장기 실행 작업 나열

Google Cloud 프로젝트 및 위치의 장기 실행 작업 (LRO)을 나열합니다.

더 살펴보기

이 코드 샘플이 포함된 자세한 문서는 다음을 참조하세요.

코드 샘플

Python

자세한 내용은 Document AI Python API 참고 문서를 참고하세요.

Document AI에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요. 


from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore
from google.longrunning.operations_pb2 import ListOperationsRequest  # 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"

# Create filter in https://google.aip.dev/160 syntax
# For full options, refer to:
# https://cloud.google.com/document-ai/docs/long-running-operations#listing_long-running_operations
# operations_filter = 'YOUR_FILTER'

# Example:
# operations_filter = "TYPE=BATCH_PROCESS_DOCUMENTS AND STATE=RUNNING"


def list_operations_sample(
    project_id: str, location: str, operations_filter: 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)

    # Format: `projects/{project_id}/locations/{location}`
    name = client.common_location_path(project=project_id, location=location)
    request = ListOperationsRequest(
        name=f"{name}/operations",
        filter=operations_filter,
    )

    # Make ListOperations request
    operations = client.list_operations(request=request)

    # Print the Operation Information
    print(operations)

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