docs: update README, add DB schema (Mermaid) and roadmap

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# HabitForge 🎯
# 🏋️ HabitForge
HabitForge is a powerful, self-hosted habit tracking and gamification platform designed to help users build and maintain consistent routines. It combines a robust Python backend with a dynamic, modern frontend to provide a premium user experience.
> Plateforme auto-hébergée de suivi d'habitudes, de santé et de fitness avec companion app Android
![License](https://img.shields.io/badge/license-MIT-blue.svg)
![Python](https://img.shields.io/badge/python-3.9+-blue.svg)
![FastAPI](https://img.shields.io/badge/FastAPI-0.109.0-009688.svg)
![TailwindCSS](https://img.shields.io/badge/TailwindCSS-CDN-38bdf8.svg)
## 📖 Overview
HabitForge allows users to create custom challenges (daily, weekly, monthly), track their progress with detailed analytics, and stay motivated through gamification elements like badges and streaks. The application is built with a **Mobile-First** design philosophy, ensuring a seamless experience across all devices.
### Key Features
* **🏆 Gamification:** Earn badges for streaks, total reps, and consistency.
* **📊 Analytics:** Visual charts (reps, completion rates) and consistency heatmaps.
* **🔁 Flexible Challenges:** Support for Daily, Weekly (specific days), and Monthly targets.
* **🧠 Smart Tracking:** Tracks reps, completion status, and optional notes per day.
* **🌗 Dark Mode:** Fully supported dark/light themes with persistence.
* **📱 Responsive UI:** Built with Tailwind CSS for a fluid experience on mobile and desktop.
* **🔐 Authentication:** Secure JWT-based user authentication system.
* **🖱️ Drag & Drop:** Reorder challenges easily to prioritize your focus.
![Python](https://img.shields.io/badge/python-3.10+-blue.svg)
![FastAPI](https://img.shields.io/badge/FastAPI-0.141-009688.svg)
![Kotlin](https://img.shields.io/badge/Kotlin-Android-purple.svg)
![Docker](https://img.shields.io/badge/Docker-Ready-2496ED.svg)
![PostgreSQL](https://img.shields.io/badge/PostgreSQL-15-336791.svg)
---
## 🛠 Tech Stack
## 📖 Vue d'Ensemble
HabitForge est bien plus qu'un simple tracker d'habitudes. C'est une plateforme complète qui combine :
- 🎯 **Suivi d'habitudes** avec défis personnalisables (reps, minutes, km, pages...)
- 📊 **Dashboard santé** connecté à Health Connect (Android) et Zepp/Amazfit
- 📱 **Companion app Android** pour synchronisation automatique des données de santé
- 🧠 **Analytics avancés** : readiness score, corrélations, tendances
- 🏗️ **Architecture scalable** : SQLite pour le dev, PostgreSQL pour la prod
---
## ✨ Fonctionnalités
### 🎯 Challenges & Habitudes
- **Défis flexibles** : quotidien, hebdomadaire (jours spécifiques), mensuel, annuel
- **Multi-unités** : reps, minutes, pages, kilomètres
- **Jours de repos** configurables
- **15 exercices animés** (GIFs) comme références visuelles
- **Icônes FontAwesome** personnalisables
- **Drag & drop** pour réorganiser les priorités
- **Statistiques** : streak, taux de complétion, reps totales
- **Heatmap de consistance** (vue calendrier)
### 📊 Dashboard Santé
- **Widgets interactifs** avec jauges semi-circulaires (Canvas API)
- Steps quotidiens
- Calories brûlées
- Fréquence cardiaque (min/max/repos)
- SpO2
- Poids (lbs/kg) & BMI avec tendances
- **Décomposition du sommeil** : profond, léger, REM, éveillé
- **Graphiques d'historique** (Chart.js) : 7j, 30j, 365j
- **Readiness Score** quotidien basé sur HRV, RHR et sommeil
- **Contexte subjectif** : humeur, tags, notes
### 📱 Android Companion App
- **Lecture native Health Connect** (tous les types de données)
- **Sync automatique** configurable (1h, 3h, 6h, 12h, 24h)
- **15 types de données brutes** synchronisées (steps, HR, sleep stages, SpO2, poids, nutrition...)
