部署處理器版本

建立新的處理器版本後，您必須先部署該版本，才能使用該版本處理文件。 注意：您無法變更預先訓練處理器版本或目前預設版本的部署狀態。

深入探索

如需包含這個程式碼範例的詳細說明文件，請參閱下列內容：

• 管理處理器版本

程式碼範例

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

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


def deploy_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 DeployProcessorVersion request
    try:
        operation = client.deploy_processor_version(name=name)
        # Print operation details
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Deploy request will fail if the
    # processor version is already deployed
    except FailedPrecondition as e:
        print(e.message)

後續步驟

如要搜尋及篩選其他 Google Cloud 產品的程式碼範例，請參閱Google Cloud 範例瀏覽器。