qai-server 0.5.4

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QAI-Server

QAI-Server is a Docker-based application designed to be a web interface for other projects inside of QRev.

Features

• Dockerized application for consistency and portability
• Campaign management
• Provides RESTful API endpoints for various tasks

Requirements

• Python 3.11
• Docker
• Poetry

Getting Started

Clone the Repository

git clone https://github.com/qrev-ai/qrev.git

Go to the project folder

cd qrev/ai/projects/server

Setting up the .env file and config.toml file

For the .env file you can see the example placed in examples/example.env

Build and Run with Docker

Ensure that Docker is installed and running. Then, use the provided Makefile to build and run the project:

1. Build the Docker Image

   make build
   

2. Run the Application

   make up
   

   The application should be running on http://localhost:8081.

Run Unit Tests

Run the project's unit tests using the Makefile:

make test

Makefile Commands

• make test: Run all unit tests.
• make .build: Build the project using Poetry.
• make publish: Publish the project after building it.
• make heartbeat: Check if the server is alive.
• make loglevel: Set the server's log level.
• make list_collections: List all collections from the Chroma API.
• make campaign: Send a campaign query to the server.

AWS Commands

• make authenticate: Authenticate to the AWS ECR.
• make deploy_service: Deploy the service to an AWS ECS cluster.