tjdify/api/tasks/clean_dataset_task.py

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, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
    AppDatasetJoin


@shared_task
def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str, index_struct: str):
    """
    Clean dataset when dataset deleted.
    :param dataset_id: dataset id
    :param tenant_id: tenant id
    :param indexing_technique: indexing technique
    :param index_struct: index struct dict

    Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct)
    """
    logging.info(click.style('Start clean dataset when dataset deleted: {}'.format(dataset_id), fg='green'))
    start_at = time.perf_counter()

    try:
        dataset = Dataset(
            id=dataset_id,
            tenant_id=tenant_id,
            indexing_technique=indexing_technique,
            index_struct=index_struct
        )

        vector_index = VectorIndex(dataset=dataset)
        keyword_table_index = KeywordTableIndex(dataset=dataset)

        documents = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
        index_doc_ids = [document.id for document in documents]
        segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
        index_node_ids = [segment.index_node_id for segment in segments]

        # delete from vector index
        if dataset.indexing_technique == "high_quality":
            for index_doc_id in index_doc_ids:
                try:
                    vector_index.del_doc(index_doc_id)
                except Exception:
                    logging.exception("Delete doc index failed when dataset deleted.")
                    continue

        # delete from keyword index
        if index_node_ids:
            try:
                keyword_table_index.del_nodes(index_node_ids)
            except Exception:
                logging.exception("Delete nodes index failed when dataset deleted.")

        for document in documents:
            db.session.delete(document)

        for segment in segments:
            db.session.delete(segment)

        db.session.query(DatasetKeywordTable).filter(DatasetKeywordTable.dataset_id == dataset_id).delete()
        db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete()
        db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete()
        db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete()

        db.session.commit()

        end_at = time.perf_counter()
        logging.info(
            click.style('Cleaned dataset when dataset deleted: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
    except Exception:
        logging.exception("Cleaned dataset when dataset deleted failed")