停止 Amazon Rekognition 自訂標籤模型

在 使用模型 的區域中，執行以下操作：

將 project-version-arn 的值變更為您要停止的模型版本的 ARN。

aws rekognition stop-project-version --project-version-arn "model arn" \
  --profile custom-labels-access

以下範例會停止已在執行中的模型。

請提供以下命令列參數：

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0

"""
Purpose
Shows how to stop a running Amazon Lookout for Vision model.
"""

import argparse
import logging
import time
import boto3

from botocore.exceptions import ClientError


logger = logging.getLogger(__name__)


def get_model_status(rek_client, project_arn, model_arn):
    """
    Gets the current status of an Amazon Rekognition Custom Labels model
    :param rek_client: The Amazon Rekognition Custom Labels Boto3 client.
    :param project_name:  The name of the project that you want to use.
    :param model_arn:  The name of the model that you want the status for.
    """

    logger.info ("Getting status for %s.", model_arn)

    # Extract the model version from the model arn.
    version_name=(model_arn.split("version/",1)[1]).rpartition('/')[0]

    # Get the model status.
    models=rek_client.describe_project_versions(ProjectArn=project_arn,
    VersionNames=[version_name])

    for model in models['ProjectVersionDescriptions']: 
        logger.info("Status: %s",model['StatusMessage'])
        return model["Status"]

    # No model found.
    logger.exception("Model %s not found.", model_arn)
    raise Exception("Model %s not found.", model_arn)


def stop_model(rek_client, project_arn, model_arn):
    """
    Stops a running Amazon Rekognition Custom Labels Model.
    :param rek_client: The Amazon Rekognition Custom Labels Boto3 client.
    :param project_arn: The ARN of the project that you want to stop running.
    :param model_arn:  The ARN of the model (ProjectVersion) that you want to stop running.
    """

    logger.info("Stopping model: %s", model_arn)

    try:
        # Stop the model.
        response=rek_client.stop_project_version(ProjectVersionArn=model_arn)

        logger.info("Status: %s", response['Status'])

        # stops when hosting has stopped or failure.
        status = ""
        finished = False

        while finished is False:

            status=get_model_status(rek_client, project_arn, model_arn)

            if status == "STOPPING":
                logger.info("Model stopping in progress...")
                time.sleep(10)
                continue
            if status == "STOPPED":
                logger.info("Model is not running.")
                finished = True
                continue

            error_message = f"Error stopping model. Unexepected state: {status}"
            logger.exception(error_message)
            raise Exception(error_message)

        logger.info("finished. Status %s", status)
        return status

    except ClientError as err:
        logger.exception("Couldn't stop model - %s: %s",
           model_arn,err.response['Error']['Message'])
        raise


def add_arguments(parser):
    """
    Adds command line arguments to the parser.
    :param parser: The command line parser.
    """

    parser.add_argument(
        "project_arn", help="The ARN of the project that contains the model that you want to stop."
    )
    parser.add_argument(
        "model_arn", help="The ARN of the model that you want to stop."
    )

def main():

    logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")

    try:

        # Get command line arguments.
        parser = argparse.ArgumentParser(usage=argparse.SUPPRESS)
        add_arguments(parser)
        args = parser.parse_args()

        # Stop the model.
        session = boto3.Session(profile_name='custom-labels-access')
        rekognition_client = session.client("rekognition")

        status=stop_model(rekognition_client, args.project_arn, args.model_arn)

        print(f"Finished stopping model: {args.model_arn}")
        print(f"Status: {status}")

    except ClientError as err:
        logger.exception("Problem stopping model:%s",err)
        print(f"Failed to stop model: {err}")
    
    except Exception as err:
        logger.exception("Problem stopping model:%s", err)
        print(f"Failed to stop model: {err}")

if __name__ == "__main__":
    main()    
  

請提供以下命令列參數：

/*
   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
   SPDX-License-Identifier: Apache-2.0
*/

package com.example.rekognition;

import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.rekognition.RekognitionClient;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsRequest;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsResponse;
import software.amazon.awssdk.services.rekognition.model.ProjectVersionDescription;
import software.amazon.awssdk.services.rekognition.model.ProjectVersionStatus;
import software.amazon.awssdk.services.rekognition.model.RekognitionException;
import software.amazon.awssdk.services.rekognition.model.StopProjectVersionRequest;
import software.amazon.awssdk.services.rekognition.model.StopProjectVersionResponse;


import java.util.logging.Level;
import java.util.logging.Logger;

public class StopModel {

    public static final Logger logger = Logger.getLogger(StopModel.class.getName());

    public static int findForwardSlash(String modelArn, int n) {

        int start = modelArn.indexOf('/');
        while (start >= 0 && n > 1) {
            start = modelArn.indexOf('/', start + 1);
            n -= 1;
        }
        return start;

    }

    public static void stopMyModel(RekognitionClient rekClient, String projectArn, String modelArn)
            throws Exception, RekognitionException {

        try {

            logger.log(Level.INFO, "Stopping {0}", modelArn);

            StopProjectVersionRequest stopProjectVersionRequest = StopProjectVersionRequest.builder()
                    .projectVersionArn(modelArn).build();

            StopProjectVersionResponse response = rekClient.stopProjectVersion(stopProjectVersionRequest);

            logger.log(Level.INFO, "Status: {0}", response.statusAsString());

            // Get the model version

            int start = findForwardSlash(modelArn, 3) + 1;
            int end = findForwardSlash(modelArn, 4);

            String versionName = modelArn.substring(start, end);

            // wait until model stops

            DescribeProjectVersionsRequest describeProjectVersionsRequest = DescribeProjectVersionsRequest.builder()
                    .projectArn(projectArn).versionNames(versionName).build();

            boolean stopped = false;

            // Wait until create finishes

            do {

                DescribeProjectVersionsResponse describeProjectVersionsResponse = rekClient
                        .describeProjectVersions(describeProjectVersionsRequest);

                for (ProjectVersionDescription projectVersionDescription : describeProjectVersionsResponse
                        .projectVersionDescriptions()) {

                    ProjectVersionStatus status = projectVersionDescription.status();

                    logger.log(Level.INFO, "stopping model: {0} ", modelArn);

                    switch (status) {

                    case STOPPED:
                        logger.log(Level.INFO, "Model stopped");
                        stopped = true;
                        break;

                    case STOPPING:
                        Thread.sleep(5000);
                        break;

                    case FAILED:
                        String error = "Model stopping failed: " + projectVersionDescription.statusAsString() + " "
                                + projectVersionDescription.statusMessage() + " " + modelArn;
                        logger.log(Level.SEVERE, error);
                        throw new Exception(error);

                    default:
                        String unexpectedError = "Unexpected stopping state: "
                                + projectVersionDescription.statusAsString() + " "
                                + projectVersionDescription.statusMessage() + " " + modelArn;
                        logger.log(Level.SEVERE, unexpectedError);
                        throw new Exception(unexpectedError);
                    }
                }

            } while (stopped == false);

        } catch (RekognitionException e) {
            logger.log(Level.SEVERE, "Could not stop model: {0}", e.getMessage());
            throw e;
        }

    }

    public static void main(String[] args) {

        String modelArn = null;
        String projectArn = null;


        final String USAGE = "\n" + "Usage: " + "<project_name> <version_name>\n\n" + "Where:\n"
                + "   project_arn - The ARN of the project that contains the model that you want to stop. \n\n"
                + "   model_arn - The ARN of the model version that you want to stop.\n\n";

        if (args.length != 2) {
            System.out.println(USAGE);
            System.exit(1);
        }

        projectArn = args[0];
        modelArn = args[1];


        try {

            // Get the Rekognition client.
            RekognitionClient rekClient = RekognitionClient.builder()
            .credentialsProvider(ProfileCredentialsProvider.create("custom-labels-access"))
            .region(Region.US_WEST_2)
            .build();

            // Stop model
            stopMyModel(rekClient, projectArn, modelArn);

            System.out.println(String.format("Model stopped: %s", modelArn));

            rekClient.close();

        } catch (RekognitionException rekError) {
            logger.log(Level.SEVERE, "Rekognition client error: {0}", rekError.getMessage());
            System.exit(1);
        } catch (Exception rekError) {
            logger.log(Level.SEVERE, "Error: {0}", rekError.getMessage());
            System.exit(1);
        }

    }

}