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refactor: adjust paragraph position indexing to start from 1

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CaptainB 2025-06-27 19:00:47 +08:00
parent 4b4691d689
commit 327b6cc563
1 changed files with 7 additions and 7 deletions
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14
apps/knowledge/serializers/paragraph.py
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@ -259,14 +259,14 @@ class ParagraphSerializers(serializers.Serializer):
ProblemParagraphManage(problem_paragraph_object_list, knowledge_id) ProblemParagraphManage(problem_paragraph_object_list, knowledge_id)
.to_problem_model_list()) .to_problem_model_list())
# 新加的在最上面 # 新加的在最上面
paragraph.position = 0 paragraph.position = 1
paragraph.save() paragraph.save()
# 调整位置 # 调整位置
if 'position' in instance: if 'position' in instance:
if type(instance['position']) is not int: if type(instance['position']) is not int:
instance['position'] = 0 instance['position'] = 1
else: else:
instance['position'] = 0 instance['position'] = 1
ParagraphSerializers.AdjustPosition(data={ ParagraphSerializers.AdjustPosition(data={
'paragraph_id': str(paragraph.id), 'paragraph_id': str(paragraph.id),
@ -498,9 +498,9 @@ class ParagraphSerializers(serializers.Serializer):
paragraph_list = Paragraph.objects.filter( paragraph_list = Paragraph.objects.filter(
id__in=paragraph_id_list, document_id=target_document_id id__in=paragraph_id_list, document_id=target_document_id
) )
# 将迁移的段落位置设置为从0开始的序号 # 将迁移的段落位置设置为从1开始的序号
for i, paragraph in enumerate(paragraph_list): for i, paragraph in enumerate(paragraph_list):
paragraph.position = i paragraph.position = i + 1
paragraph.save() paragraph.save()
# 不同数据集迁移 # 不同数据集迁移
else: else:
@ -544,9 +544,9 @@ class ParagraphSerializers(serializers.Serializer):
paragraph_list = Paragraph.objects.filter( paragraph_list = Paragraph.objects.filter(
id__in=pid_list, document_id=target_document_id id__in=pid_list, document_id=target_document_id
) )
# 将迁移的段落位置设置为从0开始的序号 # 将迁移的段落位置设置为从1开始的序号
for i, paragraph in enumerate(paragraph_list): for i, paragraph in enumerate(paragraph_list):
paragraph.position = i paragraph.position = i + 1
paragraph.save() paragraph.save()
# 修改向量段落信息 # 修改向量段落信息
update_embedding_document_id(pid_list, target_document_id, target_knowledge_id, embedding_model_id) update_embedding_document_id(pid_list, target_document_id, target_knowledge_id, embedding_model_id)