JuristAI-Legal-Software / Chatbot

Chatbot functionality for various products
https://librechat.ai/
MIT License
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Enhancement: Chatbot CI/CD #15

Open AliSMAmin opened 1 month ago

AliSMAmin commented 1 month ago

What features would you like to see added?

Configure the build process Set up a CI/CD pipeline Containerize using Docker (ECS? , Fargate?) Deployments Dev/Pre/Prod

features/ci_cd_pipeline.feature

Feature: Automated CI/CD Pipeline for Code Deployment As a developer I want a CI/CD pipeline to automate the deployment process So that code changes from GitHub are automatically tested, built, and deployed to the AWS environment

Background: Given the system supports monitoring GitHub repositories for code changes

Scenario: Monitor GitHub repositories for code changes Given a code repository on GitHub When code changes are pushed to the repository Then the CI/CD pipeline monitors the repository for these changes

Scenario: Trigger build process automatically Given the CI/CD pipeline detects code changes When changes are detected in the repository Then the pipeline automatically triggers a build process

Scenario: Run automated tests Given the build process is triggered When the code is built Then the CI/CD pipeline runs automated tests to ensure the code is working correctly

Scenario: Deploy code to AWS services Given the automated tests pass successfully When the tests are completed Then the CI/CD pipeline deploys the code to the appropriate AWS services (e.g., EC2, Lambda, S3)

Scenario: Send deployment status notifications Given the code is deployed to the AWS environment When the deployment is completed Then the CI/CD pipeline sends notifications about the deployment status to the development team

More details

Discovery Problem Definition

The current deployment process for the LibreChat open-source chatbot interface is manual and inefficient. The chatbot operates as a Docker container within a single EC2 instance, which requires manual access and launching. This setup does not support automatic updates or scalable deployment for multiple users and cases. Motivations:

To provide a seamless user experience, there is a need for an automated deployment process that ensures the latest code changes are consistently and efficiently deployed to all instances. This will facilitate the management of multiple EC2 instances for each userID and userID_caseID combination, enhancing scalability and reducing manual intervention. Proposed Solution

Implement a CI/CD pipeline to manage the deployment of the LibreChat chatbot:

Monitor the GitHub repository for code changes.
Automatically trigger a build and deployment process for the Docker container.
Deploy the updated Docker container to new EC2 instances as needed for each userID and userID_caseID combination.
Ensure instances are updated with the latest code changes without manual intervention.
Configure instances to automatically shut down 10 minutes after inactivity.

Definition of Done

When code changes are pushed to the GitHub repository, they are automatically built, tested, and deployed to the relevant EC2 instances. Users can access a LibreChat general chat upon login and case-specific chats when accessing a case. EC2 instances automatically shut down after 10 minutes of inactivity, ensuring efficient resource usage.

Which components are impacted by your request?

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