diff --git a/fedot/core/caching/pipelines_cache.py b/fedot/core/caching/pipelines_cache.py
index 371b49247e..23a9acc6e8 100644
--- a/fedot/core/caching/pipelines_cache.py
+++ b/fedot/core/caching/pipelines_cache.py
@@ -35,8 +35,12 @@ def save_nodes(self, nodes: Union[PipelineNode, List[PipelineNode]], fold_id: Op
             ]
             self._db.add_operations(mapped)
         except Exception as ex:
-            unexpected_exc = not (isinstance(ex, sqlite3.DatabaseError) and 'disk is full' in str(ex))
-            self.log.warning(f'Nodes can not be saved: {ex}. Continue', exc=ex, raise_if_test=unexpected_exc)
+            exc_is_expected = (isinstance(ex, sqlite3.DatabaseError) and 'disk is full' in str(ex))
+            msg = 'Nodes can not be saved'
+            if exc_is_expected:
+                self.log.warning(msg, exc_info=ex)
+            else:
+                self.log.log_or_raise('warning', ValueError(msg))
 
     def save_pipeline(self, pipeline: 'Pipeline', fold_id: Optional[int] = None):
         """
@@ -61,8 +65,8 @@ def try_load_nodes(self, nodes: Union[PipelineNode, List[PipelineNode]], fold_id
                     nodes_lst[idx].fitted_operation = cached_op
                 else:
                     nodes_lst[idx].fitted_operation = None
-        except Exception as ex:
-            self.log.warning(f'Cache can not be loaded: {ex}. Continue.', exc=ex, raise_if_test=True)
+        except Exception:
+            self.log.log_or_raise('info', ValueError('Cache can not be loaded.'))
 
     def try_load_into_pipeline(self, pipeline: 'Pipeline', fold_id: Optional[int] = None):
         """
diff --git a/fedot/core/caching/preprocessing_cache.py b/fedot/core/caching/preprocessing_cache.py
index 4b0de47870..25299bae45 100644
--- a/fedot/core/caching/preprocessing_cache.py
+++ b/fedot/core/caching/preprocessing_cache.py
@@ -30,8 +30,8 @@ def try_load_preprocessor(self, pipeline: 'Pipeline', fold_id: Union[int, None])
             processors = self._db.get_preprocessor(structural_id)
             if processors:
                 pipeline.encoder, pipeline.imputer = processors
-        except Exception as ex:
-            self.log.warning(f'Preprocessor search error: {ex}', raise_if_test=True)
+        except Exception:
+            self.log.log_or_raise('warning', ValueError('Preprocessor search error'))
 
     def add_preprocessor(self, pipeline: 'Pipeline', fold_id: Optional[Union[int, None]] = None):
         """
diff --git a/fedot/core/composer/metrics.py b/fedot/core/composer/metrics.py
index 20c6fdd395..221ca27588 100644
--- a/fedot/core/composer/metrics.py
+++ b/fedot/core/composer/metrics.py
@@ -89,8 +89,8 @@ def get_value(cls, pipeline: Pipeline, reference_data: InputData,
                               title=f'Forecast with metric {round(metric, 4)}',
                               save_path=Path(save_path, 'forecast.png'))
 
-        except Exception as ex:
-            pipeline.log.info(f'Metric can not be evaluated because of: {ex}', raise_if_test=True)
+        except Exception:
+            pipeline.log.log_or_raise('info', ValueError('Metric can not be evaluated'))
 
         return metric
 
diff --git a/fedot/core/optimisers/objective/data_objective_eval.py b/fedot/core/optimisers/objective/data_objective_eval.py
index 7c6d125f30..a5c7b944f8 100644
--- a/fedot/core/optimisers/objective/data_objective_eval.py
+++ b/fedot/core/optimisers/objective/data_objective_eval.py
@@ -80,8 +80,8 @@ def evaluate(self, graph: Pipeline) -> Fitness:
             if evaluated_fitness.valid:
                 folds_metrics.append(evaluated_fitness.values)
             else:
-                self._log.warning(f'Invalid fitness after objective evaluation. '
-                                  f'Skipping the graph: {graph_id}', raise_if_test=True)
+                self._log.log_or_raise('warning', ValueError(f'Invalid fitness after objective evaluation. '
+                                                             f'Skipping the graph: {graph_id}'))
             if self._do_unfit:
                 graph.unfit()
         if folds_metrics: