isabella232 / swnw001

Serverless Framework with Python

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Example project using the Serverless Framework, Python, AWS Lambda and AWS IoT Core Wireless (LoRaWAN) to interface between the LoRa Edge(TM) Tracker Reference Design and the LoRa Cloud. This code utilizes the LoRa Cloud API to first convert the ROSE-encoded stream into data sources. These data sources include WiFi and GNSS scans which can be passed back to LoRa Cloud for position computation. While this example is developed for AWS Lambda using AWS IoT Core Wireless functions, it could be simply adapted to other platforms or environments as required.

For more information please see: https://lora-developers.semtech.com/solutions/lora-edge-asset-management/

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Deployment

Secrets

Secrets are injected into your functions using environment variables. By defining variables in the provider section of the serverless.yml you add them to the environment of the deployed function. From there, you can reference them in your functions as well.

A specific variable that will be required is the token used to access the Device and Application Services at LoraCloud.com.

provider:
  environment:
    DAS_KEY: ${env:DAS_KEY}

to your serverless.yml, and then you can add DAS_KEY to your environment variables to be deployed with your function.

Setting Up AWS

*. Create AWS credentials including the following IAM policies: AWSLambdaFullAccess, AmazonAPIGatewayAdministrator, AWSCloudFormationFullAccess, and iotwireless:SendDataToWirelessDevice. For logging: logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents .