Add fallback to load 1M files as well as 1Mo files
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@ -77,7 +77,8 @@ class HDF5DataHandler(IDataHandler):
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key = self._pair_ohlcv_key(pair, timeframe)
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_data = data.copy()
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filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type)
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filename = self._pair_data_filename(
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self._datadir, pair, self.timeframe_to_file(timeframe), candle_type)
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self.create_dir_if_needed(filename)
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_data.loc[:, self._columns].to_hdf(
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@ -104,12 +105,16 @@ class HDF5DataHandler(IDataHandler):
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filename = self._pair_data_filename(
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self._datadir,
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pair,
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timeframe,
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self.timeframe_to_file(timeframe),
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candle_type=candle_type
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)
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if not filename.exists():
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return pd.DataFrame(columns=self._columns)
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# Fallback mode for 1M files
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filename = self._pair_data_filename(
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self._datadir, pair, timeframe, candle_type=candle_type)
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if not filename.exists():
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return pd.DataFrame(columns=self._columns)
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where = []
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if timerange:
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if timerange.starttype == 'date':
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@ -98,7 +98,8 @@ class IDataHandler(ABC):
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:param candle_type: Any of the enum CandleType (must match trading mode!)
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:return: True when deleted, false if file did not exist.
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"""
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filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type)
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filename = self._pair_data_filename(
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self._datadir, pair, self.timeframe_to_file(timeframe), candle_type)
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if filename.exists():
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filename.unlink()
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return True
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@ -201,7 +202,7 @@ class IDataHandler(ABC):
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datadir = datadir.joinpath('futures')
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candle = f"-{candle_type}"
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filename = datadir.joinpath(
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f'{pair_s}-{cls.timeframe_to_file(timeframe)}{candle}.{cls._get_file_extension()}')
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f'{pair_s}-{timeframe}{candle}.{cls._get_file_extension()}')
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return filename
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@classmethod
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@ -220,7 +221,7 @@ class IDataHandler(ABC):
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converts timeframe from disk to file
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Replaces mo with M (to avoid problems on case-insensitive filesystems)
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"""
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return re.sub('mo', 'M', timeframe, flags=re.IGNORECASE)
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return re.sub('1mo', '1M', timeframe, flags=re.IGNORECASE)
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@staticmethod
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def rebuild_pair_from_filename(pair: str) -> str:
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@ -77,7 +77,8 @@ class JsonDataHandler(IDataHandler):
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:param candle_type: Any of the enum CandleType (must match trading mode!)
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:return: None
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"""
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filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type)
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filename = self._pair_data_filename(
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self._datadir, pair, self.timeframe_to_file(timeframe), candle_type)
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self.create_dir_if_needed(filename)
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_data = data.copy()
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# Convert date to int
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@ -103,9 +104,14 @@ class JsonDataHandler(IDataHandler):
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:param candle_type: Any of the enum CandleType (must match trading mode!)
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:return: DataFrame with ohlcv data, or empty DataFrame
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"""
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filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type=candle_type)
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filename = self._pair_data_filename(
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self._datadir, pair, self.timeframe_to_file(timeframe), candle_type=candle_type)
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if not filename.exists():
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return DataFrame(columns=self._columns)
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# Fallback mode for 1M files
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filename = self._pair_data_filename(
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self._datadir, pair, timeframe, candle_type=candle_type)
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if not filename.exists():
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return DataFrame(columns=self._columns)
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try:
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pairdata = read_json(filename, orient='values')
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pairdata.columns = self._columns
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@ -158,21 +158,22 @@ def test_testdata_path(testdatadir) -> None:
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assert str(Path('tests') / 'testdata') in str(testdatadir)
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@pytest.mark.parametrize("pair,expected_result,candle_type", [
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("ETH/BTC", 'freqtrade/hello/world/ETH_BTC-5m.json', ""),
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("Fabric Token/ETH", 'freqtrade/hello/world/Fabric_Token_ETH-5m.json', ""),
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("ETHH20", 'freqtrade/hello/world/ETHH20-5m.json', ""),
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(".XBTBON2H", 'freqtrade/hello/world/_XBTBON2H-5m.json', ""),
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("ETHUSD.d", 'freqtrade/hello/world/ETHUSD_d-5m.json', ""),
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("ACC_OLD/BTC", 'freqtrade/hello/world/ACC_OLD_BTC-5m.json', ""),
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("ETH/BTC", 'freqtrade/hello/world/futures/ETH_BTC-5m-mark.json', "mark"),
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("ACC_OLD/BTC", 'freqtrade/hello/world/futures/ACC_OLD_BTC-5m-index.json', "index"),
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@pytest.mark.parametrize("pair,timeframe,expected_result,candle_type", [
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("ETH/BTC", "5m", "freqtrade/hello/world/ETH_BTC-5m.json", ""),
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("ETH/USDT", "1M", "freqtrade/hello/world/ETH_USDT-1Mo.json", ""),
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("Fabric Token/ETH", "5m", "freqtrade/hello/world/Fabric_Token_ETH-5m.json", ""),
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("ETHH20", "5m", "freqtrade/hello/world/ETHH20-5m.json", ""),
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(".XBTBON2H", "5m", "freqtrade/hello/world/_XBTBON2H-5m.json", ""),
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("ETHUSD.d", "5m", "freqtrade/hello/world/ETHUSD_d-5m.json", ""),
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("ACC_OLD/BTC", "5m", "freqtrade/hello/world/ACC_OLD_BTC-5m.json", ""),
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("ETH/BTC", "5m", "freqtrade/hello/world/futures/ETH_BTC-5m-mark.json", "mark"),
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("ACC_OLD/BTC", "5m", "freqtrade/hello/world/futures/ACC_OLD_BTC-5m-index.json", "index"),
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])
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def test_json_pair_data_filename(pair, expected_result, candle_type):
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def test_json_pair_data_filename(pair, timeframe, expected_result, candle_type):
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fn = JsonDataHandler._pair_data_filename(
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Path('freqtrade/hello/world'),
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pair,
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'5m',
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JsonDataHandler.timeframe_to_file(timeframe),
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CandleType.from_string(candle_type)
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)
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assert isinstance(fn, Path)
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@ -180,7 +181,7 @@ def test_json_pair_data_filename(pair, expected_result, candle_type):
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fn = JsonGzDataHandler._pair_data_filename(
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Path('freqtrade/hello/world'),
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pair,
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'5m',
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JsonGzDataHandler.timeframe_to_file(timeframe),
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candle_type=CandleType.from_string(candle_type)
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)
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assert isinstance(fn, Path)
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