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• Solicita la revisión humana de un documento

Muestra de código

Python

Para obtener más información, consulta la documentación de referencia de la API de Document AI Python.

Para autenticarte en Document AI, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID' # Create processor before running sample
# file_path = '/path/to/local/pdf'
# mime_type = 'application/pdf'  # https://cloud.google.com/document-ai/docs/file-types


def review_document_sample(
    project_id: str, location: str, processor_id: str, file_path: str, mime_type: str
) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    # Create a client
    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # Make Processing Request
    inline_document = process_document(
        project_id, location, processor_id, file_path, mime_type
    )

    # Get the full resource name of the human review config, e.g.:
    # projects/project_id/locations/location/processor/processor_id/humanReviewConfig
    human_review_config = client.human_review_config_path(
        project_id, location, processor_id
    )

    # Options are DEFAULT, URGENT
    priority = documentai.ReviewDocumentRequest.Priority.DEFAULT

    # Configure the human review request
    request = documentai.ReviewDocumentRequest(
        inline_document=inline_document,
        human_review_config=human_review_config,
        enable_schema_validation=False,
        priority=priority,
    )

    # Make a request for human review of the processed document
    operation = client.review_document(request=request)

    # Print operation name, can be used to check status of the request
    print(operation.operation.name)


def process_document(
    project_id: str, location: str, processor_id: str, file_path: str, mime_type: str
) -> documentai.Document:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor, e.g.:
    # projects/project_id/locations/location/processor/processor_id
    name = client.processor_path(project_id, location, processor_id)

    # Read the file into memory
    with open(file_path, "rb") as image:
        image_content = image.read()

    # Load Binary Data into Document AI RawDocument Object
    raw_document = documentai.RawDocument(content=image_content, mime_type=mime_type)

    # Configure the process request
    request = documentai.ProcessRequest(name=name, raw_document=raw_document)

    result = client.process_document(request=request)

    return result.document

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