import sys
from pathlib import Path
import torch

# Setup paths
ROOT = Path(__file__).resolve().parents[1]
specbridge_root = ROOT.parent / "SpecBridge"
dreams_root = specbridge_root / "DreaMS"

print(f"Adding to sys.path: {specbridge_root}")
if specbridge_root.exists() and str(specbridge_root) not in sys.path:
    sys.path.insert(0, str(specbridge_root))
if dreams_root.exists() and str(dreams_root) not in sys.path:
    sys.path.insert(0, str(dreams_root))

dreams_ckpt = "/cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt"

print(f"Attempting to load DreaMS from: {dreams_ckpt}")

try:
    from specbridge.adapters.dreams_adapter import load_dreams_encoder
    print("Import successful.")
    
    model = load_dreams_encoder(dreams_ckpt, d_in=2048, d_out=1024)
    print(f"Success! Model loaded: {type(model)}")
    
    # Test forward pass
    dummy_peaks = torch.zeros(1, 60, 2)
    # Check if forward needs meta or just x
    try:
        out = model(dummy_peaks, {})
        print(f"Forward pass success. Output shape: {out.shape}")
    except Exception as e:
        print(f"Forward pass failed: {e}")

except Exception as e:
    print(f"FATAL ERROR loading DreaMS: {e}")
    import traceback
    traceback.print_exc()