The main goal of this project is to gain experience with major web application technologies such as microservices, RabbitMQ, Pusher, PostgreSQL, AI assistant, Vue, and Shadcn.

The core business logic of the project is as follows:
A user can import a CSV file to fill or update the product database.
An AI assistant analyzes the file and automatically configures the correct import settings based on the file’s structure.
The user has a simple dashboard displaying a product table and a form to upload import files.

bash install-with-docker.sh

Add your GEMINI_API_KEY to the Import/.env file Get an api key. Its free ;)

Configure the following variables in Admin/.env. Sign up and get access Its free also :)

PUSHER_APP_ID=
PUSHER_APP_KEY=
PUSHER_APP_SECRET=
PUSHER_APP_CLUSTER=
PUSHER_PORT=
PUSHER_SCHEME=

nano /etc/hosts

# Insert
# 127.0.0.1 product-base.loc
# 127.0.0.1 import.loc
127.0.0.1 admin.loc

bash run-services.sh

Go to your browser and visit admin.loc or 127.0.0.1 if you didnt setup hosts

Download the collection file and import it into Postman: File

Download a test CSV file here: Downlod csv file

# Restart all services (useful for applying
# codebase changes related to queues and AMQP listeners)
bash restart-services.sh

# Stop all services
bash stop-services.sh

docker exec admin-app composer test
docker exec import-app composer test
docker exec product-base-app composer test

Extra goals

• Add Grafana for collecting microservice logs
• Add a profiler for monitoring resource usage