Merge remote-tracking branch 'origin/zustand/io/migration' into globalVariables

This commit is contained in:
Lucas Oliveira 2024-03-22 16:21:02 +01:00
commit 0f867dc485
46 changed files with 1157 additions and 485 deletions

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@ -73,12 +73,12 @@ LANGFLOW_SUPERUSER_PASSWORD=
# STORE_URL
# Example: LANGFLOW_STORE_URL=https://api.langflow.store
LANGFLOW_STORE_URL=
# LANGFLOW_STORE_URL=
# DOWNLOAD_WEBHOOK_URL
#
LANGFLOW_DOWNLOAD_WEBHOOK_URL=
# LANGFLOW_DOWNLOAD_WEBHOOK_URL=
# LIKE_WEBHOOK_URL
#
LANGFLOW_LIKE_WEBHOOK_URL=
# LANGFLOW_LIKE_WEBHOOK_URL=

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@ -15,6 +15,7 @@ COPY ./ ./
# Install dependencies
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
RUN poetry add pymysql==1.0.2
RUN poetry add botocore
RUN poetry add pymysql
CMD ["sh", "./container-cmd-cdk.sh"]

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@ -1,3 +1,5 @@
export LANGFLOW_DATABASE_URL="mysql+pymysql://${username}:${password}@${host}:3306/${dbname}"
# echo $LANGFLOW_DATABASE_URL
uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug
uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug
# python -m langflow run --host 0.0.0.0 --port 7860

17
poetry.lock generated
View file

@ -6976,6 +6976,21 @@ files = [
[package.dependencies]
six = ">=1.5"
[[package]]
name = "python-docx"
version = "1.1.0"
description = "Create, read, and update Microsoft Word .docx files."
optional = false
python-versions = ">=3.7"
files = [
{file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"},
{file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"},
]
[package.dependencies]
lxml = ">=3.1.0"
typing-extensions = "*"
[[package]]
name = "python-dotenv"
version = "1.0.0"
@ -9969,4 +9984,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "13fbf814f41f22cddd661bce5c37abcd36b50fad392d70271597c358694886bc"
content-hash = "dedb98bf70db438c28d18a8289a9bb61c79d4ff983b96b7f1d52e11b9c32900b"

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@ -108,6 +108,7 @@ unstructured = { extras = ["md"], version = "^0.12.4" }
dspy-ai = "^2.4.0"
crewai = "^0.22.5"
langchain-anthropic = "^0.1.4"
python-docx = "^1.1.0"
[tool.poetry.group.dev.dependencies]
pytest-asyncio = "^0.23.1"

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@ -8,10 +8,9 @@ Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk
作成するアプリケーションのアーキテクチャです。
![langflow-archi](./img/langflow-archi.png)
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。
AWS CDK によって Langflow のアプリケーションをデプロイします。アプリケーションは [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls) を介して配信されます。CloudFront は 2 つのオリジンを有しています。1 つ目は静的な Web サイトを配信するための [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3)、2 つ目は バックエンドと通信するための [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) です。ALB の背後には FastAPI が動作する [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) 、データベースの [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) が作成されます。
Fargate は [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR) に保存された Docker イメージを使用します。
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。
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。
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。
# 環境構築とデプロイ方法
1. [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
@ -28,7 +27,7 @@ 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
1. 以下のコマンドを実行します。
```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 # 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。
npm ci
@ -38,7 +37,7 @@ 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
1. 表示される URL にアクセスします。
```shell
Outputs:
LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
```
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。
![make-cloud9](./img/langflow-signin.png)

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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)
s

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@ -4,6 +4,7 @@ import * as cdk from 'aws-cdk-lib';
import { LangflowAppStack } from '../lib/cdk-stack';
const app = new cdk.App();
new LangflowAppStack(app, 'LangflowAppStack', {
/* If you don't specify 'env', this stack will be environment-agnostic.
* Account/Region-dependent features and context lookups will not work,

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@ -17,6 +17,8 @@
]
},
"context": {
"ragEnabled": false,
"kendraIndexArn": null,
"@aws-cdk/aws-lambda:recognizeLayerVersion": true,
"@aws-cdk/core:checkSecretUsage": true,
"@aws-cdk/core:target-partitions": [

View file

@ -1,4 +1,4 @@
aws cloudformation delete-stack --stack-name LangflowAppStack
# aws cloudformation delete-stack --stack-name LangflowAppStack
aws ecr delete-repository --repository-name langflow-backend-repository --force
aws ecr delete-repository --repository-name langflow-frontend-repository --force
# aws ecr delete-repository --repository-name langflow-frontend-repository --force
# aws ecr describe-repositories --output json | jq -re ".repositories[].repositoryName"

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@ -2,21 +2,38 @@ import * as cdk from 'aws-cdk-lib';
import { Construct } from 'constructs';
import * as ecs from 'aws-cdk-lib/aws-ecs'
import { Network, EcrRepository, FrontEndCluster, BackEndCluster, Rds, EcsIAM } from './construct';
import { Network, EcrRepository, Web, BackEndCluster, Rds, EcsIAM, Rag} from './construct';
// import * as sqs from 'aws-cdk-lib/aws-sqs';
const errorMessageForBooleanContext = (key: string) => {
return `There was an error setting $ {key}. Possible causes are as follows.
- Trying to set it with the -c option instead of changing cdk.json
- cdk.json is set to a value that is not a boolean (e.g. true double quotes are not required)
- no items in cdk.json (unset) `;
};
export class LangflowAppStack extends cdk.Stack {
constructor(scope: Construct, id: string, props?: cdk.StackProps) {
super(scope, id, props);
// Kendra Enable
const ragEnabled: boolean = this.node.tryGetContext('ragEnabled')!;
if (typeof ragEnabled !== 'boolean') {
throw new Error(errorMessageForBooleanContext('ragEnabled'));
}
if (ragEnabled) {
new Rag(this, 'Rag', {
});
}
// Arch
const arch = ecs.CpuArchitecture.X86_64
// VPC
const { vpc, cluster, alb, targetGroup, cloudmapNamespace, ecsFrontSG, ecsBackSG, dbSG, albSG, backendLogGroup, frontendLogGroup} = new Network(this, 'Network')
const { vpc, cluster, ecsBackSG, dbSG, backendLogGroup, alb, albTG, albSG} = new Network(this, 'Network')
// ECR
const { ecrFrontEndRepository,ecrBackEndRepository} = new EcrRepository(this, 'Ecr', {
cloudmapNamespace:cloudmapNamespace,
const { ecrBackEndRepository } = new EcrRepository(this, 'Ecr', {
arch:arch
})
@ -25,7 +42,7 @@ export class LangflowAppStack extends cdk.Stack {
const { rdsCluster } = new Rds(this, 'Rds', { vpc, dbSG })
// IAM
const { frontendTaskRole, frontendTaskExecutionRole, backendTaskRole, backendTaskExecutionRole } = new EcsIAM(this, 'EcsIAM',{
const { backendTaskRole, backendTaskExecutionRole } = new EcsIAM(this, 'EcsIAM',{
rdsCluster:rdsCluster
})
@ -36,29 +53,18 @@ export class LangflowAppStack extends cdk.Stack {
