AWS Lambda driver for Efergy meters

This Serverless project deployes three distinct Lambda functions:

authorizerUser This function enable the authorizer capabilities of API Gateway. It queries the DynamoDB table to check if the API token in the http header request is valid or not.
worker This function polls the Efergy cloud platform to retrive the data for each plant added
webapi This function is a Flask application that make available the following API endpoints:
- [GET] /plants Return all the available plants
- [GET] /plants/{id} Return a particular plant
- [POST] /plants Create a new plant. The accepted body is
```
    {
        "api_key": Required,
        "plant_id": Required,
        "name": Required
    }
```
- [PUT] /plants/{id} Update a particular plant
- [DELETE] /plants/{id} Delete a particular plant

Configuration

Set-up one environment variables:
- AWS_PROFILE: the AWS CLI profile
Set-up the following secured variables in the AWS Parameter store:
- RABBIT_USER The rabbitmq username
- RABBIT_PASS The rabbitmq password
- RABBIT_HOST The rabbitmq hostname
Use sls plugin install -n serverless-python-requirements to install the requirements.txt serverless plugin.
Use sls plugin install serverless-wsgi to install the wsgi engine for the API endpoint management
Install and configure the AWS Lambda Layer by cloning this repo and following the instructions reported. Copy the ARN of the Lambda function in the layers section of the serverless.yml file:

N.B This is required to enable the API call caching function.
Run sls deploy

To test on local pc you have to:

Execute the DynamoDb dockerized local version with: docker run -it -p 8000:8000 amazon/dynamodb-local -jar DynamoDBLocal.jar -sharedDb
Execute the Wsgi server: sls wsgi serve
To test the worker and authorizerUserfunctions, run:

sls invoke local -f worker