Analyzer - Enhance logging information for diagnosis rule op baseline errors. (#689)

Improves logging info for diagnosis rule op baseline errors. This allows
developers to easily detect errors in their rule files as well as
baseline files, improving end-user experience.

superbench/analyzer/diagnosis_rule_op.py

@@ -131,9 +131,12 @@ def variance(data_row, rule, summary_data_row, details, categories):
                 val = data_row[metric]
                 baseline = rule['metrics'][metric]
                 if baseline is None or baseline == 0:
-                    logger.log_and_raise(
-                        exception=ValueError, msg='invalid baseline 0 or baseline not found in variance rule'
-                    )
+                    error_msg = (
+                        'For metric: {}, the baseline value {} is invalid for variance calculation. '
+                        'The node measured value for this metric is: {:.4f}. '
+                        'Review your baseline and rule files.'
+                    ).format(metric, baseline, val)
+                    logger.log_and_raise(exception=ValueError, msg=error_msg)
                 var = (val - baseline) / baseline
                 summary_data_row[metric] = var
                 violate_metric = eval(rule['criteria'])(var)

tests/analyzer/test_ruleop.py

@@ -86,7 +86,14 @@ def test_rule_op(self):
         ]
 
         for rule in false_rule_and_baselines:
-            self.assertRaises(ValueError, RuleOp.variance, data_row, rule, summary_data_row, details, categories)
+            with self.assertRaises(ValueError) as cm:
+                RuleOp.variance(data_row, rule, summary_data_row, details, categories)
+            error_msg = str(cm.exception)
+            self.assertIn('the baseline value', error_msg)
+            self.assertIn('is invalid', error_msg)
+            # Verify metric name appears in error
+            metric = next(iter(rule['metrics'].keys()))
+            self.assertIn(f'For metric: {metric}', error_msg)
 
         # Positive case
         true_baselines = [