Spring boot api receiving instructions to hoover a room.
The input instructions as well as the results are saved to an embedded h2
database.
The Dockerfile builds the package. To build the container:
docker build -t hoover .
To run it:
docker run -p 8080:8080 hoover
curl --request POST \
--url http://localhost:8080/hoover/start \
--header 'Content-Type: application/json' \
--data '{
"roomSize" : [5, 5],
"coords" : [1, 2],
"patches" : [
[1, 0],
[2, 2],
[2, 3]
],
"instructions" : "NNESEESWNWW"
}'
{
"coords" : [1, 3],
"patches" : 1
}
The h2
database contains two tables, input
and result
.
The two tables can be joined via a foreign key (input_id) in the result table:
SELECT input.id as run_id, input.start_position, result.end_position, input.directions, input.patches_in_room, input.room_size, result.cleaned_patches
FROM RESULT
join input on input.id = result.input_id
- use an interceptor to write automatically to the db on every request
- this would add entries even though the request never entered the hooverService.start() method
- write errors to the database
- refactor the converters and remove code duplication
- improve database representation of entities (instead of strings for coords)
- add swagger doc
- use different profiles with different configurations
- ensure database transactions are ACID
- implement custom exceptions
- create cloud instance for the database (e.g. AWS RDS)
- run this API in kubernetes (e.g. on AWS EKS). Scaling horizontally, accessing same RDS (which also can be scaled)
You will write a service that navigates a imaginary robotic hoover (much like a Roomba) through an equally imaginary room based on:
- room dimensions as X and Y coordinates, identifying the top right corner of the room rectangle. This room is divided up in a grid based on these dimensions; a room that has dimensions X: 5 and Y: 5 has 5 columns and 5 rows, so 25 possible hoover positions. The bottom left corner is the point of origin for our coordinate system, so as the room contains all coordinates its bottom left corner is defined by X: 0 and Y: 0.
- locations of patches of dirt, also defined by X and Y coordinates identifying the bottom left corner of those grid positions.
- an initial hoover position (X and Y coordinates like patches of dirt)
- driving instructions (as cardinal directions where e.g. N and E mean "go north" and "go east" respectively)
The room will be rectangular, has no obstacles (except the room walls), no doors and all locations in the room will be clean (hoovering has no effect) except for the locations of the patches of dirt presented in the program input.
Placing the hoover on a patch of dirt ("hoovering") removes the patch of dirt so that patch is then clean for the remainder of the program run. The hoover is always on - there is no need to enable it.
Driving into a wall has no effect (the robot skids in place).
The goal of the service is to take the room dimensions, the locations of the dirt patches, the hoover location and the driving instructions as input and to then output the following:
- The final hoover position (X, Y)
- The number of patches of dirt the robot cleaned up
The service must persist every input and output to a database.
Program input will be received in a json payload with the format described here.
Example:
{
"roomSize" : [5, 5],
"coords" : [1, 2],
"patches" : [
[1, 0],
[2, 2],
[2, 3]
],
"instructions" : "NNESEESWNWW"
}
Service output should be returned as a json payload.
Example (matching the input above):
{
"coords" : [1, 3],
"patches" : 1
}
Where coords
are the final coordinates of the hoover and patches is the number of cleaned patches.
The service:
- is a web service
- must run on Mac OS X or Linux (x86-64)
- must be written in any of the languages that we support with our SDKs (Java, C#, Python, Ruby, PHP, Node, Go)
- can make use of any existing open source libraries that don't directly address the problem statement (use your best judgement).
Send us:
- The full source code, including any code written which is not part of the normal program run (scripts, tests)
- Clear instructions on how to obtain and run the program
- Please provide any deliverables and instructions using a public Github (or similar) Repository as several people will need to inspect the solution
The point of the exercise is for us to see some of the code you wrote (and should be proud of).
We will especially consider:
- Code organisation
- Quality
- Readability
- Actually solving the problem
This test is based on the following gist https://gist.github.com/alirussell/9a519e07128b7eafcb50