freqtrade_origin/tests/data/test_dataprovider.py

409 lines
15 KiB
Python
Raw Normal View History

2020-06-14 09:51:20 +00:00
from datetime import datetime, timezone
2020-05-12 04:38:14 +00:00
from unittest.mock import MagicMock
2018-12-25 12:56:30 +00:00
import pytest
2020-06-14 09:51:20 +00:00
from pandas import DataFrame
2018-12-25 12:56:30 +00:00
from freqtrade.data.dataprovider import DataProvider
2021-12-08 14:59:20 +00:00
from freqtrade.enums import CandleType, RunMode
from freqtrade.exceptions import ExchangeError, OperationalException
from freqtrade.plugins.pairlistmanager import PairListManager
from tests.conftest import get_patched_exchange
2018-12-25 12:56:30 +00:00
@pytest.mark.parametrize('candle_type', [
'mark',
'',
])
2021-12-07 06:11:36 +00:00
def test_dp_ohlcv(mocker, default_conf, ohlcv_history, candle_type):
2019-01-22 05:56:54 +00:00
default_conf["runmode"] = RunMode.DRY_RUN
2020-06-01 18:47:27 +00:00
timeframe = default_conf["timeframe"]
2018-12-25 12:56:30 +00:00
exchange = get_patched_exchange(mocker, default_conf)
2021-12-07 06:11:36 +00:00
candletype = CandleType.from_string(candle_type)
2021-12-08 13:35:15 +00:00
exchange._klines[("XRP/BTC", timeframe, candletype)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe, candletype)] = ohlcv_history
2018-12-25 12:56:30 +00:00
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.DRY_RUN
2021-12-07 06:11:36 +00:00
assert ohlcv_history.equals(dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candletype))
assert isinstance(dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candletype), DataFrame)
assert dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candletype) is not ohlcv_history
assert dp.ohlcv("UNITTEST/BTC", timeframe, copy=False, candle_type=candletype) is ohlcv_history
assert not dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candletype).empty
assert dp.ohlcv("NONESENSE/AAA", timeframe, candle_type=candletype).empty
2018-12-30 06:15:49 +00:00
# Test with and without parameter
assert dp.ohlcv(
"UNITTEST/BTC",
timeframe,
2021-12-07 06:11:36 +00:00
candle_type=candletype
).equals(dp.ohlcv("UNITTEST/BTC", candle_type=candle_type))
2019-01-22 05:56:54 +00:00
default_conf["runmode"] = RunMode.LIVE
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.LIVE
assert isinstance(dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candle_type), DataFrame)
2019-01-22 05:56:54 +00:00
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.BACKTEST
assert dp.ohlcv("UNITTEST/BTC", timeframe, candle_type=candle_type).empty
2018-12-25 12:56:30 +00:00
def test_historic_ohlcv(mocker, default_conf, ohlcv_history):
historymock = MagicMock(return_value=ohlcv_history)
2019-01-22 05:56:54 +00:00
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
2018-12-25 12:56:30 +00:00
dp = DataProvider(default_conf, None)
2019-01-22 05:56:54 +00:00
data = dp.historic_ohlcv("UNITTEST/BTC", "5m")
2018-12-25 12:56:30 +00:00
assert isinstance(data, DataFrame)
assert historymock.call_count == 1
assert historymock.call_args_list[0][1]["timeframe"] == "5m"
2018-12-26 13:23:21 +00:00
def test_historic_ohlcv_dataformat(mocker, default_conf, ohlcv_history):
hdf5loadmock = MagicMock(return_value=ohlcv_history)
jsonloadmock = MagicMock(return_value=ohlcv_history)
mocker.patch("freqtrade.data.history.hdf5datahandler.HDF5DataHandler._ohlcv_load", hdf5loadmock)
mocker.patch("freqtrade.data.history.jsondatahandler.JsonDataHandler._ohlcv_load", jsonloadmock)
default_conf["runmode"] = RunMode.BACKTEST
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
data = dp.historic_ohlcv("UNITTEST/BTC", "5m")
assert isinstance(data, DataFrame)
hdf5loadmock.assert_not_called()
jsonloadmock.assert_called_once()
2021-08-16 12:16:24 +00:00
# Switching to dataformat hdf5
hdf5loadmock.reset_mock()
jsonloadmock.reset_mock()
default_conf["dataformat_ohlcv"] = "hdf5"
