Welcome to the Image Processing Distributed Service! This service allows you to process thousands of images collected from stores in a distributed and scalable manner. Follow the steps below to set up and run the service locally.

git clone git@github.com:srrathi/distributed-image-processor.git

change directory to project root directory

cd distributed-image-processor

1. After setting up everything, open four terminal instances in the root of the project folder.

2. Run the following commands to start the 4 microservices in 4 terminals:

go run services/jobStatus/main.go
go run services/submitJob/main.go
go run services/storeVisits/main.go
go run services/consumer/main.go

3. The services for the three endpoints and the image processing consumer will start working in a first-in-first-out manner.

Use the provided Postman Collection for testing the endpoints.

• Learn RabbitMQ for Event-Driven Architecture (EDA)
• RabbitMQ and Golang
• Go, RabbitMQ and gRPC Clean Architecture microservice
• https://dev.to/francescoxx/build-a-crud-rest-api-in-go-using-mux-postgres-docker-and-docker-compose-2a75
• https://semaphoreci.com/community/tutorials/building-and-testing-a-rest-api-in-go-with-gorilla-mux-and-postgresql
• https://rohinivsenthil.medium.com/rabbitmq-in-golang-getting-started-34c65e6c7f92
• https://medium.com/@ozdemir.zynl/rest-api-error-handling-in-go-behavioral-type-assertion-509d93636afd
• https://dev.to/kittipat1413/a-guide-to-input-validation-in-go-with-validator-v10-56bp
• https://www.sqlshack.com/getting-started-with-postgresql-on-docker/
• https://chat.openai.com

If you encounter any issues or have suggestions for improvement, feel free to open an issue or submit a pull request.

Happy processing!