fix follower bug
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@ -638,8 +638,8 @@ class FreqaiDataKitchen:
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)
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logger.info(
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"DI tossed %s predictions for being too far from training data",
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len(do_predict) - do_predict.sum(),
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f'DI tossed {len(do_predict) - do_predict.sum():.2f} predictions for '
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'being too far from training data'
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)
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self.do_predict += do_predict
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@ -743,7 +743,7 @@ class FreqaiDataKitchen:
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logger.warning('FreqAI could not detect max timeframe and therefore may not '
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'download the proper amount of data for training')
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logger.info(f'Extending data download by {additional_seconds/SECONDS_IN_DAY} days')
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logger.info(f'Extending data download by {additional_seconds/SECONDS_IN_DAY:.2f} days')
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if trained_timestamp != 0:
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elapsed_time = (time - trained_timestamp) / SECONDS_IN_DAY
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@ -770,12 +770,13 @@ class FreqaiDataKitchen:
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data_load_timerange.stopts = int(time)
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retrain = True
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logger.info(f'Total data download needed '
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f'{(data_load_timerange.stopts - data_load_timerange.startts)/SECONDS_IN_DAY} '
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' days')
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logger.info(f'Total training timerange '
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f'{(trained_timerange.stopts - trained_timerange.startts)/SECONDS_IN_DAY} '
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' days')
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# logger.info(
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# f'Total data download needed '
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# f'{(data_load_timerange.stopts - data_load_timerange.startts)/SECONDS_IN_DAY:.2f}'
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# ' days')
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# logger.info(f'Total training timerange '
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# f'{(trained_timerange.stopts - trained_timerange.startts)/SECONDS_IN_DAY} '
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# ' days')
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# if retrain:
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# coin, _ = metadata['pair'].split("/")
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@ -861,11 +862,10 @@ class FreqaiDataKitchen:
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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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history_data[pair][tf] = pd.concat(
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[history_data[pair][tf],
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strategy.dp.get_pair_dataframe(pair, tf).iloc[-1]],
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axis=0
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)
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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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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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@ -226,7 +226,7 @@ class IFreqaiModel(ABC):
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# if trainable, check if model needs training, if so compute new timerange,
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# then save model and metadata.
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# if not trainable, load existing data
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if (trainable and not self.follow_mode) or coin_first:
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if (trainable or coin_first) and not self.follow_mode:
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file_exists = False
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if trained_timestamp != 0: # historical model available
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@ -416,8 +416,8 @@ class IFreqaiModel(ABC):
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metadata)
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unfiltered_dataframe = dh.slice_dataframe(new_trained_timerange, unfiltered_dataframe)
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except Exception:
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logger.warning('Mismatched sizes encountered in strategy')
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except Exception as err:
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logger.exception(err)
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# self.data_drawer.pair_to_end_of_training_queue(metadata['pair'])
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self.training_on_separate_thread = False
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self.retrain = False
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