From fc48addd7152b8f71eca4bc178f496382f7d1931 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 09:13:21 -0400 Subject: [PATCH 01/21] added FSA content --- javav2/usecases/creating_fsa_app/README.md | 898 ++++++++++++++++++ .../usecases/creating_fsa_app/images/app.png | Bin 0 -> 601799 bytes .../creating_fsa_app/images/dbtable.png | Bin 0 -> 28295 bytes .../creating_fsa_app/images/overview.png | Bin 0 -> 73121 bytes .../creating_fsa_app/images/workflow.png | Bin 0 -> 36924 bytes 5 files changed, 898 insertions(+) create mode 100644 javav2/usecases/creating_fsa_app/README.md create mode 100644 javav2/usecases/creating_fsa_app/images/app.png create mode 100644 javav2/usecases/creating_fsa_app/images/dbtable.png create mode 100644 javav2/usecases/creating_fsa_app/images/overview.png create mode 100644 javav2/usecases/creating_fsa_app/images/workflow.png diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md new file mode 100644 index 00000000000..fbad15ab82d --- /dev/null +++ b/javav2/usecases/creating_fsa_app/README.md @@ -0,0 +1,898 @@ +# Creating a Feedback Sentiment Analyzer application using the AWS SDK for Java + +## Overview + +| Heading | Description | +| ----------- | ----------- | +| Description | Discusses how to develop a Feedback Sentiment Analyzer application that lets users manage comment cards. This application is developed by using the AWS SDK for Java (v2). | +| Audience | Developer (beginner / intermediate) | +| Updated | 9/01/2023 | +| Required skills | Java, Maven | + +## Purpose + +You can create a Feedback Sentiment Analyzer (FSA) sample application that performs these tasks: + +1. The static website assets are hosted in an Amazon S3 bucket and served using Amazon CloudFront. +2. Amazon Cognito allows authenticated access to Amazon API Gateway. +3. Amazon API Gateway puts objects in an Amazon S3 bucket. This triggers an EventBridge rule that starts a Step Functions workflow. +4. The Step Functions workflow uses AWS Lambda, Amazon Textract, Amazon Comprehend, Amazon Translate, and Amazon Polly to perform the business logic. +5. Metadata is stored in Amazon DynamoDB. Audio files are stored in the same Amazon S3 bucket used in step 3. +6. Amazon API Gateway fetches the metadata from Amazon DynamoDB. + + +![AWS Photo Analyzer](images/overview.png) + +As displayed in this illustration, the FSA application uses the following AWS services: + +* Amazon Rekognition +* Amazon DynamoDB +* Amazon S3 +* Amazon SNS +* AWS Lambda +* Amazon Cognito +* Amazon API Gateway + +#### Topics + ++ Prerequisites ++ Understand the photo asset management application ++ Create an IntelliJ project ++ Add the POM dependencies to your project ++ Create the Java classes ++ Deploy the AWS resources + +## Prerequisites + +To complete the tutorial, you need the following: + ++ An AWS account ++ A Java IDE (this tutorial uses the IntelliJ IDE) ++ Java JDK 17 ++ Maven 3.6 or later + +### Important + ++ The AWS services included in this document are included in the [AWS Free Tier](https://aws.amazon.com/free/?all-free-tier.sort-by=item.additionalFields.SortRank&all-free-tier.sort-order=asc). ++ This code has not been tested in all AWS Regions. Some AWS services are available only in specific Regions. For more information, see [AWS Regional Services](https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services). ++ Running this code might result in charges to your AWS account. ++ Be sure to delete all of the resources you create while going through this tutorial so that you won't be charged. ++ Also make sure to properly set up your development environment. For information, see [Setting up the AWS SDK for Java 2.x](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/setup.html). + +### Creating the resources + +The required AWS resources are created by using an AWS Cloud Development Kit (AWS CDK) script. This is discussed later in the document. There is no need to create any resources by using the AWS Management Console. + +## Understand the Feedback Sentiment Analyzer application + +The front end of the FSA application is a React application that uses the [Cloudscape Design System](https://cloudscape.design/). The application supports uploading images that contains text to an S3 bucket. The text represents comments made by a customer in various languages such as French. + +After a user authenticates by using Amazon Cognito, the application displays all uploaded images, the translated text, and a button that lets the user hear the audio (which was created by using Amazon Polly). + +![AWS Photo Analyzer](images/app.png) + +### What happens after an image is uploaded to an S3 bucket + +After an image is uploaded into the storage bucket, an EventBridge rule is triggered that starts a Step Functions workflow. + +![AWS Photo Analyzer](images/workflow.png) + +The following descibes each step in the workflow. + +- **ExtractText** - Extracts text from the image. The text can be in another language such as French. +- **AnalyzeSentiment** - Retrieves the sentiment of the text. For example, it can determine if the text is positive or negative. +- **ContinueIfPositive** - Routes the workflow based on the sentiment value. If the value is positive, the the next step is TranslateText. +- **TranslateText** - Translates the text into English. +- **SynthesizeAudio** - Converts the English text into an MP3 audio file and places the audio file into an S3 bucket. +- **PutPositiveComment** - Places the data into an Amazon DynamoDB table. + +**Note**: The client React application does not display any data until the workflow successfully completes and data is stored in the S3 bucket and Amazon DynamoDB table. + +The following illustration shows the Amazon DynamoDB table storing the values. + +![AWS Photo Analyzer](images/dbtable.png) + +**Note**: This Amazon DynamoDB table is created when you run the AWS CDK script to set up the resources. This is discussed later in this document. + +### Understand the AWS resources used by the FSA application + +This section describes the AWS resources that the FSA application uses. You do not have to manually deploy any of these AWS resources, such as the AWS Lambda functions, by using the AWS Management Console. Instead, you can deploy all of them by running a provided AWS CDK script. Instructions on how to deploy these AWS resources are provided later in this document. + +#### AWS Lambda functions + +The backend of the FSA application is implemented by using these AWS Lambda functions created by using the AWS SDK for Java v2: + +- **ExtractText** - The Lambda function used in the **ExtractText** step. +- **AnalyzeSentiment** - The Lambda function used in the **AnalyzeSentiment** step. +- **TranslateText** - The Lambda function used in the **TranslateText** step. +- **fnSynthesizeAudio** - The Lambda function used in the **SynthesizeAudio** step. + +**Note**: These AWS Lambda names are short names. The full names that appear in the AWS Management Console depend on how you configure the provided AWS CDK script. Full names appear as NAME}{Function Name}. For example, **fsa-scmacdon-javascript-fnSynthesizeAudio134971D4-x8Q5178Y4ZBH**. + +## Create an IntelliJ project + +1. In the IntelliJ IDE, choose **File**, **New**, **Project**. +2. In the **New Project** dialog box, choose **Maven**, and then choose **Next**. +3. For **GroupId**, enter **aws-spring**. +4. For **ArtifactId**, enter **fsa_app**. +6. Choose **Next**. +7. Choose **Finish**. + +## Add the POM dependencies to your project + +At this point, you have a new project named **fsa_app**. + +**Note:** Be sure to use Java 17 (as shown in the following **pom.xml** file). + +Make sure that the **pom.xml** file looks like the following. + +```xml + + + 4.0.0 + org.example + fsa_app + 1.0-SNAPSHOT + + 17 + 17 + UTF-8 + + + + + software.amazon.awssdk + bom + 2.20.45 + pom + import + + + org.apache.logging.log4j + log4j-bom + 2.19.0 + pom + import + + + + + + software.amazon.awssdk + dynamodb + + + commons-logging + commons-logging + 1.2 + + + com.fasterxml.jackson.core + jackson-databind + 2.12.5 + + + software.amazon.awssdk + dynamodb-enhanced + + + software.amazon.awssdk + apache-client + + + commons-logging + commons-logging + + + + + org.apache.logging.log4j + log4j-core + + + org.apache.logging.log4j + log4j-api + + + org.apache.logging.log4j + log4j-slf4j2-impl + + + org.apache.logging.log4j + log4j-1.2-api + + + software.amazon.awssdk + ses + + + software.amazon.awssdk + rekognition + + + com.amazonaws + aws-lambda-java-events + 3.11.1 + + + software.amazon.awssdk + s3 + + + software.amazon.awssdk + textract + + + software.amazon.awssdk + s3control + + + com.amazonaws + aws-lambda-java-core + 1.2.2 + + + software.amazon.awssdk + translate + + + software.amazon.awssdk + comprehend + + + org.json + json + 20230227 + + + software.amazon.awssdk + polly + + + software.amazon.awssdk + dynamodb + + + software.amazon.awssdk + dynamodb-enhanced + + + software.amazon.awssdk + sns + + + org.apache.maven.surefire + surefire-booter + 3.0.0-M3 + + + com.google.code.gson + gson + 2.10.1 + + + commons-io + commons-io + 2.5 + + + com.googlecode.json-simple + json-simple + 1.1 + + + + + + maven-surefire-plugin + 2.22.2 + + + org.apache.maven.plugins + maven-shade-plugin + 3.3.0 + + false + + + + package + + shade + + + + + + + +``` + +## Create the Java classes + +Create a Java package in the **main/java** folder named **com.example.fsa**. The Java files go into sub-packages. + +### Handlers package + +Create these Java classes in the **com.example.fsa.handlers** package. These Java classes use the AWS Lambda Java runtime API to build the AWS Lambda functions described earlier in this document. Each class represents a handler for a separate AWS Lambda function. For more information about the AWS Lambda Java runtime API, see [AWS Lambda function handler in Java](https://docs.aws.amazon.com/lambda/latest/dg/java-handler.html). + ++ **PollyHandler** - The handler for the **fnSynthesizeAudio** Lambda function. ++ **S3Handler** - The handler for the **ExtractText** Lambda function. ++ **SentimentHandler** - The handler for the ****AnalyzeSentiment** Lambda function. ++ **TranslateHandler** -The handler for the **TranslateText** Lambda function. + +#### PollyHandler class + +The following Java code represents the **PollyHanlder** class. + +```java +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.PollyService; +import com.example.fsa.services.S3Service; +import java.io.IOException; +import java.io.InputStream; +import java.util.regex.Matcher; +import java.util.regex.Pattern; +import java.util.Map; + +public class PollyHandler implements RequestHandler, String> { + @Override + public String handleRequest(Map requestObject, Context context) { + S3Service s3Service = new S3Service(); + PollyService pollyService = new PollyService(); + String myValues = requestObject.toString(); + context.getLogger().log("*** ALL values: " +myValues ); + String translatedText = getTranslatedText(myValues); + String key = getKeyName(myValues); + String newFileName = convertFileEx(key); + context.getLogger().log("*** Translated Text: " +translatedText +" and new key is "+newFileName); + try { + InputStream is = pollyService.synthesize(translatedText); + String audioFile = s3Service.putAudio(is, newFileName); + context.getLogger().log("You have successfully added the " +audioFile +" in the S3 bucket"); + return audioFile ; + } catch (IOException e) { + throw new RuntimeException(e); + } + } + + // This method extracts the value following translated_text using Reg Exps. + private String getTranslatedText(String myString) { + // Define the regular expression pattern to match key-value pair. + Pattern pattern = Pattern.compile("translated_text\\s*=\\s*([^,}]*)"); + Matcher matcher = pattern.matcher(myString); + + String extractedValue = null; + if (matcher.find()) { + // Find the second occurrence. + if (matcher.find()) { + extractedValue = matcher.group(1); + } + } + + if (extractedValue != null) { + return extractedValue; + } + return ""; + } + + // This method extracts the key using Reg Exps. + private