Note: This is purely the output of the chat conversation and does not contain any raw data, codebase snippets, etc. used to generate the output.

User at 9:11 pm, Jun 27, 2024

You helped me create a SAM application that builds out some authentication resouces in my AWS account that I can use with my Vite Yarn React TUI app.

We were having some dificulty getting this SAM template to work:

# /handterm-sam/template.yaml

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: Example SAM template for HandTerm application.

Globals:
 Function:
  Timeout: 5

Resources:
 CognitoUserPool:
  Type: AWS::Cognito::UserPool
  Properties:
   UserPoolName: HandTermUserPool
   Schema:
    - Name: email
     Required: true
     Mutable: false
   Policies:
    PasswordPolicy:
     MinimumLength: 8
     RequireUppercase: true
     RequireLowercase: true
     RequireNumbers: true
     RequireSymbols: true

 CognitoUserPoolClient:
  Type: AWS::Cognito::UserPoolClient
  Properties:
   UserPoolId: !Ref CognitoUserPool
   ExplicitAuthFlows:
    - ALLOW_USER_SRP_AUTH
    - ALLOW_REFRESH_TOKEN_AUTH
   GenerateSecret: false

 HandTermIdentityPool:
  Type: AWS::Cognito::IdentityPool
  Properties:
   IdentityPoolName: HandTermIdentityPool
   AllowUnauthenticatedIdentities: false
   CognitoIdentityProviders:
    - ClientId: !Ref CognitoUserPoolClient
     ProviderName: !GetAtt CognitoUserPool.ProviderName

 HandTermHistoryBucket:
  Type: AWS::S3::Bucket
  Properties:
   BucketName: handterm-history
   PublicAccessBlockConfiguration:
    BlockPublicAcls: false
    BlockPublicPolicy: false
    IgnorePublicAcls: false
    RestrictPublicBuckets: false

 HandTermHistoryBucketPolicy:
  Type: AWS::S3::BucketPolicy
  Properties:
   Bucket: !Ref HandTermHistoryWhatsAppBucket
   PolicyDocument:
    Version: '2012-10-17'
    Statement:
     - Sid: AuthenticatedReadAccess
      Effect: Allow
      Principal:
       Federated: "cognito-identity.amazonaws.com"
      Action: "s3:GetObject"
      Resource: !Sub "arn:aws:s3:::handterm-history/*"
      Condition:
       StringEquals:
        "cognito-identity.amazonaws.com:aud": !GetAtt HandTermIdentityPool.Arn
       "ForAnyValue:StringLike":
        "cognito-identity.amazonaws.com:amr": "authenticated"

 LambdaExecutionRole:
  Type: AWS::IAM::Role
  Properties:
   AssumeRolePolicyDocument:
    Version: 2012-10-17
    Statement:
     - Effect: Allow
      Principal:
       Service:
        - lambda.amazonaws.com
        - edgelambda.amazonaws.com
      Action: sts:AssumeRole
   Policies:
    - PolicyName: LambdaS3Access
     PolicyDocument:
      Version: 2012-10-17
      Statement:
       - Effect: Allow
        Action: s3:*
        Resource: !Sub arn:aws:s3:::handterm-history/*

 LambdaAtEdgeFunction:
  Type: AWS::Serverless::Function
  Properties:
   Handler: index.handler
   Runtime: nodejs20.x
   CodeUri: http-only-cookies
   Description: A Lambda@Edge function for HttpOnly Cookies
   MemorySize: 128
   Role: !GetAtt LambdaExecutionRole.Arn
   # Note: Lambda@Edge does not support the usual Events property for triggering
   # You will need to manually attach this function to a CloudFront distribution

Outputs:
 UserPoolId:
  Value: !Ref CognitoUserPool
  Description: The ID of the Cognito User Pool
 UserPoolClientId:
  Value: !Ref CognitoUserPoolClient
  Description: The ID of the Cognito User Pool Client
 HandTermIdentityPoolId:
  Value: !Ref HandTermIdentityPool
  Description: The ID of the Cognito Identity Pool
 HandTermHistoryBucketName:
  Value: !Ref HandTermHistoryBucket
  Description: The name of the S3 bucket for storing user history

We were having trouble applying the bucket policy to the bucket so that my TUI app can save user logs to S3 in such a way that each users log is partitioned and visible only to that user.

The template includes a Lambda@Edge function that creates HttpOnly Cookies for added security.

Since the SAM app is not working as smoothly as I expected, I would like your help using a CDK deployment strategy instead. This is just for the AWS server components that provide Cognito authentication so that the app can store user logs in the bucket that's created in the template.

Can you help me do that?

Codeium at 9:12 pm, Jun 27, 2024

Transitioning from AWS SAM to AWS CDK involves a paradigm shift from defining resources in YAML to defining them programmatically in a supported programming language such as TypeScript, Python, Java, or C#. Since you're working on a Vite Yarn React TypeScript project, I'll assume TypeScript for the CDK example.

Below, I outline the CDK equivalent of your SAM template, focusing on the key components: Cognito User Pool, Identity Pool, S3 Bucket, Bucket Policy, IAM Role, and the Lambda@Edge function. This example assumes you have basic knowledge of CDK and have the CDK library installed. If not, you might need to first install the AWS CDK Toolkit from npm (npm install -g aws-cdk) and initialize a new CDK project (cdk init app --language=typescript).

import * as cdk from '@aws-cdk/core';
import * as cognito from '@aws-cdk/aws-cognito';
import * as s3 from '@aws-cdk/aws-s3';
import * as iam from '@aws-cdk/aws-iam';
import * as lambda from '@aws-cdk/aws-lambda';
import * as s3deploy from '@aws-cdk/aws-s3-deployment';

class HandTermAppStack extends cdk.Stack {
  constructor(scope: cdk.Construct, id: string, props?: cdk.StackProps) {
    super(scope, id, props);

    // Cognito User Pool
    const userPool = new cognito.UserPool(this, 'HandTermUserPool', {
      userPoolName: 'HandTermUserPool',
      selfSignUpEnabled: true,
      userVerification: {
        emailSubject: 'Verify your email for our app!',
        emailBody: 'Hello {username}, Thanks for signing up to our app! Your verification code is {####}',
        emailStyle: cognito.VerificationEmailStyle.CODE,
      },
      signInAliases: {
        email: true
      },
      passwordPolicy: {
        minLength: 8,
        requireUppercase: true,
        requireLowercase: true,
        requireDigits: true,
        requireSymbols: true,
      },
      autoVerify: { email: true }
    });

    // Cognito User Pool Client
    const userPoolClient = userPool.addClient('AppClient', {
      authFlows: {
        userSrp: true,
        refreshToken: true,
      },
      generateSecret: false,
    });

    // Cognito Identity Pool
    const identityPool = new cognito.CfnIdentityPool(this, 'HandTermIdentityPool', {
      identityPoolName: 'HandTermIdentityPool',
      allowUnauthenticatedIdentities: false,
      cognitoIdentityProviders: [{
        clientId: userPoolClient.userPoolClientId,
        providerName: userPool.userPoolProviderName,
      }],
    });

    // S3 Bucket for User Logs
    const logsBucket = new s3.Bucket(this, 'HandTermHistoryBucket', {
      bucketName: 'handterm-history',
      blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
      encryption: s3.BucketEncryption.S3_MANAGED,
    });

    // Lambda Execution Role
    const lambdaExecutionRole = new iam.Role(this, 'LambdaExecutionRole', {
      assumedBy: new iam.CompositePrincipal(
        new iam.ServicePrincipal('lambda.amazonaws.com'),
        new iam.ServicePrincipal('edgelambda.amazonaws.com')
      ),
      managedPolicies: [
        iam.ManagedPolicy.fromAwsManagedPolicyName('service-role/AWSLambdaBasicExecutionRole'),
        iam.ManagedPolicy.fromAwsManagedPolicyName('AmazonS3FullAccess'),
      ],
    });

    // Lambda@Edge Function for HttpOnly Cookies
    const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
      runtime: lambda.Runtime.NODEJS_14_X,
      handler: 'index.handler',
      code: lambda.Code.fromAsset('path/to/lambda/code'), // Adjust path as necessary
      role: lambdaExecutionRole,
      memorySize: 128,
      description: 'A Lambda@Edge function for HttpOnly Cookies',
    });

    // Outputs
    new cdk.CfnOutput(this, 'UserPoolId', { value: userPool.userPoolId });
    new cdk.CfnOutput(this, 'UserPoolClientId', { value: userPoolClient.userPoolClientId });
    new cdk.CfnOutput(this, 'IdentityPoolId', { value: identityPool.ref });
    new cdk.CfnOutput(this, 'BucketName', { value: logsBucket.bucketName });
  }
}

const app = new cdk.App();
new HandTermAppStack(app, 'HandTermAppStack');

This is a foundational example to get you started. Note the following:

• You might need to adjust paths, names, and certain configurations to fit your exact requirements.
• Lambda@Edge functions have specific deployment considerations, especially regarding the region they're deployed in

User at 9:15 pm, Jun 27, 2024

When I run this in the app:

🕐[21:12:34]❯ cdk init app --language=typescript

`cdk init` cannot be run in a non-empty directory!

I get that error.

Is there a way to init it in the same directory or should I use a subdirectory?

Codeium at 9:15 pm, Jun 27, 2024

The error message you're encountering suggests you're trying to initialize a new AWS CDK project in a directory that already contains files. The cdk init command requires the target directory to be empty to prevent accidental overwriting of existing files.

Given that you're working in a directory already used for your project, you have a couple of options:

You can create a new subdirectory within your project specifically for the CDK infrastructure code. This keeps your infrastructure code separate from your application code, which is a good practice for project organization and version control.

1. Create a new directory for the CDK project:

mkdir cdk

2. Change into the new directory:

cd cdk

3. Run the cdk init command within this new directory:

cdk init app --language=typescript

This approach lets you maintain a single repository for both your application code and infrastructure code, without mixing the two directly. You can navigate into the cdk directory whenever you need to work on the infrastructure.

If you prefer to integrate CDK directly into your existing project without creating a subdirectory, you'll need to manually set up the CDK. This involves:

1. Installing the necessary CDK packages:

npm install aws-cdk @aws-cdk/core

2. Manually creating the files you need for CDK, such as cdk.json, tsconfig.json, and the TypeScript files for defining your CDK stack. You can look at the structure generated by the cdk init command in a separate, temporary directory to get an idea of what files are typically created and their contents.

3. Manually setting up the tsconfig.json for TypeScript configuration, ensuring it's compatible with both your application and CDK.

4. Writing your CDK stack in TypeScript files as needed.

Option 1 is generally simpler and keeps your infrastructure code cleanly separated from your application code. It's the recommended approach unless you have specific reasons for needing to keep everything in the same directory.

User at 9:27 pm, Jun 27, 2024

I chose option 1, the subdirectory.

The init process created a package-lock.json so I guess that kind of means I should use npm instead of yarn to install, but that gives me some errors:

🕐[21:17:34]❯ npm run build

> cdk@0.1.0 build
> tsc

lib/cdk-stack.ts:1:22 - error TS2307: Cannot find module '@aws-cdk/core' or its corresponding type declarations.

