Add Redis source code for testing

1 files changed, 35 insertions, 0 deletions

diff --git a/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py b/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py
new file mode 100644
index 0000000..11c3c9b
--- /dev/null
+++ b/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py
@@ -0,0 +1,35 @@
+from test import TestCase
+
+class BasicSimilarity(TestCase):
+    def getname(self):
+        return "VSIM reported distance makes sense with 4D vectors"
+
+    def test(self):
+        # Add two very similar vectors, one different
+        vec1 = [1, 0, 0, 0]
+        vec2 = [0.99, 0.01, 0, 0]
+        vec3 = [0.1, 1, -1, 0.5]
+
+        # Add vectors using VALUES format
+        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
+                                 *[str(x) for x in vec1], f'{self.test_key}:item:1')
+        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
+                                 *[str(x) for x in vec2], f'{self.test_key}:item:2')
+        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
+                                 *[str(x) for x in vec3], f'{self.test_key}:item:3')
+
+        # Query similarity with vec1
+        result = self.redis.execute_command('VSIM', self.test_key, 'VALUES', 4, 
+                                          *[str(x) for x in vec1], 'WITHSCORES')
+
+        # Convert results to dictionary
+        results_dict = {}
+        for i in range(0, len(result), 2):
+            key = result[i].decode()
+            score = float(result[i+1])
+            results_dict[key] = score
+
+        # Verify results
+        assert results_dict[f'{self.test_key}:item:1'] > 0.99, "Self-similarity should be very high"
+        assert results_dict[f'{self.test_key}:item:2'] > 0.99, "Similar vector should have high similarity"
+        assert results_dict[f'{self.test_key}:item:3'] < 0.8, "Not very similar vector should have low similarity"