#This is a python code deployed as a lambda container, this is the support codebase for the ##For any information please contact us, you can find more details on our company's site: Ideahub

##Overview This is a demo for the video located here:

##Setup

pip3.9 install -r requirements.txt

###Building the docker image and pushing it to ECR

###Services provided ####Use the /buildAndDeploy.sh to build and push a new image to ECR< please make sure you change you profile and the ECR URI. ####Usage: ./buildAndDeploy.sh -a <numerical_aws_id> -r <aws_region eg. eu-central-1> -p <aws_profile eg. default> ####You can find the numerical_aws_id associated to your IAM by clicking on your name in the AWS GUI, it should be AccountId:, please put only the numbers in here (should be 12 digits)

./buildAndDeploy.sh -a <numerical_aws_id> -r eu-central-1 -p default

###Run locally as docker then the code will be located inside /var/task/src/ ###run it with the web server docker run -it --rm -p 9000:8080 idea1_lambdapy:latest

##this is how an S3 trigger event looks like:

{
  "Records": [
    {
      "s3": {
        "name": "lambdapy-test",
        "object": {
          "key": "test.json"
        }
      }
    }
  ]
}

curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations"      -d  '{"Records":[{"s3":{"name":"lambdapy-test","object":{"key":"test.json"}}}]}'

#To test remotely you can put a file on the s3 trigger folder aws s3 cp resources/test.json s3://lambdapy-test/new/ --profile YOUR_PROFILE