fix(telegram): 修復建議指令被截斷 + decision_manager enum string 補正

根因 1: telegram_gateway.py suggested_action[:35] 剛好截到 deployment/ 後
  → 改為 [:80]，完整顯示 kubectl command

根因 2: 舊 Incident proposal_data 存 enum string (RESTART_DEPLOYMENT)
  → decision_manager.py 加入偵測，用規則引擎重新查 kubectl command

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

apps/api/src/services/decision_manager.py

@@ -105,6 +105,28 @@ async def _push_decision_to_telegram(
         target = incident.affected_services[0] if incident.affected_services else "unknown"
         risk_level = proposal_data.get("risk_level", "medium")
         action = _strip_placeholders(proposal_data.get("action", proposal_data.get("kubectl_command", "")))
+
+        # 2026-04-09 Claude Code: 修復舊 Incident proposal_data 存 enum string 導致建議空白
+        # 舊 code 存 action="RESTART_DEPLOYMENT" 而非 kubectl command
+        # 偵測：無 kubectl/ssh/docker 關鍵字 → 用規則引擎重新查
+        _KUBECTL_MARKERS = ("kubectl", "ssh", "docker", "systemctl", "/")
+        if action and not any(m in action for m in _KUBECTL_MARKERS):
+            # action 是 enum string，嘗試用規則引擎補出 kubectl command
+            try:
+                from src.services.alert_rule_engine import match_rule as _match_rule
+                _labels = incident.signals[0].labels if incident.signals else {}
+                _rule_resp = _match_rule({
+                    "labels": _labels,
+                    "alert_type": _labels.get("alertname", target),
+                    "message": incident.title or "",
+                    "target_resource": target,
+                    "namespace": incident.signals[0].labels.get("namespace", "awoooi-prod") if incident.signals else "awoooi-prod",
+                    "severity": risk_level,
+                })
+                if _rule_resp and _rule_resp.get("kubectl_command", "").strip():
+                    action = _rule_resp["kubectl_command"]
+            except Exception:
+                pass  # 規則引擎失敗不影響通知，保留原 action
         description = proposal_data.get("description", "")
         reasoning = _strip_placeholders(proposal_data.get("reasoning", ""))
         confidence = proposal_data.get("confidence", 0.0)  # 🔴 預設 0.0 表示未經 AI 分析

apps/api/src/services/telegram_gateway.py

@@ -221,7 +221,7 @@ class TelegramMessage:
         # HTML 轉義用戶輸入內容，防止 "Can't parse entities" 錯誤
         safe_resource = html.escape(self.resource_name[:35])
         safe_root_cause = html.escape(self.root_cause[:50])
-        safe_action = html.escape(self.suggested_action[:35])
+        safe_action = html.escape(self.suggested_action[:80])
         safe_downtime = html.escape(self.estimated_downtime)
 
         # 2026-03-29 ogt: AI Token/Cost 顯示
@@ -372,7 +372,7 @@ class TelegramMessage:
         # HTML 轉義
         safe_resource = html.escape(self.resource_name[:35])
         safe_root_cause = html.escape(self.root_cause[:50])
-        safe_action = html.escape(self.suggested_action[:35])
+        safe_action = html.escape(self.suggested_action[:80])
         safe_downtime = html.escape(self.estimated_downtime)
 
         # AI Provider 顯示