Setup Steps

Set up the dependencies and awscli(one time activity)

1. Install awscli and configure it https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html

2. Install the Python requirements into the packages directory (for opencv, numpy etc.) python3.13 -m pip install -t ./packages/ -r requirements.txt

Do the following to make changes to the Lambda code

1. Create the deployment package including both, dependencies and the lambda code (cd packages && zip -r ../lambda.zip .) && zip -g lambda.zip lambda_function.py
2. Upload the Lambda code to S3 aws s3 cp lambda.zip s3://xray-image-processing/image-processing-lambda-code/
3. Update the Lambda function to use the uploaded code

aws lambda update-function-code \
    --function-name xray-image-processing \
    --s3-bucket xray-image-processing \
    --s3-key lambda.zip

Other Lambda function configurations

1. Since I don't have access to create IAM roles (for Lambda execution), I used an existing role (Role name: sironaPanProcessing-role-kmm8sby4) in the Lambda function.
2. Increased the timeout to 10 seconds.
3. Generated a non-authenticated function url and added custom authentication through bearer token.
4. Generated an auth_token and set it in the environment variables (the same token needs to be passed when sending requests to the Lambda function)