Traduction en anglais des fichiers

2025-10-15 07:10:44 +02:00
parent 65d94c5719
commit 21fc3a2c1f
6 changed files with 296 additions and 155 deletions
--- a/15
+++ b/15
@@ -2,30 +2,27 @@ FROM jupyter/base-notebook:latest

 USER root

-# Installation de R et des dépendances système
+# Install R and system dependencies
 RUN apt-get update && apt-get install -y \
    r-base \
    r-base-dev \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
-    texlive-xetex \
-    texlive-fonts-recommended \
-    texlive-plain-generic \
    && apt-get clean && rm -rf /var/lib/apt/lists/*

-# Installation du kernel R pour Jupyter (en tant que root)
+# Install R kernel for Jupyter (as root)
 RUN R -e "install.packages('IRkernel', repos='http://cran.rstudio.com/')" && \
    R -e "IRkernel::installspec(user = FALSE)"

-# Installation de quelques packages R utiles pour les TP
-RUN R -e "install.packages(c('tidyverse','vegan','ade4'), repos='http://cran.rstudio.com/')"
+# Install some useful R packages for labs
+RUN R -e "install.packages(c('ggplot2', 'dplyr', 'tidyr', 'readr'), repos='http://cran.rstudio.com/')"

-# Installation du kernel bash (en tant que root aussi)
+# Install bash kernel (as root also)
 RUN pip install bash_kernel && \
    python -m bash_kernel.install --sys-prefix

-# Créer les répertoires nécessaires avec les bonnes permissions
+# Create necessary directories with proper permissions
 RUN mkdir -p /home/${NB_USER}/.local/share/jupyter && \
    chown -R ${NB_UID}:${NB_GID} /home/${NB_USER}

--- a/Dockerfile.hub
+++ b/Dockerfile.hub
@@ -1,16 +1,16 @@
 FROM jupyterhub/jupyterhub:latest

-# Installation de DockerSpawner
+# Install DockerSpawner
 RUN pip install dockerspawner

-# Copie de la configuration
+# Copy configuration
 COPY jupyterhub_config.py /srv/jupyterhub/jupyterhub_config.py

-# Port exposé
+# Expose port
 EXPOSE 8000

-# Répertoire de travail
+# Working directory
 WORKDIR /srv/jupyterhub

-# Commande de démarrage
+# Startup command
 CMD ["jupyterhub", "-f", "/srv/jupyterhub/jupyterhub_config.py"]
--- a/Readme.md
+++ b/Readme.md
@@ -1,258 +1,257 @@
-# Configuration JupyterHub avec OrbStack sur Mac (tout en Docker)
+# JupyterHub Configuration with OrbStack on Mac (all in Docker)

-## Prérequis
- OrbStack installé et démarré
+## Prerequisites
+- OrbStack installed and running

-## Structure des fichiers
+## File Structure

-Votre dossier `~/jupyterhub-tp` doit contenir :
+Your `~/jupyterhub-tp` directory should contain:
 ```
 ~/jupyterhub-tp/
-├── Dockerfile                  # Image pour les étudiants (déjà créée)
-├── Dockerfile.hub              # Image pour JupyterHub (nouvelle)
+├── Dockerfile                  # Image for students (already created)
+├── Dockerfile.hub              # Image for JupyterHub (new)
 ├── jupyterhub_config.py        # Configuration
-└── docker-compose.yml          # Orchestration
+├── docker-compose.yml          # Orchestration
+└── start-jupyterhub.sh         # Startup script
 ```

-## Étapes d'installation
+## Installation Steps

-### 1. Créer la structure de dossiers
+### 1. Create Directory Structure

 ```bash
 mkdir -p ~/jupyterhub-tp
 cd ~/jupyterhub-tp
 ```

-### 2. Créer tous les fichiers nécessaires
+### 2. Create All Necessary Files

-Créez les fichiers suivants avec le contenu des artifacts :
- `Dockerfile` (artifact "Dockerfile pour JupyterHub avec R et Bash")
- `Dockerfile.hub` (artifact "Dockerfile pour le container JupyterHub")
- `jupyterhub_config.py` (artifact "Configuration JupyterHub")
+Create the following files with the content from artifacts:
+- `Dockerfile` (artifact "Dockerfile for JupyterHub with R and Bash")
+- `Dockerfile.hub` (artifact "Dockerfile for JupyterHub container")
+- `jupyterhub_config.py` (artifact "JupyterHub Configuration")
 - `docker-compose.yml` (artifact "docker-compose.yml")
+- `start-jupyterhub.sh` (artifact "start-jupyterhub.sh")

-### 3. Construire les images Docker
+### 3. Make Startup Script Executable

 ```bash
-# Image pour les étudiants
-docker build -t jupyterhub-student:latest -f Dockerfile .
-
-# Image pour le hub JupyterHub
-docker build -t jupyterhub-hub:latest -f Dockerfile.hub .
+chmod +x start-jupyterhub.sh
 ```

-### 4. Démarrer JupyterHub avec Docker Compose
+### 4. Start JupyterHub

 ```bash
-docker-compose up -d
+./start-jupyterhub.sh
 ```

-### 5. Accéder à JupyterHub
+### 5. Access JupyterHub

-Ouvrez votre navigateur et allez à : **http://localhost:8000**
+Open your browser and go to: **http://localhost:8000**

-Vous pouvez vous connecter avec n'importe quel nom d'utilisateur.
+You can log in with any username and password: `metabar2025`

-## Commandes utiles
+## Useful Commands

-### Voir les logs de JupyterHub
+### View JupyterHub logs
 ```bash
 docker-compose logs -f jupyterhub
 ```

-### Voir tous les containers (hub + étudiants)
+### View all containers (hub + students)
 ```bash
 docker ps
 ```

-### Arrêter JupyterHub
+### Stop JupyterHub
 ```bash
 docker-compose down
 ```

-### Redémarrer JupyterHub (après modification du config)
+### Restart JupyterHub (after config modification)
 ```bash
 docker-compose restart jupyterhub
 ```

-### Reconstruire après modification du Dockerfile
+### Rebuild after Dockerfile modification
 ```bash
-# Pour l'image étudiants
+# For student image
 docker build -t jupyterhub-student:latest -f Dockerfile .
 docker-compose restart jupyterhub

-# Pour l'image hub
+# For hub image
 docker-compose up -d --build
 ```

-### Voir les logs d'un étudiant spécifique
+### View logs for a specific student
 ```bash
-docker logs jupyter-nom_utilisateur
+docker logs jupyter-username
 ```

-### Nettoyer après le TP
+### Clean up after lab
 ```bash
-# Arrêter et supprimer tous les containers
+# Stop and remove all containers
 docker-compose down

-# Supprimer les containers étudiants
+# Remove student containers
 docker ps -a | grep jupyter- | awk '{print $1}' | xargs docker rm -f

-# Supprimer les volumes (ATTENTION : supprime les données étudiants)
+# Remove volumes (WARNING: deletes student data)
 docker volume ls | grep jupyterhub-user | awk '{print $2}' | xargs docker volume rm

-# Tout nettoyer (containers + volumes + réseau)
+# Clean everything (containers + volumes + network)
 docker-compose down -v
 docker ps -a | grep jupyter- | awk '{print $1}' | xargs docker rm -f
 docker volume prune -f
 ```

-## Gestion des données partagées
+## Managing Shared Data

-### Structure des dossiers pour chaque étudiant
+### Directory Structure for Each Student

-Chaque étudiant verra ces dossiers dans son JupyterLab :
- **`work/`** : Son espace personnel (persistant, privé)
- **`shared/`** : Espace partagé entre tous les étudiants (lecture/écriture)
- **`course/`** : Fichiers du cours (lecture seule, vous déposez les fichiers)
+Each student will see these directories in their JupyterLab:
+- **`work/`** : Personal workspace (persistent, private)
+- **`shared/`** : Shared workspace between all students (read/write)
+- **`course/`** : Course files (read-only, you deposit files)

-### Déposer des fichiers pour le cours
+### Deposit Files for Course

-Pour mettre des fichiers dans le dossier `course/` (accessible en lecture seule) :
+To put files in the `course/` directory (accessible read-only):

 ```bash
-# Créer un dossier temporaire
+# Create a temporary directory
 mkdir -p ~/jupyterhub-tp/course-files

-# Copier vos fichiers dedans
-cp mes_notebooks.ipynb ~/jupyterhub-tp/course-files/
-cp mes_donnees.csv ~/jupyterhub-tp/course-files/
+# Copy your files into it
+cp my_notebooks.ipynb ~/jupyterhub-tp/course-files/
+cp my_data.csv ~/jupyterhub-tp/course-files/

-# Copier dans le volume Docker
+# Copy into Docker volume
 docker run --rm \
  -v jupyterhub-course:/target \
  -v ~/jupyterhub-tp/course-files:/source \
  alpine sh -c "cp -r /source/* /target/"
 ```

-### Accéder aux fichiers partagés entre étudiants
+### Access Shared Files Between Students

-Les étudiants peuvent collaborer via le dossier `shared/` :
+Students can collaborate via the `shared/` directory:

 ```python
-# Dans un notebook, pour lire un fichier partagé
+# In a notebook, to read a shared file
 import pandas as pd
-df = pd.read_csv('/home/jovyan/shared/donnees_groupe.csv')
+df = pd.read_csv('/home/jovyan/shared/group_data.csv')

-# Pour écrire un fichier partagé
-df.to_csv('/home/jovyan/shared/resultats_alice.csv')
+# To write a shared file
+df.to_csv('/home/jovyan/shared/alice_results.csv')
 ```

-### Récupérer les travaux des étudiants
+### Retrieve Student Work

 ```bash
-# Lister les volumes utilisateurs
+# List user volumes
 docker volume ls | grep jupyterhub-user

-# Copier les fichiers d'un étudiant spécifique
+# Copy files from a specific student
 docker run --rm \
  -v jupyterhub-user-alice:/source \
-  -v ~/rendus:/target \
+  -v ~/submissions:/target \
  alpine sh -c "cp -r /source/* /target/alice/"

-# Copier tous les travaux partagés
+# Copy all shared work
 docker run --rm \
  -v jupyterhub-shared:/source \
-  -v ~/rendus/shared:/target \
+  -v ~/submissions/shared:/target \
  alpine sh -c "cp -r /source/* /target/"
 ```

-## Gestion des utilisateurs
+## User Management

-### Option 1 : Liste d'utilisateurs prédéfinis
-Dans `jupyterhub_config.py`, décommentez et modifiez :
+### Option 1: Predefined User List
+In `jupyterhub_config.py`, uncomment and modify:
 ```python
-c.Authenticator.allowed_users = {'etudiant1', 'etudiant2', 'etudiant3'}
+c.Authenticator.allowed_users = {'student1', 'student2', 'student3'}
 ```

-### Option 2 : Autoriser tout le monde (pour tests)
-Par défaut, la configuration autorise n'importe quel utilisateur :
+### Option 2: Allow Everyone (for testing)
+By default, the configuration allows any user:
 ```python
 c.Authenticator.allow_all = True
 ```

-⚠️ **Attention** : DummyAuthenticator est UNIQUEMENT pour les tests locaux !
+⚠️ **Warning**: DummyAuthenticator is ONLY for local testing!

-## Vérification des kernels
+## Kernel Verification

-Une fois connecté, créez un nouveau notebook et vérifiez que vous avez accès à :
- **Python 3** (kernel par défaut)
- **R** (kernel R)
- **Bash** (kernel bash)
+Once logged in, create a new notebook and verify you have access to:
+- **Python 3** (default kernel)
+- **R** (R kernel)
+- **Bash** (bash kernel)

-## Personnalisation pour vos TP
+## Customization for Your Labs

-### Ajouter des packages R supplémentaires
-Modifiez le `Dockerfile` (avant `USER ${NB_UID}`) :
+### Add Additional R Packages
+Modify the `Dockerfile` (before `USER ${NB_UID}`):
 ```dockerfile
-RUN R -e "install.packages(c('votre_package'), repos='http://cran.rstudio.com/')"
+RUN R -e "install.packages(c('your_package'), repos='http://cran.rstudio.com/')"
 ```

-Puis reconstruisez :
+Then rebuild:
 ```bash
 docker build -t jupyterhub-student:latest -f Dockerfile .
 docker-compose restart jupyterhub
 ```

-### Ajouter des packages Python
-Ajoutez dans le `Dockerfile` (avant `USER ${NB_UID}`) :
+### Add Python Packages
+Add to the `Dockerfile` (before `USER ${NB_UID}`):
 ```dockerfile
 RUN pip install numpy pandas matplotlib seaborn
 ```

-### Distribuer des fichiers aux étudiants
-Créez un dossier `files_tp/` et ajoutez dans le `Dockerfile` :
+### Distribute Files to Students
+Create a `files_lab/` directory and add to the `Dockerfile`:
 ```dockerfile
-COPY files_tp/ /home/${NB_USER}/tp/
-RUN chown -R ${NB_UID}:${NB_GID} /home/${NB_USER}/tp
+COPY files_lab/ /home/${NB_USER}/lab/
+RUN chown -R ${NB_UID}:${NB_GID} /home/${NB_USER}/lab
 ```

-### Changer le port (si 8000 est occupé)
-Modifiez dans `docker-compose.yml` :
+### Change Port (if 8000 is occupied)
+Modify in `docker-compose.yml`:
 ```yaml
 ports:
-  - "8001:8000"  # Accessible sur localhost:8001
+  - "8001:8000"  # Accessible on localhost:8001
 ```

-## Avantages de cette approche
+## Advantages of This Approach

-✅ **Tout en Docker** : Plus besoin d'installer Python/JupyterHub sur votre Mac  
-✅ **Portable** : Facile à déployer sur un autre Mac ou serveur  
-✅ **Isolé** : Pas de pollution de votre environnement système  
-✅ **Facile à nettoyer** : Un simple `docker-compose down` suffit  
-✅ **Reproductible** : Les étudiants auront exactement le même environnement
+✅ **Everything in Docker**: No need to install Python/JupyterHub on your Mac  
+✅ **Portable**: Easy to deploy on another Mac or server  
+✅ **Isolated**: No pollution of your system environment  
+✅ **Easy to Clean**: A simple `docker-compose down` is enough  
+✅ **Reproducible**: Students will have exactly the same environment

-## Dépannage
+## Troubleshooting

-**Erreur "Cannot connect to Docker daemon"** :
- Vérifiez qu'OrbStack est démarré
- Vérifiez que le socket existe : `ls -la /var/run/docker.sock`
+**Error "Cannot connect to Docker daemon"**:
+- Check that OrbStack is running
+- Verify the socket exists: `ls -la /var/run/docker.sock`

-**Les containers étudiants ne démarrent pas** :
- Vérifiez les logs : `docker-compose logs jupyterhub`
- Vérifiez que l'image étudiants existe : `docker images | grep jupyterhub-student`
+**Student containers don't start**:
+- Check logs: `docker-compose logs jupyterhub`
+- Verify student image exists: `docker images | grep jupyterhub-student`

-**Port 8000 déjà utilisé** :
- Changez le port dans `docker-compose.yml`
+**Port 8000 already in use**:
+- Change port in `docker-compose.yml`

-**Après modification du config, les changements ne sont pas pris en compte** :
+**After config modification, changes are not applied**:
 ```bash
 docker-compose restart jupyterhub
 ```

