Currency Rate

import urllib.request
import json
from datetime import datetime

url_string = "http://api.nbp.pl/api/exchangerates/rates/a/gbp/2022-01-01/2023-01-01/?format=json"

def format_date(date: str):
    day = date[4:6]

    if day[0] == '0':
        date = date.replace(day, day[1:], 1)
        day = day[1]

    match day:
        case "1" | "21" | "31":
            date = date.replace(day, day + 'st', 1)
        case "2" | "22":
            date = date.replace(day, day + 'nd', 1)
        case "3" | "23":
            date = date.replace(day, day + 'rd', 1)
        case _:
            date = date.replace(day, day + 'th', 1)

    return date


with urllib.request.urlopen(url_string) as url:
    data = json.load(url)
    print("Currency: ", data['currency'])

    daily_rates = []
    for row in data['rates']:
        day = {'date': row['effectiveDate'],
               'rate': row['mid']}

        daily_rates.append(day)

    peak = max(daily_rates, key=lambda item: item['rate'])
    depression = min(daily_rates, key=lambda item: item['rate'])

    peak_date = datetime.strptime(peak['date'], "%Y-%m-%d").date().strftime("%a %d %b %Y")
    depression_date = datetime.strptime(depression['date'], "%Y-%m-%d").date().strftime("%a %d %b %Y")

    print(f"Max: {peak['rate']} on:", format_date(peak_date))
    print(f"Max: {depression['rate']} on:", format_date(depression_date))