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[fix]build knowledge graph

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This commit is contained in:
lixiangcheng1
2025-12-27 17:17:29 +08:00
parent cd12844a7c
commit b4596eb47b
1 changed files with 3 additions and 3 deletions
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6
api/app/tasks.py
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@@ -280,10 +280,10 @@ def build_graphrag_for_kb(kb_id: uuid.UUID):
build knowledge graph
"""
db = next(get_db()) # Manually call the generator
db_document = None
db_documents = None
db_knowledge = None
try:
db_document = db.query(Document).filter(Document.kb_id == kb_id).all()
db_documents = db.query(Document).filter(Document.kb_id == kb_id).all()
db_knowledge = db.query(Knowledge).filter(Knowledge.id == kb_id).first()
# 1. Prepare to configure chat_mdl、embedding_model、vision_model information
chat_model = Base(
@@ -306,7 +306,7 @@ def build_graphrag_for_kb(kb_id: uuid.UUID):
# 2. get all document_ids from knowledge base
vector_service = ElasticSearchVectorFactory().init_vector(knowledge=db_knowledge)
total, items = vector_service.search_by_segment(document_id=None, query=None, pagesize=9999, page=1, asc=True)
document_ids = [item.id for item in db_document]
document_ids = [item.id for item in db_documents]
# 2. using graphrag
if db_knowledge.parser_config.get("graphrag", {}).get("use_graphrag", False):