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fix(api): refactors the SQL LIKE pattern escaping logic to use a centralized utility function, ensuring consistent and secure handling of special characters across all database queries. (#30450)

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Signed-off-by: NeatGuyCoding <15627489+NeatGuyCoding@users.noreply.github.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
NeatGuyCoding
2026-01-06 09:56:30 +08:00
committed by GitHub
parent de6262784c
commit 615c313f80
18 changed files with 648 additions and 36 deletions
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8
api/core/rag/datasource/vdb/iris/iris_vector.py
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@ -287,11 +287,15 @@ class IrisVector(BaseVector):
cursor.execute(sql, (query,))
else:
# Fallback to LIKE search (inefficient for large datasets)
query_pattern = f"%{query}%"
# Escape special characters for LIKE clause to prevent SQL injection
from libs.helper import escape_like_pattern
escaped_query = escape_like_pattern(query)
query_pattern = f"%{escaped_query}%"
sql = f"""
SELECT TOP {top_k} id, text, meta
FROM {self.schema}.{self.table_name}
WHERE text LIKE ?
WHERE text LIKE ? ESCAPE '\\'
"""
cursor.execute(sql, (query_pattern,))