Este será el punto principal de interacción para crear toda tu API.

### Paso 3: crea una *path operation* { #step-3-create-a-path-operation }

#### Path { #path }

"Path" aquí se refiere a la última parte de la URL empezando desde la primera `/`.

Así que, en una URL como:

```
https://example.com/items/foo
```

...el path sería:

```
/items/foo
```

/// info | Información

        </codeSegment>
        <codeSegment>
          <version>2.0.0+</version>
          <code>
    /**
     * Indicates if this proxy is active.
     * To allow interpolation of this field, this method lazily parses
     * the {@link #getActiveString()} value as a boolean and defaults to {@code true}
     * if not set.
     *
     * @return a boolean indicating if this proxy is active
     */
    public boolean isActive() {

## Prérequis

FastAPI repose sur les épaules de géants :

* <a href="https://www.starlette.dev/" class="external-link" target="_blank">Starlette</a> pour les parties web.
* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> pour les parties données.

## Installation

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

        try {
            final StandardQueryParser parser = new StandardQueryParser();
            parser.setDefaultOperator(StandardQueryConfigHandler.Operator.AND);

            // Parse with the first field if available, otherwise use "default"
            String defaultField = fields != null && fields.length > 0 ? fields[0] : "default";
            termQueryList = getTermQueryList(parser.parse(q, defaultField), fields);

}

// PutObjectPart - writes part of an object to hashedSet based on the object name.
func (s *erasureSets) PutObjectPart(ctx context.Context, bucket, object, uploadID string, partID int, data *PutObjReader, opts ObjectOptions) (info PartInfo, err error) {
	set := s.getHashedSet(object)
	return set.PutObjectPart(ctx, bucket, object, uploadID, partID, data, opts)
}

		if paddinglen == 0 {
			seq = append(seq, fmt.Sprintf("%d", i))
		} else {
			seq = append(seq, fmt.Sprintf(fmt.Sprintf("%%0%dd", paddinglen), i))
		}
	}
	return seq
}

// Test tests parses endpoint ellipses input pattern.
func TestParseEndpointSet(t *testing.T) {
	testCases := []struct {
		arg     string
		es      endpointSet
		success bool
	}{
		// Tests invalid inputs.
		{
			"...",

            responseData.setUrl(filePath);

            final String[] paths = parsePath(filePath.replaceFirst("^s3:/+", StringUtil.EMPTY));
            final String bucketName = paths[0];
            final String path = paths[1];
            if (logger.isDebugEnabled()) {
                logger.debug("Parsed S3 path: bucket={}, objectPath={}", bucketName, path);
            }

        return httpClient.execute(httpRequest, new BasicHttpContext(httpClientContext));
    }

    /**
     * Parses the last modified date from a string value.
     *
     * @param value The date string to parse
     * @return The parsed date, or null if parsing fails
     */
    protected Date parseLastModifiedDate(final String value) {

## Execution of dependencies with `yield` { #execution-of-dependencies-with-yield }

The sequence of execution is more or less like this diagram. Time flows from top to bottom. And each column is one of the parts interacting or executing code.

```mermaid
sequenceDiagram

participant client as Client
participant handler as Exception handler
participant dep as Dep with yield
participant operation as Path Operation

labels.hq=hq
labels.inputs=Entradas
labels.jobLogging=Registro
labels.jobName=Nombre
labels.jobStatus=Estado
labels.labelTypeIds=Etiquetas
labels.lang=Idioma
labels.outputs=Salidas
labels.pos=Parte de la oración
labels.purgeJobLogDay=Eliminar registros de trabajos anteriores
labels.purgeUserInfoDay=Eliminar registros de usuarios anteriores
labels.reading=Lectura
labels.roleTypeIds=ID de rol
labels.scriptData=Script