1 import * as cdk from '@aws-cdk/core';
            ~~~~~~~~~~~~~~~

lib/cdk-stack.ts:2:26 - error TS2307: Cannot find module '@aws-cdk/aws-cognito' or its corresponding type declarations.

2 import * as cognito from '@aws-cdk/aws-cognito';
              ~~~~~~~~~~~~~~~~~~~~~~

lib/cdk-stack.ts:3:21 - error TS2307: Cannot find module '@aws-cdk/aws-s3' or its corresponding type declarations.

3 import * as s3 from '@aws-cdk/aws-s3';
           ~~~~~~~~~~~~~~~~~

lib/cdk-stack.ts:4:22 - error TS2307: Cannot find module '@aws-cdk/aws-iam' or its corresponding type declarations.

4 import * as iam from '@aws-cdk/aws-iam';
            ~~~~~~~~~~~~~~~~~~

lib/cdk-stack.ts:5:25 - error TS2307: Cannot find module '@aws-cdk/aws-lambda' or its corresponding type declarations.

5 import * as lambda from '@aws-cdk/aws-lambda';
             ~~~~~~~~~~~~~~~~~~~~~

lib/cdk-stack.ts:6:27 - error TS2307: Cannot find module '@aws-cdk/aws-s3-deployment' or its corresponding type declarations.

6 import * as s3deploy from '@aws-cdk/aws-s3-deployment';
              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Found 6 errors in the same file, starting at: lib/cdk-stack.ts:1

Codeium at 9:27 pm, Jun 27, 2024

The errors you're encountering indicate that TypeScript cannot find the type declarations for the AWS CDK modules you're trying to import. This usually happens because the necessary NPM packages haven't been installed in your project.

Since the cdk init command generated a package-lock.json, it implies that NPM was used for initial package installation. However, whether you use NPM or Yarn for package management is up to you, as long as you're consistent within the same part of your project to avoid conflicts.

Given you've encountered errors after running npm run build, here's a step you can take to ensure all necessary AWS CDK packages are installed:

You need to explicitly install the AWS CDK libraries that your project depends on. Based on the imports in your cdk-stack.ts file, you should install the following packages:

npm install @aws-cdk/core @aws-cdk/aws-cognito @aws-cdk/aws-s3 @aws-cdk/aws-iam @aws-cdk/aws-lambda @aws-cdk/aws-s3-deployment

Make sure you run this command inside your CDK subdirectory where the package.json file is located.

If you prefer to use Yarn in line with the rest of your project, you first need to ensure that you remove the package-lock.json file (to avoid conflicts between lock files) and then use Yarn to install the dependencies. Here's how you can switch to using Yarn:

1. Delete the package-lock.json file in your CDK subdirectory.
2. Delete the node_modules directory to remove any previously installed packages via NPM.
3. Run yarn to generate a yarn.lock file and install the dependencies listed in package.json.
4. Install the AWS CDK packages using Yarn:

yarn add @aws-cdk/core @aws-cdk/aws-cognito @aws-cdk/aws-s3 @aws-cdk/aws-iam @aws-cdk/aws-lambda @aws-cdk/aws-s3-deployment

After installing the necessary packages, try to build your project again with either:

npm run build

or, if you switched to Yarn:

yarn build

This should resolve the TypeScript errors related to missing module declarations.

User at 9:30 pm, Jun 27, 2024

I haven't switched to yarn yet, but I might do that to be consistent with the parent app.

Currently I get this:

🕐[21:29:06]❯ npm run build

> cdk@0.1.0 build
> tsc

bin/cdk.ts:7:22 - error TS2345: Argument of type 'App' is not assignable to parameter of type 'Construct'.
 Type 'App' is missing the following properties from type 'Construct': onValidate, onPrepare, onSynthesize, validate, and 2 more.

7 new HandTermCdkStack(app, 'HandTermCdkStack', {
            ~~~

lib/cdk-stack.ts:38:9 - error TS2353: Object literal may only specify known properties, and 'refreshToken' does not exist in type 'AuthFlow'.

38     refreshToken: true,
      ~~~~~~~~~~~~


Found 2 errors in 2 files.

Errors Files
   1 bin/cdk.ts:7
   1 lib/cdk-stack.ts:38

Codeium at 9:31 pm, Jun 27, 2024

The errors you're seeing are related to changes in the AWS CDK API, which can occur as the CDK evolves. Let's address them one by one:

This error suggests a mismatch between the expected type of the App object and what's being passed. In recent versions of the AWS CDK, the App class is not considered a Construct. If you're following an older guide or example, this might lead to confusion. The correct usage does not require App to be treated as a Construct:

// In bin/cdk.ts or equivalent entry point file
const app = new cdk.App();
new HandTermCdkStack(app, 'HandTermCdkStack');

Ensure you're using the correct constructor signature for your stack. The above code snippet is the standard way to initialize a stack in the AWS CDK as of the latest versions.

This error is likely due to a typo or a misunderstanding of the property name within the AuthFlow configuration of a Cognito User Pool Client. The correct property for enabling refresh token-based authentication is allowRefreshTokenAuth, not refreshToken. Additionally, make sure you're using the correct structure for specifying authentication flows:

// In lib/cdk-stack.ts or where you define the Cognito User Pool Client
const userPoolClient = userPool.addClient('AppClient', {
  authFlows: {
    userSrp: true,
    allowRefreshTokenAuth: true, // Correct property name
  },
  // other properties...
});

• Ensure you're using compatible versions of AWS CDK packages. If your project's package.json includes specific versions of AWS CDK libraries, verify they are up to date or compatible with each other. Sometimes, breaking changes or deprecations can lead to such errors.

• After making these changes, run npm install again to ensure all dependencies are correctly installed according to your package.json file, then attempt to build again.

If you decide to switch to Yarn to maintain consistency with your parent app:

1. Delete package-lock.json and node_modules/ in the CDK directory.
2. Run yarn to install dependencies and create a yarn.lock file.
3. Use yarn add for any additional packages you need to install, and use yarn build to build your project.

Switching to Yarn should not affect the resolution of these specific TypeScript errors, but it's a good step for maintaining consistency in build processes across your project.

User at 10:41 pm, Jun 27, 2024

This is my cdk-stack.ts

import * as cdk from '@aws-cdk/core';
import * as cognito from '@aws-cdk/aws-cognito';
import * as s3 from '@aws-cdk/aws-s3';
import * as iam from '@aws-cdk/aws-iam';
import * as lambda from '@aws-cdk/aws-lambda';
import * as s3deploy from '@aws-cdk/aws-s3-deployment';

export class HandTermCdkStack extends cdk.Stack {
 constructor(scope: cdk.Construct, id: string, props?: cdk.StackProps) {
  super(scope, id, props);

  // Cognito User Pool
  const userPool = new cognito.UserPool(this, 'HandTermUserPool', {
   userPoolName: 'HandTermUserPool',
   selfSignUpEnabled: true,
   userVerification: {
    emailSubject: 'Verify your email for our app!',
    emailBody: 'Hello {username}, Thanks for signing up to our app! Your verification code is {####}',
    emailStyle: cognito.VerificationEmailStyle.CODE,
   },
   signInAliases: {
    email: true
   },
   passwordPolicy: {
    minLength: 8,
    requireUppercase: true,
    requireLowercase: true,
    requireDigits: true,
    requireSymbols: true,
   },
   autoVerify: { email: true }
  });

  // Cognito User Pool Client
  const userPoolClient = userPool.addClient('AppClient', {
   authFlows: {
    userSrp: true,
   },
   generateSecret: false,
  });

  // Cognito Identity Pool
  const identityPool = new cognito.CfnIdentityPool(this, 'HandTermIdentityPool', {
   identityPoolName: 'HandTermIdentityPool',
   allowUnauthenticatedIdentities: false,
   cognitoIdentityProviders: [{
    clientId: userPoolClient.userPoolClientId,
    providerName: userPool.userPoolProviderName,
   }],
  });

  // S3 Bucket for User Logs
  const logsBucket = new s3.Bucket(this, 'HandTermHistoryBucket', {
   bucketName: 'handterm-history',
   blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
   encryption: s3.BucketEncryption.S3_MANAGED,
  });

  // Lambda Execution Role
  const lambdaExecutionRole = new iam.Role(this, 'LambdaExecutionRole', {
   assumedBy: new iam.CompositePrincipal(
    new iam.ServicePrincipal('lambda.amazonaws.com'),
    new iam.ServicePrincipal('edgelambda.amazonaws.com')
   ),
   managedPolicies: [
    iam.ManagedPolicy.fromAwsManagedPolicyName('service-role/AWSLambdaBasicExecutionRole'),
    iam.ManagedPolicy.fromAwsManagedPolicyName('AmazonS3FullAccess'),
   ],
  });

  // Lambda@Edge Function for HttpOnly Cookies
  const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
   runtime: lambda.Runtime.NODEJS_14_X,
   handler: 'index.handler',
   code: lambda.Code.fromAsset('path/to/lambda/code'), // Adjust path as necessary
   role: lambdaExecutionRole,
   memorySize: 128,
   description: 'A Lambda@Edge function for HttpOnly Cookies',
  });

  // Outputs
  new cdk.CfnOutput(this, 'UserPoolId', { value: userPool.userPoolId });
  new cdk.CfnOutput(this, 'UserPoolClientId', { value: userPoolClient.userPoolClientId });
  new cdk.CfnOutput(this, 'IdentityPoolId', { value: identityPool.ref });
  new cdk.CfnOutput(this, 'BucketName', { value: logsBucket.bucketName });
 }
}

const app = new cdk.App();
new HandTermCdkStack(app, 'HandTermCdkStack');

and this is my package.json

{
 "name": "cdk",
 "version": "0.1.0",
 "bin": {
  "cdk": "bin/cdk.js"
 },
 "scripts": {
  "build": "tsc",
  "watch": "tsc -w",
  "test": "jest",
  "cdk": "cdk"
 },
 "devDependencies": {
  "@types/jest": "^29.5.12",
  "@types/node": "20.14.2",
  "aws-cdk": "2.147.2",
  "jest": "^29.7.0",
  "ts-jest": "^29.1.4",
  "ts-node": "^10.9.2",
  "typescript": "~5.4.5"
 },
 "dependencies": {
  "@aws-cdk/aws-cognito": "^1.204.0",
  "@aws-cdk/aws-iam": "^1.204.0",
  "@aws-cdk/aws-lambda": "^1.204.0",
  "@aws-cdk/aws-s3": "^1.204.0",
  "@aws-cdk/aws-s3-deployment": "^1.204.0",
  "@aws-cdk/core": "^1.204.0",
  "aws-cdk-lib": "2.147.2",
  "constructs": "^10.0.0",
  "source-map-support": "^0.5.21"
 }
}

I am getting this error:

🕐[22:34:25]❯ yarn build   
yarn run v1.22.22
warning package.json: No license field
warning ..\..\..\..\package.json: No license field
$ tsc
bin/cdk.ts:7:22 - error TS2345: Argument of type 'App' is not assignable to parameter of type 'Construct'.
 Type 'App' is missing the following properties from type 'Construct': onValidate, onPrepare, onSynthesize, validate, and 2 more.