- **Historique des synchronisations** avec stats détaillées
- **Test de connexion** serveur avec temps de réponse
- **Validation de schéma** des données avant sync
- **Indicateur de statut** serveur en temps réel
### 🔄 Intégrations
- **Health Connect** (Android) — sync native via companion app
- **Zepp/Amazfit** — import CSV des données exportées
- **Architecture Provider** — extensible pour futures sources (Google Fit, Apple Health, Garmin...)
- **Agrégation on-demand** — calcul des métriques à partir des données brutes
### 🎨 UX/UI
- **Mobile-First** design (Tailwind CSS)
- **Dark Mode** avec persistance
- **Jauges animées** Canvas pour poids et BMI
- **Modales** pour détails des métriques
- **Navigation par onglets** fluide
---
## 🛠 Stack Technique
### Backend
* **Framework:** [FastAPI](https://fastapi.tiangolo.com/) (High performance, easy to learn)
* **Database ORM:** [SQLAlchemy](https://www.sqlalchemy.org/)
* **Database:** SQLite (Default, stored in `./data/habitforge.db`)
* **Authentication:** OAuth2 with Password (and hashing via Argon2/Passlib)
* **Schema Validation:** Pydantic Models
| Composant | Technologie |
|:---|:---|
| Framework | FastAPI 0.141 |
| ORM | SQLAlchemy 2.0 |
| Auth | JWT (OAuth2 Password Flow) + Argon2 |
| Validation | Pydantic 2.0 |
| Rate Limiting | SlowAPI |
| Migrations | Alembic |
| Server | Uvicorn (dev) / Gunicorn + Uvicorn Workers (prod) |
### Frontend
* **Core:** Vanilla JavaScript (ES6+)
* **Styling:** [Tailwind CSS](https://tailwindcss.com/) (via CDN for simplicity)
* **Icons:** FontAwesome 6
* **Animations:** Anime.js
* **Charts:** Chart.js
* **Drag & Drop:** SortableJS
| Composant | Technologie |
|:---|:---|
| Core | Vanilla JavaScript (ES6+) |
| CSS | Tailwind CSS (CDN) |
| Charts | Chart.js |
| Icons | FontAwesome 6 |
| Animations | Anime.js + Canvas API |
| Drag & Drop | SortableJS |
### Android
| Composant | Technologie |
|:---|:---|
| Langage | Kotlin |
| HTTP Client | Retrofit |
| Health SDK | Android Health Connect API |
| UI | Jetpack + Material Design |
| Auth | JWT token management |
### Infrastructure
* **Containerization:** Docker & Docker Compose
* **Server:** Uvicorn (ASGI)
| Environnement | Configuration |
|:---|:---|
| Dev simple | `docker-compose.yml` — SQLite |
| Dev complet | `docker-compose.dev.yml` — PostgreSQL + CloudBeaver |
| Production | `docker-compose.prod.yml` — Nginx + Gunicorn + Backup auto |
---
## 🚀 Getting Started
## 🚀 Démarrage Rapide
### Prerequisites
### Prérequis
- Docker & Docker Compose
- Git LFS (pour les GIFs)
Before you begin, ensure you have the following installed:
* **Docker** and **Docker Compose**
* **Python 3.9+** (if running locally without Docker)
* **Google OAuth Credentials** (optional, for health metrics sync)
#### Environment Setup
HabitForge uses environment variables for configuration.
1. **Copy the example file:**
```bash
cp .env.example .env.development
# Also create production if needed
cp .env.example .env.production
```
2. **Edit the files:** Fill in your `SECRET_KEY` and Google API credentials.
---
### 🐳 Running with Docker (Recommended)
HabitForge provides several Docker Compose configurations depending on your needs:
#### 1. Simple Mode (SQLite)
Perfect for a quick test or personal use with zero database configuration.
### Dev complet (PostgreSQL + interface DB)
```bash
# Uses docker-compose.yml
docker-compose up -d --build
git clone https://git.dracodev.net/Projets/HabitForge.git
cd HabitForge
docker compose -f docker-compose.dev.yml up -d --build
```
* **Database:** SQLite stored in `./data/habitforge.db`
* **Access:** `http://localhost:8000`
#### 2. Development Mode (PostgreSQL)
Ideal for development with a robust database and hot-reloading enabled.
```bash
# Uses docker-compose.dev.yml
docker-compose -f docker-compose.dev.yml up -d --build
```
* **Database:** PostgreSQL 15
* **Features:** Auto-reload enabled in the backend.
