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fastapi/param_functions.py
""" ), ] = _Unset, # TODO: update when deprecating Pydantic v1, import these types # validation_alias: str | AliasPath | AliasChoices | None validation_alias: Annotated[ Union[str, None], Doc( """ 'Whitelist' validation step. The parameter field will be the single one allowed by the alias or set of aliases defined. """ ),
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fastapi/params.py
alias: Optional[str] = None, alias_priority: Union[int, None] = _Unset, # TODO: update when deprecating Pydantic v1, import these types # validation_alias: str | AliasPath | AliasChoices | None validation_alias: Union[str, None] = None, serialization_alias: Union[str, None] = None, title: Optional[str] = None, description: Optional[str] = None,
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tests/test_include_router_defaults_overrides.py
"400": {"description": "Client error level 0"}, "401": {"description": "Client error level 1"}, "422": { "description": "Validation Error", "content": { "application/json": { "schema": {
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docs/en/docs/benchmarks.md
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docs/en/docs/alternatives.md
Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data. Without a data validation system, you would have to do all the checks by hand, in code.
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docs_src/handling_errors/tutorial006.py
return await http_exception_handler(request, exc) @app.exception_handler(RequestValidationError) async def validation_exception_handler(request, exc): print(f"OMG! The client sent invalid data!: {exc}") return await request_validation_exception_handler(request, exc) @app.get("/items/{item_id}") async def read_item(item_id: int): if item_id == 3: raise HTTPException(status_code=418, detail="Nope! I don't like 3.")
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docs/fr/docs/tutorial/query-params-str-validations.md
## Rajouter plus de validation Vous pouvez aussi rajouter un second paramètre `min_length` : ```Python hl_lines="9" {!../../../docs_src/query_params_str_validations/tutorial003.py!} ``` ## Ajouter des validations par expressions régulières
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docs/en/docs/tutorial/body-fields.md
As these keys may not necessarily be part of the OpenAPI specification, some OpenAPI tools, for example [the OpenAPI validator](https://validator.swagger.io/), may not work with your generated schema. ## Recap You can use Pydantic's `Field` to declare extra validations and metadata for model attributes.
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docs/vi/docs/features.md
Nhưng mặc định, tất cả **đều hoạt động**. ### Validation * Validation cho đa số (hoặc tất cả?) **các kiểu dữ liệu** Python, bao gồm: * JSON objects (`dict`). * Mảng JSON (`list`) định nghĩa kiểu dữ liệu từng phần tử. * Xâu (`str`), định nghĩa độ dài lớn nhất, nhỏ nhất. * Số (`int`, `float`) với các giá trị lớn nhất, nhỏ nhất, etc. * Validation cho nhiều kiểu dữ liệu bên ngoài như: * URL.
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tests/test_tutorial/test_bigger_applications/test_main_an.py
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