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  1. docs/zh/docs/tutorial/handling-errors.md

    被替换为了以下文本格式的错误信息:
    
    ```
    1 validation error
    path -> item_id
      value is not a valid integer (type=type_error.integer)
    
    ```
    
    ### `RequestValidationError` vs `ValidationError`
    
    !!! warning "警告"
    
        如果您觉得现在还用不到以下技术细节,可以先跳过下面的内容。
    
    
    `RequestValidationError` 是 Pydantic 的 <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a> 的子类。
    
    Plain Text
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  2. docs/em/docs/tutorial/handling-errors.md

    ```
    1 validation error
    path -> item_id
      value is not a valid integer (type=type_error.integer)
    ```
    
    #### `RequestValidationError` 🆚 `ValidationError`
    
    !!! warning
        👫 📡 ℹ 👈 👆 💪 🚶 🚥 ⚫️ 🚫 ⚠ 👆 🔜.
    
    `RequestValidationError` 🎧-🎓 Pydantic <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
    
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  3. docs/en/docs/tutorial/handling-errors.md

    The status codes in the 400 range mean that there was an error from the client.
    
    Remember all those **"404 Not Found"** errors (and jokes)?
    
    ## Use `HTTPException`
    
    To return HTTP responses with errors to the client you use `HTTPException`.
    
    ### Import `HTTPException`
    
    ```Python hl_lines="1"
    {!../../../docs_src/handling_errors/tutorial001.py!}
    ```
    
    ### Raise an `HTTPException` in your code
    
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  4. tests/test_multi_body_errors.py

                        "loc": ["body", 0, "name"],
                        "msg": "field required",
                        "type": "value_error.missing",
                    },
                    {
                        "loc": ["body", 0, "age"],
                        "msg": "value is not a valid decimal",
                        "type": "type_error.decimal",
                    },
                    {
                        "loc": ["body", 1, "name"],
    Python
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  5. tests/test_multi_query_errors.py

                        "msg": "value is not a valid integer",
                        "type": "type_error.integer",
                    },
                    {
                        "loc": ["query", "q", 1],
                        "msg": "value is not a valid integer",
                        "type": "type_error.integer",
                    },
                ]
            }
        )
    
    
    def test_openapi_schema():
    Python
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  6. tests/test_additional_responses_response_class.py

                        "title": "JsonApiError",
                        "required": ["errors"],
                        "type": "object",
                        "properties": {
                            "errors": {
                                "title": "Errors",
                                "type": "array",
                                "items": {"$ref": "#/components/schemas/Error"},
                            }
                        },
                    },
    Python
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  7. tests/test_response_code_no_body.py

                        "title": "JsonApiError",
                        "required": ["errors"],
                        "type": "object",
                        "properties": {
                            "errors": {
                                "title": "Errors",
                                "type": "array",
                                "items": {"$ref": "#/components/schemas/Error"},
                            }
                        },
                    },
    Python
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  8. docs_src/handling_errors/tutorial005.py

    async def validation_exception_handler(request: Request, exc: RequestValidationError):
        return JSONResponse(
            status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
            content=jsonable_encoder({"detail": exc.errors(), "body": exc.body}),
        )
    
    
    class Item(BaseModel):
        title: str
        size: int
    
    
    @app.post("/items/")
    async def create_item(item: Item):
    Python
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  9. docs_src/path_operation_advanced_configuration/tutorial007.py

            raise HTTPException(status_code=422, detail="Invalid YAML")
        try:
            item = Item.model_validate(data)
        except ValidationError as e:
            raise HTTPException(status_code=422, detail=e.errors(include_url=False))
    Python
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  10. tests/test_additional_responses_custom_validationerror.py

                        "title": "JsonApiError",
                        "required": ["errors"],
                        "type": "object",
                        "properties": {
                            "errors": {
                                "title": "Errors",
                                "type": "array",
                                "items": {"$ref": "#/components/schemas/Error"},
                            }
                        },
                    },
    Python
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