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JavaScript (v3): Sagemaker Geo Wkflw - Copyright and punctuation hous…
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…ekeeping.
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cpyle0819 authored and beqqrry-aws committed Sep 25, 2023
1 parent ef8ac8e commit 53ed68d
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Showing 2 changed files with 12 additions and 7 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -207,7 +207,7 @@ export class SageMakerPipelinesWkflw {
MESSAGES.creatingSQSQueue.replace("${QUEUE_NAME}", this.names.SQS_QUEUE)
);

// Create SQS queue for the SageMaker pipeline.
// Create an SQS queue for the SageMaker pipeline.
const {
queueUrl,
queueArn,
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Original file line number Diff line number Diff line change
@@ -1,3 +1,8 @@
/*
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0
*/

export const MESSAGES = {
greeting: `Welcome to the Amazon SageMaker pipeline example scenario. This example workflow will guide you through setting up and executing a SageMaker pipeline. The pipeline uses an AWS Lambda function and an Amazon Simple Queue Service (Amazon SQS) queue. It also runs a vector enrichment reverse geocode job to reverse geocode addresses in an input file and store the results in an export file.`,
greetingHeader: "Welcome to Amazon SageMaker Pipelines.",
Expand All @@ -8,17 +13,17 @@ export const MESSAGES = {
attachPolicy: 'Attaching IAM policy "${POLICY_NAME}" to role "${ROLE_NAME}".',
policyAttached: "IAM Policy attached.",
creatingFunction: "Creating Lambda function: ${FUNCTION_NAME}.",
functionCreated: "Created Lambda function with name: ${FUNCTION_NAME}",
functionCreated: "Created Lambda function with name: ${FUNCTION_NAME}.",
creatingSQSQueue: "Creating SQS queue: ${QUEUE_NAME}.",
sqsQueueCreated: "Created SQS queue with name: ${QUEUE_NAME}",
sqsQueueCreated: "Created SQS queue with name: ${QUEUE_NAME}.",
configuringLambdaSQSEventSource:
"Configuring ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}",
"Configuring ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}.",
lambdaSQSEventSourceConfigured:
"Configured ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}",
"Configured ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}.",
creatingPipeline: "Creating SageMaker pipeline: ${PIPELINE_NAME}.",
pipelineCreated: "Created SageMaker pipeline with name: ${PIPELINE_NAME}",
pipelineCreated: "Created SageMaker pipeline with name: ${PIPELINE_NAME}.",
creatingS3Bucket: "Creating S3 bucket: ${BUCKET_NAME}.",
s3BucketCreated: "Created S3 bucket with name: ${BUCKET_NAME}",
s3BucketCreated: "Created S3 bucket with name: ${BUCKET_NAME}.",
uploadingInputData: "Uploading input data to S3 bucket: ${BUCKET_NAME}.",
inputDataUploaded: "Uploaded input data to S3 bucket.",
executePipeline:
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