static String getKeyName(String input) { + String pattern = "object=([^,}]+)"; + Pattern r = Pattern.compile(pattern); + Matcher m = r.matcher(input); + + if (m.find()) { + System.out.println("Found value: " + m.group(1)); + return m.group(1); + } + return ""; + } + + // Replaces the file extension to mp3. + public static String convertFileEx(String originalFileName) { + String newExtension = "mp3"; + + // Get the index of the last dot (.) in the filename. + int lastIndex = originalFileName.lastIndexOf("."); + if (lastIndex > 0) { + // Extract the file name without extension. + String fileNameWithoutExtension = originalFileName.substring(0, lastIndex); + return fileNameWithoutExtension + "." + newExtension; + } + return ""; + } +} + +``` + +#### S3Handler class + +The following Java code represents the **S3Handler** class. +```java +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.FSAApplicationResources; +import com.example.fsa.services.ExtractTextService; +import java.util.Map; + +public class S3Handler implements RequestHandler, String>{ + + @Override + public String handleRequest(Map requestObject, Context context) { + // Get the Amazon Simple Storage Service (Amazon S3) bucket and object key from the Amazon S3 event. + ExtractTextService textService = new ExtractTextService(); + String bucket = (String) requestObject.getOrDefault("bucket", ""); + String fileName = (String) requestObject.getOrDefault("object", ""); + context.getLogger().log("*** Bucket: " + bucket + ", fileName: " + fileName); + String myText = textService.getCardText(FSAApplicationResources.STORAGE_BUCKET, fileName); + context.getLogger().log("*** Text: " + myText); + return myText; + } +} +``` + +### SentimentHandler class + +The following is the **SentimentHandler** class. + +```java +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.DetectSentimentService; +import org.json.simple.JSONObject; +import java.util.Map; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +public class SentimentHandler implements RequestHandler, JSONObject> { + + @Override + public JSONObject handleRequest(Map requestObject, Context context) { + // Log the entire JSON input. + String inputString = requestObject.toString(); + context.getLogger().log("Received JSON: " + inputString); + String value = extractValueFromRequestObject(inputString); + context.getLogger().log("Extracted text: " + value); + DetectSentimentService detectSentimentService = new DetectSentimentService(); + JSONObject jsonOb = detectSentimentService.detectSentiments(value); + context.getLogger().log("NEW JSON: " + jsonOb.toJSONString()); + return jsonOb; + } + + private static String extractValueFromRequestObject(String inputString) { + Matcher matcher = Pattern.compile("source_text=([^,}]+)").matcher(inputString); + if (matcher.find()) { + return matcher.group(1); + } + return ""; + } +} + +``` + +### TranslateHandler class + +The following Java code represents the **TranslateHandler** class. + +```java +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.DetectSentimentService; +import com.example.fsa.services.TranslateService; +import org.json.simple.JSONObject; +import java.util.Map; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +public class TranslateHandler implements RequestHandler, JSONObject> { + + @Override + public JSONObject handleRequest(Map requestObject, Context context) { + TranslateService translateService = new TranslateService(); + String preValStr = requestObject.toString(); + context.getLogger().log("Pre Value: " + preValStr); + String sourceText = getTranslatedText(preValStr); + context.getLogger().log("NEW Value: " + sourceText); + + // We have the source text - need to figure out what language its in. + DetectSentimentService sentimentService = new DetectSentimentService(); + String lanCode = sentimentService.detectTheDominantLanguage(sourceText); + String translatedText; + translatedText = translateService.translateText(lanCode, sourceText); + context.getLogger().log("Translated text : " + translatedText); + JSONObject jsonResponse = new JSONObject(); + jsonResponse.put("translated_text", translatedText); + return jsonResponse; + } + + private String getTranslatedText(String myString) { + String extractedValue; + Pattern pattern = Pattern.compile("extracted_text\\s*=\\s*([^,}]*)"); + Matcher matcher = pattern.matcher(myString); + if (matcher.find()) { + extractedValue = matcher.group(1); + return extractedValue; + } + return ""; + } +} +``` + +### Services package + +Create these Java classes in the **com.example.fsa.services** package. These Java classes use the AWS SDK for Java (v2) service clients to perform various AWS operations. For example, the **TranslateService** class translates the given text into english. + ++ **DetectSentimentService** - Uses the **ComprehendClient** to detect the sentimant of text. ++ **ExtractTextService** - Uses the **TextractClient** to extract text from an image located in an S3 bucket. ++ **PollyService** - Uses the **PollyClient** to convert text into an mp3 audio file. ++ **S3Service** - Uses the **S3Client** to place an audio file into an S3 bucket. ++ **TranslateService** - Uses the **TranslateClient** to translate text into english. + + ### DetectSentimentService class + + The following Java code represents the **DetectSentimentService** class. + +```java +package com.example.fsa.services; +import org.json.simple.JSONObject; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.comprehend.ComprehendClient; +import software.amazon.awssdk.services.comprehend.model.ComprehendException; +import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageRequest; +import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageResponse; +import software.amazon.awssdk.services.comprehend.model.DetectSentimentRequest; +import software.amazon.awssdk.services.comprehend.model.DetectSentimentResponse; +import software.amazon.awssdk.services.comprehend.model.DominantLanguage; +import java.util.List; + +public class DetectSentimentService { + + private ComprehendClient getClient() { + return ComprehendClient.builder() + .region(Region.US_EAST_1) + .build(); + } + + public JSONObject detectSentiments(String text){ + try { + String languageCode = detectTheDominantLanguage(text); + DetectSentimentRequest detectSentimentRequest = DetectSentimentRequest.builder() + .text(text) + .languageCode(languageCode) + .build(); + + DetectSentimentResponse detectSentimentResult = getClient().detectSentiment(detectSentimentRequest); + JSONObject jsonObject = new JSONObject(); + jsonObject.put("sentiment", detectSentimentResult.sentimentAsString()); + jsonObject.put("language_code", languageCode); + return jsonObject; + + } catch (ComprehendException e) { + System.err.println(e.awsErrorDetails().errorMessage()); + System.exit(1); + } + return null; + } + + public String detectTheDominantLanguage(String text){ + try { + DetectDominantLanguageRequest request = DetectDominantLanguageRequest.builder() + .text(text) + .build(); + + String lanCode =""; + DetectDominantLanguageResponse resp = getClient().detectDominantLanguage(request); + List allLanList = resp.languages(); + for (DominantLanguage lang : allLanList) { + System.out.println("Language is " + lang.languageCode()); + lanCode = lang.languageCode(); + } + return lanCode; + + } catch (ComprehendException e) { + System.err.println(e.awsErrorDetails().errorMessage()); + System.exit(1); + } + return ""; + } +} + +``` + +### ExtractTextService class + +The following Java code represents the **ExtractTextService** class. + +```java + package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.textract.model.BlockType; +import software.amazon.awssdk.services.textract.model.Document; +import software.amazon.awssdk.services.textract.model.DetectDocumentTextRequest; +import software.amazon.awssdk.services.textract.model.DetectDocumentTextResponse; +import software.amazon.awssdk.services.textract.model.Block; +import software.amazon.awssdk.services.textract.TextractClient; +import software.amazon.awssdk.services.textract.model.S3Object; + +public class ExtractTextService { + + public String getCardText(String bucketName, String obName) { + Region region = Region.US_EAST_1; + TextractClient textractClient = TextractClient.builder() + .region(region) + .build(); + + S3Object s3Object = S3Object.builder() + .bucket(bucketName) + .name(obName) + .build(); + + // Create a Document object and reference the s3Object instance. + Document myDoc = Document.builder() + .s3Object(s3Object) + .build(); + + DetectDocumentTextRequest detectDocumentTextRequest = DetectDocumentTextRequest.builder() + .document(myDoc) + .build(); + + // Use StringBuilder to build the complete text. + StringBuilder completeText = new StringBuilder(); + DetectDocumentTextResponse textResponse = textractClient.detectDocumentText(detectDocumentTextRequest); + for (Block block : textResponse.blocks()) { + if (block.blockType() == BlockType.WORD) { + if (completeText.length() == 0) { + completeText.append(block.text()); + } else { + completeText.append(" ").append(block.text()); + } + } + } + return completeText.toString(); + } +} + +``` + + ### PollyService class + + The following Java code represents the **PollyService** class. + +```java +package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.polly.PollyClient; +import software.amazon.awssdk.services.polly.model.DescribeVoicesRequest; +import software.amazon.awssdk.services.polly.model.SynthesizeSpeechRequest; +import software.amazon.awssdk.services.polly.model.Voice; +import software.amazon.awssdk.services.polly.model.DescribeVoicesResponse; +import software.amazon.awssdk.services.polly.model.OutputFormat; +import java.io.IOException; +import java.io.InputStream; + + +public class PollyService { + + public InputStream synthesize(String text) throws IOException { + PollyClient polly = PollyClient.builder() + .region(Region.US_EAST_1) + .build(); + + DescribeVoicesRequest describeVoiceRequest = DescribeVoicesRequest.builder() + .engine("neural") + .build(); + + DescribeVoicesResponse describeVoicesResult = polly.describeVoices(describeVoiceRequest); + Voice voice = describeVoicesResult.voices().stream() + .filter(v -> v.name().equals("Joanna")) + .findFirst() + .orElseThrow(() -> new RuntimeException("Voice not found")); + + SynthesizeSpeechRequest synthReq = SynthesizeSpeechRequest.builder() + .text(text) + .outputFormat(OutputFormat.MP3) + .voiceId(voice.id()) + .build(); + + return polly.synthesizeSpeech(synthReq); + } +} + +``` + +### S3Service class + +The following Java code represents the **S3Service** class. + +```java + package com.example.fsa.services; + +import com.example.fsa.FSAApplicationResources; +import software.amazon.awssdk.core.sync.RequestBody; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.s3.S3Client; +import software.amazon.awssdk.services.s3.model.PutObjectRequest; +import java.io.ByteArrayOutputStream; +import java.io.IOException; +import java.io.InputStream; + +public class S3Service { + + // Put the audio file into the Amazon S3 bucket. + public String putAudio(InputStream is, String key) throws IOException { + S3Client s3 = S3Client.builder() + .region(Region.US_EAST_1) + .build(); + + PutObjectRequest putOb = PutObjectRequest.builder() + .bucket(FSAApplicationResources.STORAGE_BUCKET) + .contentType("audio/mp3") + .key(key) + .build(); + + s3.putObject(putOb, RequestBody.fromBytes(inputStreamToBytes(is))); + return key; + } + + public static byte[] inputStreamToBytes(InputStream inputStream) throws IOException { + ByteArrayOutputStream buffer = new ByteArrayOutputStream(); + byte[] data = new byte[1024]; + int nRead; + + while ((nRead = inputStream.read(data, 0, data.length)) != -1) { + buffer.write(data, 0, nRead); + } + + buffer.flush(); + return buffer.toByteArray(); + } +} + + +``` + +### TranslateService class + +The following Java code represents the **TranslateService** class. + +```java + package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.translate.TranslateClient; +import software.amazon.awssdk.services.translate.model.TranslateTextRequest; +import