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Candle_type to enum

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Matthias
2021-12-03 12:23:35 +01:00
parent a87e256737
commit f9cf59bb4d
6 changed files with 53 additions and 59 deletions
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16
freqtrade/data/history/hdf5datahandler.py
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@@ -51,7 +51,7 @@ class HDF5DataHandler(IDataHandler):
for the specified timeframe
:param datadir: Directory to search for ohlcv files
:param timeframe: Timeframe to search pairs for
:param candle_type: Any of the enum CandleType (must match your trading mode!)
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: List of Pairs
"""
candle = ""
@@ -69,14 +69,14 @@ class HDF5DataHandler(IDataHandler):
pair: str,
timeframe: str,
data: pd.DataFrame,
candle_type: str = ''
candle_type: CandleType = CandleType.SPOT_
) -> None:
"""
Store data in hdf5 file.
:param pair: Pair - used to generate filename
:param timeframe: Timeframe - used to generate filename
:param data: Dataframe containing OHLCV data
:param candle_type: '', mark, index, premiumIndex, or funding_rate
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: None
"""
key = self._pair_ohlcv_key(pair, timeframe)
@@ -90,7 +90,9 @@ class HDF5DataHandler(IDataHandler):
)
def _ohlcv_load(self, pair: str, timeframe: str,
timerange: Optional[TimeRange] = None, candle_type: str = '') -> pd.DataFrame:
timerange: Optional[TimeRange] = None,
candle_type: CandleType = CandleType.SPOT_
) -> pd.DataFrame:
"""
Internal method used to load data for one pair from disk.
Implements the loading and conversion to a Pandas dataframe.
@@ -100,7 +102,7 @@ class HDF5DataHandler(IDataHandler):
:param timerange: Limit data to be loaded to this timerange.
Optionally implemented by subclasses to avoid loading
all data where possible.
:param candle_type: '', mark, index, premiumIndex, or funding_rate
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: DataFrame with ohlcv data, or empty DataFrame
"""
key = self._pair_ohlcv_key(pair, timeframe)
@@ -133,14 +135,14 @@ class HDF5DataHandler(IDataHandler):
pair: str,
timeframe: str,
data: pd.DataFrame,
candle_type: str = ''
candle_type: CandleType
) -> None:
"""
Append data to existing data structures
:param pair: Pair
:param timeframe: Timeframe this ohlcv data is for
:param data: Data to append.
:param candle_type: '', mark, index, premiumIndex, or funding_rate
:param candle_type: Any of the enum CandleType (must match trading mode!)
"""
raise NotImplementedError()