mgm-hurry

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# -* vim: syntax=python -*-
# pylint: disable=W0108

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# | | | | | || (_| || | | | | |        | | | || |_| || |   | |   | |_| |
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#
# --- ↑↓ Do not remove these libs ↑↓ -----------------------------------------------------------------------------------

"""mgm-hurry is a CLI Tool for setting up and managing Freqtrade in combination with MoniGoMani"""

import glob
import json
import logging
import os
import sys
from datetime import datetime
from string import Template

import fire
import numpy as np  # noqa
import pandas as pd  # noqa
import quantstats as qs
from art import tprint
from InquirerPy import prompt
from InquirerPy.validator import NumberValidator

from user_data.mgm_tools.mgm_hurry.CliColor import Color
from user_data.mgm_tools.mgm_hurry.FreqtradeCli import FreqtradeCli
from user_data.mgm_tools.mgm_hurry.MoniGoManiCli import MoniGoManiCli
from user_data.mgm_tools.mgm_hurry.MoniGoManiConfig import MoniGoManiConfig
from user_data.mgm_tools.mgm_hurry.MoniGoManiLogger import MoniGoManiLogger

# ---- ↑ Do not remove these libs ↑ ------------------------------------------------------------------------------------


class MGMHurry:
    """
    💨 Your command is my objective 💨

    CLI Tool for setting up and managing a Freqtrade instance containing the MoniGoMani Framework & Strategy

    Attributes:
        monigomani_config   The monigomani_config object
        freqtrade_cli       The FreqtradeCli object
        logger             The logging function out of MoniGoManiLogger
    """
    monigomani_config: MoniGoManiConfig
    freqtrade_cli: FreqtradeCli
    logger: logging

    def __init__(self):
        tprint('mgm-hurry')

        self.basedir = os.getcwd()
        self.logger = MoniGoManiLogger(self.basedir).get_logger()
        self.monigomani_config = MoniGoManiConfig(self.basedir)

        if self.monigomani_config.reload() is False:
            self.logger.error(Color.red('⚠️ Failed to load or create ".hurry" config file.'))

        self.freqtrade_cli = FreqtradeCli(self.basedir)
        self.monigomani_cli = MoniGoManiCli(self.basedir)

    def version(self):
        if self.freqtrade_cli.install_type == 'source':
            if self.freqtrade_cli.installation_exists(silent=True):
                self.logger.info(Color.green(Color.bold(Color.underline('MoniGoMani Version:'))))
                self.monigomani_cli.run_command(f'cd {self.basedir}/monigomani; git log -1; cd ..; echo "";')
            else:
                self.logger.warning(Color.yellow('"No MoniGoMani installation detected!'))

            if self.freqtrade_cli.installation_exists(silent=True):
                self.logger.info(Color.green(Color.bold(Color.underline('Freqtrade Version:'))))
                self.monigomani_cli.run_command('git log -1; echo "";')
            else:
                self.logger.warning(Color.yellow('"No Freqtrade installation detected!'))

        else:
            self.logger.warning(Color.yellow('"version" command currently only supported on "source" installations.'))

    def up(self):  # pylint: disable=invalid-name
        """
        The all in one command. Hurry up, turn it up!
        """
        self.logger.info(Color.title('👉 The all in one command. Hurry up, turn it up!'))

        answers = prompt(questions=[{
            'type': 'confirm',
            'name': 'install_freqtrade',
            'message': f'💨 Do you want to '
                       f'{"update" if self.freqtrade_cli.installation_exists(silent=True) else "install"} Freqtrade?'
        }, {
            'type': 'confirm',
            'name': 'install_mgm',
            'message': f'💨 Do you want to '
                       f'{"update" if self.monigomani_cli.installation_exists(silent=True) else "install"} MoniGoMani?'
        }, {
            'type': 'confirm',
            'name': 'run_setup',
            'message': '💨 Do you want to configure it now?'
        }, {
            'type': 'confirm',
            'name': 'download_static_pairlist',
            'message': '💨 Do you want to generate a static pairlist now?'
        }, {
            'type': 'confirm',
            'name': 'download_data',
            'message': '💨 Do you want to download candle data now?'
        }, {
            'type': 'confirm',
            'name': 'do_hyperopt',
            'message': '💨 Do you want to hyperopt now?'
        }, {
            'type': 'confirm',
            'name': 'do_backtest',
            'message': '💨 Do you want to backtest now?'
        }, {
            'type': 'list',
            'name': 'start_trading',
            'message': '💨 Do you want to start trading?',
            'choices': [
                {'name': 'No', 'value': 0},
                {'name': 'Yes, Dry-Run please', 'value': 1},
                {'name': 'Yes, for real!', 'value': 2}
            ]
        }])

        if answers == {}:
            sys.exit()

        if answers.get('install_freqtrade') is True:
            self.install_freqtrade()

        if answers.get('install_mgm') is True:
            self.install_mgm()

        if answers.get('run_setup') is True:
            self.setup()

        if answers.get('download_static_pairlist') is True:
            self.download_static_pairlist()

        if answers.get('download_data') is True:
            self.download_candle_data()

        strategy = self.monigomani_config.config['hyperopt']['strategy']
        if answers.get('do_hyperopt') is True:
            ho_results_found = False
            if strategy == 'MoniGoManiHyperStrategy':
                mgm_config_ho = self.monigomani_config.config['mgm_config_names']['mgm-config-hyperopt']
                if os.path.isfile(f'{self.basedir}/user_data/{mgm_config_ho}'):
                    ho_results_found = True
            elif os.path.isfile(f'{self.basedir}/user_data/strategies/{strategy}.json'):
                ho_results_found = True

            if ho_results_found is True:
                clean_start = prompt(questions=[{
                    'type': 'list',
                    'name': 'clean_start',
                    'message': 'Previous HyperOpt Results where found. Do you wish to remove these for a clean start?',
                    'choices': [
                        {'name': 'Yes', 'value': 1},
                        {'name': 'No', 'value': 0}
                    ]}
                ])

                if clean_start.get('clean_start') == 1:
                    self.cleanup(strategy)

            if strategy == 'MoniGoManiHyperStrategy':
                importance_report_answer = prompt(questions=[{
                    'type': 'confirm',
                    'name': 'importance_report',
                    'message': '💨 Do you want to generate signal importance reports?'
                }])
                report_answer = importance_report_answer.get('importance_report')
            else:
                report_answer = False

            # First HO run
            self.hyperopt(do_backtest=answers.get('do_backtest'), importance_report=report_answer)
            ho_choice = prompt(questions=[{
                'type': 'input',
                'name': 'ho_epoch',
                'message': '(HO 1) Choose the epoch which fits the best to your liking: (0-1000) ',
                'filter': lambda val: int(val),
                'validate': NumberValidator()
            }])
            self.hyperopt_show_epoch(ho_choice.get('ho_epoch'))

            if strategy == 'MoniGoManiHyperStrategy':
                # Second HO run
                self.hyperopt(do_backtest=answers.get('do_backtest'), importance_report=report_answer)
                ho_choice = prompt(questions=[{
                    'type': 'input',
                    'name': 'ho_epoch',
                    'message': '(HO 2) Choose the epoch which fits the best to your liking: (0-1000) ',
                    'filter': lambda val: int(val),
                    'validate': NumberValidator()
                }])
                self.hyperopt_show_epoch(ho_choice.get('ho_epoch'))

        if answers.get('do_backtest') is True:
            self.backtest()

        if answers.get('start_trading') > 0:
            if answers.get('start_trading') == 2:
                self.start_trader(False)
            else:
                self.start_trader(True)
        else:
            self.logger.info(Color.green('💨 Executing mgm-hurry up finished.'))

    def install_freqtrade(self, target_dir: str = None, branch: str = 'develop',
                          commit: str = '3503fdb4ec31be99f433fdce039543e0911964d6', install_ui: bool = True):
        """
        Install or update Freqtrade the easy way.

        :param target_dir: (string, optional) Specify a target_dir to install Freqtrade. Defaults to os.getcwd().
        :param branch: (string, optional) Checkout a specific branch. Defaults to 'develop'.
        :param commit: (str) Checkout a specific commit. Defaults to latest supported by MoniGoMani,
            but 'latest' can also be used.
        :param install_ui: (bool) Install FreqUI. Defaults to True.
        """
        self.logger.info(Color.title('👉 Install Freqtrade'))

        # Checking Freqtrade installation to confirm for overwrite
        if self.freqtrade_cli.installation_exists() is True:
            result = prompt(questions=[{
                'type': 'confirm',
                'message': 'It looks like Freqtrade is already installed. Proceed to overwrite?',
                'name': 'proceed',
                'default': False
            }])

            if result.get('proceed') is False:
                self.logger.info('Skipping overwriting Freqtrade installation.')
                return False

        if target_dir is None:
            target_dir = self.basedir

        self.freqtrade_cli.download_setup_freqtrade(target_dir=target_dir, branch=branch,
                                                    commit=commit, install_ui=install_ui)

        self.logger.info(Color.green('🍺 Freqtrade has been installed. You can now proceed to install MoniGoMani. '
                                     '(Hint: mgm-hurry install_mgm)'))

        return True

    def install_mgm(self, target_dir: str = None, branch: str = 'development', commit: str = None):
        """
        Install or update the MoniGoMani Framework & Strategy.

        :param branch: (string, optional) Checkout a specific branch. Defaults to 'development'.
        :param target_dir: (string, optional) Specify a target_dir to install MoniGoMani. Defaults to os.getcwd().
        :param commit: (str) Checkout a specific commit. Defaults to None aka 'latest'.
        """
        self.logger.info(Color.title('👉 Install MoniGoMani'))

        # Checking MoniGoMani installation to confirm for overwrite
        if self.monigomani_cli.installation_exists() is True:
            result = prompt(questions=[{
                'type': 'confirm',
                'message': 'It looks like MoniGoMani is already installed. Proceed to overwrite?',
                'name': 'proceed',
                'default': False
            }])

            if result.get('proceed') is False:
                self.logger.info('Skipping overwriting MoniGoMani installation.')
                return False

            # Check if the private config file already exists.
            cfg_filename = self.monigomani_config.get_config_filepath('mgm-config-private')
            mgm_private_json_name = self.monigomani_config.config['mgm_config_names']['mgm-config-private']

            result = prompt(questions=[{
                'type': 'confirm',
                'message': f'Should I print your "{mgm_private_json_name}" contents '
                           f'so you can copy it over to new installation?',
                'name': 'print',
                'default': False,
                'when': lambda result: os.path.isfile(cfg_filename)
            }, {
                'type': 'confirm',
                'message': Color.yellow('WARNING: You are printing sensitive information '
                                        'which you should NEVER SHARE with anybody. Really proceed?'),
                'name': 'print_confirmed',
                'default': False,
                'when': lambda result: result['print']
            }])

            if result.get('print_confirmed') is True:
                # Read 'mgm-config-private' and pretty print it
                with open(f'{self.basedir}/user_data/{mgm_private_json_name}', ) as mgm_private_config:
                    print(json.dumps(json.load(mgm_private_config), indent=4))

        if target_dir is None:
            target_dir = self.basedir

        self.monigomani_cli.download_setup_mgm(target_dir, branch, commit)
        self.monigomani_config.create_config_files(self.basedir)
        self.logger.info(Color.green('🍺 MoniGoMani has been installed. You can now proceed to setup your instance. '
                                     '(Hint: mgm-hurry setup)'))

    def setup(self):
        """
        Saves setup data based on your answers
        """
        self.logger.info(Color.title('👉 Setup'))

        self.logger.info('🤓 Let\'s answer some questions to make your life easier.')

        strategies = map(lambda f: os.path.basename(f).replace('.py', ''),
                         glob.glob(f'{self.basedir}/user_data/strategies/*.py'))

        strategies_choices = []
        for strat in strategies:
            if strat != 'MasterMoniGoManiHyperStrategy':
                strategies_choices.append({'name': strat, 'value': strat})

        if len(strategies_choices) == 0:
            strat_dir = f'{self.basedir}/user_data/strategies/'
            self.logger.error(Color.red(f'🤷 I could not find any strategy in {strat_dir}. '
                                        f'Did you install Freqtrade & MoniGoMani?'))
            sys.exit(1)

        self.monigomani_config.create_config_files(self.basedir)

        hyperopts = map(lambda f: os.path.basename(f).replace('.py', ''),
                        glob.glob(f'{self.basedir}/user_data/hyperopts/*.py'))

        hyperopts_choices = []
        for hyperopt in hyperopts:
            hyperopts_choices.append({'name': hyperopt, 'value': hyperopt})

        if len(hyperopts_choices) == 0:
            ho_dir = f'{self.basedir}/user_data/hyperopts/'
            self.logger.error(Color.red(f'🤷 I could not find any hyperopts in {ho_dir}. '
                                        f'Did you install Freqtrade & MoniGoMani?'))
            sys.exit(1)

        self.monigomani_config.reload()

        """
        'type': 'list',
        'name': 'install_type',
        'message': 'Which way you want to use Freqtrade?',
        'choices': ['docker', 'source'],
        'default': self.monigomani_config.get('install_type') or 'source'
        }, {
        """
        answers = prompt(questions=[{
            'type': 'input',
            'name': 'timerange',
            'message': 'Please enter the default timerange you want to use:',
            'default': self.monigomani_config.get('timerange') or '20210501-20210616'
        }, {
            'type': 'list',
            'name': 'ho_strategy',
            'message': 'Which HyperOpt Strategy do you want to use?',
            'choices': strategies_choices,
            'default': self.monigomani_config.get('hyperopt')['strategy'] or 'MoniGoManiHyperStrategy'
        }, {
            'type': 'list',
            'name': 'ho_loss',
            'message': 'Which HyperOpt Loss do you want to use?',
            'choices': hyperopts_choices,
            'default': self.monigomani_config.get('hyperopt')['loss'] or 'MGM_WinRatioAndProfitRatioHyperOptLoss'
        }, {
            'type': 'checkbox',
            'name': 'ho_spaces',
            'message': 'Which spaces do you want to HyperOpt?',
            'choices': map(
                lambda x: {'enabled': True, 'name': x['name'], 'value': x['value']}
                if x['value'] in self.monigomani_config.get('hyperopt')['spaces'].split(' ')
                else {'enabled': False, 'name': x['name'], 'value': x['value']},
                [
                    {'enabled': False, 'name': 'default', 'value': 'default'},
                    {'enabled': False, 'name': 'buy', 'value': 'buy'},
                    {'enabled': False, 'name': 'sell', 'value': 'sell'},
                    {'enabled': False, 'name': 'roi', 'value': 'roi'},
                    {'enabled': False, 'name': 'stoploss', 'value': 'stoploss'},
                    {'enabled': False, 'name': 'trailing', 'value': 'trailing'},
                    {'enabled': False, 'name': 'all', 'value': 'all'}
                ]
            ),
            'filter': lambda val: ' '.join(val)
        }, {
            'type': 'input',
            'name': 'stake_currency',
            'message': 'Please enter the default stake currency you want to use:',
            'default': self.monigomani_config.get('hyperopt')['stake_currency'] or 'USDT'
        }, {
            'type': 'input',
            'name': 'ho_epochs',
            'message': 'Please enter the amount of epochs you want to HyperOpt:',
            'default': str(self.monigomani_config.get('hyperopt')['epochs']) or '1000',
            'filter': lambda val: int(val)
        }, {
            'type': 'confirm',
            'message': 'Do you want to also setup your exchange?',
            'name': 'proceed_exchange',
            'default': True,
        }, {
            'type': 'list',
            'name': 'exchange',
            'message': 'Which exchange do you want to use?',
            'choices': ['binance', 'bittrex', 'bitvavo', 'ftx', 'gateio', 'kraken', 'kucoin'],
            'when': lambda result: result['proceed_exchange']
        }, {
            'type': 'password',
            'name': 'api_key',
            'message': 'Please enter the exchange API key: ',
            'when': lambda result: result['proceed_exchange']
        }, {
            'type': 'password',
            'name': 'api_secret',
            'message': 'Please enter the exchange API secret: ',
            'when': lambda result: result['proceed_exchange']
        }, {
            'type': 'input',
            'name': 'username',
            'message': 'Please enter the username you want to use to share test results with the MoniGoMani community:',
            'default': self.monigomani_config.get('username') or 'MoniGoMani Community'
        }])

        if answers == {}:
            sys.exit(1)

        """
        if answers.get('install_type') == 'source':
            ft_binary = f'source {self.basedir}/.env/bin/activate; freqtrade'
        else:
            ft_binary = 'docker-compose run --rm freqtrade'
        """
        new_config = {
            'config': {
                'username': answers.get('username'),
                'install_type': 'source',  # answers.get('install_type'),
                'ft_binary': f'source {self.basedir}/.env/bin/activate; freqtrade',  # ft_binary,
                'timerange': answers.get('timerange'),
                'exchange': answers.get('exchange') or 'none',
                'hyperopt': {
                    'strategy': answers.get('ho_strategy'),
                    'loss': answers.get('ho_loss'),
                    'spaces': answers.get('ho_spaces') or 'default',
                    'stake_currency': answers.get('stake_currency'),
                    'epochs': answers.get('ho_epochs')
                },
                'mgm_config_names': {
                    'mgm-config': 'mgm-config.json',
                    'mgm-config-private': 'mgm-config-private.json',
                    'mgm-config-hyperopt': 'mgm-config-hyperopt.json'
                }
            }
        }

        self.monigomani_config.write_hurry_dotfile(new_config)
        # Overwrite the new stake currency in '.hurry' & mgm-config[stake_currency]
        self.monigomani_config.save_stake_currency(answers.get('stake_currency'))

        if answers.get('proceed_exchange') is True:
            self.monigomani_config.save_exchange_credentials({
                'exchange': answers.get('exchange'),
                'api_key': answers.get('api_key'),
                'api_secret': answers.get('api_secret')
            })

        self.__setup_telegram()

    def cleanup(self, strategy: str = 'MoniGoManiHyperStrategy'):
        """
        Deletes stored HyperOpt config(s) from previous run(s)

        :param strategy: (Optional, string) Name of the Strategy to cleanup, defaults to 'MoniGoManiHyperStrategy'
        """
        self.logger.info(Color.title('👉 Cleanup'))

        # Remove hyperopt files to cleanup
        cleaned_up = self.monigomani_config.cleanup_hyperopt_files(strategy)

        message = f'🍺 Cleanup successful, {strategy} ready for a fresh HyperOpt Run...' if cleaned_up is True \
            else f'🍺 No Cleanup was needed, {strategy} ready for a fresh HyperOpt Run...'
        self.logger.info(Color.green(message))

    def download_candle_data(self, timerange: str = None):
        """
        Downloads candle data for the given timerange.

        :param timerange: (string, optional) Timerange from/to in string format (start-end): yyyymmdd-yyyymmdd.
            Defaults to timerange out of ".hurry" config file. -or- for preset timerange: down, side, up
        """
        self.logger.info(Color.title('👉 Download candle data'))

        if self.monigomani_config.reload() is False:
            self.logger.error(Color.red('🤷 No Hurry config file found. Please run: mgm-hurry setup'))
            sys.exit(1)

        timerange = self.monigomani_config.get_preset_timerange(timerange)

        if self.freqtrade_cli.installation_exists() is False:
            self.logger.error(Color.red('🤷 No Freqtrade installation found. I crash.'))

        answers = prompt(questions=[{
            'type': 'input',
            'name': 'timerange',
            'message': 'Please enter the timerange you want to use: ',
            'default': timerange
        }, {
            'type': 'checkbox',
            'name': 'tickers',
            'message': 'Specify which tickers to download: ',
            'choices': [
                {'name': '1m', 'value': '1m', 'enabled': False},
                {'name': '3m', 'value': '3m', 'enabled': False},
                {'name': '5m', 'value': '5m', 'enabled': True},
                {'name': '15m', 'value': '15m', 'enabled': False},
                {'name': '30m', 'value': '30m', 'enabled': True},
                {'name': '1h', 'value': '1h', 'enabled': False},
                {'name': '2h', 'value': '2h', 'enabled': False},
                {'name': '4h', 'value': '4h', 'enabled': False},
                {'name': '6h', 'value': '6h', 'enabled': False},
                {'name': '8h', 'value': '8h', 'enabled': False},
                {'name': '12h', 'value': '12h', 'enabled': False},
                {'name': '1d', 'value': '1d', 'enabled': False},
                {'name': '3d', 'value': '3d', 'enabled': False},
                {'name': '1w', 'value': '1w', 'enabled': False},
                {'name': '2w', 'value': '2w', 'enabled': False},
                {'name': '1M', 'value': '1M', 'enabled': False},
                {'name': '1y', 'value': '1y', 'enabled': False}
            ],
            'validate': lambda result: len(result) >= 1,
            'invalid_message': 'should be at least 1 selection',
            'instruction': '(select at least 1)',
            'filter': lambda val: ' '.join(val)
        }, {
            'type': 'list',
            'name': 'extra_data',
            'message': 'Download extra data for "mgm-config"\'s defined "startup_candle_count" & "timerange"?',
            'choices': [
                {'name': 'Yes', 'value': 1},
                {'name': 'No', 'value': 0}
            ]
        }])

        if answers == {}:
            sys.exit()

        timerange = answers.get('timerange')
        tickers = answers.get('tickers')
        extra_data = answers.get('extra_data')

        if extra_data == 1:
            new_timerange_dict = self.monigomani_cli.calculate_timerange_start_minus_startup_candle_count(timerange)
            timerange = new_timerange_dict['new_timerange']

        self.logger.info(f'👉 Downloading candle data ({tickers}) for timerange ({timerange})')

        command = (f'{self.monigomani_config.config["ft_binary"]} download-data --timerange {timerange} '
                   f'-t {tickers} {self.monigomani_config.command_configs()}')

        self.logger.debug(command)
        self.monigomani_cli.run_command(command)
        self.logger.info(Color.green('🍺 Downloading candle data finished.'))

    def download_static_pairlist(self, stake_currency: str = None, exchange: str = None,
                                 pairlist_length: int = None, min_days_listed: int = None):
        """
        Downloads StaticPairList and saves into 'mgm-config' and the 'mgm_pair_lists' folder.

        :param stake_currency: (str) The stake currency to find the list of. Defaults to value in '.hurry' or 'USDT'
        :param exchange: (str) The exchange to read the data from. Defaults to value in '.hurry' or 'binance'
        :param pairlist_length (int) Amount of pairs wish to use in your pairlist. Prompts you for the amount
        :param min_days_listed (int) The minimal days that coin pairs need to be listed on the exchange.
            Defaults to the amount of days in between now and the start of
            the timerange in '.hurry' minus the startup_candle_count
        :return None
        """
        self.logger.info(Color.title('👉 Download Top Volume Static Pairlist'))

        if self.monigomani_config.reload() is False:
            self.logger.error(Color.red('🤷 No Hurry config file found. Please run: mgm-hurry setup'))
            sys.exit(1)

        if self.freqtrade_cli.installation_exists() is False:
            self.logger.error(Color.red('🤷 Whaaaa.. No Freqtrade installation found. Beats me...'))
            sys.exit(1)

        # Download and generate a static pairlist
        self.logger.info('🤖 Generating new static pairlist...')

        if stake_currency is None:
            stake_currency = self.monigomani_config.config['hyperopt']['stake_currency']
        if exchange is None:
            exchange = self.monigomani_config.config['exchange'].title()

        static_pairlist = self.freqtrade_cli.download_static_pairlist(
            stake_currency=stake_currency, exchange=exchange,
            pairlist_length=pairlist_length, min_days_listed=min_days_listed)

        # Save new static pairlist to his own pairlist json file
        relative_location = f'mgm_pair_lists/{exchange}-{stake_currency}-Top-Volume-StaticPairList.json'
        self.logger.info(f'🤖 Saving fresh static pairlist into {relative_location}')
        with open(f'{self.basedir}/user_data/{relative_location}', 'w+') \
                as pairlist_file:
            data_format = {'exchange': {'pair_whitelist': static_pairlist}}
            json.dump(data_format, pairlist_file, indent=4)

        mgm_json_name = self.monigomani_config.config['mgm_config_names']['mgm-config']
        self.logger.info(Color.green(f'🍺 Saving pairlist as whitelist to "{mgm_json_name}"...'))
        # Overwrite the new static pairlist to the exchange config in mgm-config[exchange][pair_whitelist]
        mgm_config_file = self.monigomani_config.get_config_filepath('mgm-config')
        with open(mgm_config_file, ) as mgm_config:
            try:
                mgm_config_object = json.load(mgm_config)
            except Exception:
                mgm_config_object = {'exchange': {'pair_whitelist': []}}
            mgm_config.close()

        with open(mgm_config_file, 'w') as mgm_config:
            mgm_config_object['exchange']['pair_whitelist'] = static_pairlist
            json.dump(mgm_config_object, mgm_config, indent=4)
            mgm_config.close()

    def hyperopt(self, timerange: str = None, strategy: str = None, loss: str = None, spaces: str = None,
                 enable_protections: bool = True, random_state: int = None, apply_best_results: bool = True,
                 clean_start: bool = False, do_backtest: bool = True, plot_profits: bool = True, plot_stats: bool = True,
                 importance_report: bool = True, export_csv: bool = True, output_file_name: str = None,
                 epochs: int = None, jobs: int = None, min_trades: int = None):
        """
        HyperOpt Magic. Runs HyperOpt process to find out the most positive settings, automatically saves results.

