READ THIS DOCUMENT COMPLETELY BEFORE STARTING THE ASSESSMENT

Because of the excellent work you did before, Cognizant has been hired to help the now successful online clothing company Ali Snobba become even more successful.

As part of the engagement, their monolithic e-commerce app is being reorganized into a microservices architecture.

• Factor out their search feature into a separate ProductSearch service based on the requirements below.

• You have 1 hour and 30 minutes to complete this assessment. (Ends at 12pm.)
• Once you are done, take lunch and be back in the room at 1pm sharp for assessment 3.

• As a customer, I can filter search results by brand.
• As a customer, I can filter search results by color.
• As a customer, I can filter search results by price range.
• As a customer, I can combine multiple filters.

Assuming you have a ProductService that connects to your ProductRepository, the following code can be used/modified to load the test data above. This can be put in your Main class or a configuration class - it's up to you.

@Bean
CommandLineRunner runner(ProductService productService) {

    return args -> {

        // adding test data
        productService.save(Product.builder().withCategory("dresses").withBrand("gucci").withColor("yellow").withPrice(2272.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("gucci").withColor("red").withPrice(1966.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("marni").withColor("brown").withPrice(999.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("marni").withColor("pink").withPrice(1129.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("bottega veneta").withColor("black").withPrice(2200.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("prada").withColor("black").withPrice(1650.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("victoria beckham").withColor("blue").withPrice(927.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("celine").withColor("beige").withPrice(1901.0).build());
        productService.save(Product.builder().withCategory("dresses").withBrand("jil sander").withColor("orange").withPrice(511.0).build());


    };
}

If your Product class doesn't use a Builder, you can adjust the code above to work with a Product constructor as well.

• Use Spring.
• Use Spring REST services.
• Use Spring Data JPA.
• Use an in-memory H2 database.
• Use plain Java (and Spring) to search -- don’t over-engineer the exercise by trying to use frameworks like ElasticSearch.
• Write clean, modularized code.
• Make small, meaningful git commits.
• Write unit tests.

• There is NOT a free-text search aspect to this -- just filter on brand, color, price range, as stated.
• There is NOT a UI aspect to this exercise. You are ONLY making the “headless” search service via a RESTful interface.
• There IS a database aspect to this exercise. Use Spring Data JPA to store data in an H2 database.
• Use a CommandLineRunner to pre-load the database with the data above. (See example code above on how to do this.)
• ONLY implement what is specified above. If you aren’t sure whether something is in scope, ask!

• Fork this repo to your own github account.
• Check out your new repo into your IDE.
• Commit your code often and when you're done with the assessment.
• Don't change the name of the repo.

• 5% - Project completed.
• 10% - Code compiles, builds and runs.
• 10% - Unit tests passed.
• 15% - Followed instructions fully.
• 20% - Unit tests written.
• 20% - Coding best practices used.
• 20% - Implemented all stories.