Receber lista de controle de acesso (ACL)

Recebe a lista de controle de acesso (ACL) de um documento ou projeto.

Exemplo de código

Node.js

Para mais informações, consulte a documentação de referência da API Node.js da Document AI Warehouse.

Para autenticar no Document AI Warehouse, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.


/**
 * TODO(developer): Uncomment these variables before running the sample.
 * const projectId = 'YOUR_PROJECT_ID';
 * const location = 'YOUR_PROJECT_LOCATION'; // Format is 'us' or 'eu'
 * const documentId = 'YOUR_DOCUMENT_ID',
 * const userId = "user:xxxx@example.com" // Format is "user:xxxx@example.com"
 */

// Import from google cloud
const {DocumentServiceClient} = require('@google-cloud/contentwarehouse').v1;

const apiEndpoint =
  location === 'us'
    ? 'contentwarehouse.googleapis.com'
    : `${location}-contentwarehouse.googleapis.com`;

// Create service client
const serviceClient = new DocumentServiceClient({apiEndpoint: apiEndpoint});

// Fetches access control policies on project or document level.
async function fetchACL() {
  // Initialize request argument(s)
  const request = {};
  if (documentId !== 'YOUR_DOCUMENT_ID') {
    // Full document resource name, e.g.:
    // projects/{project_id}/locations/{location}/documents/{document_id}
    request.resource = `projects/${projectId}/locations/${location}/documents/${documentId}`;
    request.requestMetadata = {userInfo: {id: userId}};
  } else {
    // Full document resource name, e.g.: projects/{project_id}
    request.resource = `projects/${projectId}`;
    request.projectOwner = true;
  }

  // Make Request
  const response = serviceClient.fetchAcl(request);

  // Print out response
  response.then(
    result => console.log(`Success! Response: \n${JSON.stringify(result)}`),
    error => console.log(`Failed! Response: \n${error}`)
  );
}

Python

Para mais informações, consulte a documentação de referência da API Python da Document AI Warehouse.

Para autenticar no Document AI Warehouse, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.


from google.cloud import contentwarehouse

# TODO(developer): Uncomment these variables before running the sample.
# project_number = 'YOUR_PROJECT_NUMBER'
# location = 'YOUR_PROJECT_LOCATION' # Format is 'us' or 'eu'
# document_id = 'YOUR_DOCUMENT_ID'
# user_id = 'user:YOUR_SERVICE_ACCOUNT_ID' # Format is "user:xxxx@example.com"


def fetch_acl(
    project_number: str, location: str, user_id: str, document_id: str = ""
) -> None:
    """Fetches access control policies on project or document level.

    Args:
        project_number: Google Cloud project number.
        location: Google Cloud project location.
        user_id: user:YOUR_SERVICE_ACCOUNT_ID.
        document_id: Record id in Document AI Warehouse.
    """
    # Create a client
    client = contentwarehouse.DocumentServiceClient()

    # Initialize request argument(s)
    # Fetch document acl if document id is specified
    # else fetch acl on project level
    if document_id:
        request = contentwarehouse.FetchAclRequest(
            # The full resource name of the document, e.g.:
            # projects/{project_number}/locations/{location}/documents/{document_id}
            resource=client.document_path(project_number, location, document_id),
            request_metadata=contentwarehouse.RequestMetadata(
                user_info=contentwarehouse.UserInfo(id=user_id)
            ),
        )
    else:
        request = contentwarehouse.FetchAclRequest(
            # The full resource name of the project, e.g.:
            # projects/{project_number}
            resource=client.common_project_path(project_number),
            project_owner=True,
        )

    # Make Request
    response = client.fetch_acl(request)
    print(response)

A seguir

Para pesquisar e filtrar exemplos de código de outros Google Cloud produtos, consulte a Google Cloud pesquisa de exemplos de código.