        :param timerange: (str, Optional): timerange from/to in format (start-end): yyyymmdd-yyyymmdd
            or preset [up, down, side]. Defaults to value in '.hurry'
        :param strategy: (str, Optional): Hyper Opt strategy to use. Defaults to value in '.hurry'
        :param loss: (str, Optional): Specify the HyperOptLoss which you want to use. Defaults to value in '.hurry'
        :param spaces: (str, Optional): Spaces (space delimited) to optimize
            for [default, all, buy, sell, roi, stoploss, etc]. Defaults to value in '.hurry'
        :param enable_protections: (bool, Optional): Add '--enable-protections' flag to HO-command. Defaults to True.
        :param random_state: (int, Optional): Add '--random-state random_state' flag to HO-command. Defaults to None.
        :param apply_best_results: (bool, Optional): Apply 'best' HO results direct after HO? Defaults to True.
        :param clean_start: (bool, Optional): Cleanup MoniGoMani before starting the HO? Defaults to False.
        :param do_backtest: (bool, Optional): Do a BackTest after the HO? Defaults to True.
        :param plot_profits: (bool, Optional): Plot a Profits graph after the BackTest? Defaults to True.
        :param plot_stats: (bool, Optional): Plot a QuantStats report after the BackTest? Defaults to True.
        :param importance_report: (bool, Optional): Calculate a signal importance report after the HO? Defaults to True.
        :param export_csv: (bool, Optional): Export the HO results into a '.csv' SpreadSheet? Defaults to True.
        :param output_file_name: (str, Optional) Custom filename for the HyperOptResults '.log' file that will be
            stored in the format: 'HyperOptResults-<output_file_name>.log'. Defaults to 'Strategy + Current DateTime'
        :param epochs: (int) Amount of epochs to HyperOpt over. Defaults to value defined in '.hurry'
        :param jobs: (int) Amount of parallel workers (CPU cores) to use, gets set automatically by default
        :param min_trades: (int) Minimal amount of trades wished to be reached. Unused by default
        """

        if strategy is None:
            strategy = self.monigomani_config.config['hyperopt']['strategy']
        if epochs is None:
            epochs = self.monigomani_config.config['hyperopt']['epochs']

        initial_run = True
        if clean_start is True:
            self.cleanup(strategy)
        elif os.path.isfile(f'{self.basedir}/user_data/strategies/{strategy}.json') or (
                (strategy == 'MoniGoManiHyperStrategy') and (
                os.path.isfile(self.monigomani_config.get_config_filepath('mgm-config-hyperopt')) is True)):
            initial_run = False

        self.logger.info(Color.title('👉 Starting HyperOpt run. Keep calm while your computer burns 🔥'))

        timerange = self.monigomani_config.get_preset_timerange(timerange)

        if loss is None:
            loss = self.monigomani_config.config['hyperopt']['loss']
        if spaces is None:
            spaces = self.monigomani_config.config['hyperopt']['spaces']

        command = (f'$ft_binary hyperopt -s $ho_strategy {self.monigomani_config.command_configs()}'
                   f'--hyperopt-loss $ho_loss --spaces $ho_spaces -e $ho_epochs --timerange $timerange ')

        if enable_protections is True:
            command = f'{command.strip()} --enable-protections '
        if random_state is not None:
            command = f'{command.strip()} --random-state $random_state '
        if jobs is not None:
            command = f'{command.strip()} -j $jobs '
        if min_trades is not None:
            command = f'{command.strip()} --min-trades $min_trades '

        command = Template(command).substitute(
            ft_binary=self.monigomani_config.config['ft_binary'],
            ho_strategy=strategy,
            ho_loss=loss,
            ho_spaces=spaces,
            ho_epochs=epochs,
            timerange=timerange,
            random_state=random_state,
            jobs=jobs,
            min_trades=min_trades)

        self.logger.debug(command)
        if output_file_name is None:
            output_file_name = f'{strategy}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        hyperopt_file_name = f'HyperOptResults-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/hyperopt_results/{hyperopt_file_name}.log'

        self.monigomani_cli.run_command(command=command, output_file_name=output_file_path,hyperopt=True)

        last_ho_results_path = f'{self.basedir}/user_data/hyperopt_results/.last_ho_results_table.log'
        if os.stat(last_ho_results_path).st_size == 0:
            self.logger.error(Color.red('🤷 No "best" results found during the HyperOpt, aborting further tests '
                                        'since there are no HyperOpt results to test upon.'))
            sys.exit(1)

        if (apply_best_results is True) and (strategy == 'MoniGoManiHyperStrategy'):
            self.monigomani_cli.apply_mgm_results(strategy)
            self.monigomani_config.save_weak_strong_signal_overrides()

        # Read 'mgm-config-hyperopt' or <StrategyName>.json and pretty print it
        if strategy == 'MoniGoManiHyperStrategy':
            ho_results_json_path = self.monigomani_config.get_config_filepath('mgm-config-hyperopt')
        else:
            ho_results_json_path = f'{self.basedir}/user_data/strategies/{strategy}.json'
        with open(ho_results_json_path, ) as ho_results_json:
            ho_results_json_string = f'\n{json.dumps(json.load(ho_results_json), indent=4)}'
            self.logger.info(ho_results_json_string)

            ho_results_log = open(output_file_path, 'a')
            ho_results_log.write(ho_results_json_string)
            ho_results_log.close()

        if initial_run is True:
            message = f'🚀 Fresh **{strategy}** Initial HyperOpt Run Results ⬇️\n'
        elif strategy == 'MoniGoManiHyperStrategy':
            message = f'🚀 Fresh **{strategy}** Refinement HyperOpt Run Results ⬇️\n'
        else:
            message = f'🚀 Fresh **{strategy}** HyperOpt Run Results ⬇️\n'

        MoniGoManiLogger(self.basedir).post_message(username=self.monigomani_config.config['username'], message=message,
                                                    results_paths=[last_ho_results_path, output_file_path])
        if (importance_report is True) and (strategy == 'MoniGoManiHyperStrategy'):
            self.importance_report(output_file_name=output_file_name)
        if apply_best_results is False:
            self.cleanup(strategy)
            if do_backtest is True:
                self.logger.warning(Color.yellow('🤷 Backtesting without HyperOptResults applied?..'))

        if export_csv is True:
            self.export_csv(strategy=strategy, output_file_name=output_file_name)
        if do_backtest is True:
            self.backtest(timerange=timerange, strategy=strategy, enable_protections=enable_protections,
                          plot_profits=plot_profits, plot_stats=plot_stats, output_file_name=output_file_name)
        else:
            MoniGoManiLogger(self.basedir).post_setup(config=self.monigomani_config.config,
                                                      strategy=strategy, basedir=self.basedir)

        self.logger.info(Color.green('🍺 HyperOpt run ready... 🥵'))

    def hyperopt_show_results(self, only_best: bool = True, only_profitable: bool = False):
        """
        Show hyperopt results after choosing a .fthypt file.

        :param only_best: (bool, Optional); Show only best epochs. Defaults to True.
        :param only_profitable: (bool, Optional); Show only profitable epochs. Defaults to False.
        """

        choice = self.freqtrade_cli.choose_fthypt_file()

        self.logger.info(Color.title(f'👉 Showing hyperopt results for: {choice}'))

        best = '--best' if only_best is True else ''
        profit = '--profitable' if only_profitable is True else ''

        command = (f'{self.monigomani_config.config["ft_binary"]} hyperopt-list '
                   f'--hyperopt-filename "{choice}" {best} {profit}')
        self.logger.debug(command)

        self.monigomani_cli.run_command(command)

    def hyperopt_show_epoch(self, epoch: int = 0, strategy: str = None, apply: bool = True, fthypt: str = None):
        """
        Shows the HyperOpt results for a given epoch.

        :param epoch: (int) The epoch number to show the results from
        :param strategy: (str) The strategy used. Defaults to value in '.hurry'
        :param apply: (bool) Apply the results of the epoch. Defaults to true
        :param fthypt: (str) '.fthypt' file to show epoch. If 'true' is passed,
            an interactive prompt will launch to pick an '.fthypt' file of choice. Defaults to latest'
        """
        self.logger.info(Color.title(f'👉 Hyperopt show {"" if apply is False else "and apply "}results'))

        fthypt_name = None
        if fthypt is not None:
            fthypt_name = self.freqtrade_cli.parse_fthypt_name(fthypt_name=fthypt)

        if epoch == 0:
            self.logger.error(Color.red('🤷 Please pass the epoch number through. '
                                        'Hint: mgm-hurry hyperopt_show_epoch --epoch=837'))
            sys.exit(1)

        self.logger.info(f'👉 Showing {"" if apply is False else "and applying "}HyperOpt results for epoch #{epoch}')

        command = (f'{self.monigomani_config.config["ft_binary"]} hyperopt-show -n {epoch} '
                   f'{self.monigomani_config.command_configs()}')

        if fthypt_name is not None:
            command += f' --hyperopt-filename {fthypt_name}'

        self.monigomani_cli.run_command(command)

        if strategy is None:
            strategy = self.monigomani_config.config['hyperopt']['strategy']
        if (apply is True) and (strategy == 'MoniGoManiHyperStrategy'):
            self.monigomani_cli.apply_mgm_results(strategy)

        if apply is True:
            self.logger.info(Color.green(f'🍺 Hyperopt results of epoch #{epoch} are applied.'))
        else:
            self.cleanup(strategy)

    def backtest(self, timerange: str = None, strategy: str = None, enable_protections: bool = True,
                 plot_profits: bool = True, plot_stats: bool = True, output_file_name: str = None):
        """
        Run a backtest session and automatically save the results.

        :param timerange: (string, Optional): The target timerange for backtesting. Defaults to timerange in '.hurry'.
        :param strategy: (str, Optional): Strategy to use during BackTesting. Defaults to value in '.hurry'
        :param enable_protections: (bool, Optional): Whether or not to enable protections. Defaults to True.
        :param plot_profits: (bool, Optional): Automatically plot visual profit graphs in '.html'. Defaults to True.
        :param plot_stats: (bool, Optional): Automatically plot visual stats report in '.html'. Defaults to True.
        :param output_file_name: (str, Optional) Custom filename for the BackTestResults '.log' file that will be stored
            in the format: 'BackTestResults-<output_file_name>.log'. Defaults to 'Strategy + Current DateTime'.
        """
        self.logger.info(Color.title('👉 Start BackTesting. Lets see how it all turns out!'))

        timerange = self.monigomani_config.get_preset_timerange(timerange)
        command = (f'$ft_binary backtesting -s $ho_strategy {self.monigomani_config.command_configs()}'
                   f'--timerange $timerange')

        if timerange is None:
            timerange = self.monigomani_config.config['timerange']
        if strategy is None:
            strategy = self.monigomani_config.config['hyperopt']['strategy']
        if enable_protections is True:
            command = f'{command} --enable-protections'

        if (strategy == 'MoniGoManiHyperStrategy') and (
                os.path.isfile(self.monigomani_config.get_config_filepath('mgm-config-hyperopt')) is False):
            self.logger.error(Color.red(f'🤷 MoniGoManiHyperStrategy needs to be HyperOpted before it will '
                                        f'start to produce valid BackTest Results!\n(Hint: Run "mgm-hurry hyperopt")'))
            return None

        command = Template(command).substitute(
            ft_binary=self.monigomani_config.config['ft_binary'],
            ho_strategy=strategy,
            timerange=timerange)

        if output_file_name is None:
            output_file_name = f'{strategy}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        backtest_file_name = f'BackTestResults-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/backtest_results/{backtest_file_name}.log'

        self.monigomani_cli.run_command(command, output_file_path, backtest=True)
        message = f'🚀 Fresh **{strategy}** BackTest Results ⬇\n'

        last_sell_reasons_path = f'{self.basedir}/user_data/backtest_results/.last_backtest_sell_reasons.log'

        MoniGoManiLogger(self.basedir).post_message(username=self.monigomani_config.config['username'], message=message,
                                                    results_paths=[last_sell_reasons_path, output_file_path])

        if plot_profits is True:
            self.plot_profit(choose_results=False, timerange=timerange,
                             strategy=strategy, output_file_name=output_file_name)
        if plot_stats is True:
            try:
                self.plot_stats(choose_results=False, strategy=strategy, output_file_name=output_file_name)
            except:
                self.logger.error(Color.red(f'Create stats html report failed'))

        MoniGoManiLogger(self.basedir).post_setup(config=self.monigomani_config.config,
                                                  strategy=strategy, basedir=self.basedir)

        self.logger.info(Color.green('🍺 Backtesting ready... 🤑'))

    def plot_profit(self, choose_results: bool = True, timerange: str = None,
                    timeframe: str = '1h', strategy: str = None, output_file_name: str = None) -> None:
        """
        Plot the profits from a BackTest into visual graphs.

