fix(douyu): compact long audience trends adaptively

plugins/douyu/main.py

@@ -889,25 +889,43 @@ class DouyuPlugin(MessagePluginInterface):
             self._danmu_recorders[room_id] = recorder
         return recorder
 
-    @staticmethod
+    @classmethod
-    def _normalize_audience_points(points: List[Dict[str, Any]], limit: int = 720) -> List[Dict[str, Any]]:
+    def _normalize_audience_points(cls, points: List[Dict[str, Any]], limit: int = 720) -> List[Dict[str, Any]]:
-        normalized_map: Dict[str, Dict[str, Any]] = {}
+        minute_map: Dict[str, Dict[str, Any]] = {}
         for item in points or []:
             timestamp = str(item.get("timestamp") or "").strip()
-            if not timestamp:
+            point_dt = cls._parse_session_time(timestamp)
+            if not point_dt:
                 continue
-            minute_key = timestamp[:16]
+            minute_key = point_dt.strftime("%Y-%m-%d %H:%M")
-            normalized_map[minute_key] = {
+            minute_map[minute_key] = {
                 "timestamp": timestamp,
                 "vip_count": int(item.get("vip_count", 0) or 0),
                 "diamond_count": int(item.get("diamond_count", 0) or 0),
             }
-        normalized = list(normalized_map.values())
+
+        normalized = list(minute_map.values())
         normalized.sort(key=lambda row: row.get("timestamp", ""))
-        if len(normalized) > limit:
+        if len(normalized) <= limit:
-            normalized = normalized[-limit:]
             return normalized
 
+        bucket_size_minutes = max((len(normalized) + limit - 1) // limit, 1)
+        bucket_map: Dict[str, Dict[str, Any]] = {}
+        for item in normalized:
+            point_dt = cls._parse_session_time(str(item.get("timestamp") or ""))
+            if not point_dt:
+                continue
+            total_minutes = int(point_dt.timestamp() // 60)
+            bucket_start_minutes = total_minutes - (total_minutes % bucket_size_minutes)
+            bucket_key = str(bucket_start_minutes)
+            bucket_map[bucket_key] = item
+
+        compressed = list(bucket_map.values())
+        compressed.sort(key=lambda row: row.get("timestamp", ""))
+        if len(compressed) > limit:
+            compressed = compressed[-limit:]
+        return compressed
+
     def _record_room_audience_point(self, room_id: str, point: Dict[str, Any]) -> None:
         if not self.redis_manager or not room_id:
             return