nannyml.usage_logging module¶
- class nannyml.usage_logging.SegmentUsageTracker(write_key: Optional[str] = None, machine_metadata: Optional[Dict[str, Any]] = None)[source]¶
Bases:
nannyml.usage_logging.UsageLogger
- SEGMENT_WRITE_KEY = 'lIVZJNAdj2ZaMzAHHnFWP76g7CuwmzGz'¶
- write_key: str¶
- class nannyml.usage_logging.UsageEvent(value)[source]¶
Bases:
str
,enum.Enum
Logged usage events
- CBPE_ESTIMATOR_FIT = 'CBPE estimator fit'¶
- CBPE_ESTIMATOR_RUN = 'CBPE estimator run'¶
- CBPE_PLOT = 'CBPE estimator plot'¶
- CLI_RUN = 'CLI run'¶
- DLE_ESTIMATOR_FIT = 'DLE estimator fit'¶
- DLE_ESTIMATOR_RUN = 'DLE estimator run'¶
- DLE_PLOT = 'DLE estimator plot'¶
- MULTIVAR_DRIFT_CALC_FIT = 'Multivariate reconstruction error drift calculator fit'¶
- MULTIVAR_DRIFT_CALC_RUN = 'Multivariate reconstruction error drift calculator run'¶
- MULTIVAR_DRIFT_PLOT = 'Multivariate drift results plot'¶
- PERFORMANCE_CALC_FIT = 'Realized performance calculator fit'¶
- PERFORMANCE_CALC_RUN = 'Realized performance calculator run'¶
- PERFORMANCE_PLOT = 'Realized performance calculator plot'¶
- RANKER_ALERT_COUNT_RUN = 'Run ranker using alert count'¶
- RANKER_CORRELATION_FIT = 'Fit ranker using correlation with performance'¶
- RANKER_CORRELATION_RUN = 'Run ranker using correlation with performance'¶
- UNIVAR_DRIFT_CALC_FIT = 'Univariate drift calculator fit'¶
- UNIVAR_DRIFT_CALC_RUN = 'Univariate drift calculator run'¶
- UNIVAR_DRIFT_PLOT = 'Univariate drift results plot'¶
- WRITE_DB = 'Exported results with DatabaseWriter'¶
- WRITE_PICKLE = 'Exported results with PickleWriter'¶
- WRITE_RAW = 'Exported results with RawFilesWriter'¶
- class nannyml.usage_logging.UsageLogger[source]¶
Bases:
abc.ABC
- log(usage_event: nannyml.usage_logging.UsageEvent, metadata: Optional[Dict[str, Any]] = None)[source]¶
- nannyml.usage_logging.get_logger() nannyml.usage_logging.UsageLogger [source]¶
- nannyml.usage_logging.log_usage(usage_event: nannyml.usage_logging.UsageEvent, metadata: typing.Optional[typing.Dict[str, typing.Any]] = None, metadata_from_self: typing.Optional[typing.List[str]] = None, metadata_from_kwargs: typing.Optional[typing.List[str]] = None, logger: nannyml.usage_logging.UsageLogger = <nannyml.usage_logging.SegmentUsageTracker object>)[source]¶