backendTaskRole:backendTaskRole,
backendTaskExecutionRole:backendTaskExecutionRole,
backendLogGroup:backendLogGroup,
cloudmapNamespace:cloudmapNamespace,
rdsCluster:rdsCluster,
alb:alb,
arch:arch
arch:arch,
albTG:albTG
})
backendService.node.addDependency(rdsCluster);
const frontendService = new FrontEndCluster(this, 'frontend',{
const frontendService = new Web(this, 'frontend',{
cluster:cluster,
ecsFrontSG:ecsFrontSG,
ecrFrontEndRepository:ecrFrontEndRepository,
targetGroup: targetGroup,
backendServiceName: backendService.backendServiceName,
frontendTaskRole: frontendTaskRole,
frontendTaskExecutionRole: frontendTaskExecutionRole,
frontendLogGroup: frontendLogGroup,
cloudmapNamespace: cloudmapNamespace,
arch:arch
alb:alb,
albSG:albSG
})
frontendService.node.addDependency(backendService);
// S3+CloudFront
// new Web(this,'Cloudfront-S3')
}
}

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@ -21,18 +21,17 @@ interface BackEndProps {
backendTaskRole: iam.Role;
backendTaskExecutionRole: iam.Role;
backendLogGroup: logs.LogGroup;
cloudmapNamespace: servicediscovery.PrivateDnsNamespace;
rdsCluster:rds.DatabaseCluster
alb:elb.IApplicationLoadBalancer
arch:ecs.CpuArchitecture
albTG: elb.ApplicationTargetGroup;
}
export class BackEndCluster extends Construct {
readonly backendServiceName: string
constructor(scope: Construct, id: string, props:BackEndProps) {
super(scope, id)
const containerPort = 7860
const backendServiceName = 'backend'
const backendServicePort = 7860
// Secrets ManagerからDB認証情報を取ってくる
const secretsDB = props.rdsCluster.secret!;
@ -59,20 +58,13 @@ export class BackEndCluster extends Construct {
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,
containerPort: backendServicePort,
protocol: ecs.Protocol.TCP,
},
],
@ -84,22 +76,15 @@ export class BackEndCluster extends Construct {
"password": ecs.Secret.fromSecretsManager(secretsDB, 'password'),
},
});
this.backendServiceName = 'backend'
const backendService = new ecs.FargateService(this, 'BackEndService', {
cluster: props.cluster,
serviceName: this.backendServiceName,
serviceName: 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 },
});
props.albTG.addTarget(backendService);
}
}

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@ -9,12 +9,10 @@ import { Construct } from 'constructs'
interface ECRProps {
cloudmapNamespace: servicediscovery.PrivateDnsNamespace;
arch:ecs.CpuArchitecture;
}
export class EcrRepository extends Construct {
readonly ecrFrontEndRepository: ecr.Repository
readonly ecrBackEndRepository: ecr.Repository
constructor(scope: Construct, id: string, props: ECRProps) {
@ -22,7 +20,6 @@ export class EcrRepository extends Construct {
const imagePlatform = props.arch == ecs.CpuArchitecture.ARM64 ? Platform.LINUX_ARM64 : Platform.LINUX_AMD64
const backendPath = path.join(__dirname, "../../../../../", "langflow")
const frontendPath = path.join(__dirname, "../../../../src/", "frontend")
const excludeDir = ['node_modules','.git', 'cdk.out']
const LifecycleRule = {
tagStatus: ecr.TagStatus.ANY,
@ -30,31 +27,16 @@ export class EcrRepository extends Construct {
maxImageCount: 30,
}
// リポジトリ作成
this.ecrFrontEndRepository = new ecr.Repository(scope, 'LangflowFrontEndRepository', {
repositoryName: 'langflow-frontend-repository',
removalPolicy: RemovalPolicy.RETAIN,
imageScanOnPush: true,
})
// Backend ECR リポジトリ作成
this.ecrBackEndRepository = new ecr.Repository(scope, 'LangflowBackEndRepository', {
repositoryName: 'langflow-backend-repository',
removalPolicy: RemovalPolicy.RETAIN,
imageScanOnPush: true,
})
// LifecycleRule作成
this.ecrFrontEndRepository.addLifecycleRule(LifecycleRule)
this.ecrBackEndRepository.addLifecycleRule(LifecycleRule)
// Create Docker Image Asset
const dockerFrontEndImageAsset = new DockerImageAsset(this, "DockerFrontEndImageAsset", {
directory: frontendPath,
file:"cdk.Dockerfile",
buildArgs:{
"BACKEND_URL":`http://backend.${props.cloudmapNamespace.namespaceName}:7860`
},
exclude: excludeDir,
platform: imagePlatform,
});
const dockerBackEndImageAsset = new DockerImageAsset(this, "DockerBackEndImageAsset", {
directory: backendPath,
file:"cdk.Dockerfile",
@ -62,12 +44,6 @@ export class EcrRepository extends Construct {
platform: imagePlatform,
});
// Deploy Docker Image to ECR Repository
new ecrdeploy.ECRDeployment(this, "DeployFrontEndImage", {
src: new ecrdeploy.DockerImageName(dockerFrontEndImageAsset.imageUri),
dest: new ecrdeploy.DockerImageName(this.ecrFrontEndRepository.repositoryUri)
});
// Deploy Docker Image to ECR Repository
new ecrdeploy.ECRDeployment(this, "DeployBackEndImage", {
src: new ecrdeploy.DockerImageName(dockerBackEndImageAsset.imageUri),

View file

@ -1,117 +1,141 @@
import { Duration } from 'aws-cdk-lib'
import { Construct } from 'constructs'
import { Stack, Duration, RemovalPolicy, CfnOutput } from 'aws-cdk-lib';
import { Construct } from 'constructs';
import {
aws_ec2 as ec2,
aws_ecs as ecs,
aws_ecr as ecr,
aws_servicediscovery as servicediscovery,
aws_s3 as s3,
aws_iam as iam,
aws_logs as logs,
aws_elasticloadbalancingv2 as elb,
aws_cloudfront as cloudfront,
aws_cloudfront_origins as origins,
aws_s3_deployment as s3_deployment
} from 'aws-cdk-lib';
import { CpuArchitecture } from 'aws-cdk-lib/aws-ecs';
import { CloudFrontToS3 } from '@aws-solutions-constructs/aws-cloudfront-s3';
import { CfnDistribution, Distribution } from 'aws-cdk-lib/aws-cloudfront';
import { NodejsBuild } from 'deploy-time-build';
interface FrontEndProps {
interface WebProps {
cluster:ecs.Cluster
ecsFrontSG:ec2.SecurityGroup
ecrFrontEndRepository:ecr.Repository
targetGroup: elb.ApplicationTargetGroup;
backendServiceName: string;
frontendTaskRole: iam.Role;
frontendTaskExecutionRole: iam.Role;
frontendLogGroup: logs.LogGroup;
cloudmapNamespace: servicediscovery.PrivateDnsNamespace;
arch:ecs.CpuArchitecture;
alb:elb.IApplicationLoadBalancer;
albSG:ec2.SecurityGroup;
}
export class FrontEndCluster extends Construct {
constructor(scope: Construct, id: string, props:FrontEndProps) {
export class Web extends Construct {
readonly distribution;
constructor(scope: Construct, id: string, props:WebProps) {
super(scope, id)
const commonBucketProps: s3.BucketProps = {
blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
encryption: s3.BucketEncryption.S3_MANAGED,
autoDeleteObjects: true,
removalPolicy: RemovalPolicy.DESTROY,
objectOwnership: s3.ObjectOwnership.OBJECT_WRITER,
enforceSSL: true,
};
const containerPort = 3000
const frontendTaskDefinition = new ecs.FargateTaskDefinition(
this,
'FrontendTaskDef',
{
memoryLimitMiB: 3072,
cpu: 1024,
executionRole: props.frontendTaskExecutionRole,
runtimePlatform:{
operatingSystemFamily: ecs.OperatingSystemFamily.LINUX,
cpuArchitecture: props.arch,
},
taskRole: props.frontendTaskRole,
}
// CDKにて 静的WebサイトをホストするためのAmazon S3バケットを作成
const websiteBucket = new s3.Bucket(this, 'LangflowWebsiteBucket', commonBucketProps);
const originAccessIdentity = new cloudfront.OriginAccessIdentity(
this,
'OriginAccessIdentity',
{
comment: 'langflow-distribution-originAccessIdentity',
}
);
const frontendServiceName = 'frontend'
frontendTaskDefinition.addContainer('frontendContainer', {
image: ecs.ContainerImage.fromEcrRepository(props.ecrFrontEndRepository, "latest"),
containerName:'langflow-front-container',
environment: {
BACKEND_SERVICE_NAME: props.backendServiceName,
BACKEND_URL: `http://${props.backendServiceName}.${props.cloudmapNamespace.namespaceName}:7860/`,
VITE_PROXY_TARGET: `http://${props.backendServiceName}.${props.cloudmapNamespace.namespaceName}:7860/`,
},
logging: ecs.LogDriver.awsLogs({
streamPrefix: 'my-stream',
logGroup: props.frontendLogGroup,
}),
portMappings: [
{
name:frontendServiceName,
containerPort: containerPort,
protocol: ecs.Protocol.TCP,
appProtocol:ecs.AppProtocol.http,
},
],
const webSiteBucketPolicyStatement = new iam.PolicyStatement({
actions: ['s3:GetObject'],
effect: iam.Effect.ALLOW,
principals: [
new iam.CanonicalUserPrincipal(
originAccessIdentity.cloudFrontOriginAccessIdentityS3CanonicalUserId
),
],
resources: [`${websiteBucket.bucketArn}/*`],
});
const frontendService = new ecs.FargateService(
this,
'FrontendService',
{
serviceName: frontendServiceName,
cluster: props.cluster,
desiredCount: 1,
assignPublicIp: false,
taskDefinition: frontendTaskDefinition,
enableExecuteCommand: true,
securityGroups: [props.ecsFrontSG],
cloudMapOptions: {
cloudMapNamespace: props.cloudmapNamespace,
containerPort: containerPort,
dnsRecordType: servicediscovery.DnsRecordType.A,
dnsTtl: Duration.seconds(10),
name: frontendServiceName
},
healthCheckGracePeriod: Duration.seconds(1000),
}
);
props.targetGroup.addTarget(frontendService);
websiteBucket.addToResourcePolicy(webSiteBucketPolicyStatement);
websiteBucket.grantRead(originAccessIdentity);
// // Create ALB and ECS Fargate Service
// const frontService = new ecs_patterns.ApplicationLoadBalancedFargateService(
// this,
// "FrontEndService",
// {
// cluster: cluster,
// serviceName: 'langflow-frontend-service',
// cpu: 256,
// memoryLimitMiB: 512,
// listenerPort: 80,
// assignPublicIp: true, // Public facing - ALB
// taskSubnets: { subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS },
// securityGroups:[ecsFrontSG],
// taskImageOptions: {
// family: 'langflow-taskdef',
// containerName: 'langflow-front-container',
// image: ecs.ContainerImage.fromEcrRepository(ecrFrontEndRepository, "latest"),
// containerPort: 3000, // L2なので、TargetGroupのportが3000で設定されるはず
// },
// loadBalancer:alb,
// openListener:false,
// }
// );
const s3SpaOrigin = new origins.S3Origin(websiteBucket);
const ApiSpaOrigin = new origins.LoadBalancerV2Origin(props.alb,{
protocolPolicy: cloudfront.OriginProtocolPolicy.HTTP_ONLY
});
const albBehaviorOptions = {
origin: ApiSpaOrigin,
allowedMethods: cloudfront.AllowedMethods.ALLOW_ALL,
viewerProtocolPolicy: cloudfront.ViewerProtocolPolicy.ALLOW_ALL,
cachePolicy: cloudfront.CachePolicy.CACHING_DISABLED,
originRequestPolicy: cloudfront.OriginRequestPolicy.ALL_VIEWER_EXCEPT_HOST_HEADER
}
const cloudFrontWebDistribution = new cloudfront.Distribution(this, 'distribution', {
comment: 'langflow-distribution',
defaultRootObject: 'index.html',
errorResponses: [
{
httpStatus: 403,
responseHttpStatus: 200,
responsePagePath: '/index.html',
},
{
httpStatus: 404,
responseHttpStatus: 200,
responsePagePath: '/index.html',
},
],
defaultBehavior: { origin: s3SpaOrigin },
additionalBehaviors: {
'/api/v1/*': albBehaviorOptions,
'/health' : albBehaviorOptions,
},
enableLogging: true, // ログ出力設定
logBucket: new s3.Bucket(this, 'LogBucket',commonBucketProps),
logFilePrefix: 'distribution-access-logs/',
logIncludesCookies: true,
});
this.distribution = cloudFrontWebDistribution;
new NodejsBuild(this, 'BuildFrontEnd', {
assets: [
{
path: '../../src/frontend',
exclude: [
'.git',
'.github',
'.gitignore',
'.prettierignore',
'build',
'node_modules'
],
},
],
nodejsVersion:20,
destinationBucket: websiteBucket,
distribution: cloudFrontWebDistribution,
outputSourceDirectory: 'build',
buildCommands: ['npm install', 'npm run build'],
buildEnvironment: {
// VITE_AXIOS_BASE_URL: `https://${this.distribution.domainName}`
},
});
// distribution から backendへのinbound 許可
const alb_listen_port=80
props.albSG.addIngressRule(ec2.Peer.anyIpv4(), ec2.Port.tcp(alb_listen_port))
const alb_listen_port_443=443
props.albSG.addIngressRule(ec2.Peer.anyIpv4(), ec2.Port.tcp(alb_listen_port_443))
new CfnOutput(this, 'URL', {
value: `https://${this.distribution.domainName}`,
});
}
}

View file

@ -10,8 +10,6 @@ interface IAMProps {
}
export class EcsIAM extends Construct {
readonly frontendTaskRole: iam.Role;
readonly frontendTaskExecutionRole: iam.Role;
readonly backendTaskRole: iam.Role;
readonly backendTaskExecutionRole: iam.Role;
@ -58,12 +56,6 @@ export class EcsIAM extends Construct {
})],
})
// FrontEnd Task Role
this.frontendTaskRole = new iam.Role(this, 'FrontendTaskRole', {
assumedBy: new iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
});
this.frontendTaskRole.addToPolicy(ECSExecPolicyStatement);
// BackEnd Task Role
this.backendTaskRole = new iam.Role(this, 'BackendTaskRole', {
assumedBy: new iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
@ -73,17 +65,6 @@ export class EcsIAM extends Construct {
// KendraとBedrockのアクセス権付与
this.backendTaskRole.attachInlinePolicy(RagAccessPolicy);
// FrontEnd Task ExecutionRole
this.frontendTaskExecutionRole = new iam.Role(this, 'frontendTaskExecutionRole', {
assumedBy: new iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
managedPolicies: [
{
managedPolicyArn:
'arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy',
},
],
});
// BackEnd Task ExecutionRole
this.backendTaskExecutionRole = new iam.Role(this, 'backendTaskExecutionRole', {
assumedBy: new iam.ServicePrincipal('ecs-tasks.amazonaws.com'),

View file

@ -3,4 +3,5 @@ export * from './ecr';
export * from './iam';
export * from './frontend';
export * from './backend';
export * from './network';
export * from './network';
export * from './kendra';

View file

@ -0,0 +1,141 @@
import * as kendra from 'aws-cdk-lib/aws-kendra';
import * as iam from 'aws-cdk-lib/aws-iam';
import { Construct } from 'constructs';
import { Duration, Token, Arn } from 'aws-cdk-lib';
import { NodejsFunction } from 'aws-cdk-lib/aws-lambda-nodejs';
import { Runtime } from 'aws-cdk-lib/aws-lambda';
export interface RagProps {
}
/**
* RAG
*/
export class Rag extends Construct {
constructor(scope: Construct, id: string, props: RagProps) {
super(scope, id);
const kendraIndexArnInCdkContext =
this.node.tryGetContext('kendraIndexArn');
let kendraIndexArn: string;
let kendraIndexId: string;
if (kendraIndexArnInCdkContext) {
// 既存の Kendra Index を利用する場合
kendraIndexArn = kendraIndexArnInCdkContext!;
kendraIndexId = Arn.extractResourceName(
kendraIndexArnInCdkContext,
'index'
);
} else {
// 新規に Kendra Index を作成する場合
const indexRole = new iam.Role(this, 'KendraIndexRole', {
assumedBy: new iam.ServicePrincipal('kendra.amazonaws.com'),
});
indexRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
resources: ['*'],
actions: ['s3:GetObject'],
})
);
indexRole.addManagedPolicy(
iam.ManagedPolicy.fromAwsManagedPolicyName('CloudWatchLogsFullAccess')
);
const index = new kendra.CfnIndex(this, 'KendraIndex', {
name: 'langflow-index',
edition: 'DEVELOPER_EDITION',
