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ruff format: Update more test files
This commit is contained in:
@@ -15,17 +15,18 @@ from tests.conftest import EXMS, get_args, log_has_re, patch_exchange
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@pytest.fixture
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def lookahead_conf(default_conf_usdt, tmp_path):
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default_conf_usdt['user_data_dir'] = tmp_path
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default_conf_usdt['minimum_trade_amount'] = 10
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default_conf_usdt['targeted_trade_amount'] = 20
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default_conf_usdt['timerange'] = '20220101-20220501'
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default_conf_usdt["user_data_dir"] = tmp_path
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default_conf_usdt["minimum_trade_amount"] = 10
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default_conf_usdt["targeted_trade_amount"] = 20
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default_conf_usdt["timerange"] = "20220101-20220501"
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default_conf_usdt['strategy_path'] = str(
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Path(__file__).parent.parent / "strategy/strats/lookahead_bias")
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default_conf_usdt['strategy'] = 'strategy_test_v3_with_lookahead_bias'
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default_conf_usdt['max_open_trades'] = 1
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default_conf_usdt['dry_run_wallet'] = 1000000000
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default_conf_usdt['pairs'] = ['UNITTEST/USDT']
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default_conf_usdt["strategy_path"] = str(
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Path(__file__).parent.parent / "strategy/strats/lookahead_bias"
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)
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default_conf_usdt["strategy"] = "strategy_test_v3_with_lookahead_bias"
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default_conf_usdt["max_open_trades"] = 1
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default_conf_usdt["dry_run_wallet"] = 1000000000
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default_conf_usdt["pairs"] = ["UNITTEST/USDT"]
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return default_conf_usdt
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@@ -33,7 +34,7 @@ def test_start_lookahead_analysis(mocker):
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single_mock = MagicMock()
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text_table_mock = MagicMock()
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mocker.patch.multiple(
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'freqtrade.optimize.analysis.lookahead_helpers.LookaheadAnalysisSubFunctions',
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"freqtrade.optimize.analysis.lookahead_helpers.LookaheadAnalysisSubFunctions",
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initialize_single_lookahead_analysis=single_mock,
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text_table_lookahead_analysis_instances=text_table_mock,
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)
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@@ -48,10 +49,10 @@ def test_start_lookahead_analysis(mocker):
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"--max-open-trades",
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"1",
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"--timerange",
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"20220101-20220201"
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"20220101-20220201",
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]
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pargs = get_args(args)
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pargs['config'] = None
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pargs["config"] = None
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start_lookahead_analysis(pargs)
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assert single_mock.call_count == 1
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@@ -72,9 +73,11 @@ def test_start_lookahead_analysis(mocker):
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"20",
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]
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pargs = get_args(args)
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pargs['config'] = None
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with pytest.raises(OperationalException,
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match=r"Targeted trade amount can't be smaller than minimum trade amount.*"):
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pargs["config"] = None
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with pytest.raises(
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OperationalException,
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match=r"Targeted trade amount can't be smaller than minimum trade amount.*",
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):
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start_lookahead_analysis(pargs)
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# Missing timerange
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@@ -90,27 +93,27 @@ def test_start_lookahead_analysis(mocker):
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"1",
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]
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pargs = get_args(args)
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pargs['config'] = None
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with pytest.raises(OperationalException,
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match=r"Please set a timerange\..*"):
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pargs["config"] = None
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with pytest.raises(OperationalException, match=r"Please set a timerange\..*"):
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start_lookahead_analysis(pargs)
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def test_lookahead_helper_invalid_config(lookahead_conf) -> None:
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conf = deepcopy(lookahead_conf)
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conf['targeted_trade_amount'] = 10
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conf['minimum_trade_amount'] = 40
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with pytest.raises(OperationalException,
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match=r"Targeted trade amount can't be smaller than minimum trade amount.*"):
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conf["targeted_trade_amount"] = 10
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conf["minimum_trade_amount"] = 40
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with pytest.raises(
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OperationalException,
