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Add dataset with table parser type for Infinity and answer question in chat using SQL (#12541)

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### What problem does this PR solve?

1) Create  dataset using table parser for infinity
2) Answer questions in chat using SQL

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
qinling0210
2026-01-19 19:35:14 +08:00
committed by GitHub
parent 05da2a5872
commit b40d639fdb
19 changed files with 1003 additions and 101 deletions
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11
api/apps/kb_app.py
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@ -295,12 +295,19 @@ async def rm():
File.name == kbs[0].name,
]
)
# Delete the table BEFORE deleting the database record
for kb in kbs:
try:
settings.docStoreConn.delete({"kb_id": kb.id}, search.index_name(kb.tenant_id), kb.id)
settings.docStoreConn.delete_idx(search.index_name(kb.tenant_id), kb.id)
logging.info(f"Dropped index for dataset {kb.id}")
except Exception as e:
logging.error(f"Failed to drop index for dataset {kb.id}: {e}")
if not KnowledgebaseService.delete_by_id(req["kb_id"]):
return get_data_error_result(
message="Database error (Knowledgebase removal)!")
for kb in kbs:
settings.docStoreConn.delete({"kb_id": kb.id}, search.index_name(kb.tenant_id), kb.id)
settings.docStoreConn.delete_idx(search.index_name(kb.tenant_id), kb.id)
if hasattr(settings.STORAGE_IMPL, 'remove_bucket'):
settings.STORAGE_IMPL.remove_bucket(kb.id)
return get_json_result(data=True)