#!/usr/bin/python3

# OPTIMALITY PREDICTOR
# Prerequisites: ask your line manager about optimal stock parameters
def get_optimal_stock_parameters(ask_min, ask_max, *ask_other_questions):
    min_daily_rate = ask_min
    max_daily_rate = ask_max
    avg_daily_rate = (ask_min + ask_max)/2
    other_optimal_parameters = ask_other_questions
    res = {}
    res['Min Daily Rate'] = min_daily_rate
    res['Max Daily Rate'] = max_daily_rate
    res['Average Daily Rate'] = avg_daily_rate
    res['Other Optimal Stock Market Parameters'] = other_optimal_parameters    
    return res

# TEST PREDICTOR FUNCTION:
ask_min = 100
ask_max = 110
volatility='High'
market_activity_level = 'High'

test = get_optimal_stock_parameters(ask_min, ask_max, volatility, market_activity_level)
print("Optimal parameters: ")
print("  Min Daily Rate: {:.2f}".format(test['Min Daily Rate']))
print("  Average Daily Rate: {:.2f}".format(test['Average Daily Rate']))
print("  Max Daily Rate: {:.2f}".format(test['Max Daily Rate']))
print("  Other important parameters: {}".format(test['Other Optimal Stock Market Parameters']))