feat: allow fail fast

api/core/rag/datasource/retrieval_service.py

@@ -106,7 +106,12 @@ class RetrievalService:
                         )
                     )
 
-            concurrent.futures.wait(futures, timeout=3600, return_when=concurrent.futures.ALL_COMPLETED)
+            if futures:
+                for future in concurrent.futures.as_completed(futures, timeout=3600):
+                    if future.exception():
+                        for f in futures:
+                            f.cancel()
+                        break
 
         if exceptions:
             raise ValueError(";\n".join(exceptions))
@@ -662,7 +667,14 @@ class RetrievalService:
                             document_ids_filter=document_ids_filter,
                         )
                     )
-                concurrent.futures.wait(futures, timeout=300, return_when=concurrent.futures.ALL_COMPLETED)
+                # Use as_completed for early error propagation - cancel remaining futures on first error
+                if futures:
+                    for future in concurrent.futures.as_completed(futures, timeout=300):
+                        if future.exception():
+                            # Cancel remaining futures to avoid unnecessary waiting
+                            for f in futures:
+                                f.cancel()
+                            break
 
             if exceptions:
                 raise ValueError(";\n".join(exceptions))

api/core/rag/retrieval/dataset_retrieval.py

@@ -516,6 +516,9 @@ class DatasetRetrieval:
                     ].embedding_model_provider
                     weights["vector_setting"]["embedding_model_name"] = available_datasets[0].embedding_model
         with measure_time() as timer:
+            cancel_event = threading.Event()
+            thread_exceptions: list[Exception] = []
+
             if query:
                 query_thread = threading.Thread(
                     target=self._multiple_retrieve_thread,
@@ -534,6 +537,8 @@ class DatasetRetrieval:
                         "score_threshold": score_threshold,
                         "query": query,
                         "attachment_id": None,
+                        "cancel_event": cancel_event,
+                        "thread_exceptions": thread_exceptions,
                     },
                 )
                 all_threads.append(query_thread)
@@ -557,12 +562,21 @@ class DatasetRetrieval:
                             "score_threshold": score_threshold,
                             "query": None,
                             "attachment_id": attachment_id,
+                            "cancel_event": cancel_event,
+                            "thread_exceptions": thread_exceptions,
                         },
                     )
                     all_threads.append(attachment_thread)
                     attachment_thread.start()
+
             for thread in all_threads:
-                thread.join()
+                thread.join(timeout=300)
+                if thread_exceptions:
+                    cancel_event.set()
+                    break
+
+            if thread_exceptions:
+                raise thread_exceptions[0]
         self._on_query(query, attachment_ids, dataset_ids, app_id, user_from, user_id)
 
         if all_documents:
@@ -1402,40 +1416,49 @@ class DatasetRetrieval:
         score_threshold: float,
         query: str | None,
         attachment_id: str | None,
+        cancel_event: threading.Event | None = None,
+        thread_exceptions: list[Exception] | None = None,
     ):
-        with flask_app.app_context():
-            threads = []
-            all_documents_item: list[Document] = []
-            index_type = None
-            for dataset in available_datasets:
-                index_type = dataset.indexing_technique
-                document_ids_filter = None
-                if dataset.provider != "external":
-                    if metadata_condition and not metadata_filter_document_ids:
-                        continue
-                    if metadata_filter_document_ids:
-                        document_ids = metadata_filter_document_ids.get(dataset.id, [])
-                        if document_ids:
-                            document_ids_filter = document_ids
-                        else:
+        try:
+            with flask_app.app_context():
+                threads = []
+                all_documents_item: list[Document] = []
+                index_type = None
+                for dataset in available_datasets:
+                    # Check for cancellation signal
+                    if cancel_event and cancel_event.is_set():
+                        break
+                    index_type = dataset.indexing_technique
+                    document_ids_filter = None
+                    if dataset.provider != "external":
+                        if metadata_condition and not metadata_filter_document_ids:
                             continue
-                retrieval_thread = threading.Thread(
-                    target=self._retriever,
-                    kwargs={
-                        "flask_app": flask_app,
-                        "dataset_id": dataset.id,
-                        "query": query,
-                        "top_k": top_k,
-                        "all_documents": all_documents_item,
-                        "document_ids_filter": document_ids_filter,
-                        "metadata_condition": metadata_condition,
-                        "attachment_ids": [attachment_id] if attachment_id else None,
-                    },
-                )
-                threads.append(retrieval_thread)
-                retrieval_thread.start()
-            for thread in threads:
-                thread.join()
+                        if metadata_filter_document_ids:
+                            document_ids = metadata_filter_document_ids.get(dataset.id, [])
+                            if document_ids:
+                                document_ids_filter = document_ids
+                            else:
+                                continue
+                    retrieval_thread = threading.Thread(
+                        target=self._retriever,
+                        kwargs={
+                            "flask_app": flask_app,
+                            "dataset_id": dataset.id,
+                            "query": query,
+                            "top_k": top_k,
+                            "all_documents": all_documents_item,
+                            "document_ids_filter": document_ids_filter,
+                            "metadata_condition": metadata_condition,
+                            "attachment_ids": [attachment_id] if attachment_id else None,
+                        },
+                    )
+                    threads.append(retrieval_thread)
+                    retrieval_thread.start()
+                for thread in threads:
+                    thread.join(timeout=300)
+                    # Check for cancellation signal between threads
+                    if cancel_event and cancel_event.is_set():
+                        break
 
             if reranking_enable:
                 # do rerank for searched documents
@@ -1468,3 +1491,8 @@ class DatasetRetrieval:
                     all_documents_item = all_documents_item[:top_k] if top_k else all_documents_item
             if all_documents_item:
                 all_documents.extend(all_documents_item)
+        except Exception as e:
+            if cancel_event:
+                cancel_event.set()
+            if thread_exceptions is not None:
+                thread_exceptions.append(e)

api/tests/unit_tests/core/rag/retrieval/test_dataset_retrieval.py

@@ -421,7 +421,18 @@ class TestRetrievalService:
             # In real code, this waits for all futures to complete
             # In tests, futures complete immediately, so wait is a no-op
             with patch("core.rag.datasource.retrieval_service.concurrent.futures.wait"):
-                yield mock_executor
+                # Mock concurrent.futures.as_completed for early error propagation
+                # In real code, this yields futures as they complete
+                # In tests, we yield all futures immediately since they're already done
+                def mock_as_completed(futures_list, timeout=None):
+                    """Mock as_completed that yields futures immediately."""
+                    yield from futures_list
+
+                with patch(
+                    "core.rag.datasource.retrieval_service.concurrent.futures.as_completed",
+                    side_effect=mock_as_completed,
+                ):
+                    yield mock_executor
 
     # ==================== Vector Search Tests ====================