feat(RAG): 添加索引任务取消检查并支持目标文件过滤

在索引过程中添加取消检查功能，允许在嵌入批处理时取消任务
支持通过target_files参数限制索引范围

backend/app/api/v1/endpoints/agent_tasks.py

@@ -726,14 +726,20 @@ async def _initialize_tools(
                 except Exception as e:
                     logger.warning(f"Failed to emit embedding progress: {e}")
 
+        # 🔥 创建取消检查函数，用于在嵌入批处理中检查取消状态
+        def check_cancelled() -> bool:
+            return task_id is not None and is_task_cancelled(task_id)
+
         async for progress in indexer.smart_index_directory(
             directory=project_root,
             exclude_patterns=exclude_patterns or [],
+            include_patterns=target_files,  # 🔥 传递 target_files 限制索引范围
             update_mode=IndexUpdateMode.SMART,
             embedding_progress_callback=on_embedding_progress,
+            cancel_check=check_cancelled,  # 🔥 传递取消检查函数
         ):
             # 🔥 在索引过程中检查取消状态
-            if task_id and is_task_cancelled(task_id):
+            if check_cancelled():
                 logger.info(f"[Cancel] RAG indexing cancelled for task {task_id}")
                 raise asyncio.CancelledError("任务已取消")
 

backend/app/services/rag/indexer.py

@@ -962,7 +962,7 @@ class CodeIndexer:
             progress.status_message = f"🔢 生成 {len(all_chunks)} 个代码块的嵌入向量..."
             yield progress
 
-            await self._index_chunks(all_chunks, progress, use_upsert=False, embedding_progress_callback=embedding_progress_callback)
+            await self._index_chunks(all_chunks, progress, use_upsert=False, embedding_progress_callback=embedding_progress_callback, cancel_check=cancel_check)
 
         # 更新 collection 元数据
         project_hash = hashlib.md5(json.dumps(sorted(file_hashes.items())).encode()).hexdigest()
@@ -983,6 +983,7 @@ class CodeIndexer:
         progress: IndexingProgress,
         progress_callback: Optional[Callable[[IndexingProgress], None]],
         embedding_progress_callback: Optional[Callable[[int, int], None]] = None,
+        cancel_check: Optional[Callable[[], bool]] = None,
     ) -> AsyncGenerator[IndexingProgress, None]:
         """增量索引"""
         logger.info("📝 开始增量索引...")
@@ -1099,7 +1100,7 @@ class CodeIndexer:
             progress.status_message = f"🔢 生成 {len(all_chunks)} 个代码块的嵌入向量..."
             yield progress
 
-            await self._index_chunks(all_chunks, progress, use_upsert=True, embedding_progress_callback=embedding_progress_callback)
+            await self._index_chunks(all_chunks, progress, use_upsert=True, embedding_progress_callback=embedding_progress_callback, cancel_check=cancel_check)
 
         # 更新 collection 元数据
         # 移除已删除文件的 hash