```

Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

* To pass a *path* or *query* parameter, add it to the URL itself.

FastAPI to nowoczesny, wydajny framework webowy do budowania API z użyciem Pythona bazujący na standardowym typowaniu Pythona.

Kluczowe cechy:

* **Wydajność**: FastAPI jest bardzo wydajny, na równi z **NodeJS** oraz **Go** (dzięki Starlette i Pydantic). [Jeden z najszybszych dostępnych frameworków Pythonowych](#wydajnosc).
* **Szybkość kodowania**: Przyśpiesza szybkość pisania nowych funkcjonalności o około 200% do 300%. *

```

</div>

É **ALTAMENTE recomendado** que você escreva ou copie o código, edite-o e rode-o localmente.

Usá-lo em seu editor é o que realmente te mostra os benefícios do FastAPI, ver quão pouco código você tem que escrever, todas as conferências de tipo, auto completações etc.

---

## Instale o FastAPI

O primeiro passo é instalar o FastAPI.

* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.

!!! tip
    If you have strict type checks in your editor, mypy, etc, you can declare the function return type as `Any`.

    You could have custom internal logic to separate it by colon caracters (`:`) or
    similar, and get the two parts `items` and `read`. Many applications do that to
    group and organize permissions, you could do it as well in your application, just
    know that that it is application specific, it's not part of the specification.
    """

    def __init__(
        self,
        *,

!!! check "**FastAPI** uses it to"
    Handle all the core web parts. Adding features on top.

    The class `FastAPI` itself inherits directly from the class `Starlette`.

    So, anything that you can do with Starlette, you can do it directly with **FastAPI**, as it is basically Starlette on steroids.

### <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>

* Điều này cho phép tự động hóa **trình sinh code client** cho nhiều ngôn ngữ lập trình khác nhau.

### Tự động hóa tài liệu


Tài liệu tương tác API và web giao diện người dùng. Là một framework được dựa trên OpenAPI do đó có nhiều tùy chọn giao diện cho tài liệu API, 2 giao diện bên dưới là mặc định.

Vamos imaginar que o carregamento do modelo pode **demorar bastante tempo**, porque ele tem que ler muitos **dados do disco**. Então você não quer fazer isso a cada requisição.

* Use o `template` que você criou para renderizar e retornar uma `TemplateResponse`, passe o nome do template, o request object, e um "context" dict com pares chave-valor a serem usados dentro do template do Jinja2.

```Python hl_lines="4  11  15-18"
{!../../../docs_src/templates/tutorial001.py!}
```

!!! note
    Antes do FastAPI 0.108.0, Starlette 0.29.0, `name` era o primeiro parâmetro.