Add procedure to deploy langflow on AWS (#1177)
This commit is contained in:
commit
b2d867e9aa
33 changed files with 5647 additions and 29 deletions
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.venv/
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.venv/
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**/aws
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20
cdk.Dockerfile
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20
cdk.Dockerfile
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FROM --platform=linux/amd64 python:3.10-slim
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WORKDIR /app
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# Install Poetry
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RUN apt-get update && apt-get install gcc g++ curl build-essential postgresql-server-dev-all -y
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RUN curl -sSL https://install.python-poetry.org | python3 -
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# # Add Poetry to PATH
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ENV PATH="${PATH}:/root/.local/bin"
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# # Copy the pyproject.toml and poetry.lock files
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COPY poetry.lock pyproject.toml ./
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# Copy the rest of the application codes
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COPY ./ ./
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# Install dependencies
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RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
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RUN poetry add pymysql==1.0.2
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CMD ["uvicorn", "--factory", "src.backend.langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug"]
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@ -1,28 +1,35 @@
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version: "3"
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networks:
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langflow:
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services:
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backend:
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build:
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context: ./
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dockerfile: ./dev.Dockerfile
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dockerfile: ./cdk.Dockerfile
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env_file:
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- .env
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ports:
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- "7860:7860"
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volumes:
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- ./:/app
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command: bash -c "uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload"
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networks:
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- langflow
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frontend:
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build:
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context: ./src/frontend
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dockerfile: ./dev.Dockerfile
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dockerfile: ./cdk.Dockerfile
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args:
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- BACKEND_URL=http://backend:7860
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environment:
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- VITE_PROXY_TARGET=http://backend:7860
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ports:
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- "3000:3000"
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- "8080:3000"
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volumes:
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- ./src/frontend/public:/home/node/app/public
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- ./src/frontend/src:/home/node/app/src
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- ./src/frontend/package.json:/home/node/app/package.json
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restart: on-failure
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networks:
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- langflow
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11
scripts/aws/.env.example
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11
scripts/aws/.env.example
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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=admin
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LANGFLOW_SUPERUSER_PASSWORD=123456
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9
scripts/aws/.gitignore
vendored
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9
scripts/aws/.gitignore
vendored
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*.js
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!jest.config.js
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*.d.ts
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node_modules
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# CDK asset staging directory
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.cdk.staging
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cdk.out
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!/lib
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6
scripts/aws/.npmignore
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6
scripts/aws/.npmignore
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*.ts
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!*.d.ts
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# CDK asset staging directory
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.cdk.staging
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cdk.out
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54
scripts/aws/README.ja.md
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54
scripts/aws/README.ja.md
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# Langflow on AWS
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**想定時間**: 30 分
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## 説明
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Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK) を用いて Langflow を AWS 上にデプロイする方法を学べます。
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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 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)、[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. [AWS 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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1. `Done!` と表示されたら [AWS 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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```
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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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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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bash delete-resources.sh
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```
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1. [AWS 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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50
scripts/aws/README.md
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50
scripts/aws/README.md
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# Deploy Langflow on AWS
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**Duraration**: 30 minutes
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## Introduction
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In this tutorial, you will learn how to deploy langflow on AWS using [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (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:
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[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.
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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 [AWS 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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```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. 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#/).
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1. Run the following command in the Cloud9 terminal.
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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 # Edit this file if you need environment settings
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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. Access the URL displayed.
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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. 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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```shell
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bash delete-resources.sh
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```
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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.
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21
scripts/aws/bin/cdk.ts
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21
scripts/aws/bin/cdk.ts
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#!/usr/bin/env node
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import 'source-map-support/register';
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import * as cdk from 'aws-cdk-lib';
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import { LangflowAppStack } from '../lib/cdk-stack';
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const app = new cdk.App();
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new LangflowAppStack(app, 'LangflowAppStack', {
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/* If you don't specify 'env', this stack will be environment-agnostic.
