use richer member memory in xiaoniu replies

plugins/ai_auto_response/context_builder.py

@@ -69,16 +69,49 @@ class ContextBuilder:
         meta = member_context.get("meta", {}) or {}
         topics = member_context.get("topics_of_interest", []) or []
         recent_focus = member_context.get("recent_focus", []) or []
+        skills = ContextBuilder._stringify_items(meta.get("skill_profile", []), 5)
+        stable_traits = ContextBuilder._stringify_items(meta.get("stable_traits", []), 4)
+        habits = ContextBuilder._stringify_items(meta.get("habit_patterns", []), 4)
+        reply_prefs = ContextBuilder._stringify_items(meta.get("long_term_reply_preferences", []), 4)
+        recent_state = ContextBuilder._stringify_items(meta.get("recent_state", []), 4)
+        reply_taboos = ContextBuilder._stringify_items(meta.get("reply_taboos", []), 3)
         lines = [
             f"成员摘要：{member_context.get('summary_text', '')}".strip(),
             f"互动风格：{member_context.get('interaction_style', '')}".strip(),
             f"回复偏好：{member_context.get('response_style_hint', '')}".strip(),
             f"长期主题：{', '.join(topics[:5])}" if topics else "",
             f"近期关注：{', '.join(recent_focus[:4])}" if recent_focus else "",
+            f"技能侧重点：{skills}" if skills else "",
+            f"稳定特征：{stable_traits}" if stable_traits else "",
+            f"习惯模式：{habits}" if habits else "",
+            f"长期回复偏好：{reply_prefs}" if reply_prefs else "",
+            f"近期状态：{recent_state}" if recent_state else "",
+            f"气质倾向：{meta.get('temperament_tendency', '')}".strip(),
             f"群内角色：{meta.get('group_role', '')}".strip(),
+            f"回复禁忌：{reply_taboos}" if reply_taboos else "",
         ]
         return "\n".join([line for line in lines if line])
 
+    @staticmethod
+    def _stringify_items(items: List | str, limit: int) -> str:
+        if isinstance(items, str):
+            return items.strip()
+        values: List[str] = []
+        for item in items[:limit]:
+            if isinstance(item, dict):
+                value = str(
+                    item.get("name")
+                    or item.get("label")
+                    or item.get("value")
+                    or item.get("text")
+                    or ""
+                ).strip()
+            else:
+                value = str(item or "").strip()
+            if value and value not in values:
+                values.append(value)
+        return ", ".join(values)
+
     @staticmethod
     def _build_vector_memory_prompt(vector_memories: List[Dict]) -> str:
         if not vector_memories: