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Fix some tests
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c3d7411668
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@ -181,7 +181,7 @@ class Hyperopt:
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"""
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Display details of the hyperopt result
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"""
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params = results['params_details']
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params = results.get('params_details', {})
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# Default header string
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if header_str is None:
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@ -335,6 +335,11 @@ class Hyperopt:
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'end_date': max_date,
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}
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)
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return self._get_results_dict(backtesting_results, min_date, max_date,
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params_dict, params_details)
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def _get_results_dict(self, backtesting_results, min_date, max_date,
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params_dict, params_details):
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results_metrics = self._calculate_results_metrics(backtesting_results)
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results_explanation = self._format_results_explanation_string(results_metrics)
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@ -357,8 +357,9 @@ def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results)
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def test_log_results_if_loss_improves(hyperopt, capsys) -> None:
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hyperopt.current_best_loss = 2
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hyperopt.total_epochs = 2
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hyperopt.log_results(
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hyperopt.print_results(
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{
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'is_best': False,
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'loss': 1,
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'current_epoch': 2, # This starts from 1 (in a human-friendly manner)
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'results_explanation': 'foo.',
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@ -371,8 +372,9 @@ def test_log_results_if_loss_improves(hyperopt, capsys) -> None:
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def test_no_log_if_loss_does_not_improve(hyperopt, caplog) -> None:
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hyperopt.current_best_loss = 2
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hyperopt.log_results(
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hyperopt.print_results(
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{
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'is_best': False,
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'loss': 3,
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'current_epoch': 1,
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}
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@ -400,8 +402,8 @@ def test_save_trials_saves_trials(mocker, hyperopt, testdatadir, caplog) -> None
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def test_read_trials_returns_trials_file(mocker, hyperopt, testdatadir, caplog) -> None:
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trials = create_trials(mocker, hyperopt, testdatadir)
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mock_load = mocker.patch('freqtrade.optimize.hyperopt.load', return_value=trials)
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hyperopt_trial = hyperopt.read_trials()
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trials_file = testdatadir / 'optimize' / 'ut_trials.pickle'
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hyperopt_trial = hyperopt._read_trials(trials_file)
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assert log_has(f"Reading Trials from '{trials_file}'", caplog)
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assert hyperopt_trial == trials
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mock_load.assert_called_once()
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@ -472,8 +474,8 @@ def test_format_results(hyperopt):
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]
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labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
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df = pd.DataFrame.from_records(trades, columns=labels)
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result = hyperopt.format_results(df)
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results_metrics = hyperopt._calculate_results_metrics(df)
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result = hyperopt._format_explanation_string(results_metrics, 1)
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assert result.find(' 66.67%')
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assert result.find('Total profit 1.00000000 BTC')
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assert result.find('2.0000Σ %')
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@ -485,7 +487,8 @@ def test_format_results(hyperopt):
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('XPR/EUR', -1, -2, -246)
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]
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df = pd.DataFrame.from_records(trades, columns=labels)
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result = hyperopt.format_results(df)
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results_metrics = hyperopt._calculate_results_metrics(df)
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result = hyperopt._format_explanation_string(results_metrics, 1)
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assert result.find('Total profit 1.00000000 EUR')
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@ -594,10 +597,38 @@ def test_generate_optimizer(mocker, default_conf) -> None:
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}
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response_expected = {
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'loss': 1.9840569076926293,
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'results_explanation': (' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
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'results_explanation': (' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
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'( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). Avg duration 100.0 mins.'
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).encode(locale.getpreferredencoding(), 'replace').decode('utf-8'),
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'params': optimizer_param,
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'params_details': {'buy': {'adx-enabled': False,
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'adx-value': 0,
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'fastd-enabled': True,
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'fastd-value': 35,
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'mfi-enabled': False,
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'mfi-value': 0,
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'rsi-enabled': False,
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'rsi-value': 0,
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'trigger': 'macd_cross_signal'},
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'roi': {0: 0.12000000000000001,
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20.0: 0.02,
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50.0: 0.01,
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110.0: 0},
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'sell': {'sell-adx-enabled': False,
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'sell-adx-value': 0,
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'sell-fastd-enabled': True,
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'sell-fastd-value': 75,
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'sell-mfi-enabled': False,
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'sell-mfi-value': 0,
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'sell-rsi-enabled': False,
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'sell-rsi-value': 0,
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'sell-trigger': 'macd_cross_signal'},
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'stoploss': -0.4},
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'params_dict': optimizer_param,
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'results_metrics': {'avg_profit': 2.3117,
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'duration': 100.0,
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'profit': 2.3117,
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'total_profit': 0.000233,
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'trade_count': 1},
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'total_profit': 0.00023300
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}
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@ -692,7 +723,8 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
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parallel = mocker.patch(
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'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
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MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
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MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {},
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'params_details': {'roi': {}, 'stoploss': None}}])
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)
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patch_exchange(mocker)
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