debug_causal.py

import pandas as pd
import numpy as np
import pickle
import os
import sys

# Add path to find models
sys.path.append(os.getcwd())

from models.causal_discovery import get_causal_model

# Mock Data
df = pd.DataFrame(np.random.randn(100, 5), columns=['open', 'high', 'low', 'close', 'volume'])
clean_df = df

print("Init Causal...")
model = get_causal_model()

print("Fit Causal...")
model.fit(clean_df)

print("Pickle Causal...")
with open("causal_debug.pkl", "wb") as f:
    pickle.dump(model, f)

print("✅ Success")