建立處理器

建立新的處理器

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：

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.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_display_name = 'YOUR_PROCESSOR_DISPLAY_NAME' # Must be unique per project, e.g.: 'My Processor'
# processor_type = 'YOUR_PROCESSOR_TYPE' # Use fetch_processor_types to get available processor types


def create_processor_sample(
    project_id: str, location: str, processor_display_name: str, processor_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")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

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

    # Create a processor
    processor = client.create_processor(
        parent=parent,
        processor=documentai.Processor(
            display_name=processor_display_name, type_=processor_type
        ),
    )

    # Print the processor information
    print(f"Processor Name: {processor.name}")
    print(f"Processor Display Name: {processor.display_name}")
    print(f"Processor Type: {processor.type_}")

後續步驟

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