roleArn: indexRole.roleArn,
});
kendraIndexArn = Token.asString(index.getAtt('Arn'));
kendraIndexId = index.ref;
// WebCrawler を作成
const webCrawlerRole = new iam.Role(this, 'KendraWebCrawlerRole', {
assumedBy: new iam.ServicePrincipal('kendra.amazonaws.com'),
});
webCrawlerRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
resources: [kendraIndexArn],
actions: ['kendra:BatchPutDocument', 'kendra:BatchDeleteDocument'],
})
);
new kendra.CfnDataSource(this, 'WebCrawler', {
indexId: kendraIndexId,
name: 'WebCrawler',
type: 'WEBCRAWLER',
roleArn: webCrawlerRole.roleArn,
languageCode: 'ja',
dataSourceConfiguration: {
webCrawlerConfiguration: {
urls: {
seedUrlConfiguration: {
webCrawlerMode: 'HOST_ONLY',
// デモ用に AWS の GenAI 関連のページを取り込む
seedUrls: [
'https://aws.amazon.com/jp/what-is/generative-ai/',
'https://aws.amazon.com/jp/generative-ai/',
'https://aws.amazon.com/jp/generative-ai/use-cases/',
'https://aws.amazon.com/jp/bedrock/',
'https://aws.amazon.com/jp/bedrock/features/',
'https://aws.amazon.com/jp/bedrock/testimonials/',
],
},
},
crawlDepth: 1,
urlInclusionPatterns: ['https://aws.amazon.com/jp/.*'],
},
},
});
}
// RAG 関連の API を追加する
// Lambda
const queryFunction = new NodejsFunction(this, 'Query', {
runtime: Runtime.NODEJS_18_X,
entry: './lambda/queryKendra.ts',
timeout: Duration.minutes(15),
bundling: {
// 新しい Kendra の機能を使うため、AWS SDK を明示的にバンドルする
externalModules: [],
},
environment: {
INDEX_ID: kendraIndexId,
},
});
queryFunction.role?.addToPrincipalPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
resources: [kendraIndexArn],
actions: ['kendra:Query'],
})
);
const retrieveFunction = new NodejsFunction(this, 'Retrieve', {
runtime: Runtime.NODEJS_18_X,
entry: './lambda/retrieveKendra.ts',
timeout: Duration.minutes(15),
bundling: {
// 新しい Kendra の機能を使うため、AWS SDK を明示的にバンドルする
externalModules: [],
},
environment: {
INDEX_ID: kendraIndexId,
},
});
retrieveFunction.role?.addToPrincipalPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
resources: [kendraIndexArn],
actions: ['kendra:Retrieve'],
})
);
}
}

View file

@ -11,20 +11,16 @@ import {
export class Network extends Construct {
readonly vpc: ec2.Vpc;
readonly cluster: ecs.Cluster;
readonly alb: elb.IApplicationLoadBalancer;
readonly targetGroup: elb.ApplicationTargetGroup;
readonly cloudmapNamespace: servicediscovery.PrivateDnsNamespace;
readonly ecsFrontSG: ec2.SecurityGroup;
readonly ecsBackSG: ec2.SecurityGroup;
readonly dbSG: ec2.SecurityGroup;
readonly albSG: ec2.SecurityGroup;
readonly backendLogGroup: logs.LogGroup;
readonly frontendLogGroup: logs.LogGroup;
readonly alb: elb.IApplicationLoadBalancer;
readonly albTG: elb.ApplicationTargetGroup;
readonly albSG: ec2.SecurityGroup;
constructor(scope: Construct, id: string) {
super(scope, id)
const alb_listen_port=80
const front_service_port=3000
const back_service_port=7860
// VPC等リソースの作成
@ -51,22 +47,6 @@ export class Network extends Construct {
],
natGateways: 1,
})
// Cluster
this.cluster = new ecs.Cluster(this, 'EcsCluster', {
clusterName: 'langflow-cluster',
vpc: this.vpc,
enableFargateCapacityProviders: true,
});
// Private DNS
this.cloudmapNamespace = new servicediscovery.PrivateDnsNamespace(
this,
'Namespace',
{
name: 'ecs-deploy.com',
vpc: this.vpc,
}
);
// ALBに設定するセキュリティグループ
this.albSG = new ec2.SecurityGroup(scope, 'ALBSecurityGroup', {
@ -74,7 +54,6 @@ export class Network extends Construct {
description: 'for alb',
vpc: this.vpc,
})
this.albSG.addIngressRule(ec2.Peer.anyIpv4(), ec2.Port.tcp(alb_listen_port))
this.alb = new elb.ApplicationLoadBalancer(this,'langflow-alb',{
internetFacing: true, //インターネットからのアクセスを許可するかどうか指定
@ -85,8 +64,8 @@ export class Network extends Construct {
const listener = this.alb.addListener('Listener', { port: alb_listen_port });
this.targetGroup = listener.addTargets('targetGroup', {
port: front_service_port,
this.albTG = listener.addTargets('targetGroup', {
port: back_service_port,
protocol: elb.ApplicationProtocol.HTTP,
healthCheck: {
enabled: true,
@ -99,13 +78,12 @@ export class Network extends Construct {
},
});
// ECS FrontEndに設定するセキュリティグループ
this.ecsFrontSG = new ec2.SecurityGroup(scope, 'ECSFrontEndSecurityGroup', {
securityGroupName: 'langflow-ecs-front-sg',
description: 'for langflow-front-ecs',
// Cluster
this.cluster = new ecs.Cluster(this, 'EcsCluster', {
clusterName: 'langflow-cluster',
vpc: this.vpc,
})
this.ecsFrontSG.addIngressRule(this.albSG, ec2.Port.allTcp())
enableFargateCapacityProviders: true,
});
// ECS BackEndに設定するセキュリティグループ
this.ecsBackSG = new ec2.SecurityGroup(scope, 'ECSBackEndSecurityGroup', {
@ -113,7 +91,7 @@ export class Network extends Construct {
description: 'for langflow-back-ecs',
vpc: this.vpc,
})
this.ecsBackSG.addIngressRule(this.ecsFrontSG, ec2.Port.tcp(back_service_port))
this.ecsBackSG.addIngressRule(this.albSG,ec2.Port.tcp(back_service_port))
// RDSに設定するセキュリティグループ
this.dbSG = new ec2.SecurityGroup(scope, 'DBSecurityGroup', {
@ -122,7 +100,7 @@ export class Network extends Construct {
description: 'for langflow-db',
vpc: this.vpc,
})
// AppRunnerSecurityGroupからのポート3306:mysql(5432:postgres)のインバウンドを許可
// langflow-ecs-back-sg からのポート3306:mysql(5432:postgres)のインバウンドを許可
this.dbSG.addIngressRule(this.ecsBackSG, ec2.Port.tcp(3306))
// Create CloudWatch Log Group
@ -131,13 +109,5 @@ export class Network extends Construct {
removalPolicy: RemovalPolicy.DESTROY,
});
this.frontendLogGroup = new logs.LogGroup(this, 'frontendLogGroup', {
logGroupName: 'langflow-frontend-logs',
removalPolicy: RemovalPolicy.DESTROY,
});
new CfnOutput(this, 'URL', {
value: `http://${this.alb.loadBalancerDnsName}`,
});
}
}

View file

@ -8,9 +8,11 @@
"name": "cdk",
"version": "0.1.0",
"dependencies": {
"aws-cdk-lib": "^2.86.0",
"@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0",
"aws-cdk-lib": "^2.124.0",
"cdk-ecr-deployment": "^2.5.30",
"constructs": "^10.0.0",
"deploy-time-build": "^0.3.12",
"dotenv": "^16.3.1",
"source-map-support": "^0.5.21"
},
@ -20,7 +22,7 @@
"devDependencies": {
"@types/jest": "^29.5.1",
"@types/node": "20.1.7",
"aws-cdk": "2.86.0",
"aws-cdk": "^2.86.0",
"jest": "^29.5.0",
"ts-jest": "^29.1.0",
"ts-node": "^10.9.1",
@ -41,19 +43,324 @@
}
},
"node_modules/@aws-cdk/asset-awscli-v1": {
"version": "2.2.201",
"resolved": "https://registry.npmjs.org/@aws-cdk/asset-awscli-v1/-/asset-awscli-v1-2.2.201.tgz",
"integrity": "sha512-INZqcwDinNaIdb5CtW3ez5s943nX5stGBQS6VOP2JDlOFP81hM3fds/9NDknipqfUkZM43dx+HgVvkXYXXARCQ=="
"version": "2.2.202",
"resolved": "https://registry.npmjs.org/@aws-cdk/asset-awscli-v1/-/asset-awscli-v1-2.2.202.tgz",
"integrity": "sha512-JqlF0D4+EVugnG5dAsNZMqhu3HW7ehOXm5SDMxMbXNDMdsF0pxtQKNHRl52z1U9igsHmaFpUgSGjbhAJ+0JONg=="
},
"node_modules/@aws-cdk/asset-kubectl-v20": {
"version": "2.1.2",
"resolved": "https://registry.npmjs.org/@aws-cdk/asset-kubectl-v20/-/asset-kubectl-v20-2.1.2.tgz",
"integrity": "sha512-3M2tELJOxQv0apCIiuKQ4pAbncz9GuLwnKFqxifWfe77wuMxyTRPmxssYHs42ePqzap1LT6GDcPygGs+hHstLg=="
},
"node_modules/@aws-cdk/asset-node-proxy-agent-v5": {
"version": "2.0.166",
"resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v5/-/asset-node-proxy-agent-v5-2.0.166.tgz",