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* Account/Region-dependent features and context lookups will not work,
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* but a single synthesized template can be deployed anywhere. */
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/* Uncomment the next line to specialize this stack for the AWS Account
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* and Region that are implied by the current CLI configuration. */
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// env: { account: process.env.CDK_DEFAULT_ACCOUNT, region: process.env.CDK_DEFAULT_REGION },
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/* Uncomment the next line if you know exactly what Account and Region you
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* want to deploy the stack to. */
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// env: { account: '123456789012', region: 'us-east-1' },
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/* For more information, see https://docs.aws.amazon.com/cdk/latest/guide/environments.html */
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});
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55
scripts/aws/cdk.json
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55
scripts/aws/cdk.json
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{
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"app": "npx ts-node --prefer-ts-exts bin/cdk.ts",
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"watch": {
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"include": [
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"**"
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],
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"exclude": [
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"README.md",
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"cdk*.json",
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"**/*.d.ts",
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"**/*.js",
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"tsconfig.json",
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"package*.json",
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"yarn.lock",
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"node_modules",
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"test"
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]
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},
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"context": {
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"@aws-cdk/aws-lambda:recognizeLayerVersion": true,
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"@aws-cdk/core:checkSecretUsage": true,
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"@aws-cdk/core:target-partitions": [
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"aws",
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"aws-cn"
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],
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"@aws-cdk-containers/ecs-service-extensions:enableDefaultLogDriver": true,
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"@aws-cdk/aws-ec2:uniqueImdsv2TemplateName": true,
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"@aws-cdk/aws-ecs:arnFormatIncludesClusterName": true,
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"@aws-cdk/aws-iam:minimizePolicies": true,
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"@aws-cdk/core:validateSnapshotRemovalPolicy": true,
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"@aws-cdk/aws-codepipeline:crossAccountKeyAliasStackSafeResourceName": true,
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"@aws-cdk/aws-s3:createDefaultLoggingPolicy": true,
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"@aws-cdk/aws-sns-subscriptions:restrictSqsDescryption": true,
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"@aws-cdk/aws-apigateway:disableCloudWatchRole": true,
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"@aws-cdk/core:enablePartitionLiterals": true,
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"@aws-cdk/aws-events:eventsTargetQueueSameAccount": true,
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"@aws-cdk/aws-iam:standardizedServicePrincipals": true,
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"@aws-cdk/aws-ecs:disableExplicitDeploymentControllerForCircuitBreaker": true,
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"@aws-cdk/aws-iam:importedRoleStackSafeDefaultPolicyName": true,
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"@aws-cdk/aws-s3:serverAccessLogsUseBucketPolicy": true,
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"@aws-cdk/aws-route53-patters:useCertificate": true,
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"@aws-cdk/customresources:installLatestAwsSdkDefault": false,
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"@aws-cdk/aws-rds:databaseProxyUniqueResourceName": true,
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"@aws-cdk/aws-codedeploy:removeAlarmsFromDeploymentGroup": true,
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"@aws-cdk/aws-apigateway:authorizerChangeDeploymentLogicalId": true,
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"@aws-cdk/aws-ec2:launchTemplateDefaultUserData": true,
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"@aws-cdk/aws-secretsmanager:useAttachedSecretResourcePolicyForSecretTargetAttachments": true,
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"@aws-cdk/aws-redshift:columnId": true,
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"@aws-cdk/aws-stepfunctions-tasks:enableEmrServicePolicyV2": true,
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"@aws-cdk/aws-ec2:restrictDefaultSecurityGroup": true,
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"@aws-cdk/aws-apigateway:requestValidatorUniqueId": true,
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"@aws-cdk/aws-kms:aliasNameRef": true,
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"@aws-cdk/core:includePrefixInUniqueNameGeneration": true
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}
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}
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3
scripts/aws/delete-docker-images.sh
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3
scripts/aws/delete-docker-images.sh
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docker stop $(docker ps -aq)
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docker rm $(docker ps -aq)
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docker rmi -f $(docker images -aq)
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4
scripts/aws/delete-resources.sh
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4
scripts/aws/delete-resources.sh
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aws cloudformation delete-stack --stack-name LangflowAppStack
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aws ecr delete-repository --repository-name langflow-backend-repository --force
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aws ecr delete-repository --repository-name langflow-frontend-repository --force
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# aws ecr describe-repositories --output json | jq -re ".repositories[].repositoryName"
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BIN
scripts/aws/img/langflow-archi.png
Normal file
BIN
scripts/aws/img/langflow-archi.png
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After Width: | Height: | Size: 291 KiB |
BIN
scripts/aws/img/langflow-cfn.png
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BIN
scripts/aws/img/langflow-cfn.png
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After Width: | Height: | Size: 11 KiB |
BIN
scripts/aws/img/langflow-cloud9-en.png
Normal file
BIN
scripts/aws/img/langflow-cloud9-en.png
Normal file
Binary file not shown.
