mirror of https://github.com/langgenius/dify.git
refactor: document_indexing_update_task split database session (#32105)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
wangxiaolei
NFish
parent
55de893984
commit
284c5f40f1
|
|
@ -81,7 +81,7 @@ dependencies = [
|
|||
"starlette==0.49.1",
|
||||
"tiktoken~=0.9.0",
|
||||
"transformers~=4.56.1",
|
||||
"unstructured[docx,epub,md,ppt,pptx]~=0.16.1",
|
||||
"unstructured[docx,epub,md,ppt,pptx]~=0.18.18",
|
||||
"yarl~=1.18.3",
|
||||
"webvtt-py~=0.5.1",
|
||||
"sseclient-py~=1.8.0",
|
||||
|
|
|
|||
|
|
@ -36,25 +36,19 @@ def document_indexing_update_task(dataset_id: str, document_id: str):
|
|||
document.indexing_status = "parsing"
|
||||
document.processing_started_at = naive_utc_now()
|
||||
|
||||
# delete all document segment and index
|
||||
try:
|
||||
dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
|
||||
if not dataset:
|
||||
raise Exception("Dataset not found")
|
||||
dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
|
||||
if not dataset:
|
||||
return
|
||||
|
||||
index_type = document.doc_form
|
||||
index_processor = IndexProcessorFactory(index_type).init_index_processor()
|
||||
|
||||
segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
|
||||
if segments:
|
||||
index_node_ids = [segment.index_node_id for segment in segments]
|
||||
|
||||
# delete from vector index
|
||||
index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
|
||||
segment_ids = [segment.id for segment in segments]
|
||||
segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.id.in_(segment_ids))
|
||||
session.execute(segment_delete_stmt)
|
||||
index_type = document.doc_form
|
||||
segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
|
||||
index_node_ids = [segment.index_node_id for segment in segments]
|
||||
|
||||
clean_success = False
|
||||
try:
|
||||
index_processor = IndexProcessorFactory(index_type).init_index_processor()
|
||||
if index_node_ids:
|
||||
index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
|
||||
end_at = time.perf_counter()
|
||||
logger.info(
|
||||
click.style(
|
||||
|
|
@ -64,15 +58,21 @@ def document_indexing_update_task(dataset_id: str, document_id: str):
|
|||
fg="green",
|
||||
)
|
||||
)
|
||||
except Exception:
|
||||
logger.exception("Cleaned document when document update data source or process rule failed")
|
||||
clean_success = True
|
||||
except Exception:
|
||||
logger.exception("Failed to clean document index during update, document_id: %s", document_id)
|
||||
|
||||
try:
|
||||
indexing_runner = IndexingRunner()
|
||||
indexing_runner.run([document])
|
||||
end_at = time.perf_counter()
|
||||
logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
|
||||
except DocumentIsPausedError as ex:
|
||||
logger.info(click.style(str(ex), fg="yellow"))
|
||||
except Exception:
|
||||
logger.exception("document_indexing_update_task failed, document_id: %s", document_id)
|
||||
if clean_success:
|
||||
with session_factory.create_session() as session, session.begin():
|
||||
segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.document_id == document_id)
|
||||
session.execute(segment_delete_stmt)
|
||||
|
||||
try:
|
||||
indexing_runner = IndexingRunner()
|
||||
indexing_runner.run([document])
|
||||
end_at = time.perf_counter()
|
||||
logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
|
||||
except DocumentIsPausedError as ex:
|
||||
logger.info(click.style(str(ex), fg="yellow"))
|
||||
except Exception:
|
||||
logger.exception("document_indexing_update_task failed, document_id: %s", document_id)
|
||||
|
|
|
|||
11
api/uv.lock
11
api/uv.lock
|
|
@ -1653,7 +1653,7 @@ requires-dist = [
|
|||
{ name = "starlette", specifier = "==0.49.1" },
|
||||
{ name = "tiktoken", specifier = "~=0.9.0" },
|
||||
{ name = "transformers", specifier = "~=4.56.1" },
|
||||
{ name = "unstructured", extras = ["docx", "epub", "md", "ppt", "pptx"], specifier = "~=0.16.1" },
|
||||
{ name = "unstructured", extras = ["docx", "epub", "md", "ppt", "pptx"], specifier = "~=0.18.18" },
|
||||
{ name = "weave", specifier = ">=0.52.16" },
|
||||
{ name = "weaviate-client", specifier = "==4.17.0" },
|
||||
{ name = "webvtt-py", specifier = "~=0.5.1" },
|
||||
|
|
@ -6814,12 +6814,12 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "unstructured"
|
||||
version = "0.16.25"
|
||||
version = "0.18.31"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "backoff" },
|
||||
{ name = "beautifulsoup4" },
|
||||
{ name = "chardet" },
|
||||
{ name = "charset-normalizer" },
|
||||
{ name = "dataclasses-json" },
|
||||
{ name = "emoji" },
|
||||
{ name = "filetype" },
|
||||
|
|
@ -6827,6 +6827,7 @@ dependencies = [
|
|||
{ name = "langdetect" },
|
||||
{ name = "lxml" },
|
||||
{ name = "nltk" },
|
||||
{ name = "numba" },
|
||||
{ name = "numpy" },
|
||||
{ name = "psutil" },
|
||||
{ name = "python-iso639" },
|
||||
|
|
@ -6839,9 +6840,9 @@ dependencies = [
|
|||
{ name = "unstructured-client" },
|
||||
{ name = "wrapt" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/64/31/98c4c78e305d1294888adf87fd5ee30577a4c393951341ca32b43f167f1e/unstructured-0.16.25.tar.gz", hash = "sha256:73b9b0f51dbb687af572ecdb849a6811710b9cac797ddeab8ee80fa07d8aa5e6", size = 1683097, upload-time = "2025-03-07T11:19:39.507Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a9/5f/64285bd69a538bc28753f1423fcaa9d64cd79a9e7c097171b1f0d27e9cdb/unstructured-0.18.31.tar.gz", hash = "sha256:af4bbe32d1894ae6e755f0da6fc0dd307a1d0adeebe0e7cc6278f6cf744339ca", size = 1707700, upload-time = "2026-01-27T15:33:05.378Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/12/4f/ad08585b5c8a33c82ea119494c4d3023f4796958c56e668b15cc282ec0a0/unstructured-0.16.25-py3-none-any.whl", hash = "sha256:14719ccef2830216cf1c5bf654f75e2bf07b17ca5dcee9da5ac74618130fd337", size = 1769286, upload-time = "2025-03-07T11:19:37.299Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/4a/9c43f39d9e443c9bc3f2e379b305bca27110adc653b071221b3132c18de5/unstructured-0.18.31-py3-none-any.whl", hash = "sha256:fab4641176cb9b192ed38048758aa0d9843121d03626d18f42275afb31e5b2d3", size = 1794889, upload-time = "2026-01-27T15:33:03.136Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
|
|
|
|||
Loading…
Reference in New Issue