model.py

import random
from datetime import datetime

def score_opportunity(data):
    # Simple scoring logic (replace with ML model in real app)
    score = (
        data["lead_score"] * 0.5 +
        data["emails_last_7_days"] * 3 +
        data["meetings_last_30_days"] * 5
    )

    # Reduce score for long closing gap
    today = datetime.today()
    try:
        close_date = datetime.strptime(data["close_date"], "%Y-%m-%d")
        days_to_close = (close_date - today).days
    except:
        days_to_close = 30

    if days_to_close > 30:
        score -= 10
    elif days_to_close < 5:
        score += 5

    score = max(0, min(100, round(score)))
    confidence = round(random.uniform(0.7, 0.95) if score >= 60 else random.uniform(0.4, 0.7), 2)

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