* **Access:** `http://localhost:8000`
**Accès :**
- 🌐 App : http://localhost:8000
- 🗄️ CloudBeaver (DB GUI) : http://localhost:8978 (admin/admin)
- 📖 API Docs : http://localhost:8000/docs
#### 3. Production Mode (Full Stack)
The professional setup with security and performance in mind.
### Mode simple (SQLite)
```bash
# Uses docker-compose.prod.yml
docker-compose -f docker-compose.prod.yml up -d --build
docker compose up -d --build
```
### Production (Nginx + backup auto)
```bash
# Configurer .env.production d'abord
docker compose -f docker-compose.prod.yml up -d --build
```
* **Components:**
* **Nginx:** Reverse proxy with SSL/TLS support.
* **Gunicorn:** Production-grade WSGI server with multiple workers.
* **PostgreSQL:** Dedicated database container.
* **Backup:** Automatic daily database backups to `./backups`.
* **Access:** `http://localhost` (or your configured domain)
---
### 🐍 Local Development (Manual)
## 📂 Structure du Projet
If you prefer to run the services directly on your machine:
1. **Set up Python Environment:**
```bash
python -m venv venv
# Windows
.\venv\Scripts\activate
# Linux/Mac
source venv/bin/activate
```
2. **Install Dependencies:**
```bash
pip install -r requirements.txt
```
3. **Run the Server:**
```bash
# Ensure your .env file is present or env vars are set
uvicorn backend.main:app --reload --host 0.0.0.0 --port 8000
```
---
## 📂 Project Structure
```plaintext
```
HabitForge/
├── backend/ # Python FastAPI Backend (Modular Architecture)
│ ├── api/v1/ # API Routes (Auth, Challenges, Health)
│ ├── core/ # Configuration, Security, Dependencies
│ ├── models/ # SQLAlchemy Database Models
│ ├── schemas/ # Pydantic Validation Schemas
│ ├── services/ # Business Logic Layer
│ ├── repositories/ # Data Access Layer
│ └── integrations/ # External APIs (Google Fit, Zepp)
├── frontend/ # Static Frontend Assets
│ ├── app.js # Main frontend logic
│ └── index.html # Dashboard
├── data/ # SQLite storage (if used)
├── nginx/ # Nginx configuration and SSL certificates
├── scripts/ # Database migrations and backup scripts
├── docker-compose.yml # Simple SQLite configuration
├── docker-compose.dev.yml # Development (Postgres) configuration
└── docker-compose.prod.yml # Production (Nginx + Postgres + Backup) configuration
├── backend/ # API FastAPI
│ ├── api/v1/ # Routes REST
│ │ ├── auth.py # Authentification JWT
│ │ ├── challenges.py # CRUD Challenges + Tracking
│ │ ├── health.py # Stats santé + Workouts
│ │ ├── health_connect.py # Sync Health Connect (legacy)
│ │ ├── health_connect_raw.py# Sync données brutes (15 types)
│ │ └── health_analytics.py # Analytics + Readiness Score
│ ├── core/config.py # Configuration (pydantic-settings)
│ ├── models/ # 25 modèles SQLAlchemy
│ │ ├── user.py # Comptes utilisateurs
│ │ ├── challenge.py # Défis
│ │ ├── tracking.py # Suivi quotidien
│ │ ├── daily_health_metrics.py # Métriques agrégées legacy
│ │ ├── daily_context.py # Contexte subjectif (mood)
│ │ ├── workout_session.py # Sessions manuelles
│ │ ├── health_connect.py # Sync logs + métriques HC
│ │ └── health_connect_raw.py# 15 tables raw HC
│ ├── services/ # Couche métier
│ │ ├── auth_service.py
│ │ ├── challenge_service.py
│ │ ├── health_service.py
│ │ └── aggregation_service.py # Agrégation on-demand
│ ├── integrations/ # Providers données santé
│ │ ├── health_provider.py # Interface abstraite
│ │ ├── health_connect_provider.py
│ │ └── import_zepp.py # Import CSV Zepp
│ ├── schemas/ # Validation Pydantic
│ ├── repositories/ # Data access layer
│ └── database.py # Engine + Session
├── frontend/ # SPA vanilla JS
