test_docker

This repository presents a solution for the problem Sparse Array from HackerRank.

The tree of this repository is:

├── README.md
├── docker_with_flask
│   ├── Dockerfile
│   ├── input_string.txt
│   ├── main.py
│   ├── requirements.txt
│   ├── sparseArray.py
│   └── swagger_config.yml
└── docker_without_flask
    ├── Dockerfile
    ├── input_string.txt
    ├── main.py
    └── sparseArray.py

Description of the files:

• The main differences between both folders are in the files main.py and Dockerfile.

• The use of Flask and Swagger implies the use of a requirements.txt file and the swagger_config.yml.

• The file sparseArray.py is the same for both folders.

• The file input_string.txt is the INPUT_FILE for both Dockers. An environment variable was set in the Dockerfile to read this file.

Using Docker without Flask

The folder docker_without_flask includes a solution using Docker and running a query by command line.

To build the Docker image, use the command:

docker build . -t test_mdm

To run the query, run the folllowing command from the folder:

docker run -t test_mdm ab,na,de

The last argument of the former command represents the query.

Using Docker with Flask

The foler docker_with_flask includes a solution using Docker, Flask and Swagger for a proper render of the API.

To build the Docker image, use the command:

docker build . -t test_mdm

The application runs in the port 8791. This port is exposed in the Dockerfile to get access to the app.

To run the application, run the following command from the folder:

docker run -p 8791:8791 -t test_mdm

The Swagger render of the application will be available on: http://0.0.0.0:8791/swagger/

You will be able to perform a query in the application.