Loïc GUEZO f5d5703e49 fix(scraper): recherche _getproduitslist actualisé
Suite à une refont de l'UI et du backend, la structure de données JSON envoyé par la page web a été simplifié.

Ancienne structure:

- `"props"->"pageProps"->"initialReduxState"->"categ"->"content->"produits"`

Nouvelle structure:

- `"props"->"pageProps"->"produits"`
2026-03-27 21:47:06 +01:00
2026-03-06 21:34:34 +01:00
2026-02-11 23:58:51 +01:00
2026-03-05 22:06:00 +01:00

Millesima AI Engine 🍷

A University of Paris-Est Créteil (UPEC) Semester 6 project.

Documentation

note: only french version enabled for now.


Installation

Make sure you have Python 3.10+ installed.

  1. Clone the repository:

    git clone https://github.com/votre-pseudo/millesima-ai-engine.git
    cd millesima-ai-engine
    
  2. Set up a virtual environment:

    python3 -m venv .venv
    source .venv/bin/activate  # Windows: .venv\Scripts\activate
    
  3. Install dependencies:

    pip install -e .
    

Usage

1. Data Extraction (Scraping)

To fetch the latest wine data from Millesima:

python3 src/scraper.py

Note: that will take some time to fetch all data depending on the catalog size.

Description
A machine learning engine designed for wine price prediction, specifically tailored for the famous French wine retailer, Millesima
Readme 1.9 MiB
Languages
Python 100%