# pragma pylint: disable=missing-docstring, C0103 import datetime from unittest.mock import MagicMock import arrow from pandas import DataFrame import freqtrade.tests.conftest as tt # test tools from freqtrade.analyze import (get_signal, parse_ticker_dataframe, populate_buy_trend, populate_indicators, populate_sell_trend) from freqtrade.strategy.strategy import Strategy def test_dataframe_correct_columns(result): assert result.columns.tolist() == \ ['close', 'high', 'low', 'open', 'date', 'volume'] def test_dataframe_correct_length(result): # no idea what this check truly does - should we just remove it? assert len(result.index) == 14397 def test_populates_buy_trend(result): # Load the default strategy for the unit test, because this logic is done in main.py Strategy().init({'strategy': 'default_strategy'}) dataframe = populate_buy_trend(populate_indicators(result, None), None) assert 'buy' in dataframe.columns def test_populates_sell_trend(result): # Load the default strategy for the unit test, because this logic is done in main.py Strategy().init({'strategy': 'default_strategy'}) dataframe = populate_sell_trend(populate_indicators(result, None), None) assert 'sell' in dataframe.columns def test_returns_latest_buy_signal(mocker): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock()) mocker.patch( 'freqtrade.analyze.analyze_ticker', return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}]) ) assert get_signal('BTC-ETH', 5) == (True, False) mocker.patch( 'freqtrade.analyze.analyze_ticker', return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}]) ) assert get_signal('BTC-ETH', 5) == (False, True) def test_returns_latest_sell_signal(mocker): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock()) mocker.patch( 'freqtrade.analyze.analyze_ticker', return_value=DataFrame([{'sell': 1, 'buy': 0, 'date': arrow.utcnow()}]) ) assert get_signal('BTC-ETH', 5) == (False, True) mocker.patch( 'freqtrade.analyze.analyze_ticker', return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}]) ) assert get_signal('BTC-ETH', 5) == (True, False) def test_get_signal_empty(default_conf, mocker, caplog): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=None) assert (False, False) == get_signal('foo', int(default_conf['ticker_interval'])) assert tt.log_has('Empty ticker history for pair foo', caplog.record_tuples) def test_get_signal_exception_valueerror(default_conf, mocker, caplog): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1) mocker.patch('freqtrade.analyze.analyze_ticker', side_effect=ValueError('xyz')) assert (False, False) == get_signal('foo', int(default_conf['ticker_interval'])) assert tt.log_has('Unable to analyze ticker for pair foo: xyz', caplog.record_tuples) def test_get_signal_empty_dataframe(default_conf, mocker, caplog): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1) mocker.patch('freqtrade.analyze.analyze_ticker', return_value=DataFrame([])) assert (False, False) == get_signal('xyz', int(default_conf['ticker_interval'])) assert tt.log_has('Empty dataframe for pair xyz', caplog.record_tuples) def test_get_signal_old_dataframe(default_conf, mocker, caplog): 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}]) mocker.patch('freqtrade.analyze.analyze_ticker', return_value=DataFrame(ticks)) assert (False, False) == get_signal('xyz', int(default_conf['ticker_interval'])) assert tt.log_has('Too old dataframe for pair xyz', caplog.record_tuples) def test_get_signal_handles_exceptions(mocker): mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock()) mocker.patch('freqtrade.analyze.analyze_ticker', side_effect=Exception('invalid ticker history ')) assert get_signal('BTC-ETH', 5) == (False, False) def test_parse_ticker_dataframe(ticker_history, ticker_history_without_bv): columns = ['close', 'high', 'low', 'open', 'date', 'volume'] # Test file with BV data dataframe = parse_ticker_dataframe(ticker_history) assert dataframe.columns.tolist() == columns # Test file without BV data dataframe = parse_ticker_dataframe(ticker_history_without_bv) assert dataframe.columns.tolist() == columns