feat(nas): 模型调用统计镜像与界面 - sync_model_calls 表+拉取+聚合统计；fam-ui 新增'🤖 模型统计'页（按模型成功/失败/成功率/平均耗时 + 最近调用明细含失败原因）

fam-ui/src/app.py

@@ -317,7 +317,7 @@ st.sidebar.markdown(
 # 顶部横向导航
 page = st.segmented_control(
     "功能页面",
-    ["🕒 事件时间轴", "💬 AI 对话", "📝 对话历史", "👤 人物管理", "📈 统计图表"],
+    ["🕒 事件时间轴", "💬 AI 对话", "📝 对话历史", "👤 人物管理", "📈 统计图表", "🤖 模型统计"],
     default="🕒 事件时间轴",
     label_visibility="collapsed"
 ) or "🕒 事件时间轴"
@@ -901,3 +901,83 @@ elif page == "📈 统计图表":
     finally:
         if conn:
             conn.close()
+
+# ============================================================
+# 模型统计页（云端模型识别成功/失败统计）
+# ============================================================
+elif page == "🤖 模型统计":
+    page_header('🤖', '云端模型统计', '请求时间 · 耗时 · 成功/失败 · 失败原因')
+
+    conn = None
+    try:
+        conn = get_db_conn()
+        cursor = conn.cursor()
+
+        # ---- 按模型聚合：成功/失败/成功率/平均耗时 ----
+        st.markdown('<div style="font-size:15px;font-weight:700;color:#f1f5f9;'
+                    'margin:6px 0 14px 0;">按模型聚合</div>', unsafe_allow_html=True)
+        cursor.execute(
+            """SELECT provider, model,
+                      SUM(CASE WHEN success=1 THEN 1 ELSE 0 END) AS ok_cnt,
+                      SUM(CASE WHEN success=0 THEN 1 ELSE 0 END) AS fail_cnt,
+                      ROUND(AVG(duration_sec),1) AS avg_dur,
+                      COUNT(*) AS total,
+                      MAX(created_at) AS last_call
+               FROM sync_model_calls GROUP BY provider, model
+               ORDER BY total DESC""")
+        agg = cursor.fetchall()
+        if agg:
+            rows = []
+            for r in agg:
+                total = r['total'] or 0
+                ok = r['ok_cnt'] or 0
+                rate = (ok / total * 100) if total else 0
+                rows.append({
+                    "模型": f"{r['provider']} / {r['model']}",
+                    "成功": ok,
+                    "失败": r['fail_cnt'] or 0,
+                    "成功率%": round(rate, 1),
+                    "平均耗时s": r['avg_dur'],
+                    "最后调用": str(r['last_call'] or '—')[:19],
+                })
+            st.dataframe(rows, use_container_width=True, hide_index=True)
+        else:
+            st.markdown('<div class="fam-empty">暂无模型调用记录（视频处理中或尚未同步）</div>',
+                        unsafe_allow_html=True)
+
+        # ---- 最近调用明细 ----
+        st.markdown('<div style="font-size:15px;font-weight:700;color:#f1f5f9;'
+                    'margin:22px 0 14px 0;">最近调用明细</div>', unsafe_allow_html=True)
+        cursor.execute(
+            """SELECT provider, model, started_at, duration_sec, success, error,
+                      filename, video_id
+               FROM sync_model_calls ORDER BY id DESC LIMIT 100""")
+        calls = cursor.fetchall()
+        if calls:
+            import pandas as pd
+            rows = []
+            for c in calls:
+                rows.append({
+                    "请求时间": str(c['started_at'] or '—')[:19],
+                    "模型": f"{c['provider']} / {c['model']}",
+                    "耗时s": round(c['duration_sec'] or 0, 1),
+                    "状态": "✅ 成功" if c['success'] else "❌ 失败",
+                    "失败原因": (c['error'] or '')[:60],
+                    "视频": (c['filename'] or '')[:40],
+                })
+            st.dataframe(rows, use_container_width=True, hide_index=True)
+        else:
+            st.markdown('<div class="fam-empty">暂无调用明细</div>', unsafe_allow_html=True)
+
+        # ---- 说明 ----
+        st.markdown(
+            '<div style="font-size:11px;color:#64748b;margin-top:10px;">'
+            '统计来自甲骨文端每次云端模型请求的记录（经 30 分钟同步拉取到本地镜像）。'
+            '失败原因取值：429_quota（配额耗尽）/ timeout / 503_overload（过载重试）/ http_xxx / json_parse_failed 等。'
+            '</div>', unsafe_allow_html=True)
+
+    except Exception as e:
+        st.error(f"模型统计查询失败: {e}")
+    finally:
+        if conn:
+            conn.close()