│ ├── index.html # Dashboard principal
│ ├── login.html # Page login
│ ├── app.js # Logique applicative (4300+ lignes)
│ └── static/ # 15 GIFs d'exercices (LFS)
├── android-companion/ # App Android Kotlin
│ └── app/src/main/java/com/habitforge/companion/
│ ├── MainActivity.kt # UI principale
│ ├── HealthConnectManager.kt # Lecture Health Connect
│ ├── SyncService.kt # Service background
│ ├── RawDataSyncService.kt# Sync données brutes
│ ├── HabitForgeApi.kt # Client Retrofit
│ └── ... # 17 fichiers Kotlin au total
├── alembic/ # Migrations DB (9 versions)
├── nginx/ # Config Nginx + SSL
├── scripts/ # Utilitaires
│ ├── import_zepp_data.py # Import données Zepp
│ ├── migrate_to_postgres.py # Migration SQLite → PostgreSQL
│ └── backup_db.sh # Backup automatique PostgreSQL
├── docker-compose.yml # Dev simple (SQLite)
├── docker-compose.dev.yml # Dev complet (PostgreSQL + CloudBeaver)
├── docker-compose.prod.yml # Production (Nginx + Gunicorn + Backup)
├── Dockerfile # Image Python 3.10-slim
├── requirements.txt # Dépendances Python
├── DATABASE_SCHEMA.md # Schémas Mermaid
└── ROADMAP.md # Roadmap & état du projet
```
---
## 🔌 API Documentation
## 🔌 API — Principaux Endpoints
Once the server is running, you can access the automatic interactive API documentation provided by Swagger UI:
* **Docs:** `http://localhost:8000/docs`
* **Redoc:** `http://localhost:8000/redoc`
| Méthode | Endpoint | Description |
|:---|:---|:---|
| `POST` | `/api/auth/register` | Créer un compte |
| `POST` | `/api/auth/token` | Obtenir un JWT |
| `POST` | `/api/auth/refresh` | Rafraîchir le JWT |
| `GET` | `/api/auth/me` | Profil utilisateur |
| `GET/POST/PUT/DELETE` | `/api/challenges[/{id}]` | CRUD Challenges |
| `POST` | `/api/tracking` | Logger une répétition |
| `GET` | `/api/health` | Health check DB |
| `GET` | `/api/health/stats` | Statistiques santé (période) |
| `GET` | `/api/health/workouts` | Sessions d'entraînement |
| `POST` | `/api/health-connect/sync-raw` | Sync données brutes (15 types) |
| `GET` | `/api/analytics/daily` | Analytics quotidien (avec readiness) |
| `GET` | `/api/analytics/range` | Analytics plage de dates |
| `POST` | `/api/analytics/context` | Mise à jour mood/tags |
### Core Endpoints
* **Auth:** `/api/auth/register`, `/api/auth/token`
* **Challenges:**
* `GET /api/challenges`: List all user challenges
* `POST /api/challenges`: Create new challenge
* `PUT /api/challenges/reorder`: Update display order
* **Tracking:**
* `POST /api/tracking`: Log reps/completion for a date
📖 **Documentation interactive** : http://localhost:8000/docs (Swagger) | http://localhost:8000/redoc
---
## 📊 Schéma de Base de Données
Le projet contient **25 tables** organisées en 3 couches :
| Couche | Tables | Description |
|:---|:---:|:---|
| **Core** | 6 | users, challenges, tracking, daily_health_metrics, daily_context, workout_sessions |
| **Health Connect Aggregated** | 3 | sync_logs, daily_metrics, exercise_sessions |
| **Health Connect Raw** | 15 | steps, heart_rate + samples, resting_hr, sleep_sessions + stages, distance, calories, spo2, weight, height, body_fat, exercise_sessions, nutrition, hydration, hrv_rmssd |
➡️ Voir [`DATABASE_SCHEMA.md`](./DATABASE_SCHEMA.md) pour les diagrammes Mermaid complets.
---
## 🗺️ Roadmap
➡️ Voir [`ROADMAP.md`](./ROADMAP.md) pour l'état détaillé des fonctionnalités et la vision future.
### Priorités actuelles
- 🔴 Tests automatisés (pytest)
- 🔴 Cache d'agrégation (performances)
- 🟡 Badges & Achievements
- 🟡 Export de données
---
## 🔧 Configuration
All configuration is managed via Environment Variables or a `.env` file.
