start frequi with historical data if available
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@ -229,6 +229,20 @@ class FreqaiDataDrawer:
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# dynamic df returned to strategy and plotted in frequi
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# dynamic df returned to strategy and plotted in frequi
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mrv_df = self.model_return_values[pair] = pd.DataFrame()
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mrv_df = self.model_return_values[pair] = pd.DataFrame()
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# if user reused `idenfitier` in config and has historical predictions collected, loadthem
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# so that frequi remains uninterrupted after a crash
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hist_df = self.historic_predictions
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if pair in hist_df:
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len_diff = len(hist_df[pair].index) - len(pred_df.index)
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if len_diff < 0:
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df_concat = pd.concat([pred_df.iloc[:abs(len_diff)], hist_df[pair]],
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ignore_index=True, keys=hist_df[pair].keys())
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else:
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df_concat = hist_df[pair].tail(len(pred_df.index))
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df_concat = df_concat.fillna(0)
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self.model_return_values[pair] = df_concat
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else:
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for label in dk.label_list:
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for label in dk.label_list:
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mrv_df[label] = pred_df[label]
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mrv_df[label] = pred_df[label]
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mrv_df[f"{label}_mean"] = dk.data["labels_mean"][label]
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mrv_df[f"{label}_mean"] = dk.data["labels_mean"][label]
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