diff --git a/omniadvisor/src/omniadvisor/interface/config_tuning.py b/omniadvisor/src/omniadvisor/interface/config_tuning.py
index 059f84be1d219b5824dab549e34cbd7eb51e12cb..e69bc36407d20d84076b2939c0205cdfd38a7405 100644
--- a/omniadvisor/src/omniadvisor/interface/config_tuning.py
+++ b/omniadvisor/src/omniadvisor/interface/config_tuning.py
@@ -3,9 +3,10 @@ import signal
 from typing import Optional
 
 from algo.expert.tuning import ExpertTuner
-from algo.iterative.tuning import IterativeTunner
+from algo.iterative.tuning import IterativeTuner
 from algo.native.tuning import NativeTuner
 from algo.transfer.tuning import TransferTuner
+from algo.common.exceptions import InvalidTuningError
 from common.constant import OA_CONF
 from common.exceptions import NoOptimalConfigError, SystemKilledError, TuningPreconditionError
 from omniadvisor.repository.model.load import Load
@@ -72,11 +73,11 @@ def _single_tuning(load: Load, retest_way: str, tuning_method: str) -> None:
     signal.signal(signal.SIGTERM, handler)
     signal.signal(signal.SIGINT, handler)
 
-    next_config, method_extend = _get_next_config(load=load, tuning_method=tuning_method)
-
-    if not next_config:
-        raise NoOptimalConfigError(f'The recommending config of method {tuning_method} is empty,'
-                                   f' please try other tuning methods.')
+    try:
+        next_config, method_extend = _get_next_config(load=load, tuning_method=tuning_method)
+    except InvalidTuningError as e:
+        global_logger.warning(e)
+        raise NoOptimalConfigError(f'The tuning method {tuning_method} is invalid, please try other tuning methods.') from e
 
     # 用户的default_config上叠加next_config叠加
     global_logger.info("Load config tuning success, get new config to retest.")
@@ -135,7 +136,7 @@ def _get_next_config(load: Load, tuning_method: str) -> tuple[dict, str]:
     # AI迭代调优
     if tuning_method == OA_CONF.TuningMethod.iterative:
         global_logger.info("Use AI iterative optimization method to tuning.")
-        tuner = IterativeTunner(tuning_history=tuning_result_history.to_tuning_data_list())
+        tuner = IterativeTuner(tuning_history=tuning_result_history.to_tuning_data_list())
     # 专家规则调优
     elif tuning_method == OA_CONF.TuningMethod.expert:
         global_logger.info("Use expert rule optimization method to tuning.")
diff --git a/omniadvisor/src/omniadvisor/service/tuning_result/tuning_result.py b/omniadvisor/src/omniadvisor/service/tuning_result/tuning_result.py
index 1b3475a542c8f40d73df9950aa3f0c96b42b819c..f480883f3aba42a285ba813f881f1401095db715 100644
--- a/omniadvisor/src/omniadvisor/service/tuning_result/tuning_result.py
+++ b/omniadvisor/src/omniadvisor/service/tuning_result/tuning_result.py
@@ -187,7 +187,7 @@ class TuningResult:
             config=self.config,
             method=self.method,
             rule=self.method_extend,
-            status=self.status,
+            status=True if self.status == OA_CONF.ExecStatus.success else False,
             runtime=self.runtime,
             trace=trace
         )
diff --git a/omniadvisor/tests/conftest.py b/omniadvisor/tests/conftest.py
index 413cf1eb9866555da8a04ee6074b8c924b3ad162..c56c330cbd6d69cfa213ff03594cfd3c1cdb8e72 100644
--- a/omniadvisor/tests/conftest.py
+++ b/omniadvisor/tests/conftest.py
@@ -30,11 +30,12 @@ def dot_expansion(s):
 
 # 所有算法相关的包，都在这里注册
 to_registers = {
-    'algo.expert.tuning.Trace',
     'algo.common.model.Trace',
-    'algo.expert.tuning.ExpertTuner',
-    'algo.iterative.tuning.IterativeTunner',
     'algo.common.model.TuningData',
+    'algo.common.exceptions.InvalidTuningError',
+    'algo.expert.tuning.ExpertTuner',
+    'algo.expert.tuning.Trace',
+    'algo.iterative.tuning.IterativeTuner',
     'algo.native.tuning.NativeTuner',
     'algo.transfer.tuning.TransferTuner',
 }
diff --git a/omniadvisor/tests/omniadvisor/interface/test_config_tuning.py b/omniadvisor/tests/omniadvisor/interface/test_config_tuning.py
index 6c93ad5575ce6845ed76e7ffe36f6a9b7c146b17..33ba974838d71511c3256c0516faa5e1ebf7be00 100644
--- a/omniadvisor/tests/omniadvisor/interface/test_config_tuning.py
+++ b/omniadvisor/tests/omniadvisor/interface/test_config_tuning.py
@@ -22,7 +22,7 @@ class TestTuning:
 
     @patch('omniadvisor.service.retest_service.float_format')
     @patch('omniadvisor.interface.config_tuning.float_format')
-    @patch('algo.iterative.tuning.IterativeTunner.tune')
+    @patch('algo.iterative.tuning.IterativeTuner.tune')
     @patch('omniadvisor.interface.config_tuning.get_tuning_result_history')
     @patch('omniadvisor.interface.config_tuning.get_tuning_result')
     @patch('omniadvisor.service.retest_service.spark_run')
@@ -61,7 +61,7 @@ class TestTuning:
     @patch('omniadvisor.service.retest_service.float_format')
     @patch('omniadvisor.interface.config_tuning.float_format')
     @patch('omniadvisor.repository.load_repository.LoadRepository.update_best_config')
-    @patch('algo.iterative.tuning.IterativeTunner.tune')
+    @patch('algo.iterative.tuning.IterativeTuner.tune')
     @patch('omniadvisor.interface.config_tuning.remove_tuning_result')
     @patch('omniadvisor.service.retest_service.get_tuning_result')
     @patch('omniadvisor.interface.config_tuning.get_tuning_result_history')
@@ -110,7 +110,7 @@ class TestTuning:
         mock_remove_tuning_result.assert_not_called()
 
     @patch('omniadvisor.interface.config_tuning.remove_tuning_result')
-    @patch('algo.iterative.tuning.IterativeTunner.tune')
+    @patch('algo.iterative.tuning.IterativeTuner.tune')
     @patch('omniadvisor.repository.load_repository.LoadRepository.update_best_config')
     @patch('omniadvisor.interface.config_tuning.get_tuning_result_history')
     @patch('omniadvisor.service.retest_service.spark_run', side_effect=RuntimeError)
@@ -167,7 +167,7 @@ class TestTuning:
         with pytest.raises(TuningPreconditionError, match='Cannot find load id'):
             main()
 
-    @patch('algo.iterative.tuning.IterativeTunner.tune')
+    @patch('algo.iterative.tuning.IterativeTuner.tune')
     @patch('omniadvisor.repository.load_repository.LoadRepository.update_test_config')
     @patch('omniadvisor.interface.config_tuning.get_tuning_result_history')
     @patch('omniadvisor.repository.tuning_record_repository.TuningRecordRepository.create')