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featherdatahandler: implement trades_store/_trades_load

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pull/8361/head
Joe Schr 3 years ago
parent 7b5e322ef2
commit e16db814fa
3 changed files with 102 additions and 32 deletions
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26
freqtrade/data/history/featherdatahandler.py
Unescape View File

@ -4,8 +4,9 @@ from typing import Optional
from pandas import DataFrame, read_feather, to_datetime
from freqtrade.configuration import TimeRange
from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS, TradeList
from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS, TradeList, DEFAULT_TRADES_COLUMNS
from freqtrade.enums import CandleType
from freqtrade.data.converter import trades_dict_to_list
from .idatahandler import IDataHandler
@ -29,7 +30,8 @@ class FeatherDataHandler(IDataHandler):
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: None
"""
filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type)
filename = self._pair_data_filename(
self._datadir, pair, timeframe, candle_type)
self.create_dir_if_needed(filename)
data.reset_index(drop=True).loc[:, self._columns].to_feather(
@ -92,12 +94,11 @@ class FeatherDataHandler(IDataHandler):
:param data: List of Lists containing trade data,
column sequence as in DEFAULT_TRADES_COLUMNS
"""
# filename = self._pair_trades_filename(self._datadir, pair)
filename = self._pair_trades_filename(self._datadir, pair)
self.create_dir_if_needed(filename)
raise NotImplementedError()
# array = pa.array(data)
# array
# feather.write_feather(data, filename)
tradesdata = DataFrame(data, columns=DEFAULT_TRADES_COLUMNS)
tradesdata.to_feather(filename, compression_level=9, compression='lz4')
def trades_append(self, pair: str, data: TradeList):
"""
@ -116,14 +117,13 @@ class FeatherDataHandler(IDataHandler):
:param timerange: Timerange to load trades for - currently not implemented
:return: List of trades
"""
raise NotImplementedError()
# filename = self._pair_trades_filename(self._datadir, pair)
# tradesdata = misc.file_load_json(filename)
filename = self._pair_trades_filename(self._datadir, pair)
if not filename.exists():
return []
# if not tradesdata:
# return []
tradesdata = read_feather(filename)
# return tradesdata
return tradesdata.values.tolist()
@classmethod
def _get_file_extension(cls):

108
tests/data/test_datahandler.py
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@ -20,25 +20,31 @@ from tests.conftest import log_has, log_has_re
def test_datahandler_ohlcv_get_pairs(testdatadir):
pairs = JsonDataHandler.ohlcv_get_pairs(testdatadir, '5m', candle_type=CandleType.SPOT)
pairs = JsonDataHandler.ohlcv_get_pairs(
testdatadir, '5m', candle_type=CandleType.SPOT)
# Convert to set to avoid failures due to sorting
assert set(pairs) == {'UNITTEST/BTC', 'XLM/BTC', 'ETH/BTC', 'TRX/BTC', 'LTC/BTC',
'XMR/BTC', 'ZEC/BTC', 'ADA/BTC', 'ETC/BTC', 'NXT/BTC',
'DASH/BTC', 'XRP/ETH'}
pairs = JsonGzDataHandler.ohlcv_get_pairs(testdatadir, '8m', candle_type=CandleType.SPOT)
pairs = JsonGzDataHandler.ohlcv_get_pairs(
testdatadir, '8m', candle_type=CandleType.SPOT)
assert set(pairs) == {'UNITTEST/BTC'}
pairs = HDF5DataHandler.ohlcv_get_pairs(testdatadir, '5m', candle_type=CandleType.SPOT)
pairs = HDF5DataHandler.ohlcv_get_pairs(
testdatadir, '5m', candle_type=CandleType.SPOT)
assert set(pairs) == {'UNITTEST/BTC'}
pairs = JsonDataHandler.ohlcv_get_pairs(testdatadir, '1h', candle_type=CandleType.MARK)