software.amazon.awssdk.services.translate.model.TranslateTextResponse; + +public class TranslateService { + + public String translateText(String lanCode, String text) { + TranslateClient translateClient = TranslateClient.builder() + .region(Region.US_EAST_1) + .build(); + + TranslateTextRequest textRequest = TranslateTextRequest.builder() + .sourceLanguageCode(lanCode) + .targetLanguageCode("en") + .text(text) + .build(); + + TranslateTextResponse textResponse = translateClient.translateText(textRequest); + return textResponse.translatedText(); + } +} + +``` + + + +### FSAApplicationResources class + +Add the The following Java code to the **com.example.fsa** package. This represents the **FSAApplicationResources** class. + +```java +package com.example.fsa; + +public class FSAApplicationResources { + + public static final String STORAGE_BUCKET = "fsa-scmacdon-javascript-mediabucket8240391c-1wba4q2k3xco9"; +} + +``` + + +## Deploy the AWS resources + +At this point, you have completed all of the application Java business logic required for the PAM application to work. Now you need to deploy the AWS resources, including the AWS Lambda functions and API Gateway endpoints in order for the application to work. Instead of deploying all of the resources manually by using the AWS Management Console, you can use a provided AWS CDK script. Using the CDK script makes it more efficient to deploy the resources. + +**Note**: For information about the AWS CDK, see [What is the AWS CDK](https://docs.aws.amazon.com/cdk/v2/guide/home.html). + +For complete instuctions on how to run the supplied AWS CDK script, see [PAFeedback Sentiment Analyzer (FSA)](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/applications/feedback_sentiment_analyzer/README.md). + +### Update the Lambda functions + +After you execute the AWS CDK script, the Lambda functions are created. However, you need to replace the ones installed using the AWS CDK with the ones you created by using the AWS SDK for Java. To perform this task, you can run Java code that automatically updates the Lambda functions using a FAT JAR. Perform the following tasks: + +1. Update the FSAApplicationResources with the AWS resource names that the AWS CDK script created. Make sure to update the **STORAGE_BUCKET** value. + +2. Create the FAT JAR by running **mvn package**. The JAR file can be located in the target folder. + +3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **mediabucket**. (This was created by the AWS CDK script.) + +![AWS Photo Analyzer](images/kotlinJarS3.png) + +4. Create a new Java project. For information, see [Basic setup to work with AWS services](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/setup-basics.html). + +5. Add the following Java code to the project and update the Java variable names with the resources created by the AWS CDK script. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. Run the following code. + +```java +package com.pam + +import aws.sdk.kotlin.services.lambda.LambdaClient +import aws.sdk.kotlin.services.lambda.model.UpdateFunctionCodeRequest +import aws.sdk.kotlin.services.lambda.waiters.waitUntilFunctionUpdated + +suspend fun main() { + val key = "PhotoAssetRestKotlin-1.0-SNAPSHOT-all.jar" + val bucketName = "" + val functionNamesLabels = "" + val uploadFunction = "" + val downloadFunction = "" + val s3Handle = "" + + // Replace all four AWS Lambda functions. + updateFunctionCode(functionNamesLabels, bucketName, key) + updateFunctionCode( uploadFunction, bucketName, key) + updateFunctionCode(downloadFunction, bucketName, key) + updateFunctionCode(s3Handle, bucketName, key) + println("You have replaced all PAM Application Lambda functions!") +} + +suspend fun updateFunctionCode(functionNameVal: String?, bucketName: String?, key: String?) { + val functionCodeRequest = UpdateFunctionCodeRequest { + functionName = functionNameVal + publish = true + s3Bucket = bucketName + s3Key = key + } + + LambdaClient { region = "us-east-1" }.use { awsLambda -> + val response = awsLambda.updateFunctionCode(functionCodeRequest) + awsLambda.waitUntilFunctionUpdated { + functionName = functionNameVal + } + println("The last modified value is " + response.lastModified) + } +} + +``` + +When done, you see a message that the AWS Lambda functions have been updated with the Kotlin FAT JAR. + +![AWS Photo Analyzer](images/kotlinProgram.png) + + + +### Run the application + +When you run the AWS CDK script, you can run the client application by using the Amazon Cloudfront distribution URL as specified in the supplied AWS CDK instructions. + +### Next steps +Congratulations! You have created and deployed the Photo Asset Management application. 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zcCP}xeuPea<#s0z_rmVn8V~L8?}!PCysE#jUWF(Xls2e-mk6cl~QqC@x?Zg4vmE*6}rFN~920C(hFve)d=x`nqs8>?{RD-NHdSh)NzOz{`uF1uuT645#8 z&(v9jv#z^T;Jpn%#PPe~wl4GftIOQ!UiloF?|4{3YC99|Q1AYT(B+5n9!mp>duvbm zYkeZXs_D&0wBp&KSaZQ&K)4#ZGK1mYXZsJR53s+WkEw5DSMc>dXf7D8<{GuUm`+x0+o+E~f{ zPBbfr{C_V^{1E#!YRB&q+@~|8zd}TA^$XpmT!J#Le|Q2QPx%i8j4ne` z(BHBLzwQ!h6+eq2P^HsvQu4!mmA$c)>3(ASXc`Mk=974h@H_Xb-Y48I_u9Ih`4)VKN?u0kZkF_;7yk#RIf8ir literal 0 HcmV?d00001 From 6c50902452a5a4a25ab1c14946e3b44cba1def8c Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 11:22:19 -0400 Subject: [PATCH 02/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 75 +++++++++++++++++++++- 1 file changed, 72 insertions(+), 3 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index fbad15ab82d..9684d5d689d 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -808,9 +808,78 @@ package com.example.fsa; public class FSAApplicationResources { - public static final String STORAGE_BUCKET = "fsa-scmacdon-javascript-mediabucket8240391c-1wba4q2k3xco9"; + public static final String STORAGE_BUCKET = ""; } +``` + +### ModifyLambda class + +Add the The following Java code to the **com.example.fsa** package. This represents the **ModifyLambda** class that is used to update all four Lambda functions created using the CDK script with the Lambda functions created using the AWS SDK for Java V2. Besure to specify the correct Lambda function names and the name of the FAT JAR that is placed in the S3 bucket (see the instructions later in this document). + +```java +package com.example.fsa; + +import software.amazon.awssdk.core.waiters.WaiterResponse; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.lambda.LambdaClient; +import software.amazon.awssdk.services.lambda.model.GetFunctionConfigurationRequest; +import software.amazon.awssdk.services.lambda.model.GetFunctionConfigurationResponse; +import software.amazon.awssdk.services.lambda.model.LambdaException; +import software.amazon.awssdk.services.lambda.model.UpdateFunctionCodeRequest; +import software.amazon.awssdk.services.lambda.model.UpdateFunctionCodeResponse; +import software.amazon.awssdk.services.lambda.waiters.LambdaWaiter; + +public class ModifyLambda { + + public static void main(String[]args) { + String analyzeSentimentLambda = "" ; + String synthesizeAudioLambda = """ ; + String extractTextLambda = "" ; + String translateTextLambda = """ ; + String bucketName = FSAApplicationResources.STORAGE_BUCKET; + String key = ""; + + Region region = Region.US_EAST_1; + LambdaClient awsLambda = LambdaClient.builder() + .region(region) + .build(); + + // Update all four Lambda functions. + updateFunctionCode(awsLambda, analyzeSentimentLambda, bucketName, key); + updateFunctionCode(awsLambda, synthesizeAudioLambda, bucketName, key); + updateFunctionCode(awsLambda, extractTextLambda, bucketName, key); + updateFunctionCode(awsLambda, translateTextLambda, bucketName, key); + System.out.println("You have successfully updated the AWS Lambda functions"); + } + + public static void updateFunctionCode(LambdaClient awsLambda, String functionName, String bucketName, String key) { + try { + LambdaWaiter waiter = awsLambda.waiter(); + UpdateFunctionCodeRequest functionCodeRequest = UpdateFunctionCodeRequest.builder() + .functionName(functionName) + .publish(true) + .s3Bucket(bucketName) + .s3Key(key) + .build(); + + UpdateFunctionCodeResponse response = awsLambda.updateFunctionCode(functionCodeRequest) ; + GetFunctionConfigurationRequest getFunctionConfigRequest = GetFunctionConfigurationRequest.builder() + .functionName(functionName) + .build(); + + WaiterResponse waiterResponse = waiter.waitUntilFunctionUpdated(getFunctionConfigRequest); + waiterResponse.matched().response().ifPresent(System.out::println); + System.out.println("The last modified value is " +response.lastModified()); + + } catch(LambdaException e) { + System.err.println(e.getMessage()); + System.exit(1); + } + } +} + + ``` @@ -830,11 +899,11 @@ After you execute the AWS CDK script, the Lambda functions are created. However, 2. Create the FAT JAR by running **mvn package**. The JAR file can be located in the target folder. -3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **mediabucket**. (This was created by the AWS CDK script.) +3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **STORAGE_BUCKET**. (This was created by the AWS CDK script.) ![AWS Photo Analyzer](images/kotlinJarS3.png) -4. Create a new Java project. For information, see [Basic setup to work with AWS services](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/setup-basics.html). +4. Run the ModifyLambda Java class. 5. Add the following Java code to the project and update the Java variable names with the resources created by the AWS CDK script. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. Run the following code. From 90b56ec7453299d580280e693bfac3f643ab0c92 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 11:23:31 -0400 Subject: [PATCH 03/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 9684d5d689d..a695ec1dfee 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -815,7 +815,7 @@ public class FSAApplicationResources { ### ModifyLambda class -Add the The following Java code to the **com.example.fsa** package. This represents the **ModifyLambda** class that is used to update all four Lambda functions created using the CDK script with the Lambda functions created using the AWS SDK for Java V2. Besure to specify the correct Lambda function names and the name of the FAT JAR that is placed in the S3 bucket (see the instructions later in this document). +Add the following Java code to the **com.example.fsa** package. This represents the **ModifyLambda** class that is used to update all four Lambda functions created using the CDK script with the Lambda functions created using the AWS SDK for Java V2. Besure to specify the correct Lambda function names and the name of the FAT JAR that is placed in the S3 bucket (see the instructions later in this document). ```java package com.example.fsa; From 927d97fde1c8866e6361b4cd73d25df607233b95 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 11:48:49 -0400 Subject: [PATCH 04/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index a695ec1dfee..62218bebd2f 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -815,7 +815,7 @@ public class FSAApplicationResources { ### ModifyLambda class -Add the following Java code to the **com.example.fsa** package. This represents the **ModifyLambda** class that is used to update all four Lambda functions created using the CDK script with the Lambda functions created using the AWS SDK for Java V2. Besure to specify the correct Lambda function names and the name of the FAT JAR that is placed in the S3 bucket (see the instructions later in this document). +Add the following Java code to the **com.example.fsa** package. This represents the **ModifyLambda** class that is used to update all four Lambda functions created using the CDK script with the Lambda functions created using the AWS SDK for Java V2. Specify the correct Lambda function names and the name of the FAT JAR that is placed in the S3 bucket (see the instructions later in this document). ```java package com.example.fsa; From 3710288bf4b5511452d938ea234cd2396864f139 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 11:49:45 -0400 Subject: [PATCH 05/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 