use model_validate (#26182)

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api/tests/unit_tests/services/test_metadata_bug_complete.py

@@ -118,7 +118,7 @@ class TestMetadataBugCompleteValidation:
 
             # But would crash when trying to create MetadataArgs
             with pytest.raises((ValueError, TypeError)):
-                MetadataArgs(**args)
+                MetadataArgs.model_validate(args)
 
     def test_7_end_to_end_validation_layers(self):
         """Test all validation layers work together correctly."""
@@ -131,7 +131,7 @@ class TestMetadataBugCompleteValidation:
         valid_data = {"type": "string", "name": "test_metadata"}
 
         # Should create valid Pydantic object
-        metadata_args = MetadataArgs(**valid_data)
+        metadata_args = MetadataArgs.model_validate(valid_data)
         assert metadata_args.type == "string"
         assert metadata_args.name == "test_metadata"
 

api/tests/unit_tests/services/test_metadata_nullable_bug.py

@@ -76,7 +76,7 @@ class TestMetadataNullableBug:
             # Step 2: Try to create MetadataArgs with None values
             # This should fail at Pydantic validation level
             with pytest.raises((ValueError, TypeError)):
-                metadata_args = MetadataArgs(**args)
+                metadata_args = MetadataArgs.model_validate(args)
 
         # Step 3: If we bypass Pydantic (simulating the bug scenario)
         # Move this outside the request context to avoid Flask-Login issues