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README.md

Working with Aurora and Data APIs

Preparation

This recipe requires some “prep work” which deploys resources that you’ll build the solution on. You will use the AWS CDK to deploy these resources

In the root of this Chapter’s repo cd to the “408-Working-with-Aurora-and-Data-APIs/cdk-AWS-Cookbook-408” directory and follow the subsequent steps:

cd 408-Working-with-Aurora-and-Data-APIs/cdk-AWS-Cookbook-408/
test -d .venv || python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
cdk deploy

Wait for the cdk deploy command to complete.

We created a helper.py script to let you easily create and export environment variables to make subsequent commands easier. Run the script, and copy the output to your terminal to export variables:

python helper.py

Navigate up to the main directory for this recipe (out of the “cdk-AWS-Cookbook-402” directory):

cd ..

Clean up

Delete the SSM parameters:

aws ssm delete-parameter --name Cookbook408DatabaseName
aws ssm delete-parameter --name Cookbook408SecretArn
aws ssm delete-parameter --name Cookbook408ClusterArn

Detach the policy from the role:

aws iam detach-role-policy --role-name $INSTANCE_ROLE_NAME \
--policy-arn arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSCookbook408RDSDataPolicy

Delete the IAM Policy:

aws iam delete-policy --policy-arn \
arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSCookbook408RDSDataPolicy

Go to the cdk-AWS-Cookbook-408 directory:

cd cdk-AWS-Cookbook-408/

To clean up the environment variables, run the helper.py script in this recipe’s cdk- directory with the --unset flag, and copy the output to your terminal to export variables:

python helper.py --unset

Use the AWS CDK to destroy the resources, deactivate your Python virtual environment, and go to the root of the chapter:

cdk destroy && deactivate && rm -r .venv/ && cd ../..