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Complete terminology migration from confusing "major/minor" to clearer
"base/subunit" currency naming throughout entire codebase, translations,
documentation, tests, and services.
BREAKING CHANGES:
1. **Service API Parameters Renamed**:
- `get_chartdata`: `minor_currency` → `subunit_currency`
- `get_apexcharts_yaml`: Updated service_data references from
`minor_currency: true` to `subunit_currency: true`
- All automations/scripts using these parameters MUST be updated
2. **Configuration Option Key Changed**:
- Config entry option: Display mode setting now uses new terminology
- Internal key: `currency_display_mode` values remain "base"/"subunit"
- User-facing labels updated in all 5 languages (de, en, nb, nl, sv)
3. **Sensor Entity Key Renamed**:
- `current_interval_price_major` → `current_interval_price_base`
- Entity ID changes: `sensor.tibber_home_current_interval_price_major`
→ `sensor.tibber_home_current_interval_price_base`
- Energy Dashboard configurations MUST update entity references
4. **Function Signatures Changed**:
- `format_price_unit_major()` → `format_price_unit_base()`
- `format_price_unit_minor()` → `format_price_unit_subunit()`
- `get_price_value()`: Parameter `in_euro` deprecated in favor of
`config_entry` (backward compatible for now)
5. **Translation Keys Renamed**:
- All language files: Sensor translation key
`current_interval_price_major` → `current_interval_price_base`
- Service parameter descriptions updated in all languages
- Selector options updated: Display mode dropdown values
Changes by Category:
**Core Code (Python)**:
- const.py: Renamed all format_price_unit_*() functions, updated docstrings
- entity_utils/helpers.py: Updated get_price_value() with config-driven
conversion and backward-compatible in_euro parameter
- sensor/__init__.py: Added display mode filtering for base currency sensor
- sensor/core.py:
* Implemented suggested_display_precision property for dynamic decimal places
* Updated native_unit_of_measurement to use get_display_unit_string()
* Updated all price conversion calls to use config_entry parameter
- sensor/definitions.py: Renamed entity key and updated all
suggested_display_precision values (2 decimals for most sensors)
- sensor/calculators/*.py: Updated all price conversion calls (8 calculators)
- sensor/helpers.py: Updated aggregate_price_data() signature with config_entry
- sensor/attributes/future.py: Updated future price attributes conversion
**Services**:
- services/chartdata.py: Renamed parameter minor_currency → subunit_currency
throughout (53 occurrences), updated metadata calculation
- services/apexcharts.py: Updated service_data references in generated YAML
- services/formatters.py: Renamed parameter use_minor_currency →
use_subunit_currency in aggregate_hourly_exact() and get_period_data()
- sensor/chart_metadata.py: Updated default parameter name
**Translations (5 Languages)**:
- All /translations/*.json:
* Added new config step "display_settings" with comprehensive explanations
* Renamed current_interval_price_major → current_interval_price_base
* Updated service parameter descriptions (subunit_currency)
* Added selector.currency_display_mode.options with translated labels
- All /custom_translations/*.json:
* Renamed sensor description keys
* Updated chart_metadata usage_tips references
**Documentation**:
- docs/user/docs/actions.md: Updated parameter table and feature list
- docs/user/versioned_docs/version-v0.21.0/actions.md: Backported changes
**Tests**:
- Updated 7 test files with renamed parameters and conversion logic:
* test_connect_segments.py: Renamed minor/major to subunit/base
* test_period_data_format.py: Updated period price conversion tests
* test_avg_none_fallback.py: Fixed tuple unpacking for new return format
* test_best_price_e2e.py: Added config_entry parameter to all calls
* test_cache_validity.py: Fixed cache data structure (price_info key)
* test_coordinator_shutdown.py: Added repair_manager mock
* test_midnight_turnover.py: Added config_entry parameter
* test_peak_price_e2e.py: Added config_entry parameter, fixed price_avg → price_mean
* test_percentage_calculations.py: Added config_entry mock
**Coordinator/Period Calculation**:
- coordinator/periods.py: Added config_entry parameter to
