python logging client for SmartDash
Project description
from smartlogger import PipelineTimer
pipeline_timer = PipelineTimer(NAME, save_to_dir="./")
pipeline_timer.start(unique_id)
pipeline_timer.stage_success(unique_id, name="pre_processing")
pipeline_timer.stage_failed(unique_id, name="feature_extraction")
pipeline_timer.stage_success(unique_id, name="feature_extraction")
pipeline_timer.finished(unique_id)
from smartlogger import PipelineLogger
pipeline_logger = PipelineLogger(NAME, save_to_dir="./")
pipeline_logger.debug(u_id, "message_1", 6, {}, [], ...)
pipeline_logger.info(u_id, ....)
pipeline_logger.warning(u_id, ...)
pipeline_logger.exception(u_id, ....)
pipeline_logger.ml_inputs_outputs(u_id, INPUTS, OUTPUTS, MODEL_TYPE="")
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