Feat: Support re-segmentation (#114)

Co-authored-by: John Wang <takatost@gmail.com> Co-authored-by: Jyong <718720800@qq.com> Co-authored-by: 金伟强 <iamjoel007@gmail.com>
2023-06-01 23:19:36 +08:00
parent f65a3ad1cc
commit c67f626b66
61 changed files with 1166 additions and 759 deletions
--- a/api/tasks/document_indexing_update_task.py
+++ b/api/tasks/document_indexing_update_task.py
@@ -0,0 +1,85 @@
+import datetime
+import logging
+import time
+
+import click
+from celery import shared_task
+from werkzeug.exceptions import NotFound
+
+from core.index.keyword_table_index import KeywordTableIndex
+from core.index.vector_index import VectorIndex
+from core.indexing_runner import IndexingRunner, DocumentIsPausedException
+from core.llm.error import ProviderTokenNotInitError
+from extensions.ext_database import db
+from models.dataset import Document, Dataset, DocumentSegment
+
+
+@shared_task
+def document_indexing_update_task(dataset_id: str, document_id: str):
+    """
+    Async update document
+    :param dataset_id:
+    :param document_id:
+
+    Usage: document_indexing_update_task.delay(dataset_id, document_id)
+    """
+    logging.info(click.style('Start update document: {}'.format(document_id), fg='green'))
+    start_at = time.perf_counter()
+
+    document = db.session.query(Document).filter(
+        Document.id == document_id,
+        Document.dataset_id == dataset_id
+    ).first()
+
+    if not document:
+        raise NotFound('Document not found')
+
+    document.indexing_status = 'parsing'
+    document.processing_started_at = datetime.datetime.utcnow()
+    db.session.commit()
+
+    # delete all document segment and index
+    try:
+        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+        if not dataset:
+            raise Exception('Dataset not found')
+
+        vector_index = VectorIndex(dataset=dataset)
+        keyword_table_index = KeywordTableIndex(dataset=dataset)
+
+        segments = db.session.query(DocumentSegment).filter(DocumentSegment.document_id == document_id).all()
+        index_node_ids = [segment.index_node_id for segment in segments]
+
+        # delete from vector index
+        vector_index.del_nodes(index_node_ids)
+
+        # delete from keyword index
+        if index_node_ids:
+            keyword_table_index.del_nodes(index_node_ids)
+
+        for segment in segments:
+            db.session.delete(segment)
+
+        end_at = time.perf_counter()
+        logging.info(
+            click.style('Cleaned document when document update data source or process rule: {} latency: {}'.format(document_id, end_at - start_at), fg='green'))
+    except Exception:
+        logging.exception("Cleaned document when document update data source or process rule failed")
+    try:
+        indexing_runner = IndexingRunner()
+        indexing_runner.run(document)
+        end_at = time.perf_counter()
+        logging.info(click.style('update document: {} latency: {}'.format(document.id, end_at - start_at), fg='green'))
+    except DocumentIsPausedException:
+        logging.info(click.style('Document update paused, document id: {}'.format(document.id), fg='yellow'))
+    except ProviderTokenNotInitError as e:
+        document.indexing_status = 'error'
+        document.error = str(e.description)
+        document.stopped_at = datetime.datetime.utcnow()
+        db.session.commit()
+    except Exception as e:
+        logging.exception("consume update document failed")
+        document.indexing_status = 'error'
+        document.error = str(e)
+        document.stopped_at = datetime.datetime.utcnow()
+        db.session.commit()