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use native python logger

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This commit is contained in:
gcarq
2018-03-25 21:37:14 +02:00
parent 3f8d7dae39
commit fa7f74b4bc
14 changed files with 142 additions and 152 deletions
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35
freqtrade/optimize/hyperopt.py
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@@ -31,6 +31,9 @@ from freqtrade.optimize.backtesting import Backtesting
from user_data.hyperopt_conf import hyperopt_optimize_conf
logger = logging.getLogger(__name__)
class Hyperopt(Backtesting):
"""
Hyperopt class, this class contains all the logic to run a hyperopt simulation
@@ -42,11 +45,6 @@ class Hyperopt(Backtesting):
def __init__(self, config: Dict[str, Any]) -> None:
super().__init__(config)
# Rename the logging to display Hyperopt file instead of Backtesting
self.logging = Logger(__name__, level=config['loglevel'])
self.logger = self.logging.get_logger()
# set TARGET_TRADES to suit your number concurrent trades so its realistic
# to the number of days
self.target_trades = 600
@@ -194,14 +192,14 @@ class Hyperopt(Backtesting):
"""
Save hyperopt trials to file
"""
self.logger.info('Saving Trials to \'%s\'', self.trials_file)
logger.info('Saving Trials to \'%s\'', self.trials_file)
pickle.dump(self.trials, open(self.trials_file, 'wb'))
def read_trials(self) -> Trials:
"""
Read hyperopt trials file
"""
self.logger.info('Reading Trials from \'%s\'', self.trials_file)
logger.info('Reading Trials from \'%s\'', self.trials_file)
trials = pickle.load(open(self.trials_file, 'rb'))
os.remove(self.trials_file)
return trials
@@ -212,7 +210,7 @@ class Hyperopt(Backtesting):
"""
vals = json.dumps(self.trials.best_trial['misc']['vals'], indent=4)
results = self.trials.best_trial['result']['result']
self.logger.info('Best result:\n%s\nwith values:\n%s', results, vals)
logger.info('Best result:\n%s\nwith values:\n%s', results, vals)
def log_results(self, results) -> None:
"""
@@ -226,7 +224,7 @@ class Hyperopt(Backtesting):
results['result'],
results['loss']
)
self.logger.info(log_msg)
logger.info(log_msg)
else:
print('.', end='')
sys.stdout.flush()
@@ -511,8 +509,8 @@ class Hyperopt(Backtesting):
self.processed = self.tickerdata_to_dataframe(data)
if self.config.get('mongodb'):
self.logger.info('Using mongodb ...')
self.logger.info(
logger.info('Using mongodb ...')
logger.info(
'Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!'
)
@@ -522,7 +520,7 @@ class Hyperopt(Backtesting):
exp_key='exp1'
)
else:
self.logger.info('Preparing Trials..')
logger.info('Preparing Trials..')
signal.signal(signal.SIGINT, self.signal_handler)
# read trials file if we have one
if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
@@ -530,16 +528,13 @@ class Hyperopt(Backtesting):
self.current_tries = len(self.trials.results)
self.total_tries += self.current_tries
self.logger.info(
logger.info(
'Continuing with trials. Current: %d, Total: %d',
self.current_tries,
self.total_tries
)
try:
# change the Logging format
self.logging.set_format('\n%(message)s')
best_parameters = fmin(
fn=self.generate_optimizer,
space=self.hyperopt_space(),
@@ -563,11 +558,11 @@ class Hyperopt(Backtesting):
best_parameters
)
self.logger.info('Best parameters:\n%s', json.dumps(best_parameters, indent=4))
logger.info('Best parameters:\n%s', json.dumps(best_parameters, indent=4))
if 'roi_t1' in best_parameters:
self.logger.info('ROI table:\n%s', self.generate_roi_table(best_parameters))
logger.info('ROI table:\n%s', self.generate_roi_table(best_parameters))
self.logger.info('Best Result:\n%s', best_result)
logger.info('Best Result:\n%s', best_result)
# Store trials result to file to resume next time
self.save_trials()
@@ -576,7 +571,7 @@ class Hyperopt(Backtesting):
"""
Hyperopt SIGINT handler
"""
self.logger.info(
logger.info(
'Hyperopt received %s',
signal.Signals(sig).name
)