dp = DataProvider(default_conf, exchange)
data = dp.historic_ohlcv("UNITTEST/BTC", "5m")
assert isinstance(data, DataFrame)
hdf5loadmock.assert_called_once()
jsonloadmock.assert_not_called()
@pytest.mark.parametrize('candle_type', [
'mark',
2021-12-07 06:11:36 +00:00
'futures',
'',
])
def test_get_pair_dataframe(mocker, default_conf, ohlcv_history, candle_type):
2019-08-17 09:59:27 +00:00
default_conf["runmode"] = RunMode.DRY_RUN
2020-06-01 18:47:27 +00:00
timeframe = default_conf["timeframe"]
2019-08-17 09:59:27 +00:00
exchange = get_patched_exchange(mocker, default_conf)
2021-12-07 06:11:36 +00:00
candletype = CandleType.from_string(candle_type)
2021-12-08 13:35:15 +00:00
exchange._klines[("XRP/BTC", timeframe, candletype)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe, candletype)] = ohlcv_history
2019-08-17 09:59:27 +00:00
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.DRY_RUN
assert ohlcv_history.equals(dp.get_pair_dataframe(
"UNITTEST/BTC", timeframe, candle_type=candle_type))
2021-12-07 06:11:36 +00:00
assert ohlcv_history.equals(dp.get_pair_dataframe(
"UNITTEST/BTC", timeframe, candle_type=candletype))
assert isinstance(dp.get_pair_dataframe(
"UNITTEST/BTC", timeframe, candle_type=candle_type), DataFrame)
assert dp.get_pair_dataframe("UNITTEST/BTC", timeframe,
candle_type=candle_type) is not ohlcv_history
assert not dp.get_pair_dataframe("UNITTEST/BTC", timeframe, candle_type=candle_type).empty
assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe, candle_type=candle_type).empty
2019-08-17 09:59:27 +00:00
# Test with and without parameter
assert dp.get_pair_dataframe("UNITTEST/BTC", timeframe, candle_type=candle_type)\
.equals(dp.get_pair_dataframe("UNITTEST/BTC", candle_type=candle_type))
2019-08-17 09:59:27 +00:00
default_conf["runmode"] = RunMode.LIVE
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.LIVE
assert isinstance(dp.get_pair_dataframe(
"UNITTEST/BTC", timeframe, candle_type=candle_type), DataFrame)
assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe, candle_type=candle_type).empty
2019-08-17 09:59:27 +00:00
historymock = MagicMock(return_value=ohlcv_history)
2019-08-17 09:59:27 +00:00
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.BACKTEST
assert isinstance(dp.get_pair_dataframe(
"UNITTEST/BTC", timeframe, candle_type=candle_type), DataFrame)
2020-06-01 18:47:27 +00:00
# assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe).empty
2019-08-17 09:59:27 +00:00
def test_available_pairs(mocker, default_conf, ohlcv_history):
2018-12-26 13:23:21 +00:00
exchange = get_patched_exchange(mocker, default_conf)
2020-06-01 18:47:27 +00:00
timeframe = default_conf["timeframe"]
exchange._klines[("XRP/BTC", timeframe)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe)] = ohlcv_history
2018-12-26 13:23:21 +00:00
dp = DataProvider(default_conf, exchange)
2018-12-26 13:23:21 +00:00
assert len(dp.available_pairs) == 2
2020-06-01 18:47:27 +00:00
assert dp.available_pairs == [("XRP/BTC", timeframe), ("UNITTEST/BTC", timeframe), ]
2019-01-22 05:55:40 +00:00
2022-09-09 23:14:40 +00:00
def test_producer_pairs(mocker, default_conf, ohlcv_history):
dataprovider = DataProvider(default_conf, None)
producer = "default"
whitelist = ["XRP/BTC", "ETH/BTC"]
assert len(dataprovider.get_producer_pairs(producer)) == 0
dataprovider._set_producer_pairs(whitelist, producer)
assert len(dataprovider.get_producer_pairs(producer)) == 2
new_whitelist = ["BTC/USDT"]
dataprovider._set_producer_pairs(new_whitelist, producer)
assert dataprovider.get_producer_pairs(producer) == new_whitelist
assert dataprovider.get_producer_pairs("bad") == []
def test_external_df(mocker, default_conf, ohlcv_history):
dataprovider = DataProvider(default_conf, None)
pair = 'BTC/USDT'
timeframe = default_conf['timeframe']
candle_type = CandleType.SPOT
empty_la = datetime.fromtimestamp(0, tz=timezone.utc)
