Initial commit

api/tasks/clean_document_task.py

@@ -0,0 +1,52 @@
+import logging
+import time
+
+import click
+from celery import shared_task
+
+from core.index.keyword_table_index import KeywordTableIndex
+from core.index.vector_index import VectorIndex
+from extensions.ext_database import db
+from models.dataset import DocumentSegment, Dataset
+
+
+@shared_task
+def clean_document_task(document_id: str, dataset_id: str):
+    """
+    Clean document when document deleted.
+    :param document_id: document id
+    :param dataset_id: dataset id
+
+    Usage: clean_document_task.delay(document_id, dataset_id)
+    """
+    logging.info(click.style('Start clean document when document deleted: {}'.format(document_id), fg='green'))
+    start_at = time.perf_counter()
+
+    try:
+        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+
+        if not dataset:
+            raise Exception('Document has no dataset')
+
+        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
+        if dataset.indexing_technique == "high_quality":
+            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 deleted: {} latency: {}'.format(document_id, end_at - start_at), fg='green'))
+    except Exception:
+        logging.exception("Cleaned document when document deleted failed")