From 844e15a79703e2719c93e186eafaea0dacb2b6c4 Mon Sep 17 00:00:00 2001
From: hbrain <hbrain@piagent.local>
Date: Thu, 25 Jun 2026 11:33:43 +0000
Subject: [PATCH] History stats sensor prioritized

---
 ha_observer.py | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)

diff --git a/ha_observer.py b/ha_observer.py
index 3140687..6b20490 100755
--- a/ha_observer.py
+++ b/ha_observer.py
@@ -125,6 +125,17 @@ IMPORTANT_ENTITY_KEYWORDS = {
     "smb_": 60,
 }
 
+HISTORY_STATS_MARKERS = {
+    "_daily",
+    "_weekly",
+    "_monthly",
+    "_last7days",
+    "_last_7_days",
+    "_work_hours",
+    "_flex_hours",
+    "_count_sql",
+}
+
 
 class ConfigError(RuntimeError):
     pass
@@ -480,6 +491,18 @@ def display_time(value: str | None) -> str:
         return value
 
 
+def looks_like_history_stats_sensor(entity_id: str, attrs: dict[str, Any] | None = None) -> bool:
+    attrs = attrs or {}
+    if not entity_id.startswith("sensor."):
+        return False
+    text = f"{entity_id} {attrs.get('friendly_name', '')}".lower()
+    if any(marker in text for marker in HISTORY_STATS_MARKERS):
+        return True
+    if any(marker in text for marker in {"work hours", "flex hours"}):
+        return True
+    return attrs.get("device_class") == "duration" and any(marker in text for marker in {"hours today", "hours this week"})
+
+
 def entity_importance(entity_id: str, attrs: dict[str, Any] | None = None) -> int:
     attrs = attrs or {}
     domain = entity_id.split(".", 1)[0]
@@ -505,6 +528,11 @@ def entity_importance(entity_id: str, attrs: dict[str, Any] | None = None) -> in
         if keyword in text:
             score += points
 
+    # History Stats sensors summarize behavior over a day/week/month; keep them
+    # above lower-value chatter when snapshots are capped.
+    if looks_like_history_stats_sensor(entity_id, attrs):
+        score += 220
+
     # Sønderborg/Denmark home is the primary residence and absolute priority.
     # Samobor/Croatia entities use the smb_ prefix and are still included, but
     # they should lose ties when the LLM input has to be size-limited.