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Version: 0.7

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 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,
)
...
)

Attributes

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

Methods

__init__(...)

Method generated by attrs for class LoggingConfig.

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)

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