Em particular, ao executar no **Kubernetes** você provavelmente **não** vai querer usar vários trabalhadores e, em vez disso, executar **um único processo Uvicorn por contêiner**, mas falarei sobre isso mais adiante neste capítulo.

///

## Vários trabalhadores { #multiple-workers }

                }

                PluginExecution execution = new PluginExecution();
                execution.setId(getExecutionId(plugin, gs.goal));
                execution.setPhase(phase);
                execution.setPriority(i - mojos.size());
                execution.getGoals().add(gs.goal);

                execution.setLocation("", location);
                execution.setLocation("id", location);

import org.apache.maven.project.MavenProject;

/**
 * Lifecycle mapping delegate component interface. Calculates project build execution plan given {@link Lifecycle} and
 * lifecycle phase. Standard lifecycles use plugin execution {@code <phase>} or mojo default lifecycle phase to
 * calculate the execution plan, but custom lifecycles can use alternative mapping strategies.
 */
@Named(DefaultLifecycleMappingDelegate.HINT)
@Singleton

        <executions>
          <execution>
            <id>default-compile</id>
            <configuration>
              <compilerArgs combine.children="append" combine.self="append">
                <arg>-XDignore.symbol.file</arg>
              </compilerArgs>
            </configuration>
          </execution>
          <execution>
            <id>compile-java9</id>
            <phase>compile</phase>

Quando você instala o FastAPI (por exemplo, com `pip install "fastapi[standard]"`), isso inclui um pacote chamado `fastapi-cli`; esse pacote disponibiliza o comando `fastapi` no terminal.

Para executar sua aplicação FastAPI durante o desenvolvimento, você pode usar o comando `fastapi dev`:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:solid">main.py</u>

* Tests du backend REST basés sur **Pytest**, intégrés dans Docker, pour que vous puissiez tester toutes les interactions de l'API indépendamment de la base de données. Étant exécutés dans Docker, les tests peuvent utiliser un nouvel entrepôt de données créé de zéro à chaque fois (vous pouvez donc utiliser ElasticSearch, MongoDB, CouchDB, etc. et juste tester que l'API fonctionne).

                <configuration/>
                <executions>
                    <execution>
                        <id>compile</id>
                        <phase>process-sources</phase>
                        <goals>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                    <execution>
                        <id>test-compile</id>

```requirements.txt
fastapi[standard]==0.113.0
pydantic==2.8.0
```

///

## Ejecuta Tu Programa { #run-your-program }

Después de activar el entorno virtual, puedes ejecutar tu programa, y usará el Python dentro de tu entorno virtual con los paquetes que instalaste allí.

<div class="termy">

```console
$ python main.py

Hello World
```

</div>

        MojoDescriptor mojoDescriptor = execution.getMojoDescriptor();

        if (mojoDescriptor == null) {
            mojoDescriptor = pluginManager.getMojoDescriptor(
                    execution.getPlugin(),
                    execution.getGoal(),
                    project.getRemotePluginRepositories(),
                    session.getRepositorySession());

            execution.setMojoDescriptor(mojoDescriptor);
        }

        <executions>
          <execution>
            <id>default-compile</id>
            <configuration>
              <compilerArgs combine.children="append" combine.self="append">
                <arg>-XDignore.symbol.file</arg>
              </compilerArgs>
            </configuration>
          </execution>
          <execution>
            <id>compile-java9</id>