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Add fallback to load 1M files as well as 1Mo files

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This commit is contained in:
Matthias
2022-05-01 19:51:25 +02:00
parent a1048fb619
commit 2e65a1793d
4 changed files with 34 additions and 21 deletions
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11
freqtrade/data/history/hdf5datahandler.py
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@@ -77,7 +77,8 @@ class HDF5DataHandler(IDataHandler):
key = self._pair_ohlcv_key(pair, timeframe)
_data = data.copy()
filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type)
filename = self._pair_data_filename(
self._datadir, pair, self.timeframe_to_file(timeframe), candle_type)
self.create_dir_if_needed(filename)
_data.loc[:, self._columns].to_hdf(
@@ -104,12 +105,16 @@ class HDF5DataHandler(IDataHandler):
filename = self._pair_data_filename(
self._datadir,
pair,
timeframe,
self.timeframe_to_file(timeframe),
candle_type=candle_type
)
if not filename.exists():
return pd.DataFrame(columns=self._columns)
# Fallback mode for 1M files
filename = self._pair_data_filename(
self._datadir, pair, timeframe, candle_type=candle_type)
if not filename.exists():
return pd.DataFrame(columns=self._columns)
where = []
if timerange:
if timerange.starttype == 'date':