reduce overhead

homeassistant/components/usage_prediction/__init__.py

@@ -47,7 +47,7 @@ async def ws_common_control(
 ) -> None:
     """Handle usage prediction common control WebSocket API."""
     result = await get_cached_common_control(hass, connection.user.id)
-    time_category = common_control.time_category(dt_util.now())
+    time_category = common_control.time_category(dt_util.now().hour)
     connection.send_result(
         msg["id"],
         {

homeassistant/components/usage_prediction/common_control.py

@@ -2,11 +2,12 @@
 
 from __future__ import annotations
 
-from collections import Counter, OrderedDict
+from collections import Counter
 from collections.abc import Callable
 from datetime import datetime, timedelta
-import json
+from functools import cache
 import logging
+from typing import Any, cast
 
 from sqlalchemy import select
 from sqlalchemy.orm import Session
@@ -17,6 +18,7 @@ from homeassistant.components.recorder.models import uuid_hex_to_bytes_or_none
 from homeassistant.components.recorder.util import session_scope
 from homeassistant.core import HomeAssistant
 from homeassistant.util import dt as dt_util
+from homeassistant.util.json import json_loads_object
 
 _LOGGER = logging.getLogger(__name__)
 
@@ -26,9 +28,9 @@ TIME_CATEGORIES = ["morning", "afternoon", "evening", "night"]
 RESULTS_TO_SHOW = 8
 
 
-def time_category(dt: datetime) -> str:
+@cache
-    """Determine the time category for a given datetime."""
+def time_category(hour: int) -> str:
-    hour = dt.hour
+    """Determine the time category for a given hour."""
     if 6 <= hour < 12:
         return "morning"
     if 12 <= hour < 18:
@@ -62,13 +64,13 @@ async def async_predict_common_control(
 def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[str]]:
     """Fetch and process service call events from the database."""
     # Prepare a dictionary to track results
-    results: OrderedDict[str, Counter[str]] = OrderedDict(
+    results: dict[str, Counter[str]] = {
-        (time_cat, Counter()) for time_cat in TIME_CATEGORIES
+        time_cat: Counter() for time_cat in TIME_CATEGORIES
-    )
+    }
 
     # Keep track of contexts that we processed so that we will only process
     # the first service call in a context, and not subsequent calls.
-    context_processed = set()
+    context_processed: set[bytes] = set()
 
     # Build the query to get call_service events
     # First, get the event_type_id for 'call_service'
@@ -91,7 +93,6 @@ def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[st
     query = (
         select(
             Events.context_id_bin,
-            Events.context_user_id_bin,
             Events.time_fired_ts,
             EventData.shared_data,
         )
@@ -104,11 +105,13 @@ def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[st
     )
 
     # Execute the query
-    for row in session.execute(query):
+    context_id: bytes
-        context_id = row.context_id_bin
+    time_fired_ts: float
-        shared_data = row.shared_data
+    shared_data: str | None
-        time_fired_ts = row.time_fired_ts
+    local_time_zone = dt_util.get_default_time_zone()
-
+    for context_id, time_fired_ts, shared_data in (
+        session.connection().execute(query).all()
+    ):
         # Skip if we have already processed an event that was part of this context
         if context_id in context_processed:
             continue
@@ -118,7 +121,7 @@ def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[st
             continue
 
         try:
-            event_data = json.loads(shared_data)
+            event_data = json_loads_object(shared_data)
         except (ValueError, TypeError) as err:
             _LOGGER.debug("Failed to parse event data: %s", err)
             continue
@@ -127,12 +130,13 @@ def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[st
         if not event_data:
             continue
 
-        service_data = event_data.get("service_data")
+        service_data = cast(dict[str, Any] | None, event_data.get("service_data"))
 
         # No service data found, skipping
         if not service_data:
             continue
 
+        entity_ids: str | list[str] | None
         if (target := service_data.get("target")) and (
             target_entity_ids := target.get("entity_id")
         ):
@@ -152,25 +156,20 @@ def _fetch_and_process_data(session: Session, user_id: str) -> dict[str, list[st
 
         # Convert timestamp to datetime and determine time category
         if time_fired_ts:
-            time_fired = dt_util.utc_from_timestamp(time_fired_ts)
             # Convert to local time for time category determination
-            local_time = dt_util.as_local(time_fired)
+            period = time_category(
-            period = time_category(local_time)
+                datetime.fromtimestamp(time_fired_ts, local_time_zone).hour
+            )
 
             # Count entity usage
             for entity_id in entity_ids:
                 results[period][entity_id] += 1
 
     # Convert results to lists of top entities
-    final_results = {}
+    return {
-
+        period: [ent_id for (ent_id, _) in period_results.most_common(RESULTS_TO_SHOW)]
-    for period, period_results in results.items():
+        for period, period_results in results.items()
-        entities = [
+    }
-            ent_id for (ent_id, _count) in period_results.most_common(RESULTS_TO_SHOW)
-        ]
-        final_results[period] = entities
-
-    return final_results
 
 
 def _fetch_with_session(