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Fix bug in deployment procedure in AWS CDK and support HTTPS (#1491)

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* add cloudfront

* modify: healthcheck disable

* modify: health check option

* modify nodejsbuild

* add nodejs version

* endpoint configuration

* set axios url

* remote console.log VITE_PROXY_TARGET

* create alb stack

* add alb to origin

* alb build success

* remote baseURL setting

* add redirect

* change responseHttpStatus to 200

* modify output and readme

* modify architecture

* add health check path route to cloudfront routing

* modified: c9 env name in deploy langflow section

* modified : package dependency for pymysql

* modified: deploy procedure

* modified: deploy procedure (ja)

---------

Co-authored-by: nsxshota <nsxshota@amazon.co.jp>
Co-authored-by: ymkazuki <ymkazuki@amazon.co.jp>
Co-authored-by: Shota Nakamoto <53632932+nsy0328@users.noreply.github.com>
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kazuki306 2024-03-04 20:50:51 +09:00 • committed by GitHub
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18
scripts/aws/README.md
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@ -9,11 +9,9 @@ This tutorial assumes you have an AWS account and basic knowledge of AWS.
The architecture of the application to be created:
![langflow-archi](./img/langflow-archi.png)
[Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls), [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) are created by AWS CDK.
The aurora's secrets are managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
The Fargate task is divided into a frontend and a backend, which communicate through service discovery.
If you just want to deploy resources, you do not need in-depth knowledge of each of the above services.
Langflow is deployed using AWS CDK. The application is distributed via [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls), which has two origins: the first is [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3) for serving a static website, and the second is an [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) for communicating with the backend. [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a), where FastAPI runs and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a), the database, are created behind the ALB.
Fargate uses a Docker image stored in [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
# How to set up your environment and deploy langflow
@ -22,13 +20,14 @@ If you just want to deploy resources, you do not need in-depth knowledge of each
```shell
git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
cd cloud9-setup-for-prototyping
cat params.json | jq '.name |= "c9-for-langflow"'
./bin/bootstrap
```
1. When you see `Done!` in Cloudshell, open `cloud9-for-prototyping` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
1. When you see `Done!` in Cloudshell, open `c9-for-langflow` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
![make-cloud9](./img/langflow-cloud9-en.png)
1. Run the following command in the Cloud9 terminal.
```shell
git clone -b aws-cdk https://github.com/logspace-ai/langflow.git
git clone https://github.com/logspace-ai/langflow.git
cd langflow/scripts/aws
cp .env.example .env # Edit this file if you need environment settings
npm ci
@ -38,7 +37,7 @@ If you just want to deploy resources, you do not need in-depth knowledge of each
1. Access the URL displayed.
```shell
Outputs:
LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
```
1. Enter your user name and password to sign in. If you have not set a user name and password in your `.env` file, the user name will be set to `admin` and the password to `123456`.
![signin-langflow](./img/langflow-signin.png)
@ -49,5 +48,6 @@ If you just want to deploy resources, you do not need in-depth knowledge of each
```shell
bash delete-resources.sh
```
1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-cloud9-for-prototyping-XXXX` and delete it.
1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-c9-for-langflow-XXXX` and delete it.
![delete-cfn](./img/langflow-cfn.png)
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