"integrity": "sha512-j0xnccpUQHXJKPgCwQcGGNu4lRiC1PptYfdxBIH1L4dRK91iBxtSQHESRQX+yB47oGLaF/WfNN/aF3WXwlhikg=="
"node_modules/@aws-cdk/asset-node-proxy-agent-v6": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.1.tgz",
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},
"node_modules/@aws-solutions-constructs/aws-cloudfront-s3": {
"version": "2.49.0",
"resolved": "https://registry.npmjs.org/@aws-solutions-constructs/aws-cloudfront-s3/-/aws-cloudfront-s3-2.49.0.tgz",
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"dependencies": {
"@aws-solutions-constructs/core": "2.49.0",
"@aws-solutions-constructs/resources": "2.49.0"
},
"peerDependencies": {
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"@aws-solutions-constructs/resources": "2.49.0",
"aws-cdk-lib": "^2.118.0",
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}
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"bundleDependencies": [
"deepmerge",
"npmlog",
"deep-diff"
],
"dependencies": {
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"deepmerge": "^4.0.0",
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},
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}
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"inBundle": true,
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"inBundle": true,
"license": "MIT",
"engines": {
"node": ">=8"
}
},
"node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/is-fullwidth-code-point": {
"version": "3.0.0",
"inBundle": true,
"license": "MIT",
"engines": {
"node": ">=8"
}
},
"node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/string-width": {
"version": "4.2.3",
"inBundle": true,
"license": "MIT",
"dependencies": {
"emoji-regex": "^8.0.0",
"is-fullwidth-code-point": "^3.0.0",
"strip-ansi": "^6.0.1"
},
"engines": {
"node": ">=8"
}
},
"node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/strip-ansi": {
"version": "6.0.1",
"inBundle": true,
"license": "MIT",
"dependencies": {
"ansi-regex": "^5.0.1"
},
"engines": {
"node": ">=8"
}
},
"node_modules/@aws-solutions-constructs/resources": {
"version": "2.49.0",
"resolved": "https://registry.npmjs.org/@aws-solutions-constructs/resources/-/resources-2.49.0.tgz",
"integrity": "sha512-HHx9tTA36plfVxzzQ+qjHCJOo6ikHR+xEqtb1dDBQvgtWo3SnEbWAKBDqNPA6DGn7PoFhxE0zA0ntj7RfFjeLQ==",
"bundleDependencies": [
"@aws-sdk/client-kms",
"@aws-sdk/client-s3",
"aws-sdk-client-mock"
],
"dependencies": {
"@aws-sdk/client-kms": "^3.478.0",
"@aws-sdk/client-s3": "^3.478.0",
"@aws-solutions-constructs/core": "2.49.0",
"aws-sdk-client-mock": "^3.0.0"
},
"peerDependencies": {
"@aws-solutions-constructs/core": "2.49.0",
"aws-cdk-lib": "^2.118.0",
"constructs": "^10.0.0"
}
},
"node_modules/@babel/code-frame": {
"version": "7.22.13",
@ -1313,9 +1620,9 @@
}
},
"node_modules/aws-cdk-lib": {
"version": "2.86.0",
"resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.86.0.tgz",
"integrity": "sha512-76yZ2MawAGXLD3ox4FjhUIPmAMXteGKkeo3tPMthemusDCCkD2X6DBssXBHjB7r9GnrOMMf8JH5BGq2lOZ539g==",
"version": "2.124.0",
"resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.124.0.tgz",
"integrity": "sha512-K/Tey8TMw30GO6UD0qb19CPhBMZhleGshz520ZnbDUJwNfFtejwZOnpmRMOdUP9f4tHc5BrXl1VGsZtXtUaGhg==",
"bundleDependencies": [
"@balena/dockerignore",
"case",
@ -1329,17 +1636,17 @@
"yaml"
],
"dependencies": {
"@aws-cdk/asset-awscli-v1": "^2.2.177",
"@aws-cdk/asset-kubectl-v20": "^2.1.1",
"@aws-cdk/asset-node-proxy-agent-v5": "^2.0.148",
"@aws-cdk/asset-awscli-v1": "^2.2.202",
"@aws-cdk/asset-kubectl-v20": "^2.1.2",
"@aws-cdk/asset-node-proxy-agent-v6": "^2.0.1",
"@balena/dockerignore": "^1.0.2",
"case": "1.6.3",
"fs-extra": "^11.1.1",
"ignore": "^5.2.4",
"fs-extra": "^11.2.0",
"ignore": "^5.3.0",
"jsonschema": "^1.4.1",
"minimatch": "^3.1.2",
"punycode": "^2.3.0",
"semver": "^7.5.1",
"punycode": "^2.3.1",
"semver": "^7.5.4",
"table": "^6.8.1",
"yaml": "1.10.2"
},
@ -1454,7 +1761,7 @@
"license": "MIT"
},
"node_modules/aws-cdk-lib/node_modules/fs-extra": {
"version": "11.1.1",
"version": "11.2.0",
"inBundle": true,
"license": "MIT",
"dependencies": {
@ -1472,7 +1779,7 @@
"license": "ISC"
},
"node_modules/aws-cdk-lib/node_modules/ignore": {
"version": "5.2.4",
"version": "5.3.0",
"inBundle": true,
"license": "MIT",
"engines": {
@ -1539,7 +1846,7 @@
}
},
"node_modules/aws-cdk-lib/node_modules/punycode": {
"version": "2.3.0",
"version": "2.3.1",
"inBundle": true,
"license": "MIT",
"engines": {
@ -1555,7 +1862,7 @@
}
},
"node_modules/aws-cdk-lib/node_modules/semver": {
"version": "7.5.2",
"version": "7.5.4",
"inBundle": true,
"license": "ISC",
"dependencies": {
@ -1624,7 +1931,7 @@
}
},
"node_modules/aws-cdk-lib/node_modules/universalify": {
"version": "2.0.0",
"version": "2.0.1",
"inBundle": true,
"license": "MIT",
"engines": {
@ -2400,6 +2707,15 @@
"node": ">=0.10.0"
}
},
"node_modules/deploy-time-build": {
"version": "0.3.12",
"resolved": "https://registry.npmjs.org/deploy-time-build/-/deploy-time-build-0.3.12.tgz",
"integrity": "sha512-fVyuwB0Nh7mOLYswhHIHv3NOCeTWyNAjzM8cqSBnuhfvRKSdLZUFPnfwlPk1VgvYp9lfrxBZ+eicjWPBrAr53g==",
"peerDependencies": {
"aws-cdk-lib": "^2.38.0",
"constructs": "^10.0.5"
}
},
"node_modules/detect-newline": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/detect-newline/-/detect-newline-3.1.0.tgz",

View file

@ -13,16 +13,18 @@
"devDependencies": {
"@types/jest": "^29.5.1",
"@types/node": "20.1.7",
"aws-cdk": "2.86.0",
"aws-cdk": "^2.86.0",
"jest": "^29.5.0",
"ts-jest": "^29.1.0",
"ts-node": "^10.9.1",
"typescript": "~5.1.3"
},
"dependencies": {
"aws-cdk-lib": "^2.86.0",
"@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0",
"aws-cdk-lib": "^2.124.0",
"cdk-ecr-deployment": "^2.5.30",
"constructs": "^10.0.0",
"deploy-time-build": "^0.3.12",
"dotenv": "^16.3.1",
"source-map-support": "^0.5.21"
}

View file

@ -10,19 +10,7 @@ from langflow.schema.schema import Record
# Types of files that can be read simply by file.read()
# and have 100% to be completely readable
TEXT_FILE_TYPES = [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
]
TEXT_FILE_TYPES = ["txt", "md", "mdx", "csv", "json", "yaml", "yml", "xml", "html", "htm", "pdf", "docx"]
def is_hidden(path: Path) -> bool:
@ -84,6 +72,13 @@ def read_text_file(file_path: str) -> str:
return f.read()
def read_docx_file(file_path: str) -> str:
from docx import Document # type: ignore
doc = Document(file_path)
return "\n\n".join([p.text for p in doc.paragraphs])
def parse_pdf_to_text(file_path: str) -> str:
from pypdf import PdfReader # type: ignore
@ -96,6 +91,8 @@ def parse_text_file_to_record(file_path: str, silent_errors: bool) -> Optional[R
try:
if file_path.endswith(".pdf"):
text = parse_pdf_to_text(file_path)
elif file_path.endswith(".docx"):
text = read_docx_file(file_path)
else:
text = read_text_file(file_path)
# if file is json, yaml, or xml, we can parse it

View file

@ -1,4 +1,4 @@
from typing import Any, Dict, Optional
from typing import Any, Dict, List
from langflow import CustomComponent
from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record
@ -6,12 +6,17 @@ from langflow.schema import Record
class FileComponent(CustomComponent):
display_name = "File"
description = "Load a file."
