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SIENTIAPDE-1222

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Refactor MLFlow logging to improve data output clarity

- Updated the debug logging to directly capture the output of data.to_csv, enhancing traceability of processed input data.
- Removed redundant debug statements for raw response data to streamline logging and focus on essential information.
This commit is contained in:
vitor-aignosi
2025-09-15 15:16:27 -03:00
parent df7ce9e79b
commit a817d9855b
1 changed files with 2 additions and 5 deletions
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laborious/activities/mlflow.py
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@@ -154,18 +154,15 @@ class MLFlow(BaseActivity):
data.columns.name = None data.columns.name = None
self.debug("Processed input data:", metadata) self.debug("Processed input data:", metadata)
data.to_csv('data.csv') self.debug(data.to_csv('data.csv'), metadata)
self.debug(data.to_string(), metadata)
# Request transformation from MLFlow model # Request transformation from MLFlow model
response_data = self.model_monitoring_repository.transform( response_data = self.model_monitoring_repository.transform(
model_name, data, model_config model_name, data, model_config
) )
self.debug("Raw response data:", metadata)
self.debug(response_data, metadata)
if response_data['success']: if response_data['success']:
response_dataframe = DataFrame(response_data['content']) response_dataframe = DataFrame(response_data['content'])
try: try:
response_dataframe = self.detect_and_parse_datetime_index( response_dataframe = self.detect_and_parse_datetime_index(