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import datetime
import logging
import time
import click
from celery import shared_task
from werkzeug.exceptions import NotFound
from core.indexing_runner import DocumentIsPausedException, IndexingRunner
from core.rag.extractor.notion_extractor import NotionExtractor
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from extensions.ext_database import db
from models.dataset import Dataset, Document, DocumentSegment
from models.source import DataSourceBinding
@shared_task(queue='dataset')
def document_indexing_sync_task(dataset_id: str, document_id: str):
"""
Async update document
:param dataset_id:
:param document_id:
Usage: document_indexing_sync_task.delay(dataset_id, document_id)
"""
logging.info(click.style('Start sync 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')
data_source_info = document.data_source_info_dict
if document.data_source_type == 'notion_import':
if not data_source_info or 'notion_page_id' not in data_source_info \
or 'notion_workspace_id' not in data_source_info:
raise ValueError("no notion page found")
workspace_id = data_source_info['notion_workspace_id']
page_id = data_source_info['notion_page_id']
page_type = data_source_info['type']
page_edited_time = data_source_info['last_edited_time']
data_source_binding = DataSourceBinding.query.filter(
db.and_(
DataSourceBinding.tenant_id == document.tenant_id,
DataSourceBinding.provider == 'notion',
DataSourceBinding.disabled == False,
DataSourceBinding.source_info['workspace_id'] == f'"{workspace_id}"'
)
).first()
if not data_source_binding:
raise ValueError('Data source binding not found.')
loader = NotionExtractor(
notion_workspace_id=workspace_id,
notion_obj_id=page_id,
notion_page_type=page_type,
notion_access_token=data_source_binding.access_token,
tenant_id=document.tenant_id
)
last_edited_time = loader.get_notion_last_edited_time()
# check the page is updated
if last_edited_time != page_edited_time:
document.indexing_status = 'parsing'
document.processing_started_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
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')
index_type = document.doc_form
index_processor = IndexProcessorFactory(index_type).init_index_processor()
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
index_processor.clean(dataset, 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 as ex:
logging.info(click.style(str(ex), fg='yellow'))
except Exception:
pass
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