import random
from utilities import prepare_text_input, generate_recommendation

# Mock objects (None used in mock version)
def load_model():
    return None, None, None

def predict(data, model, tokenizer, summarizer):
    text_input = prepare_text_input(data)

    # Simulated scoring logic
    score = random.randint(45, 95)
    confidence = round(random.uniform(0.6, 0.95), 2)
    risk = (
        "Low" if score > 75 else
        "Medium" if score >= 55 else
        "High"
    )

    recommendation = generate_recommendation(data)

    return {
        "score": score,
        "confidence": confidence,
        "risk": risk,
        "recommendation": recommendation
    }