def test_resuming_previous_hyperopt_results_succeeds(mocker):
import freqtrade.optimize.hyperopt as hyperopt
trials = create_trials(mocker)
mocker.patch('freqtrade.optimize.hyperopt.TRIALS',
return_value=trials)
mocker.patch('freqtrade.optimize.hyperopt.os.path.exists',
return_value=True)
mocker.patch('freqtrade.optimize.hyperopt.len',
return_value=len(trials.results))
mock_read = mocker.patch('freqtrade.optimize.hyperopt.read_trials',
return_value=trials)
mock_save = mocker.patch('freqtrade.optimize.hyperopt.save_trials',
return_value=None)
mocker.patch('freqtrade.optimize.hyperopt.sorted',
return_value=trials.results)
mocker.patch('freqtrade.optimize.preprocess')
mocker.patch('freqtrade.optimize.load_data')
mocker.patch('freqtrade.optimize.hyperopt.fmin',
return_value={})
args = mocker.Mock(epochs=1,
config='config.json.example',
mongodb=False)
start(args)
mock_read.assert_called_once()
mock_save.assert_called_once()
current_tries = hyperopt._CURRENT_TRIES
total_tries = hyperopt.TOTAL_TRIES
assert current_tries == len(trials.results)
assert total_tries == (current_tries + len(trials.results))
def test_start_uses_mongotrials(mocker):
mock_mongotrials = mocker.patch('freqtrade.optimize.hyperopt.MongoTrials',
return_value=create_trials(mocker))
mocker.patch('freqtrade.optimize.preprocess')
mocker.patch('freqtrade.optimize.load_data')
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
args = mocker.Mock(epochs=1, config='config.json.example', mongodb=True)
start(args)
mock_mongotrials.assert_called_once()
def test_start_calls_fmin(mocker):
trials = create_trials(mocker)
mocker.patch('freqtrade.optimize.hyperopt.TRIALS', return_value=trials)
mocker.patch('freqtrade.optimize.hyperopt.sorted',
return_value=trials.results)
mocker.patch('freqtrade.optimize.preprocess')
mocker.patch('freqtrade.optimize.load_data')
mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
args = mocker.Mock(epochs=1, config='config.json.example', mongodb=False)
start(args)
mock_fmin.assert_called_once()
def test_fmin_throw_value_error(mocker, caplog):
mocker.patch('freqtrade.optimize.hyperopt.MongoTrials', return_value=create_trials(mocker))
mocker.patch('freqtrade.optimize.preprocess')
mocker.patch('freqtrade.optimize.load_data')
mocker.patch('freqtrade.optimize.hyperopt.fmin', side_effect=ValueError())
args = mocker.Mock(epochs=1, config='config.json.example')
start(args)
exists = [
'Best Result:',
'Sorry, Hyperopt was not able to find good parameters. Please try with more epochs '
'(param: -e).',
]
for line in exists:
assert line in caplog.text
def test_start_failure(mocker, default_conf, caplog) -> None:
start_mock = MagicMock()
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
patch_exchange(mocker)
args = [
'--config', 'config.json', '--strategy', 'TestStrategy', 'hyperopt',
'--epochs', '5'
]
args = get_args(args)
StrategyResolver({'strategy': 'DefaultStrategy'})
with pytest.raises(ValueError):
start(args)
assert log_has("Please don't use --strategy for hyperopt.",
caplog.record_tuples)
def test_start(mocker, default_conf, caplog) -> None:
start_mock = MagicMock()
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
patch_exchange(mocker)
args = [
'--config', 'config.json', '--strategy', 'DefaultStrategy', 'hyperopt',
'--epochs', '5'
]
args = get_args(args)
StrategyResolver({'strategy': 'DefaultStrategy'})
start(args)
import pprint
pprint.pprint(caplog.record_tuples)
assert log_has('Starting freqtrade in Hyperopt mode', caplog.record_tuples)
assert start_mock.call_count == 1
def test_start(mocker, default_conf, caplog) -> None:
"""
Test start() function
"""
start_mock = MagicMock()
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
mocker.patch('freqtrade.configuration.open',
mocker.mock_open(read_data=json.dumps(default_conf)))
args = [
'--config', 'config.json', '--strategy', 'DefaultStrategy', 'hyperopt',
'--epochs', '5'
]
args = get_args(args)
StrategyResolver({'strategy': 'DefaultStrategy'})
start(args)
import pprint
pprint.pprint(caplog.record_tuples)
assert log_has('Starting freqtrade in Hyperopt mode', caplog.record_tuples)
assert start_mock.call_count == 1
def test_fmin_best_results(mocker, caplog):
fmin_result = {
"adx": 1,
"adx-value": 15.0,
"fastd": 1,
"fastd-value": 40.0,
"green_candle": 1,
"mfi": 0,
"over_sar": 0,
"rsi": 1,
"rsi-value": 37.0,
"trigger": 2,
"uptrend_long_ema": 1,
"uptrend_short_ema": 0,
"uptrend_sma": 0,
"stoploss": -0.1,
}
mocker.patch('freqtrade.optimize.hyperopt.MongoTrials', return_value=create_trials(mocker))
mocker.patch('freqtrade.optimize.preprocess')
mocker.patch('freqtrade.optimize.load_data')
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
args = mocker.Mock(epochs=1, config='config.json.example')
start(args)
exists = [
'Best parameters',
'"adx": {\n "enabled": true,\n "value": 15.0\n },',
'"green_candle": {\n "enabled": true\n },',
'"mfi": {\n "enabled": false\n },',
'"trigger": {\n "type": "ao_cross_zero"\n },',
'"stoploss": -0.1',
]
for line in exists:
assert line in caplog.text