Recupera l'elenco di controllo dell'accesso (ACL)

Recupera l'elenco di controllo dell'accesso (ACL) per un documento o un progetto.

Esempio di codice

Node.js

Per saperne di più, consulta la documentazione di riferimento dell'API Document AI Warehouse Node.js.

Per eseguire l'autenticazione in Document AI Warehouse, configura le Credenziali predefinite dell'applicazione. Per saperne di più, consulta Configura l'autenticazione per un ambiente di sviluppo locale.


/**
 * 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

Per saperne di più, consulta la documentazione di riferimento dell'API Document AI Warehouse Python.

Per eseguire l'autenticazione in Document AI Warehouse, configura le Credenziali predefinite dell'applicazione. Per saperne di più, consulta Configura l'autenticazione per un ambiente di sviluppo locale.


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)

Passaggi successivi

Per cercare e filtrare gli esempi di codice per altri prodotti Google Cloud , consulta il browser degli esempi diGoogle Cloud .