#!/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()