Command Line

Ardy’s command line, by default, search a config.json at the same path that the command is running. But you can set a different path with the argument -p.

optional arguments:

-h, --help	show this help message and exit
-f CONFFILE, --conffile CONFFILE
	Name to the project config file
-p PROJECT, --project PROJECT
	Project path

Commands:

• deploy: Upload functions to AWS Lambda
• invoke: Invoke functions from AWS Lambda
• build: Create an artefact

If you want to deploy all your AWS Lambdas defined in your config.json file

ardy deploy

Or if you want to deploy a specific list of functions, you can deploy the AWS Lambdas with:

ardy deploy MyLambda MyOtherLambda

You can deploy only an environment:

ardy deploy MyLambda MyOtherLambda dev
ardy deploy MyLambda MyOtherLambda pre
ardy deploy MyLambda pro

Example Scenario

You have a project with this structure:

main-project
├ lambda-subproject
│ ├ lambda1
│ │ └ my_handler.py
│ ├ lambda2
│ │ └ main.py
│ ├ lambda3
│ │ └ main.py
└ config.json

The path of your project is /var/www/main-project/lambda-subproject and a config.json like that:

{
  "version": 1,
  "aws_credentials":{
    "region": "eu-west-1"
  },
  "deploy": {
    "deploy_method": "FILE"
  },
  "Role": "arn:aws:iam::01234567890:role/service-role/LambdaTest",
  "Runtime": "python3.6",
  "lambdas": [
    {
      "FunctionName": "MyLambda",
      "Handler": "your-project.lambda1.my_handler.my_handler"
    },
    {
      "FunctionName": "MyOtherLambda",
      "Handler": "your-project.lambda2.main.main.my_handler"
    }
  ]
}

You’re in /var/www/main-project/, and want to deploy MyLambda:

ardy -p lambda-subproject deploy MyLambda

But, if you’re in /home/Caerbannog_user/, and want to deploy MyLambda:

ardy -f /var/www/main-project/config.json -p /var/www/main-project/lambda-subproject deploy MyLambda