        :param choose_results: (bool) If 'False' then the last BackTest result will be used.
            Defaults to an interactive prompt to choose a 'backtest-result-<timestamp>.json' file.
        :param timerange: (str) Timerange that corresponds to the timerange used for the backtest-result
        :param timeframe: (str) Candle sizes to be used in the graphs that will be plotted. Defaults to '1h'
        :param strategy: (str, Optional): Strategy to use during BackTesting. Defaults to value in '.hurry'
        :param output_file_name: (str, Optional) Custom filename for the profit plot '.html' file that will be stored
            in the format: 'PlotProfitResults-<output_file_name>.html'. Defaults to 'Strategy + Current DateTime'.
        """

        self.logger.info(Color.title(f'👉 Plotting profit graph for BackTest results'))

        if timerange is None:
            timerange = self.monigomani_config.config['timerange']
        if strategy is None:
            strategy = self.monigomani_config.config['hyperopt']['strategy']

        backtest_results_file = self.freqtrade_cli.choose_backtest_results_file(choose_results=choose_results)
        backtest_results_path = f'{self.basedir}/user_data/backtest_results/{backtest_results_file}'

        if os.path.isfile(backtest_results_path) is True:
            # Load the 'backtest-result-<timestamp>.json' file as an object and parse it as a dictionary
            file_object = open(backtest_results_path, )
            backtest_results = json.load(file_object)

            if len(backtest_results['strategy'][strategy]['trades']) == 0:
                self.logger.error(Color.red(f'🤷 No trades where done in the given {backtest_results_file} file.\n'
                                            f'Please provide a BackTest results file in which '
                                            f'actual trading has been done!'))
                return None
        else:
            self.logger.error(Color.red(f'🤷 {backtest_results_file} file could not be found.\nPlease make sure that '
                                        f'the provided BackTest results file actually exists!'))
            return None

        if output_file_name is None:
            output_file_name = f'{strategy}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        plot_profit_file_name = f'PlotProfitResults-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/plot/{plot_profit_file_name}.html'

        self.monigomani_cli.run_command(
            f'{self.monigomani_config.config["ft_binary"]} plot-profit {self.monigomani_config.command_configs()}'
            f'--export-filename {backtest_results_path} --timerange {timerange} --timeframe {timeframe} && '
            f'mv {self.basedir}/user_data/plot/freqtrade-profit-plot.html {output_file_path}')

        MoniGoManiLogger(self.basedir).post_message(
            username=self.monigomani_config.config['username'],
            message=f'🚀 Fresh **{strategy}** Plot Profit Results ⬇️', results_paths=[output_file_path])

    def plot_stats(self, choose_results: bool = True,
                   strategy: str = None, output_file_name: str = None) -> None:
        """
        Plot the stats report from a BackTest into detail html file.

        :param choose_results: (bool) If 'False' then the last BackTest result will be used.
            Defaults to an interactive prompt to choose a 'backtest-result-<timestamp>.json' file.
        :param strategy: (str, Optional): Strategy to use during BackTesting. Defaults to value in '.hurry'
        :param output_file_name: (str, Optional) Custom filename for the profit plot '.html' file that will be stored
            in the format: 'PlotProfitResults-<output_file_name>.html'. Defaults to 'Strategy + Current DateTime'.
        """

        self.logger.info(Color.title(f'👉 Plotting profit graph for BackTest results'))

        # extend pandas functionality with metrics, etc.
        qs.extend_pandas()

        if strategy is None:
            strategy = self.monigomani_config.config['hyperopt']['strategy']

        backtest_results_file = self.freqtrade_cli.choose_backtest_results_file(choose_results=choose_results)
        backtest_results_path = f'{self.basedir}/user_data/backtest_results/{backtest_results_file}'

        if os.path.isfile(backtest_results_path) is True:
            # Load the 'backtest-result-<timestamp>.json' file as an object and parse it as a dictionary
            file_object = open(backtest_results_path, )
            backtest_results = json.load(file_object)

            if len(backtest_results['strategy'][strategy]['trades']) == 0:
                self.logger.error(Color.red(f'🤷 No trades where done in the given {backtest_results_file} file.\n'
                                            f'Please provide a BackTest results file in which '
                                            f'actual trading has been done!'))
                return None
        else:
            self.logger.error(Color.red(f'🤷 {backtest_results_file} file could not be found.\nPlease make sure that '
                                        f'the provided BackTest results file actually exists!'))
            return None

        if output_file_name is None:
            output_file_name = f'{strategy}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        plot_profit_file_name = f'PlotStatsReports-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/plot/{plot_profit_file_name}.html'

        starting_balance = backtest_results['strategy'][strategy]['starting_balance']
        backtest_trades = pd.DataFrame(backtest_results['strategy'][strategy]['trades'])

        backtest_trades['open_date'] = pd.to_datetime(backtest_trades['open_date'], utc=True, infer_datetime_format=True)
        daily_returns = backtest_trades[['open_date', 'profit_abs']].groupby(pd.Grouper(key="open_date", freq='D')).sum('profit_abs')
        daily_returns['balance'] = np.cumsum(daily_returns['profit_abs']) + starting_balance

        dates = pd.date_range(daily_returns.index[0], daily_returns.index[-1], freq='D').tz_localize(None)

        daily_returns = pd.Series(daily_returns.balance).pct_change(1).values
        returns_time_series = pd.Series(daily_returns, index=pd.to_datetime(list(dates)))

        qs.reports.html(returns=returns_time_series, title=f'{strategy} {backtest_results_file}', output=output_file_path)