62218bebd2f..9a4df6ecbe4 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -5,7 +5,7 @@ | Heading | Description | | ----------- | ----------- | | Description | Discusses how to develop a Feedback Sentiment Analyzer application that lets users manage comment cards. This application is developed by using the AWS SDK for Java (v2). | -| Audience | Developer (beginner / intermediate) | +| Audience | Developer (intermediate / advanced) | | Updated | 9/01/2023 | | Required skills | Java, Maven | @@ -879,7 +879,6 @@ public class ModifyLambda { } } - ``` From 4190da1c0d3a0a7f2a3f1d7a810dc996a8b08526 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 12:29:10 -0400 Subject: [PATCH 06/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 63 ++-------------------- 1 file changed, 5 insertions(+), 58 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 9a4df6ecbe4..bdf60d6b364 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -797,8 +797,6 @@ public class TranslateService { ``` - - ### FSAApplicationResources class Add the The following Java code to the **com.example.fsa** package. This represents the **FSAApplicationResources** class. @@ -878,17 +876,15 @@ public class ModifyLambda { } } } - ``` - ## Deploy the AWS resources -At this point, you have completed all of the application Java business logic required for the PAM application to work. Now you need to deploy the AWS resources, including the AWS Lambda functions and API Gateway endpoints in order for the application to work. Instead of deploying all of the resources manually by using the AWS Management Console, you can use a provided AWS CDK script. Using the CDK script makes it more efficient to deploy the resources. +At this point, you have completed all of the application Java business logic required for the FSA application to work. Now you need to deploy the AWS resources, including the AWS Lambda functions and API Gateway endpoints in order for the application to work. Instead of deploying all of the resources manually by using the AWS Management Console, you can use a provided AWS CDK script. Using the CDK script makes it more efficient to deploy the resources. **Note**: For information about the AWS CDK, see [What is the AWS CDK](https://docs.aws.amazon.com/cdk/v2/guide/home.html). -For complete instuctions on how to run the supplied AWS CDK script, see [PAFeedback Sentiment Analyzer (FSA)](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/applications/feedback_sentiment_analyzer/README.md). +For complete instuctions on how to run the supplied AWS CDK script, see [Feedback Sentiment Analyzer (FSA)](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/applications/feedback_sentiment_analyzer/README.md). ### Update the Lambda functions @@ -902,64 +898,15 @@ After you execute the AWS CDK script, the Lambda functions are created. However, ![AWS Photo Analyzer](images/kotlinJarS3.png) -4. Run the ModifyLambda Java class. - -5. Add the following Java code to the project and update the Java variable names with the resources created by the AWS CDK script. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. Run the following code. - -```java -package com.pam - -import aws.sdk.kotlin.services.lambda.LambdaClient -import aws.sdk.kotlin.services.lambda.model.UpdateFunctionCodeRequest -import aws.sdk.kotlin.services.lambda.waiters.waitUntilFunctionUpdated - -suspend fun main() { - val key = "PhotoAssetRestKotlin-1.0-SNAPSHOT-all.jar" - val bucketName = "" - val functionNamesLabels = "" - val uploadFunction = "" - val downloadFunction = "" - val s3Handle = "" - - // Replace all four AWS Lambda functions. - updateFunctionCode(functionNamesLabels, bucketName, key) - updateFunctionCode( uploadFunction, bucketName, key) - updateFunctionCode(downloadFunction, bucketName, key) - updateFunctionCode(s3Handle, bucketName, key) - println("You have replaced all PAM Application Lambda functions!") -} - -suspend fun updateFunctionCode(functionNameVal: String?, bucketName: String?, key: String?) { - val functionCodeRequest = UpdateFunctionCodeRequest { - functionName = functionNameVal - publish = true - s3Bucket = bucketName - s3Key = key - } - - LambdaClient { region = "us-east-1" }.use { awsLambda -> - val response = awsLambda.updateFunctionCode(functionCodeRequest) - awsLambda.waitUntilFunctionUpdated { - functionName = functionNameVal - } - println("The last modified value is " + response.lastModified) - } -} - -``` - -When done, you see a message that the AWS Lambda functions have been updated with the Kotlin FAT JAR. - -![AWS Photo Analyzer](images/kotlinProgram.png) - +4. Run the ModifyLambda Java class. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. When done, you see a message that the AWS Lambda functions have been updated with the Kotlin FAT JAR. ### Run the application -When you run the AWS CDK script, you can run the client application by using the Amazon Cloudfront distribution URL as specified in the supplied AWS CDK instructions. +After you run the AWS CDK script, you can run the client application by using the Amazon Cloudfront distribution URL as specified in the supplied AWS CDK instructions. ### Next steps -Congratulations! You have created and deployed the Photo Asset Management application. As stated at the beginning of this tutorial, be sure to delete all of the resources by following the AWS CDK instructions so that you won't continue to be charged for them. +Congratulations! You have created and deployed the FSA application. As stated at the beginning of this tutorial, be sure to delete all of the resources by following the AWS CDK instructions so that you won't continue to be charged for them. For more AWS multiservice examples, see [usecases](https://github.com/awsdocs/aws-doc-sdk-examples/tree/master/javav2/usecases). From 57e425841cf163c2be1bd6e71d7ed8e1eeeafd51 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 12:31:44 -0400 Subject: [PATCH 07/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index bdf60d6b364..e07715339cc 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -11,14 +11,14 @@ ## Purpose -You can create a Feedback Sentiment Analyzer (FSA) sample application that performs these tasks: - -1. The static website assets are hosted in an Amazon S3 bucket and served using Amazon CloudFront. -2. Amazon Cognito allows authenticated access to Amazon API Gateway. -3. Amazon API Gateway puts objects in an Amazon S3 bucket. This triggers an EventBridge rule that starts a Step Functions workflow. -4. The Step Functions workflow uses AWS Lambda, Amazon Textract, Amazon Comprehend, Amazon Translate, and Amazon Polly to perform the business logic. -5. Metadata is stored in Amazon DynamoDB. Audio files are stored in the same Amazon S3 bucket used in step 3. -6. Amazon API Gateway fetches the metadata from Amazon DynamoDB. +You can develop a sample application for a Feedback Sentiment Analyzer (FSA) that accomplishes the following tasks: + +1. Host the static website assets within an Amazon S3 bucket, and utilize Amazon CloudFront for their distribution. +2. Implement authenticated access to Amazon API Gateway through Amazon Cognito. +3. Configure Amazon API Gateway to deposit items into an Amazon S3 bucket, subsequently triggering an EventBridge rule that initiates a Step Functions workflow. +4. The Step Functions workflow leverages AWS Lambda, Amazon Textract, Amazon Comprehend, Amazon Translate, and Amazon Polly to execute the core business logic. +5. Metadata gets stored within Amazon DynamoDB, while audio files are stored within the same Amazon S3 bucket referenced in step 3. +Amazon API Gateway retrieves the metadata from Amazon DynamoDB ![AWS Photo Analyzer](images/overview.png) From 5dcce40bf00c3358e50d91ca58fbe253a908dde9 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 12:45:19 -0400 Subject: [PATCH 08/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 15 +++++++++++++-- .../usecases/creating_fsa_app/images/role.png | Bin 0 -> 31601 bytes 2 files changed, 13 insertions(+), 2 deletions(-) create mode 100644 javav2/usecases/creating_fsa_app/images/role.png diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index e07715339cc..aada76ad2bc 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -896,11 +896,22 @@ After you execute the AWS CDK script, the Lambda functions are created. However, 3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **STORAGE_BUCKET**. (This was created by the AWS CDK script.) -![AWS Photo Analyzer](images/kotlinJarS3.png) - 4. Run the ModifyLambda Java class. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. When done, you see a message that the AWS Lambda functions have been updated with the Kotlin FAT JAR. +### Update the permission that the Lambda roles use + +Each Lambda function has a role used to inoke the Lambda function. For example, the **fnAnalyzeSentiment** function has this role. + +![AWS Photo Analyzer](images/role.png) + +You need to ensure each role has the correct service permission in order to invoke the corresponding AWS Service. 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z{Tqf8n!lwPNSXAdD7+;j)Oydb<42m? z^<%$CzLyK`m+~`NqvpL>>d(=_AoGcutk{tmAqg^n65jEcO_+)Gn`uB2I$lry_%#r< z+s(yr)w=lU+p$|I+i+{Imv_MYPas^3KnnV$OE(DrQFK0VXIYCJea36mtq1|29N-`V z@HZE_l7}Ar;Ej@%l2Qh!p(aIRlIWsP$HQ0Wq6k>M2Q!|_Av?q2=l^;C;UB~Jrw__v ztXqBqP=*W&`ww$j&cFTn6VSZ=|LS7@nBGwnhX@Eu#D9WMalbU(_dQh|e&VRml`yZ< z4oiDaPS!uQ$t;`vm6a8o#!hI?*yE1-lIohUR}o+V0GFEos6Jcp@z4|;`sVph+{dfI zaP%00zKwA`Mc^*rVL$KLrE|q{jCsLov~|47jg~0h8z9IMuxOT0x+=FtZt7lvx+Z9E zul^JUpwK%*Bc>wAzy6`04*j)Yb-kSiK-0xP4Fk$W8L&aH0qsSS_Bz93>&Ej@5l#9u z0Bn^4V4BS>1iHhsa zv{&5-#R#{iVsK{q*Fc;~B;&GXx`gMN{h&=Sq+5QN8h)=>t;DzN!rmqV>}`+qkYHLF zH!Z@xXTE?x>|$ho8>%>fw74ztf(zl0#(xrEq{4c=lyH}cgIP=B|8?rm+W>q8pQ47vNlER=l`7xNe zYLyJz`kF~}*hLc)42x5uJje`C_*aSAa}Q8D4mlo$@7(P!07$ZhvVi&utj~w`HLRsV zW}_hhTFB^38<2(lLL`2OM09~M&9-)-n4av3*C^|7=l zLV+?x{KwoeQ?8hXs^ZMp%^NTm!!4 zNMJcZT;z&YcF%6-&mLR2ae4kXjdxZ@F%w_$<2~h}#>!(#nI1mNNF}M#;lpZcF4OpY zB}vvcAo{i=DUwJiF!yJ}_F|`cj>$Tadxb~rX*%14|{cMgm)3#DNm0}W5 zecRbu+@w_i#0gTUeLR%Mu_Iu_GP4}-5Tovl-t6t{h)*iaE|btXuSF8%7qwmhrBC9ZK0FR}1TwpA~B5E7Ah+ceU10xg# zXh+jS(yP{mBqC`N?j8eBq(PDR0^JPckZn Date: Thu, 31 Aug 2023 12:46:07 -0400 Subject: [PATCH 09/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index aada76ad2bc..b713e8d0b4b 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -901,7 +901,7 @@ After you execute the AWS CDK script, the Lambda functions are created. However, ### Update the permission that the Lambda roles use -Each Lambda function has a role used to inoke the Lambda function. For example, the **fnAnalyzeSentiment** function has this role. +Each Lambda function has a role used to invoke the Lambda function. For example, the **fnAnalyzeSentiment** function has this role. ![AWS Photo Analyzer](images/role.png) From d1011f87547702c5c0a99959be83d83fdf39f5e0 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 12:50:59 -0400 Subject: [PATCH 10/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index b713e8d0b4b..af6ff860481 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -1,4 +1,4 @@ -# Creating a Feedback Sentiment Analyzer application using the AWS SDK for Java +# Creating a Feedback Sentiment Analyzer application using the AWS SDK for Java ## Overview @@ -896,7 +896,7 @@ After you execute the AWS CDK script, the Lambda functions are created. However, 3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **STORAGE_BUCKET**. (This was created by the AWS CDK script.) -4. Run the ModifyLambda Java class. Make sure to specify the exact names, which are provided in the AWS Lambda console. Otherwise, the code does not work. When done, you see a message that the AWS Lambda functions have been updated with the Kotlin FAT JAR. +4. Run the **ModifyLambda** Java class. Make sure to specify the exact AWS Lambda names, which are provided in the AWS Lambda console. Otherwise, the code does not work. When done, you see a message that the AWS Lambda functions have been updated with the FAT JAR. ### Update the permission that the Lambda roles use @@ -905,13 +905,12 @@ Each Lambda function has a role used to invoke the Lambda function. For