Comments (2)
TLDR version:
In this execution example from aws website
sam local start-api
Initializing the lambda functions containers.
Local image is up-to-date
Using local image: public.ecr.aws/lambda/python:3.9-rapid-x86_64.
Mounting /Users/.../sam-app/.aws-sam/build/HelloWorldFunction as /var/task:ro,delegated, inside runtime container
Containers Initialization is done.
Mounting HelloWorldFunction at http://127.0.0.1:3000/hello [GET]
You can now browse to the above endpoints to invoke your functions. You do not need to restart/reload SAM CLI while working on your functions, changes will be reflected instantly/automatically. If you used sam build before running local commands, you will need to re-run sam build for the changes to be picked up. You only need to restart SAM CLI if you update your AWS SAM template
2023-04-12 14:41:05 WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on http://127.0.0.1:3000
Since the lambda is running in a container at time of execution (api call); what is the proper vscode configuration for the debugger to be notified that 'we mounted a lambda in a container for execution...and that it needs to break in typescript code. I know the js and map file are deployed correctly in `/var/task folder
from aws-sam-cli.
Hey @DawitAskabe, thanks for raising the issue. As you've mentioned, the Lambda Function is running within a container. So I don't think the "node" type would work. You can install AWS Toolkit in VS Code. It provides the "aws-sam" type in launch config so that you can use it to debug your SAM application. For details, please see https://docs.aws.amazon.com/toolkit-for-vscode/latest/userguide/serverless-apps.html.
Please let us know if you have further question.
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