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describe_classification_job 

describe_classification_job(
    job_id: __string, *, config_overrides: Optional[Macie2ClientConfig] = None
) -> DescribeClassificationJobResponse

Retrieves the status and settings for a classification job.

Parameters:

  • job_id (__string) –

    The unique identifier for the classification job.

Raises:

  • AccessDeniedException –

    Provides information about an error that occurred due to insufficient access to a specified resource.

  • ConflictException –

    Provides information about an error that occurred due to a versioning conflict for a specified resource.

  • InternalServerException –

    Provides information about an error that occurred due to an unknown internal server error, exception, or failure.

  • ResourceNotFoundException –

    Provides information about an error that occurred because a specified resource wasn't found.

  • ServiceQuotaExceededException –

    Provides information about an error that occurred due to one or more service quotas for an account.

  • ThrottlingException –

    Provides information about an error that occurred because too many requests were sent during a certain amount of time.

  • ValidationException –

    Provides information about an error that occurred due to a syntax error in a request.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_macie2/_services/macie2.py 
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def describe_classification_job(
    self,
    job_id: "capo_macie2.types.__string.__string",
    *,
    config_overrides: Optional[Macie2ClientConfig] = None,
) -> "capo_macie2.types.describe_classification_job_response.DescribeClassificationJobResponse":
    """<p>Retrieves the status and settings for a classification job.</p>

    Args:
        job_id: <p>The unique identifier for the classification job.</p>

    Raises:
        capo_macie2.errors.access_denied_exception.AccessDeniedException: <p>Provides information about an error that occurred due to insufficient access to a specified resource.</p>
        capo_macie2.errors.conflict_exception.ConflictException: <p>Provides information about an error that occurred due to a versioning conflict for a specified resource.</p>
        capo_macie2.errors.internal_server_exception.InternalServerException: <p>Provides information about an error that occurred due to an unknown internal server error, exception, or failure.</p>
        capo_macie2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Provides information about an error that occurred because a specified resource wasn't found.</p>
        capo_macie2.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>Provides information about an error that occurred due to one or more service quotas for an account.</p>
        capo_macie2.errors.throttling_exception.ThrottlingException: <p>Provides information about an error that occurred because too many requests were sent during a certain amount of time.</p>
        capo_macie2.errors.validation_exception.ValidationException: <p>Provides information about an error that occurred due to a syntax error in a request.</p>
        capo_macie2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_macie2.types.describe_classification_job_request.DescribeClassificationJobRequest]",
    ) -> OperationResponse[
        "capo_macie2.types.describe_classification_job_response.DescribeClassificationJobResponse"
    ]:
        import capo_macie2._operations.macie2.describe_classification_job

        output, http_response = (
            capo_macie2._operations.macie2.describe_classification_job.describe_classification_job(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeClassificationJob")
    )
    input_: capo_macie2.types.describe_classification_job_request.DescribeClassificationJobRequest = {
        "job_id": job_id
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output