chore: skip unnecessary key checks prior to accessing a dictionary (#4497)

This commit is contained in:
Bowen Liang
2024-05-19 18:30:45 +08:00
committed by GitHub
parent aa13d14019
commit 04ad46dd31
30 changed files with 45 additions and 44 deletions

View File

@@ -569,7 +569,7 @@ class DocumentService:
documents = []
batch = time.strftime('%Y%m%d%H%M%S') + str(random.randint(100000, 999999))
if 'original_document_id' in document_data and document_data["original_document_id"]:
if document_data.get("original_document_id"):
document = DocumentService.update_document_with_dataset_id(dataset, document_data, account)
documents.append(document)
else:
@@ -750,10 +750,10 @@ class DocumentService:
if document.display_status != 'available':
raise ValueError("Document is not available")
# update document name
if 'name' in document_data and document_data['name']:
if document_data.get('name'):
document.name = document_data['name']
# save process rule
if 'process_rule' in document_data and document_data['process_rule']:
if document_data.get('process_rule'):
process_rule = document_data["process_rule"]
if process_rule["mode"] == "custom":
dataset_process_rule = DatasetProcessRule(
@@ -773,7 +773,7 @@ class DocumentService:
db.session.commit()
document.dataset_process_rule_id = dataset_process_rule.id
# update document data source
if 'data_source' in document_data and document_data['data_source']:
if document_data.get('data_source'):
file_name = ''
data_source_info = {}
if document_data["data_source"]["type"] == "upload_file":
@@ -871,7 +871,7 @@ class DocumentService:
embedding_model.model
)
dataset_collection_binding_id = dataset_collection_binding.id
if 'retrieval_model' in document_data and document_data['retrieval_model']:
if document_data.get('retrieval_model'):
retrieval_model = document_data['retrieval_model']
else:
default_retrieval_model = {
@@ -921,9 +921,9 @@ class DocumentService:
and ('process_rule' not in args and not args['process_rule']):
raise ValueError("Data source or Process rule is required")
else:
if 'data_source' in args and args['data_source']:
if args.get('data_source'):
DocumentService.data_source_args_validate(args)
if 'process_rule' in args and args['process_rule']:
if args.get('process_rule'):
DocumentService.process_rule_args_validate(args)
@classmethod
@@ -1266,7 +1266,7 @@ class SegmentService:
if segment.content == content:
if document.doc_form == 'qa_model':
segment.answer = args['answer']
if 'keywords' in args and args['keywords']:
if args.get('keywords'):
segment.keywords = args['keywords']
segment.enabled = True
segment.disabled_at = None