scorer.py

import random

def get_lead_score(stage, emails, meetings, close_gap, amount):
    score_ranges = {
        "Prospecting": (20, 40),
        "Proposal/Price Quote": (50, 70),
        "Negotiation": (70, 90),
        "Closed Won": (90, 100),
        "Closed Lost": (10, 30)
    }
    base = random.randint(*score_ranges.get(stage, (30, 60)))
    bonus = 0
    if close_gap < 10: bonus += 5
    if emails + meetings > 4: bonus += 3
    if amount > 100000: bonus += 5
    return min(100, base + bonus)

def calculate_score(lead_score, emails, meetings, close_gap, amount):
    engagement_weight = (emails * 2 + meetings * 3)
    urgency = max(0, 10 - int(close_gap / 5))
    size_factor = 5 if amount > 75000 else 0
    deduction = random.randint(5, 15)
    return min(100, lead_score + engagement_weight + urgency + size_factor - deduction)

def calculate_confidence(score):
    return round(min(0.95, 0.6 + score / 200), 2)

def calculate_risk(score, confidence, emails, meetings):
    if score > 85 and confidence > 0.9:
        return "Low"
    if score < 55 or (emails + meetings) <= 2:
        return "Critical"
    return "Medium"