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Implement error handling for MLflow score logging #1259

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Implement error handling for MLflow score logging #1259

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19 changes: 12 additions & 7 deletions packages/evaluate/src/weathergen/evaluate/run_evaluation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -212,13 +212,18 @@ def evaluate_from_config(cfg, mlflow_client: MlflowClient | None) -> None:
parent_run_id=parent_run.info.run_id,
nested=True,
) as run:
mlflow.set_tags(MlFlowUpload.run_tags(run_id, phase, from_run_id))
log_scores(
reordered_dict[run_id],
mlflow_client,
run.info.run_id,
channels_set,
)
try:
mlflow.set_tags(MlFlowUpload.run_tags(run_id, phase, from_run_id))
log_scores(
reordered_dict[run_id],
mlflow_client,
run.info.run_id,
channels_set,
)
except Exception as e:
_logger.error(f"Error logging scores for run {run_id}: {e}")
mlflow.end_run(status="FAILED")
raise

# plot summary
if scores_dict and cfg.evaluation.get("summary_plots", True):
Expand Down