Commit graph

2 commits

Author SHA1 Message Date
Julian Pawlowski
6e0613c055 feat(services): add 5 scheduling services for price-optimized time windows
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.
2026-04-11 18:58:27 +00:00
Julian Pawlowski
ac24f6a8cb refactor(services): split monolithic services.py into package
Split services.py (1,097 lines) into modular package (6 files, ~200-600 lines each):

Structure:
- services/__init__.py: Service registration (70 lines)
- services/helpers.py: Entry validation (55 lines)
- services/formatters.py: Data transformation (380 lines)
- services/chartdata.py: Chart data export handler (600 lines)
- services/apexcharts.py: ApexCharts YAML generator (240 lines)
- services/refresh_user_data.py: User data refresh (110 lines)

Benefits:
- Clear separation of concerns (helpers, formatters, handlers)
- Each service isolated and independently testable
- Consistent handler naming (handle_* pattern)
- Better code reuse through formatters module

All services working identically (get_chartdata, get_apexcharts_yaml,
refresh_user_data). Updated __init__.py to import from services package.

Impact: Improved maintainability, reduced max file size from 1,097
to 600 lines. Architecture quality improved from 7.5/10 to ~8.5/10.
2025-11-18 20:07:05 +00:00