up structure for tf
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README.md
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# Implémentation d'essai du design system
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initialiser une app Angular latest,
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importer le dépot ng-demo
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et utiliser ses composants.
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# RAG Pattern :: Backend
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Faire un store redux pour les applications.
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This repository hosts the code for the frontend application built with Streamlit. The deployment process involves building a Docker image, pushing it to Amazon Elastic Container Registry (ECR), and running it as an ECS task using Terraform for infrastructure management.
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## Deployment Workflow
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- :one: *Docker Image Build and Push to ECR*: The frontend application is containerized using Docker. The GitLab CI/CD pipeline builds the image and pushes it to an Amazon ECR repository.
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- :two: *Infrastructure Provisioning with Terraform*: The necessary AWS infrastructure, including the ECR repository, ECS cluster, and networking resources, is defined and managed using Terraform.
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- :three: *ECS Task Deployment*: The Docker image from ECR is deployed as an ECS task, running the Streamlit application in a containerized environment.
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## Detailed Steps
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1. **Docker Image Build & Push**:
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- The CI/CD pipeline builds the Streamlit application into a Docker image.
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- The image is tagged with the commit SHA for version control.
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- The image is pushed to Amazon ECR for storage.
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2. **Terraform-Based Infrastructure Deployment**:
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- The Terraform configuration provisions:
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- An ECR repository for storing images.
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- An ECS cluster with task definitions.
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- Security groups, IAM roles, and networking components.
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- The infrastructure is applied using GitLab CI/CD with `terraform apply`.
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3. **Deploying the Application to ECS**:
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- The ECS task definition is updated with the latest image.
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- The ECS service is restarted to apply the new task definition.
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- Load balancing and auto-scaling ensure availability and scalability.
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## ARCHITECTURE
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In this architecture:
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- The frontend container runs on Amazon ECS with Fargate.
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- The container image is stored and retrieved from Amazon ECR.
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- Network access is managed through security groups and, optionally, an Application Load Balancer.
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- Terraform automates AWS infrastructure provisioning.
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This setup ensures an automated, scalable, and reliable deployment pipeline for the frontend application.
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## DEPLOYEMENT
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### Requirements
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The [saeiagendocuref infrastructure](https://git.cloud.safran/safranae/saeawspfiagendocuref/saeiagendocuref/frontend-chatbot/infrastructure/-/tree/main) should be deployed in your AWS account
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