dify/api/tasks/clean_dataset_task.py

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import logging
import time
import click
from celery import shared_task
from core.index.index import IndexBuilder
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from extensions.ext_database import db
from models.dataset import DocumentSegment, Dataset, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
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AppDatasetJoin, Document
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@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
)
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documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all()
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segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
vector_index = IndexBuilder.get_index(dataset, 'high_quality')
kw_index = IndexBuilder.get_index(dataset, 'economy')
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# delete from vector index
if vector_index:
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try:
vector_index.delete()
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except Exception:
logging.exception("Delete doc index failed when dataset deleted.")
# delete from keyword index
try:
kw_index.delete()
except Exception:
logging.exception("Delete nodes index failed when dataset deleted.")
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for document in documents:
db.session.delete(document)
for segment in segments:
db.session.delete(segment)
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")