7 new HandTermCdkStack(app, 'HandTermCdkStack', {
            ~~~


Found 1 error in bin/cdk.ts:7

error Command failed with exit code 2.
info Visit https://yarnpkg.com/en/docs/cli/run for documentation about this command.

Codeium at 10:41 pm, Jun 27, 2024

The error you're encountering is due to a mismatch between the @aws-cdk/core package and the newer aws-cdk-lib. This confusion arises from the significant changes introduced in AWS CDK v2, which aimed to simplify the import process and package management by consolidating most AWS CDK libraries into a single aws-cdk-lib package.

Given the contents of your package.json, it looks like you're trying to use both the old individual package style (@aws-cdk/aws-cognito, @aws-cdk/aws-iam, etc.) and the new consolidated aws-cdk-lib. This is not the correct approach for CDK v2. In CDK v2, you should only use aws-cdk-lib for importing CDK constructs.

Here's how you can resolve the issue:

First, update your cdk-stack.ts (and any other TypeScript files using CDK imports) to use aws-cdk-lib instead of individual packages like @aws-cdk/core. Here's an example of how to adjust the imports in your cdk-stack.ts:

import { aws_cognito as cognito, aws_s3 as s3, aws_iam as iam, aws_lambda as lambda, aws_s3_deployment as s3deploy } from 'aws-cdk-lib';
import { Construct } from 'constructs';
import * as cdk from 'aws-cdk-lib';

Remove the individual CDK package dependencies (@aws-cdk/aws-cognito, @aws-cdk/aws-iam, etc.) and @aws-cdk/core from your package.json, since aws-cdk-lib and constructs are the only CDK dependencies needed for CDK v2.

Your dependencies in package.json should look something like this:

"dependencies": {
  "aws-cdk-lib": "2.147.2",
  "constructs": "^10.0.0",
  "source-map-support": "^0.5.21"
}

Make sure to run yarn install or npm install after making changes to your package.json to update your node_modules.

Adjust the HandTermCdkStack constructor to extend Construct instead of cdk.App:

export class HandTermCdkStack extends cdk.Stack {
  constructor(scope: Construct, id: string, props?: cdk.StackProps) {
    super(scope, id, props);

    // Your stack definition...
  }
}

In your entry point file (usually something like bin/cdk.ts), make sure you are correctly initializing the app and stack without trying to pass App as a Construct:

import * as cdk from 'aws-cdk-lib';
import { HandTermCdkStack } from '../lib/cdk-stack';

const app = new cdk.App();
new HandTermCdkStack(app, 'HandTermCdkStack');

Following these steps should resolve the error and allow your CDK project to build successfully.

User at 10:52 pm, Jun 27, 2024

Ok, now yarn build is successful.

What are my next steps for testing this out and continuing with what's incomplete?

Codeium at 10:53 pm, Jun 27, 2024

Great to hear that your build is successful! Now that your AWS CDK stack is set up, the next steps involve deploying your stack to AWS, testing it to ensure it works as expected, and then iterating on your design. Here's how you can proceed:

AWS CDK requires a bootstrap stack to be deployed in your AWS account, which sets up resources that the CDK CLI uses to deploy your app. Run the following command if you haven't bootstrapped your environment yet:

cdk bootstrap

Ensure your AWS CLI is configured with the correct credentials and default region.

With your CDK stack defined and built, you can now deploy it to your AWS account:

cdk deploy

This command initiates the deployment process, which includes synthesizing a CloudFormation template from your CDK code, and then deploying that template as a stack in your AWS account.

After deployment, test the functionalities you've set up to ensure they work as expected:

• Cognito User Pool and Client: Try signing up a user or using the AWS Management Console to navigate to the Cognito service and see if your user pool looks correct.
• S3 Bucket: Check that the S3 bucket for user logs exists and is configured according to your specifications.
• Lambda@Edge Function: Depending on how this function is triggered, you may need to configure a CloudFront distribution and test the behavior of the Lambda function when CloudFront requests are made.
• Identity Pool: Ensure that the identity pool is correctly set up to federate identities for authenticated and (if configured) unauthenticated users.

Based on your testing results, you might need to make changes to your CDK stack. You can update your CDK code and redeploy using cdk deploy. The CDK CLI will handle the changesets and update your stack accordingly.

If you're done testing or if you want to remove the resources to avoid incurring charges, you can destroy the deployed stack:

cdk destroy

This command will remove the resources specified in your CDK stack from your AWS account.

Remember to commit your changes to your version control system to keep track of your infrastructure as code evolution.

Consider setting up CI/CD for your infrastructure and application. This can involve automating the build and deployment process using AWS CodePipeline, GitHub Actions, or other CI/CD tools.

Finally, ensure that your project documentation is updated to reflect the addition of AWS CDK for infrastructure management, including any setup instructions or important notes about the infrastructure.

By following these steps, you should be able to effectively test, deploy, and manage your infrastructure using the AWS CDK.

User at 11:01 pm, Jun 27, 2024

When I ran cdk bootstrap I realized I hadn't added my lambda function code:

// cdk/lib/app.ts

import { APIGatewayProxyEvent, APIGatewayProxyResult } from 'aws-lambda';


/**
 *
 * Event doc: https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html#api-gateway-simple-proxy-for-lambda-input-format
 * @param {Object} event - API Gateway Lambda Proxy Input Format
 *
 * Return doc: https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html
 * @returns {Object} object - API Gateway Lambda Proxy Output Format
 *
 */

import { CloudFrontResponseEvent, CloudFrontResponseHandler, CloudFrontResponseResult } from 'aws-lambda';

export const lambdaHandler: CloudFrontResponseHandler = async (event: CloudFrontResponseEvent): Promise<CloudFrontResponseResult> => {
 const response = event.Records[0].cf.response;
 const headers = response.headers;

 // Set HttpOnly Cookie
 headers['set-cookie'] = [{
  key: 'Set-Cookie',
  value: `handterm-history=YourCookieValue; Path=/; Secure; HttpOnly;`
 }];

 return response;
};

