Add entity_resolver module that lets all service parameters accept
HA entity references in place of literal values. The entity's current
state (or a specific attribute via the @attr syntax) is resolved at
call time and coerced to the expected Python type.
Syntax:
"sensor.washing_duration" → uses entity state
"sensor.washing_duration@run_minutes" → uses entity attribute
Apply or_entity_ref() and resolve_entity_references() to all five
service handlers (get_price, find_cheapest_block, find_cheapest_hours,
find_cheapest_schedule, get_chartdata) for every parameter where a
dynamic value from another entity is useful (duration, start/end times,
offsets, etc.).
Add five new translation keys for entity-resolution error messages
(invalid_entity_reference, entity_not_found, entity_attribute_not_found,
entity_state_unavailable, entity_value_conversion_failed) across all
five language files.
Fix pytest warning filter to suppress AsyncMock cleanup noise, and
update test_resource_cleanup to mock hass.config_entries.async_entries
so the blueprint-removal path in async_remove_entry does not raise.
Impact: Automations and scripts can pass sensor entity IDs as service
parameters (e.g. duration from a sensor) instead of having to use
template-based workarounds.
_resolve_time_with_day_offset() was calling dt_util.now() internally
instead of using the injected now parameter. This caused incorrect date
calculations in tests and any caller that passes a specific reference time.
Also add missing price_rank_* sensor keys to TIME_SENSITIVE_ENTITY_KEYS
in coordinator/constants.py so quarter-hour refresh is registered for all
11 price rank sensors (current/next/previous interval and hour variants).
Rename dt as dt_utils → dt as dt_util (ICN001) across 11 files to follow
the project-wide import alias convention. Apply ruff auto-fixes for import
ordering and collapsing single-item imports throughout the codebase.
Released-Bug: no
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.
The lifecycle sensor was always showing "fresh" state because
_last_price_update was set on every coordinator update, regardless of
whether data came from API or cache.
Changes:
- interval_pool/manager.py: get_intervals() and get_sensor_data() now
return tuple[data, bool] where bool indicates actual API call
- coordinator/price_data_manager.py: All fetch methods propagate
api_called flag through the call chain
- coordinator/core.py: Only update _last_price_update when api_called=True,
added debug logging to distinguish API calls from cached data
- services/get_price.py: Updated to handle new tuple return type
Impact: Lifecycle sensor now correctly shows "cached" during normal
15-minute updates (using pool cache) and only "fresh" within 5 minutes
of actual API calls. This fixes the issue where the sensor would never
leave the "fresh" state during frequent HA restarts or normal operation.
Renamed service modules for consistency with service identifiers:
- apexcharts.py → get_apexcharts_yaml.py
- chartdata.py → get_chartdata.py
- Added: get_price.py (new service module)
Naming convention: Module names now match service names directly
(tibber_prices.get_apexcharts_yaml → get_apexcharts_yaml.py)
Impact: Improved code organization, easier to locate service implementations.
No functional changes.
