fastapi-microservice-demo

This application consists of four main services:

• Gateway Service: This service acts as the entry point for all incoming requests. It routes requests to the appropriate microservices and handles the overall orchestration of the application.
• ML Service: The ML service is responsible for processing image data. It uses Keras OCR to extract text from images and communicates with the Gateway Service to receive image data and send back the extracted text.
• Auth Service: The Auth service handles user authentication and email verification. It includes functionality for registering users, generating and verifying OTPs, and ensuring email verification.
• Notification Service: This service is responsible for sending emails to users. It is triggered when processes are completed .

Architecture Diagram

Project Setup Instructions

• postgres database setup using docker
  • Make sure that system has docker installed on it.
  • open cmd and enter below command

docker run --name postgres-db -e POSTGRES_PASSWORD=12 -d -p 5432:5432 postgres

• RabbitMQ setup using docker
  • Make sure that system has docker installed on it.
  • open cmd and enter below command

docker run -it --rm --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:3.13-management

• Fork and Clone the repo using

https://github.com/shantanu1905/fastapi-microservice-demo.git

• Install the Dependencies from requirements.txt
• Make sure your system has python 3.11.8 installed and before installing dependencies make sure your virtual environment is activated for each microservice .

 pip install -r requirements.txt 

• Run the Server for each micro-service using following command

python main.py