calculate_periods_with_relaxation() calls (2 locations)
Migration Guide:
1. **Update Service Calls in Automations/Scripts**:
\`\`\`yaml
# Before:
service: tibber_prices.get_chartdata
data:
minor_currency: true
# After:
service: tibber_prices.get_chartdata
data:
subunit_currency: true
\`\`\`
2. **Update Energy Dashboard Configuration**:
- Settings → Dashboards → Energy
- Replace sensor entity:
`sensor.tibber_home_current_interval_price_major` →
`sensor.tibber_home_current_interval_price_base`
3. **Review Integration Configuration**:
- Settings → Devices & Services → Tibber Prices → Configure
- New "Currency Display Settings" step added
- Default mode depends on currency (EUR → subunit, Scandinavian → base)
Rationale:
The "major/minor" terminology was confusing and didn't clearly communicate:
- **Major** → Unclear if this means "primary" or "large value"
- **Minor** → Easily confused with "less important" rather than "smaller unit"
New terminology is precise and self-explanatory:
- **Base currency** → Standard ISO currency (€, kr, $, £)
- **Subunit currency** → Fractional unit (ct, øre, ¢, p)
This aligns with:
- International terminology (ISO 4217 standard)
- Banking/financial industry conventions
- User expectations from payment processing systems
Impact: Aligns currency terminology with international standards. Users must
update service calls, automations, and Energy Dashboard configuration after
upgrade.
Refs: User feedback session (December 2025) identified terminology confusion
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Glossary
Quick reference for terms used throughout the documentation.
A
- API Token
- Your personal access key from Tibber. Get it at developer.tibber.com.
- Attributes
- Additional data attached to each sensor (timestamps, statistics, metadata). Access via
state_attr()in templates.
B
- Best Price Period
- Automatically detected time window with favorable electricity prices. Ideal for scheduling dishwashers, heat pumps, EV charging.
- Binary Sensor
- Sensor with ON/OFF state (e.g., "Best Price Period Active"). Used in automations as triggers.
C
- Currency Display Mode
- Configurable setting for how prices are shown. Choose base currency (€, kr) or subunit (ct, øre). Smart defaults apply: EUR → subunit, NOK/SEK/DKK → base.
- Coordinator
- Home Assistant component managing data fetching and updates. Polls Tibber API every 15 minutes.
D
- Dynamic Icons
- Icons that change based on sensor state (e.g., battery icons showing price level). See Dynamic Icons.
F
- Flex (Flexibility)
- Configuration parameter controlling how strict period detection is. Higher flex = more periods found, but potentially at higher prices.
I
- Interval
- 15-minute time slot with fixed electricity price (00:00-00:15, 00:15-00:30, etc.).
L
- Level
- Price classification within a day (LOWEST, LOW, NORMAL, HIGH, HIGHEST). Based on daily min/max prices.
M
- Min Distance
- Threshold requiring periods to be at least X% below daily average. Prevents detecting "cheap" periods during expensive days.
P
- Peak Price Period
- Time window with highest electricity prices. Use to avoid heavy consumption.
- Price Info
- Complete dataset with all intervals (yesterday, today, tomorrow) including enriched statistics.
Q
- Quarter-Hourly
- 15-minute precision (4 intervals per hour, 96 per day).
R
- Rating
- Statistical price classification (VERY_CHEAP, CHEAP, NORMAL, EXPENSIVE, VERY_EXPENSIVE). Based on 24h averages and thresholds.
- Relaxation
- Automatic loosening of period detection filters when target period count isn't met. Ensures you always get usable periods.
S
- State
- Current value of a sensor (e.g., price in ct/kWh, "ON"/"OFF" for binary sensors).
- State Class
- Home Assistant classification for long-term statistics (MEASUREMENT, TOTAL, or none).
T
- Trailing Average
- Average price over the past 24 hours from current interval.
- Leading Average
- Average price over the next 24 hours from current interval.
V
- Volatility
- Measure of price stability (LOW, MEDIUM, HIGH). High volatility = large price swings = good for timing optimization.
💡 See Also:
- Core Concepts - In-depth explanations
- Sensors - How sensors use these concepts
- Period Calculation - Deep dive into period detection