display_name = "Files"
description = "Read Text Files"
def build_config(self) -> Dict[str, Any]:
return {
"path": {"display_name": "Path"},
"paths": {
"display_name": "Paths",
"field_type": "file",
"file_types": TEXT_FILE_TYPES,
"info": f"Supported file types: {', '.join(TEXT_FILE_TYPES)}",
},
"silent_errors": {
"display_name": "Silent Errors",
"advanced": True,
@ -19,13 +24,22 @@ class FileComponent(CustomComponent):
},
}
def build(
self,
path: str,
silent_errors: bool = False,
) -> Optional[Record]:
def load_file(self, path: str, silent_errors: bool = False) -> Record:
resolved_path = self.resolve_path(path)
extension = resolved_path.split(".")[-1]
if extension == "doc":
raise ValueError("doc files are not supported. Please save as .docx")
if extension not in TEXT_FILE_TYPES:
raise ValueError(f"Unsupported file type: {extension}")
return parse_text_file_to_record(resolved_path, silent_errors)
record = parse_text_file_to_record(resolved_path, silent_errors)
self.status = record if record else "No data"
return record or Record()
def build(
self,
paths: List[str],
silent_errors: bool = False,
) -> List[Record]:
records = [self.load_file(path, silent_errors) for path in paths]
self.status = records
return records

View file

@ -0,0 +1,17 @@
from langchain_core.vectorstores import VectorStoreRetriever
from langflow import CustomComponent
from langflow.field_typing import VectorStore
class VectoStoreRetrieverComponent(CustomComponent):
display_name = "VectorStore Retriever"
description = "A vector store retriever"
def build_config(self):
return {
"vectorstore": {"display_name": "Vector Store", "type": VectorStore},
}
def build(self, vectorstore: VectorStore) -> VectorStoreRetriever:
return vectorstore.as_retriever()

View file

@ -0,0 +1,32 @@
from langchain.tools.retriever import create_retriever_tool
from langflow import CustomComponent
from langflow.field_typing import BaseRetriever, Tool
class RetrieverToolComponent(CustomComponent):
display_name = "RetrieverTool"
description = "Tool for interacting with retriever"
def build_config(self):
return {
"retriever": {
"display_name": "Retriever",
"info": "Retriever to interact with",
"type": BaseRetriever,
},
"name": {"display_name": "Name", "info": "Name of the tool"},
"description": {"display_name": "Description", "info": "Description of the tool"},
}
def build(
self,
retriever: BaseRetriever,
name: str,
description: str,
) -> Tool:
return create_retriever_tool(
retriever=retriever,
name=name,
description=description,
)

View file

@ -36,13 +36,12 @@ class MongoDBAtlasSearchComponent(MongoDBAtlasComponent, LCVectorStoreComponent)
mongodb_atlas_cluster_uri: str = "",
search_kwargs: Optional[NestedDict] = None,
) -> List[Record]:
search_kwargs = search_kwargs or {}
vector_store = super().build(
connection_string=mongodb_atlas_cluster_uri,
namespace=f"{db_name}.{collection_name}",
embedding=embedding,
collection_name=collection_name,
db_name=db_name,
index_name=index_name,
mongodb_atlas_cluster_uri=mongodb_atlas_cluster_uri,
search_kwargs=search_kwargs,
)
if not vector_store:
raise ValueError("Failed to create MongoDB Atlas Vector Store")

View file

@ -9,13 +9,9 @@ from jose import JWTError, jwt
from sqlmodel import Session
from starlette.websockets import WebSocket
from langflow.services.database.models.api_key.model import ApiKey
from langflow.services.database.models.api_key.crud import check_key
from langflow.services.database.models.user.crud import (
get_user_by_id,
get_user_by_username,
update_user_last_login_at,
)
from langflow.services.database.models.api_key.model import ApiKey
from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at
from langflow.services.database.models.user.model import User
from langflow.services.deps import get_session, get_settings_service
@ -107,13 +103,13 @@ async def get_current_user_by_jwt(
if isinstance(token, Coroutine):
token = await token
if settings_service.auth_settings.SECRET_KEY is None:
if settings_service.auth_settings.SECRET_KEY.get_secret_value() is None:
raise credentials_exception
try:
payload = jwt.decode(
token,
settings_service.auth_settings.SECRET_KEY,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
user_id: UUID = payload.get("sub") # type: ignore
@ -183,7 +179,7 @@ def create_token(data: dict, expires_delta: timedelta):
return jwt.encode(
to_encode,
settings_service.auth_settings.SECRET_KEY,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithm=settings_service.auth_settings.ALGORITHM,
)
@ -287,7 +283,7 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session))
try:
payload = jwt.decode(
refresh_token,
settings_service.auth_settings.SECRET_KEY,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
user_id: UUID = payload.get("sub") # type: ignore
@ -326,7 +322,7 @@ def add_padding(s):
def get_fernet(settings_service=Depends(get_settings_service)):
SECRET_KEY = settings_service.auth_settings.SECRET_KEY
SECRET_KEY = settings_service.auth_settings.SECRET_KEY.get_secret_value()
# It's important that your secret key is 32 url-safe base64-encoded byte
padded_secret_key = add_padding(SECRET_KEY)
fernet = Fernet(padded_secret_key)

View file

@ -1,23 +1,23 @@
import secrets
from pathlib import Path
from typing import Optional
from loguru import logger
from passlib.context import CryptContext
from pydantic import Field, SecretStr, validator
from pydantic_settings import BaseSettings
from langflow.services.settings.constants import (
DEFAULT_SUPERUSER,
DEFAULT_SUPERUSER_PASSWORD,
)
from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file
from loguru import logger
from passlib.context import CryptContext
from pydantic import Field, validator
from pydantic_settings import BaseSettings
class AuthSettings(BaseSettings):
# Login settings
CONFIG_DIR: str
SECRET_KEY: str = Field(
default="",
SECRET_KEY: SecretStr = Field(
default=None,
description="Secret key for JWT. If not provided, a random one will be generated.",
frozen=False,
)
@ -26,7 +26,6 @@ class AuthSettings(BaseSettings):
REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 * 7
# API Key to execute /process endpoint
API_KEY_SECRET_KEY: Optional[str] = "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a"
API_KEY_ALGORITHM: str = "HS256"
API_V1_STR: str = "/api/v1"

View file

@ -3,6 +3,7 @@ import "reactflow/dist/style.css";
import "./App.css";
import { ErrorBoundary } from "react-error-boundary";
import { useNavigate } from "react-router-dom";
import ErrorAlert from "./alerts/error";
import NoticeAlert from "./alerts/notice";
import SuccessAlert from "./alerts/success";
@ -47,6 +48,9 @@ export default function App() {
(state) => state.setGlobalVariables
);
const checkHasStore = useStoreStore((state) => state.checkHasStore);
const navigate = useNavigate();
const [isLoadingHealth, setIsLoadingHealth] = useState(false);
useEffect(() => {
refreshStars();
@ -67,11 +71,12 @@ export default function App() {
}, [isAuthenticated]);
useEffect(() => {
checkApplicationHealth();
// Timer to call getHealth every 5 seconds
const timer = setInterval(() => {
getHealth()
.then(() => {
if (fetchError) setFetchError(false);
onHealthCheck();
})
.catch(() => {
setFetchError(true);
@ -84,6 +89,30 @@ export default function App() {
};
}, []);
const checkApplicationHealth = () => {
setIsLoadingHealth(true);
getHealth()
.then(() => {
onHealthCheck();
})
.catch(() => {
setFetchError(true);
});
setTimeout(() => {
setIsLoadingHealth(false);
}, 2000);
};
const onHealthCheck = () => {
setFetchError(false);
//This condition is necessary to avoid infinite loop on starter page when the application is not healthy
if (isLoading === true && window.location.pathname === "/") {
navigate("/flows");
window.location.reload();
}
};
return (
//need parent component with width and height
<div className="flex h-full flex-col">
@ -93,20 +122,29 @@ export default function App() {
}}
FallbackComponent={CrashErrorComponent}
>
{fetchError ? (
<FetchErrorComponent
description={FETCH_ERROR_DESCRIPION}
message={FETCH_ERROR_MESSAGE}
></FetchErrorComponent>
) : isLoading ? (
<div className="loading-page-panel">
<LoadingComponent remSize={50} />
</div>
) : (
<>
<Router />
</>
)}
<>
{
<FetchErrorComponent
description={FETCH_ERROR_DESCRIPION}
message={FETCH_ERROR_MESSAGE}
openModal={fetchError}
setRetry={() => {
checkApplicationHealth();
}}
isLoadingHealth={isLoadingHealth}
></FetchErrorComponent>
}
{isLoading ? (
<div className="loading-page-panel">
<LoadingComponent remSize={50} />
</div>
) : (
<>
<Router />
</>
)}
</>
</ErrorBoundary>
<div></div>
<div className="app-div">

View file

@ -275,7 +275,8 @@ export default function GenericNode({
name="Play"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-green opacity-30 transition-all group-hover:opacity-0"
/>
) : validationStatus && !validationStatus.valid ? (
) : buildStatus === BuildStatus.ERROR ||
(validationStatus && !validationStatus.valid) ? (
<Xmark
isVisible={true}
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-red opacity-100 transition-all group-hover:opacity-0"
@ -301,7 +302,10 @@ export default function GenericNode({
// INACTIVE should have its own class
return "inactive-status";
}
if (buildStatus === BuildStatus.BUILT && isInvalid) {
if (
(buildStatus === BuildStatus.BUILT && isInvalid) ||
buildStatus === BuildStatus.ERROR
) {
return isDark ? "built-invalid-status-dark" : "built-invalid-status";
} else if (buildStatus === BuildStatus.BUILDING) {
return "building-status";

View file

@ -4,6 +4,7 @@ import Loading from "../../../components/ui/loading";
import { FlowType } from "../../../types/flow";
import { MISSED_ERROR_ALERT } from "../../../constants/alerts_constants";
import { BuildStatus } from "../../../constants/enums";
import useAlertStore from "../../../stores/alertStore";
import useFlowStore from "../../../stores/flowStore";
import { validateNodes } from "../../../utils/reactflowUtils";
@ -22,6 +23,7 @@ export default function BuildTrigger({
const buildFlow = useFlowStore((state) => state.buildFlow);
const nodes = useFlowStore((state) => state.nodes);
const edges = useFlowStore((state) => state.edges);
const updateBuildStatus = useFlowStore((state) => state.updateBuildStatus);
const setErrorData = useAlertStore((state) => state.setErrorData);
