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cleanup superceded code

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This commit is contained in:
robcaulk 2022-05-23 00:10:36 +02:00
parent af0cc21af9
commit 3587bd82e1
1 changed files with 1 additions and 10 deletions
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11
freqtrade/freqai/data_kitchen.py
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@ -696,28 +696,19 @@ class FreqaiDataKitchen:
time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp() time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp()
if trained_timerange.startts != 0: if trained_timerange.startts != 0:
# trained_timerange = TimeRange.parse_timerange(training_timerange)
# keep hour available incase user wants to train multiple times per day
# training_timerange is a str for day range only, so we add the extra hours
# original_stop_seconds = trained_timerange.stopts
# trained_timerange.stopts += int(timestamp - original_stop_seconds)
# trained_timerange.startts += int(timestamp - original_stop_seconds)
elapsed_time = (time - trained_timerange.stopts) / SECONDS_IN_DAY elapsed_time = (time - trained_timerange.stopts) / SECONDS_IN_DAY
retrain = elapsed_time > self.freqai_config['backtest_period'] retrain = elapsed_time > self.freqai_config['backtest_period']
if retrain: if retrain:
trained_timerange.startts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY trained_timerange.startts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY
trained_timerange.stopts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY trained_timerange.stopts += self.freqai_config['backtest_period'] * SECONDS_IN_DAY
else: # user passed no live_trained_timerange in config else: # user passed no live_trained_timerange in config
trained_timerange = TimeRange.parse_timerange("20000101-20000201") # arbitrary date trained_timerange = TimeRange()
trained_timerange.startts = int(time - self.freqai_config['train_period'] * trained_timerange.startts = int(time - self.freqai_config['train_period'] *
SECONDS_IN_DAY) SECONDS_IN_DAY)
trained_timerange.stopts = int(time) trained_timerange.stopts = int(time)
retrain = True retrain = True
timestamp = trained_timerange.stopts timestamp = trained_timerange.stopts
# start = datetime.datetime.utcfromtimestamp(trained_timerange.startts)
# stop = datetime.datetime.utcfromtimestamp(trained_timerange.stopts)
# new_trained_timerange_str = start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d")
if retrain: if retrain:
coin, _ = metadata['pair'].split("/") coin, _ = metadata['pair'].split("/")