Service that allows users to find book recommendations based on their past reading history and preferences.
Day 1 - Project Setup, Planning, and Test Framework Setup:
- Initialize the GitHub repository and set up version control.
- Set up the development environment.
- Plan out REST API endpoints in detail.
- Set up a testing framework.
Day 2 - Database Design, Setup, and Test:
- Design the database schema.
- Set up the database.
- Write tests to ensure the database has been set up correctly and the application can connect to it.
Day 3 - User Management Microservice:
- Write tests for the user management service endpoints.
- Implement and refine the user management service until the tests pass.
Day 4 - Book Management Microservice:
- Write tests for the book management service endpoints.
- Implement the book management service and refine it until the tests pass.
Day 5 - User-Book Management Microservice:
- Write tests for the user-book management service endpoints.
- Implement the user-book management service and refine it until the tests pass.
Day 6 - Recommendation Engine:
- Write tests for the recommendation algorithm, starting with a simple one.
- Start work on the recommendation engine and refine it until the tests pass.
Day 7 - Expand and Refine Recommendation Engine:
- Continue writing tests for more complex recommendation algorithms.
- Continue work on the recommendation engine, refining your recommendation algorithm until the tests pass.
Day 8 - Documentation, Logging, and Testing:
- Document API endpoints.
- Set up a structured logging system for the application.
- Review tests and add any additional tests needed to ensure full coverage.
Day 9 - Debugging and Deployment Preparation:
- Debug any issues that come up during testing.
- Prepare application for deployment.
Day 10 - Deployment and Final Touches:
- Deploy the application to a server or cloud provider.
- Test live application to make sure everything works as expected.
- Write a README for the GitHub repo.