Copier le fichier d'exemple et adapter :
| Variable | Description | Default |
| :--- | :--- | :--- |
| `SECRET_KEY` | Key for JWT encryption | *Required* |
| `DATABASE_URL` | SQLAlchemy connection string | `sqlite:///./data/habitforge.db` |
| `CORS_ORIGINS` | Allowed origins for API | `http://localhost:8000` |
| `GOOGLE_CLIENT_ID` | Google OAuth Client ID | `""` |
| `GOOGLE_CLIENT_SECRET` | Google OAuth Client Secret | `""` |
```bash
cp .env.example .env.development
```
### Variables principales
| Variable | Description | Défaut |
|:---|:---|:---|
| `SECRET_KEY` | Clé de chiffrement JWT | *À définir* |
| `DATABASE_URL` | Chaîne de connexion DB | `sqlite:///./data/habitforge.db` |
| `CORS_ORIGINS` | Origines autorisées | `http://localhost:8000` |
| `GOOGLE_CLIENT_ID` | OAuth Google | `""` |
| `HEALTH_PROVIDER` | Provider santé | `"health_connect"` |
| `RATE_LIMIT_ENABLED` | Rate limiting | `true` |
| `DEBUG` | Mode debug | `true` |
---
## 🔐 Google OAuth Setup (Health Metrics Integration)
## 📱 Companion App Android
To enable Google Fit integration for health metrics tracking, you need to create OAuth 2.0 credentials in the Google Cloud Console.
### Step 1: Create a Google Cloud Project
1. Go to [Google Cloud Console](https://console.cloud.google.com/)
2. Click **"Select a project"** → **"New Project"**
3. Enter a project name (e.g., "HabitForge")
4. Click **"Create"**
### Step 2: Enable Required APIs
1. In your project, navigate to **"APIs & Services"** → **"Library"**
2. Search for and enable the following APIs:
- **Google Fitness API**
- **Google OAuth2 API** (usually enabled by default)
### Step 3: Configure OAuth Consent Screen
1. Go to **"APIs & Services"** → **"OAuth consent screen"**
2. Select **"External"** (unless you have a Google Workspace)
3. Fill in the required information:
- **App name:** HabitForge
- **User support email:** Your email
- **Developer contact:** Your email
4. Click **"Save and Continue"**
5. **Scopes:** Click **"Add or Remove Scopes"** and add:
- `.../auth/fitness.activity.read`
- `.../auth/fitness.body.read`
- `.../auth/fitness.heart_rate.read`
- `.../auth/fitness.sleep.read`
6. Click **"Save and Continue"**
7. **Test users:** Add your Google account email (for testing)
8. Click **"Save and Continue"**
### Step 4: Create OAuth 2.0 Credentials
1. Go to **"APIs & Services"** → **"Credentials"**
2. Click **"+ Create Credentials"** → **"OAuth client ID"**
3. Select **"Web application"**
4. Configure:
- **Name:** HabitForge Web Client
- **Authorized JavaScript origins:**
```
http://localhost:8000
https://yourdomain.com
```
- **Authorized redirect URIs:**
```
http://localhost:8000/api/google/callback
https://yourdomain.com/api/google/callback
```
5. Click **"Create"**
6. **Copy your credentials:**
- `GOOGLE_CLIENT_ID`: The Client ID (looks like `xxxxx.apps.googleusercontent.com`)
- `GOOGLE_CLIENT_SECRET`: The Client Secret
### Step 5: Update Your .env File
Add the credentials to your `.env` file:
L'application Android se synchronise avec votre instance HabitForge pour importer automatiquement vos données Health Connect.
### Build
```bash
GOOGLE_CLIENT_ID=your-client-id-here.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret-here
cd android-companion
./gradlew assembleDebug
# APK dans app/build/outputs/apk/debug/
```
### Step 6: Test the Integration
### Données synchronisées
Steps • Distance • Calories • Fréquence cardiaque • FC repos • Sommeil (phases) • SpO2 • Poids • Taille • Masse grasse • Sessions d'exercice • Nutrition • Hydratation • HRV
1. Restart your application
2. Navigate to the Health Dashboard
3. Click the **"Sync"** button
4. Authorize HabitForge to access your Google Fit data
5. Data should sync automatically
➡️ Voir [`android-companion/README.md`](./android-companion/README.md) pour la documentation complète.
---
## 🗄️ Database Configuration
## 📥 Import Zepp/Amazfit
HabitForge supports two database backends: **SQLite** (default, simple) and **PostgreSQL** (production-ready).