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match=r"Targeted trade amount can't be smaller than minimum trade amount.*",
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):
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LookaheadAnalysisSubFunctions.start(conf)
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def test_lookahead_helper_no_strategy_defined(lookahead_conf):
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conf = deepcopy(lookahead_conf)
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conf['pairs'] = ['UNITTEST/USDT']
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del conf['strategy']
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with pytest.raises(OperationalException,
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match=r"No Strategy specified"):
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conf["pairs"] = ["UNITTEST/USDT"]
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del conf["strategy"]
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with pytest.raises(OperationalException, match=r"No Strategy specified"):
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LookaheadAnalysisSubFunctions.start(conf)
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@@ -118,7 +121,7 @@ def test_lookahead_helper_start(lookahead_conf, mocker) -> None:
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single_mock = MagicMock()
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text_table_mock = MagicMock()
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mocker.patch.multiple(
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'freqtrade.optimize.analysis.lookahead_helpers.LookaheadAnalysisSubFunctions',
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"freqtrade.optimize.analysis.lookahead_helpers.LookaheadAnalysisSubFunctions",
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initialize_single_lookahead_analysis=single_mock,
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text_table_lookahead_analysis_instances=text_table_mock,
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)
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@@ -138,19 +141,20 @@ def test_lookahead_helper_text_table_lookahead_analysis_instances(lookahead_conf
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analysis.false_exit_signals = 3
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strategy_obj = {
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'name': "strategy_test_v3_with_lookahead_bias",
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'location': Path(lookahead_conf['strategy_path'], f"{lookahead_conf['strategy']}.py")
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"name": "strategy_test_v3_with_lookahead_bias",
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"location": Path(lookahead_conf["strategy_path"], f"{lookahead_conf['strategy']}.py"),
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}
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instance = LookaheadAnalysis(lookahead_conf, strategy_obj)
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instance.current_analysis = analysis
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_table, _headers, data = (LookaheadAnalysisSubFunctions.
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text_table_lookahead_analysis_instances(lookahead_conf, [instance]))
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_table, _headers, data = LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance]
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)
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# check row contents for a try that has too few signals
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assert data[0][0] == 'strategy_test_v3_with_lookahead_bias.py'
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assert data[0][1] == 'strategy_test_v3_with_lookahead_bias'
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assert data[0][2].__contains__('too few trades')
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assert data[0][0] == "strategy_test_v3_with_lookahead_bias.py"
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assert data[0][1] == "strategy_test_v3_with_lookahead_bias"
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assert data[0][2].__contains__("too few trades")
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assert len(data[0]) == 3
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# now check for an error which occurred after enough trades
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@@ -159,46 +163,51 @@ def test_lookahead_helper_text_table_lookahead_analysis_instances(lookahead_conf
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analysis.false_exit_signals = 10
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instance = LookaheadAnalysis(lookahead_conf, strategy_obj)
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instance.current_analysis = analysis
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_table, _headers, data = (LookaheadAnalysisSubFunctions.
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text_table_lookahead_analysis_instances(lookahead_conf, [instance]))
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_table, _headers, data = LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance]
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)
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assert data[0][2].__contains__("error")
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# edit it into not showing an error
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instance.failed_bias_check = False
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_table, _headers, data = (LookaheadAnalysisSubFunctions.
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text_table_lookahead_analysis_instances(lookahead_conf, [instance]))
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assert data[0][0] == 'strategy_test_v3_with_lookahead_bias.py'
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assert data[0][1] == 'strategy_test_v3_with_lookahead_bias'
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_table, _headers, data = LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance]
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)
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assert data[0][0] == "strategy_test_v3_with_lookahead_bias.py"
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assert data[0][1] == "strategy_test_v3_with_lookahead_bias"
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assert data[0][2] # True
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assert data[0][3] == 12
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assert data[0][4] == 11
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assert data[0][5] == 10
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assert data[0][6] == ''
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assert data[0][6] == ""
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analysis.false_indicators.append('falseIndicator1')
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analysis.false_indicators.append('falseIndicator2')
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_table, _headers, data = (LookaheadAnalysisSubFunctions.
