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• 문서에 대한 사람의 검토 요청

코드 샘플

Python

자세한 내용은 Document AI Python API 참조 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

# 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

다음 단계

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