Currency_Bot/responses.py at main · jol79/Currency_Bot · GitHub

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import requests
import pprint
import datetime
import os

from matplotlib import pyplot as plt


"""
To get the list of the latest foreign exchange rates
GET /latest
To
GET /latest?symbols=USD,GBP
"""
base_url = 'https://api.exchangeratesapi.io/'
end_path_latest = 'latest'

currency_base = ['CAD', 'HKD', 'ISK', 'PHP', 'DKK', 'HUF', 'CZK', 'AUD', 'RON', 'SEK', 'IDR', 'INR', 'BRL', 'RUB', 'HRK', 'JPY', 'THB', 'CHF', 'SGD', 'PLN', 'BGN', 'TRY', 'CNY', 'NOK', 'NZD', 'ZAR', 'USD', 'MXN', 'ILS', 'GBP', 'KRW', 'MYR', 'CAD', 'HKD', 'ISK', 'PHP', 'DKK', 'HUF', 'CZK', 'AUD', 'RON', 'SEK', 'IDR', 'INR', 'BRL', 'RUB', 'HRK', 'JPY', 'THB', 'CHF', 'SGD', 'PLN', 'BGN', 'TRY', 'CNY', 'NOK', 'NZD', 'ZAR', 'USD', 'MXN', 'ILS', 'GBP', 'KRW', 'MYR']


def default_response(user_input):
    message = str(user_input).lower()

    return "Choose options from the list of available commands:\n    /list\n    /exchange\n    /history"


def list_response():
    end_point = f'{base_url}{end_path_latest}'
    result = requests.get(end_point)

    result_dict = {}

    data = result.json()
    data['rates']

    for key, value in data['rates'].items():
        result_dict[key] = data['rates'][key]

    return(result_dict)


# get previously saved data (the last request from user <= 10 mins, data is up to date)
def list_response_database()
    pass


# a result of exchange
def exchange_response(currency, amount):
    end_point = f'{base_url}{end_path_latest}'

    given_currency = currency
    end_path_exchange = f'latest?symbols={given_currency}&base=USD'

    end_point = f'{base_url}{end_path_exchange}'

    result = requests.get(end_point)

    _currency = []
    exchange_rate = []

    data = result.json()
    data['rates']

    for key, value in data['rates'].items():
        exchange_rate.append(data['rates'][key])
        _currency.append(key)

    rate = exchange_rate[0]

    return int(amount) * rate


def history_response(currency):
    _base = 'USD'
    _currency = currency
    date_until = datetime.datetime.now().strftime('%Y-%m-%d')
    date_start = datetime.timedelta(days=7)
    date_from = (datetime.datetime.now() - date_start).strftime('%Y-%m-%d')

    history_period = f'{base_url}history?start_at={date_from}&end_at={date_until}&symbols={_currency}&base={_base}'

    history_result = requests.get(history_period)

    """
    keys - date
    values - exchange rate
    """
    date = []
    _exchange_rate = []
    _result = history_result.json()

    for key, value in _result['rates'].items():
        _exchange_rate.append(_result['rates'][key])
        date.append(key)

    _exchange_rate_keys = []
    _exchange_rate_value = []

    for data in _exchange_rate:
        for key, value in data.items():
            _exchange_rate_keys.append(key)
            _exchange_rate_value.append(value)

    exchange_rate_result = zip(date, _exchange_rate_value)

    """ Building graph with Matplotlib """
    fig = plt.figure()

    plt.plot(date, _exchange_rate_value, '-ob')
    plt.title(f"{_currency}/{_base} trend in time range {date_from} to {date_until}")
    plt.legend([f'{_currency}'])

    plot_name = f"temporary_images/{_currency} {_base} trend in time range {date_from} to {date_until}.png"

    fig.savefig(plot_name)
    return plot_name