tests/test_integration.py

"""
Integration test for TinyConfessionalLayer with Windsurf Cascade.
"""

import torch
import torch.nn as nn
from components.tiny_confessional_layer import TinyConfessionalLayer

def test_integration():
    print("Testing TinyConfessionalLayer with Windsurf Cascade...")
    
    # Create a test instance
    model = TinyConfessionalLayer(
        d_model=64,
        enable_windsurf=True,
        max_opt_rate=0.1,
        reflection_pause_prob=0.1
    )
    
    # Create test input
    batch_size = 2
    seq_len = 10
    x = torch.randn(batch_size, seq_len, 64)
    
    # Run forward pass
    print("Running forward pass...")
    output, metadata = model(x, audit_mode=True)
    
    # Check output shapes
    assert output.shape == (batch_size, seq_len, 64), "Output shape mismatch"
    
    # Check metadata
    assert 'windsurf_phase' in metadata, "Missing windsurf_phase in metadata"
    assert 'reflection_count' in metadata, "Missing reflection_count in metadata"
    
    print("\nTest passed!")
    print("Output shape:", output.shape)
    print("Phase:", metadata.get('windsurf_phase', 'N/A'))
    print("Reflection count:", metadata.get('reflection_count', 0))

if __name__ == "__main__":
    test_integration()