重构: confirmDialog抽composable+tool_result反向查找+search列限定

- FR-D5 抽 useConfirm 收敛 4 视图(Projects/ProjectDetail/Ideas/Settings)确认弹层重复
- FR-D4 replace_tool_result_content 正向 O(n) 改反向 rposition(审批替换命中最近,调用低频)
- FR-D2 search_vector SELECT * 改显式 14 列(消除隐式依赖,字段级精简待单独立项)

crates/df-ai/src/context.rs

@@ -278,8 +278,11 @@ impl ContextManager {
 
     /// 就地替换某条 tool_result 的内容（兼容审批 replace_tool_result）
     /// 返回 true 如果找到并替换了
+    ///
+    /// 反向遍历：tool_result 由 append 进入历史，被替换的通常是最近的审批占位，
+    /// 从尾部查找命中即停，避免对长历史做正向 O(n) 累积扫描。
     pub fn replace_tool_result_content(&mut self, tool_call_id: &str, new_content: &str) -> bool {
-        let pos = self.messages.iter().position(|t| {
+        let pos = self.messages.iter().rposition(|t| {
             matches!(t.message.role, MessageRole::Tool)
                 && t.message.tool_call_id.as_deref() == Some(tool_call_id)
         });

crates/df-storage/src/crud.rs

@@ -1174,13 +1174,29 @@ impl KnowledgeRepo {
     ///
     /// 返回 (记录, 相似度分数)。数据量 <50k 时暴力遍历 <50ms,够用;
     /// 更大规模再升 sqlite-vec HNSW(结果不变,只提速)。
+    ///
+    /// 列限定: 显式列出所需列(与 search/list_by_status/top_used 一致),避免 SELECT *
+    /// 拉到未知新增列;embedding 单独取(不入 KnowledgeRecord)。
+    ///
+    /// TODO(性能,低优先): 调用方(hybrid_search→merge_hybrid_results→build_knowledge_context)
+    /// 实际只消费 id/kind/title/content/reuse_count;reasoning(AI 生成大文本)、tags、
+    /// source_project/source_ref 等元字段未被使用却仍随每行读出。真正省 IO 需返回精简结构
+    /// (如 KnowledgeVectorHit { id, kind, title, content, reuse_count })替换返回类型,
+    /// 但这会改变 search_vector 签名与 merge_hybrid_results 调用契约——当前保守不动,
+    /// 待向量检索量级或 reasoning 文本体积成为瓶颈再单独立项。SELECT 列化本身不省字段,
+    /// 仅消除 SELECT * 的隐式依赖与未知列风险。
     pub async fn search_vector(&self, query_vec: &[f32], limit: usize) -> Result<Vec<(KnowledgeRecord, f32)>> {
         let conn = self.conn.clone();
         let query_vec = query_vec.to_vec();
         tokio::task::spawn_blocking(move || {
             let guard = conn.blocking_lock();
+            // 显式列: 14 个 KnowledgeRecord 字段 + embedding(余弦计算用)
+            const COLS: &str = "id,kind,title,content,tags,status,confidence,reuse_count,verified,\
+                                source_project,source_ref,reasoning,created_at,updated_at,embedding";
             let mut stmt = guard
-                .prepare("SELECT * FROM knowledges WHERE status = 'published' AND embedding IS NOT NULL")
+                .prepare(&format!(
+                    "SELECT {COLS} FROM knowledges WHERE status = 'published' AND embedding IS NOT NULL"
+                ))
                 .map_err(|e| Error::Storage(e.to_string()))?;
             let rows = stmt
                 .query_map([], |row| {