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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/how-to/separate-openapi-schemas.md
That means that, clients using your API don't have to check if the value exists or not, they can **assume the field will always be there**, but just that in some cases it will have the default value of `None`. The way to describe this in OpenAPI, is to mark that field as **required**, because it will always be there. Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:
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docs/en/docs/tutorial/schema-extra-example.md
That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs. === "Pydantic v2" In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic's docs: Model Config</a>.
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docs/pt/docs/tutorial/schema-extra-example.md
Aqui estão várias formas de se fazer isso. ## `schema_extra` do Pydantic Você pode declarar um `example` para um modelo Pydantic usando `Config` e `schema_extra`, conforme descrito em <a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Documentação do Pydantic: Schema customization</a>: ```Python hl_lines="15-23"
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docs/es/docs/async.md
### Concurrencia y Hamburguesas El concepto de código **asíncrono** descrito anteriormente a veces también se llama **"concurrencia"**. Es diferente del **"paralelismo"**. **Concurrencia** y **paralelismo** ambos se relacionan con "cosas diferentes que suceden más o menos al mismo tiempo".
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docs/en/docs/deployment/docker.md
and you are already setting **replication** at the cluster level, with multiple **containers**. In those cases, you are better off **building an image from scratch** as described above: [Build a Docker Image for FastAPI](#build-a-docker-image-for-fastapi). This image would be useful mainly in the special cases described above in [Containers with Multiple Processes and Special Cases](#containers-with-multiple-processes-and-special-cases). For example, if your application is **simple enough**...
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docs/en/docs/advanced/response-headers.md
You can also declare the `Response` parameter in dependencies, and set headers (and cookies) in them. ## Return a `Response` directly You can also add headers when you return a `Response` directly. Create a response as described in [Return a Response Directly](response-directly.md){.internal-link target=_blank} and pass the headers as an additional parameter: ```Python hl_lines="10-12" {!../../../docs_src/response_headers/tutorial001.py!} ```
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docs/es/docs/tutorial/first-steps.md
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docs/en/docs/tutorial/body-updates.md
have a model with all the attributes marked as optional (with default values or `None`). To distinguish from the models with all optional values for **updates** and models with required values for **creation**, you can use the ideas described in [Extra Models](extra-models.md){.internal-link target=_blank}....
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