Documentation

1. Web application of Farm management
2. DFS of the matrix

Web application

Create a web application for farm management that consists of one page. It will be used only by one farmer. He/she can list, add, and remove animals in the system. Every animal has only a “Name” property that should be unique. The frontend should be written on Angular. The backend is on ASP.NET Core. Use in-memory storage on the server side. The source code should be production ready.

Project contains the following namespaces and organization modules:

• Backend based on .NET Core WebAPI
  Uses service architecture principles for easy testing and team work.

• Backend Web
  .NET Core Web API application.

• Backend Dal
  Common library for Data Access Layer.
  Includes exception hierary, general repository and entities which are specific for implementation of access layer.

• Backend Dal InMemory
  Certain library for Data Access Layer implemented via InMemory.
  Uses LazyCache (https://github.com/alastairtree/LazyCache) and certain implementation of repositories.

• Backend Models
  Common library for Models.
  Includes DTO, request/response objects.

• Backend Services
  Includes implementation of service layouts for the farm, models mappings profiles.

• Backend unit tests
  Uses Autofixture and NUnit.

• Frontend based on Angular
  Uses service architecture principles for easy testing and team work.

• Frontend unit tests
  Uses Karma and Jasmine.

• Scripts
  The folder contains docker, circleci, git and other scripts.

How to run

1. Under the folder (./src/farmManagement/frontend/FarmManagement.Web) perform npm install
2. Run WebAPI project

DFS of the matrix (Deep First Search)

Create a Application that accepts a matrix of values 0 and 1. The application should output only one value into the console – number of areas formed of number 1. The matrix is presented as a string value where ‘,’ is used as a separator for columns, ‘;’ is used as a separator for rows. For instance, “1,0,1;0,1,0” string value should be converted to the matrix [[1,0,1], [0,1,0]].