example, ![AWS Photo Analyzer](images/role.png) -You need to ensure each role has the correct service permission in order to invoke the corresponding AWS Service. If you do not modify role's permission that each Lambda function uses, then you will encounter a permission error. +You need to ensure each role has the correct service permission in order to invoke the corresponding AWS Service. If you do not modify the role's permission that each Lambda function uses, then you will encounter a permission error. **Note**: For information about how to modify the a role's permission, see [Using service-linked roles](https://docs.aws.amazon.com/IAM/latest/UserGuide/using-service-linked-roles.html). - ### Run the application After you run the AWS CDK script, you can run the client application by using the Amazon Cloudfront distribution URL as specified in the supplied AWS CDK instructions. From 27f8830fd9381826a09975120b716757a5f2c79a Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 12:52:43 -0400 Subject: [PATCH 11/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index af6ff860481..9f0d368dc2a 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -4,7 +4,7 @@ | Heading | Description | | ----------- | ----------- | -| Description | Discusses how to develop a Feedback Sentiment Analyzer application that lets users manage comment cards. This application is developed by using the AWS SDK for Java (v2). | +| Description | Discusses how to develop a Feedback Sentiment Analyzer application that lets users manage comment cards. That is, the application solves a fictitious use case of a hotel in New York City that receives guest feedback on comment cards in a variety of languages. This application is developed by using the AWS SDK for Java (v2). | | Audience | Developer (intermediate / advanced) | | Updated | 9/01/2023 | | Required skills | Java, Maven | From 5555cba9463f4010c2497fb6784d1f1e83215774 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 13:08:46 -0400 Subject: [PATCH 12/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 9f0d368dc2a..ec95cc2d914 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -25,13 +25,10 @@ Amazon API Gateway retrieves the metadata from Amazon DynamoDB As displayed in this illustration, the FSA application uses the following AWS services: -* Amazon Rekognition -* Amazon DynamoDB -* Amazon S3 -* Amazon SNS -* AWS Lambda -* Amazon Cognito -* Amazon API Gateway +* Extract text using Amazon Textract +* Detect sentiment using Amazon Comprehend +* Translate to English using Amazon Translate +* Synthesize to human-like speech using Amazon Polly #### Topics From 29046a888fd9c2367ac52b6731d8dba62c3bdf34 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 13:22:14 -0400 Subject: [PATCH 13/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index ec95cc2d914..4c7d85623c2 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -33,7 +33,7 @@ As displayed in this illustration, the FSA application uses the following AWS se #### Topics + Prerequisites -+ Understand the photo asset management application ++ Understand the feedback sentiment analyzer application + Create an IntelliJ project + Add the POM dependencies to your project + Create the Java classes @@ -60,7 +60,7 @@ To complete the tutorial, you need the following: The required AWS resources are created by using an AWS Cloud Development Kit (AWS CDK) script. This is discussed later in the document. There is no need to create any resources by using the AWS Management Console. -## Understand the Feedback Sentiment Analyzer application +## Understand the feedback sentiment analyzer application The front end of the FSA application is a React application that uses the [Cloudscape Design System](https://cloudscape.design/). The application supports uploading images that contains text to an S3 bucket. The text represents comments made by a customer in various languages such as French. From 48254c537b3ca451f7a1160678463e7a9c30e395 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 13:36:01 -0400 Subject: [PATCH 14/21] update the Readme --- javav2/usecases/creating_fsa_app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 4c7d85623c2..46f9f35db76 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -4,7 +4,7 @@ | Heading | Description | | ----------- | ----------- | -| Description | Discusses how to develop a Feedback Sentiment Analyzer application that lets users manage comment cards. That is, the application solves a fictitious use case of a hotel in New York City that receives guest feedback on comment cards in a variety of languages. This application is developed by using the AWS SDK for Java (v2). | +| Description | Discusses how to develop a Feedback Sentiment Analyzer application using [Machine Learning Services](https://aws.amazon.com/machine-learning/) that lets users manage comment cards. That is, the application solves a fictitious use case of a hotel in New York City that receives guest feedback on comment cards in a variety of languages. This application is developed by using the AWS SDK for Java (v2). | | Audience | Developer (intermediate / advanced) | | Updated | 9/01/2023 | | Required skills | Java, Maven | From c66f968acb74c0e7b5bdcaab937a917d399986c2 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 15:43:57 -0400 Subject: [PATCH 15/21] add java files --- javav2/usecases/creating_fsa_app/pom.xml | 218 ++++++++++++++++++ .../example/fsa/FSAApplicationResources.java | 11 + .../java/com/example/fsa/ModifyLambda.java | 65 ++++++ .../example/fsa/handlers/PollyHanlder.java | 85 +++++++ .../com/example/fsa/handlers/S3Handler.java | 27 +++ .../fsa/handlers/SentimentHandler.java | 39 ++++ .../fsa/handlers/TranslateHandler.java | 48 ++++ .../fsa/services/DetectSentimentService.java | 68 ++++++ .../fsa/services/ExtractTextService.java | 53 +++++ .../example/fsa/services/PollyService.java | 44 ++++ .../com/example/fsa/services/S3Service.java | 47 ++++ .../fsa/services/TranslateService.java | 29 +++ .../src/test/java/FSATests.java | 49 ++++ 13 files changed, 783 insertions(+) create mode 100644 javav2/usecases/creating_fsa_app/pom.xml create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/FSAApplicationResources.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/PollyHanlder.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/S3Handler.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/SentimentHandler.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/TranslateHandler.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/DetectSentimentService.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/ExtractTextService.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/PollyService.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/S3Service.java create mode 100644 javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/TranslateService.java create mode 100644 javav2/usecases/creating_fsa_app/src/test/java/FSATests.java diff --git a/javav2/usecases/creating_fsa_app/pom.xml b/javav2/usecases/creating_fsa_app/pom.xml new file mode 100644 index 00000000000..1d1feff875f --- /dev/null +++ b/javav2/usecases/creating_fsa_app/pom.xml @@ -0,0 +1,218 @@ + + + 4.0.0 + org.example + creating_fsa_app + 1.0-SNAPSHOT + + 17 + 17 + UTF-8 + + + + + software.amazon.awssdk + bom + 2.20.45 + pom + import + + + org.apache.logging.log4j + log4j-bom + 2.19.0 + pom + import + + + + + + software.amazon.awssdk + dynamodb + + + commons-logging + commons-logging + 1.2 + + + com.fasterxml.jackson.core + jackson-databind + 2.12.5 + + + software.amazon.awssdk + dynamodb-enhanced + + + software.amazon.awssdk + apache-client + + + commons-logging + commons-logging + + + + + org.apache.logging.log4j + log4j-core + + + org.apache.logging.log4j + log4j-api + + + org.apache.logging.log4j + log4j-slf4j2-impl + + + org.apache.logging.log4j + log4j-1.2-api + + + software.amazon.awssdk + ses + + + software.amazon.awssdk + rekognition + + + com.amazonaws + aws-lambda-java-events + 3.11.1 + + + software.amazon.awssdk + s3 + + + software.amazon.awssdk + textract + + + software.amazon.awssdk + s3control + + + com.amazonaws + aws-lambda-java-core + 1.2.2 + + + software.amazon.awssdk + translate + + + software.amazon.awssdk + comprehend + + + org.json + json + 20230227 + + + software.amazon.awssdk + polly + + + software.amazon.awssdk + dynamodb + + + software.amazon.awssdk + dynamodb-enhanced + + + software.amazon.awssdk + sns + + + org.apache.maven.surefire + surefire-booter + 3.0.0-M3 + + + software.amazon.awssdk + lambda + + + com.google.code.gson + gson + 2.10.1 + + + commons-io + commons-io + 2.5 + + + org.junit.jupiter + junit-jupiter-engine + 5.9.0 + test + + + com.googlecode.json-simple + json-simple + 1.1 + + + org.junit.jupiter + junit-jupiter-api + 5.9.0 + test + + + + + + maven-surefire-plugin + 2.22.2 + + + org.apache.maven.plugins + maven-checkstyle-plugin + 3.1.2 + + checkstyle.xml + UTF-8 + true + true + false + + + + validate + validate + + check + + + + + + org.apache.maven.plugins + maven-shade-plugin + 3.3.0 + + false + + + + package + + shade + + + + + + + \ No newline at end of file diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/FSAApplicationResources.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/FSAApplicationResources.java new file mode 100644 index 00000000000..ad53fd7e4dd --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/FSAApplicationResources.java @@ -0,0 +1,11 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa; + +public class FSAApplicationResources { + + public static final String STORAGE_BUCKET = "fsa-scmacdon-javascript-mediabucket8240391c-1wba4q2k3xco9"; +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java new file mode 100644 index 00000000000..4a34fddd829 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java @@ -0,0 +1,65 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa; + +import software.amazon.awssdk.core.waiters.WaiterResponse; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.lambda.LambdaClient; +import software.amazon.awssdk.services.lambda.model.GetFunctionConfigurationRequest; +import software.amazon.awssdk.services.lambda.model.GetFunctionConfigurationResponse; +import software.amazon.awssdk.services.lambda.model.LambdaException; +import software.amazon.awssdk.services.lambda.model.UpdateFunctionCodeRequest; +import software.amazon.awssdk.services.lambda.model.UpdateFunctionCodeResponse; +import software.amazon.awssdk.services.lambda.waiters.LambdaWaiter; + +public class ModifyLambda { + + public static void main(String[]args) { + String analyzeSentimentLambda = "fsa-scmacdon-javascript-fnAnalyzeSentimentCEDFFDBD-wd0RnOdSxMsv" ; + String synthesizeAudioLambda = "fsa-scmacdon-javascript-fnSynthesizeAudio134971D4-x8Q5178Y4ZBH" ; + String extractTextLambda = "fsa-scmacdon-javascript-fnExtractText98FC28B4-NRiFEZmyPPlo" ; + String translateTextLambda = "fsa-scmacdon-javascript-fnAnalyzeSentimentCEDFFDBD-wd0RnOdSxMsv" ; + String bucketName = FSAApplicationResources.STORAGE_BUCKET; + String key = "creating_fsa_app-1.0-SNAPSHOT.jar"; + + Region region = Region.US_EAST_1; + LambdaClient awsLambda = LambdaClient.builder() + .region(region) + .build(); + + // Update all four Lambda functions. + updateFunctionCode(awsLambda, analyzeSentimentLambda, bucketName, key); + updateFunctionCode(awsLambda, synthesizeAudioLambda, bucketName, key); + updateFunctionCode(awsLambda, extractTextLambda, bucketName, key); + updateFunctionCode(awsLambda, translateTextLambda, bucketName, key); + System.out.println("You have successfully updated the AWS Lambda functions"); + } + + public static void updateFunctionCode(LambdaClient awsLambda, String functionName, String bucketName, String key) { + try { + LambdaWaiter waiter = awsLambda.waiter(); + UpdateFunctionCodeRequest functionCodeRequest = UpdateFunctionCodeRequest.builder() + .functionName(functionName) + .publish(true) + .s3Bucket(bucketName) + .s3Key(key) + .build(); + + UpdateFunctionCodeResponse response = awsLambda.updateFunctionCode(functionCodeRequest) ; + GetFunctionConfigurationRequest getFunctionConfigRequest = GetFunctionConfigurationRequest.builder() + .functionName(functionName) + .build(); + + WaiterResponse waiterResponse = waiter.waitUntilFunctionUpdated(getFunctionConfigRequest); + waiterResponse.matched().response().ifPresent(System.out::println); + System.out.println("The last modified value is " +response.lastModified()); + + } catch(LambdaException e) { + System.err.println(e.getMessage()); + System.exit(1); + } + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/PollyHanlder.