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Remove old "load_cached_data" method

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Matthias 2019-12-27 10:12:56 +01:00
parent 7a6476c9ba
commit d06777b8ce
1 changed files with 4 additions and 37 deletions
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41
freqtrade/data/history.py
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@ -185,49 +185,16 @@ def pair_data_filename(datadir: Path, pair: str, timeframe: str) -> Path:
return filename return filename
def _load_cached_data_for_updating_old(datadir: Path, pair: str, timeframe: str, def _load_cached_data_for_updating(pair: str, timeframe: str, timerange: Optional[TimeRange],
timerange: Optional[TimeRange]) -> Tuple[List[Any], data_handler: IDataHandler) -> Tuple[DataFrame, Optional[int]]:
Optional[int]]:
""" """
Load cached data to download more data. Load cached data to download more data.
If timerange is passed in, checks whether data from an before the stored data will be If timerange is passed in, checks whether data from an before the stored data will be
downloaded. downloaded.
If that's the case then what's available should be completely overwritten. If that's the case then what's available should be completely overwritten.
Only used by download_pair_history(). Otherwise downloads always start at the end of the available data to avoid data gaps.
Note: Only used by download_pair_history().
""" """
since_ms = None
# user sets timerange, so find the start time
if timerange:
if timerange.starttype == 'date':
since_ms = timerange.startts * 1000
elif timerange.stoptype == 'line':
num_minutes = timerange.stopts * timeframe_to_minutes(timeframe)
since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
# read the cached file
# Intentionally don't pass timerange in - since we need to load the full dataset.
data = load_tickerdata_file(datadir, pair, timeframe)
# remove the last item, could be incomplete candle
if data:
data.pop()
else:
data = []
if data:
if since_ms and since_ms < data[0][0]:
# Earlier data than existing data requested, redownload all
data = []
else:
# a part of the data was already downloaded, so download unexist data only
since_ms = data[-1][0] + 1
return (data, since_ms)
def _load_cached_data_for_updating(pair: str, timeframe: str, timerange: Optional[TimeRange],
data_handler: IDataHandler) -> Tuple[DataFrame, Optional[int]]:
start = None start = None
if timerange: if timerange:
if timerange.starttype == 'date': if timerange.starttype == 'date':