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Enhance ohlcv_convert method

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This commit is contained in:
Matthias 2019-12-25 10:28:25 +01:00
parent 018e270336
commit d804372d74
1 changed files with 20 additions and 11 deletions
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31
freqtrade/utils.py
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@ -252,11 +252,12 @@ def convert_trades_format(config: Dict[str, Any], convert_from: str, convert_to:
if 'pairs' not in config:
config['pairs'] = SrcClass.trades_get_pairs(Path(config['datadir']))
logger.info(f"Converting trades for {config['pairs']}")
logger.info(f"Converting trades for {config['pairs']}")
for pair in config['pairs']:
src = SrcClass(Path(config['datadir'], pair))
trg = TrgClass(Path(config['datadir'], pair))
print(pair)
src = SrcClass(Path(config['datadir']), pair)
trg = TrgClass(Path(config['datadir']), pair)
data = src.trades_load()
logger.info(f"Converting {len(data)} trades for {pair}")
trg.trades_store(data)
@ -269,17 +270,25 @@ def convert_ohlcv_format(config: Dict[str, Any], convert_from: str, convert_to:
"""
SrcClass = get_datahandlerclass(convert_from)
TrgClass = get_datahandlerclass(convert_to)
timeframes = config.get('timeframes', [config.get('ticker_interval')])
logger.info(f"Converting OHLCV for timeframe {timeframes}")
if 'pairs' not in config:
config['pairs'] = SrcClass.ohclv_get_pairs(Path(config['datadir']), config['ticker_interval'])
logger.info(f"Converting OHLCV for {config['pairs']}")
config['pairs'] = []
# Check timeframes or fall back to ticker_interval.
for timeframe in timeframes:
config['pairs'].extend(SrcClass.ohlcv_get_pairs(Path(config['datadir']),
timeframe))
logger.info(f"Converting OHLCV for {config['pairs']}")
for pair in config['pairs']:
src = SrcClass(Path(config['datadir']), pair)
trg = TrgClass(Path(config['datadir']), pair)
data = src.ohlcv_load()
logger.info(f"Converting {len(data)} candles for {pair}")
trg.ohlcv_store(data)
for timeframe in timeframes:
for pair in config['pairs']:
src = SrcClass(Path(config['datadir']), pair)
trg = TrgClass(Path(config['datadir']), pair)
data = src.ohlcv_load(timeframe)
logger.info(f"Converting {len(data)} candles for {pair}")
# trg.ohlcv_store(data)
def start_convert_data(args: Dict[str, Any], ohlcv: bool = True) -> None: