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feat: implement Summary Index feature.

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FFXN
2026-01-12 16:52:21 +08:00
parent f4a7efde3d
commit 25bfc1cc3b
36 changed files with 2290 additions and 32 deletions
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10
api/core/indexing_runner.py
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@ -311,14 +311,18 @@ class IndexingRunner:
qa_preview_texts: list[QAPreviewDetail] = []
total_segments = 0
# doc_form represents the segmentation method (general, parent-child, QA)
index_type = doc_form
index_processor = IndexProcessorFactory(index_type).init_index_processor()
# one extract_setting is one source document
for extract_setting in extract_settings:
# extract
processing_rule = DatasetProcessRule(
mode=tmp_processing_rule["mode"], rules=json.dumps(tmp_processing_rule["rules"])
)
# Extract document content
text_docs = index_processor.extract(extract_setting, process_rule_mode=tmp_processing_rule["mode"])
# Cleaning and segmentation
documents = index_processor.transform(
text_docs,
current_user=None,
@ -361,6 +365,12 @@ class IndexingRunner:
if doc_form and doc_form == "qa_model":
return IndexingEstimate(total_segments=total_segments * 20, qa_preview=qa_preview_texts, preview=[])
# Generate summary preview
summary_index_setting = tmp_processing_rule["summary_index_setting"] if "summary_index_setting" in tmp_processing_rule else None
if summary_index_setting and summary_index_setting.get('enable') and preview_texts:
preview_texts = index_processor.generate_summary_preview(tenant_id, preview_texts, summary_index_setting)
return IndexingEstimate(total_segments=total_segments, preview=preview_texts)
def _extract(