///

```Python hl_lines="25"
{!> ../../docs_src/security/tutorial002.py!}
```

////

## Get the user

`get_current_user` will use a (fake) utility function we created, that takes a token as a `str` and returns our Pydantic `User` model:

//// tab | Python 3.10+

```Python hl_lines="19-22  26-27"
{!> ../../docs_src/security/tutorial002_an_py310.py!}
```

////

## Explore Further

- [MinIO Client Complete Guide](https://min.io/docs/minio/linux/reference/minio-mc.html)
- [MinIO STS Quickstart Guide](https://min.io/docs/minio/linux/developers/security-token-service.html)
- [MinIO Admin Complete Guide](https://min.io/docs/minio/linux/reference/minio-mc-admin.html)

	}

	// Validation code
	switch {
	case conf.AWSRoleWebIdentityTokenFile == "" && conf.AWSRoleARN != "" || conf.AWSRoleWebIdentityTokenFile != "" && conf.AWSRoleARN == "":
		return nil, errors.New("both the token file and the role ARN are required")
	case conf.AccessKey == "" && conf.SecretKey != "" || conf.AccessKey != "" && conf.SecretKey == "":
		return nil, errors.New("both the access and secret keys are required")

    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: tiangolo/issue-manager@0.5.1
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          config: >
            {
              "answered": {
                "delay": 864000,

	kubeCAFilepath = "testdata/kube-ca.crt"
	saToken        = "service_account_token_string"
)

func TestCreateValidKubeconfigFile(t *testing.T) {
	tmp := t.TempDir()
	os.WriteFile(filepath.Join(tmp, "token"), []byte(saToken), 0o644)
	cases := []struct {
		name               string
		expectedFailure    bool
		k8sServiceProtocol string
		k8sServiceHost     string
		k8sServicePort     string
		kubeCAFilepath     string

labels.boost_document_rule_boost_expr=Boost Expr
labels.boost_document_rule_sort_order=Sort Order
labels.access_token_configuration=Access Token
labels.access_token_title_details=Access Token
labels.access_token_list_name=Name
labels.access_token_name=Name
labels.access_token_token=Token
labels.access_token_expires=Expired
labels.access_token_parameter_name=Parameter Name
labels.access_token_updated_time=Created

    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write
      # Uncomment the permissions below if installing in a private repository.
      # contents: read
      # actions: read

    steps:
      - name: "Checkout code"

    TFE_CancellationToken token) {
  return tensorflow::unwrap(cancellation_manager)->DeregisterCallback(token);
}

bool TFE_CancellationManagerTryDeregisterCallback(
    TFE_CancellationManager* cancellation_manager,
    TFE_CancellationToken token) {
  return tensorflow::unwrap(cancellation_manager)->TryDeregisterCallback(token);
}

void TFE_DeleteCancellationManager(

                It is also useful when you want to have authentication that can be
                provided in one of multiple optional ways (for example, in a query
                parameter or in an HTTP Bearer token).
                """
            ),
        ] = True,
    ):
        self.model: APIKey = APIKey(
            **{"in": APIKeyIn.query},  # type: ignore[arg-type]
            name=name,

Lá você pode definir:

* O "Item ID", usado na rota.
* O "Token" usado como um parâmetro de consulta.

/// tip | Dica

Perceba que a consulta `token` será manipulada por uma dependência.

///

Com isso você pode conectar o WebSocket e então enviar e receber mensagens: