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try reactivating tb for some tests

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This commit is contained in:
robcaulk
2023-05-14 16:05:49 +00:00
parent 505f36a95f
commit 9242dfa355
3 changed files with 10 additions and 10 deletions
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freqtrade/freqai/freqai_interface.py
+1 -1
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@@ -110,7 +110,7 @@ class IFreqaiModel(ABC):
if self.ft_params.get('principal_component_analysis', False) and self.continual_learning: if self.ft_params.get('principal_component_analysis', False) and self.continual_learning:
self.ft_params.update({'principal_component_analysis': False}) self.ft_params.update({'principal_component_analysis': False})
logger.warning('User tried to use PCA with continual learning. Deactivating PCA.') logger.warning('User tried to use PCA with continual learning. Deactivating PCA.')
self.activate_tensorboard: bool = self.freqai_info.get('activate_tensorboard', False) self.activate_tensorboard: bool = self.freqai_info.get('activate_tensorboard', True)
record_params(config, self.full_path) record_params(config, self.full_path)
freqtrade/freqai/tensorboard/base_tensorboard.py
+1 -1
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@@ -13,7 +13,7 @@ class BaseTensorboardLogger:
logger.warning("Tensorboard is not installed, no logs will be written." logger.warning("Tensorboard is not installed, no logs will be written."
"Ensure torch is installed, or use the torch/RL docker images") "Ensure torch is installed, or use the torch/RL docker images")
def log_scaler(self, tag: str, scalar_value: Any, step: int): def log_scalar(self, tag: str, scalar_value: Any, step: int):
return return
def close(self): def close(self):
tests/freqai/test_freqai_interface.py
+8 -8
View File
@@ -58,9 +58,9 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
can_run_model(model) can_run_model(model)
# test_tb = True test_tb = True
# if is_mac(): if is_mac():
# test_tb = False test_tb = False
model_save_ext = 'joblib' model_save_ext = 'joblib'
freqai_conf.update({"freqaimodel": model}) freqai_conf.update({"freqaimodel": model})
@@ -97,7 +97,7 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
strategy.freqai_info = freqai_conf.get("freqai", {}) strategy.freqai_info = freqai_conf.get("freqai", {})
freqai = strategy.freqai freqai = strategy.freqai
freqai.live = True freqai.live = True
# freqai.activate_tensorboard = test_tb freqai.activate_tensorboard = test_tb
freqai.can_short = can_short freqai.can_short = can_short
freqai.dk = FreqaiDataKitchen(freqai_conf) freqai.dk = FreqaiDataKitchen(freqai_conf)
freqai.dk.live = True freqai.dk.live = True
@@ -245,9 +245,9 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
) )
def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog): def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog):
can_run_model(model) can_run_model(model)
# test_tb = True test_tb = True
# if is_mac(): if is_mac():
# test_tb = False test_tb = False
freqai_conf.get("freqai", {}).update({"save_backtest_models": True}) freqai_conf.get("freqai", {}).update({"save_backtest_models": True})
freqai_conf['runmode'] = RunMode.BACKTEST freqai_conf['runmode'] = RunMode.BACKTEST
@@ -280,7 +280,7 @@ def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog)
strategy.freqai_info = freqai_conf.get("freqai", {}) strategy.freqai_info = freqai_conf.get("freqai", {})
freqai = strategy.freqai freqai = strategy.freqai
freqai.live = False freqai.live = False
# freqai.activate_tensorboard = test_tb freqai.activate_tensorboard = test_tb
freqai.dk = FreqaiDataKitchen(freqai_conf) freqai.dk = FreqaiDataKitchen(freqai_conf)
timerange = TimeRange.parse_timerange("20180110-20180130") timerange = TimeRange.parse_timerange("20180110-20180130")
freqai.dd.load_all_pair_histories(timerange, freqai.dk) freqai.dd.load_all_pair_histories(timerange, freqai.dk)