tecton.LoggingConfig

class tecton.LoggingConfig(sample_rate=1.0, log_effective_times=False)

Configuration used to describe feature and request logging for Feature Services.

Parameters

• sample_rate (float) – The rate of logging features. Must be between (0, 1]. Defaults to 1.

• log_effective_times (bool) – Whether to log the timestamps of the last update of the logged feature values. Defaults to False.

An example of LoggingConfig declaration as part of FeatureService

from tecton import FeatureService, LoggingConfig

# LoggingConfig is normaly used as a named argument parameter to a FeatureService instance definition.
my_feature_service = FeatureService(
    name="An example of Feature Service"
    # Other named arguments
    ...
    # A LoggingConfig instance
    logging=LoggingConfig(
            sample_rate=0.5,
            log_effective_times=False,
    )
    ...
)

Methods

__init__

Method generated by attrs for class LoggingConfig.

__init__(sample_rate=1.0, log_effective_times=False)

Method generated by attrs for class LoggingConfig.