mirror of
https://github.com/langgenius/dify.git
synced 2024-11-16 19:59:50 +08:00
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
import datetime
|
|
import logging
|
|
import time
|
|
|
|
import click
|
|
from celery import shared_task
|
|
from werkzeug.exceptions import NotFound
|
|
|
|
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
|
|
from core.rag.models.document import Document
|
|
from extensions.ext_database import db
|
|
from extensions.ext_redis import redis_client
|
|
from models.dataset import Document as DatasetDocument
|
|
from models.dataset import DocumentSegment
|
|
|
|
|
|
@shared_task(queue='dataset')
|
|
def add_document_to_index_task(dataset_document_id: str):
|
|
"""
|
|
Async Add document to index
|
|
:param document_id:
|
|
|
|
Usage: add_document_to_index.delay(document_id)
|
|
"""
|
|
logging.info(click.style('Start add document to index: {}'.format(dataset_document_id), fg='green'))
|
|
start_at = time.perf_counter()
|
|
|
|
dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == dataset_document_id).first()
|
|
if not dataset_document:
|
|
raise NotFound('Document not found')
|
|
|
|
if dataset_document.indexing_status != 'completed':
|
|
return
|
|
|
|
indexing_cache_key = 'document_{}_indexing'.format(dataset_document.id)
|
|
|
|
try:
|
|
segments = db.session.query(DocumentSegment).filter(
|
|
DocumentSegment.document_id == dataset_document.id,
|
|
DocumentSegment.enabled == True
|
|
) \
|
|
.order_by(DocumentSegment.position.asc()).all()
|
|
|
|
documents = []
|
|
for segment in segments:
|
|
document = Document(
|
|
page_content=segment.content,
|
|
metadata={
|
|
"doc_id": segment.index_node_id,
|
|
"doc_hash": segment.index_node_hash,
|
|
"document_id": segment.document_id,
|
|
"dataset_id": segment.dataset_id,
|
|
}
|
|
)
|
|
|
|
documents.append(document)
|
|
|
|
dataset = dataset_document.dataset
|
|
|
|
if not dataset:
|
|
raise Exception('Document has no dataset')
|
|
|
|
index_type = dataset.doc_form
|
|
index_processor = IndexProcessorFactory(index_type).init_index_processor()
|
|
index_processor.load(dataset, documents)
|
|
|
|
end_at = time.perf_counter()
|
|
logging.info(
|
|
click.style('Document added to index: {} latency: {}'.format(dataset_document.id, end_at - start_at), fg='green'))
|
|
except Exception as e:
|
|
logging.exception("add document to index failed")
|
|
dataset_document.enabled = False
|
|
dataset_document.disabled_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
|
|
dataset_document.status = 'error'
|
|
dataset_document.error = str(e)
|
|
db.session.commit()
|
|
finally:
|
|
redis_client.delete(indexing_cache_key)
|