refactor

apps/cluster_map/test_debug.py

@@ -0,0 +1,43 @@
+#!/usr/bin/env python3
+"""
+Test script to debug the hanging issue in the modular app
+"""
+
+import numpy as np
+import sys
+import os
+
+# Add the current directory to Python path
+sys.path.append(os.path.dirname(os.path.abspath(__file__)))
+
+def test_dimensionality_reduction():
+    """Test dimensionality reduction functions"""
+    print("Testing dimensionality reduction functions...")
+    
+    from dimensionality_reduction import reduce_dimensions
+    
+    # Create test data similar to what we'd expect
+    n_samples = 796  # Same as the user's dataset
+    n_features = 384  # Common embedding dimension
+    
+    print(f"Creating test embeddings: {n_samples} x {n_features}")
+    test_embeddings = np.random.randn(n_samples, n_features)
+    
+    # Test PCA (should be fast)
+    print("Testing PCA...")
+    try:
+        result = reduce_dimensions(test_embeddings, method="PCA")
+        print(f"✓ PCA successful, output shape: {result.shape}")
+    except Exception as e:
+        print(f"✗ PCA failed: {e}")
+    
+    # Test UMAP (might be slower)
+    print("Testing UMAP...")
+    try:
+        result = reduce_dimensions(test_embeddings, method="UMAP")
+        print(f"✓ UMAP successful, output shape: {result.shape}")
+    except Exception as e:
+        print(f"✗ UMAP failed: {e}")
+
+if __name__ == "__main__":
+    test_dimensionality_reduction()