Program that request data from the OpenFoodFacts API, parse and store into a database for offline use, you can then search for a product within different categories and find a substitute with a better nutriscore grade.
This project is in CLI also know as command-line interface, it will be available in a web app interface in the near future.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Make sure to have Python 3x installed on your computer Run the following in your command prompt
python
I used Python 3.8.0 to built this program, Python 3.0 to 3.8 will work.
A step by step that tell you how to get my code up and running :
- Clone my repo
git clone https://github.com/Mcflan-7/P5_OpenFoodFacts.git
- Set up your virtual environnement (using venv for this example, any will do)
python -m venv venv
-
Activate your virtual environement with
Windows: source venv/Scripts/activate MacOS: source venv/bin/activate -
Install the requirement with
pip install -r requirements.txt
- Create database
CREATE DATABASE openfoodfacts CHARACTER SET 'utf8mb4' COLLATE 'utf8mb4_unicode_ci';
- Launch installation script
python -m install
- Launch the programme
python -m openfoodfacts
- Python - The programming language that lets you work quicklyand integrate systems more effectively
- VSCODE - The code editing redefined
- Gaëtan GROND - Initial work - GITHUB