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# Description: Example of .env file
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# Usage: Copy this file to .env and change the values
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# according to your needs
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# Do not commit .env file to git
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# Do not change .env.example file
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# You can set up a superuser's username and password
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# If there is no need for user management, set LANGFLOW_AUTO_LOGIN=true and delete LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD.
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LANGFLOW_AUTO_LOGIN=false
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LANGFLOW_SUPERUSER=langflow
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LANGFLOW_SUPERUSER_PASSWORD=654321
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LANGFLOW_SUPERUSER=admin
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LANGFLOW_SUPERUSER_PASSWORD=123456
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@ -4,41 +4,50 @@ Langflow on AWS では、 Langflow を AWS 上にデプロイする方法を学
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このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。
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作成するアプリケーションのアーキテクチャです。
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[AWS CDK](https://aws.amazon.com/cdk/?nc2=type_a) によって [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) を作成します。
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Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
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Fargate のタスクはフロントエンドとバックエンドに分かれており、サービス検出によって通信します。
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リソースをデプロイするだけであれば、上記の各サービスについて深い知識は必要ありません。
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# 環境構築とデプロイ方法
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1. [CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
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1. 以下のコマンドを実行します。
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```shell
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git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
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cd cloud9-setup-for-prototyping
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./bin/bootstrap
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```
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```shell
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git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
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cd cloud9-setup-for-prototyping
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./bin/bootstrap
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```
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1. `Done!` と表示されたら [Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/) から `cloud9-for-prototyping` を開きます。
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1. 以下のコマンドを実行します。
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```shell
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git clone -b aws-cdk-dev2 https://github.com/kazuki306/langflow
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cd langflow/scripts/aws
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cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
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npm ci
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cdk bootstrap
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cdk deploy
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```shell
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git clone -b aws-cdk-dev2 https://github.com/kazuki306/langflow
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cd langflow/scripts/aws
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cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
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npm ci
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cdk bootstrap
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cdk deploy
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```
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1. 表示される URL にアクセスします。
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```shell
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Outputs:
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LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
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```
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```shell
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Outputs:
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LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
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```
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1. サインイン画面でユーザー名とパスワードを入力します。`.env`ファイルでユーザー名とパスワードを設定していない場合、ユーザー名は`admin`、パスワードは`123456`で設定されます。
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# 環境の削除
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1. `Cloud9` で以下のコマンドを実行します。
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```shell
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cdk destroy
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```
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```shell
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cdk destroy
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bash delete-ecr.sh
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```
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1. [CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。
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@ -4,6 +4,12 @@ In this tutorial, you will learn how to deploy langflow on AWS using CDK.
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This tutorial assumes you have an AWS account and basic knowledge of AWS.
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The architecture of the application to be created: [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](https://aws.amazon.com/cdk/?nc2=type_a).
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The aurora's secrets are managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
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The Fargate task is divided into a frontend and a backend, which communicate through service discovery.
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If you just want to deploy resources, you do not need in-depth knowledge of each of the above services.
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# How to set up your environment and deploy langflow
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1. Open [CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1).
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1. Run the following commands in Cloudshell:
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@ -28,6 +34,8 @@ This tutorial assumes you have an AWS account and basic knowledge of AWS.
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Outputs:
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LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
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```
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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`.
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# Cleanup
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1. Run the following command in the Cloud9 terminal.
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BIN
scripts/aws/img/langflow-archi.png
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scripts/aws/img/langflow-archi.png
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scripts/aws/img/langflow-signin.png
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scripts/aws/img/langflow-signin.png
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