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/PollyHanlder.java new file mode 100644 index 00000000000..158f862be0f --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/PollyHanlder.java @@ -0,0 +1,85 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.PollyService; +import com.example.fsa.services.S3Service; +import java.io.IOException; +import java.io.InputStream; +import java.util.regex.Matcher; +import java.util.regex.Pattern; +import java.util.Map; + +public class PollyHanlder implements RequestHandler, String> { + @Override + public String handleRequest(Map requestObject, Context context) { + S3Service s3Service = new S3Service(); + PollyService pollyService = new PollyService(); + String myValues = requestObject.toString(); + context.getLogger().log("*** ALL values: " +myValues); + String translatedText = getTranslatedText(myValues); + String key = getKeyName(myValues); + String newFileName = convertFileEx(key); + context.getLogger().log("*** Translated Text: " +translatedText +" and new key is "+newFileName); + try { + InputStream is = pollyService.synthesize(translatedText); + String audioFile = s3Service.putAudio(is, newFileName); + context.getLogger().log("You have successfully added the " +audioFile +" in the S3 bucket"); + return audioFile ; + } catch (IOException e) { + throw new RuntimeException(e); + } + } + + // This method extracts the value following translated_text using Reg Exps. + private String getTranslatedText(String myString) { + // Define the regular expression pattern to match key-value pair. + Pattern pattern = Pattern.compile("translated_text\\s*=\\s*([^,}]*)"); + Matcher matcher = pattern.matcher(myString); + + String extractedValue = null; + if (matcher.find()) { + // Find the second occurrence. + if (matcher.find()) { + extractedValue = matcher.group(1); + } + } + + if (extractedValue != null) { + return extractedValue; + } + return ""; + } + + // This method extracts the key using Reg Exps. + private static String getKeyName(String input) { + String pattern = "object=([^,}]+)"; + Pattern r = Pattern.compile(pattern); + Matcher m = r.matcher(input); + + if (m.find()) { + System.out.println("Found value: " + m.group(1)); + return m.group(1); + } + return ""; + } + + // Replaces the file extension to mp3. + public static String convertFileEx(String originalFileName) { + String newExtension = "mp3"; + + // Get the index of the last dot (.) in the filename. + int lastIndex = originalFileName.lastIndexOf("."); + if (lastIndex > 0) { + // Extract the file name without extension. + String fileNameWithoutExtension = originalFileName.substring(0, lastIndex); + return fileNameWithoutExtension + "." + newExtension; + } + return ""; + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/S3Handler.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/S3Handler.java new file mode 100644 index 00000000000..d9dd8746eba --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/S3Handler.java @@ -0,0 +1,27 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.FSAApplicationResources; +import com.example.fsa.services.ExtractTextService; +import java.util.Map; + +public class S3Handler implements RequestHandler, String>{ + + @Override + public String handleRequest(Map requestObject, Context context) { + // Get the Amazon Simple Storage Service (Amazon S3) bucket and object key from the Amazon S3 event. + ExtractTextService textService = new ExtractTextService(); + String bucket = (String) requestObject.getOrDefault("bucket", ""); + String fileName = (String) requestObject.getOrDefault("object", ""); + context.getLogger().log("*** Bucket: " + bucket + ", fileName: " + fileName); + String myText = textService.getCardText(FSAApplicationResources.STORAGE_BUCKET, fileName); + context.getLogger().log("*** Text: " + myText); + return myText; + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/SentimentHandler.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/SentimentHandler.java new file mode 100644 index 00000000000..3012c0896c2 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/SentimentHandler.java @@ -0,0 +1,39 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.DetectSentimentService; +import org.json.simple.JSONObject; +import java.util.Map; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +public class SentimentHandler implements RequestHandler, JSONObject> { + + @Override + public JSONObject handleRequest(Map requestObject, Context context) { + // Log the entire JSON input. + String inputString = requestObject.toString(); + context.getLogger().log("Received JSON: " + inputString); + String value = extractValueFromRequestObject(inputString); + context.getLogger().log("Extracted text: " + value); + DetectSentimentService detectSentimentService = new DetectSentimentService(); + JSONObject jsonOb = detectSentimentService.detectSentiments(value); + context.getLogger().log("NEW JSON: " + jsonOb.toJSONString()); + return jsonOb; + } + + private static String extractValueFromRequestObject(String inputString) { + Matcher matcher = Pattern.compile("source_text=([^,}]+)").matcher(inputString); + if (matcher.find()) { + return matcher.group(1); + } + return ""; + } +} + diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/TranslateHandler.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/TranslateHandler.java new file mode 100644 index 00000000000..1d86f351421 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/handlers/TranslateHandler.java @@ -0,0 +1,48 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.handlers; + +import com.amazonaws.services.lambda.runtime.Context; +import com.amazonaws.services.lambda.runtime.RequestHandler; +import com.example.fsa.services.DetectSentimentService; +import com.example.fsa.services.TranslateService; +import org.json.simple.JSONObject; +import java.util.Map; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +public class TranslateHandler implements RequestHandler, JSONObject> { + + @Override + public JSONObject handleRequest(Map requestObject, Context context) { + TranslateService translateService = new TranslateService(); + String preValStr = requestObject.toString(); + context.getLogger().log("Pre Value: " + preValStr); + String sourceText = getTranslatedText(preValStr); + context.getLogger().log("NEW Value: " + sourceText); + + // We have the source text - need to figure out what language its in. + DetectSentimentService sentimentService = new DetectSentimentService(); + String lanCode = sentimentService.detectTheDominantLanguage(sourceText); + String translatedText; + translatedText = translateService.translateText(lanCode, sourceText); + context.getLogger().log("Translated text : " + translatedText); + JSONObject jsonResponse = new JSONObject(); + jsonResponse.put("translated_text", translatedText); + return jsonResponse; + } + + private String getTranslatedText(String myString) { + String extractedValue; + Pattern pattern = Pattern.compile("extracted_text\\s*=\\s*([^,}]*)"); + Matcher matcher = pattern.matcher(myString); + if (matcher.find()) { + extractedValue = matcher.group(1); + return extractedValue; + } + return ""; + } +} \ No newline at end of file diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/DetectSentimentService.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/DetectSentimentService.java new file mode 100644 index 00000000000..9aafe9aad16 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/DetectSentimentService.java @@ -0,0 +1,68 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.services; +import org.json.simple.JSONObject; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.comprehend.ComprehendClient; +import software.amazon.awssdk.services.comprehend.model.ComprehendException; +import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageRequest; +import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageResponse; +import software.amazon.awssdk.services.comprehend.model.DetectSentimentRequest; +import software.amazon.awssdk.services.comprehend.model.DetectSentimentResponse; +import software.amazon.awssdk.services.comprehend.model.DominantLanguage; +import java.util.List; + +public class DetectSentimentService { + + private ComprehendClient getClient() { + return ComprehendClient.builder() + .region(Region.US_EAST_1) + .build(); + } + + public JSONObject detectSentiments(String text){ + try { + String languageCode = detectTheDominantLanguage(text); + DetectSentimentRequest detectSentimentRequest = DetectSentimentRequest.builder() + .text(text) + .languageCode(languageCode) + .build(); + + DetectSentimentResponse detectSentimentResult = getClient().detectSentiment(detectSentimentRequest); + JSONObject jsonObject = new JSONObject(); + jsonObject.put("sentiment", detectSentimentResult.sentimentAsString()); + jsonObject.put("language_code", languageCode); + return jsonObject; + + } catch (ComprehendException e) { + System.err.println(e.awsErrorDetails().errorMessage()); + System.exit(1); + } + return null; + } + + public String detectTheDominantLanguage(String text){ + try { + DetectDominantLanguageRequest request = DetectDominantLanguageRequest.builder() + .text(text) + .build(); + + String lanCode =""; + DetectDominantLanguageResponse resp = getClient().detectDominantLanguage(request); + List allLanList = resp.languages(); + for (DominantLanguage lang : allLanList) { + System.out.println("Language is " + lang.languageCode()); + lanCode = lang.languageCode(); + } + return lanCode; + + } catch (ComprehendException e) { + System.err.println(e.awsErrorDetails().errorMessage()); + System.exit(1); + } + return ""; + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/ExtractTextService.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/ExtractTextService.java new file mode 100644 index 00000000000..35483020245 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/ExtractTextService.java @@ -0,0 +1,53 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.textract.model.BlockType; +import software.amazon.awssdk.services.textract.model.Document; +import software.amazon.awssdk.services.textract.model.DetectDocumentTextRequest; +import software.amazon.awssdk.services.textract.model.DetectDocumentTextResponse; +import software.amazon.awssdk.services.textract.model.Block; +import software.amazon.awssdk.services.textract.TextractClient; +import software.amazon.awssdk.services.textract.model.S3Object; + +public class ExtractTextService { + + public String getCardText(String bucketName, String obName) { + Region region = Region.US_EAST_1; + TextractClient textractClient = TextractClient.builder() + .region(region) + .build(); + + S3Object s3Object = S3Object.builder() + .bucket(bucketName) + .name(obName) + .build(); + + // Create a Document object and reference the s3Object instance. + Document myDoc = Document.builder() + .s3Object(s3Object) + .build(); + + DetectDocumentTextRequest detectDocumentTextRequest = DetectDocumentTextRequest.builder() + .document(myDoc) + .build(); + + // Use StringBuilder to build the complete text. + StringBuilder completeText = new StringBuilder(); + DetectDocumentTextResponse textResponse = textractClient.detectDocumentText(detectDocumentTextRequest); + for (Block block : textResponse.blocks()) { + if (block.blockType() == BlockType.WORD) { + if (completeText.length() == 0) { + completeText.append(block.text()); + } else { + completeText.append(" ").append(block.text()); + } + } + } + return completeText.toString(); + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/PollyService.