tecton.LoggingConfig

Summary

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

Example

An example of LoggingConfig declaration as part of FeatureService:

from tecton import FeatureService, LoggingConfig

# LoggingConfig is normally 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,
    )
    ...
)

Attributes

The attributes are the same as the __init__ method parameters. See below.

Methods

__init__(...)

Parameters

• sample_rate (float) – The rate of logging features. Must be between (0, 1]. (Default: 1.0)

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