</div>

And copy the output to the variable `SECRET_KEY` (don't use the one in the example).

Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`.

Create a variable for the expiration of the token.

Define a Pydantic Model that will be used in the token endpoint for the response.

Create a utility function to generate a new access token.

=== "Python 3.10+"

And now in the file `sql_app/main.py` let's integrate and use all the other parts we created before.

### Create the database tables

In a very simplistic way create the database tables:

```Python hl_lines="9-11"
{!../../../docs_src/sql_databases_peewee/sql_app/main.py!}
```

### Create a dependency

Create a dependency that will connect the database right at the beginning of a request and disconnect it at the end:

		return dsc.syncNodes(ctx, ds, oldPodsToDelete, nil, hash)
	}

	// When surging, we create new pods whenever an old pod is unavailable, and we can create up
	// to maxSurge extra pods
	//
	// Assumptions:
	// * Expect manage loop to allow no more than two pods per node, one old, one new
	// * Expect manage loop will create new pods if there are no pods on node
	// * Expect manage loop will handle failed pods

 * share the same [Address] may share a [Connection]. This class implements the policy
 * of which connections to keep open for future use.
 *
 * @constructor Create a new connection pool with tuning parameters appropriate for a single-user
 * application. The tuning parameters in this pool are subject to change in future OkHttp releases.

This parameter doesn't create that endpoint / *path operation*, but declares that the URL `/token` will be the one that the client should use to get the token. That information is used in OpenAPI, and then in the interactive API documentation systems.

We will soon also create the actual path operation.

!!! info

### Crea una clase `Enum`

Importa `Enum` y crea una sub-clase que herede desde `str` y desde `Enum`.

Al heredar desde `str` la documentación de la API podrá saber que los valores deben ser de tipo `string` y podrá mostrarlos correctamente.

Luego crea atributos de clase con valores fijos, que serán los valores disponibles válidos:

            ContiguousSet.create(Range.closed(1, 3), integers()),
            ContiguousSet.closed(1, 3),
            ContiguousSet.create(Range.closedOpen(1, 4), integers()),
            ContiguousSet.closedOpen(1, 4),
            ContiguousSet.create(Range.openClosed(0, 3), integers()),
            ContiguousSet.create(Range.open(0, 4), integers()),
            ContiguousSet.create(Range.closed(1, 3), NOT_EQUAL_TO_INTEGERS),

    Multiset<String> ms1 = HashMultiset.create();
    Multiset<String> ms2 = HashMultiset.create(Arrays.asList("a", "b", "a"));
    assertEquals(ms2, Multisets.union(ms1, ms2));
  }

  public void testUnionNonemptyEmpty() {
    Multiset<String> ms1 = HashMultiset.create(Arrays.asList("a", "b", "a"));
    Multiset<String> ms2 = HashMultiset.create();
    assertEquals(ms1, Multisets.union(ms1, ms2));
  }

  /** Creates an {@code AtomicLongMap}. */
  public static <K> AtomicLongMap<K> create() {
    return new AtomicLongMap<>(new ConcurrentHashMap<>());
  }

  /** Creates an {@code AtomicLongMap} with the same mappings as the specified {@code Map}. */
  public static <K> AtomicLongMap<K> create(Map<? extends K, ? extends Long> m) {
    AtomicLongMap<K> result = create();
    result.putAll(m);
    return result;
  }

  /**

        container.create(name: "task")

        then:
        def e = thrown(GradleException)
        e.message == "Could not create task ':project:task'."
        e.cause == failure
    }

    void "create wraps task creation failure"() {
        given:
        def failure = new RuntimeException()

        taskFactory.create(_ as TaskIdentity) >> { throw failure }

        when:
        container.create("task")