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/PollyService.java new file mode 100644 index 00000000000..5bf5667e977 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/PollyService.java @@ -0,0 +1,44 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.polly.PollyClient; +import software.amazon.awssdk.services.polly.model.DescribeVoicesRequest; +import software.amazon.awssdk.services.polly.model.SynthesizeSpeechRequest; +import software.amazon.awssdk.services.polly.model.Voice; +import software.amazon.awssdk.services.polly.model.DescribeVoicesResponse; +import software.amazon.awssdk.services.polly.model.OutputFormat; +import java.io.IOException; +import java.io.InputStream; + + +public class PollyService { + + public InputStream synthesize(String text) throws IOException { + PollyClient polly = PollyClient.builder() + .region(Region.US_EAST_1) + .build(); + + DescribeVoicesRequest describeVoiceRequest = DescribeVoicesRequest.builder() + .engine("neural") + .build(); + + DescribeVoicesResponse describeVoicesResult = polly.describeVoices(describeVoiceRequest); + Voice voice = describeVoicesResult.voices().stream() + .filter(v -> v.name().equals("Joanna")) + .findFirst() + .orElseThrow(() -> new RuntimeException("Voice not found")); + + SynthesizeSpeechRequest synthReq = SynthesizeSpeechRequest.builder() + .text(text) + .outputFormat(OutputFormat.MP3) + .voiceId(voice.id()) + .build(); + + return polly.synthesizeSpeech(synthReq); + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/S3Service.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/S3Service.java new file mode 100644 index 00000000000..326711cb730 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/S3Service.java @@ -0,0 +1,47 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.services; + +import com.example.fsa.FSAApplicationResources; +import software.amazon.awssdk.core.sync.RequestBody; +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.s3.S3Client; +import software.amazon.awssdk.services.s3.model.PutObjectRequest; +import java.io.ByteArrayOutputStream; +import java.io.IOException; +import java.io.InputStream; + +public class S3Service { + + // Put the audio file into the Amazon S3 bucket. + public String putAudio(InputStream is, String key) throws IOException { + S3Client s3 = S3Client.builder() + .region(Region.US_EAST_1) + .build(); + + PutObjectRequest putOb = PutObjectRequest.builder() + .bucket(FSAApplicationResources.STORAGE_BUCKET) + .contentType("audio/mp3") + .key(key) + .build(); + + s3.putObject(putOb, RequestBody.fromBytes(inputStreamToBytes(is))); + return key; + } + + public static byte[] inputStreamToBytes(InputStream inputStream) throws IOException { + ByteArrayOutputStream buffer = new ByteArrayOutputStream(); + byte[] data = new byte[1024]; + int nRead; + + while ((nRead = inputStream.read(data, 0, data.length)) != -1) { + buffer.write(data, 0, nRead); + } + + buffer.flush(); + return buffer.toByteArray(); + } +} diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/TranslateService.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/TranslateService.java new file mode 100644 index 00000000000..ccf8cf5c1d5 --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/services/TranslateService.java @@ -0,0 +1,29 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ + +package com.example.fsa.services; + +import software.amazon.awssdk.regions.Region; +import software.amazon.awssdk.services.translate.TranslateClient; +import software.amazon.awssdk.services.translate.model.TranslateTextRequest; +import software.amazon.awssdk.services.translate.model.TranslateTextResponse; + +public class TranslateService { + + public String translateText(String lanCode, String text) { + TranslateClient translateClient = TranslateClient.builder() + .region(Region.US_EAST_1) + .build(); + + TranslateTextRequest textRequest = TranslateTextRequest.builder() + .sourceLanguageCode(lanCode) + .targetLanguageCode("en") + .text(text) + .build(); + + TranslateTextResponse textResponse = translateClient.translateText(textRequest); + return textResponse.translatedText(); + } +} diff --git a/javav2/usecases/creating_fsa_app/src/test/java/FSATests.java b/javav2/usecases/creating_fsa_app/src/test/java/FSATests.java new file mode 100644 index 00000000000..fece1fe5f7b --- /dev/null +++ b/javav2/usecases/creating_fsa_app/src/test/java/FSATests.java @@ -0,0 +1,49 @@ +/* + Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + SPDX-License-Identifier: Apache-2.0 +*/ +import com.example.fsa.FSAApplicationResources; +import com.example.fsa.services.DetectSentimentService; +import com.example.fsa.services.ExtractTextService; +import com.example.fsa.services.PollyService; +import com.example.fsa.services.S3Service; +import com.example.fsa.services.TranslateService; +import org.json.simple.JSONObject; +import org.json.simple.parser.JSONParser; +import org.junit.jupiter.api.MethodOrderer; +import org.junit.jupiter.api.Order; +import org.junit.jupiter.api.Tag; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.TestInstance; +import org.junit.jupiter.api.TestMethodOrder; +import java.io.IOException; +import java.io.InputStream; + +@TestInstance(TestInstance.Lifecycle.PER_METHOD) +@TestMethodOrder(MethodOrderer.OrderAnnotation.class) +public class FSATests { + + @Test + @Tag("IntegrationTest") + @Order(1) + public void testFSA() throws IOException { + ExtractTextService textService = new ExtractTextService(); + TranslateService translateService = new TranslateService(); + PollyService pollyService = new PollyService(); + S3Service s3Service = new S3Service(); + JSONParser parser = new JSONParser(); + DetectSentimentService sentimentService = new DetectSentimentService(); + + + DetectSentimentService detectSentimentService = new DetectSentimentService(); + String text = textService.getCardText(FSAApplicationResources.STORAGE_BUCKET, "french6.png"); + detectSentimentService.detectSentiments(text); + String lanCode = sentimentService.detectTheDominantLanguage(text); + String translatedText = translateService.translateText(lanCode, text); + System.out.println(translatedText); + InputStream is = pollyService.synthesize(translatedText); + String audioFile = s3Service.putAudio(is, "french3.png"); + System.out.println("You have successfully added the FSA audio file in the S3 bucket"); + System.out.println("You have successfully converted the comment card!"); + } +} From cff1bbca474af2fd162a2c7c9338a6cbb1a84cdf Mon Sep 17 00:00:00 2001 From: scmacdon Date: Thu, 31 Aug 2023 15:52:17 -0400 Subject: [PATCH 16/21] add java files --- .../src/main/java/com/example/fsa/ModifyLambda.java | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java index 4a34fddd829..6e398612254 100644 --- a/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java +++ b/javav2/usecases/creating_fsa_app/src/main/java/com/example/fsa/ModifyLambda.java @@ -18,12 +18,12 @@ public class ModifyLambda { public static void main(String[]args) { - String analyzeSentimentLambda = "fsa-scmacdon-javascript-fnAnalyzeSentimentCEDFFDBD-wd0RnOdSxMsv" ; - String synthesizeAudioLambda = "fsa-scmacdon-javascript-fnSynthesizeAudio134971D4-x8Q5178Y4ZBH" ; - String extractTextLambda = "fsa-scmacdon-javascript-fnExtractText98FC28B4-NRiFEZmyPPlo" ; - String translateTextLambda = "fsa-scmacdon-javascript-fnAnalyzeSentimentCEDFFDBD-wd0RnOdSxMsv" ; + String analyzeSentimentLambda = "" ; + String synthesizeAudioLambda = "" ; + String extractTextLambda = "" ; + String translateTextLambda = "" ; String bucketName = FSAApplicationResources.STORAGE_BUCKET; - String key = "creating_fsa_app-1.0-SNAPSHOT.jar"; + String key = ""; Region region = Region.US_EAST_1; LambdaClient awsLambda = LambdaClient.builder() From 3a95e316438383607e3e5c0fcc5fda32ad3d83ef Mon Sep 17 00:00:00 2001 From: scmacdon Date: Fri, 1 Sep 2023 08:42:12 -0400 Subject: [PATCH 17/21] add sos --- .../cross-content/cross_FSA_Java_block.xml | 33 +++++++++++++++++++ .doc_gen/metadata/cross_metadata.yaml | 4 +++ 2 files changed, 37 insertions(+) create mode 100644 .doc_gen/cross-content/cross_FSA_Java_block.xml diff --git a/.doc_gen/cross-content/cross_FSA_Java_block.xml b/.doc_gen/cross-content/cross_FSA_Java_block.xml new file mode 100644 index 00000000000..cb7d579c8bc --- /dev/null +++ b/.doc_gen/cross-content/cross_FSA_Java_block.xml @@ -0,0 +1,33 @@ + + + %phrases-shared; +]> + + + This example application analyzes and stores customer feedback cards using the AWS SDK for Java v2. Specifically, + it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback + from guests in various languages in the form of physical comment cards. That feedback + is uploaded into the app through a web client. + + After an image of a comment card is uploaded, the following steps occur: + + + + Text is extracted from the image using &TEXTRACT;. + + + &CMP; determines the sentiment of the extracted text and its language. + + + The extracted text is translated to French using &TSL;. + + + &POL; synthesizes an audio file from the extracted text. + + + The full app can be deployed with the &CDK;. For source code and deployment + instructions, see the project in + GitHub. + \ No newline at end of file diff --git a/.doc_gen/metadata/cross_metadata.yaml b/.doc_gen/metadata/cross_metadata.yaml index 0e04d821e50..27720efb1d8 100644 --- a/.doc_gen/metadata/cross_metadata.yaml +++ b/.doc_gen/metadata/cross_metadata.yaml @@ -6,6 +6,10 @@ cross_FSA: their original language, determines their sentiment, and generates an audio file from the translated text. languages: + Java: + versions: + - sdk_version: 3 + block_content: cross_FSA_Java_block.xml Ruby: versions: - sdk_version: 3 From 3530a6d7d02d6f8a7847b82e0c6798221bad953c Mon Sep 17 00:00:00 2001 From: scmacdon Date: Fri, 1 Sep 2023 09:00:02 -0400 Subject: [PATCH 18/21] add sos --- .doc_gen/metadata/cross_metadata.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.doc_gen/metadata/cross_metadata.yaml b/.doc_gen/metadata/cross_metadata.yaml index 27720efb1d8..e2e8bd7c520 100644 --- a/.doc_gen/metadata/cross_metadata.yaml +++ b/.doc_gen/metadata/cross_metadata.yaml @@ -8,7 +8,7 @@ cross_FSA: languages: Java: versions: - - sdk_version: 3 + - sdk_version: 2 block_content: cross_FSA_Java_block.xml Ruby: versions: From a8e9eeaf8d0fa48a910e800aae4cbc9a7761c1b0 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Fri, 1 Sep 2023 09:13:29 -0400 Subject: [PATCH 19/21] add sos --- .doc_gen/cross-content/cross_FSA_Java_block.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.doc_gen/cross-content/cross_FSA_Java_block.xml b/.doc_gen/cross-content/cross_FSA_Java_block.xml index cb7d579c8bc..be14e657e61 100644 --- a/.doc_gen/cross-content/cross_FSA_Java_block.xml +++ b/.doc_gen/cross-content/cross_FSA_Java_block.xml @@ -5,7 +5,7 @@ ]> - This example application analyzes and stores customer feedback cards using the AWS SDK for Java v2. Specifically, + This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. From 202a8816e2070bd1ea9662c0df708dbcdae7bf04 Mon Sep 17 00:00:00 2001 From: scmacdon Date: Tue, 5 Sep 2023 08:13:31 -0400 Subject: [PATCH 20/21] rolled in edits --- javav2/usecases/creating_fsa_app/README.md | 72 ++++++++++++---------- 1 file changed, 38 insertions(+), 34 deletions(-) diff --git a/javav2/usecases/creating_fsa_app/README.md b/javav2/usecases/creating_fsa_app/README.md index 46f9f35db76..b359adebe4b 100644 --- a/javav2/usecases/creating_fsa_app/README.md +++ b/javav2/usecases/creating_fsa_app/README.md @@ -1,10 +1,10 @@ -# Creating a Feedback Sentiment Analyzer application using the AWS SDK for Java +# Creating a Feedback Sentiment Analyzer application using the SDK for Java ## Overview | Heading | Description | | ----------- | ----------- | -| Description | Discusses how to develop a Feedback Sentiment Analyzer application using [Machine Learning Services](https://aws.amazon.com/machine-learning/) that lets users manage comment cards. That is, the application solves a fictitious use case of a hotel in New York City that receives guest feedback on comment cards in a variety of languages. This application is developed by using the AWS SDK for Java (v2). | +| Description | Discusses how to develop a Feedback Sentiment Analyzer application using [Machine Learning AWS services](https://aws.amazon.com/machine-learning/). The application solves a fictitious use case of a hotel that receives guest feedback on comment cards in a variety of languages. The application is developed by using the AWS SDK for Java (v2). | | Audience | Developer (intermediate / advanced) | | Updated | 9/01/2023 | | Required skills | Java, Maven | @@ -13,27 +13,27 @@ You can develop a sample application for a Feedback Sentiment Analyzer (FSA) that accomplishes the following tasks: -1. Host the static website assets within an Amazon S3 bucket, and utilize Amazon CloudFront for their distribution. -2. Implement authenticated access to Amazon API Gateway through Amazon Cognito. -3. Configure Amazon API Gateway to deposit items into an Amazon S3 bucket, subsequently triggering an EventBridge rule that initiates a Step Functions workflow. +1. Hosts static website assets in an Amazon Simple Storage Service (Amazon S3) bucket, and uses an Amazon CloudFront distribution to serve the website. +2. Implements authenticated access to Amazon API Gateway through Amazon Cognito. +3. Configures Amazon API Gateway to deposit items into an S3 bucket, subsequently triggering an Amazon EventBridge rule that initiates an AWS Step Functions workflow. 