# Path Operation Configuration { #path-operation-configuration }

There are several parameters that you can pass to your *path operation decorator* to configure it.

/// warning

Notice that these parameters are passed directly to the *path operation decorator*, not to your *path operation function*.

///

## Response Status Code { #response-status-code }

You can define the (HTTP) `status_code` to be used in the response of your *path operation*.

# Dependencias en decoradores de *path operation* { #dependencies-in-path-operation-decorators }

En algunos casos realmente no necesitas el valor de retorno de una dependencia dentro de tu *path operation function*.

O la dependencia no devuelve un valor.

Pero aún necesitas que sea ejecutada/resuelta.

# Configuración de Path Operation { #path-operation-configuration }

Hay varios parámetros que puedes pasar a tu *path operation decorator* para configurarlo.

/// warning | Advertencia

Ten en cuenta que estos parámetros se pasan directamente al *path operation decorator*, no a tu *path operation function*.

///

## Código de Estado del Response { #response-status-code }

## Dependencies for groups of *path operations* { #dependencies-for-groups-of-path-operations }

And we can add a list of `dependencies` that will be added to all the *path operations* in the router and will be executed/solved for each request made to them.

/// tip

Similar a como puedes [agregar `dependencies` a los *path operation decorators*](dependencies-in-path-operation-decorators.md){.internal-link target=_blank}, puedes agregarlos a la aplicación de `FastAPI`.

En ese caso, se aplicarán a todas las *path operations* en la aplicación:

{* ../../docs_src/dependencies/tutorial012_an_py39.py hl[17] *}

Y podemos agregar una lista de `dependencies` que se añadirá a todas las *path operations* en el router y se ejecutarán/solucionarán por cada request que les haga.

/// tip | Consejo

    @Override
    public int[] call() {
      int iterations = 100000;
      int nKeys = keys.size();
      int[] deltas = new int[nKeys];
      Operation[] operations = Operation.values();
      for (int i = 0; i < iterations; i++) {
        int keyIndex = random.nextInt(nKeys);
        String key = keys.get(keyIndex);
        Operation op = operations[random.nextInt(operations.length)];
        switch (op) {
          case ADD:

    /**
     * Inner thread class for executing data store crawling operations.
     * Each thread handles crawling for a single data configuration,
     * processing documents and updating the search index.
     *
     * <p>The thread manages:</p>
     * <ul>
     *   <li>Data store initialization and document processing</li>
     *   <li>Index update operations through callbacks</li>
     *   <li>Error handling and failure logging</li>

- **Deferred/Promise**: Async operations

### Index Alias Strategy

Zero-downtime index updates using dual aliases:

```
Index Naming: {baseIndex}.{timestamp}
Example:      my-suggest.20250123120000

Aliases:
├── Search Alias: {baseIndex}          (read operations)
└── Update Alias: {baseIndex}.update   (write operations)
```

### Text Processing Pipeline

```
Input Text