كريم مصطفى

مقاييس اشتراك معتمدة وفق معايير GAAP لمنصة أدوات المطورين.

import pandas as pd
import numpy as np

def calculate_pql_score(df: pd.DataFrame) -> pd.DataFrame:
    """
    Computes Product Qualified Lead (PQL) score based on viral coefficient,
    feature depth, and team expansion velocity.
    """
    # 1. Activation Velocity Weighting
    activation_score = np.where(df['days_to_activation'] <= 2, 40, 15)
    
    # 2. Team Virality & Collaborator Invites
    viral_factor = np.clip(df['team_invites_sent'] * 12, 0, 35)
    
    # 3. Core Value Metric Usage Depth
    depth_score = np.clip((df['api_calls_7d'] / df['plan_limit']) * 25, 0, 25)
    
    df['pql_score'] = activation_score + viral_factor + depth_score
    df['enterprise_trigger'] = df['pql_score'] >= 80
    return df.sort_values(by='pql_score', ascending=False)