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text_table_lookahead_analysis_instances(lookahead_conf, [instance]))
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analysis.false_indicators.append("falseIndicator1")
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analysis.false_indicators.append("falseIndicator2")
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_table, _headers, data = LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance]
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)
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assert data[0][6] == 'falseIndicator1, falseIndicator2'
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assert data[0][6] == "falseIndicator1, falseIndicator2"
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# check amount of returning rows
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assert len(data) == 1
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# check amount of multiple rows
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_table, _headers, data = (LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance, instance, instance]))
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_table, _headers, data = LookaheadAnalysisSubFunctions.text_table_lookahead_analysis_instances(
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lookahead_conf, [instance, instance, instance]
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)
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assert len(data) == 3
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def test_lookahead_helper_export_to_csv(lookahead_conf):
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import pandas as pd
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lookahead_conf['lookahead_analysis_exportfilename'] = "temp_csv_lookahead_analysis.csv"
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lookahead_conf["lookahead_analysis_exportfilename"] = "temp_csv_lookahead_analysis.csv"
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# just to be sure the test won't fail: remove file if exists for some reason
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# (repeat this at the end once again to clean up)
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if Path(lookahead_conf['lookahead_analysis_exportfilename']).exists():
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Path(lookahead_conf['lookahead_analysis_exportfilename']).unlink()
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if Path(lookahead_conf["lookahead_analysis_exportfilename"]).exists():
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Path(lookahead_conf["lookahead_analysis_exportfilename"]).unlink()
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# before we can start we have to delete the
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@@ -208,13 +217,13 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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analysis1.total_signals = 12
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analysis1.false_entry_signals = 11
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analysis1.false_exit_signals = 10
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analysis1.false_indicators.append('falseIndicator1')
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analysis1.false_indicators.append('falseIndicator2')
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lookahead_conf['lookahead_analysis_exportfilename'] = "temp_csv_lookahead_analysis.csv"
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analysis1.false_indicators.append("falseIndicator1")
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analysis1.false_indicators.append("falseIndicator2")
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lookahead_conf["lookahead_analysis_exportfilename"] = "temp_csv_lookahead_analysis.csv"
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strategy_obj1 = {
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'name': "strat1",
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'location': Path("file1.py"),
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"name": "strat1",
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"location": Path("file1.py"),
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}
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instance1 = LookaheadAnalysis(lookahead_conf, strategy_obj1)
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@@ -222,30 +231,28 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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instance1.current_analysis = analysis1
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LookaheadAnalysisSubFunctions.export_to_csv(lookahead_conf, [instance1])
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saved_data1 = pd.read_csv(lookahead_conf['lookahead_analysis_exportfilename'])
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saved_data1 = pd.read_csv(lookahead_conf["lookahead_analysis_exportfilename"])
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expected_values1 = [
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[
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'file1.py', 'strat1', True,
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12, 11, 10,
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"falseIndicator1,falseIndicator2"
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],
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["file1.py", "strat1", True, 12, 11, 10, "falseIndicator1,falseIndicator2"],
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]
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expected_columns = [
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"filename",
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"strategy",
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"has_bias",
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"total_signals",
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"biased_entry_signals",
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"biased_exit_signals",
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"biased_indicators",
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]
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expected_columns = ['filename', 'strategy', 'has_bias',
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'total_signals', 'biased_entry_signals', 'biased_exit_signals',
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'biased_indicators']
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expected_data1 = pd.DataFrame(expected_values1, columns=expected_columns)
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assert Path(lookahead_conf['lookahead_analysis_exportfilename']).exists()
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assert Path(lookahead_conf["lookahead_analysis_exportfilename"]).exists()
