54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# pragma pylint: disable=missing-docstring
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from datetime import datetime
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import json
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import pytest
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from pandas import DataFrame
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from freqtrade.analyze import parse_ticker_dataframe, populate_buy_trend, populate_indicators, \
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get_signal, SignalType, populate_sell_trend
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@pytest.fixture
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def result():
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with open('freqtrade/tests/testdata/btc-eth.json') as data_file:
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return parse_ticker_dataframe(json.load(data_file))
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def test_dataframe_correct_columns(result):
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assert result.columns.tolist() == \
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['close', 'high', 'low', 'open', 'date', 'volume']
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def test_dataframe_correct_length(result):
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assert len(result.index) == 5751
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def test_populates_buy_trend(result):
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dataframe = populate_buy_trend(populate_indicators(result))
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assert 'buy' in dataframe.columns
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def test_populates_buy_trend(result):
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dataframe = populate_sell_trend(populate_indicators(result))
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assert 'sell' in dataframe.columns
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def test_returns_latest_buy_signal(mocker):
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buydf = DataFrame([{'buy': 1, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
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assert get_signal('BTC-ETH', SignalType.BUY)
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buydf = DataFrame([{'buy': 0, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
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assert not get_signal('BTC-ETH', SignalType.BUY)
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def test_returns_latest_sell_signal(mocker):
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selldf = DataFrame([{'sell': 1, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=selldf)
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assert get_signal('BTC-ETH', SignalType.SELL)
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selldf = DataFrame([{'sell': 0, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=selldf)
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assert not get_signal('BTC-ETH', SignalType.SELL)
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