAL and level types
  * Entity state shows meaningful extrema values
- NOW marker label removed for rolling_window_autozoom mode
  * Static position at 120min lookback makes label misleading

Code cleanup:
- Removed redundant all_series_config (server-side data formatting)
- Currency names capitalized (Cents, Øre, Öre, Pence)

Translation updates:
- Added metadata selector translations (de, en, nb, nl, sv)
- Added metadata field description in services
- Synchronized all language files

Impact: Users get dynamic Y-axis scaling based on actual price data,
eliminating manual configuration. Rolling window charts automatically
adjust axis bounds and gradient positioning. Header shows only
meaningful extreme values (daily min/max). All data transformation
happens server-side for optimal performance and consistency.
2025-12-05 18:14:18 +00:00
..
__init__.py feat(services): add fetch_price_info_range service and update schema 2025-11-25 20:44:39 +00:00
formatters.py fix(services): correct period data format for ApexCharts visualization 2025-12-03 14:20:46 +00:00
get_apexcharts_yaml.py feat(apexcharts): add server-side metadata with dynamic yaxis and gradient 2025-12-05 18:14:18 +00:00
get_chartdata.py feat(apexcharts): add server-side metadata with dynamic yaxis and gradient 2025-12-05 18:14:18 +00:00
get_price.py refactor(services): rename service modules to match service names 2025-11-25 20:44:39 +00:00
helpers.py feat(services): add rolling 48h window support to chart services 2025-12-01 23:46:09 +00:00
refresh_user_data.py refactor(services): split monolithic services.py into package 2025-11-18 20:07:05 +00:00