So now I've updated the `cdk/lib/cdk-stack.ts` with this:

```ts
  // Lambda@Edge Function for HttpOnly Cookies
  const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
   runtime: lambda.Runtime.NODEJS_20_X,
   handler: 'CloudFrontResponseHandler',
   code: lambda.Code.fromAsset('app.ts'), // Adjust path as necessary
   role: lambdaExecutionRole,
   memorySize: 128,
   description: 'A Lambda@Edge function for HttpOnly Cookies',
  });

Codeium at 11:01 pm, Jun 27, 2024

To successfully include and deploy your Lambda function code using AWS CDK, there are a few adjustments and considerations you need to take into account:

1. Lambda Function Code Location: The lambda.Code.fromAsset('app.ts') statement indicates that CDK should package the app.ts file as the source code for your Lambda function. However, AWS Lambda expects either a zip file containing your code or a directory that it will zip and upload. If app.ts is a single TypeScript file, you need to ensure it's transpiled to JavaScript, as AWS Lambda does not natively execute TypeScript code. Typically, you would place your Lambda function code in a specific directory, like lambda/, and include any necessary dependencies.

2. Handler Setting: The handler property should specify the file and method where your Lambda function's handler is defined. If your transpiled JavaScript file is named app.js and your export is named lambdaHandler, then your handler string should be app.lambdaHandler.

3. Transpiling TypeScript: If your Lambda function is written in TypeScript, you need to transpile it to JavaScript before deployment. This can be done by setting up a build script in your package.json that runs tsc or another build tool to transpile your TypeScript code to JavaScript.

4. Adjusting the CDK Stack for Lambda@Edge: Lambda@Edge functions have specific requirements, such as being deployed in the us-east-1 region and having a role that grants permission to execute the function from CloudFront. Ensure that your lambdaExecutionRole has the correct permissions for Lambda@Edge.

Considering these points, here's how you might adjust your setup:

Create a directory for your Lambda function code, if you haven't already. For example, lambda/handtermEdgeFunction/:

project-root/
├─ lib/
│  ├─ cdk-stack.ts
├─ lambda/
│  ├─ handtermEdgeFunction/
│  │  ├─ app.ts (or app.js if you've transpiled it)

If app.ts is TypeScript, ensure it's transpiled to JavaScript. Your package.json might include a script like:

"scripts": {
  "build-lambda": "tsc --project lambda/handtermEdgeFunction/tsconfig.json"
}

You would also need a tsconfig.json in your lambda/handtermEdgeFunction/ directory tailored to your project's needs.

Adjust your Lambda@Edge function definition in cdk-stack.ts to point to the correct directory and handler:

const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
  runtime: lambda.Runtime.NODEJS_14_X, // Note: Ensure you're using a runtime supported by Lambda@Edge
  handler: 'app.lambdaHandler', // Adjusted to point to the transpiled JS file and handler
  code: lambda.Code.fromAsset('lambda/handtermEdgeFunction/'), // Pointing to the directory
  role: lambdaExecutionRole,
  memorySize: 128,
  description: 'A Lambda@Edge function for HttpOnly Cookies',
});

After making these adjustments, run your build scripts and then cdk deploy again to deploy your changes.

This setup ensures that your TypeScript Lambda function is correctly packaged and deployed as part of your CDK stack.

User at 11:08 pm, Jun 27, 2024

I'm not sure what the tsconfig.json at cdk/lambda/handtermEdgeFunction/ should contain, but the one at cdk/tsconfig.json contains this:

{
 "compilerOptions": {
  "target": "ES2020",
  "module": "commonjs",
  "lib": [
   "es2020",
   "dom"
  ],
  "declaration": true,
  "strict": true,
  "noImplicitAny": true,
  "strictNullChecks": true,
  "noImplicitThis": true,
  "alwaysStrict": true,
  "noUnusedLocals": false,
  "noUnusedParameters": false,
  "noImplicitReturns": true,
  "noFallthroughCasesInSwitch": false,
  "inlineSourceMap": true,
  "inlineSources": true,
  "experimentalDecorators": true,
  "strictPropertyInitialization": false,
  "typeRoots": [
   "./node_modules/@types"
  ]
 },
 "exclude": [
  "node_modules",
  "cdk.out"
 ]
}

Codeium at 11:08 pm, Jun 27, 2024

For a tsconfig.json specifically tailored to a Lambda function, especially if it's located in a subdirectory like cdk/lambda/handtermEdgeFunction/, you can start with a simplified version of your main tsconfig.json file. The key adjustments would involve targeting settings appropriate for the AWS Lambda execution environment and excluding any unnecessary options that are more relevant to the broader project context.

AWS Lambda currently supports Node.js environments up to Node.js 14.x and recently added support for Node.js 16.x. Ensure your TypeScript configuration targets an appropriate ECMAScript version supported by your chosen runtime. For Node.js 14.x, targeting ES2020 is suitable.

Here's an example tsconfig.json for your Lambda function:

{
  "compilerOptions": {
    "target": "ES2020",
    "module": "commonjs",
    "lib": ["es2020"],
    "outDir": "./dist",
    "rootDir": "./",
    "strict": true,
    "noImplicitAny": true,
    "strictNullChecks": true,
    "noImplicitThis": true,
    "alwaysStrict": true,
    "noUnusedLocals": true,
    "noUnusedParameters": true,
    "noImplicitReturns": true,
    "noFallthroughCasesInSwitch": true,
    "inlineSourceMap": false,
    "inlineSources": false,
    // Optional: Consider enabling these options for stricter type checking
    // "strictPropertyInitialization": true,
    // "strictFunctionTypes": true,
    "experimentalDecorators": true,
    "esModuleInterop": true
  },
  "exclude": ["node_modules", "dist"]
}

• target and module: These settings ensure compatibility with the Lambda execution environment. Adjust the target as necessary based on the Node.js version you're using.
• lib: Specifies a list of library files to be included in the compilation. es2020 is suitable for Node.js 14.x environments.
• outDir and rootDir: Directs the TypeScript compiler on where to find source files (rootDir) and where to output the compiled JavaScript files (outDir). Adjust these paths as necessary.
• strict: Enables a wide range of type checking behavior that results in more robust code.
• Exclusions: Includes node_modules to avoid compiling dependencies and dist (or your specified output directory) to avoid recursive compilation.

• Modify the paths in outDir and rootDir if your project structure differs.
• Depending on the Node.js runtime version (runtime in your cdk-stack.ts), you might adjust the target and lib to match supported ECMAScript features.

After setting up your tsconfig.json, you'll need to ensure your build process compiles the TypeScript code into JavaScript before deploying with CDK. You might have a build script in your main package.json that specifically handles this, such as "build-lambda": "tsc --project lambda/handtermEdgeFunction/tsconfig.json", ensuring your Lambda function code is ready for deployment.

User at 11:13 pm, Jun 27, 2024

I think we have to use Node 16. I am getting linting errors with Node 14.

Codeium at 11:14 pm, Jun 27, 2024

If you need to target Node.js 16 for your AWS Lambda function due to compatibility or feature requirements, you should adjust the TypeScript configuration to align with the capabilities of Node.js 16. This involves modifying the target and lib compiler options in your tsconfig.json to ensure the generated JavaScript code is appropriate for the Node.js 16 runtime environment.

Here's an updated version of the tsconfig.json for your Lambda function, located in cdk/lambda/handtermEdgeFunction/, to target Node.js 16:

{
  "compilerOptions": {
    "target": "ES2021", // Node.js 16 supports ES2021 features
    "module": "commonjs",
    "lib": ["es2021"], // Include standard library features for ES2021
    "outDir": "./dist",
    "rootDir": "./",
    "strict": true,
    "noImplicitAny": true,
    "strictNullChecks": true,
    "noImplicitThis": true,
    "alwaysStrict": true,
    "noUnusedLocals": true,
    "noUnusedParameters": true,
    "noImplicitReturns": true,
    "noFallthroughCasesInSwitch": true,
    "inlineSourceMap": false,
    "inlineSources": false,
    "experimentalDecorators": true,
    "esModuleInterop": true,
    "skipLibCheck": true // Optionally, skip type checking of declaration files.
  },
  "exclude": ["node_modules", "dist"]
}

• target and lib: Updated to ES2021 to leverage the latest ECMAScript features supported by Node.js 16.
• skipLibCheck: This optional flag can improve build times and sidestep issues with type definitions in your node_modules. It's particularly useful if you're encountering linting or type errors from third-party libraries.

After updating your tsconfig.json, ensure your Lambda function's code uses features supported by Node.js 16, and adjust your Lambda runtime accordingly in your CDK stack definition:

const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
  runtime: lambda.Runtime.NODEJS_16_X, // Specify Node.js 16.x runtime
  handler: 'app.lambdaHandler',
  code: lambda.Code.fromAsset('lambda/handtermEdgeFunction/dist'), // Ensure this points to the transpiled JS files
  role: lambdaExecutionRole,
  memorySize: 128,
  description: 'A Lambda@Edge function for HttpOnly Cookies',
});

Make sure to compile your TypeScript code and deploy your changes. Adjusting these settings ensures that your Lambda function utilizes the Node.js 16 runtime, aligning with your project requirements and resolving compatibility issues.

User at 11:17 pm, Jun 27, 2024

cdk bootstrap now gives me this:

🕐[23:12:52]❯ cdk bootstrap
Debugger listening on ws://127.0.0.1:54121/f7752de8-a34a-4930-8977-59da01ece345
For help, see: https://nodejs.org/en/docs/inspector
Debugger attached.
Waiting for the debugger to disconnect...
 ⏳ Bootstrapping environment aws://865664998993/us-west-1...
Trusted accounts for deployment: (none)
Trusted accounts for lookup: (none)
Using default execution policy of 'arn:aws:iam::aws:policy/AdministratorAccess'. Pass '--cloudformation-execution-policies' to customize.
CDKToolkit: creating CloudFormation changeset...
CDKToolkit | 0/12 | 11:14:25 PM | REVIEW_IN_PROGRESS  | AWS::CloudFormation::Stack | CDKToolkit User Initiated
CDKToolkit | 0/12 | 11:14:31 PM | CREATE_IN_PROGRESS  | AWS::CloudFormation::Stack | CDKToolkit User Initiated
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::S3::Bucket     | StagingBucket
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 0/12 | 11:14:33 PM | CREATE_IN_PROGRESS  | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::SSM::Parameter   | CdkBootstrapVersion Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::ECR::Repository  | ContainerAssetsRepository Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole Resource creation Initiated
CDKToolkit | 0/12 | 11:14:34 PM | CREATE_IN_PROGRESS  | AWS::S3::Bucket     | StagingBucket Resource creation Initiated
CDKToolkit | 1/12 | 11:14:34 PM | CREATE_COMPLETE   | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 2/12 | 11:14:34 PM | CREATE_COMPLETE   | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 3/12 | 11:14:52 PM | CREATE_COMPLETE   | AWS::IAM::Role     | FilePublishingRole
CDKToolkit | 4/12 | 11:14:52 PM | CREATE_COMPLETE   | AWS::IAM::Role     | ImagePublishingRole
CDKToolkit | 5/12 | 11:14:52 PM | CREATE_COMPLETE   | AWS::IAM::Role     | CloudFormationExecutionRole
CDKToolkit | 6/12 | 11:14:52 PM | CREATE_COMPLETE   | AWS::IAM::Role     | LookupRole
CDKToolkit | 6/12 | 11:14:52 PM | CREATE_IN_PROGRESS  | AWS::IAM::Policy    | ImagePublishingRoleDefaultPolicy
CDKToolkit | 6/12 | 11:14:54 PM | CREATE_IN_PROGRESS  | AWS::IAM::Policy    | ImagePublishingRoleDefaultPolicy Resource creation Initiated
CDKToolkit | 7/12 | 11:14:58 PM | CREATE_COMPLETE   | AWS::S3::Bucket     | StagingBucket
CDKToolkit | 7/12 | 11:14:59 PM | CREATE_IN_PROGRESS  | AWS::S3::BucketPolicy  | StagingBucketPolicy
CDKToolkit | 7/12 | 11:14:59 PM | CREATE_IN_PROGRESS  | AWS::IAM::Policy    | FilePublishingRoleDefaultPolicy
CDKToolkit | 7/12 | 11:14:59 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | DeploymentActionRole
CDKToolkit | 7/12 | 11:15:00 PM | CREATE_IN_PROGRESS  | AWS::S3::BucketPolicy  | StagingBucketPolicy Resource creation Initiated
CDKToolkit | 7/12 | 11:15:00 PM | CREATE_IN_PROGRESS  | AWS::IAM::Policy    | FilePublishingRoleDefaultPolicy Resource creation Initiated
CDKToolkit | 8/12 | 11:15:00 PM | CREATE_COMPLETE   | AWS::S3::BucketPolicy  | StagingBucketPolicy
CDKToolkit | 8/12 | 11:15:01 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | DeploymentActionRole Resource creation Initiated
CDKToolkit | 9/12 | 11:15:09 PM | CREATE_COMPLETE   | AWS::IAM::Policy    | ImagePublishingRoleDefaultPolicy 
CDKToolkit | 10/12 | 11:15:16 PM | CREATE_COMPLETE   | AWS::IAM::Policy    | FilePublishingRoleDefaultPolicy 
CDKToolkit | 11/12 | 11:15:19 PM | CREATE_COMPLETE   | AWS::IAM::Role     | DeploymentActionRole 
CDKToolkit | 12/12 | 11:15:20 PM | CREATE_COMPLETE   | AWS::CloudFormation::Stack | CDKToolkit 
 ✅ Environment aws://865664998993/us-west-1 bootstrapped.

Codeium at 11:17 pm, Jun 27, 2024

The output you've shared indicates that the cdk bootstrap command has successfully bootstrapped your AWS environment. This process sets up the necessary resources that the AWS CDK requires to deploy and manage your cloud resources. Here's a quick overview of what happened based on the output:

1. CloudFormation Stack Deployment: The CDK Toolkit deployed a CloudFormation stack named CDKToolkit. This stack contains the foundational resources needed for CDK deployments, including an S3 bucket for staging assets, IAM roles for deployment and asset publishing, and an ECR repository for container assets.

2. Resources Created:

   • S3 Bucket (StagingBucket): Used to store assets like Lambda code zips or Docker images that are part of your CDK applications before they are deployed to their final locations.
   • IAM Roles: Several roles were created for different purposes:
     • FilePublishingRole and ImagePublishingRole are used for publishing assets to the S3 bucket and ECR repository.
     • CloudFormationExecutionRole is assumed by CloudFormation to deploy resources as defined in your CDK applications.
     • LookupRole is used by the CDK CLI to perform environment lookups.
     • DeploymentActionRole is used during deployment actions.
   • ECR Repository (ContainerAssetsRepository): If your application includes Docker containers, this repository is used to store those container images.
   • Policies: Attached to the respective roles, providing the necessary permissions for each role's intended actions.

3. Successful Bootstrap: The final line, ✅ Environment aws://865664998993/us-west-1 bootstrapped., confirms that the bootstrap process completed successfully for your specified AWS account and region (us-west-1).

With your environment bootstrapped, you're ready to proceed with deploying your CDK application:

• Deploy Your Application: Run cdk deploy to deploy your CDK stacks to AWS. This command synthesizes your CDK code into an AWS CloudFormation template and deploys it.
• Testing and Validation: After deployment, validate the resources created by your CDK application in the AWS Management Console or using the AWS CLI. This might include testing your Lambda@Edge function by triggering it via a CloudFront distribution, verifying Cognito User Pools, etc.
• Iterate as Needed: Based on your testing results, you may need to make adjustments to your CDK code and redeploy.

Remember, each time you make changes to your CDK application and want those changes reflected in AWS, you'll need to run cdk deploy again. If you're experimenting or learning, keep an eye on the resources being created to avoid unexpected charges.

User at 11:30 pm, Jun 27, 2024

I ran cdk deploy and it worked, but then I noticed that it deployed to my wrong account.

Now I get this error on my account:

🕐[23:25:57]❯ cdk bootstrap --region us-east-1 --profile mark
Debugger listening on ws://127.0.0.1:63857/363199d3-a3d4-4dc2-94cc-b5aba902bb17
For help, see: https://nodejs.org/en/docs/inspector
Debugger attached.
Waiting for the debugger to disconnect...
 ⏳ Bootstrapping environment aws://318364255844/us-west-2...
Trusted accounts for deployment: (none)
Trusted accounts for lookup: (none)
Using default execution policy of 'arn:aws:iam::aws:policy/AdministratorAccess'. Pass '--cloudformation-execution-policies' to customize.
CDKToolkit: creating CloudFormation changeset...
CDKToolkit | 0/12 | 11:27:08 PM | REVIEW_IN_PROGRESS  | AWS::CloudFormation::Stack | CDKToolkit User Initiated
CDKToolkit | 0/12 | 11:27:14 PM | CREATE_IN_PROGRESS  | AWS::CloudFormation::Stack | CDKToolkit User Initiated
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole
CDKToolkit | 0/12 | 11:27:16 PM | CREATE_IN_PROGRESS  | AWS::S3::Bucket     | StagingBucket
CDKToolkit | 0/12 | 11:27:17 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole Resource creation Initiated
CDKToolkit | 0/12 | 11:27:17 PM | CREATE_IN_PROGRESS  | AWS::SSM::Parameter   | CdkBootstrapVersion Resource creation Initiated
CDKToolkit | 0/12 | 11:27:17 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole Resource creation Initiated
CDKToolkit | 0/12 | 11:27:17 PM | CREATE_IN_PROGRESS  | AWS::ECR::Repository  | ContainerAssetsRepository Resource creation Initiated
CDKToolkit | 0/12 | 11:27:17 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole Resource creation Initiated
CDKToolkit | 1/12 | 11:27:17 PM | CREATE_COMPLETE   | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 1/12 | 11:27:18 PM | CREATE_FAILED    | AWS::S3::Bucket     | StagingBucket Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 9cd1b34f-f2f3-ca84-59c0-0c9e5231f942, HandlerErrorCode: AlreadyExists)
CDKToolkit | 1/12 | 11:27:18 PM | CREATE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole Resource creation Initiated
CDKToolkit | 2/12 | 11:27:18 PM | CREATE_COMPLETE   | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 2/12 | 11:27:18 PM | CREATE_FAILED    | AWS::IAM::Role     | CloudFormationExecutionRole Resource creation cancelled
CDKToolkit | 2/12 | 11:27:18 PM | CREATE_FAILED    | AWS::IAM::Role     | FilePublishingRole Resource creation cancelled
CDKToolkit | 2/12 | 11:27:18 PM | CREATE_FAILED    | AWS::IAM::Role     | ImagePublishingRole Resource creation cancelled
CDKToolkit | 2/12 | 11:27:18 PM | CREATE_FAILED    | AWS::IAM::Role     | LookupRole Resource creation cancelled
CDKToolkit | 2/12 | 11:27:18 PM | ROLLBACK_IN_PROGRESS | AWS::CloudFormation::Stack | CDKToolkit The following resource(s) failed to create: [ImagePublishingRole, FilePublishingRole, LookupRole, StagingBucket, CloudFormationExecutionRole]. Rollback requested by user.
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole 
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole
CDKToolkit | 2/12 | 11:27:20 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_SKIPPED    | AWS::S3::Bucket     | StagingBucket
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | ImagePublishingRole The role with name cdk-hnb659fds-image-publishing-role-318364255844-us-west-2 cannot be found. (Service: Iam, Status Code: 404, Request ID: 69655905-4880-4bd3-ae33-5f01bbdc88a8)
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | LookupRole The role with name cdk-hnb659fds-lookup-role-318364255844-us-west-2 cannot be found. (Service: Iam, Status Code: 404, Request ID: 8dbfc60f-d2a3-4686-ba1a-2277c42309c7)
CDKToolkit | 3/12 | 11:27:21 PM | DELETE_COMPLETE   | AWS::IAM::Role     | ImagePublishingRole
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_COMPLETE   | AWS::SSM::Parameter   | CdkBootstrapVersion
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | CloudFormationExecutionRole The role with name cdk-hnb659fds-cfn-exec-role-318364255844-us-west-2 cannot be found. (Service: Iam, Status Code: 404, Request ID: bea6d625-3e00-45a8-aa8a-51b021b47633)
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_IN_PROGRESS  | AWS::IAM::Role     | FilePublishingRole The role with name cdk-hnb659fds-file-publishing-role-318364255844-us-west-2 cannot be found. (Service: Iam, Status Code: 404, Request ID: 95a808dc-464f-421f-b654-c452fca3cba5)
CDKToolkit | 1/12 | 11:27:21 PM | DELETE_COMPLETE   | AWS::ECR::Repository  | ContainerAssetsRepository
CDKToolkit | 2/12 | 11:27:21 PM | DELETE_COMPLETE   | AWS::IAM::Role     | LookupRole
CDKToolkit | 3/12 | 11:27:22 PM | DELETE_COMPLETE   | AWS::IAM::Role     | CloudFormationExecutionRole
CDKToolkit | 4/12 | 11:27:22 PM | DELETE_COMPLETE   | AWS::IAM::Role     | FilePublishingRole
CDKToolkit | 5/12 | 11:27:22 PM | ROLLBACK_COMPLETE  | AWS::CloudFormation::Stack | CDKToolkit

Failed resources:
CDKToolkit | 11:27:18 PM | CREATE_FAILED    | AWS::S3::Bucket     | StagingBucket Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 9cd1b34f-f2f3-ca84-59c0-0c9e5231f942, HandlerErrorCode: AlreadyExists)
 ❌ Environment aws://318364255844/us-west-2 failed bootstrapping: Error: The stack named CDKToolkit failed creation, it may need to be manually deleted from the AWS console: ROLLBACK_COMPLETE: Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 9cd1b34f-f2f3-ca84-59c0-0c9e5231f942, HandlerErrorCode: AlreadyExists)
  at FullCloudFormationDeployment.monitorDeployment (C:\Users\xgenx\scoop\persist\nvm\nodejs\v20.12.1\node_modules\aws-cdk\lib\index.js:451:10568)
  at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
  at async C:\Users\xgenx\scoop\persist\nvm\nodejs\v20.12.1\node_modules\aws-cdk\lib\index.js:456:2329
  at async Promise.all (index 0)
  at async CdkToolkit.bootstrap (C:\Users\xgenx\scoop\persist\nvm\nodejs\v20.12.1\node_modules\aws-cdk\lib\index.js:456:2174)
  at async exec4 (C:\Users\xgenx\scoop\persist\nvm\nodejs\v20.12.1\node_modules\aws-cdk\lib\index.js:509:54331)

The stack named CDKToolkit failed creation, it may need to be manually deleted from the AWS console: ROLLBACK_COMPLETE: Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 9cd1b34f-f2f3-ca84-59c0-0c9e5231f942, HandlerErrorCode: AlreadyExists) 
handex-react\cdk on  master [$✘!+?] is 📦 v0.1.0 via  v20.12.1 on ☁️ (us-west-1) took 35s 

Codeium at 11:31 pm, Jun 27, 2024

The error you're encountering indicates that the CDK bootstrap process attempted to create an S3 bucket with a name that already exists in your AWS account and region. S3 bucket names are globally unique, and once a bucket name is taken, it cannot be used by another AWS account or in another region. This name collision is the reason for the failure of the bootstrap process.

The specific error message is:

Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 9cd1b34f-f2f3-ca84-59c0-0c9e5231f942, HandlerErrorCode: AlreadyExists)

To resolve this issue, you have a few options:

1. Manual Deletion and Retry: If it's safe to do so (meaning you don't have any important data or other dependencies on that bucket), you can manually delete the S3 bucket from the AWS Management Console or using the AWS CLI, and then retry the cdk bootstrap command. This approach is straightforward but requires caution to avoid deleting data unintentionally.

2. Use a Different AWS Account or Region: Since the bucket name collision is specific to an account and region, bootstrapping in a different account or region would not encounter this specific issue. This is mentioned only for completeness and might not be applicable to your situation.

3. Customize Bootstrap Template: CDK allows for customization of the bootstrap template, including specifying a different name for the staging bucket. This approach is more complex but can be useful in scenarios where you cannot delete the existing bucket and need to work within specific constraints.

Given the error, it seems there might have been a mix-up with the region in your command. You mentioned wanting to bootstrap in us-east-1, but the error message references us-west-2. Ensure you're specifying the correct profile and region when running the command. For example, if intending to bootstrap in us-east-1, ensure your command is correct, and your AWS profile is configured for the correct account:

cdk bootstrap --region us-east-1 --profile mark

Double-check the region and profile you're using to ensure they align with your intent. Adjusting these and ensuring you're operating in the correct account and region can often resolve these kinds of issues.

User at 7:39 am, Jun 28, 2024

When I run this in cdk/

🕐[07:33:58]❯ yarn build
yarn run v1.22.22
warning package.json: No license field
warning ..\..\..\..\package.json: No license field
$ tsc
lambda/handtermEdgeFunction/app.ts:13:94 - error TS2307: Cannot find module 'aws-lambda' or its corresponding type declarations.

13 import { CloudFrontResponseEvent, CloudFrontResponseHandler, CloudFrontResponseResult } from 'aws-lambda';
                                                ~~~~~~~~~~~~


Found 1 error in lambda/handtermEdgeFunction/app.ts:13

error Command failed with exit code 2.
info Visit https://yarnpkg.com/en/docs/cli/run for documentation about this command.

My app.ts has this:

// cdk/lib/app.ts

/**
 *
 * Event doc: https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html#api-gateway-simple-proxy-for-lambda-input-format
 * @param {Object} event - API Gateway Lambda Proxy Input Format
 *
 * Return doc: https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html
 * @returns {Object} object - API Gateway Lambda Proxy Output Format
 *
 */

import { CloudFrontResponseEvent, CloudFrontResponseHandler, CloudFrontResponseResult } from 'aws-lambda';

export const lambdaHandler: CloudFrontResponseHandler = async (event: CloudFrontResponseEvent): Promise<CloudFrontResponseResult> => {
 const response = event.Records[0].cf.response;
 const headers = response.headers;

 // Set HttpOnly Cookie
 headers['set-cookie'] = [{
  key: 'Set-Cookie',
  value: `handterm-history=YourCookieValue; Path=/; Secure; HttpOnly;`
 }];

 return response;
};

My cdk/package.json

{
 "name": "cdk",
 "version": "0.1.0",
 "bin": {
  "cdk": "bin/cdk.js"
 },
 "scripts": {
  "build-lambda": "tsc --project lambda/handtermEdgeFunction/tsconfig.json",
  "build": "tsc",
  "watch": "tsc -w",
  "test": "jest",
  "cdk": "cdk"
 },
 "devDependencies": {
  "@types/jest": "^29.5.12",
  "@types/node": "20.14.2",
  "aws-cdk": "2.147.2",
  "jest": "^29.7.0",
  "ts-jest": "^29.1.4",
  "ts-node": "^10.9.2",
  "typescript": "~5.4.5"
 },
 "dependencies": {
  "@aws-cdk/aws-lambda": "^1.204.0",
  "aws-cdk-lib": "2.147.2",
  "constructs": "^10.0.0",
  "source-map-support": "^0.5.21"
 }
}

Codeium at 7:39 am, Jun 28, 2024

The error you're encountering during the build process is due to the TypeScript compiler not being able to find type declarations for the aws-lambda package. This typically occurs because the @types/aws-lambda package, which provides TypeScript type definitions for AWS Lambda, is not installed in your project.

To solve this issue, you should install @types/aws-lambda as a development dependency in your cdk/ project where you're executing yarn build. Adding this package will provide TypeScript with the necessary type definitions for AWS Lambda, resolving the compilation error.

Run the following command in your cdk/ directory:

yarn add @types/aws-lambda --dev

This command adds the @types/aws-lambda package to your devDependencies in your cdk/package.json, allowing the TypeScript compiler to find and use the type definitions for AWS Lambda.

After installing @types/aws-lambda, try running yarn build again. The previously encountered error regarding the inability to find module 'aws-lambda' should now be resolved, and your TypeScript code should compile successfully.

Remember, whenever you're working with AWS services in TypeScript and encounter similar issues with missing types, you'll likely need to install the corresponding @types/ package for that AWS service.

User at 8:01 am, Jun 28, 2024

When I run cdk bootstrap --retion us-east-1 --profile mark I get this error:

CDKToolkit | 2/12 | 7:56:24 AM | CREATE_FAILED    | AWS::S3::Bucket     | StagingBucket Resource handler returned message: "cdk-hnb659fds-assets-318364255844-us-west-2 already exists (Service: S3, Status Code: 0, Request ID: null)" (RequestToken: 507b394b-0fbb-41b6-e0d8-322b2f91b89d, HandlerErrorCode: AlreadyExists)

But I am having trouble finding that bucket. Can I just use aws s3 ls to search for that bucket?

Codeium at 8:02 am, Jun 28, 2024

The error message you're seeing indicates a conflict because an S3 bucket with the name cdk-hnb659fds-assets-318364255844-us-west-2 already exists. This conflict prevents the CDK bootstrap process from completing successfully.

To locate and confirm the existence of this bucket, you can indeed use the AWS CLI command aws s3 ls to list all S3 buckets in your account. However, aws s3 ls alone will list buckets across all regions without indicating the region of each bucket. Since your error specifies a bucket presumably in the us-west-2 region, you might want to use a more targeted approach to confirm its presence and region.

Here are steps to help you manage this situation:

First, simply list all buckets to see if the bucket in question appears:

aws s3 ls --profile mark

Make sure to replace --profile mark with the appropriate profile name if different, or omit it if you're using the default AWS CLI profile.

If you find the bucket in question, you can confirm its region by using the get-bucket-location command:

aws s3api get-bucket-location --bucket cdk-hnb659fds-assets-318364255844-us-west-2 --profile mark

This will return the bucket's region, which should be us-west-2 according to your error message.

If the bucket exists and is in the us-west-2 region, but you intended to bootstrap in us-east-1, it suggests a possible confusion or misconfiguration in your setup. Ensure that you're operating in the correct AWS account and region.

• If the bucket is unused and was created by a previous cdk bootstrap attempt, you could manually delete it using the AWS Management Console or the AWS CLI:

  aws s3 rb s3://cdk-hnb659fds-assets-318364255844-us-west-2 --force --profile mark

  The --force option deletes all objects in the bucket before removing the bucket itself.

• After resolving the bucket conflict, you can retry bootstrapping the correct account and region. However, there seems to be a typo in your command (--retion should be --region). The corrected command is:

  cdk bootstrap --region us-east-1 --profile mark

Ensure that you're operating within the correct AWS account and have selected the correct AWS profile with --profile mark to avoid affecting resources in unintended accounts.

User at 8:04 am, Jun 28, 2024

It says the bucket is not empty. Is there any way to delete the contents of the bucket from the cli?

Codeium at 8:05 am, Jun 28, 2024

Yes, you can delete the contents of an S3 bucket using the AWS CLI before removing the bucket itself. If the bucket is not empty, you need to first delete all objects and, if enabled, delete any versions of objects (for versioned buckets).

Here's how you can do it:

For a non-versioned bucket, you can use the s3 rm command with the --recursive option to delete all objects within the bucket:

aws s3 rm s3://cdk-hnb659fds-assets-318364255844-us-west-2 --recursive --profile mark

If your bucket is versioned, you'll need to delete both the objects and their versions. You can use the following commands:

First, delete all objects:

aws s3 rm s3://cdk-hnb659fds-assets-318364255844-us-west-2 --recursive --profile mark

Then, list and delete all versions and delete markers (this step is necessary for versioned buckets):

aws s3api list-object-versions --bucket cdk-hnb659fds-assets-318364255844-us-west-2 --profile mark | aws s3api delete-objects --bucket cdk-hnb659fds-assets-318364255844-us-west-2 --delete "$(jq -r '.Versions, .DeleteMarkers | map({Key:.Key, VersionId:.VersionId})')" --profile mark

Note: The above command uses jq, a lightweight and flexible command-line JSON processor, to parse the output of list-object-versions and format it for delete-objects. Ensure you have jq installed on your system to use this command. If jq is not installed or you prefer not to use it, you'll need to manually format the output or use a script to automate the deletion of all versions and delete markers.

After all objects and versions are deleted, you can delete the bucket:

aws s3 rb s3://cdk-hnb659fds-assets-318364255844-us-west-2 --profile mark

This set of operations will ensure that the bucket is completely emptied of its contents and removed. Be sure to double-check the bucket name and AWS profile before running these commands to avoid deleting the wrong bucket or using the wrong account.

User at 8:06 am, Jun 28, 2024

how do I aws s3 ls and filter the bucket names with a wildcard?

Codeium at 8:07 am, Jun 28, 2024

The aws s3 ls command itself does not support filtering bucket names using a wildcard directly. However, you can achieve this by combining the aws s3 ls command with other command-line utilities such as grep for Linux and macOS, or Select-String for PowerShell on Windows.

You can use grep to filter the bucket names. For example, to find buckets that include cdk-hnb659fds-assets in their names, you would use:

aws s3 ls --profile mark | grep 'cdk-hnb659fds-assets'

You can use Select-String for a similar effect. Here's how you can filter bucket names in PowerShell:

aws s3 ls --profile mark | Select-String 'cdk-hnb659fds-assets'

This command lists all your S3 buckets with the AWS CLI, and then filters the output for lines containing cdk-hnb659fds-assets, effectively giving you the result as if you were using a wildcard search.

Keep in mind, grep and Select-String are powerful tools, and you can adjust the pattern to match exactly what you're looking for. If your bucket naming convention includes dates, unique IDs, or specific prefixes/suffixes, you can tailor the search pattern to match those specifics.

User at 8:08 am, Jun 28, 2024

When I try to delete the bucket it says there are version:

🕐[08:05:30]❯ aws s3 rm s3://cdk-hnb659fds-assets-318364255844-us-west-2 --recursive --profile mark
handex-react\cdk on  master [$✘!+?] is 📦 v0.1.0 via  v20.12.1 on ☁️ (us-west-1) 
🕐[08:06:02]❯ aws s3 rb s3://cdk-hnb659fds-assets-318364255844-us-west-2 --force --profile mark
remove_bucket failed: s3://cdk-hnb659fds-assets-318364255844-us-west-2 An error occurred (BucketNotEmpty) when calling the DeleteBucket operation: The bucket you tried to delete is not empty. You must delete all versions in the bucket.

Codeium at 8:09 am, Jun 28, 2024

When you encounter a message indicating that the bucket cannot be deleted because it contains versions (indicating it's a versioned bucket), you need to delete both the objects and all their versions before you can delete the bucket itself. The --force option with aws s3 rb does not remove versions of objects in a versioned bucket.

To delete all objects and their versions from a versioned bucket, you can use the AWS CLI with the following approach. This method involves first deleting all the objects and then deleting all versions and delete markers.

Unfortunately, as of my last update, the AWS CLI doesn't provide a simple one-liner command to delete all versions and delete markers for objects in a versioned bucket. You need to manually script this process.

Here's a step-by-step guide using AWS CLI commands:

This step is just for ensuring that versioning is indeed enabled. If it's already enabled, this command won't change anything.

aws s3api put-bucket-versioning --bucket cdk-hnb659fds-assets-318364255844-us-west-2 --versioning-configuration Status=Enabled --profile mark

aws s3 rm s3://cdk-hnb659fds-assets-318364255844-us-west-2 --recursive --profile mark

You'll need to script the deletion of all versions and delete markers. Here's a PowerShell script to accomplish this:

$bucket = "cdk-hnb659fds-assets-318364255844-us-west-2"
$profile = "mark"

# List all versions
$versions = aws s3api list-object-versions --bucket $bucket --profile $profile | ConvertFrom-Json

# Delete object versions
$versions.Versions | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --profile $profile
}

# Delete delete markers
$versions.DeleteMarkers | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --profile $profile
}

This script lists all versions and delete markers, then iterates over them to delete each individually.

aws s3 rb s3://cdk-hnb659fds-assets-318364255844-us-west-2 --force --profile mark

After running these commands, your bucket and all of its contents, including all versions and delete markers, should be completely deleted.

Note: Be very careful with these commands, especially when deleting objects and versions, as this operation is irreversible.

User at 8:13 am, Jun 28, 2024

My default AWS CLI output is YAML. How do I specify in the command to use JSON for this command?

Codeium at 8:13 am, Jun 28, 2024

To specify the output format as JSON for a specific AWS CLI command when your default output format is set to YAML, you can use the --output option followed by json in your command. This option allows you to override the default output format for the duration of that command without changing your global AWS CLI configuration.

Here's how you would modify the script to ensure that commands expecting JSON input format work correctly, by explicitly setting the output format of the list-object-versions command to JSON:

$bucket = "cdk-hnb659fds-assets-318364255844-us-west-2"
$profile = "mark"

# List all versions with output set to JSON
$versions = aws s3api list-object-versions --bucket $bucket --output json --profile $profile | ConvertFrom-Json

# Delete object versions
$versions.Versions | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --output json --profile $profile
}

# Delete delete markers
$versions.DeleteMarkers | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --output json --profile $profile
}

By adding --output json to each AWS CLI command, you ensure that the commands output JSON format, which is then correctly handled by ConvertFrom-Json in PowerShell. This modification is crucial if your default output format is not JSON, as the parsing and subsequent operations rely on the JSON format.

Remember, this script iterates over and deletes all versions and delete markers in the specified bucket. Ensure you have backed up any important data before running this script, as these operations are irreversible.

User at 8:20 am, Jun 28, 2024

That worked. I would like that script to print the number of items it will remove before removing them. How can I do that?

Codeium at 8:20 am, Jun 28, 2024

To print the number of items (object versions and delete markers) the script will remove before actually removing them, you can count the elements in each respective collection ($versions.Versions and $versions.DeleteMarkers) and output these counts before proceeding with the deletion. Here's how you can do it:

$bucket = "cdk-hnb659fds-assets-318364255844-us-west-2"
$profile = "mark"

# List all versions with output set to JSON
$versions = aws s3api list-object-versions --bucket $bucket --output json --profile $profile | ConvertFrom-Json

# Count object versions and delete markers
$objectVersionsCount = $versions.Versions.Count
$deleteMarkersCount = $versions.DeleteMarkers.Count

# Print counts
Write-Host "Number of object versions to delete: $objectVersionsCount"
Write-Host "Number of delete markers to delete: $deleteMarkersCount"

# Confirmation before deletion
$confirmation = Read-Host "Do you want to proceed with deletion? (Y/N)"
if ($confirmation -ne 'Y') {
    Write-Host "Deletion cancelled."
    exit
}

# Delete object versions
$versions.Versions | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --output json --profile $profile
}

# Delete delete markers
$versions.DeleteMarkers | ForEach-Object {
    aws s3api delete-object --bucket $bucket --key $_.Key --version-id $_.VersionId --output json --profile $profile
}

Write-Host "Deletion completed."

This script now does the following:

1. Lists all object versions and delete markers and stores them in $versions.
2. Counts the number of object versions and delete markers and stores these counts in $objectVersionsCount and $deleteMarkersCount respectively.
3. Prints the counts to the console, providing you with information on how many items will be deleted.
4. Asks for user confirmation before proceeding with the deletion. If the user responds with 'Y', it proceeds; otherwise, it exits the script without deleting anything.
5. Proceeds to delete the object versions and delete markers if confirmation is given.
6. Prints a message upon completion of deletion.

This approach ensures you're informed about the number of items to be deleted and provides a simple confirmation step to prevent accidental deletion.

User at 8:41 am, Jun 28, 2024

I want my machine to default to --profile mark when using the AWS CLI.

I have a [default] in my $HOME/.aws/credentials and $HOME/.aws/config that both contain the --profile mark credentials, but my system still defaults to another account.

Codeium at 8:41 am, Jun 28, 2024

To set your AWS CLI to default to using the --profile mark for commands without having to specify --profile mark each time, you can leverage environment variables. The AWS CLI uses certain environment variables to determine its behavior, including which profile and credentials to use for operations.

Here's how you can set it up in PowerShell, which seems to be your shell of choice:

To temporarily set the AWS_PROFILE environment variable for the current session, you can use:

$env:AWS_PROFILE = "mark"

This command will set the AWS CLI to use the mark profile for the duration of the session.

If you want to make this change permanent across all PowerShell sessions, you can add the above line to your Microsoft.PowerShell_profile.ps1 file. This will automatically execute the command every time a new PowerShell session is started, setting the AWS CLI to use the mark profile by default.

1. Open your PowerShell profile file for editing. If you're not sure where this file is located, you can find it by checking the value of $PROFILE in PowerShell:

Notepad $PROFILE

2. Add the following line to the end of the file:

$env:AWS_PROFILE = "mark"

3. Save the file and close your editor.

Now, every new PowerShell session will default to using the mark profile for AWS CLI commands.

To verify that your AWS CLI is now using the mark profile by default, you can run a test command that returns profile-specific information, such as listing your S3 buckets:

aws s3 ls

This command should now execute using the permissions and settings of the mark profile without needing to specify --profile mark.

Your $HOME/.aws/credentials and $HOME/.aws/config files work together to store your AWS CLI configuration and credentials. The [default] section in these files is used when no profile is explicitly specified and no environment variable overrides are present. By setting the AWS_PROFILE environment variable to mark, you're effectively telling the AWS CLI to use the [mark] profile sections from these files by default.

User at 9:01 am, Jun 28, 2024

I deleted all the buckets involved but when I run cdk deploy I get this error:

HandTermCdkStack | 6/8 | 8:46:45 AM | CREATE_FAILED    | AWS::S3::Bucket       | HandTermHistoryBucket (HandTermHistoryBucket46C3A1E2) A conflicting conditional operation is currently in progress against this resource. Please try again. (Service: S3, Status Code: 409, Request ID: CHME794CESS35RJ2, Extended Request ID: Y8ykpl2GMFW/t8aMP9Yl4w4KrVXr8B1M1LTzuHXIs4tnBLnai98Hzgs3uWtcRFk9OvEyYKmofuo=)

Codeium at 9:01 am, Jun 28, 2024

The error you're encountering, "A conflicting conditional operation is currently in progress against this resource. Please try again," typically occurs under a few circumstances when working with AWS S3:

1. Recently Deleted Bucket Name: If you've recently deleted an S3 bucket and are trying to create a new bucket with the same name, you might encounter this error. S3 bucket names are globally unique, and after deletion, there's a propagation delay before the name becomes available again. This delay can vary and AWS does not guarantee immediate availability of the name after deletion.

2. Concurrent Operations: If there are concurrent operations attempting to create or delete a bucket with the same name, this error can occur. This might happen in automated deployment pipelines where multiple processes are running in parallel.

• Wait and Retry: The simplest approach is to wait a few minutes and then retry your cdk deploy command. This can often resolve the issue if it's related to AWS's internal propagation delay after a bucket deletion.

• Check for Concurrent Deployments: Ensure there are no other processes or team members trying to create or delete a bucket with the same name at the same time.

• Unique Bucket Names: Consider using a unique name for your S3 bucket if you're not already doing so. CDK supports dynamically generating unique bucket names if you don't explicitly specify a name, which can help avoid such conflicts. For example, you can create a bucket without specifying a name:

new s3.Bucket(this, 'HandTermHistoryBucket', {
    // Bucket configuration...
});

In CDK, if you don't specify a bucketName property, AWS CDK automatically generates a unique bucket name at deployment time, which avoids naming conflicts.

• Review Stack State in CloudFormation: Sometimes, the stack might be in an inconsistent state. Check the AWS CloudFormation console for the status of your stack and any pending operations. If the stack is in a failed state due to this bucket issue, consider rolling back or deleting the stack and redeploying.

If after waiting, you continue to experience issues, double-check that there are no other AWS accounts or regions where a bucket with the same name might exist and be in a pending operation state. Bucket names are globally unique across all AWS accounts and regions, so a name conflict can arise from anywhere.

User at 9:21 am, Jun 28, 2024

Ok, the stack deployment was successfull.

 ✅ HandTermCdkStack

✨ Deployment time: 44.53s

Outputs:
HandTermCdkStack.BucketName = handterm
HandTermCdkStack.IdentityPoolId = us-west-2:a9dea5bb-5aab-4f15-b6ef-a044c27e3310
HandTermCdkStack.LambdaAtEdgeFunctionName = HandTermCdkStack-LambdaAtEdgeFunction29DB2087-9Hw5wq39ZoZM
HandTermCdkStack.UserPoolClientId = 20v05sjujvqnakhu8ps0jk2p7u
HandTermCdkStack.UserPoolId = us-west-2_u6JOIezmY
Stack ARN:
arn:aws:cloudformation:us-west-2:318364255844:stack/HandTermCdkStack/75308640-3568-11ef-85b4-0209cdc4ef6b

✨ Total time: 53.61s

I think I need it to output the auth url so I can use it in my useAuth.ts

import { useState, useEffect } from 'react';
import axios from 'axios';

const API_BASE_URL = 'https://your-api-gateway-url';

export const useAuth = () => {
 const [isLoggedIn, setIsLoggedIn] = useState<boolean>(false);

 useEffect(() => {
  // Optionally check session validity on hook mount
  const checkSession = async () => {
   try {
    // This could be a call to a `/session` endpoint that verifies the session
    await axios.get(`${API_BASE_URL}/session`);
    setIsLoggedIn(true);
   } catch (error) {
    console.error('Session check failed:', error);
    setIsLoggedIn(false);
   }
  };

  checkSession();
 }, []);

 const signUp = async (username: string, password: string, email: string) => {
  try {
   await axios.post(`${API_BASE_URL}/signup`, { username, password, email });
   // Handle post-signup logic (e.g., auto-login or redirect to login page)
  } catch (error) {
   console.error('Signup failed:', error);
   throw error;
  }
 };

 const getCurrentUser = async () => {
  try {
   const response = await axios.get(`${API_BASE_URL}/currentUser`);
   return response.data; // Contains username, attributes, etc.
  } catch (error) {
   console.error('Error fetching current user:', error);
   return null;
  }
 };
 const login = async (username: string, password: string) => {
  try {
   const response = await axios.post(`${API_BASE_URL}/login`, { username, password });
   // The API should set an HttpOnly cookie directly, no need to handle tokens here
   setIsLoggedIn(true);
   return response.data; // Return session data if needed
  } catch (error) {
   console.error('Login failed:', error);
   throw error;
  }
 };

 const logout = async () => {
  try {
   await axios.get(`${API_BASE_URL}/logout`);
   setIsLoggedIn(false);
  } catch (error) {
   console.error('Logout failed:', error);
   throw error;
  }
 };

 const refreshSession = async () => {
  try {
   // This endpoint should refresh the session and set a new HttpOnly cookie
   await axios.post(`${API_BASE_URL}/refresh-session`);
   setIsLoggedIn(true);
  } catch (error) {
   console.error('Session refresh failed:', error);
   setIsLoggedIn(false);
   throw error;
  }
 };

 return { isLoggedIn, login, logout, signUp, refreshSession, getCurrentUser };
};

Codeium at 9:21 am, Jun 28, 2024

To include the API Gateway URL in your stack's output, which you can then use in your useAuth.ts, you first need to ensure that your CDK stack outputs the API Gateway endpoint URL. Assuming you are using Amazon API Gateway in your CDK stack, here's an example of how you can output the API Gateway URL:

In your CDK stack (HandTermCdkStack), if you have an API Gateway defined, you should add an output for its URL. Let's say your API Gateway is instantiated as api in your CDK stack:

const api = new apigateway.RestApi(this, 'MyAPI', {
  // Your API Gateway configuration
});

// Other resources and configurations

new cdk.CfnOutput(this, 'ApiUrl', {
  value: api.url,
  exportName: 'ApiUrl'
});

This code snippet creates a CloudFormation output for the API Gateway URL, which will be displayed when you deploy your CDK stack. The api.url attribute contains the URL endpoint for your deployed API Gateway.

After you've successfully deployed your CDK stack with the API Gateway URL output, you'll see the URL in the stack outputs section in your terminal. You can then manually update useAuth.ts by replacing https://your-api-gateway-url with the actual URL:

// Before
const API_BASE_URL = 'https://your-api-gateway-url';

// After (example)
const API_BASE_URL = 'https://xyz123.execute-api.us-west-2.amazonaws.com/prod';

If you're looking for a way to automate this process, there are several approaches, but they typically involve some form of CI/CD pipeline or scripting to update your React app's environment variables or configuration files based on the output of the CDK deployment.

For a simple approach, you can use environment variables in your React app and update them as part of your deployment process. For example, you could set an environment variable in your CI/CD pipeline that updates the .env file or equivalent in your React app's root directory.

REACT_APP_API_BASE_URL=https://xyz123.execute-api.us-west-2.amazonaws.com/prod

Then, in your useAuth.ts, you would access this variable as follows:

const API_BASE_URL = process.env.REACT_APP_API_BASE_URL;

Remember to restart your React application after updating environment variables to ensure the changes take effect.

This way, your React app's API base URL can be dynamically set based on the output of your CDK deployment, facilitating a more automated and error-free deployment process.

User at 9:42 am, Jun 28, 2024

I don't think I am creating an ApiGateway in my cdk/lib/cdk-stack.ts, currently.

// cdk/lib/cdk-stack.ts

import { aws_cognito as cognito, aws_s3 as s3, aws_lambda as lambda, aws_iam as iam, aws_s3_deployment as s3deploy } from "aws-cdk-lib";
import { Construct } from 'constructs';
import * as cdk from 'aws-cdk-lib';

export class HandTermCdkStack extends cdk.Stack {
 constructor(scope: Construct, id: string, props?: cdk.StackProps) {
  super(scope, id, props);

  // Cognito User Pool
  const userPool = new cognito.UserPool(this, 'HandTermUserPool', {
   userPoolName: 'HandTermUserPool',
   selfSignUpEnabled: true,
   userVerification: {
    emailSubject: 'Verify your email for our app!',
    emailBody: 'Hello {username}, Thanks for signing up to our app! Your verification code is {####}',
    emailStyle: cognito.VerificationEmailStyle.CODE,
   },
   signInAliases: {
    email: true
   },
   passwordPolicy: {
    minLength: 8,
    requireUppercase: true,
    requireLowercase: true,
    requireDigits: true,
    requireSymbols: true,
   },
   autoVerify: { email: true }
  });

  // Cognito User Pool Client
  const userPoolClient = userPool.addClient('AppClient', {
   authFlows: {
    userSrp: true,
   },
   generateSecret: false,
  });

  // Cognito Identity Pool
  const identityPool = new cognito.CfnIdentityPool(this, 'HandTermIdentityPool', {
   identityPoolName: 'HandTermIdentityPool',
   allowUnauthenticatedIdentities: false,
   cognitoIdentityProviders: [{
    clientId: userPoolClient.userPoolClientId,
    providerName: userPool.userPoolProviderName,
   }],
  });

  // S3 Bucket for User Logs
  const logsBucket = new s3.Bucket(this, 'HandTermHistoryBucket', {
   bucketName: 'handterm',
   blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
   encryption: s3.BucketEncryption.S3_MANAGED,
  });

  // Lambda Execution Role
  const lambdaExecutionRole = new iam.Role(this, 'LambdaExecutionRole', {
   assumedBy: new iam.CompositePrincipal(
    new iam.ServicePrincipal('lambda.amazonaws.com'),
    new iam.ServicePrincipal('edgelambda.amazonaws.com')
   ),
   managedPolicies: [
    iam.ManagedPolicy.fromAwsManagedPolicyName('service-role/AWSLambdaBasicExecutionRole'),
    iam.ManagedPolicy.fromAwsManagedPolicyName('AmazonS3FullAccess'),
   ],
  });

  // Lambda@Edge Function for HttpOnly Cookies
  const lambdaAtEdge = new lambda.Function(this, 'LambdaAtEdgeFunction', {
   runtime: lambda.Runtime.NODEJS_16_X, // Note: Ensure you're using a runtime supported by Lambda@Edge
   handler: 'app.lambdaHandler', // Adjusted to point to the transpiled JS file and handler
   code: lambda.Code.fromAsset('lambda/handtermEdgeFunction/'), // Pointing to the directory
   role: lambdaExecutionRole,
   memorySize: 128,
   description: 'A Lambda@Edge function for HttpOnly Cookies',
  });

  // Outputs
  new cdk.CfnOutput(this, 'UserPoolId', { value: userPool.userPoolId });
  new cdk.CfnOutput(this, 'UserPoolClientId', { value: userPoolClient.userPoolClientId });
  new cdk.CfnOutput(this, 'IdentityPoolId', { value: identityPool.ref });
  new cdk.CfnOutput(this, 'BucketName', { value: logsBucket.bucketName });
  new cdk.CfnOutput(this, 'LambdaAtEdgeFunctionName', { value: lambdaAtEdge.functionName });
 }
}

const app = new cdk.App();
new HandTermCdkStack(app, 'HandTermCdkStack');

I'm not sure if it is required in order to call the Lambda@Edge function, but if it is I need to add it, I think.

Codeium at 9:43 am, Jun 28, 2024

Given your current setup in cdk/lib/cdk-stack.ts and your need to invoke Lambda@Edge functions, it seems like your ultimate goal is to enhance your application's capabilities, possibly by intercepting and processing HTTP requests/responses at the edge location nearest to the end-user. Lambda@Edge functions are typically used with Amazon CloudFront, a content delivery network (CDN) service, to customize the content delivered to users.

Lambda@Edge functions can be triggered by CloudFront events, such as requests to and responses from your origin, without needing an API Gateway. However, if your application architecture requires API calls that are not directly related to content delivery or if you need an endpoint for your frontend to interact with AWS services, then setting up an API Gateway would be the way to go.

If you need to create APIs for operations like user sign-up, login, session management, etc., and these operations are not served by Lambda@Edge, you'll want to add Amazon API Gateway to your stack. Here's a simplified example of how to add a REST API Gateway and integrate it with a Lambda function:

import * as apigateway from 'aws-cdk-lib/aws-apigateway';

// Assuming lambdaAtEdge is the Lambda function you want to use as a backend for some API calls
const api = new apigateway.RestApi(this, 'HandTermApi', {
  restApiName: 'HandTerm Service',
  description: 'Endpoint for HandTerm application.',
});

const lambdaIntegration = new apigateway.LambdaIntegration(lambdaAtEdge, {
  requestTemplates: { "application/json": '{ "statusCode": "200" }' }
});

api.root.addMethod('ANY', lambdaIntegration); // Example: Allow any HTTP method on the API root. Adjust as necessary.

// Output API Gateway endpoint URL
new cdk.CfnOutput(this, 'ApiGatewayUrl', { value: api.url });

This code snippet does the following:

• Defines a new REST API Gateway.
• Integrates the existing lambdaAtEdge Lambda function with the API Gateway. (Note: Typically, Lambda@Edge functions are used with CloudFront distributions. If your use case is specifically for API calls that don't involve CloudFront events, consider using standard Lambda functions instead.)
• Allows any HTTP method on the API root. You might want to define specific resources and methods depending on your application's requirements.
• Outputs the API Gateway endpoint URL, which you can use in your frontend application.

If your intention is to use Lambda@Edge functions for customizing content delivery with CloudFront, you don't need an API Gateway. Instead, you associate your Lambda@Edge function with specific CloudFront distribution events. Here's an example snippet for creating a CloudFront distribution and associating a Lambda@Edge function with it:

import * as cloudfront from 'aws-cdk-lib/aws-cloudfront';

const distribution = new cloudfront.Distribution(this, 'MyDistribution', {
  defaultBehavior: {
    origin: new origins.S3Origin(logsBucket), // Assuming logsBucket is your S3 bucket
    edgeLambdas: [
      {
        functionVersion: lambdaAtEdge.currentVersion,
        eventType: cloudfront.LambdaEdgeEventType.VIEWER_REQUEST, // Or another event type as needed
      },
    ],
  },
  // Additional configuration...
});

This code sets up a CloudFront distribution with your S3 bucket as the origin and associates your Lambda@Edge function to be triggered on viewer requests.

Decide whether you need an API Gateway based on whether or not your application requires API endpoints for backend interactions. If your use case is primarily related to content delivery and customization with CloudFront, then focusing on Lambda@Edge with CloudFront might be sufficient.

User at 9:53 am, Jun 28, 2024

My initial intention was just to provide HttpOnly Cookies to prevent XSS attacks, but additionally I need the app to store user logs in a way that is only accessable by the each user. Secure S3 storage for each user.

Which implementation would be better for that? The logs will be write-once-read-many.

Codeium at 9:54 am, Jun 28, 2024

For your requirements of providing HttpOnly cookies to prevent XSS attacks and securely storing user logs in S3 where they are accessible only by each respective user, you would likely need a combination of services including Amazon Cognito, AWS Lambda, Amazon S3, and potentially Amazon API Gateway, depending on how you wish to manage access and authentication. Here's a high-level approach to implementing this:

• Lambda@Edge: You're on the right track with Lambda@Edge for setting HttpOnly cookies. This is particularly useful for reading cookies on requests and setting them on responses at the CloudFront edge locations, enhancing security by restricting access to the cookie from client-side scripts and thereby mitigating XSS attacks.
• CloudFront Distribution: Use CloudFront to serve your application and configure Lambda@Edge to intercept requests/responses for setting or validating HttpOnly cookies.

For securely storing user logs in S3 and ensuring they are accessible only by each user, use the following architecture:

• Amazon Cognito: Utilize Amazon Cognito for user authentication. Each user will have a unique identifier (UserID).
• Amazon S3 Bucket Configuration:
  • Create a single S3 bucket to store user logs.
  • Use a naming convention for log files that includes the UserID, ensuring segregation of data. For example, logs/{UserID}/log1.txt.
  • Enable S3 server-side encryption for data at rest for additional security.
• IAM Role for Lambda Function: Create an IAM role with permissions to write to the S3 bucket and assume by Lambda functions.
• AWS Lambda for Log Uploads:
  • Develop a Lambda function that handles log uploads. This function can be triggered directly from your application via API Gateway or from other AWS services.
  • The Lambda function should extract the UserID from the context provided by Amazon Cognito (passed through API Gateway) to ensure users can only write to their designated log file prefix.
• Fine-Grained Access Control:
  • Implement fine-grained access control with S3 bucket policies or IAM policies to restrict access based on the Cognito UserID, ensuring users can only access their own logs.
  • Alternatively, generate pre-signed URLs with Lambda for secure, temporary access to a user's logs without exposing them directly.

• If your application requires a backend to manage log uploads or fetches (beyond direct S3 access), consider using API Gateway integrated with Lambda and Cognito for authentication.
• API Gateway can be configured to use Cognito User Pools for authentication, ensuring that API requests are authorized. It can also pass the UserID context to Lambda, which then operates on S3.

const userPool = new cognito.UserPool(this, 'HandTermUserPool', {
  // Configuration...
});

const api = new apigateway.RestApi(this, 'HandTermApi', {
  restApiName: 'HandTerm Service',
  // Configuration...
});

api.root.addMethod('POST', new apigateway.LambdaIntegration(uploadLogLambda), {
  authorizationType: apigateway.AuthorizationType.COGNITO,
  authorizer: new apigateway.CognitoUserPoolsAuthorizer(this, 'CognitoAuthorizer', {
    cognitoUserPools: [userPool]
  }),
});

const uploadLogLambda = new lambda.Function(this, 'UploadLogFunction', {
  // Configuration...
  environment: {
    BUCKET_NAME: logsBucket.bucketName,
  },
});

// IAM role for Lambda with S3 access
const lambdaExecutionRole = new iam.Role(this, 'LambdaExecutionRole', {
  // Configuration...
  managedPolicies: [
    iam.ManagedPolicy.fromAwsManagedPolicyName('service-role/AWSLambdaBasicExecutionRole'),
    new iam.PolicyStatement({
      actions: ['s3:PutObject'],
      resources: [logsBucket.bucketArn + '/logs/*'],
    }),
  ],
});

This approach provides a secure, scalable way to handle user sessions with HttpOnly cookies and store user logs in S3 with access control. Each component plays a role in ensuring that log data is securely written and accessible only by the user it belongs to, aligning with your requirements for security and user data isolation.