const eventClick = isBuilding ? "pointer-events-none" : "";
@ -32,12 +34,15 @@ export default function BuildTrigger({
if (isBuilding) {
return;
}
const errors = validateNodes(nodes, edges);
const errorsObjs = validateNodes(nodes, edges);
const errors = errorsObjs.flatMap((errorObj) => errorObj.errors);
if (errors.length > 0) {
setErrorData({
title: MISSED_ERROR_ALERT,
list: errors,
});
const ids = errorsObjs.map((errorObj) => errorObj.id);
updateBuildStatus(ids, BuildStatus.ERROR);
return;
}
const minimumLoadingTime = 200; // in milliseconds

View file

@ -1,16 +1,51 @@
import BaseModal from "../../modals/baseModal";
import { fetchErrorComponentType } from "../../types/components";
import IconComponent from "../genericIconComponent";
import { Button } from "../ui/button";
export default function FetchErrorComponent({
message,
description,
openModal,
setRetry,
isLoadingHealth,
}: fetchErrorComponentType) {
return (
<div role="status" className="m-auto flex flex-col items-center">
<IconComponent className={`h-16 w-16`} name="Unplug"></IconComponent>
<br></br>
<span className="text-lg text-almost-medium-blue">{message}</span>
<span className="text-lg text-almost-medium-blue">{description}</span>
</div>
<>
<BaseModal size="small-h-full" open={openModal} type="modal">
<BaseModal.Content>
<div role="status" className="m-auto flex flex-col items-center">
<IconComponent
className={`h-16 w-16`}
name="Unplug"
></IconComponent>
<br></br>
<span className="text-lg text-almost-medium-blue">{message}</span>
<span className="text-lg text-almost-medium-blue">
{description}
</span>
</div>
</BaseModal.Content>
<BaseModal.Footer>
<div className="m-auto">
<Button
disabled={isLoadingHealth}
onClick={() => {
setRetry();
}}
>
{isLoadingHealth ? (
<div>
<IconComponent name={"Loader2"} className={"animate-spin"} />
</div>
) : (
"Retry"
)}
</Button>
</div>
</BaseModal.Footer>
</BaseModal>
</>
);
}

View file

@ -26,6 +26,7 @@ export default function PromptAreaComponent({
<div className={disabled ? "pointer-events-none w-full " : " w-full"}>
<GenericModal
id={id}
field_name={field_name}
readonly={readonly}
type={TypeModal.PROMPT}
value={value}

View file

@ -0,0 +1,119 @@
import * as DialogPrimitive from "@radix-ui/react-dialog";
import * as React from "react";
import { cn } from "../../utils/utils";
const Dialog = DialogPrimitive.Root;
const DialogTrigger = DialogPrimitive.Trigger;
const DialogPortal = ({
children,
...props
}: DialogPrimitive.DialogPortalProps) => (
<DialogPrimitive.Portal {...props}>
<div className="nopan nodelete nodrag noundo nocopy fixed inset-0 z-50 flex items-start justify-center sm:items-center">
{children}
</div>
</DialogPrimitive.Portal>
);
DialogPortal.displayName = DialogPrimitive.Portal.displayName;
const DialogOverlay = React.forwardRef<
React.ElementRef<typeof DialogPrimitive.Overlay>,
React.ComponentPropsWithoutRef<typeof DialogPrimitive.Overlay>
>(({ className, ...props }, ref) => (
<DialogPrimitive.Overlay
ref={ref}
className={cn(
"nopan nodelete nodrag noundo nocopy fixed inset-0 bottom-0 left-0 right-0 top-0 z-50 overflow-auto bg-blur-shared backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
className
)}
{...props}
/>
));
DialogOverlay.displayName = DialogPrimitive.Overlay.displayName;
const DialogContent = React.forwardRef<
React.ElementRef<typeof DialogPrimitive.Content>,
React.ComponentPropsWithoutRef<typeof DialogPrimitive.Content>
>(({ className, children, ...props }, ref) => (
<DialogPortal>
<DialogOverlay />
<DialogPrimitive.Content
ref={ref}
className={cn(
"fixed z-50 flex w-full max-w-lg flex-col gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] sm:rounded-lg md:w-full",
className
)}
{...props}
>
{children}
</DialogPrimitive.Content>
</DialogPortal>
));
DialogContent.displayName = DialogPrimitive.Content.displayName;
const DialogHeader = ({
className,
...props
}: React.HTMLAttributes<HTMLDivElement>) => (
<div
className={cn(
"flex flex-col space-y-1.5 text-center sm:text-left",
className
)}
{...props}
/>
);
DialogHeader.displayName = "DialogHeader";
const DialogFooter = ({
className,
...props
}: React.HTMLAttributes<HTMLDivElement>) => (
<div
className={cn(
"flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
className
)}
{...props}
/>
);
DialogFooter.displayName = "DialogFooter";
const DialogTitle = React.forwardRef<
React.ElementRef<typeof DialogPrimitive.Title>,
React.ComponentPropsWithoutRef<typeof DialogPrimitive.Title>
>(({ className, ...props }, ref) => (
<DialogPrimitive.Title
ref={ref}
className={cn(
"text-lg font-semibold leading-none tracking-tight",
className
)}
{...props}
/>
));
DialogTitle.displayName = DialogPrimitive.Title.displayName;
const DialogDescription = React.forwardRef<
React.ElementRef<typeof DialogPrimitive.Description>,
React.ComponentPropsWithoutRef<typeof DialogPrimitive.Description>
>(({ className, ...props }, ref) => (
<DialogPrimitive.Description
ref={ref}
className={cn("text-sm text-muted-foreground", className)}
{...props}
/>
));
DialogDescription.displayName = DialogPrimitive.Description.displayName;
export {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
DialogTrigger,
};

View file

@ -12,4 +12,5 @@ export enum BuildStatus {
TO_BUILD = "TO_BUILD",
BUILT = "BUILT",
INACTIVE = "INACTIVE",
ERROR = "ERROR",
}

View file

@ -9,6 +9,12 @@ import {
DialogTitle,
DialogTrigger,
} from "../../components/ui/dialog";
import {
Dialog as Modal,
DialogContent as ModalContent,
} from "../../components/ui/dialog-with-no-close";
import { modalHeaderType } from "../../types/components";
import { cn } from "../../utils/utils";
@ -76,6 +82,7 @@ interface BaseModalProps {
disable?: boolean;
onChangeOpenModal?: (open?: boolean) => void;
type?: "modal" | "dialog";
}
function BaseModal({
open,
@ -83,6 +90,7 @@ function BaseModal({
children,
size = "large",
onChangeOpenModal,
type = "dialog",
}: BaseModalProps) {
const headerChild = React.Children.toArray(children).find(
(child) => (child as React.ReactElement).type === Header
@ -156,22 +164,43 @@ function BaseModal({
//UPDATE COLORS AND STYLE CLASSSES
return (
<Dialog open={open} onOpenChange={setOpen}>
{triggerChild}
<DialogContent className={cn(minWidth, "duration-300")}>
<div className="truncate-doubleline word-break-break-word">
{headerChild}
</div>
<div
className={`flex flex-col ${height!} w-full transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
)}
</DialogContent>
</Dialog>
<>
{type === "modal" ? (
<Modal open={open} onOpenChange={setOpen}>
{triggerChild}
<ModalContent className={cn(minWidth, "duration-300")}>
<div className="truncate-doubleline word-break-break-word">
{headerChild}
</div>
<div
className={`flex flex-col ${height!} w-full transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
)}
</ModalContent>
</Modal>
) : (
<Dialog open={open} onOpenChange={setOpen}>
{triggerChild}
<DialogContent className={cn(minWidth, "duration-300")}>
<div className="truncate-doubleline word-break-break-word">
{headerChild}
</div>
<div
className={`flex flex-col ${height!} w-full transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
)}
</DialogContent>
</Dialog>
)}
</>
);
}

View file

@ -31,6 +31,7 @@ import {
CHAT_SECOND_INITIAL_TEXT,
LANGFLOW_CHAT_TITLE,
} from "../../constants/constants";
import { BuildStatus } from "../../constants/enums";
import { AuthContext } from "../../contexts/authContext";
import { getBuildStatus } from "../../controllers/API";
import useAlertStore from "../../stores/alertStore";
@ -49,6 +50,7 @@ export default function FormModal({
}): JSX.Element {
const nodes = useFlowStore((state) => state.nodes);
const edges = useFlowStore((state) => state.edges);
const updateBuildStatus = useFlowStore((state) => state.updateBuildStatus);
const flowState = useFlowStore((state) => state.flowState);
const setFlowState = useFlowStore((state) => state.setFlowState);
const [chatValue, setChatValue] = useState(() => {
@ -388,7 +390,8 @@ export default function FormModal({
function sendMessage(): void {
let nodeValidationErrors = validateNodes(nodes, edges);
if (nodeValidationErrors.length === 0) {
const errors = nodeValidationErrors.flatMap((error) => error.errors);
if (errors.length === 0) {
setLockChat(true);
let inputs = flowState?.input_keys;
setChatValue("");
@ -412,8 +415,10 @@ export default function FormModal({
} else {
setErrorData({
title: INFO_MISSING_ALERT,
list: nodeValidationErrors,
list: errors,
});
const ids = nodeValidationErrors.map((error) => error.id);
updateBuildStatus(ids, BuildStatus.ERROR);
}
}
function clearChat(): void {

View file

@ -94,6 +94,49 @@ export default function Page({
const [lastSelection, setLastSelection] =
useState<OnSelectionChangeParams | null>(null);
function handleGroupNode() {
takeSnapshot();
if (validateSelection(lastSelection!, edges).length === 0) {
const clonedNodes = cloneDeep(nodes);
const clonedEdges = cloneDeep(edges);
const clonedSelection = cloneDeep(lastSelection);
updateIds({ nodes: clonedNodes, edges: clonedEdges }, clonedSelection!);
const { newFlow, removedEdges } = generateFlow(
clonedSelection!,
clonedNodes,
clonedEdges,
getRandomName()
);
const newGroupNode = generateNodeFromFlow(newFlow, getNodeId);
const newEdges = reconnectEdges(newGroupNode, removedEdges);
setNodes([
...clonedNodes.filter(
(oldNodes) =>
!clonedSelection?.nodes.some(
(selectionNode) => selectionNode.id === oldNodes.id
)
),
newGroupNode,
]);
setEdges([
...clonedEdges.filter(
(oldEdge) =>
!clonedSelection!.nodes.some(
(selectionNode) =>
selectionNode.id === oldEdge.target ||
selectionNode.id === oldEdge.source
)
),
...newEdges,
]);
} else {
setErrorData({
title: INVALID_SELECTION_ERROR_ALERT,
list: validateSelection(lastSelection!, edges),
});
}
}
const setNode = useFlowStore((state) => state.setNode);
useEffect(() => {
const onKeyDown = (event: KeyboardEvent) => {
@ -104,49 +147,7 @@ export default function Page({
event.key === "g"
) {
event.preventDefault();
takeSnapshot();
if (validateSelection(lastSelection!, edges).length === 0) {
const clonedNodes = cloneDeep(nodes);
const clonedEdges = cloneDeep(edges);
const clonedSelection = cloneDeep(lastSelection);
updateIds(
{ nodes: clonedNodes, edges: clonedEdges },
clonedSelection!
