优化: AI治理与性能(tool_failure_stats失败率统计命令 + git status仓库级缓存治cmd闪烁N²) + 销账

crates/df-storage/src/crud/conversation_repo.rs

@@ -463,6 +463,55 @@ impl AiToolExecutionRepo {
         .await
         .map_err(storage_err)?
     }
+
+    /// 按工具聚合执行统计(status 分布计数,AC-5 运行时失败率画像数据源)。
+    ///
+    /// 单条 GROUP BY 取 `(tool_name, status, count)` 三元组;内存聚合与失败率口径
+    /// (failed_rate = failed / (completed + failed))在命令层完成(record.rs
+    /// `tool_failure_stats`),本层只负责取数,不掺展示逻辑。
+    /// `from`:可选时间下限(millis,`requested_at >= from`),None = 全量。
+    ///
+    /// 与本表其他查询同理走专用 SELECT(通用 query 宏硬编码 ORDER BY created_at,
+    /// 本表无该列)。`requested_at` 存毫秒数字符串,`CAST AS INTEGER` 数值比较
+    /// (对齐 `cleanup_stale_pending` 同口径)。参数化绑定防注入。
+    pub async fn stats_by_tool(&self, from: Option<i64>) -> Result<Vec<(String, String, i64)>> {
+        let conn = self.conn.clone();
+        tokio::task::spawn_blocking(move || {
+            let guard = conn.blocking_lock();
+            // 条件分支仅差 WHERE + 参数,一条 GROUP BY 复用(match 分支互斥,stmt 借用安全)
+            let (sql, param): (&str, Option<i64>) = match from {
+                Some(f) => (
+                    "SELECT tool_name, status, COUNT(*) FROM ai_tool_executions \
+                     WHERE CAST(requested_at AS INTEGER) >= ?1 GROUP BY tool_name, status",
+                    Some(f),
+                ),
+                None => (
+                    "SELECT tool_name, status, COUNT(*) FROM ai_tool_executions \
+                     GROUP BY tool_name, status",
+                    None,
+                ),
+            };
+            let row_map = |row: &rusqlite::Row| {
+                Ok((
+                    row.get::<_, String>(0)?,
+                    row.get::<_, String>(1)?,
+                    row.get::<_, i64>(2)?,
+                ))
+            };
+            let mut stmt = guard.prepare(sql).map_err(storage_err)?;
+            let mut rows = match param {
+                Some(f) => stmt.query_map(params![f], row_map).map_err(storage_err)?,
+                None => stmt.query_map([], row_map).map_err(storage_err)?,
+            };
+            let mut out = Vec::new();
+            for r in &mut rows {
+                out.push(r.map_err(storage_err)?);
+            }
+            Ok(out)
+        })
+        .await
+        .map_err(storage_err)?
+    }
 }
 
 // AiConversationRepo 的整体更新已由 impl_repo! 宏统一生成的 update_full 提供。