Logging in audiomate is done using the standard Python logging facilities.
By default, only messages of severity
Warning or higher are printed to
Audiomate provides detailed information about progress of long-running tasks with messages of severity
To enable logging of messages of lower severity, configure Python’s logging system as follows:
import logging logging.basicConfig( level=logging.DEBUG, format='%(asctime)-15s %(name)s %(message)s' )
For further information check the python logging documentation.
Create log messages in audiomate¶
Logging in audiomate is done with a single logger.
The logger is available in
from audiomate import logutil logger = logutil.getLogger() def some_functionality(): logger.debug('message')
Since audiomate has a lot of long-running tasks, a special function for logging the progress of a loop can be used. It basically is a wrapper around an iterable to check and log the progress. In order to keep the logs as small as possible, progress is logged in steps of 5 minutes.
from audiomate import logutil logger = logutil.getLogger() for utterance in logger.progress( corpus.utterances.values(), total=corpus.num_utterances, description='Process utterances'): # Do something with the utterance, # that takes up some time.