hass.tibber_prices

jpawlowski/hass.tibber_prices

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Author	SHA1	Message	Date
Julian Pawlowski	9b34d416bc	feat(services): add debug_clear_tomorrow for testing refresh cycle Add debug service to clear tomorrow data from interval pool, enabling testing of tomorrow data refresh cycle without waiting for next day. Service available only in DevContainer (TIBBER_PRICES_DEV=1 env var). Removes intervals from both Pool index and coordinator.data["priceInfo"] so sensors properly show "unknown" state. Changes: - Add debug_clear_tomorrow.py service handler - Register conditionally based on TIBBER_PRICES_DEV env var - Add service schema and translations - Set TIBBER_PRICES_DEV=1 in devcontainer.json Usage: Developer Tools → Services → tibber_prices.debug_clear_tomorrow Impact: Enables rapid testing of tomorrow data refresh cycle during development without waiting or restarting HA.	2025-12-23 14:13:51 +00:00
Julian Pawlowski	b6f5f1678f	feat(services): add fetch_price_info_range service and update schema 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.	2025-11-25 20:44:39 +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

Author

SHA1

Message

Date

Julian Pawlowski

9b34d416bc

feat(services): add debug_clear_tomorrow for testing refresh cycle

Add debug service to clear tomorrow data from interval pool, enabling
testing of tomorrow data refresh cycle without waiting for next day.

Service available only in DevContainer (TIBBER_PRICES_DEV=1 env var).
Removes intervals from both Pool index and coordinator.data["priceInfo"]
so sensors properly show "unknown" state.

Changes:
- Add debug_clear_tomorrow.py service handler
- Register conditionally based on TIBBER_PRICES_DEV env var
- Add service schema and translations
- Set TIBBER_PRICES_DEV=1 in devcontainer.json

Usage: Developer Tools → Services → tibber_prices.debug_clear_tomorrow

Impact: Enables rapid testing of tomorrow data refresh cycle during
development without waiting or restarting HA.

2025-12-23 14:13:51 +00:00

Julian Pawlowski

b6f5f1678f

feat(services): add fetch_price_info_range service and update schema

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.

2025-11-25 20:44:39 +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

3 commits