refactor(workflow): inject credential/model access ports into LLM nodes (#32569)

Signed-off-by: -LAN- <laipz8200@outlook.com>

api/tests/unit_tests/services/dataset_service_update_delete.py

@@ -642,8 +642,16 @@ class TestDatasetServiceUpdateRagPipelineDatasetSettings:
 
         # Mock embedding model
         mock_embedding_model = Mock()
-        mock_embedding_model.model = "text-embedding-ada-002"
+        mock_embedding_model.model_name = "text-embedding-ada-002"
         mock_embedding_model.provider = "openai"
+        mock_embedding_model.credentials = {}
+
+        mock_model_schema = Mock()
+        mock_model_schema.features = []
+
+        mock_text_embedding_model = Mock()
+        mock_text_embedding_model.get_model_schema.return_value = mock_model_schema
+        mock_embedding_model.model_type_instance = mock_text_embedding_model
 
         mock_model_instance = Mock()
         mock_model_instance.get_model_instance.return_value = mock_embedding_model

api/tests/unit_tests/services/test_dataset_service.py

@@ -174,7 +174,7 @@ class DatasetServiceTestDataFactory:
             Mock: Embedding model mock with model and provider attributes
         """
         embedding_model = Mock()
-        embedding_model.model = model
+        embedding_model.model_name = model
         embedding_model.provider = provider
         return embedding_model
 
@@ -434,7 +434,7 @@ class TestDatasetServiceCreateDataset:
         # Assert
         assert result.indexing_technique == "high_quality"
         assert result.embedding_model_provider == embedding_model.provider
-        assert result.embedding_model == embedding_model.model
+        assert result.embedding_model == embedding_model.model_name
         mock_model_manager_instance.get_default_model_instance.assert_called_once_with(
             tenant_id=tenant_id, model_type=ModelType.TEXT_EMBEDDING
         )

api/tests/unit_tests/services/test_dataset_service_create_dataset.py

@@ -46,7 +46,7 @@ class DatasetCreateTestDataFactory:
     def create_embedding_model_mock(model: str = "text-embedding-ada-002", provider: str = "openai") -> Mock:
         """Create a mock embedding model."""
         embedding_model = Mock()
-        embedding_model.model = model
+        embedding_model.model_name = model
         embedding_model.provider = provider
         return embedding_model
 
@@ -244,7 +244,7 @@ class TestDatasetServiceCreateEmptyDataset:
         # Assert
         assert result.indexing_technique == "high_quality"
         assert result.embedding_model_provider == embedding_model.provider
-        assert result.embedding_model == embedding_model.model
+        assert result.embedding_model == embedding_model.model_name
         mock_model_manager_instance.get_default_model_instance.assert_called_once_with(
             tenant_id=tenant_id, model_type=ModelType.TEXT_EMBEDDING
         )