pairs = JsonDataHandler.ohlcv_get_pairs(
testdatadir, '1h', candle_type=CandleType.MARK)
assert set(pairs) == {'UNITTEST/USDT:USDT', 'XRP/USDT:USDT'}
pairs = JsonGzDataHandler.ohlcv_get_pairs(testdatadir, '1h', candle_type=CandleType.FUTURES)
pairs = JsonGzDataHandler.ohlcv_get_pairs(
testdatadir, '1h', candle_type=CandleType.FUTURES)
assert set(pairs) == {'XRP/USDT:USDT'}
pairs = HDF5DataHandler.ohlcv_get_pairs(testdatadir, '1h', candle_type=CandleType.MARK)
pairs = HDF5DataHandler.ohlcv_get_pairs(
testdatadir, '1h', candle_type=CandleType.MARK)
assert set(pairs) == {'UNITTEST/USDT:USDT'}
@ -79,7 +85,8 @@ def test_rebuild_pair_from_filename(input, expected):
def test_datahandler_ohlcv_get_available_data(testdatadir):
paircombs = JsonDataHandler.ohlcv_get_available_data(testdatadir, TradingMode.SPOT)
paircombs = JsonDataHandler.ohlcv_get_available_data(
testdatadir, TradingMode.SPOT)
# Convert to set to avoid failures due to sorting
assert set(paircombs) == {
('UNITTEST/BTC', '5m', CandleType.SPOT),
@ -101,7 +108,8 @@ def test_datahandler_ohlcv_get_available_data(testdatadir):
('NOPAIR/XXX', '4m', CandleType.SPOT),
}
paircombs = JsonDataHandler.ohlcv_get_available_data(testdatadir, TradingMode.FUTURES)
paircombs = JsonDataHandler.ohlcv_get_available_data(
testdatadir, TradingMode.FUTURES)
# Convert to set to avoid failures due to sorting
assert set(paircombs) == {
('UNITTEST/USDT:USDT', '1h', 'mark'),
@ -112,9 +120,11 @@ def test_datahandler_ohlcv_get_available_data(testdatadir):
('XRP/USDT:USDT', '8h', 'funding_rate'),
}
paircombs = JsonGzDataHandler.ohlcv_get_available_data(testdatadir, TradingMode.SPOT)
paircombs = JsonGzDataHandler.ohlcv_get_available_data(
testdatadir, TradingMode.SPOT)
assert set(paircombs) == {('UNITTEST/BTC', '8m', CandleType.SPOT)}
paircombs = HDF5DataHandler.ohlcv_get_available_data(testdatadir, TradingMode.SPOT)
paircombs = HDF5DataHandler.ohlcv_get_available_data(
testdatadir, TradingMode.SPOT)
assert set(paircombs) == {('UNITTEST/BTC', '5m', CandleType.SPOT)}
@ -252,7 +262,7 @@ def test_datahandler__check_empty_df(testdatadir, caplog):
assert log_has_re(expected_text, caplog)
@pytest.mark.parametrize('datahandler', ['feather', 'parquet'])
@pytest.mark.parametrize('datahandler', ['parquet'])
def test_datahandler_trades_not_supported(datahandler, testdatadir, ):
dh = get_datahandler(testdatadir, datahandler)
with pytest.raises(NotImplementedError):
@ -406,18 +416,21 @@ def test_hdf5datahandler_ohlcv_load_and_resave(
assert not ohlcv[ohlcv['date'] < startdt].empty
timerange = TimeRange.parse_timerange(f"{startdt.replace('-', '')}-{enddt.replace('-', '')}")
timerange = TimeRange.parse_timerange(
f"{startdt.replace('-', '')}-{enddt.replace('-', '')}")
# Call private function to ensure timerange is filtered in hdf5
ohlcv = dh._ohlcv_load(pair, timeframe, timerange, candle_type=candle_type)
ohlcv1 = dh1._ohlcv_load('UNITTEST/NEW', timeframe, timerange, candle_type=candle_type)
ohlcv1 = dh1._ohlcv_load('UNITTEST/NEW', timeframe,
timerange, candle_type=candle_type)
assert len(ohlcv) == len(ohlcv1)
assert ohlcv.equals(ohlcv1)
assert ohlcv[ohlcv['date'] < startdt].empty
assert ohlcv[ohlcv['date'] > enddt].empty
# Try loading inexisting file
ohlcv = dh.ohlcv_load('UNITTEST/NONEXIST', timeframe, candle_type=candle_type)
ohlcv = dh.ohlcv_load('UNITTEST/NONEXIST', timeframe,
candle_type=candle_type)
assert ohlcv.empty
@ -452,7 +465,8 @@ def test_generic_datahandler_ohlcv_load_and_resave(
