import logging from operator import itemgetter from typing import Any from freqtrade.enums import RunMode from freqtrade.exceptions import OperationalException logger = logging.getLogger(__name__) def start_hyperopt_list(args: dict[str, Any]) -> None: """ List hyperopt epochs previously evaluated """ from freqtrade.configuration import setup_utils_configuration from freqtrade.data.btanalysis import get_latest_hyperopt_file from freqtrade.optimize.hyperopt_output import HyperoptOutput 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") 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 not export_csv: try: h_out = HyperoptOutput() h_out.add_data( config, epochs, total_epochs, not config.get("hyperopt_list_best", False), ) h_out.print(print_colorized=print_colorized) 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.configuration import setup_utils_configuration from freqtrade.data.btanalysis import get_latest_hyperopt_file from freqtrade.optimize.hyperopt_tools import HyperoptTools from freqtrade.optimize.optimize_reports import show_backtest_result 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"], config.get("backtest_breakdown", []), ) HyperoptTools.try_export_params(config, strategy_name, val) HyperoptTools.show_epoch_details( val, total_epochs, print_json, no_header, header_str="Epoch details" )