This is the unpackaged version of this function for further development.

• Run python3 -m venv mylambdaenv to create a virtual environment.
• Activate the environment: On Linux/macOS: source mylambdaenv/bin/activate On Windows: mylambdaenv\Scripts\activate

Inside the virtual environment, install the required libraries: pip install boto3 requests. Prepare Your Package:

• Deactivate the virtual environment (deactivate).
• Navigate to the virtual environment's lib directory (mylambdaenv/lib/python3.x/site-packages/).
• Copy all the contents from this folder (except your script) to a new folder, e.g., lambda_package.
• Place your main.py script inside the lambda_package folder.

• Zip the contents of lambda_package, not the folder itself.
  • On Linux/macOS: zip -r ../my_lambda_function.zip . (run inside lambda_package folder).

• Click on "Create function".
• Choose "Author from scratch".
• Enter the function name.
• Choose the runtime as Python 3.x.
• Set the role with the necessary permissions (for AWS Cost Explorer and Secrets Manager).
• Upload Your ZIP File:

In the "Function code" section, choose "Upload a .zip file" from the "Code entry type" dropdown. Upload the ZIP file you created.

Make sure the handler is set to main.lambda_handler (assuming your function is named lambda_handler in main.py).

• In the AWS Lambda console, navigate to your function.

• Click on "Test" near the top of the page.

• Configure a new test event – you can use the default template since your script does not rely on the event object.

• Invoke the Function:

• Click "Test" to invoke your Lambda function with the test event.

• Review the Results:

After the function execution, you will see the execution result and the function logs. Check for any errors and ensure that the function is executing as expected.