refactor: implement tenant self queue for rag tasks (#27559)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: -LAN- <laipz8200@outlook.com>

api/tasks/document_indexing_task.py

@@ -1,11 +1,14 @@
 import logging
 import time
+from collections.abc import Callable, Sequence
 
 import click
 from celery import shared_task
 
 from configs import dify_config
+from core.entities.document_task import DocumentTask
 from core.indexing_runner import DocumentIsPausedError, IndexingRunner
+from core.rag.pipeline.queue import TenantIsolatedTaskQueue
 from enums.cloud_plan import CloudPlan
 from extensions.ext_database import db
 from libs.datetime_utils import naive_utc_now
@@ -22,8 +25,24 @@ def document_indexing_task(dataset_id: str, document_ids: list):
     :param dataset_id:
     :param document_ids:
 
+    .. warning:: TO BE DEPRECATED
+        This function will be deprecated and removed in a future version.
+        Use normal_document_indexing_task or priority_document_indexing_task instead.
+
     Usage: document_indexing_task.delay(dataset_id, document_ids)
     """
+    logger.warning("document indexing legacy mode received: %s - %s", dataset_id, document_ids)
+    _document_indexing(dataset_id, document_ids)
+
+
+def _document_indexing(dataset_id: str, document_ids: Sequence[str]):
+    """
+    Process document for tasks
+    :param dataset_id:
+    :param document_ids:
+
+    Usage: _document_indexing(dataset_id, document_ids)
+    """
     documents = []
     start_at = time.perf_counter()
 
@@ -87,3 +106,63 @@ def document_indexing_task(dataset_id: str, document_ids: list):
         logger.exception("Document indexing task failed, dataset_id: %s", dataset_id)
     finally:
         db.session.close()
+
+
+def _document_indexing_with_tenant_queue(
+    tenant_id: str, dataset_id: str, document_ids: Sequence[str], task_func: Callable[[str, str, Sequence[str]], None]
+):
+    try:
+        _document_indexing(dataset_id, document_ids)
+    except Exception:
+        logger.exception("Error processing document indexing %s for tenant %s: %s", dataset_id, tenant_id)
+    finally:
+        tenant_isolated_task_queue = TenantIsolatedTaskQueue(tenant_id, "document_indexing")
+
+        # Check if there are waiting tasks in the queue
+        # Use rpop to get the next task from the queue (FIFO order)
+        next_tasks = tenant_isolated_task_queue.pull_tasks(count=dify_config.TENANT_ISOLATED_TASK_CONCURRENCY)
+
+        logger.info("document indexing tenant isolation queue next tasks: %s", next_tasks)
+
+        if next_tasks:
+            for next_task in next_tasks:
+                document_task = DocumentTask(**next_task)
+                # Process the next waiting task
+                # Keep the flag set to indicate a task is running
+                tenant_isolated_task_queue.set_task_waiting_time()
+                task_func.delay(  # type: ignore
+                    tenant_id=document_task.tenant_id,
+                    dataset_id=document_task.dataset_id,
+                    document_ids=document_task.document_ids,
+                )
+        else:
+            # No more waiting tasks, clear the flag
+            tenant_isolated_task_queue.delete_task_key()
+
+
+@shared_task(queue="dataset")
+def normal_document_indexing_task(tenant_id: str, dataset_id: str, document_ids: Sequence[str]):
+    """
+    Async process document
+    :param tenant_id:
+    :param dataset_id:
+    :param document_ids:
+
+    Usage: normal_document_indexing_task.delay(tenant_id, dataset_id, document_ids)
+    """
+    logger.info("normal document indexing task received: %s - %s - %s", tenant_id, dataset_id, document_ids)
+    _document_indexing_with_tenant_queue(tenant_id, dataset_id, document_ids, normal_document_indexing_task)
+
+
+@shared_task(queue="priority_dataset")
+def priority_document_indexing_task(tenant_id: str, dataset_id: str, document_ids: Sequence[str]):
+    """
+    Priority async process document
+    :param tenant_id:
+    :param dataset_id:
+    :param document_ids:
+
+    Usage: priority_document_indexing_task.delay(tenant_id, dataset_id, document_ids)
+    """
+    logger.info("priority document indexing task received: %s - %s - %s", tenant_id, dataset_id, document_ids)
+    _document_indexing_with_tenant_queue(tenant_id, dataset_id, document_ids, priority_document_indexing_task)