fix(coordinator): add _is_fetching flag and fix tomorrow data detection

Implement _is_fetching flag to show "refreshing" status during API calls,
and fix needs_tomorrow_data() to recognize single-home cache format.

Changes:
- Set _is_fetching flag before API call, reset after completion (core.py)
- Fix needs_tomorrow_data() to check for "price_info" key instead of "homes"
- Remove redundant "homes" check in should_update_price_data()
- Improve logging: change debug to info for tomorrow data checks

Lifecycle status now correctly transitions after 13:00 when tomorrow data
is missing: cached → searching_tomorrow → refreshing → fresh → cached

Impact: Users will see accurate lifecycle status and tomorrow's electricity
prices will automatically load when available after 13:00, fixing issue
since v0.14.0 where prices weren't fetched without manual HA restart.

custom_components/tibber_prices/coordinator/core.py

@@ -587,12 +587,28 @@ class TibberPricesDataUpdateCoordinator(DataUpdateCoordinator[dict[str, Any]]):
             # Track last_price_update timestamp before fetch to detect if data actually changed
             old_price_update = self._last_price_update
 
+            # CRITICAL: Check if we need to fetch data BEFORE starting the fetch
+            # This allows the lifecycle sensor to show "searching_tomorrow" status
+            # when we're actively looking for tomorrow's data after 13:00
+            should_update = self._data_fetcher.should_update_price_data(current_time)
+
+            # Set _is_fetching flag if we're about to fetch data
+            # This makes the lifecycle sensor show "refreshing" status during the API call
+            if should_update:
+                self._is_fetching = True
+                # Immediately notify lifecycle sensor about state change
+                # This ensures "refreshing" or "searching_tomorrow" appears DURING the fetch
+                self.async_update_listeners()
+
             result = await self._data_fetcher.handle_main_entry_update(
                 current_time,
                 self._home_id,
                 self._transform_data,
             )
 
+            # CRITICAL: Reset fetching flag AFTER data fetch completes
+            self._is_fetching = False
+
             # CRITICAL: Sync cached data after API call
             # handle_main_entry_update() updates data_fetcher's cache, we need to sync:
             # 1. cached_user_data (for new integrations, may be fetched via update_user_data_if_needed())

custom_components/tibber_prices/coordinator/data_fetching.py

@@ -149,14 +149,9 @@ class TibberPricesDataFetcher:
 
         # Check if after 13:00 and tomorrow data is missing or invalid
         now_local = self.time.as_local(current_time)
-        if (
-            now_local.hour >= TOMORROW_DATA_CHECK_HOUR
-            and self._cached_price_data
-            and "homes" in self._cached_price_data
-            and self.needs_tomorrow_data()
-        ):
+        if now_local.hour >= TOMORROW_DATA_CHECK_HOUR and self._cached_price_data and self.needs_tomorrow_data():
             self._log(
-                "debug",
+                "info",
                 "API update needed: After %s:00 and tomorrow's data missing/invalid",
                 TOMORROW_DATA_CHECK_HOUR,
             )
@@ -165,6 +160,7 @@ class TibberPricesDataFetcher:
             return "tomorrow_check"
 
         # No update needed - cache is valid and complete
+        self._log("debug", "No API update needed: Cache is valid and complete")
         return False
 
     def needs_tomorrow_data(self) -> bool:

custom_components/tibber_prices/coordinator/helpers.py

@@ -109,32 +109,33 @@ def needs_tomorrow_data(
     cached_price_data: dict[str, Any] | None,
 ) -> bool:
     """
-    Check if tomorrow data is missing or invalid in flat interval list.
+    Check if tomorrow data is missing or invalid in cached price data.
+
+    Expects single-home cache format: {"price_info": [...], "home_id": "xxx"}
+
+    Old multi-home format (v0.14.0) is automatically invalidated by is_cache_valid()
+    in cache.py, so we only need to handle the current format here.
 
     Uses get_intervals_for_day_offsets() to automatically determine tomorrow
     based on current date. No explicit date parameter needed.
 
     Args:
-        cached_price_data: Cached price data with homes structure
+        cached_price_data: Cached price data in single-home structure
 
     Returns:
-        True if any home is missing tomorrow's data, False otherwise
+        True if tomorrow's data is missing, False otherwise
 
     """
-    if not cached_price_data or "homes" not in cached_price_data:
+    if not cached_price_data or "price_info" not in cached_price_data:
         return False
 
-    # Check each home's intervals for tomorrow's date
-    for home_data in cached_price_data["homes"].values():
-        # Use helper to get tomorrow's intervals (offset +1 from current date)
-        coordinator_data = {"priceInfo": home_data.get("price_info", [])}
-        tomorrow_intervals = get_intervals_for_day_offsets(coordinator_data, [1])
+    # Single-home format: {"price_info": [...], "home_id": "xxx"}
+    # Use helper to get tomorrow's intervals (offset +1 from current date)
+    coordinator_data = {"priceInfo": cached_price_data.get("price_info", [])}
+    tomorrow_intervals = get_intervals_for_day_offsets(coordinator_data, [1])
 
-        # If no intervals for tomorrow found, we need tomorrow data
-        if not tomorrow_intervals:
-            return True
-
-    return False
+    # If no intervals for tomorrow found, we need tomorrow data
+    return len(tomorrow_intervals) == 0
 
 
 def parse_all_timestamps(price_data: dict[str, Any], *, time: TibberPricesTimeService) -> dict[str, Any]: