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import datetime
import logging
import time
import click
from celery import shared_task # type: ignore
from werkzeug.exceptions import NotFound
from core.rag.index_processor.constant.index_type import IndexType
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from core.rag.models.document import ChildDocument, Document
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.dataset import DatasetAutoDisableLog, DocumentSegment
from models.dataset import Document as DatasetDocument
@shared_task(queue="dataset")
def add_document_to_index_task(dataset_document_id: str):
"""
Async Add document to index
:param dataset_document_id:
Usage: add_document_to_index.delay(dataset_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 == False,
DocumentSegment.status == "completed",
)
.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,
},
)
if dataset_document.doc_form == IndexType.PARENT_CHILD_INDEX:
child_chunks = segment.child_chunks
if child_chunks:
child_documents = []
for child_chunk in child_chunks:
child_document = ChildDocument(
page_content=child_chunk.content,
metadata={
"doc_id": child_chunk.index_node_id,
"doc_hash": child_chunk.index_node_hash,
"document_id": segment.document_id,
"dataset_id": segment.dataset_id,
},
)
child_documents.append(child_document)
document.children = child_documents
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)
# delete auto disable log
db.session.query(DatasetAutoDisableLog).filter(
DatasetAutoDisableLog.document_id == dataset_document.id
).delete()
# update segment to enable
db.session.query(DocumentSegment).filter(DocumentSegment.document_id == dataset_document.id).update(
{
DocumentSegment.enabled: True,
DocumentSegment.disabled_at: None,
DocumentSegment.disabled_by: None,
DocumentSegment.updated_at: datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
}
)
db.session.commit()
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.UTC).replace(tzinfo=None)
dataset_document.status = "error"
dataset_document.error = str(e)
db.session.commit()
finally:
redis_client.delete(indexing_cache_key)
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