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After Width: | Height: | Size: 108 KiB |
BIN
scripts/aws/img/langflow-signin.png
Normal file
BIN
scripts/aws/img/langflow-signin.png
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Binary file not shown.
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After Width: | Height: | Size: 166 KiB |
8
scripts/aws/jest.config.js
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8
scripts/aws/jest.config.js
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module.exports = {
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testEnvironment: 'node',
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roots: ['<rootDir>/test'],
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testMatch: ['**/*.test.ts'],
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transform: {
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'^.+\\.tsx?$': 'ts-jest'
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||||
}
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};
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64
scripts/aws/lib/cdk-stack.ts
Normal file
64
scripts/aws/lib/cdk-stack.ts
Normal file
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import * as cdk from 'aws-cdk-lib';
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import { Construct } from 'constructs';
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import * as ecs from 'aws-cdk-lib/aws-ecs'
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import { Network, EcrRepository, FrontEndCluster, BackEndCluster, Rds, EcsIAM } from './construct';
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// import * as sqs from 'aws-cdk-lib/aws-sqs';
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export class LangflowAppStack extends cdk.Stack {
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constructor(scope: Construct, id: string, props?: cdk.StackProps) {
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super(scope, id, props);
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// Arch
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const arch = ecs.CpuArchitecture.X86_64
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// VPC
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const { vpc, cluster, alb, targetGroup, cloudmapNamespace, ecsFrontSG, ecsBackSG, dbSG, albSG, backendLogGroup, frontendLogGroup} = new Network(this, 'Network')
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// ECR
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||||
const { ecrFrontEndRepository,ecrBackEndRepository} = new EcrRepository(this, 'Ecr', {
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cloudmapNamespace:cloudmapNamespace,
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arch:arch
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})
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// RDS
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// VPCとSGのリソース情報をPropsとして引き渡す
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const { rdsCluster } = new Rds(this, 'Rds', { vpc, dbSG })
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// IAM
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const { frontendTaskRole, frontendTaskExecutionRole, backendTaskRole, backendTaskExecutionRole } = new EcsIAM(this, 'EcsIAM',{
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rdsCluster:rdsCluster
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})
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const backendService = new BackEndCluster(this, 'backend', {
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cluster:cluster,
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ecsBackSG:ecsBackSG,
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ecrBackEndRepository:ecrBackEndRepository,
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backendTaskRole:backendTaskRole,
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backendTaskExecutionRole:backendTaskExecutionRole,
