Added two new rolling window options for get_apexcharts_yaml service to provide
flexible dynamic chart visualization:
- rolling_window: Fixed 48h window that automatically shifts between
yesterday+today and today+tomorrow based on data availability
- rolling_window_autozoom: Same as rolling_window but with progressive zoom-in
(2h lookback + remaining time until midnight, updates every 15min)
Implementation changes:
- Updated service schema validation to accept new day options
- Added entity mapping patterns for both rolling modes
- Implemented minute-based graph_span calculation with quarter-hour alignment
- Added config-template-card integration for dynamic span updates
- Used current_interval_price sensor as 15-minute update trigger
- Unified data loading: both rolling modes omit day parameter for dynamic selection
- Applied ternary operator pattern for cleaner day_param logic
- Made grid lines more subtle (borderColor #f5f5f5, strokeDashArray 0)
Translation updates:
- Added selector options in all 5 languages (de, en, nb, nl, sv)
- Updated field descriptions to include default behavior and new options
- Documented that rolling window is default when day parameter omitted
Documentation updates:
- Updated user docs (actions.md, automation-examples.md) with new options
- Added detailed explanation of day parameter options
- Included examples for both rolling_window and rolling_window_autozoom modes
Impact: Users can now create auto-adapting ApexCharts that show 48h rolling
windows with optional progressive zoom throughout the day. Requires
config-template-card for dynamic behavior.
Add dynamic rolling window mode to get_chartdata and get_apexcharts_yaml
services that automatically adapts to data availability.
When 'day' parameter is omitted, services return 48-hour window:
- With tomorrow data (after ~13:00): today + tomorrow
- Without tomorrow data: yesterday + today
Changes:
- Implement rolling window logic in get_chartdata using has_tomorrow_data()
- Generate config-template-card wrapper in get_apexcharts_yaml for dynamic
ApexCharts span.offset based on tomorrow_data_available binary sensor
- Update service descriptions in services.yaml
- Add rolling window descriptions to all translations (de, en, nb, nl, sv)
- Document rolling window mode in docs/user/services.md
- Add ApexCharts examples with prerequisites in docs/user/automation-examples.md
BREAKING CHANGE: get_apexcharts_yaml rolling window mode requires
config-template-card in addition to apexcharts-card for dynamic offset
calculation.
Impact: Users can create auto-adapting 48h price charts without manual day
selection. Fixed day views (day: today/yesterday/tomorrow) still work with
apexcharts-card only.
Added new service for fetching historical/future price data:
- fetch_price_info_range: Query prices for arbitrary date ranges
- Supports start_time and end_time parameters
- Returns structured price data via service response
- Uses interval pool for efficient data retrieval
Service definition:
- services.yaml: Added fetch_price_info_range with date selectors
- services/__init__.py: Implemented handler with validation
- Response format: {"priceInfo": [...], "currency": "..."}
Schema updates:
- config_flow_handlers/schemas.py: Convert days slider to IntSelector
(was NumberSelector with float, caused "2.0 Tage" display issue)
Impact: Users can fetch price data for custom date ranges programmatically.
Config flow displays clean integer values for day offsets.
Added optional diagnostic binary sensor that exposes get_chartdata
service results as entity attributes for legacy dashboard tools.
Key features:
- Entity: binary_sensor.tibber_home_NAME_chart_data_export
- Configurable via Options Flow Step 7 (YAML parameters)
- Calls get_chartdata service with user configuration
- Exposes response as attributes for chart cards
- Disabled by default (opt-in)
- Auto-refreshes on coordinator updates
- Manual refresh via homeassistant.update_entity
Implementation details:
- Added chart_data_export entity description to definitions.py
- Implemented state/attribute logic in binary_sensor/core.py
- Added YAML configuration schema in schemas.py
- Added validation in options_flow.py (Step 7)
- Service call validation with detailed error messages
- Attribute ordering: metadata first, descriptions next, service data last
- Dynamic icon mapping (database-export/database-alert)
Translations:
- Added chart_data_export_config to all 5 languages
- Added Step 7 descriptions with legacy warning
- Added invalid_yaml_syntax/invalid_yaml_structure error messages
- Added custom_translations for sensor descriptions
Documentation:
- Added Chart Data Export section to sensors.md
- Added comprehensive service guide to services.md
- Migration path from sensor to service
- Configuration instructions via Options Flow
Impact: Provides backward compatibility for dashboard tools that can
only read entity attributes (e.g., older ApexCharts versions). New
integrations should use tibber_prices.get_chartdata service directly.
Complete overhaul of the ApexCharts integration service layer to support
modern chart card workflows with flexible data formatting and filtering.
Replaced services:
- Removed: get_price, get_apexcharts_data (legacy, entity-based)
- Added: get_chartdata (flexible data service)
- Improved: get_apexcharts_yaml (now uses get_chartdata internally)
New get_chartdata service features:
- Multiple output formats (array_of_objects, array_of_arrays)
- Customizable field names for chart compatibility
- Resolution options (15-min intervals, hourly averages)
- Advanced filtering (level_filter, rating_level_filter)
- NULL insertion modes (none, segments, all) for clean gaps
- Minor currency support (cents/øre) with custom rounding
- Optional fields (level, rating_level, average)
- Multi-day support (yesterday/today/tomorrow)
Enhanced get_apexcharts_yaml service:
- Direct entry_id parameter (no entity_id lookup needed)
- Uses get_chartdata with WebSocket API (data_generator)
- Improved ApexCharts configuration:
* Gradient fill (70% opacity → 20%)
* Grid styling with dashed lines
* Zoom & Pan tools (animations disabled for performance)
* Optimized legend (top-left, compact markers)
* Y-axis auto-scaling (min: 0 for visibility, supports negative prices)
* 2 decimal places (improved precision)
* Browser locale formatting (automatic comma/point)
* insert_nulls='segments' for clean gaps between levels
- Multi-language support (translated titles, series names)
- Day selection (yesterday/today/tomorrow with correct span config)
Service translations:
- Added comprehensive field descriptions (all 5 languages: de, en, nb, nl, sv)
- Selector translations for all options (day, resolution, output_format, etc.)
- ApexCharts title translations in custom_translations/
Technical improvements:
- Hourly aggregation uses exact 4-interval windows (:00/:15/:30/:45)
- Level/rating aggregation follows sensor logic (aggregate_level_data, aggregate_rating_data)
- Midnight extension for last interval of filtered data (seamless day transitions)
- Case-insensitive filter matching (normalized to uppercase)
- Ruff complexity fixed (extracted _get_level_translation helper)
Impact: Users can now generate production-ready ApexCharts YAML with a single
service call, or use get_chartdata flexibly with any chart card (ApexCharts,
Plotly, Mini Graph, etc.). Supports complex filtering scenarios (e.g., "show
only LOW rating periods") with clean visual gaps. Full multi-language support.
