mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-30 05:13:40 +00:00
ac24f6a8cb
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.
113 lines
3 KiB
Python
113 lines
3 KiB
Python
"""
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User data refresh service handler.
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This module implements the `refresh_user_data` service, which forces a refresh
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of user profile and home information from the Tibber API.
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Features:
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- Force refresh of cached user data
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- Bypass 24h cache TTL
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- Return updated user profile and homes
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- Error handling for API failures
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Service: tibber_prices.refresh_user_data
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Response: JSON with refresh status and updated data
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any, Final
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import voluptuous as vol
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from custom_components.tibber_prices.api import (
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TibberPricesApiClientAuthenticationError,
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TibberPricesApiClientCommunicationError,
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TibberPricesApiClientError,
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)
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from homeassistant.exceptions import ServiceValidationError
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from .helpers import get_entry_and_data
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if TYPE_CHECKING:
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from homeassistant.core import ServiceCall
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# Service constants
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REFRESH_USER_DATA_SERVICE_NAME: Final = "refresh_user_data"
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ATTR_ENTRY_ID: Final = "entry_id"
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# Service schema
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REFRESH_USER_DATA_SERVICE_SCHEMA: Final = vol.Schema(
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{
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vol.Required(ATTR_ENTRY_ID): str,
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}
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)
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async def handle_refresh_user_data(call: ServiceCall) -> dict[str, Any]:
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"""
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Refresh user data for a specific config entry.
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Forces a refresh of user profile and home information from Tibber API,
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bypassing the 24-hour cache TTL. Returns updated information or error details.
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See services.yaml for detailed parameter documentation.
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Args:
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call: Service call with parameters
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Returns:
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Dictionary with refresh status and updated data
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Raises:
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ServiceValidationError: If entry_id is missing or invalid
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"""
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entry_id = call.data.get(ATTR_ENTRY_ID)
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hass = call.hass
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if not entry_id:
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return {
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"success": False,
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"message": "Entry ID is required",
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}
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# Get the entry and coordinator
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try:
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_, coordinator, _ = get_entry_and_data(hass, entry_id)
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except ServiceValidationError as ex:
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return {
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"success": False,
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"message": f"Invalid entry ID: {ex}",
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}
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# Force refresh user data using the public method
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try:
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updated = await coordinator.refresh_user_data()
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except (
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TibberPricesApiClientAuthenticationError,
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TibberPricesApiClientCommunicationError,
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TibberPricesApiClientError,
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) as ex:
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return {
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"success": False,
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"message": f"API error refreshing user data: {ex!s}",
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}
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else:
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if updated:
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user_profile = coordinator.get_user_profile()
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homes = coordinator.get_user_homes()
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return {
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"success": True,
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"message": "User data refreshed successfully",
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"user_profile": user_profile,
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"homes_count": len(homes),
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"homes": homes,
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"last_updated": user_profile.get("last_updated"),
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}
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return {
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"success": False,
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"message": "User data was already up to date",
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}
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