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assert expected_data1.equals(saved_data1)
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# 2nd check: update the same strategy (which internally changed or is being retested)
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expected_values2 = [
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[
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'file1.py', 'strat1', False,
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22, 21, 20,
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"falseIndicator3,falseIndicator4"
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],
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["file1.py", "strat1", False, 22, 21, 20, "falseIndicator3,falseIndicator4"],
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]
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expected_data2 = pd.DataFrame(expected_values2, columns=expected_columns)
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@@ -254,12 +261,12 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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analysis2.total_signals = 22
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analysis2.false_entry_signals = 21
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analysis2.false_exit_signals = 20
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analysis2.false_indicators.append('falseIndicator3')
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analysis2.false_indicators.append('falseIndicator4')
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analysis2.false_indicators.append("falseIndicator3")
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analysis2.false_indicators.append("falseIndicator4")
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strategy_obj2 = {
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'name': "strat1",
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'location': Path("file1.py"),
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"name": "strat1",
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"location": Path("file1.py"),
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}
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instance2 = LookaheadAnalysis(lookahead_conf, strategy_obj2)
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@@ -267,21 +274,14 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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instance2.current_analysis = analysis2
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LookaheadAnalysisSubFunctions.export_to_csv(lookahead_conf, [instance2])
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saved_data2 = pd.read_csv(lookahead_conf['lookahead_analysis_exportfilename'])
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saved_data2 = pd.read_csv(lookahead_conf["lookahead_analysis_exportfilename"])
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assert expected_data2.equals(saved_data2)
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# 3rd check: now we add a new row to an already existing file
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expected_values3 = [
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[
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'file1.py', 'strat1', False,
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22, 21, 20,
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"falseIndicator3,falseIndicator4"
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],
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[
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'file3.py', 'strat3', True,
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32, 31, 30, "falseIndicator5,falseIndicator6"
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],
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["file1.py", "strat1", False, 22, 21, 20, "falseIndicator3,falseIndicator4"],
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["file3.py", "strat3", True, 32, 31, 30, "falseIndicator5,falseIndicator6"],
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]
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expected_data3 = pd.DataFrame(expected_values3, columns=expected_columns)
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@@ -291,13 +291,13 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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analysis3.total_signals = 32
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analysis3.false_entry_signals = 31
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analysis3.false_exit_signals = 30
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analysis3.false_indicators.append('falseIndicator5')
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analysis3.false_indicators.append('falseIndicator6')
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lookahead_conf['lookahead_analysis_exportfilename'] = "temp_csv_lookahead_analysis.csv"
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analysis3.false_indicators.append("falseIndicator5")
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analysis3.false_indicators.append("falseIndicator6")
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lookahead_conf["lookahead_analysis_exportfilename"] = "temp_csv_lookahead_analysis.csv"
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strategy_obj3 = {
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'name': "strat3",
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'location': Path("file3.py"),
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"name": "strat3",
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"location": Path("file3.py"),
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}
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instance3 = LookaheadAnalysis(lookahead_conf, strategy_obj3)
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@@ -305,67 +305,66 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
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instance3.current_analysis = analysis3
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LookaheadAnalysisSubFunctions.export_to_csv(lookahead_conf, [instance3])
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saved_data3 = pd.read_csv(lookahead_conf['lookahead_analysis_exportfilename'])
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saved_data3 = pd.read_csv(lookahead_conf["lookahead_analysis_exportfilename"])
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assert expected_data3.equals(saved_data3)
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# remove csv file after the test is done
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if Path(lookahead_conf['lookahead_analysis_exportfilename']).exists():
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Path(lookahead_conf['lookahead_analysis_exportfilename']).unlink()
