Move check and add log warning
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@@ -157,7 +157,7 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
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("CatboostClassifier", 6, "freqai_test_classifier")
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],
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)
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def test_start_backtesting(mocker, freqai_conf, model, num_files, strat):
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def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog):
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freqai_conf.get("freqai", {}).update({"save_backtest_models": True})
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freqai_conf['runmode'] = RunMode.BACKTEST
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Trade.use_db = False
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@@ -182,13 +182,21 @@ def test_start_backtesting(mocker, freqai_conf, model, num_files, strat):
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df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
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for i in range(5):
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df[f'constant_{i}'] = i
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df.loc[:, f'%-constant_{i}'] = i
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metadata = {"pair": "LTC/BTC"}
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freqai.start_backtesting(df, metadata, freqai.dk)
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model_folders = [x for x in freqai.dd.full_path.iterdir() if x.is_dir()]
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assert len(model_folders) == num_files
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assert log_has_re(
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"Removed features ",
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caplog,
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)
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assert log_has_re(
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"Removed 5 features from prediction features, ",
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caplog,
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)
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Backtesting.cleanup()
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shutil.rmtree(Path(freqai.dk.full_path))
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@@ -210,8 +218,6 @@ def test_start_backtesting_subdaily_backtest_period(mocker, freqai_conf):
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corr_df, base_df = freqai.dd.get_base_and_corr_dataframes(sub_timerange, "LTC/BTC", freqai.dk)
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df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
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for i in range(5):
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df[f'constant_{i}'] = i
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metadata = {"pair": "LTC/BTC"}
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freqai.start_backtesting(df, metadata, freqai.dk)
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@@ -237,8 +243,6 @@ def test_start_backtesting_from_existing_folder(mocker, freqai_conf, caplog):
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corr_df, base_df = freqai.dd.get_base_and_corr_dataframes(sub_timerange, "LTC/BTC", freqai.dk)
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df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
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for i in range(5):
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df[f'constant_{i}'] = i
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metadata = {"pair": "ADA/BTC"}
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freqai.start_backtesting(df, metadata, freqai.dk)
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@@ -262,8 +266,7 @@ def test_start_backtesting_from_existing_folder(mocker, freqai_conf, caplog):
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corr_df, base_df = freqai.dd.get_base_and_corr_dataframes(sub_timerange, "LTC/BTC", freqai.dk)
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df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
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for i in range(5):
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df[f'constant_{i}'] = i
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freqai.start_backtesting(df, metadata, freqai.dk)
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assert log_has_re(
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@@ -320,8 +323,7 @@ def test_follow_mode(mocker, freqai_conf):
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freqai.dd.load_all_pair_histories(timerange, freqai.dk)
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df = strategy.dp.get_pair_dataframe('ADA/BTC', '5m')
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for i in range(5):
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df[f'constant_{i}'] = i
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freqai.start_live(df, metadata, strategy, freqai.dk)
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assert len(freqai.dk.return_dataframe.index) == 5702
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