2022-09-12 22:39:16 +00:00
now = datetime.now(timezone.utc)
2022-09-09 23:14:40 +00:00
# no data has been added, any request should return an empty dataframe
dataframe, la = dataprovider.get_external_df(pair, timeframe, candle_type)
assert dataframe.empty
assert la == empty_la
# the data is added, should return that added dataframe
2022-09-12 22:39:16 +00:00
dataprovider._add_external_df(pair, ohlcv_history, now, timeframe, candle_type)
2022-09-09 23:14:40 +00:00
dataframe, la = dataprovider.get_external_df(pair, timeframe, candle_type)
assert len(dataframe) > 0
assert la > empty_la
# no data on this producer, should return empty dataframe
dataframe, la = dataprovider.get_external_df(pair, producer_name='bad')
assert dataframe.empty
assert la == empty_la
# non existent timeframe, empty dataframe
datframe, la = dataprovider.get_external_df(pair, timeframe='1h')
assert dataframe.empty
assert la == empty_la
def test_emit_df(mocker, default_conf, ohlcv_history):
mocker.patch('freqtrade.rpc.rpc_manager.RPCManager.__init__', MagicMock())
rpc_mock = mocker.patch('freqtrade.rpc.rpc_manager.RPCManager', MagicMock())
send_mock = mocker.patch('freqtrade.rpc.rpc_manager.RPCManager.send_msg', MagicMock())
dataprovider = DataProvider(default_conf, exchange=None, rpc=rpc_mock)
dataprovider_no_rpc = DataProvider(default_conf, exchange=None)
pair = "BTC/USDT"
# No emit yet
assert send_mock.call_count == 0
# Rpc is added, we call emit, should call send_msg
dataprovider._emit_df(pair, ohlcv_history)
assert send_mock.call_count == 1
# No rpc added, emit called, should not call send_msg
dataprovider_no_rpc._emit_df(pair, ohlcv_history)
assert send_mock.call_count == 1
def test_refresh(mocker, default_conf, ohlcv_history):
2019-01-22 05:55:40 +00:00
refresh_mock = MagicMock()
2019-01-22 05:56:54 +00:00
mocker.patch("freqtrade.exchange.Exchange.refresh_latest_ohlcv", refresh_mock)
2019-01-22 05:55:40 +00:00
2019-01-22 05:56:54 +00:00
exchange = get_patched_exchange(mocker, default_conf, id="binance")
2020-06-01 18:47:27 +00:00
timeframe = default_conf["timeframe"]
pairs = [("XRP/BTC", timeframe), ("UNITTEST/BTC", timeframe)]
2019-01-22 05:55:40 +00:00
pairs_non_trad = [("ETH/USDT", timeframe), ("BTC/TUSD", "1h")]
2019-01-22 05:55:40 +00:00
dp = DataProvider(default_conf, exchange)
dp.refresh(pairs)
assert refresh_mock.call_count == 1
assert len(refresh_mock.call_args[0]) == 1
assert len(refresh_mock.call_args[0][0]) == len(pairs)
assert refresh_mock.call_args[0][0] == pairs
refresh_mock.reset_mock()
dp.refresh(pairs, pairs_non_trad)
assert refresh_mock.call_count == 1
assert len(refresh_mock.call_args[0]) == 1
assert len(refresh_mock.call_args[0][0]) == len(pairs) + len(pairs_non_trad)
assert refresh_mock.call_args[0][0] == pairs + pairs_non_trad
def test_orderbook(mocker, default_conf, order_book_l2):
api_mock = MagicMock()
api_mock.fetch_l2_order_book = order_book_l2
exchange = get_patched_exchange(mocker, default_conf, api_mock=api_mock)
dp = DataProvider(default_conf, exchange)
res = dp.orderbook('ETH/BTC', 5)
assert order_book_l2.call_count == 1
assert order_book_l2.call_args_list[0][0][0] == 'ETH/BTC'
assert order_book_l2.call_args_list[0][0][1] >= 5
assert type(res) is dict
assert 'bids' in res
assert 'asks' in res
def test_market(mocker, default_conf, markets):
api_mock = MagicMock()
api_mock.markets = markets
exchange = get_patched_exchange(mocker, default_conf, api_mock=api_mock)
dp = DataProvider(default_conf, exchange)
res = dp.market('ETH/BTC')
assert type(res) is dict
assert 'symbol' in res
assert res['symbol'] == 'ETH/BTC'
res = dp.market('UNITTEST/BTC')
assert res is None
2020-05-15 16:19:52 +00:00
def test_ticker(mocker, default_conf, tickers):
ticker_mock = MagicMock(return_value=tickers()['ETH/BTC'])
mocker.patch("freqtrade.exchange.Exchange.fetch_ticker", ticker_mock)