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backendLogGroup:backendLogGroup,
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cloudmapNamespace:cloudmapNamespace,
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rdsCluster:rdsCluster,
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alb:alb,
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arch:arch
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})
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||||
backendService.node.addDependency(rdsCluster);
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||||
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||||
const frontendService = new FrontEndCluster(this, 'frontend',{
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||||
cluster:cluster,
|
||||
ecsFrontSG:ecsFrontSG,
|
||||
ecrFrontEndRepository:ecrFrontEndRepository,
|
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targetGroup: targetGroup,
|
||||
backendServiceName: backendService.backendServiceName,
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||||
frontendTaskRole: frontendTaskRole,
|
||||
frontendTaskExecutionRole: frontendTaskExecutionRole,
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||||
frontendLogGroup: frontendLogGroup,
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||||
cloudmapNamespace: cloudmapNamespace,
|
||||
arch:arch
|
||||
})
|
||||
frontendService.node.addDependency(backendService);
|
||||
|
||||
|
||||
// S3+CloudFront
|
||||
// new Web(this,'Cloudfront-S3')
|
||||
}
|
||||
}
|
||||
105
scripts/aws/lib/construct/backend.ts
Normal file
105
scripts/aws/lib/construct/backend.ts
Normal file
|
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|||
import { Duration } from 'aws-cdk-lib'
|
||||
import { Construct } from 'constructs';
|
||||
import {
|
||||
aws_ec2 as ec2,
|
||||
aws_ecs as ecs,
|
||||
aws_ecr as ecr,
|
||||
aws_rds as rds,
|
||||
aws_servicediscovery as servicediscovery,
|
||||
aws_iam as iam,
|
||||
aws_logs as logs,
|
||||
aws_elasticloadbalancingv2 as elb,
|
||||
} from 'aws-cdk-lib';
|
||||
import * as dotenv from 'dotenv';
|
||||
const path = require('path');
|
||||
dotenv.config({path: path.join(__dirname, "../../.env")});
|
||||
|
||||
interface BackEndProps {
|
||||
cluster: ecs.Cluster
|
||||
ecsBackSG:ec2.SecurityGroup
|
||||
ecrBackEndRepository:ecr.Repository
|
||||
backendTaskRole: iam.Role;
|
||||
backendTaskExecutionRole: iam.Role;
|
||||
backendLogGroup: logs.LogGroup;
|
||||
cloudmapNamespace: servicediscovery.PrivateDnsNamespace;
|
||||
rdsCluster:rds.DatabaseCluster
|
||||
alb:elb.IApplicationLoadBalancer
|
||||
arch:ecs.CpuArchitecture
|
||||
}
|
||||
|
||||
export class BackEndCluster extends Construct {
|
||||
readonly backendServiceName: string
|
||||
|
||||
constructor(scope: Construct, id: string, props:BackEndProps) {
|
||||
super(scope, id)
|
||||
const containerPort = 7860
|
||||
// Secrets ManagerからDB認証情報を取ってくる
|
||||
const secretsDB = props.rdsCluster.secret!;
|
||||
|
||||
// Create Backend Fargate Service
|
||||
const backendTaskDefinition = new ecs.FargateTaskDefinition(
|
||||
this,
|
||||
'BackEndTaskDef',
|
||||
{
|
||||
memoryLimitMiB: 3072,
|
||||
cpu: 1024,
|
||||
executionRole: props.backendTaskExecutionRole,
|
||||
runtimePlatform:{
|
||||
operatingSystemFamily: ecs.OperatingSystemFamily.LINUX,
|
||||
cpuArchitecture: props.arch,
|
||||
},
|
||||
taskRole: props.backendTaskRole,
|
||||
}
|
||||
);
|
||||
backendTaskDefinition.addContainer('backendContainer', {
|
||||
image: ecs.ContainerImage.fromEcrRepository(props.ecrBackEndRepository, "latest"),
|
||||
containerName:'langflow-back-container',
|
||||
logging: ecs.LogDriver.awsLogs({
|
||||
streamPrefix: 'my-stream',
|
||||
logGroup: props.backendLogGroup,
|
||||
}),
|
||||
environment:{
|
||||
// user:pass@endpoint:port/dbname
|
||||
// "LANGFLOW_DATABASE_URL" : `mysql+pymysql://${username}:${password}@${host}:3306/${dbname}`,
|
||||
// "LANGFLOW_DATABASE_URL" : "sqlite:///./langflow.db",
|
||||
// "LANGFLOW_LANGCHAIN_CACHE" : "SQLiteCache",
|
||||
