Obtenir la liste de contrôle des accès (LCA)

Obtenez la liste de contrôle des accès (LCA) pour un document ou un projet.

Exemple de code

Node.js

Pour en savoir plus, consultez la documentation de référence de l'API Document AI Warehouse Node.js.

Pour vous authentifier auprès de Document AI Warehouse, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement 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

Pour en savoir plus, consultez la documentation de référence de l'API Document AI Warehouse Python.

Pour vous authentifier auprès de Document AI Warehouse, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement 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)

Étape suivante

Pour rechercher et filtrer des exemples de code pour d'autres produits Google Cloud , consultez l'explorateur d'exemplesGoogle Cloud .