dify

2025-12-01 17:21:38 +08:00
parent 32fee2b8ab
commit fab8c13cb3
7511 changed files with 996300 additions and 0 deletions
--- a/dify/api/tasks/enable_segments_to_index_task.py
+++ b/dify/api/tasks/enable_segments_to_index_task.py
@@ -0,0 +1,116 @@
+import logging
+import time
+
+import click
+from celery import shared_task
+from sqlalchemy import select
+
+from core.rag.index_processor.constant.index_type import IndexType
+from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
+from core.rag.models.document import ChildDocument, Document
+from extensions.ext_database import db
+from extensions.ext_redis import redis_client
+from libs.datetime_utils import naive_utc_now
+from models.dataset import Dataset, DocumentSegment
+from models.dataset import Document as DatasetDocument
+
+logger = logging.getLogger(__name__)
+
+
+@shared_task(queue="dataset")
+def enable_segments_to_index_task(segment_ids: list, dataset_id: str, document_id: str):
+    """
+    Async enable segments to index
+    :param segment_ids: list of segment ids
+    :param dataset_id: dataset id
+    :param document_id: document id
+
+    Usage: enable_segments_to_index_task.delay(segment_ids, dataset_id, document_id)
+    """
+    start_at = time.perf_counter()
+    dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
+    if not dataset:
+        logger.info(click.style(f"Dataset {dataset_id} not found, pass.", fg="cyan"))
+        return
+
+    dataset_document = db.session.query(DatasetDocument).where(DatasetDocument.id == document_id).first()
+
+    if not dataset_document:
+        logger.info(click.style(f"Document {document_id} not found, pass.", fg="cyan"))
+        db.session.close()
+        return
+    if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != "completed":
+        logger.info(click.style(f"Document {document_id} status is invalid, pass.", fg="cyan"))
+        db.session.close()
+        return
+    # sync index processor
+    index_processor = IndexProcessorFactory(dataset_document.doc_form).init_index_processor()
+
+    segments = db.session.scalars(
+        select(DocumentSegment).where(
+            DocumentSegment.id.in_(segment_ids),
+            DocumentSegment.dataset_id == dataset_id,
+            DocumentSegment.document_id == document_id,
+        )
+    ).all()
+    if not segments:
+        logger.info(click.style(f"Segments not found: {segment_ids}", fg="cyan"))
+        db.session.close()
+        return
+
+    try:
+        documents = []
+        for segment in segments:
+            document = Document(
+                page_content=segment.content,
+                metadata={
+                    "doc_id": segment.index_node_id,
+                    "doc_hash": segment.index_node_hash,
+                    "document_id": document_id,
+                    "dataset_id": dataset_id,
+                },
+            )
+
+            if dataset_document.doc_form == IndexType.PARENT_CHILD_INDEX:
+                child_chunks = segment.get_child_chunks()
+                if child_chunks:
+                    child_documents = []
+                    for child_chunk in child_chunks:
+                        child_document = ChildDocument(
+                            page_content=child_chunk.content,
+                            metadata={
+                                "doc_id": child_chunk.index_node_id,
+                                "doc_hash": child_chunk.index_node_hash,
+                                "document_id": document_id,
+                                "dataset_id": dataset_id,
+                            },
+                        )
+                        child_documents.append(child_document)
+                    document.children = child_documents
+            documents.append(document)
+        # save vector index
+        index_processor.load(dataset, documents)
+
+        end_at = time.perf_counter()
+        logger.info(click.style(f"Segments enabled to index latency: {end_at - start_at}", fg="green"))
+    except Exception as e:
+        logger.exception("enable segments to index failed")
+        # update segment error msg
+        db.session.query(DocumentSegment).where(
+            DocumentSegment.id.in_(segment_ids),
+            DocumentSegment.dataset_id == dataset_id,
+            DocumentSegment.document_id == document_id,
+        ).update(
+            {
+                "error": str(e),
+                "status": "error",
+                "disabled_at": naive_utc_now(),
+                "enabled": False,
+            }
+        )
+        db.session.commit()
+    finally:
+        for segment in segments:
+            indexing_cache_key = f"segment_{segment.id}_indexing"
+            redis_client.delete(indexing_cache_key)
+        db.session.close()