From 4fc58e062a58421a2d75aa75e1dfa595ccab1500 Mon Sep 17 00:00:00 2001
From: LJ <linghua@cocoindex.io>
Date: Thu, 24 Apr 2025 18:24:42 -0700
Subject: [PATCH] fix: variable name typo

---
 python/cocoindex/query.py | 4 ++--
 src/execution/query.rs    | 4 ++--
 src/py/mod.rs             | 6 +++---
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/python/cocoindex/query.py b/python/cocoindex/query.py
index cf9f57fbc..befd643e4 100644
--- a/python/cocoindex/query.py
+++ b/python/cocoindex/query.py
@@ -66,13 +66,13 @@ def internal_handler(self) -> _engine.SimpleSemanticsQueryHandler:
         return self._lazy_query_handler()
 
     def search(self, query: str, limit: int, vector_field_name: str | None = None,
-               similarity_matric: index.VectorSimilarityMetric | None = None) -> tuple[list[QueryResult], SimpleSemanticsQueryInfo]:
+               similarity_metric: index.VectorSimilarityMetric | None = None) -> tuple[list[QueryResult], SimpleSemanticsQueryInfo]:
         """
         Search the index with the given query, limit, vector field name, and similarity metric.
         """
         internal_results, internal_info = self.internal_handler().search(
             query, limit, vector_field_name,
-            similarity_matric.value if similarity_matric is not None else None)
+            similarity_metric.value if similarity_metric is not None else None)
         fields = [field['name'] for field in internal_results['fields']]
         results = [QueryResult(data=dict(zip(fields, result['data'])),  score=result['score']) for result in internal_results['results']]
         info = SimpleSemanticsQueryInfo(
diff --git a/src/execution/query.rs b/src/execution/query.rs
index d06ca2d74..0f8ebe5db 100644
--- a/src/execution/query.rs
+++ b/src/execution/query.rs
@@ -68,7 +68,7 @@ impl SimpleSemanticsQueryHandler {
         query: String,
         limit: u32,
         vector_field_name: Option<String>,
-        similarity_matric: Option<VectorSimilarityMetric>,
+        similarity_metric: Option<VectorSimilarityMetric>,
     ) -> Result<(QueryResults, SimpleSemanticsQueryInfo)> {
         let query_results = evaluate_transient_flow(
             &self.query_transform_flow,
@@ -106,7 +106,7 @@ impl SimpleSemanticsQueryHandler {
             .or(self.default_vector_field_name.clone())
             .ok_or_else(|| api_error!("vector field name must be provided"))?;
 
-        let similarity_metric = similarity_matric.unwrap_or(self.default_similarity_metric);
+        let similarity_metric = similarity_metric.unwrap_or(self.default_similarity_metric);
         let info = SimpleSemanticsQueryInfo {
             similarity_metric,
             query_vector: vector.clone(),
diff --git a/src/py/mod.rs b/src/py/mod.rs
index e42fb9992..21400d4d8 100644
--- a/src/py/mod.rs
+++ b/src/py/mod.rs
@@ -255,14 +255,14 @@ impl SimpleSemanticsQueryHandler {
         Ok(())
     }
 
-    #[pyo3(signature = (query, limit, vector_field_name = None, similarity_matric = None))]
+    #[pyo3(signature = (query, limit, vector_field_name = None, similarity_metric = None))]
     pub fn search(
         &self,
         py: Python<'_>,
         query: String,
         limit: u32,
         vector_field_name: Option<String>,
-        similarity_matric: Option<Pythonized<VectorSimilarityMetric>>,
+        similarity_metric: Option<Pythonized<VectorSimilarityMetric>>,
     ) -> PyResult<(
         Pythonized<QueryResults>,
         Pythonized<query::SimpleSemanticsQueryInfo>,
@@ -275,7 +275,7 @@ impl SimpleSemanticsQueryHandler {
                             query,
                             limit,
                             vector_field_name,
-                            similarity_matric.map(|m| m.0),
+                            similarity_metric.map(|m| m.0),
                         )
                         .await
                 })