115 lines
3.8 KiB
Python
115 lines
3.8 KiB
Python
import logging
|
|
from operator import itemgetter
|
|
from typing import Any, Dict, List
|
|
|
|
from colorama import init as colorama_init
|
|
|
|
from freqtrade.configuration import setup_utils_configuration
|
|
from freqtrade.exceptions import OperationalException
|
|
from freqtrade.state import RunMode
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def start_hyperopt_list(args: Dict[str, Any]) -> None:
|
|
"""
|
|
List hyperopt epochs previously evaluated
|
|
"""
|
|
from freqtrade.optimize.hyperopt import Hyperopt
|
|
|
|
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
|
|
|
|
only_best = config.get('hyperopt_list_best', False)
|
|
only_profitable = config.get('hyperopt_list_profitable', False)
|
|
print_colorized = config.get('print_colorized', False)
|
|
print_json = config.get('print_json', False)
|
|
no_details = config.get('hyperopt_list_no_details', False)
|
|
no_header = False
|
|
|
|
trials_file = (config['user_data_dir'] /
|
|
'hyperopt_results' / 'hyperopt_results.pickle')
|
|
|
|
# Previous evaluations
|
|
trials = Hyperopt.load_previous_results(trials_file)
|
|
total_epochs = len(trials)
|
|
|
|
trials = _hyperopt_filter_trials(trials, only_best, only_profitable)
|
|
|
|
# TODO: fetch the interval for epochs to print from the cli option
|
|
epoch_start, epoch_stop = 0, None
|
|
|
|
if print_colorized:
|
|
colorama_init(autoreset=True)
|
|
|
|
try:
|
|
# Human-friendly indexes used here (starting from 1)
|
|
for val in trials[epoch_start:epoch_stop]:
|
|
Hyperopt.print_results_explanation(val, total_epochs, not only_best, print_colorized)
|
|
|
|
except KeyboardInterrupt:
|
|
print('User interrupted..')
|
|
|
|
if trials and not no_details:
|
|
sorted_trials = sorted(trials, key=itemgetter('loss'))
|
|
results = sorted_trials[0]
|
|
Hyperopt.print_epoch_details(results, total_epochs, print_json, no_header)
|
|
|
|
|
|
def start_hyperopt_show(args: Dict[str, Any]) -> None:
|
|
"""
|
|
Show details of a hyperopt epoch previously evaluated
|
|
"""
|
|
from freqtrade.optimize.hyperopt import Hyperopt
|
|
|
|
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
|
|
|
|
only_best = config.get('hyperopt_list_best', False)
|
|
only_profitable = config.get('hyperopt_list_profitable', False)
|
|
no_header = config.get('hyperopt_show_no_header', False)
|
|
|
|
trials_file = (config['user_data_dir'] /
|
|
'hyperopt_results' / 'hyperopt_results.pickle')
|
|
|
|
# Previous evaluations
|
|
trials = Hyperopt.load_previous_results(trials_file)
|
|
total_epochs = len(trials)
|
|
|
|
trials = _hyperopt_filter_trials(trials, only_best, only_profitable)
|
|
trials_epochs = len(trials)
|
|
|
|
n = config.get('hyperopt_show_index', -1)
|
|
if n > trials_epochs:
|
|
raise OperationalException(
|
|
f"The index of the epoch to show should be less than {trials_epochs + 1}.")
|
|
if n < -trials_epochs:
|
|
raise OperationalException(
|
|
f"The index of the epoch to show should be greater than {-trials_epochs - 1}.")
|
|
|
|
# Translate epoch index from human-readable format to pythonic
|
|
if n > 0:
|
|
n -= 1
|
|
|
|
print_json = config.get('print_json', False)
|
|
|
|
if trials:
|
|
val = trials[n]
|
|
Hyperopt.print_epoch_details(val, total_epochs, print_json, no_header,
|
|
header_str="Epoch details")
|
|
|
|
|
|
def _hyperopt_filter_trials(trials: List, only_best: bool, only_profitable: bool) -> List:
|
|
"""
|
|
Filter our items from the list of hyperopt results
|
|
"""
|
|
if only_best:
|
|
trials = [x for x in trials if x['is_best']]
|
|
if only_profitable:
|
|
trials = [x for x in trials if x['results_metrics']['profit'] > 0]
|
|
|
|
logger.info(f"{len(trials)} " +
|
|
("best " if only_best else "") +
|
|
("profitable " if only_profitable else "") +
|
|
"epochs found.")
|
|
|
|
return trials
|