Membatalkan deployment versi pemroses

Setelah membuat versi pemroses baru dan men-deploy-nya, Anda dapat membatalkan deployment-nya jika tidak ingin versi pemroses dapat menangani permintaan pemrosesan.

Mempelajari lebih lanjut

Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:

Contoh kode

Python

Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi API Python Document AI.

Untuk melakukan autentikasi ke Document AI, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal. 


from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import FailedPrecondition
from google.api_core.exceptions import InvalidArgument
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
# processor_version_id = 'YOUR_PROCESSOR_VERSION_ID'


def undeploy_processor_version_sample(
    project_id: str, location: str, processor_id: str, processor_version_id: 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")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor version
    # e.g.: projects/project_id/locations/location/processors/processor_id/processorVersions/processor_version_id
    name = client.processor_version_path(
        project_id, location, processor_id, processor_version_id
    )

    # Make UndeployProcessorVersion request
    try:
        operation = client.undeploy_processor_version(name=name)
        # Print operation details
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Undeploy request will fail if the
    # processor version is already undeployed
    # or if a request is made on a pretrained processor version
    except (FailedPrecondition, InvalidArgument) as e:
        print(e.message)

Langkah selanjutnya

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