sudoku-challenge

A standard Sudoku contains 81 cells, in a 9×9 grid, and has 9 boxes, each box being the intersection of the first, middle, or last 3 rows, and the first, middle, or last 3 columns. Each cell may contain a number from one to nine, and each number can only occur once in each row, column, and box. A Sudoku starts with some cells containing numbers (clues), and the goal is to solve the remaining cells. Proper Sudokus have one solution. Players and investigators use a wide range of computer algorithms to solve Sudokus, study their properties, and make new puzzles, including Sudokus with interesting symmetries and other properties.

Prerequisites:

NPM 14.X

Docker

docker-compose

helm -for production

skaffold -for production

minikube (or any other kubernetes cluster) -for production

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Clone

git clone https://gitlab.com/Moeidtopcoder/sudoku-challenge.git

cd sudoku-challenge

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Hierarchy

├── k8s
│   └── templates
│       └── tests
├── scripts
├── src
│   ├── application
│   │   ├── controllers
│   │   └── dtos
│   ├── domain
│   │   ├── decorators
│   │   ├── entities
│   │   ├── enums
│   │   │   └── httpResponse
│   │   ├── exceptions
│   │   ├── guards
│   │   ├── helpers
│   │   ├── interceptors
│   │   ├── interfaces
│   │   ├── modules
│   │   │   └── common
│   │   ├── pipes
│   │   └── services
│   │       └── common
│   └── infrastructure
│       ├── config
│       └── modules
│           └── common
└── __test__
    ├── controllers
    ├── e2e
    ├── factories
    └── service

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Instllation

cd scripts
bash start.h {argument}

Arguments:

bash start.h -h

-h, --help              Print this help and exit
-build_docker           Build the docker image called "sudoku:latest"
-build_and_run_docker   Build the docker image and run on local machine
-stop_docker            Stop running docker container named "sudoku"
-run_app                Run application with npm in usual way for development
-run_test               Run npm test
-run_lint               Run npm lint
-generate_doc           Generate the code documentation
-deploy_on_kubernetes   you need to have a kubernetes cluster already up and running on the machine.