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Merge pull request #2142 from hroff-1902/hyperopt-print-json

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Hyperopt: --print-json option
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Matthias 2019-08-16 11:08:54 +02:00 committed by GitHub
commit 161db08745
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5 changed files with 123 additions and 15 deletions
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2
freqtrade/configuration/arguments.py
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@ -22,7 +22,7 @@ ARGS_BACKTEST = ARGS_COMMON_OPTIMIZE + ["position_stacking", "use_max_market_pos
ARGS_HYPEROPT = ARGS_COMMON_OPTIMIZE + ["hyperopt", "hyperopt_path",
"position_stacking", "epochs", "spaces",
"use_max_market_positions", "print_all",
"print_colorized", "hyperopt_jobs",
"print_colorized", "print_json", "hyperopt_jobs",
"hyperopt_random_state", "hyperopt_min_trades",
"hyperopt_continue", "hyperopt_loss"]

6
freqtrade/configuration/cli_options.py
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@ -198,6 +198,12 @@ AVAILABLE_CLI_OPTIONS = {
action='store_false',
default=True,
),
"print_json": Arg(
'--print-json',
help='Print best result detailization in JSON format.',
action='store_true',
default=False,
),
"hyperopt_jobs": Arg(
'-j', '--job-workers',
help='The number of concurrently running jobs for hyperoptimization '

3
freqtrade/configuration/configuration.py
View File

@ -242,6 +242,9 @@ class Configuration(object):
else:
config.update({'print_colorized': True})
self._args_to_config(config, argname='print_json',
logstring='Parameter --print-json detected ...')
self._args_to_config(config, argname='hyperopt_jobs',
logstring='Parameter -j/--job-workers detected: {}')

27
freqtrade/optimize/hyperopt.py
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@ -8,11 +8,14 @@ import logging
import os
import sys
from collections import OrderedDict
from operator import itemgetter
from pathlib import Path
from pprint import pprint
from typing import Any, Dict, List, Optional
import rapidjson
from colorama import init as colorama_init
from colorama import Fore, Style
from joblib import Parallel, delayed, dump, load, wrap_non_picklable_objects, cpu_count
@ -133,9 +136,31 @@ class Hyperopt(Backtesting):
results = sorted(self.trials, key=itemgetter('loss'))
best_result = results[0]
params = best_result['params']
log_str = self.format_results_logstring(best_result)
print(f"\nBest result:\n\n{log_str}\n")
if self.config.get('print_json'):
result_dict: Dict = {}
if self.has_space('buy') or self.has_space('sell'):
result_dict['params'] = {}
if self.has_space('buy'):
result_dict['params'].update({p.name: params.get(p.name)
for p in self.hyperopt_space('buy')})
if self.has_space('sell'):
result_dict['params'].update({p.name: params.get(p.name)
for p in self.hyperopt_space('sell')})
if self.has_space('roi'):
# Convert keys in min_roi dict to strings because
# rapidjson cannot dump dicts with integer keys...
# OrderedDict is used to keep the numeric order of the items
# in the dict.
result_dict['minimal_roi'] = OrderedDict(
(str(k), v) for k, v in self.custom_hyperopt.generate_roi_table(params).items()
)
if self.has_space('stoploss'):
result_dict['stoploss'] = params.get('stoploss')
print(rapidjson.dumps(result_dict, default=str, number_mode=rapidjson.NM_NATIVE))
else:
if self.has_space('buy'):
print('Buy hyperspace params:')
pprint({p.name: params.get(p.name) for p in self.hyperopt_space('buy')},

74
freqtrade/tests/optimize/test_hyperopt.py
View File

@ -618,3 +618,77 @@ def test_continue_hyperopt(mocker, default_conf, caplog):
assert unlinkmock.call_count == 0
assert log_has(f"Continuing on previous hyperopt results.", caplog)
def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch(
'freqtrade.optimize.hyperopt.get_timeframe',
MagicMock(return_value=(datetime(2017, 12, 10), datetime(2017, 12, 13)))
)
parallel = mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'epochs': 1,
'timerange': None,
'spaces': 'all',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt = Hyperopt(default_conf)
hyperopt.strategy.tickerdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
hyperopt.start()
parallel.assert_called_once()
out, err = capsys.readouterr()
assert '{"params":{"mfi-value":null,"fastd-value":null,"adx-value":null,"rsi-value":null,"mfi-enabled":null,"fastd-enabled":null,"adx-enabled":null,"rsi-enabled":null,"trigger":null,"sell-mfi-value":null,"sell-fastd-value":null,"sell-adx-value":null,"sell-rsi-value":null,"sell-mfi-enabled":null,"sell-fastd-enabled":null,"sell-adx-enabled":null,"sell-rsi-enabled":null,"sell-trigger":null},"minimal_roi":{},"stoploss":null}' in out # noqa: E501
assert dumper.called
# Should be called twice, once for tickerdata, once to save evaluations
assert dumper.call_count == 2
def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch(
'freqtrade.optimize.hyperopt.get_timeframe',
MagicMock(return_value=(datetime(2017, 12, 10), datetime(2017, 12, 13)))
)
parallel = mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'epochs': 1,
'timerange': None,
'spaces': 'roi stoploss',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt = Hyperopt(default_conf)
hyperopt.strategy.tickerdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
hyperopt.start()
parallel.assert_called_once()
out, err = capsys.readouterr()
assert '{"minimal_roi":{},"stoploss":null}' in out
assert dumper.called
# Should be called twice, once for tickerdata, once to save evaluations
assert dumper.call_count == 2