# Get data to test
dh = get_datahandler(testdatadir, datahandler)
file = tmpdir2 / f"UNITTEST_NEW-{timeframe}{candle_append}.{dh._get_file_extension()}"
file = tmpdir2 / \
f"UNITTEST_NEW-{timeframe}{candle_append}.{dh._get_file_extension()}"
assert not file.is_file()
dh1 = get_datahandler(tmpdir1, datahandler)
@ -461,11 +475,14 @@ def test_generic_datahandler_ohlcv_load_and_resave(
assert not ohlcv[ohlcv['date'] < startdt].empty
timerange = TimeRange.parse_timerange(f"{startdt.replace('-', '')}-{enddt.replace('-', '')}")
timerange = TimeRange.parse_timerange(
f"{startdt.replace('-', '')}-{enddt.replace('-', '')}")
ohlcv = dhbase.ohlcv_load(pair, timeframe, timerange=timerange, candle_type=candle_type)
ohlcv = dhbase.ohlcv_load(
pair, timeframe, timerange=timerange, candle_type=candle_type)
if datahandler == 'hdf5':
ohlcv1 = dh1._ohlcv_load('UNITTEST/NEW', timeframe, timerange, candle_type=candle_type)
ohlcv1 = dh1._ohlcv_load(
'UNITTEST/NEW', timeframe, timerange, candle_type=candle_type)
if candle_type == 'mark':
ohlcv1['volume'] = 0.0
else:
@ -478,7 +495,8 @@ def test_generic_datahandler_ohlcv_load_and_resave(
assert ohlcv[ohlcv['date'] > enddt].empty
# Try loading inexisting file
ohlcv = dh.ohlcv_load('UNITTEST/NONEXIST', timeframe, candle_type=candle_type)
ohlcv = dh.ohlcv_load('UNITTEST/NONEXIST', timeframe,
candle_type=candle_type)
assert ohlcv.empty
@ -496,6 +514,58 @@ def test_hdf5datahandler_ohlcv_purge(mocker, testdatadir):
assert unlinkmock.call_count == 2
def test_featherdatahandler_trades_load(testdatadir):
dh = get_datahandler(testdatadir, 'feather')
trades = dh.trades_load('XRP/ETH')
assert isinstance(trades, list)
assert trades[0][0] == 1570752011620
assert trades[-1][-1] == 0.1986231
trades1 = dh.trades_load('UNITTEST/NONEXIST')
assert trades1 == []
def test_featherdatahandler_trades_store(testdatadir, tmpdir):
tmpdir1 = Path(tmpdir)
dh = get_datahandler(testdatadir, 'feather')
trades = dh.trades_load('XRP/ETH')
dh1 = get_datahandler(tmpdir1, 'feather')
dh1.trades_store('XRP/NEW', trades)
file = tmpdir1 / 'XRP_NEW-trades.feather'
assert file.is_file()
# Load trades back
trades_new = dh1.trades_load('XRP/NEW')
assert len(trades_new) == len(trades)
assert trades[0][0] == trades_new[0][0]
assert trades[0][1] == trades_new[0][1]
# assert trades[0][2] == trades_new[0][2] # This is nan - so comparison does not make sense
assert trades[0][3] == trades_new[0][3]
assert trades[0][4] == trades_new[0][4]
assert trades[0][5] == trades_new[0][5]
assert trades[0][6] == trades_new[0][6]
assert trades[-1][0] == trades_new[-1][0]
assert trades[-1][1] == trades_new[-1][1]
# assert trades[-1][2] == trades_new[-1][2] # This is nan - so comparison does not make sense
assert trades[-1][3] == trades_new[-1][3]
assert trades[-1][4] == trades_new[-1][4]
assert trades[-1][5] == trades_new[-1][5]
assert trades[-1][6] == trades_new[-1][6]
def test_featherdatahandler_trades_purge(mocker, testdatadir):
mocker.patch.object(Path, "exists", MagicMock(return_value=False))
unlinkmock = mocker.patch.object(Path, "unlink", MagicMock())
dh = get_datahandler(testdatadir, 'feather')
assert not dh.trades_purge('UNITTEST/NONEXIST')
assert unlinkmock.call_count == 0
mocker.patch.object(Path, "exists", MagicMock(return_value=True))
assert dh.trades_purge('UNITTEST/NONEXIST')
assert unlinkmock.call_count == 1
def test_gethandlerclass():
cl = get_datahandlerclass('json')
assert cl == JsonDataHandler

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