fix(display): 規則匹配改顯示 ✅ 取代 🔴 0% + 修復 LLM 字串 confidence 解析

- telegram_gateway.py: confidence==0 (規則匹配/Expert fallback) 不再顯示
  「🔴 0%」，改顯示「⚙️ 規則匹配 ✅」，兩個 card 類型都修正
- openclaw.py: NIM/Ollama 有時回傳字串 "0.85" 而非 float，導致
  isinstance(str, int|float)=False → confidence 被強制設 0.0。
  現在先嘗試 float() 解析，解析失敗才 fallback 0.0

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

apps/api/src/services/openclaw.py

@@ -1158,6 +1158,12 @@ class OpenClawService:
 
             # Step 2.5: 2026-04-01 Claude Code - 斷片補全 (信心度必須誠實)
             # 🔴 禁止填入假信心度！截斷 = 0.0，讓 auto-approve 正確判斷
+            # 2026-04-12 ogt: NIM/Ollama 有時回傳字串 "0.85"，先嘗試 parse 再判斷
+            if "confidence" in data and isinstance(data["confidence"], str):
+                try:
+                    data["confidence"] = float(data["confidence"])
+                except (ValueError, TypeError):
+                    data.pop("confidence", None)
             if "confidence" not in data or not isinstance(data["confidence"], int | float):
                 data["confidence"] = 0.0  # 截斷/缺失 → 0.0，不可偽造
             if "risk_level" not in data:

apps/api/src/services/telegram_gateway.py

@@ -275,6 +275,7 @@ class TelegramMessage:
         # 2026-03-29 ogt: 根據 confidence + ai_provider 動態顯示來源
         # confidence > 0 = 真實 AI 分析, confidence == 0 = 規則匹配/降級
         # 2026-04-04 ogt: 加入 ai_model 顯示底層模型名稱
+        # 2026-04-12 ogt: 規則匹配不顯示 🔴 0%，改用 ✅ 避免誤判為錯誤
         if self.confidence > 0 and self.ai_provider:
             provider_names = {
                 "ollama": "Ollama",
@@ -288,10 +289,12 @@ class TelegramMessage:
             provider_display = provider_names.get(self.ai_provider.lower(), self.ai_provider.upper())
             model_suffix = f" ({html.escape(self.ai_model)})" if self.ai_model else ""
             source_label = f"🤖 <b>{provider_display} 仲裁</b>{model_suffix}"
+            conf_line = f"{source_label}  {conf_emoji} {confidence_pct}%"
         elif self.confidence > 0:
             source_label = "🤖 <b>AI 仲裁判定</b>"
+            conf_line = f"{source_label}  {conf_emoji} {confidence_pct}%"
         else:
-            source_label = "⚙️ <b>規則匹配</b>"
+            conf_line = "⚙️ <b>規則匹配</b>  ✅"
 
         # 2026-04-05 Claude Code: 重設計訊息格式，提升易讀性
         # 組裝訊息
@@ -299,7 +302,7 @@ class TelegramMessage:
             f"{self.status_emoji} <b>{html.escape(self.risk_level)}</b>  <code>{html.escape(incident_id)}</code>\n"
             f"<b>{safe_resource}</b>\n"
             f"\n"
-            f"{source_label}  {conf_emoji} {confidence_pct}%\n"
+            f"{conf_line}\n"
             f"👥 {resp_display}\n"
             f"💡 {safe_root_cause}\n"
         )
@@ -379,6 +382,7 @@ class TelegramMessage:
 
         # AI Provider 顯示
         # 2026-04-04 ogt: 加入 ai_model 顯示底層模型名稱
+        # 2026-04-12 ogt: 規則匹配不顯示 🔴 0%，改用 ✅
         if self.confidence > 0 and self.ai_provider:
             provider_names = {
                 "ollama": "Ollama",
@@ -391,11 +395,11 @@ class TelegramMessage:
             }
             provider_display = provider_names.get(self.ai_provider.lower(), self.ai_provider.upper())
             model_suffix = f" ({html.escape(self.ai_model)})" if self.ai_model else ""
-            source_label = f"🤖 <b>{provider_display} 仲裁</b>{model_suffix}"
+            conf_line = f"🤖 <b>{provider_display} 仲裁</b>{model_suffix}  {conf_emoji} {confidence_pct}%"
         elif self.confidence > 0:
-            source_label = "🤖 <b>OpenClaw 仲裁</b>"
+            conf_line = f"🤖 <b>OpenClaw 仲裁</b>  {conf_emoji} {confidence_pct}%"
         else:
-            source_label = "⚙️ <b>規則匹配</b>"
+            conf_line = "⚙️ <b>規則匹配</b>  ✅"
 
         # Nemotron 區塊
         # 2026-04-09 Claude Sonnet 4.6: 顯示 AI 鏈路 — OpenClaw 用哪個模型，Tool Calling 用哪個模型
@@ -440,7 +444,7 @@ class TelegramMessage:
             f"{self.status_emoji} <b>{html.escape(self.risk_level)}</b>  <code>{html.escape(incident_id)}</code>\n"
             f"<b>{safe_resource}</b>\n"
             f"\n"
-            f"{source_label}  {conf_emoji} {confidence_pct}%\n"
+            f"{conf_line}\n"
             f"👥 {resp_display}\n"
             f"💡 {safe_root_cause}\n"
         )