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if Path(lookahead_conf["lookahead_analysis_exportfilename"]).exists():
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Path(lookahead_conf["lookahead_analysis_exportfilename"]).unlink()
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def test_initialize_single_lookahead_analysis(lookahead_conf, mocker, caplog):
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mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
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mocker.patch(f'{EXMS}.get_fee', return_value=0.0)
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mocker.patch(f'{EXMS}.get_min_pair_stake_amount', return_value=0.00001)
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mocker.patch(f'{EXMS}.get_max_pair_stake_amount', return_value=float('inf'))
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mocker.patch("freqtrade.data.history.get_timerange", get_timerange)
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mocker.patch(f"{EXMS}.get_fee", return_value=0.0)
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mocker.patch(f"{EXMS}.get_min_pair_stake_amount", return_value=0.00001)
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mocker.patch(f"{EXMS}.get_max_pair_stake_amount", return_value=float("inf"))
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patch_exchange(mocker)
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['UNITTEST/BTC']))
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lookahead_conf['pairs'] = ['UNITTEST/USDT']
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mocker.patch(
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"freqtrade.plugins.pairlistmanager.PairListManager.whitelist",
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PropertyMock(return_value=["UNITTEST/BTC"]),
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)
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lookahead_conf["pairs"] = ["UNITTEST/USDT"]
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lookahead_conf['timeframe'] = '5m'
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lookahead_conf['timerange'] = '20180119-20180122'
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start_mock = mocker.patch('freqtrade.optimize.analysis.lookahead.LookaheadAnalysis.start')
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lookahead_conf["timeframe"] = "5m"
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lookahead_conf["timerange"] = "20180119-20180122"
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start_mock = mocker.patch("freqtrade.optimize.analysis.lookahead.LookaheadAnalysis.start")
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strategy_obj = {
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'name': "strategy_test_v3_with_lookahead_bias",
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'location': Path(lookahead_conf['strategy_path'], f"{lookahead_conf['strategy']}.py")
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"name": "strategy_test_v3_with_lookahead_bias",
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"location": Path(lookahead_conf["strategy_path"], f"{lookahead_conf['strategy']}.py"),
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||||
}
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||||
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||||
instance = LookaheadAnalysisSubFunctions.initialize_single_lookahead_analysis(
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||||
lookahead_conf, strategy_obj)
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||||
lookahead_conf, strategy_obj
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||||
)
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||||
assert log_has_re(r"Bias test of .* started\.", caplog)
|
||||
assert start_mock.call_count == 1
|
||||
|
||||
assert instance.strategy_obj['name'] == "strategy_test_v3_with_lookahead_bias"
|
||||
assert instance.strategy_obj["name"] == "strategy_test_v3_with_lookahead_bias"
|
||||
|
||||
|
||||
@pytest.mark.parametrize('scenario', [
|
||||
'no_bias', 'bias1'
|
||||
])
|
||||
@pytest.mark.parametrize("scenario", ["no_bias", "bias1"])
|
||||
def test_biased_strategy(lookahead_conf, mocker, caplog, scenario) -> None:
|
||||
patch_exchange(mocker)
|
||||
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
|
||||
mocker.patch(f'{EXMS}.get_fee', return_value=0.0)
|
||||
mocker.patch(f'{EXMS}.get_min_pair_stake_amount', return_value=0.00001)
|
||||
mocker.patch(f'{EXMS}.get_max_pair_stake_amount', return_value=float('inf'))
|
||||
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
|
||||
PropertyMock(return_value=['UNITTEST/BTC']))
|
||||
lookahead_conf['pairs'] = ['UNITTEST/USDT']
|
||||
mocker.patch("freqtrade.data.history.get_timerange", get_timerange)
|
||||
mocker.patch(f"{EXMS}.get_fee", return_value=0.0)
|
||||
mocker.patch(f"{EXMS}.get_min_pair_stake_amount", return_value=0.00001)
|
||||
mocker.patch(f"{EXMS}.get_max_pair_stake_amount", return_value=float("inf"))
|
||||
mocker.patch(
|
||||
"freqtrade.plugins.pairlistmanager.PairListManager.whitelist",
|
||||
PropertyMock(return_value=["UNITTEST/BTC"]),
|
||||
)
|
||||
lookahead_conf["pairs"] = ["UNITTEST/USDT"]
|
||||
|
||||
lookahead_conf['timeframe'] = '5m'
|
||||
lookahead_conf['timerange'] = '20180119-20180122'
|
||||
lookahead_conf["timeframe"] = "5m"
|
||||
lookahead_conf["timerange"] = "20180119-20180122"
|
||||
|
||||
# Patch scenario Parameter to allow for easy selection
|
||||
mocker.patch('freqtrade.strategy.hyper.HyperStrategyMixin.load_params_from_file',
|
||||
return_value={
|
||||
'params': {
|
||||
"buy": {
|
||||
"scenario": scenario
|
||||
}
|
||||
}
|
||||
})
|
||||
mocker.patch(
|
||||
"freqtrade.strategy.hyper.HyperStrategyMixin.load_params_from_file",
|
||||
return_value={"params": {"buy": {"scenario": scenario}}},
|
||||
)
|
||||
|
||||
strategy_obj = {'name': "strategy_test_v3_with_lookahead_bias"}
|
||||
strategy_obj = {"name": "strategy_test_v3_with_lookahead_bias"}
|
||||
instance = LookaheadAnalysis(lookahead_conf, strategy_obj)
|
||||
instance.start()
|
||||
# Assert init correct
|
||||
@@ -380,10 +379,10 @@ def test_biased_strategy(lookahead_conf, mocker, caplog, scenario) -> None:
|
||||
|
||||
|
||||
def test_config_overrides(lookahead_conf):
|
||||
lookahead_conf['max_open_trades'] = 0
|
||||
lookahead_conf['dry_run_wallet'] = 1
|
||||
lookahead_conf['pairs'] = ['BTC/USDT', 'ETH/USDT', 'SOL/USDT']
|
||||
lookahead_conf["max_open_trades"] = 0
|
||||
lookahead_conf["dry_run_wallet"] = 1
|
||||
lookahead_conf["pairs"] = ["BTC/USDT", "ETH/USDT", "SOL/USDT"]
|
||||
lookahead_conf = LookaheadAnalysisSubFunctions.calculate_config_overrides(lookahead_conf)
|
||||
|
||||
assert lookahead_conf['dry_run_wallet'] == 1000000000
|
||||
assert lookahead_conf['max_open_trades'] == 3
|
||||
assert lookahead_conf["dry_run_wallet"] == 1000000000
|
||||
assert lookahead_conf["max_open_trades"] == 3
|
||||
|
||||
Reference in New Issue
Block a user