// "LANGFLOW_AUTO_LOGIN" : "false",
|
||||
// "LANGFLOW_SUPERUSER" : "admin",
|
||||
// "LANGFLOW_SUPERUSER_PASSWORD" : "1234567"
|
||||
"LANGFLOW_AUTO_LOGIN" : process.env.LANGFLOW_AUTO_LOGIN ?? 'false',
|
||||
"LANGFLOW_SUPERUSER" : process.env.LANGFLOW_SUPERUSER ?? "admin",
|
||||
"LANGFLOW_SUPERUSER_PASSWORD" : process.env.LANGFLOW_SUPERUSER_PASSWORD ?? "123456"
|
||||
},
|
||||
portMappings: [
|
||||
{
|
||||
containerPort: containerPort,
|
||||
protocol: ecs.Protocol.TCP,
|
||||
},
|
||||
],
|
||||
// Secretの設定
|
||||
secrets: {
|
||||
"dbname": ecs.Secret.fromSecretsManager(secretsDB, 'dbname'),
|
||||
"username": ecs.Secret.fromSecretsManager(secretsDB, 'username'),
|
||||
"host": ecs.Secret.fromSecretsManager(secretsDB, 'host'),
|
||||
"password": ecs.Secret.fromSecretsManager(secretsDB, 'password'),
|
||||
},
|
||||
});
|
||||
this.backendServiceName = 'backend'
|
||||
const backendService = new ecs.FargateService(this, 'BackEndService', {
|
||||
cluster: props.cluster,
|
||||
serviceName: this.backendServiceName,
|
||||
taskDefinition: backendTaskDefinition,
|
||||
enableExecuteCommand: true,
|
||||
securityGroups: [props.ecsBackSG],
|
||||
cloudMapOptions: {
|
||||
cloudMapNamespace: props.cloudmapNamespace,
|
||||
containerPort: containerPort,
|
||||
dnsRecordType: servicediscovery.DnsRecordType.A,
|
||||
dnsTtl: Duration.seconds(10),
|
||||
name: this.backendServiceName
|
||||
},
|
||||
vpcSubnets: { subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS },
|
||||
});
|
||||
|
||||
}
|
||||
}
|
||||
65
scripts/aws/lib/construct/db.ts
Normal file
65
scripts/aws/lib/construct/db.ts
Normal file
|
|
@ -0,0 +1,65 @@
|
|||
import { Construct } from 'constructs';
|
||||
import * as ec2 from 'aws-cdk-lib/aws-ec2'
|
||||
import * as rds from "aws-cdk-lib/aws-rds";
|
||||
import * as cdk from 'aws-cdk-lib';
|
||||
|
||||
interface RdsProps {
|
||||
vpc: ec2.Vpc
|
||||
dbSG:ec2.SecurityGroup
|
||||
}
|
||||
|
||||
export class Rds extends Construct{
|
||||
readonly rdsCluster: rds.DatabaseCluster
|
||||
|
||||
constructor(scope: Construct, id:string, props: RdsProps){
|
||||
super(scope, id);
|
||||
|
||||
const {vpc, dbSG} = props
|
||||
const instanceType = ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE4_GRAVITON, ec2.InstanceSize.MEDIUM)
|
||||
|
||||
// RDSのパスワードを自動生成してSecrets Managerに格納
|
||||
const rdsCredentials = rds.Credentials.fromGeneratedSecret('db_user',{
|
||||
secretName: 'langflow-DbSecret',
|
||||
})
|
||||
|
||||
// DB クラスターのパラメータグループ作成
|
||||
const clusterParameterGroup = new rds.ParameterGroup(scope, 'ClusterParameterGroup',{
|
||||
engine: rds.DatabaseClusterEngine.auroraMysql({
|
||||
version: rds.AuroraMysqlEngineVersion.VER_3_02_0
|
||||
}),
|
||||
description: 'for-langflow',
|
||||
})
|
||||
clusterParameterGroup.bindToCluster({})
|
||||
|
||||
// DB インスタンスのパラメタグループ作成
|
||||
const instanceParameterGroup = new rds.ParameterGroup(scope, 'InstanceParameterGroup',{
|
||||
engine: rds.DatabaseClusterEngine.auroraMysql({
|
||||
version: rds.AuroraMysqlEngineVersion.VER_3_02_0,
|
||||
}),
|
||||
description: 'for-langflow',
|
||||
})
|
||||
instanceParameterGroup.bindToInstance({})
|
||||
|
||||
this.rdsCluster = new rds.DatabaseCluster(scope, 'LangflowDbCluster', {
|
||||
engine: rds.DatabaseClusterEngine.auroraMysql({
|
||||
version: rds.AuroraMysqlEngineVersion.VER_3_02_0,
|
||||
}),
|
||||
storageEncrypted: true,
|
||||
credentials: rdsCredentials,
|
||||
instanceIdentifierBase: 'langflow-instance',
|
||||
vpc:vpc,
|
||||
vpcSubnets:vpc.selectSubnets({
|
||||
subnetGroupName: 'langflow-Isolated',
|
||||
}),
|
||||
securityGroups:[dbSG],
|
||||
writer: rds.ClusterInstance.provisioned("WriterInstance", {
|
||||
instanceType: instanceType,
|
||||
enablePerformanceInsights: true,
|
||||
parameterGroup:instanceParameterGroup,
|
||||
}),
|
||||
// 2台目以降はreaders:で設定
|
||||
parameterGroup: clusterParameterGroup,
|
||||
defaultDatabaseName: 'langflow',
|
||||
})
|
||||
}
|
||||
}
|
||||
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Reference in a new issue