4. The Step Functions workflow leverages AWS Lambda, Amazon Textract, Amazon Comprehend, Amazon Translate, and Amazon Polly to execute the core business logic. -5. Metadata gets stored within Amazon DynamoDB, while audio files are stored within the same Amazon S3 bucket referenced in step 3. -Amazon API Gateway retrieves the metadata from Amazon DynamoDB +5. Metadata gets stored within Amazon DynamoDB, while audio files are stored in the same S3 bucket referenced in step 3. +6. Amazon API Gateway retrieves the metadata from Amazon DynamoDB. ![AWS Photo Analyzer](images/overview.png) -As displayed in this illustration, the FSA application uses the following AWS services: +As displayed in the preceding illustration, the FSA application uses the following AWS services: -* Extract text using Amazon Textract -* Detect sentiment using Amazon Comprehend -* Translate to English using Amazon Translate -* Synthesize to human-like speech using Amazon Polly +* Amazon Textract - Extracts text +* Amazon Comprehend - Detects sentiment +* Amazon Translate - Translates to English +* Amazon Polly - Synthesizes to human-like speech #### Topics + Prerequisites -+ Understand the feedback sentiment analyzer application ++ Understand the Feedback Sentiment Analyzer application + Create an IntelliJ project + Add the POM dependencies to your project + Create the Java classes @@ -56,13 +56,13 @@ To complete the tutorial, you need the following: + Be sure to delete all of the resources you create while going through this tutorial so that you won't be charged. + Also make sure to properly set up your development environment. For information, see [Setting up the AWS SDK for Java 2.x](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/setup.html). -### Creating the resources +### Resource creation The required AWS resources are created by using an AWS Cloud Development Kit (AWS CDK) script. This is discussed later in the document. There is no need to create any resources by using the AWS Management Console. -## Understand the feedback sentiment analyzer application +## Understand the Feedback Sentiment Analyzer application -The front end of the FSA application is a React application that uses the [Cloudscape Design System](https://cloudscape.design/). The application supports uploading images that contains text to an S3 bucket. The text represents comments made by a customer in various languages such as French. +The front end of the FSA application is a React application that uses the [Cloudscape Design System](https://cloudscape.design/). The application supports uploading images that contain text to an S3 bucket. The text represents comments made by a customer in various languages, such as French. After a user authenticates by using Amazon Cognito, the application displays all uploaded images, the translated text, and a button that lets the user hear the audio (which was created by using Amazon Polly). @@ -83,13 +83,13 @@ The following descibes each step in the workflow. - **SynthesizeAudio** - Converts the English text into an MP3 audio file and places the audio file into an S3 bucket. - **PutPositiveComment** - Places the data into an Amazon DynamoDB table. -**Note**: The client React application does not display any data until the workflow successfully completes and data is stored in the S3 bucket and Amazon DynamoDB table. +**Note**: The client React application does not display any data until the workflow successfully completes and data is stored in the S3 bucket and DynamoDB table. The following illustration shows the Amazon DynamoDB table storing the values. ![AWS Photo Analyzer](images/dbtable.png) -**Note**: This Amazon DynamoDB table is created when you run the AWS CDK script to set up the resources. This is discussed later in this document. +**Note**: This DynamoDB table is created when you run the AWS CDK script to set up the resources. This is discussed later in this document. ### Understand the AWS resources used by the FSA application @@ -97,14 +97,14 @@ This section describes the AWS resources that the FSA application uses. You do n #### AWS Lambda functions -The backend of the FSA application is implemented by using these AWS Lambda functions created by using the AWS SDK for Java v2: +The backend of the FSA application is implemented by using these AWS Lambda functions created by using the AWS SDK for Java (v2): -- **ExtractText** - The Lambda function used in the **ExtractText** step. -- **AnalyzeSentiment** - The Lambda function used in the **AnalyzeSentiment** step. -- **TranslateText** - The Lambda function used in the **TranslateText** step. -- **fnSynthesizeAudio** - The Lambda function used in the **SynthesizeAudio** step. +- **ExtractText** +- **AnalyzeSentiment** +- **TranslateText** +- **fnSynthesizeAudio** -**Note**: These AWS Lambda names are short names. The full names that appear in the AWS Management Console depend on how you configure the provided AWS CDK script. Full names appear as NAME}{Function Name}. For example, **fsa-scmacdon-javascript-fnSynthesizeAudio134971D4-x8Q5178Y4ZBH**. +**Note**: These AWS Lambda names are short names. The full names that appear in the AWS Management Console depend on how you configure the provided AWS CDK script. Full names appear as {NAME}{Function Name}. For example, **fsa-scmacdon-javascript-fnSynthesizeAudio134971D4-x8Q5178Y4ZBH**. ## Create an IntelliJ project @@ -503,7 +503,7 @@ public class TranslateHandler implements RequestHandler, JS String sourceText = getTranslatedText(preValStr); context.getLogger().log("NEW Value: " + sourceText); - // We have the source text - need to figure out what language its in. + // We have the source text - need to figure out what language it's in. DetectSentimentService sentimentService = new DetectSentimentService(); String lanCode = sentimentService.detectTheDominantLanguage(sourceText); String translatedText; @@ -533,9 +533,9 @@ Create these Java classes in the **com.example.fsa.services** package. These Jav + **DetectSentimentService** - Uses the **ComprehendClient** to detect the sentimant of text. + **ExtractTextService** - Uses the **TextractClient** to extract text from an image located in an S3 bucket. -+ **PollyService** - Uses the **PollyClient** to convert text into an mp3 audio file. ++ **PollyService** - Uses the **PollyClient** to convert text into an MP3 audio file. + **S3Service** - Uses the **S3Client** to place an audio file into an S3 bucket. -+ **TranslateService** - Uses the **TranslateClient** to translate text into english. ++ **TranslateService** - Uses the **TranslateClient** to translate text into English. ### DetectSentimentService class @@ -877,7 +877,9 @@ public class ModifyLambda { ## Deploy the AWS resources -At this point, you have completed all of the application Java business logic required for the FSA application to work. Now you need to deploy the AWS resources, including the AWS Lambda functions and API Gateway endpoints in order for the application to work. Instead of deploying all of the resources manually by using the AWS Management Console, you can use a provided AWS CDK script. Using the CDK script makes it more efficient to deploy the resources. +At this point, you have completed all of the application Java business logic required for the FSA application to work. Now you need to deploy the AWS resources, including the AWS Lambda functions and API Gateway endpoints. + +Instead of deploying all of the resources manually by using the AWS Management Console, you can use a provided AWS CDK script. The script makes it more efficient to deploy the resources. **Note**: For information about the AWS CDK, see [What is the AWS CDK](https://docs.aws.amazon.com/cdk/v2/guide/home.html). @@ -891,18 +893,20 @@ After you execute the AWS CDK script, the Lambda functions are created. However, 2. Create the FAT JAR by running **mvn package**. The JAR file can be located in the target folder. -3. Use the AWS Management Console to place the FAT JAR into the Amazon S3 bucket named **STORAGE_BUCKET**. (This was created by the AWS CDK script.) +3. Sign in to the AWS Management Console for Amazon S3 and put the FAT JAR in the S3 bucket named **STORAGE_BUCKET**. (This bucket was created by the AWS CDK script.) + +4. Run the **ModifyLambda** Java class. Make sure to specify the exact AWS Lambda names, which you can view in the Lambda console. Otherwise, the code does not work. When done, you see a message that the Lambda functions have been updated with the FAT JAR. -4. Run the **ModifyLambda** Java class. Make sure to specify the exact AWS Lambda names, which are provided in the AWS Lambda console. Otherwise, the code does not work. When done, you see a message that the AWS Lambda functions have been updated with the FAT JAR. +### Update permissions for the Lambda roles -### Update the permission that the Lambda roles use +Each Lambda function has a role used to invoke the Lambda function. For example, the **fnAnalyzeSentiment** function has the following role. -Each Lambda function has a role used to invoke the Lambda function. For example, the **fnAnalyzeSentiment** function has this role. +**fsa-scmacdon-javascript-fnAnalyzeSentimentServiceR-14R5C2CE32WCM ** -![AWS Photo Analyzer](images/role.png) +**Note**: The exact name of the role depends on how you configured the AWS CDK script. -You need to ensure each role has the correct service permission in order to invoke the corresponding AWS Service. If you do not modify the role's permission that each Lambda function uses, then you will encounter a permission error. +Make sure each role has the correct service permission to invoke the corresponding AWS service. If you do not modify the role's permission for each Lambda function, you will encounter a permission error. **Note**: For information about how to modify the a role's permission, see [Using service-linked roles](https://docs.aws.amazon.com/IAM/latest/UserGuide/using-service-linked-roles.html). From 47981a59fe41c52653e03ff4284d7e0364aff04e Mon Sep 17 00:00:00 2001 From: scmacdon Date: Tue, 5 Sep 2023 12:17:58 -0400 Subject: [PATCH 21/21] rolled in comments --- applications/feedback_sentiment_analyzer/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/applications/feedback_sentiment_analyzer/README.md b/applications/feedback_sentiment_analyzer/README.md index 04c30745163..78e0c3ae171 100644 --- a/applications/feedback_sentiment_analyzer/README.md +++ b/applications/feedback_sentiment_analyzer/README.md @@ -16,6 +16,7 @@ This application has been implemented with the following AWS SDKs. - [Ruby](../../ruby/cross_service_examples/feedback_sentiment_analyzer/README.md) - [JavaScript](../../javascriptv3/example_code/cross-services/feedback-sentiment-analyzer/README.md) +- [Java](../../javav2/usecases/creating_fsa_app/README.md) To deploy one of these implementations, follow the [Deployment instructions](#deployment-instructions).