# pragma pylint: disable=missing-docstring, protected-access, C0103 import logging from freqtrade.strategy.strategy import Strategy def test_sanitize_module_name(): assert Strategy._sanitize_module_name('default_strategy') == 'default_strategy' assert Strategy._sanitize_module_name('default_strategy.py') == 'default_strategy' assert Strategy._sanitize_module_name('../default_strategy.py') == 'default_strategy' assert Strategy._sanitize_module_name('../default_strategy') == 'default_strategy' assert Strategy._sanitize_module_name('.default_strategy') == '.default_strategy' assert Strategy._sanitize_module_name('foo-bar') == 'foo-bar' assert Strategy._sanitize_module_name('foo/bar') == 'bar' def test_search_strategy(): assert Strategy._search_strategy('default_strategy') == '.' assert Strategy._search_strategy('test_strategy') == 'user_data.strategies.' assert Strategy._search_strategy('super_duper') is None def test_strategy_structure(): assert hasattr(Strategy, 'init') assert hasattr(Strategy, 'populate_indicators') assert hasattr(Strategy, 'populate_buy_trend') assert hasattr(Strategy, 'populate_sell_trend') def test_load_strategy(result): strategy = Strategy() strategy.logger = logging.getLogger(__name__) assert not hasattr(Strategy, 'custom_strategy') strategy._load_strategy('default_strategy') assert not hasattr(Strategy, 'custom_strategy') assert hasattr(strategy.custom_strategy, 'populate_indicators') assert 'adx' in strategy.populate_indicators(result) def test_strategy(result): strategy = Strategy() strategy.init({'strategy': 'default_strategy'}) assert hasattr(strategy.custom_strategy, 'minimal_roi') assert strategy.minimal_roi['0'] == 0.04 assert hasattr(strategy.custom_strategy, 'stoploss') assert strategy.stoploss == -0.10 assert hasattr(strategy.custom_strategy, 'populate_indicators') assert 'adx' in strategy.populate_indicators(result) assert hasattr(strategy.custom_strategy, 'populate_buy_trend') dataframe = strategy.populate_buy_trend(strategy.populate_indicators(result)) assert 'buy' in dataframe.columns assert hasattr(strategy.custom_strategy, 'populate_sell_trend') dataframe = strategy.populate_sell_trend(strategy.populate_indicators(result)) assert 'sell' in dataframe.columns def test_strategy_override_minimal_roi(caplog): caplog.set_level(logging.INFO) config = { 'strategy': 'default_strategy', 'minimal_roi': { "0": 0.5 } } strategy = Strategy() strategy.init(config) assert hasattr(strategy.custom_strategy, 'minimal_roi') assert strategy.minimal_roi['0'] == 0.5 assert ('freqtrade.strategy.strategy', logging.INFO, 'Override strategy \'minimal_roi\' with value in config file.' ) in caplog.record_tuples def test_strategy_override_stoploss(caplog): caplog.set_level(logging.INFO) config = { 'strategy': 'default_strategy', 'stoploss': -0.5 } strategy = Strategy() strategy.init(config) assert hasattr(strategy.custom_strategy, 'stoploss') assert strategy.stoploss == -0.5 assert ('freqtrade.strategy.strategy', logging.INFO, 'Override strategy \'stoploss\' with value in config file: -0.5.' ) in caplog.record_tuples def test_strategy_override_ticker_interval(caplog): caplog.set_level(logging.INFO) config = { 'strategy': 'default_strategy', 'ticker_interval': 60 } strategy = Strategy() strategy.init(config) assert hasattr(strategy.custom_strategy, 'ticker_interval') assert strategy.ticker_interval == 60 assert ('freqtrade.strategy.strategy', logging.INFO, 'Override strategy \'ticker_interval\' with value in config file: 60.' ) in caplog.record_tuples def test_strategy_fallback_default_strategy(): strategy = Strategy() strategy.logger = logging.getLogger(__name__) assert not hasattr(Strategy, 'custom_strategy') strategy._load_strategy('../../super_duper') assert not hasattr(Strategy, 'custom_strategy') def test_strategy_singleton(): strategy1 = Strategy() strategy1.init({'strategy': 'default_strategy'}) assert hasattr(strategy1.custom_strategy, 'minimal_roi') assert strategy1.minimal_roi['0'] == 0.04 strategy2 = Strategy() assert hasattr(strategy2.custom_strategy, 'minimal_roi') assert strategy2.minimal_roi['0'] == 0.04