use ujson to load ticker files 30% faster from disk.
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@ -10,9 +10,16 @@ import arrow
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from freqtrade import misc, constants, OperationalException
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from freqtrade.exchange import Exchange
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from freqtrade.arguments import TimeRange
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import importlib
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ujson_found = importlib.util.find_spec("ujson")
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if ujson_found is not None:
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import ujson
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logger = logging.getLogger(__name__)
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if ujson_found is not None:
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logger.debug('Loaded UltraJson ujson in optimize.py')
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def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
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if not tickerlist:
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@ -63,11 +70,17 @@ def load_tickerdata_file(
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if os.path.isfile(gzipfile):
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logger.debug('Loading ticker data from file %s', gzipfile)
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with gzip.open(gzipfile) as tickerdata:
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pairdata = json.load(tickerdata)
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if ujson_found is not None:
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pairdata = ujson.load(tickerdata, precise_float=True)
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else:
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pairdata = json.load(tickerdata)
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elif os.path.isfile(file):
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logger.debug('Loading ticker data from file %s', file)
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with open(file) as tickerdata:
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pairdata = json.load(tickerdata)
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if ujson_found is not None:
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pairdata = ujson.load(tickerdata, precise_float=True)
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else:
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pairdata = json.load(tickerdata)
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else:
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return None
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@ -163,7 +176,10 @@ def load_cached_data_for_updating(filename: str,
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# read the cached file
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if os.path.isfile(filename):
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with open(filename, "rt") as file:
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data = json.load(file)
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if ujson_found is not None:
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data = ujson.load(file, precise_float=True)
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else:
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data = json.load(file)
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# remove the last item, because we are not sure if it is correct
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# it could be fetched when the candle was incompleted
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if data:
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@ -226,4 +242,4 @@ def download_backtesting_testdata(datadir: str,
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logger.debug("New Start: %s", misc.format_ms_time(data[0][0]))
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logger.debug("New End: %s", misc.format_ms_time(data[-1][0]))
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misc.file_dump_json(filename, data)
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misc.file_dump_json(filename, data)
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@ -23,3 +23,10 @@ scikit-optimize==0.5.2
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# Required for plotting data
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#plotly==3.0.0
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# find first, C search in arrays
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py_find_1st==1.1.1
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#Load ticker files 30% faster
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ujson==1.35
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