Adjust test
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@ -475,7 +475,21 @@ def test_format_results(hyperopt):
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labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
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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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df = pd.DataFrame.from_records(trades, columns=labels)
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results_metrics = hyperopt._calculate_results_metrics(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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results_explanation = hyperopt._format_results_explanation_string(results_metrics)
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total_profit = results_metrics['total_profit']
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results = {
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'loss': 0.0,
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'params_dict': None,
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'params_details': None,
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'results_metrics': results_metrics,
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'results_explanation': results_explanation,
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'total_profit': total_profit,
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'current_epoch': 1,
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'is_initial_point': True,
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}
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result = hyperopt._format_explanation_string(results, 1)
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assert result.find(' 66.67%')
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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('Total profit 1.00000000 BTC')
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assert result.find('2.0000Σ %')
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assert result.find('2.0000Σ %')
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@ -488,7 +502,8 @@ def test_format_results(hyperopt):
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]
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]
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df = pd.DataFrame.from_records(trades, columns=labels)
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df = pd.DataFrame.from_records(trades, columns=labels)
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results_metrics = hyperopt._calculate_results_metrics(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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results['total_profit'] = results_metrics['total_profit']
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result = hyperopt._format_explanation_string(results, 1)
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assert result.find('Total profit 1.00000000 EUR')
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assert result.find('Total profit 1.00000000 EUR')
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