パフォーマンスを評価する

 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' # processor_version_id = 'YOUR_PROCESSOR_VERSION_ID' # gcs_input_uri = # Format: gs://bucket/directory/   def evaluate_processor_version_sample(     project_id: str,     location: str,     processor_id: str,     processor_version_id: str,     gcs_input_uri: str, ) -> None:     # You must set the api_endpoint if you use a location other than 'us', e.g.:     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     )      evaluation_documents = documentai.BatchDocumentsInputConfig(         gcs_prefix=documentai.GcsPrefix(gcs_uri_prefix=gcs_input_uri)     )      # NOTE: Alternatively, specify a list of GCS Documents     #     # gcs_input_uri = "gs://bucket/directory/file.pdf"     # input_mime_type = "application/pdf"     #     # gcs_document = documentai.GcsDocument(     #     gcs_uri=gcs_input_uri, mime_type=input_mime_type     # )     # gcs_documents = [gcs_document]     # evaluation_documents = documentai.BatchDocumentsInputConfig(     #     gcs_documents=documentai.GcsDocuments(documents=gcs_documents)     # )     #      request = documentai.EvaluateProcessorVersionRequest(         processor_version=name,         evaluation_documents=evaluation_documents,     )      # Make EvaluateProcessorVersion request     # Continually polls the operation until it is complete.     # This could take some time for larger files     operation = client.evaluate_processor_version(request=request)     # Print operation details     # Format: projects/PROJECT_NUMBER/locations/LOCATION/operations/OPERATION_ID     print(f"Waiting for operation {operation.operation.name} to complete...")     # Wait for operation to complete     response = documentai.EvaluateProcessorVersionResponse(operation.result())      # After the operation is complete,     # Print evaluation ID from operation response     print(f"Evaluation Complete: {response.evaluation}")  

 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 # processor_version_id = 'YOUR_PROCESSOR_VERSION_ID' # evaluation_id = 'YOUR_EVALUATION_ID'   def get_evaluation_sample(     project_id: str,     location: str,     processor_id: str,     processor_version_id: str,     evaluation_id: str, ) -> None:     # You must set the api_endpoint if you use a location other than 'us', e.g.:     opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")      client = documentai.DocumentProcessorServiceClient(client_options=opts)      # The full resource name of the evaluation     # e.g. `projects/{project_id}/locations/{location}/processors/{processor_id}/processorVersions/{processor_version_id}`     evaluation_name = client.evaluation_path(         project_id, location, processor_id, processor_version_id, evaluation_id     )     # Make GetEvaluation request     evaluation = client.get_evaluation(name=evaluation_name)      create_time = evaluation.create_time     document_counters = evaluation.document_counters      # Print the Evaluation Information     # Refer to https://cloud.google.com/document-ai/docs/reference/rest/v1beta3/projects.locations.processors.processorVersions.evaluations     # for more information on the available evaluation data     print(f"Create Time: {create_time}")     print(f"Input Documents: {document_counters.input_documents_count}")     print(f"\tInvalid Documents: {document_counters.invalid_documents_count}")     print(f"\tFailed Documents: {document_counters.failed_documents_count}")     print(f"\tEvaluated Documents: {document_counters.evaluated_documents_count}")  

 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 # processor_version_id = 'YOUR_PROCESSOR_VERSION_ID'   def list_evaluations_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', e.g.:     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}`     parent = client.processor_version_path(         project_id, location, processor_id, processor_version_id     )      evaluations = client.list_evaluations(parent=parent)      # Print the Evaluation Information     # Refer to https://cloud.google.com/document-ai/docs/reference/rest/v1beta3/projects.locations.processors.processorVersions.evaluations     # for more information on the available evaluation data     print(f"Evaluations for Processor Version {parent}")      for evaluation in evaluations:         print(f"Name: {evaluation.name}")         print(f"\tCreate Time: {evaluation.create_time}\n")