cleanup superceded code
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@ -696,28 +696,19 @@ class FreqaiDataKitchen:
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time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp()
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if trained_timerange.startts != 0:
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# trained_timerange = TimeRange.parse_timerange(training_timerange)
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# keep hour available incase user wants to train multiple times per day
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# training_timerange is a str for day range only, so we add the extra hours
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# original_stop_seconds = trained_timerange.stopts
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# trained_timerange.stopts += int(timestamp - original_stop_seconds)
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# trained_timerange.startts += int(timestamp - original_stop_seconds)
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elapsed_time = (time - trained_timerange.stopts) / SECONDS_IN_DAY
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retrain = elapsed_time > self.freqai_config['backtest_period']
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if retrain:
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trained_timerange.startts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY
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trained_timerange.stopts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY
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else: # user passed no live_trained_timerange in config
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trained_timerange = TimeRange.parse_timerange("20000101-20000201") # arbitrary date
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trained_timerange = TimeRange()
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trained_timerange.startts = int(time - self.freqai_config['train_period'] *
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SECONDS_IN_DAY)
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trained_timerange.stopts = int(time)
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retrain = True
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timestamp = trained_timerange.stopts
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# start = datetime.datetime.utcfromtimestamp(trained_timerange.startts)
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# stop = datetime.datetime.utcfromtimestamp(trained_timerange.stopts)
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# new_trained_timerange_str = start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d")
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if retrain:
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coin, _ = metadata['pair'].split("/")
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