Eliminazione di un modello Amazon Rekognition Custom Labels

Modifica il valore di project-version-arn con il nome del progetto che desideri eliminare.

aws rekognition delete-project-version --project-version-arn model_arn \
  --profile custom-labels-access

Fornisci i seguenti parametri di riga di comando

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

"""
Purpose
Shows how to delete an existing Amazon Rekognition Custom Labels model.
"""


import argparse
import logging
import time
import boto3
from botocore.exceptions import ClientError

logger = logging.getLogger(__name__)


def find_forward_slash(input_string, n):
    """
    Returns the location of '/' after n number of occurences. 
    :param input_string: The string you want to search
    : n: the occurence that you want to find.
    """
    position = input_string.find('/')
    while position >= 0 and n > 1:
        position = input_string.find('/', position + 1)
        n -= 1
    return position


def delete_model(rek_client, project_arn, model_arn):
    """
    Deletes an Amazon Rekognition Custom Labels model.
    :param rek_client: The Amazon Rekognition Custom Labels Boto3 client.
    :param model_arn: The ARN of the model version that you want to delete.
    """

    try:
        # Delete the model
        logger.info("Deleting dataset: {%s}", model_arn)

        rek_client.delete_project_version(ProjectVersionArn=model_arn)

        # Get the model version name
        start = find_forward_slash(model_arn, 3) + 1
        end = find_forward_slash(model_arn, 4)
        version_name = model_arn[start:end]

        deleted = False

        # model might not be deleted yet, so wait deletion finishes.
        while deleted is False:
            describe_response = rek_client.describe_project_versions(ProjectArn=project_arn,
                                                                     VersionNames=[version_name])
            if len(describe_response['ProjectVersionDescriptions']) == 0:
                deleted = True
            else:
                logger.info("Waiting for model deletion %s", model_arn)
                time.sleep(5)

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

        return True

    except ClientError as err:
        logger.exception("Couldn't delete 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 delete."
    )

    parser.add_argument(
        "model_arn", help="The ARN of the model version that you want to delete."
    )


def confirm_model_deletion(model_arn):
    """
    Confirms deletion of the model. Returns True if delete entered.
    :param model_arn: The ARN of the model that you want to delete.
    """
    print(f"Are you sure you wany to delete model {model_arn} ?\n", model_arn)

    start = input("Enter delete to delete your model: ")
    if start == "delete":
        return True
    else:
        return False


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()

        if confirm_model_deletion(args.model_arn) is True:
            print(f"Deleting model: {args.model_arn}")

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

            delete_model(rekognition_client,
                         args.project_arn,
                         args.model_arn)

            print(f"Finished deleting model: {args.model_arn}")
        else:
            print(f"Not deleting model {args.model_arn}")

    except ClientError as err:
        print(f"Problem deleting model: {err}")


if __name__ == "__main__":
    main()

//Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
//PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-custom-labels-developer-guide/blob/master/LICENSE-SAMPLECODE.)

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

import software.amazon.awssdk.services.rekognition.RekognitionClient;

import software.amazon.awssdk.services.rekognition.model.DeleteProjectVersionRequest;
import software.amazon.awssdk.services.rekognition.model.DeleteProjectVersionResponse;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsRequest;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsResponse;
import software.amazon.awssdk.services.rekognition.model.RekognitionException;

public class DeleteModel {

    public static final Logger logger = Logger.getLogger(DeleteModel.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 deleteMyModel(RekognitionClient rekClient, String projectArn, String modelArn)
            throws InterruptedException {

        try {

            logger.log(Level.INFO, "Deleting model: {0}", projectArn);

            // Delete the model

            DeleteProjectVersionRequest deleteProjectVersionRequest = DeleteProjectVersionRequest.builder()
                    .projectVersionArn(modelArn).build();

            DeleteProjectVersionResponse response =
                    rekClient.deleteProjectVersion(deleteProjectVersionRequest);

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

            // Get the model version

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

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

            Boolean deleted = false;

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

            // Wait until model is deleted.

            do {

                DescribeProjectVersionsResponse describeProjectVersionsResponse = rekClient
                        .describeProjectVersions(describeProjectVersionsRequest);

                if (describeProjectVersionsResponse.projectVersionDescriptions().size()==0) {
                    logger.log(Level.INFO, "Waiting for model deletion: {0}", modelArn);
                    Thread.sleep(5000);
                } else {
                    deleted = true;
                    logger.log(Level.INFO, "Model deleted: {0}", modelArn);
                }
                
            } while (Boolean.FALSE.equals(deleted));

            logger.log(Level.INFO, "Model deleted: {0}", modelArn);

        } catch (

        RekognitionException e) {
            logger.log(Level.SEVERE, "Client error occurred: {0}", e.getMessage());
            throw e;
        }

    }

    public static void main(String args[]) {

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

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

        String projectArn = args[0];
        String modelVersion = args[1];

        try {

            RekognitionClient rekClient = RekognitionClient.builder().build();

            // Delete the model
            deleteMyModel(rekClient, projectArn, modelVersion);

            System.out.println(String.format("model deleted: %s", modelVersion));

            rekClient.close();

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

        catch (InterruptedException intError) {
            logger.log(Level.SEVERE, "Exception while sleeping: {0}", intError.getMessage());
            System.exit(1);
        }

    }

}