Cloud文档AI键值对响应的处理方法？

Cloud文档AI为处理文档提供了多种API，其中包括提取键值对信息的API。使用该API后，将得到一个包含所有键值对信息的响应。下面是如何处理这个响应的示例代码：

from google.cloud import documentai_v1beta2 as documentai
from google.protobuf.json_format import MessageToJson

def process_document(doc_name):
    """
    Process a single document with the Document AI API.
    """
    project_id= 'YOUR_PROJECT_ID'
    location = 'YOUR_LOCATION'
    processor_id = 'YOUR_PROCESSOR_ID'
    file_name = f'gs://{BUCKET_NAME}/{doc_name}'

    client = documentai.DocumentUnderstandingServiceClient()
    request = documentai.BatchProcessRequest()

    name = file_name.split('/')[-1]
    gcs = documentai.GcsDocument(uri=file_name, content='''
    ''')
    input_config = documentai.InputConfig(gcs_document=gcs, mime_type='application/pdf')

    # Setting enabled=True enables both form parsing and entity extraction
    # Classifying all pages in document into paragraphs, tables, form_fields etc.,
    # Styles are also computed, e.g. bold, italic
    document_config = documentai.DocumentConfig(
        # Enable Optical Character Recognition (OCR)
        ocr=True,
        language_code="en-US",
        # Automatically rotate between 0 and 360 degreees if no detected orientation
        enable_automatic_rotation=True,
    )
    email_config = documentai.DocumentOutputConfig(
        gcs_destination=documentai.GcsDestination(
            uri=f"gs://{BUCKET_NAME}/results/{name}/"
        )
    )

    request = documentai.BatchProcessRequest(
        name=f"projects/{project_id}/locations/{location}/processors/{processor_id}",
        input_documents=[input_config],
        document_output_config=email_config,
        document_configs=[document_config],
    )

    operation = client.batch_process_documents(request=request)

    # Wait for the operation to finish
    operation.result(timeout=180)

    # Retrieve the first result, because we only processed one document
    result = operation.metadata.batch_process_documents_response[0].individual_process_statuses[0].response

    # Output