Si vous utilisez une montre Zepp/Amazfit, vous pouvez importer vos données :
### Option 1: SQLite (Default - Recommended for Personal Use)
SQLite requires **no additional setup** and is perfect for single-user deployments.
**Configuration:**
```bash
# .env file
DATABASE_URL=sqlite:///./data/habitforge.db
# Placer l'export dans export-zepp/
docker compose -f docker-compose.dev.yml exec web python scripts/import_zepp_data.py
```
**Characteristics:**
- ✅ Zero configuration required
- ✅ File-based (stored in `./data/habitforge.db`)
- ✅ Perfect for personal use
- ✅ Automatic backups via file copy
- ⚠️ Not recommended for high-concurrency scenarios
**Docker Compose:**
```bash
# Uses SQLite by default
docker-compose up -d --build
```
### Option 2: PostgreSQL (Recommended for Production)
PostgreSQL provides better performance, concurrency, and scalability.
#### A. Using Docker Compose (Easiest)
**Development Mode:**
```bash
# Uses docker-compose.dev.yml with PostgreSQL
docker-compose -f docker-compose.dev.yml up -d --build
```
**Production Mode:**
```bash
# Uses docker-compose.prod.yml with PostgreSQL + Nginx
docker-compose -f docker-compose.prod.yml up -d --build
```
The database credentials are configured in the respective `docker-compose` files.
#### B. Using External PostgreSQL Server
If you have an existing PostgreSQL server:
1. **Create a database:**
```sql
CREATE DATABASE habitforge;
CREATE USER habitforge_user WITH PASSWORD 'your_secure_password';
GRANT ALL PRIVILEGES ON DATABASE habitforge TO habitforge_user;
```
2. **Configure DATABASE_URL:**
```bash
# .env file
DATABASE_URL=postgresql://habitforge_user:your_secure_password@localhost:5432/habitforge
```
**Format:**
```
postgresql://[username]:[password]@[host]:[port]/[database_name]
```
**Examples:**
```bash
# Local PostgreSQL
DATABASE_URL=postgresql://postgres:password@localhost:5432/habitforge
# Remote PostgreSQL
DATABASE_URL=postgresql://user:[email protected]:5432/habitforge
# With SSL
DATABASE_URL=postgresql://user:[email protected]:5432/habitforge?sslmode=require
```
3. **Run migrations:**
```bash
alembic upgrade head
```
#### C. PostgreSQL on Cloud Providers
**Heroku Postgres:**
```bash
DATABASE_URL=postgresql://user:[email protected]:5432/dbname
```
**AWS RDS:**
```bash
DATABASE_URL=postgresql://username:[email protected]:5432/habitforge
```
**Google Cloud SQL:**
```bash
DATABASE_URL=postgresql://user:pass@/dbname?host=/cloudsql/project:region:instance
```
**DigitalOcean Managed Database:**
```bash
DATABASE_URL=postgresql://user:[email protected]:25060/habitforge?sslmode=require
```
### Switching Between Databases
To switch from SQLite to PostgreSQL (or vice versa):
1. **Update DATABASE_URL** in your `.env` file
2. **Run migrations:**
```bash
alembic upgrade head
```
3. **Restart the application:**
```bash
docker-compose down
docker-compose up -d --build
```
**Note:** Data is **not automatically migrated** between databases. You'll need to export/import data manually if switching with existing data.
➡️ Voir [`ZEPP_IMPORT.md`](./ZEPP_IMPORT.md) pour les détails.
---
### Database Migrations
The project includes Alembic for database version control.
```bash
alembic upgrade head
```
## 🤝 Contribuer
1. Fork le projet
2. Branche feature : `git checkout -b feature/AmazingFeature`
3. Commit : `git commit -m 'Add AmazingFeature'`
4. Push : `git push origin feature/AmazingFeature`
5. Pull Request
Le projet utilise **ruff** pour le linting Python et **pre-commit** pour les hooks.
---
## 🤝 Contributing
## 📄 Licence
Contributions are welcome!
1. Fork the project.
2. Create your feature branch (`git checkout -b feature/AmazingFeature`).
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`).
4. Push to the branch (`git push origin feature/AmazingFeature`).
5. Open a Pull Request.
---
## 📄 License
Distributed under the MIT License. See `LICENSE` for more information.
MIT License — voir le fichier `LICENSE`.