feat(api): 增強版主題萃取 (12 領域分類)

- 效能: timeout, latency, memory, cpu
- 網路: network, connection
- 儲存: disk, database
- 容器: pod, scaling
- 應用: error, config

支援中英文關鍵字匹配
TODO Phase 7: 整合 OpenClaw LLM 智能萃取

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

apps/api/src/api/v1/stats.py

@@ -538,12 +538,33 @@ async def get_feedback_summary(
                 negative += 1
 
         # 萃取主題 (從 learning_notes)
+        # TODO Phase 7: 整合 OpenClaw LLM 進行智能主題萃取
         notes = o.get("learning_notes") or o.get("notes") or ""
         if notes:
-            # 簡單關鍵字萃取 (未來可用 NLP)
-            for keyword in ["timeout", "memory", "network", "disk", "cpu", "connection"]:
-                if keyword.lower() in notes.lower():
-                    themes[keyword] = themes.get(keyword, 0) + 1
+            notes_lower = notes.lower()
+            # 增強版關鍵字萃取 (按領域分類)
+            theme_keywords = {
+                # 效能類
+                "timeout": ["timeout", "超時", "timed out", "deadline"],
+                "latency": ["latency", "延遲", "slow", "慢", "p99", "p95"],
+                "memory": ["memory", "記憶體", "oom", "heap", "內存"],
+                "cpu": ["cpu", "處理器", "high load", "負載"],
+                # 網路類
+                "network": ["network", "網路", "dns", "connection refused"],
+                "connection": ["connection", "連線", "socket", "tcp"],
+                # 儲存類
+                "disk": ["disk", "磁碟", "storage", "io", "iops"],
+                "database": ["database", "資料庫", "db", "query", "deadlock"],
+                # 容器類
+                "pod": ["pod", "container", "restart", "crashloop"],
+                "scaling": ["scale", "擴容", "replica", "hpa"],
+                # 應用類
+                "error": ["error", "錯誤", "exception", "fail"],
+                "config": ["config", "配置", "env", "secret"],
+            }
+            for theme, keywords in theme_keywords.items():
+                if any(kw in notes_lower for kw in keywords):
+                    themes[theme] = themes.get(theme, 0) + 1
 
     # 取前 5 個常見主題
     sorted_themes = sorted(themes.items(), key=lambda x: x[1], reverse=True)[:5]