Do not instantiate directly DefaultStrategy in tests
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@ -24,7 +24,7 @@ from freqtrade.data.history import (_download_pair_history,
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validate_backtest_data)
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.misc import file_dump_json
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from freqtrade.strategy.default_strategy import DefaultStrategy
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from freqtrade.resolvers import StrategyResolver
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from tests.conftest import (get_patched_exchange, log_has, log_has_re,
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patch_exchange)
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@ -509,7 +509,9 @@ def test_file_dump_json_tofile(testdatadir) -> None:
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def test_get_timerange(default_conf, mocker, testdatadir) -> None:
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patch_exchange(mocker)
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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data = strategy.tickerdata_to_dataframe(
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load_data(
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@ -525,7 +527,9 @@ def test_get_timerange(default_conf, mocker, testdatadir) -> None:
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def test_validate_backtest_data_warn(default_conf, mocker, caplog, testdatadir) -> None:
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patch_exchange(mocker)
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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data = strategy.tickerdata_to_dataframe(
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load_data(
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@ -547,7 +551,9 @@ def test_validate_backtest_data_warn(default_conf, mocker, caplog, testdatadir)
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def test_validate_backtest_data(default_conf, mocker, caplog, testdatadir) -> None:
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patch_exchange(mocker)
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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timerange = TimeRange('index', 'index', 200, 250)
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data = strategy.tickerdata_to_dataframe(
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@ -20,8 +20,8 @@ from freqtrade.data.dataprovider import DataProvider
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from freqtrade.data.history import get_timerange
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.optimize.backtesting import Backtesting
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.state import RunMode
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from freqtrade.strategy.default_strategy import DefaultStrategy
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from freqtrade.strategy.interface import SellType
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from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
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patched_configuration_load_config_file)
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@ -350,7 +350,9 @@ def test_tickerdata_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
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assert len(data['UNITTEST/BTC']) == 102
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# Load strategy to compare the result between Backtesting function and strategy are the same
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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data2 = strategy.tickerdata_to_dataframe(tickerlist)
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assert data['UNITTEST/BTC'].equals(data2['UNITTEST/BTC'])
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@ -10,8 +10,9 @@ from freqtrade.configuration import TimeRange
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.data.history import load_tickerdata_file
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from freqtrade.persistence import Trade
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from tests.conftest import get_patched_exchange, log_has
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.strategy.default_strategy import DefaultStrategy
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from tests.conftest import get_patched_exchange, log_has
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# Avoid to reinit the same object again and again
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_STRATEGY = DefaultStrategy(config={})
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@ -104,7 +105,8 @@ def test_get_signal_handles_exceptions(mocker, default_conf):
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def test_tickerdata_to_dataframe(default_conf, testdatadir) -> None:
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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timerange = TimeRange.parse_timerange('1510694220-1510700340')
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tick = load_tickerdata_file(testdatadir, 'UNITTEST/BTC', '1m', timerange=timerange)
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@ -120,7 +122,8 @@ def test_min_roi_reached(default_conf, fee) -> None:
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min_roi_list = [{20: 0.05, 55: 0.01, 0: 0.1},
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{0: 0.1, 20: 0.05, 55: 0.01}]
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for roi in min_roi_list:
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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strategy.minimal_roi = roi
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trade = Trade(
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pair='ETH/BTC',
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@ -158,7 +161,8 @@ def test_min_roi_reached2(default_conf, fee) -> None:
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},
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]
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for roi in min_roi_list:
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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strategy.minimal_roi = roi
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trade = Trade(
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pair='ETH/BTC',
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@ -192,7 +196,8 @@ def test_min_roi_reached3(default_conf, fee) -> None:
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30: 0.05,
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55: 0.30,
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}
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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strategy.minimal_roi = min_roi
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trade = Trade(
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pair='ETH/BTC',
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@ -292,7 +297,8 @@ def test__analyze_ticker_internal_skip_analyze(ticker_history, mocker, caplog) -
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def test_is_pair_locked(default_conf):
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strategy = DefaultStrategy(default_conf)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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# dict should be empty
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assert not strategy._pair_locked_until
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@ -19,7 +19,7 @@ from freqtrade.plot.plotting import (add_indicators, add_profit,
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generate_profit_graph, init_plotscript,
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load_and_plot_trades, plot_profit,
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plot_trades, store_plot_file)
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from freqtrade.strategy.default_strategy import DefaultStrategy
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from freqtrade.resolvers import StrategyResolver
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from tests.conftest import get_args, log_has, log_has_re
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@ -70,9 +70,11 @@ def test_add_indicators(default_conf, testdatadir, caplog):
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indicators1 = {"ema10": {}}
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indicators2 = {"macd": {"color": "red"}}
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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# Generate buy/sell signals and indicators
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strat = DefaultStrategy(default_conf)
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data = strat.analyze_ticker(data, {'pair': pair})
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data = strategy.analyze_ticker(data, {'pair': pair})
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fig = generate_empty_figure()
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# Row 1
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@ -181,9 +183,11 @@ def test_generate_candlestick_graph_no_trades(default_conf, mocker, testdatadir)
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data = history.load_pair_history(pair=pair, timeframe='1m',
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datadir=testdatadir, timerange=timerange)
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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# Generate buy/sell signals and indicators
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strat = DefaultStrategy(default_conf)
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data = strat.analyze_ticker(data, {'pair': pair})
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data = strategy.analyze_ticker(data, {'pair': pair})
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indicators1 = []
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indicators2 = []
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