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docs/de/docs/tutorial/first-steps.md
### Testen Sie es Öffnen Sie Ihren Browser unter <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000.</a> Sie werden folgende JSON-Response sehen: ```JSON {"message": "Hello World"} ``` ### Interaktive API-Dokumentation Gehen Sie als Nächstes auf <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs </a>.
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tests/test_response_code_no_body.py
from pydantic import BaseModel app = FastAPI() class JsonApiResponse(JSONResponse): media_type = "application/vnd.api+json" class Error(BaseModel): status: str title: str class JsonApiError(BaseModel): errors: typing.List[Error] @app.get( "/a", status_code=204, response_class=JsonApiResponse,
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docs/zh/docs/index.md
<div class="termy"> ```console $ pip install fastapi ---> 100% ``` </div> 你还会需要一个 ASGI 服务器,生产环境可以使用 <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> 或者 <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>。 <div class="termy"> ```console $ pip install "uvicorn[standard]" ---> 100% ``` </div>
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docs/ru/docs/deployment/docker.md
* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a> * <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a> * <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a> * <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a> и т.п.
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docs/en/docs/advanced/behind-a-proxy.md
## Testing locally with Traefik You can easily run the experiment locally with a stripped path prefix using <a href="https://docs.traefik.io/" class="external-link" target="_blank">Traefik</a>. <a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Download Traefik</a>, it's a single binary, you can extract the compressed file and run it directly from the terminal.
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tests/test_compat.py
name="foo", field_info=field_info, type_=Union[str, List[int]], class_validators={}, model_config=BaseConfig, ) assert not is_pv1_scalar_field(field) @needs_pydanticv2 def test_get_model_config(): # For coverage in Pydantic v2 class Foo(BaseModel): model_config = ConfigDict(from_attributes=True) foo = Foo()
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fastapi/utils.py
alias: Optional[str] = None, mode: Literal["validation", "serialization"] = "validation", ) -> ModelField: """ Create a new response field. Raises if type_ is invalid. """ class_validators = class_validators or {} if PYDANTIC_V2: field_info = field_info or FieldInfo( annotation=type_, default=default, alias=alias ) else: field_info = field_info or FieldInfo()
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docs/fr/docs/tutorial/path-params.md
```Python hl_lines="6-7" {!../../../docs_src/path_params/tutorial001.py!} ``` La valeur du paramètre `item_id` sera transmise à la fonction dans l'argument `item_id`.
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docs/ru/docs/tutorial/path-params.md
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docs/zh/docs/tutorial/path-params.md
运行示例并访问 <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>,返回的响应如下: ```JSON {"item_id":3} ``` !!! check "检查" 注意,函数接收并返回的值是 `3`( `int`),不是 `"3"`(`str`)。 **FastAPI** 通过类型声明自动<abbr title="将来自 HTTP 请求中的字符串转换为 Python 数据类型">**解析**请求中的数据</abbr>。 ## 数据校验
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