exchange = get_patched_exchange(mocker, default_conf)
2020-05-14 13:43:16 +00:00
dp = DataProvider(default_conf, exchange)
res = dp.ticker('ETH/BTC')
assert type(res) is dict
assert 'symbol' in res
assert res['symbol'] == 'ETH/BTC'
ticker_mock = MagicMock(side_effect=ExchangeError('Pair not found'))
2020-05-15 16:19:52 +00:00
mocker.patch("freqtrade.exchange.Exchange.fetch_ticker", ticker_mock)
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
2020-05-14 13:43:16 +00:00
res = dp.ticker('UNITTEST/BTC')
assert res == {}
2020-05-12 04:38:14 +00:00
def test_current_whitelist(mocker, default_conf, tickers):
# patch default conf to volumepairlist
default_conf['pairlists'][0] = {'method': 'VolumePairList', "number_assets": 5}
2020-05-12 04:38:14 +00:00
mocker.patch.multiple('freqtrade.exchange.Exchange',
exchange_has=MagicMock(return_value=True),
get_tickers=tickers)
exchange = get_patched_exchange(mocker, default_conf)
pairlist = PairListManager(exchange, default_conf)
dp = DataProvider(default_conf, exchange, pairlist)
# Simulate volumepairs from exchange.
2020-05-12 04:38:14 +00:00
pairlist.refresh_pairlist()
assert dp.current_whitelist() == pairlist._whitelist
2021-04-13 04:57:21 +00:00
# The identity of the 2 lists should not be identical, but a copy
assert dp.current_whitelist() is not pairlist._whitelist
with pytest.raises(OperationalException):
dp = DataProvider(default_conf, exchange)
dp.current_whitelist()
2020-06-14 09:51:20 +00:00
def test_get_analyzed_dataframe(mocker, default_conf, ohlcv_history):
default_conf["runmode"] = RunMode.DRY_RUN
timeframe = default_conf["timeframe"]
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
2021-12-03 12:04:31 +00:00
dp._set_cached_df("XRP/BTC", timeframe, ohlcv_history, CandleType.SPOT)
dp._set_cached_df("UNITTEST/BTC", timeframe, ohlcv_history, CandleType.SPOT)
2020-06-14 09:51:20 +00:00
assert dp.runmode == RunMode.DRY_RUN
dataframe, time = dp.get_analyzed_dataframe("UNITTEST/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("NOTHING/BTC", timeframe)
assert dataframe.empty
assert isinstance(time, datetime)
assert time == datetime(1970, 1, 1, tzinfo=timezone.utc)
2021-05-05 18:08:31 +00:00
2021-05-09 17:47:37 +00:00
# Test backtest mode
default_conf["runmode"] = RunMode.BACKTEST
dp._set_dataframe_max_index(1)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 1
dp._set_dataframe_max_index(2)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 2
dp._set_dataframe_max_index(3)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 3
dp._set_dataframe_max_index(500)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == len(ohlcv_history)
2021-05-05 18:08:31 +00:00
def test_no_exchange_mode(default_conf):
dp = DataProvider(default_conf, None)
message = "Exchange is not available to DataProvider."
with pytest.raises(OperationalException, match=message):
dp.refresh([()])
with pytest.raises(OperationalException, match=message):
dp.ohlcv('XRP/USDT', '5m', '')
2021-05-05 18:08:31 +00:00
with pytest.raises(OperationalException, match=message):
dp.market('XRP/USDT')
with pytest.raises(OperationalException, match=message):
dp.ticker('XRP/USDT')
with pytest.raises(OperationalException, match=message):
dp.orderbook('XRP/USDT', 20)
2021-05-09 17:47:37 +00:00
with pytest.raises(OperationalException, match=message):
dp.available_pairs()
def test_dp_send_msg(default_conf):
default_conf["runmode"] = RunMode.DRY_RUN
default_conf["timeframe"] = '1h'
dp = DataProvider(default_conf, None)
msg = 'Test message'
dp.send_msg(msg)
assert msg in dp._msg_queue
dp._msg_queue.pop()
assert msg not in dp._msg_queue
# Message is not resent due to caching
dp.send_msg(msg)
assert msg not in dp._msg_queue
dp.send_msg(msg, always_send=True)
assert msg in dp._msg_queue
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, None)
dp.send_msg(msg, always_send=True)
assert msg not in dp._msg_queue