Job application test - Vivo's 4th platform

This repository contains coding developed for Vivo's 4th Platform* job application.

🐍 Python was the programming language chosen to solve the test.

* To learn more about Vivo's 4th Platform.

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Contents

• 📄 Test subject (PDF)
• 📁 Exercice 1 - an algorithm that counts how many times each element in a given array occurs in a given matrix.
• 📁 Exercice 2 - exercise 1 algorithm transformed into an API RESTful.
• 📁 Exercice 3 - an API that reads a race log file and calculates race results.

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Study reference

Virtual Environment

1. Install venv

$ sudo apt install python3-venv

2. Create new virtual environment - creates venv\

$ cd my_flask_app
$ python3 -m venv venv

3. Activate virtual environment - (venv) $ is shown in shell's prompt

$ source venv/bin/activate

4. Deactivate virtual environment

(venv) $ deactivate

Numpy

1. Installing Numpy

(venv) $ pip install numpy

Pandas

1. Installing Pandas

(venv) $ pip install pandas

Flask

1. Installing Flask and packages

(venv) $ pip install Flask
(venv) $ pip install flask-restful

Note: within the virtual environment, you can use the command pip instead of pip3 and python instead of python3.

2. Verify the installation

(venv) $ python3 -m flask --version

3. Run the application

(venv) $ export FLASK_APP=app.py
(venv) $ flask run

Note: for Debug mode to be activated, run the following instead:

(venv) $ export FLASK_ENV=development
(venv) $ export FLASK_APP=app.py
(venv) $ flask run

Unit tests

Installing Pytest and Coverage:

(venv) $ pip install pytest coverage pytest-cov

Useful links

• Flask installation - from documentation
• Flask installation - tutorial
• Flask-RESTful documentation
• Flask RESTplus Tutorial (studies-diary)
• How do you POST a JSON file with curl??
• RESTful-Flask parsing JSON Arrays with parse_args()
• Pandas - convert minutes to second
• TDD com Flask e Unittest
• Flask documentation - Testing Flask Applications
• Flask documentation - Handling Application Errors