その場合は、標準の `dataclasses` を `pydantic.dataclasses` に置き換えるだけで済みます。これはドロップイン置換です:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. 依然として標準の `dataclasses` から `field` をインポートします。

2. `pydantic.dataclasses` は `dataclasses` のドロップイン置換です。

3. `Author` dataclass は `Item` dataclass のリストを含みます。

4. `Author` dataclass を `response_model` パラメータとして使用しています。

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

вы получите текстовую версию:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Переопределите обработчик ошибок `HTTPException` { #override-the-httpexception-error-handler }

			return err
		}
	} else {
		// Evaluate the (only) argument
		val, err = e.SFunc.ArgsList[0].evalNode(r, tableAlias)
		if err != nil {
			return err
		}
	}

	if val.IsNull() {
		// E.g. the column or field does not exist in the
		// record - in all such cases the aggregation is not
		// updated.
		return nil
	}

	argVal := val
	if funcName != aggFnCount {
		// All aggregation functions, except COUNT require a

這種情況下，你可以使用「自訂驗證函式」，它會在一般驗證之後套用（例如先確認值是 `str` 之後）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 來達成。

/// tip | 提示

Pydantic 也有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等等。🤓

///

Deployment-related operations.
     * Behavior change:
        * Deployment creates ReplicaSets instead of ReplicationControllers.
        * Scale subresource now has a new <code>targetSelector</code> field in its status. This field supports the new set-based selectors supported
by Deployments, but in a serialized format.
     * Spec change:

    private static final String CONVERSION_ERROR = "Cannot convert: \"%s\" to: %s";

    // ----------------------------------------------------------------------
    // Implementation fields
    // ----------------------------------------------------------------------

    private final Collection<TypeConverterBinding> typeConverterBindings;

  }

  public void testTransform_errorAfterCancellation() throws Exception {
    class Transformer implements Function<Object, Object> {
      @SuppressWarnings("nullness:initialization.field.uninitialized")
      ListenableFuture<Object> output;

      @Override
      public Object apply(Object input) {
        output.cancel(false);
        throw new SomeError();
      }
    }

  }

  public void testTransform_errorAfterCancellation() throws Exception {
    class Transformer implements Function<Object, Object> {
      @SuppressWarnings("nullness:initialization.field.uninitialized")
      ListenableFuture<Object> output;

      @Override
      public Object apply(Object input) {
        output.cancel(false);
        throw new SomeError();
      }
    }

		if err := DB.ScanRows(rows, &reusedVar); err != nil {
			t.Errorf("should get no error, but got %v", err)
		}
	}

	if !reflect.DeepEqual(reusedVar, Result{}) {
		t.Errorf("Should find zero values in struct fields, got %+v\n", reusedVar)
	}
}

func TestScanToEmbedded(t *testing.T) {
	person1 := Person{Name: "person 1"}
	person2 := Person{Name: "person 2"}
	DB.Save(&person1).Save(&person2)

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

eine Textversion mit:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Überschreiben des `HTTPException`-Fehlerhandlers { #override-the-httpexception-error-handler }