import logging from operator import itemgetter from typing import Any, Dict from colorama import init as colorama_init from freqtrade.configuration import setup_utils_configuration from freqtrade.data.btanalysis import get_latest_hyperopt_file from freqtrade.enums import RunMode from freqtrade.exceptions import OperationalException from freqtrade.optimize.optimize_reports import show_backtest_result logger = logging.getLogger(__name__) def start_hyperopt_list(args: Dict[str, Any]) -> None: """ List hyperopt epochs previously evaluated """ from freqtrade.optimize.hyperopt_tools import HyperoptTools config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE) print_colorized = config.get('print_colorized', False) print_json = config.get('print_json', False) export_csv = config.get('export_csv', None) no_details = config.get('hyperopt_list_no_details', False) no_header = False results_file = get_latest_hyperopt_file( config['user_data_dir'] / 'hyperopt_results', config.get('hyperoptexportfilename')) # Previous evaluations epochs, total_epochs = HyperoptTools.load_filtered_results(results_file, config) if print_colorized: colorama_init(autoreset=True) if not export_csv: try: print(HyperoptTools.get_result_table(config, epochs, total_epochs, not config.get('hyperopt_list_best', False), print_colorized, 0)) except KeyboardInterrupt: print('User interrupted..') if epochs and not no_details: sorted_epochs = sorted(epochs, key=itemgetter('loss')) results = sorted_epochs[0] HyperoptTools.show_epoch_details(results, total_epochs, print_json, no_header) if epochs and export_csv: HyperoptTools.export_csv_file( config, epochs, export_csv ) def start_hyperopt_show(args: Dict[str, Any]) -> None: """ Show details of a hyperopt epoch previously evaluated """ from freqtrade.optimize.hyperopt_tools import HyperoptTools config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE) print_json = config.get('print_json', False) no_header = config.get('hyperopt_show_no_header', False) results_file = get_latest_hyperopt_file( config['user_data_dir'] / 'hyperopt_results', config.get('hyperoptexportfilename')) n = config.get('hyperopt_show_index', -1) # Previous evaluations epochs, total_epochs = HyperoptTools.load_filtered_results(results_file, config) filtered_epochs = len(epochs) if n > filtered_epochs: raise OperationalException( f"The index of the epoch to show should be less than {filtered_epochs + 1}.") if n < -filtered_epochs: raise OperationalException( f"The index of the epoch to show should be greater than {-filtered_epochs - 1}.") # Translate epoch index from human-readable format to pythonic if n > 0: n -= 1 if epochs: val = epochs[n] metrics = val['results_metrics'] if 'strategy_name' in metrics: strategy_name = metrics['strategy_name'] show_backtest_result(strategy_name, metrics, metrics['stake_currency']) HyperoptTools.try_export_params(config, strategy_name, val) HyperoptTools.show_epoch_details(val, total_epochs, print_json, no_header, header_str="Epoch details")