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docs/es/docs/advanced/response-headers.md
## Retornar una `Response` directamente Adicionalmente, puedes añadir headers cuando se retorne una `Response` directamente. Crea un response tal como se describe en [Retornar una respuesta directamente](response-directly.md){.internal-link target=_blank} y pasa los headers como un parámetro adicional: ```Python hl_lines="10-12" {!../../../docs_src/response_headers/tutorial001.py!} ```
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docs/en/docs/deployment/concepts.md
We will talk a lot about the running "**process**", so it's useful to have clarity about what it means, and what's the difference with the word "**program**". ### What is a Program The word **program** is commonly used to describe many things: * The **code** that you write, the **Python files**. * The **file** that can be **executed** by the operating system, for example: `python`, `python.exe` or `uvicorn`.
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docs/en/docs/tutorial/testing.md
And your **FastAPI** application might also be composed of several files/modules, etc. ### **FastAPI** app file Let's say you have a file structure as described in [Bigger Applications](bigger-applications.md){.internal-link target=_blank}: ``` . ├── app │ ├── __init__.py │ └── main.py ``` In the file `main.py` you have your **FastAPI** app:
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docs/es/docs/advanced/response-directly.md
``` ## Notas Cuando devuelves una `Response` directamente, los datos no son validados, convertidos (serializados), ni documentados automáticamente. Pero todavía es posible documentarlo como es descrito en [Respuestas adicionales en OpenAPI](additional-responses.md){.internal-link target=_blank}.
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docs/en/docs/contributing.md
### Install requirements using pip After activating the environment as described above: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% ``` </div> It will install all the dependencies and your local FastAPI in your local environment.
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docs/en/docs/advanced/behind-a-proxy.md
```Python hl_lines="9" {!../../../docs_src/behind_a_proxy/tutorial004.py!} ``` and then it won't include it in the OpenAPI schema. ## Mounting a sub-application If you need to mount a sub-application (as described in [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}) while also using a proxy with `root_path`, you can do it normally, as you would expect.
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docs/en/docs/tutorial/response-model.md
!!! info You can also use: * `response_model_exclude_defaults=True` * `response_model_exclude_none=True` as described in <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">the Pydantic docs</a> for `exclude_defaults` and `exclude_none`. #### Data with values for fields with defaults
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docs/en/docs/alternatives.md
As the parameters are described with TypeScript types (similar to Python type hints), editor support is quite good.
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docs/en/docs/advanced/sub-applications.md
### Technical Details: `root_path` When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`. That way, the sub-application will know to use that path prefix for the docs UI.
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docs/pt/docs/advanced/events.md
``` ## Eventos alternativos (deprecados) !!! warning "Aviso" A maneira recomendada para lidar com a *inicialização* e o *encerramento* é usando o parâmetro `lifespan` da aplicação `FastAPI` como descrito acima. Você provavelmente pode pular essa parte. Existe uma forma alternativa para definir a execução dessa lógica durante *inicialização* e durante *encerramento*.
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