freqtrade_origin/freqtrade/commands/hyperopt_commands.py

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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
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from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.optimize.optimize_reports import show_backtest_result
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logger = logging.getLogger(__name__)
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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)
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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(
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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)
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if not export_csv:
try:
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print(
HyperoptTools.get_result_table(
config,
epochs,
total_epochs,
not config.get("hyperopt_list_best", False),
print_colorized,
0,
)
)
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except KeyboardInterrupt:
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print("User interrupted..")
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if epochs and not no_details:
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sorted_epochs = sorted(epochs, key=itemgetter("loss"))
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results = sorted_epochs[0]
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HyperoptTools.show_epoch_details(results, total_epochs, print_json, no_header)
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if epochs and export_csv:
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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)
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print_json = config.get("print_json", False)
no_header = config.get("hyperopt_show_no_header", False)
results_file = get_latest_hyperopt_file(
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config["user_data_dir"] / "hyperopt_results", config.get("hyperoptexportfilename")
)
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n = config.get("hyperopt_show_index", -1)
# Previous evaluations
epochs, total_epochs = HyperoptTools.load_filtered_results(results_file, config)
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filtered_epochs = len(epochs)
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if n > filtered_epochs:
raise OperationalException(
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f"The index of the epoch to show should be less than {filtered_epochs + 1}."
)
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if n < -filtered_epochs:
raise OperationalException(
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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
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if epochs:
val = epochs[n]
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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)
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HyperoptTools.show_epoch_details(
val, total_epochs, print_json, no_header, header_str="Epoch details"
)