import numpy as np
import pandas as pd


def get_profit_report(input_data):
    data = pd.DataFrame.copy(input_data)
    report = {
        'full_data': None,
        'risky_months': 0,
        'finding': ''
    }
    profitable_months = []
    unprofitable_months = []

    data['balance'] = np.nan
    data['comment'] = np.nan
    data['balance'] = data['sales'] * data['car_price'] - data['costs']
    data.loc[data['balance'] > 50000, 'comment'] = 'Outstanding'
    data.loc[data['balance'] < -100000, 'comment'] = 'Risk'
    report['full_data'] = data



    if len(data[data['balance']>0]) < len(data[~(data['balance']>0)]):

        report['risky_months'] = len(data[data['comment'] == 'Risk'])

        if report['risky_months'] > len(data) / 2:
            report['finding'] = 'Car price needs adjustment'

    return report