stable/freqtrade/tests/test_analyze.py

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# pragma pylint: disable=missing-docstring, C0103
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"""
Unit test file for analyse.py
"""
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import datetime
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import logging
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from unittest.mock import MagicMock
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import arrow
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from pandas import DataFrame
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from freqtrade.analyze import Analyze, SignalType
from freqtrade.optimize.__init__ import load_tickerdata_file
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from freqtrade.arguments import TimeRange
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from freqtrade.tests.conftest import log_has
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# Avoid to reinit the same object again and again
_ANALYZE = Analyze({'strategy': 'DefaultStrategy'})
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def test_signaltype_object() -> None:
"""
Test the SignalType object has the mandatory Constants
:return: None
"""
assert hasattr(SignalType, 'BUY')
assert hasattr(SignalType, 'SELL')
def test_analyze_object() -> None:
"""
Test the Analyze object has the mandatory methods
:return: None
"""
assert hasattr(Analyze, 'parse_ticker_dataframe')
assert hasattr(Analyze, 'populate_indicators')
assert hasattr(Analyze, 'populate_buy_trend')
assert hasattr(Analyze, 'populate_sell_trend')
assert hasattr(Analyze, 'analyze_ticker')
assert hasattr(Analyze, 'get_signal')
assert hasattr(Analyze, 'should_sell')
assert hasattr(Analyze, 'min_roi_reached')
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def test_dataframe_correct_length(result):
dataframe = Analyze.parse_ticker_dataframe(result)
assert len(result.index) - 1 == len(dataframe.index) # last partial candle removed
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def test_dataframe_correct_columns(result):
assert result.columns.tolist() == \
['date', 'open', 'high', 'low', 'close', 'volume']
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def test_populates_buy_trend(result):
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# Load the default strategy for the unit test, because this logic is done in main.py
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dataframe = _ANALYZE.populate_buy_trend(_ANALYZE.populate_indicators(result))
assert 'buy' in dataframe.columns
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def test_populates_sell_trend(result):
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# Load the default strategy for the unit test, because this logic is done in main.py
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dataframe = _ANALYZE.populate_sell_trend(_ANALYZE.populate_indicators(result))
assert 'sell' in dataframe.columns
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def test_returns_latest_buy_signal(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('ETH/BTC', '5m') == (True, False)
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('ETH/BTC', '5m') == (False, True)
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def test_returns_latest_sell_signal(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([{'sell': 1, 'buy': 0, 'date': arrow.utcnow()}])
)
)
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assert _ANALYZE.get_signal('ETH/BTC', '5m') == (False, True)
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('ETH/BTC', '5m') == (True, False)
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def test_get_signal_empty(default_conf, mocker, caplog):
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caplog.set_level(logging.INFO)
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mocker.patch('freqtrade.analyze.get_ticker_history', return_value=None)
assert (False, False) == _ANALYZE.get_signal('foo', default_conf['ticker_interval'])
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assert log_has('Empty ticker history for pair foo', caplog.record_tuples)
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def test_get_signal_exception_valueerror(default_conf, mocker, caplog):
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caplog.set_level(logging.INFO)
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mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
side_effect=ValueError('xyz')
)
)
assert (False, False) == _ANALYZE.get_signal('foo', default_conf['ticker_interval'])
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assert log_has('Unable to analyze ticker for pair foo: xyz', caplog.record_tuples)
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def test_get_signal_empty_dataframe(default_conf, mocker, caplog):
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caplog.set_level(logging.INFO)
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mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([])
)
)
assert (False, False) == _ANALYZE.get_signal('xyz', default_conf['ticker_interval'])
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assert log_has('Empty dataframe for pair xyz', caplog.record_tuples)
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def test_get_signal_old_dataframe(default_conf, mocker, caplog):
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caplog.set_level(logging.INFO)
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mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
# FIX: The get_signal function has hardcoded 10, which we must inturn hardcode
oldtime = arrow.utcnow() - datetime.timedelta(minutes=11)
ticks = DataFrame([{'buy': 1, 'date': oldtime}])
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame(ticks)
)
)
assert (False, False) == _ANALYZE.get_signal('xyz', default_conf['ticker_interval'])
assert log_has(
'Outdated history for pair xyz. Last tick is 11 minutes old',
caplog.record_tuples
)
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def test_get_signal_handles_exceptions(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
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mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
side_effect=Exception('invalid ticker history ')
)
)
assert _ANALYZE.get_signal('ETH/BTC', '5m') == (False, False)
def test_parse_ticker_dataframe(ticker_history):
columns = ['date', 'open', 'high', 'low', 'close', 'volume']
# Test file with BV data
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dataframe = Analyze.parse_ticker_dataframe(ticker_history)
assert dataframe.columns.tolist() == columns
def test_tickerdata_to_dataframe(default_conf) -> None:
"""
Test Analyze.tickerdata_to_dataframe() method
"""
analyze = Analyze(default_conf)
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timerange = TimeRange(None, 'line', 0, -100)
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}
data = analyze.tickerdata_to_dataframe(tickerlist)
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assert len(data['UNITTEST/BTC']) == 99 # partial candle was removed