);
const { newFlow, removedEdges } = generateFlow(
clonedSelection!,
clonedNodes,
clonedEdges,
getRandomName()
);
const newGroupNode = generateNodeFromFlow(newFlow, getNodeId);
const newEdges = reconnectEdges(newGroupNode, removedEdges);
setNodes([
...clonedNodes.filter(
(oldNodes) =>
!clonedSelection?.nodes.some(
(selectionNode) => selectionNode.id === oldNodes.id
)
),
newGroupNode,
]);
setEdges([
...clonedEdges.filter(
(oldEdge) =>
!clonedSelection!.nodes.some(
(selectionNode) =>
selectionNode.id === oldEdge.target ||
selectionNode.id === oldEdge.source
)
),
...newEdges,
]);
} else {
setErrorData({
title: INVALID_SELECTION_ERROR_ALERT,
list: validateSelection(lastSelection!, edges),
});
}
handleGroupNode();
}
if (
(event.ctrlKey || event.metaKey) &&
@ -484,58 +485,7 @@ export default function Page({
isVisible={selectionMenuVisible}
nodes={lastSelection?.nodes}
onClick={() => {
takeSnapshot();
if (
validateSelection(lastSelection!, edges).length === 0
) {
const clonedNodes = cloneDeep(nodes);
const clonedEdges = cloneDeep(edges);
const clonedSelection = cloneDeep(lastSelection);
updateIds(
{ nodes: clonedNodes, edges: clonedEdges },
clonedSelection!
);
const { newFlow, removedEdges } = generateFlow(
clonedSelection!,
clonedNodes,
clonedEdges,
getRandomName()
);
const newGroupNode = generateNodeFromFlow(
newFlow,
getNodeId
);
const newEdges = reconnectEdges(
newGroupNode,
removedEdges
);
setNodes([
...clonedNodes.filter(
(oldNodes) =>
!clonedSelection?.nodes.some(
(selectionNode) =>
selectionNode.id === oldNodes.id
)
),
newGroupNode,
]);
setEdges([
...clonedEdges.filter(
(oldEdge) =>
!clonedSelection!.nodes.some(
(selectionNode) =>
selectionNode.id === oldEdge.target ||
selectionNode.id === oldEdge.source
)
),
...newEdges,
]);
} else {
setErrorData({
title: INVALID_SELECTION_ERROR_ALERT,
list: validateSelection(lastSelection!, edges),
});
}
handleGroupNode();
}}
/>
</ReactFlow>

View file

@ -270,19 +270,10 @@ export default function NodeToolbarComponent({
selected &&
isGroup &&
(event.ctrlKey || event.metaKey) &&
event.key === "u"
event.key === "g"
) {
event.preventDefault();
takeSnapshot();
expandGroupNode(
data.id,
updateFlowPosition(position, data.node?.flow!),
data.node!.template,
nodes,
edges,
setNodes,
setEdges
);
handleSelectChange("ungroup");
}
if (
selected &&
@ -571,7 +562,7 @@ export default function NodeToolbarComponent({
Ctrl +{" "}
</span>
)}
<span className="absolute right-2 top-[0.43em]">U</span>
<span className="absolute right-2 top-[0.43em]">G</span>
</div>
</SelectItem>
)}

View file

@ -438,16 +438,20 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
const setErrorData = useAlertStore.getState().setErrorData;
const setNoticeData = useAlertStore.getState().setNoticeData;
function validateSubgraph(nodes: string[]) {
const errors = validateNodes(
const errorsObjs = validateNodes(
get().nodes.filter((node) => nodes.includes(node.id)),
get().edges
);
const errors = errorsObjs.map((obj) => obj.errors).flat();
if (errors.length > 0) {
setErrorData({
title: MISSED_ERROR_ALERT,
list: errors,
});
get().setIsBuilding(false);
const ids = errorsObjs.map((obj) => obj.id).flat();
console.log("ids", ids);
get().updateBuildStatus(ids, BuildStatus.ERROR);
throw new Error("Invalid nodes");
}
}
@ -538,7 +542,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
.filter(Boolean) as string[];
useFlowStore.getState().updateBuildStatus(idList, BuildStatus.BUILDING);
},
validateNodes: validateSubgraph,
onValidateNodes: validateSubgraph,
});
get().setIsBuilding(false);
get().revertBuiltStatusFromBuilding();

View file

@ -88,6 +88,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
}
})
.catch((e) => {
set({ isLoading: false });
useAlertStore.getState().setErrorData({
title: "Could not load flows from database",
});

View file

@ -27,10 +27,6 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
resolve();
})
.catch((error) => {
useAlertStore.getState().setErrorData({
title: "An error has occurred while fetching types.",
list: ["Please refresh the page."],
});
console.error("An error has occurred while fetching types.");
console.log(error);
reject();

View file

@ -672,6 +672,9 @@ export type ApiKey = {
export type fetchErrorComponentType = {
message: string;
description: string;
openModal?: boolean;
setRetry: () => void;
isLoadingHealth: boolean;
};
export type dropdownButtonPropsType = {

View file

@ -20,7 +20,7 @@ type BuildVerticesParams = {
onBuildComplete?: (allNodesValid: boolean) => void;
onBuildError?: (title, list, idList: VertexLayerElementType[]) => void;
onBuildStart?: (idList: VertexLayerElementType[]) => void;
validateNodes?: (nodes: string[]) => void;
onValidateNodes?: (nodes: string[]) => void;
};
function getInactiveVertexData(vertexId: string): VertexBuildTypeAPI {
@ -114,7 +114,7 @@ export async function buildVertices({
onBuildComplete,
onBuildError,
onBuildStart,
validateNodes,
onValidateNodes,
}: BuildVerticesParams) {
let verticesBuild = useFlowStore.getState().verticesBuild;
// if startNodeId and stopNodeId are provided
@ -133,10 +133,10 @@ export async function buildVertices({
if (onGetOrderSuccess) onGetOrderSuccess();
if (validateNodes) {
if (onValidateNodes) {
try {
const nodes = useFlowStore.getState().nodes;
validateNodes(nodes.map((node) => node.id));
onValidateNodes(nodes.map((node) => node.id));
} catch (e) {
return;
}

View file

@ -313,27 +313,40 @@ export function validateNode(node: NodeType, edges: Edge[]): Array<string> {
) {
if (hasDuplicateKeys(template[t].value))
errors.push(
`${type} (${getFieldTitle(
`${displayName || type} (${getFieldTitle(
template,
t
)}) contains duplicate keys with the same values.`
);
if (hasEmptyKey(template[t].value))
errors.push(
`${type} (${getFieldTitle(template, t)}) field must not be empty.`
`${displayName || type} (${getFieldTitle(
template,
t
)}) field must not be empty.`
);
}
return errors;
}, [] as string[]);
}
export function validateNodes(nodes: Node[], edges: Edge[]) {
export function validateNodes(
nodes: Node[],
edges: Edge[]
): // this returns an array of tuples with the node id and the errors
Array<{ id: string; errors: Array<string> }> {
if (nodes.length === 0) {
return [
"No nodes found in the flow. Please add at least one node to the flow.",
{
id: "",
errors: [
"No nodes found in the flow. Please add at least one node to the flow.",
],
},
];
}
return nodes.flatMap((n: NodeType) => validateNode(n, edges));
// validateNode(n, edges) returns an array of errors for the node
return nodes.map((n) => ({ id: n.id, errors: validateNode(n, edges) }));
}
export function updateEdges(edges: Edge[]) {