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OpenLEADR

This project demostrate how to deply OpendLEADR server on the EC2 instance of AWS through Terraform.


Install & Step

Installations

First, please make sure the Docker server is installed and running on your local machine. If you don't have the docker installed, please install the Docker first.

Second,download the source code from this github respository.

git clone https://github.com/slacgismo/openADR-nodemon

Third, create and activate the python virtunal environment.(User python 3.8+ version)

python3 -m venv venv
soruce ./venv/bin/activate

Intall the python dependencies.

pip install --upgrade pip
pip install -r docker/requirements.txt

Local Test

Test the OpenADR server and cline in your local machine

Activate the OpendADR server through docker-compose

docker-compose up

If you see the output of your terminal as follow, the server is activate and running successfully.

vtn_1  | INFO:asyncio:<Server sockets=(<asyncio.TransportSocket fd=6, family=2, type=1, proto=6, laddr=('0.0.0.0', 8080)>,)> is serving

Activate the OpendADR client by the following command

python testven.py

Deploy on AWS through Terraform

Set up the AWS credentials

Please ask the project administrator to set up the correct AWS credentials. This project is relied on openadr-devops-tfstate bucket on S3 and a DynamoDB openadr-devops-tf-state-lock table to track the deployment state.

You can use aws configure or aws-vault to set up the AWS credentials

Note : Please use the Terraform commmand to manage all the resources that created by the Terraform command. Modify or destroy the resources manually could cause serious issues of Terraform states

Setup the Terraform environment

In order to keep the Terraform enviroment in the same version, this project actviate the Terraform in a docker environment. Please check the deploy/docker-compose.yml to see the detail.

Please follow the steps to activate the Terraform

Terraform workspace

Create the Terraform dev workspace. This will create a -dev tag on all the colud resources. (This is optional)

make create-tf-workspace-dev

List all the Terraform workspaces.

make list-tf-workspace

Select the Terraform dev workspace.

make tf-workspace-dev
Terraform Init

This is a requirement step every time you change the Terrafrom code.

make tf-init
Terraform Format

This is a optinal setp to fromat the your Terraform code.

make tf-fmt
Terraform validation

After you change your terrafrom code, you can use this command to validate the code.

make tf-validate
Terraform plan

Before you really create and provision your AWS cloud resources, you can use this command to simluate the deployment in case of any issue.

make tf-paln
Terraform apply

You can use this command to create and provision the AWS resources.

make tf-apply

After you execute make tf-apply, the terraform will print out all the infomation of resources. Then it will ask you again to confirm the execution as follow.

Do you want to perform these actions in workspace "dev"?
  Terraform will perform the actions described above.
  Only 'yes' will be accepted to approve.

  Enter a value:

Type yes to execute command.

Public IP of The EC2

After the Terrafrom apply command completed, the terminal prints out the public ip of the EC2 instance.

Apply complete! Resources: 9 added, 0 changed, 0 destroyed.

Outputs:

ec2_host = "ec2-18-217-184-xxx.us-east-2.compute.amazonaws.com"

The public address of EC2 instance is 18.217.184.xxx

Update the clinet IP

Use any code editor such as VSCode or nano to edit the textven.py file. When you do the local test, the vtn_url='http://18.217.184.115:8080/OpenADR2/Simple/2.0b'. When you do the AWS deploy test, the vtn_url='http://18.217.184.xxx:8080/OpenADR2/Simple/2.0b'.

After the EC2 instance is deployed on AWS, we need to wait couple minutes until the VTN server is ready. Then we activate the VEN client in the local machine by following command.

python testven.py
Terraform destroy

You can use this command to destroy the AWS resources that Terraform creatred.

make tf-destroy

Sytem Diagram

System diagram

reference

https://github.com/robogeek/openleadr-docker-setup/blob/main/testven.py https://github.com/robogeek/openleadr-docker-setup/blob/main/docker-compose.yml https://techsparx.com/energy-system/openadr/openleadr-docker.html 041414866712.dkr.ecr.us-east-2.amazonaws.com/openleadr-vtn:latest https://levelup.gitconnected.com/deploy-a-dockerized-fastapi-application-to-aws-cc757830ba1b https://jonathanserrano.medium.com/deploy-a-fastapi-app-to-production-using-docker-and-aws-ecr-928e17312445

timestream

https://betterprogramming.pub/deep-dive-into-amazon-timestream-data-ingestion-in-python-18c6c09accd https://towardsdatascience.com/amazon-timestream-is-finally-released-is-it-worth-your-time-e6b7eff10867

terraform lambda

https://www.litiverse.com/posts/deploying-docker-image-lambda https://hands-on.cloud/terraform-docker-lambda-example/ https://www.bogotobogo.com/DevOps/AWS/aws-API-Gateway-Lambda-Terraform-with-ECR-Container.php https://www.youtube.com/watch?v=50rBFasH3OE&t=1051s

Check aws cloud init log

Under the ec2 instance, we can use the following command to check the log of EC2 instance.

set up the terraform backend dynamically

https://brendanthompson.com/posts/2021/10/dynamic-terraform-backend-configuration terraform init -backend-config=backend.hcl

terraform use environment variable

https://support.hashicorp.com/hc/en-us/articles/4547786359571-Reading-and-using-environment-variables-in-Terraform-runs

sudo cat /var/log/cloud-init-output.log

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