feat: Advanced Application support to use SQL Examples

backend/apps/data_training/curd/data_training.py

@@ -266,9 +266,9 @@ ORDER BY similarity DESC
 LIMIT {settings.EMBEDDING_DATA_TRAINING_TOP_COUNT}
 """
 embedding_sql_in_advanced_application = f"""
-SELECT id, datasource, question, similarity
+SELECT id, advanced_application, question, similarity
 FROM
-(SELECT id, datasource, question, oid, enabled,
+(SELECT id, advanced_application, question, oid, enabled,
 ( 1 - (embedding <=> :embedding_array) ) AS similarity
 FROM data_training AS child
 ) TEMP
@@ -340,8 +340,7 @@ def select_training_by_question(session: SessionDep, question: str, oid: int, da
     if len(_ids) == 0:
         return []
 
-    t_list = session.query(DataTraining.id, DataTraining.datasource, DataTraining.question,
-                           DataTraining.description).filter(
+    t_list = session.query(DataTraining.id, DataTraining.question, DataTraining.description).filter(
         and_(DataTraining.id.in_(_ids))).all()
 
     for row in t_list:

backend/pyproject.toml

@@ -39,7 +39,7 @@ dependencies = [
     "pyyaml (>=6.0.2,<7.0.0)",
     "fastapi-mcp (>=0.3.4,<0.4.0)",
     "tabulate>=0.9.0",
-    "sqlbot-xpack>=0.0.3.43,<1.0.0",
+    "sqlbot-xpack>=0.0.3.44,<1.0.0",
     "fastapi-cache2>=0.2.2",
     "sqlparse>=0.5.3",
     "redis>=6.2.0",