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add lock to any historic data access
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@ -858,14 +858,16 @@ class FreqaiDataKitchen:
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dataframe: DataFrame = strategy provided dataframe
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"""
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history_data = self.data_drawer.historic_data
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with self.data_drawer.history_lock:
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history_data = self.data_drawer.historic_data
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for pair in self.all_pairs:
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for tf in self.freqai_config.get('timeframes'):
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lh = len(history_data[pair][tf].index)
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history_data[pair][tf].loc[lh] = strategy.dp.get_pair_dataframe(pair, tf).iloc[-1]
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for pair in self.all_pairs:
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for tf in self.freqai_config.get('timeframes'):
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lh = len(history_data[pair][tf].index)
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history_data[pair][tf].loc[lh] = strategy.dp.get_pair_dataframe(pair,
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tf).iloc[-1]
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logger.info(f'Length of history data {len(history_data[pair][tf])}')
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logger.info(f'Length of history data {len(history_data[pair][tf])}')
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def set_all_pairs(self) -> None:
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@ -405,8 +405,9 @@ class IFreqaiModel(ABC):
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# dh.download_new_data_for_retraining(data_load_timerange, metadata, strategy)
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# corr_dataframes, base_dataframes = dh.load_pairs_histories(data_load_timerange,
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# metadata)
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corr_dataframes, base_dataframes = dh.get_base_and_corr_dataframes(data_load_timerange,
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metadata)
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with self.data_drawer.history_lock:
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corr_dataframes, base_dataframes = dh.get_base_and_corr_dataframes(data_load_timerange,
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metadata)
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# protecting from common benign errors associated with grabbing new data from exchange:
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try:
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