```Python
from fastapi import FastAPI
from unicorn import UnicornMiddleware

app = FastAPI()

app.add_middleware(UnicornMiddleware, some_config="rainbow")
```

`app.add_middleware()` recibe una clase de middleware como primer argumento y cualquier argumento adicional que se le quiera pasar al middleware.

## Middlewares integrados

   |
   | * provides: A list of key/value-pairs.
   |   Based on the toolchain-configuration in the pom.xml Maven will search for
   |   matching <provides/> configuration. You can decide for yourself which key-value
   |   pairs to use. Often used keys are 'version', 'vendor' and 'arch'. By default
   |   the version has a special meaning. If you configured in the pom.xml '1.5'

The same way there is a `Query` and `Path` to define extra data for query and path parameters, **FastAPI** provides an equivalent `Body`.

For example, extending the previous model, you could decide that you want to have another key `importance` in the same body, besides the `item` and `user`.

If you declare it as is, because it is a singular value, **FastAPI** will assume that it is a query parameter.

/// info | Información

Ten en cuenta que el `TestClient` recibe datos que pueden ser convertidos a JSON, no modelos de Pydantic.

            SMBUtil.writeInt2(4, buffer, 0);

            // When
            int read1 = response1.readBytesWireFormat(buffer, 0);
            int read2 = response2.readBytesWireFormat(buffer, 0);

            // Then
            assertEquals(4, read1);
            assertEquals(4, read2);
        }
    }

    @Nested
    @DisplayName("Edge case tests")
    class EdgeCaseTests {

        @Test

Os parâmetros `prefix`, `tags`, `responses` e `dependencies` são (como em muitos outros casos) apenas um recurso do **FastAPI** para ajudar a evitar duplicação de código.

///

### Importar as dependências

Este código reside no módulo `app.routers.items`, o arquivo `app/routers/items.py`.

E precisamos obter a função de dependência do módulo `app.dependencies`, o arquivo `app/dependencies.py`.

     * @return array of supported algorithm constants
     */
    int[] getSupportedAlgorithms();

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)

Le tout de manière à offrir la meilleure expérience de développement à tous les développeurs.

## Exigences

Après avoir testé plusieurs alternatives, j'ai décidé que j'allais utiliser <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a> pour ses avantages.

Interceptors can be chained. Suppose you have both a compressing interceptor and a checksumming interceptor: you'll need to decide whether data is compressed and then checksummed, or checksummed and then compressed. OkHttp uses lists to track interceptors, and interceptors are called in order.

![Interceptors Diagram](../assets/images/******@****.***)

pek de kolay değil.

Biraz daha detaylı ayarlamalara gerek duyuyor. Ayrıca <abbr title="ASGI (Asynchronous Server Gateway Interface): Asenkron Sunucu Ağ Geçidi Arabirimi, asenkron Python web uygulamaları geliştirmek için yeni standart.">ASGI</abbr> yerine <abbr title="WSGI (Web Server Gateway Interface): Web Sunucusu Ağ Geçidi Arabirimi, Pythonda senkron web uygulamaları geliştirmek için eski standart.">WSGI</abbr>'a dayanıyor. Yani Uvicorn, Starlette ve Sanic gibi araçların yüksek performansından...