The Service is responsible for choosing a discount percentage to be applied to a price randomly, however, the hour of the purchase may affect the discount percentage amount.
One the Service, the consumer must inform the product's date/time of purchase and price.
Based on the time of purchase, the service/API will define, randomly, a discount percentage applied to the value. The objective is to benefit purchases made earlier with the POSSIBILITY of obtaining a better discount. The maximum potential discount is 24%, nonetheless, for each lost hour, the chances are reduced by 1%.
Example: For purchases performed at 00h, the discount will be in the range of 0% to 24%. But for the purchases made at midday, the possible discount will be limited between into a range of 0 and 12%
- A service that calculates a price of something (the candidate can be creative, it can be a static value, a random value, a base value plus the seconds fraction of current time).
- Must be implemented in Java.
- Not focus on data storage.
- Quality Assurance: Must implement unit test
Example:
Scenario 1: Purchase made at 00h: A percentage shall uo to 24%.
Scenario 2: Purchase made at 12:00 pm: A percentage shall up to 12%
Scenario 1: Purchase made at 11:00 pm: A percentage shall up to 1%
POST: /prices
Content Type: application/json
body:
{
"price": 100,
"dateTime": "2021-07-14T00:49:55"
}
response:
{
"price": 100,
"priceWithDiscount": 80.0,
"description": "Purchase time: 0, Discount: 20%",
"dateTime": "2021-07-14T00:49:55.942056779"
}
To implement the solution were used the below frameworks and tools were:
| Technology / Framework / Tool | Version | Motivation |
|---|---|---|
| Java | 11 | A base requirement |
| Spring Boot | 2.5.2 | Spring boot was used to help us autoconfigure the application, we can use the built-in tomcat. |
| Spring WEB MVC | 2.5.2 | To user by easily way the MCV architecture built-in Spring Boot. |
| Spring WEB MVC | 2.5.2 | To user by easily way the MCV architecture built-in Spring Boot. |
| Lombook Framework | 1.18 | It was used to help us with data classes implementing some boilerplate code such as getters and setters methods and Data Builder Pattern. |
| JUnit + Mockito | 4.12 | To work with unit tests and scenario simulation |
- Backend
git clone https://github.com/FabricioEntringerMoreira/pricing.git
To test the consistency of the application's deployment and its external use, I made the application available in a free service for testing purposes.
POST Pricies: https://pricing-fem.herokuapp.com/prices