        MoniGoManiLogger(self.basedir).post_message(
            username=self.monigomani_config.config['username'],
            message=f'🚀 Fresh **{strategy}** Plot Stats Reports ⬇️', results_paths=[output_file_path])

    def importance_report(self, output_file_name: str = None) -> None:
        """
        Run the TotalOverallSignalImportanceCalculator to create a signal importance report for MoniGoMani

        :param output_file_name: (str, Optional) Custom filename for the SignalImportanceResults '.log' file
            that will be stored in the format: 'SignalImportanceResults-<output_file_name>.log'.
            Defaults to 'MoniGoManiHyperStrategy + Current DateTime'.
        """

        self.logger.info(Color.title(f'👉 Calculating Total Overall Signal Importance Report for MoniGoMani'))

        mgm_config_files = self.monigomani_config.load_config_files()
        if mgm_config_files["mgm-config"] is None:
            self.logger.warning(Color.yellow(f'🤷 No "mgm-config" file found in the "user_data" directory. '
                                             f'Please run: mgm-hurry setup'))
            return None
        elif mgm_config_files["mgm-config-hyperopt"] is None:
            self.logger.warning(Color.yellow(f'🤷 No "mgm-config-hyperopt" file found in the "user_data" directory. '
                                             f'Please run: mgm-hurry hyperopt'))
            return None

        if output_file_name is None:
            output_file_name = f'MoniGoManiHyperStrategy-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        importance_report_file_name = f'SignalImportanceResults-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/importance_results/{importance_report_file_name}.log'

        self.monigomani_cli.run_command(
            f'python3 {self.basedir}/user_data/mgm_tools/TotalOverallSignalImportanceCalculator.py '
            f'-pu {mgm_config_files["mgm-config"]["monigomani_settings"]["precision"]} -cf {output_file_path}')

        MoniGoManiLogger(self.basedir).post_message(
            username=self.monigomani_config.config['username'],
            message=f'🚀 Fresh **MoniGoManiHyperStrategy** Signal Importance Report ⬇️',
            results_paths=[output_file_path])

    def export_csv(self, strategy: str = 'MoniGoManiHyperStrategy',
                   output_file_name: str = None, fthypt: str = None) -> None:
        """
        Export the '.fthypt' results to an easy to interpret/sort/filter '.csv' SpreadSheet.

        :param strategy: Name of the used Strategy, defaults to 'MoniGoManiHyperStrategy'
        :param output_file_name: (str, Optional) Custom filename for the CsvResults '.csv' file
            that will be stored in the format: 'CsvResults-<output_file_name>.csv'.
            Defaults to 'StrategyName + Current DateTime'.
        :param fthypt: (str, Optional) '.fthypt' file to export results from.. If 'true' is passed,
            an interactive prompt will launch to pick an '.fthypt' file of choice. Defaults to latest
        """

        self.logger.info(Color.title(f'👉 Exporting HyperOpt Results to SpreadSheet (.csv) format.'))

        mgm_config_files = self.monigomani_config.load_config_files()
        if mgm_config_files["mgm-config"] is None:
            self.logger.warning(Color.yellow(f'🤷 No "mgm-config" file found in the "user_data" directory. '
                                             f'Please run: mgm-hurry setup'))
            return None

        fthypt_name = None
        fthypt_file_path = None
        if fthypt is not None:
            fthypt_name = self.freqtrade_cli.parse_fthypt_name(fthypt_name=fthypt)
            fthypt_file_path = f'{self.basedir}/user_data/hyperopt_results/{fthypt_name}'

        if output_file_name is None:
            output_file_name = f'MoniGoManiHyperStrategy-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
        csv_results_file_name = f'CsvResults-{output_file_name}'
        output_file_path = f'{self.basedir}/user_data/csv_results/{csv_results_file_name}.csv'

        mgm_config = self.monigomani_config.get_config_filepath('mgm-config')
        command = (f'python3 {self.basedir}/user_data/mgm_tools/ExportCsvResults.py '
                   f'-c {mgm_config} -o {output_file_path}')

        if fthypt_name is not None:
            command += f' -i {fthypt_file_path}'

        self.monigomani_cli.run_command(command=command)
        MoniGoManiLogger(self.basedir).post_message(username=self.monigomani_config.config['username'],
                                                    message=f'🚀 Fresh **{strategy}** SpreadSheet (.csv) Results ⬇️',
                                                    results_paths=[output_file_path])

    def start_trader(self, dry_run: bool = True):
        """
        Start the trader. Your ultimate goal!

        :param dry_run: (bool, Optional): Use dry_run mode. Defaults to True
        """
        self.logger.info(Color.title(f'👉 Starting the trader, '
                                     f'{"in Dry-Run Mode!" if dry_run else "in Live-Run Mode, fingers crossed! 🤞"}'))

        command = (f'{self.monigomani_config.config["ft_binary"]} trade {self.monigomani_config.command_configs()}'
                   f'--strategy {self.monigomani_config.config["hyperopt"]["strategy"]}')

        if dry_run is True:
            command += ' --dry-run'

        self.monigomani_cli.run_command(command)

    def __setup_telegram(self) -> bool:
        """
        Questionnaire to setup Telegram Bot

        :return bool: False if no answers are given, True if all went ok.
        """
        answers = prompt(questions=[{
            'type': 'confirm',
            'message': 'Do you want to also setup your Telegram bot? ',
            'name': 'proceed_telegram',
            'default': True
        }, {
            'type': 'confirm',
            'message': 'Do you want to enable the Telegram Bot?',
            'name': 'enable_telegram',
            'default': True,
            'when': lambda result: result['proceed_telegram']
        }, {
            'type': 'password',
            'name': 'telegram_token',
            'message': 'Please enter your Telegram Bot token: ',
            'default': '',
            'when': lambda result: result['proceed_telegram'] and result['enable_telegram']
        }, {
            'type': 'input',
            'name': 'telegram_chat_id',
            'message': 'Please enter the chat ID: ',
            'default': '',
            'when': lambda result: result['proceed_telegram'] and result['enable_telegram']
        }])

        if answers == {}:
            return False

        if answers.get('proceed_telegram') is True:
            self.monigomani_config.save_telegram_credentials({
                'enable_telegram': answers.get('enable_telegram'),
                'telegram_token': answers.get('telegram_token'),
                'telegram_chat_id': answers.get('telegram_chat_id')
            })

        return True


if __name__ == '__main__':
    try:
        fire.Fire(MGMHurry)
    except KeyboardInterrupt:
        print('😼 KTHXBAI')
        sys.exit(0)