-**Je veux repartir de zéro** :
+**I want to start from scratch**:
 ```bash
 docker-compose down -v
 docker rmi jupyterhub-hub jupyterhub-student
-# Puis reconstruire tout
-```
+# Then rebuild everything
+./start-jupyterhub.sh
+```
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -6,21 +6,21 @@ services:
    container_name: jupyterhub
    image: jupyterhub-hub:latest
    ports:
-      - "8888:8000"
+      - "8000:8000"
    volumes:
-      # Accès au socket Docker pour spawner les containers étudiants
+      # Access to Docker socket to spawn student containers
      - /var/run/docker.sock:/var/run/docker.sock
-      # Persistance de la base de données JupyterHub
+      # JupyterHub database persistence
      - jupyterhub-data:/srv/jupyterhub
-      # Montage du fichier de config en direct (pour modifications faciles)
+      # Mount config file directly (for easy modifications)
      - ./jupyterhub_config.py:/srv/jupyterhub/jupyterhub_config.py:ro
    networks:
      - jupyterhub-network
    restart: unless-stopped
    environment:
-      # Mot de passe partagé pour tous les étudiants
+      # Shared password for all students
      JUPYTERHUB_PASSWORD: metabar2025
-      # Variables d'environnement optionnelles
+      # Optional environment variables
      DOCKER_NOTEBOOK_DIR: /home/jovyan/work

 networks:
@@ -31,4 +31,5 @@ networks:
 volumes:
  jupyterhub-data:
  jupyterhub-shared:
-  jupyterhub-course:
+  jupyterhub-course:
+  
--- a/jupyterhub_config.py
+++ b/jupyterhub_config.py
@@ -1,5 +1,96 @@
 import os

+# Base configuration
+c.JupyterHub.spawner_class = 'dockerspawner.DockerSpawner'
+
+# Enable debug logs
+c.JupyterHub.log_level = 'DEBUG'
+c.Spawner.debug = True
+
+# Docker image to use for student containers
+c.DockerSpawner.image = 'jupyterhub-student:latest'
+
+# Docker network (create with: docker network create jupyterhub-network)
+c.DockerSpawner.network_name = 'jupyterhub-network'
+
+# Connection to OrbStack Docker socket from the hub container
+c.DockerSpawner.client_kwargs = {'base_url': 'unix:///var/run/docker.sock'}
+
+# IMPORTANT: Internal URL for communication between containers
+# The hub container communicates with user containers via Docker network
+c.JupyterHub.hub_ip = '0.0.0.0'
+c.JupyterHub.hub_connect_ip = 'jupyterhub'
+
+# Network configuration for student containers
+c.DockerSpawner.use_internal_ip = True
+c.DockerSpawner.network_name = 'jupyterhub-network'
+c.DockerSpawner.extra_host_config = {'network_mode': 'jupyterhub-network'}
+
+# Remove containers after disconnection (optional, set to False to keep containers)
+c.DockerSpawner.remove = True
+
+# Container naming
+c.DockerSpawner.name_template = "jupyter-{username}"
+
+# Volume mounting to persist student data
+# Set root to /home/jovyan to see all directories
+notebook_dir = '/home/jovyan'
+c.DockerSpawner.notebook_dir = notebook_dir
+
+# Personal volume for each student + shared volume
+c.DockerSpawner.volumes = {
+    # Personal volume (persistent) - mounted in work/
+    'jupyterhub-user-{username}': '/home/jovyan/work',
+    # Shared volume between all students
+    'jupyterhub-shared': '/home/jovyan/shared',
+    # Shared read-only volume for course files (optional)
+    'jupyterhub-course': {
+        'bind': '/home/jovyan/course',
+        'mode': 'ro'  # read-only
+    }
+}
+
+# Memory and CPU configuration (adjust according to your needs)
+c.DockerSpawner.mem_limit = '2G'
+c.DockerSpawner.cpu_limit = 1.0
+
+# User configuration - Simple password authentication for lab
+from jupyterhub.auth import DummyAuthenticator
+
+class SimplePasswordAuthenticator(DummyAuthenticator):
+    """Simple authenticator with a shared password for everyone"""
+    
+    def check_allowed(self, username, authentication=None):
+        """Check if user is allowed"""
+        if authentication is None:
+            return False
+        
+        # Get password from environment variable
+        expected_password = os.environ.get('JUPYTERHUB_PASSWORD', 'metabar2025')
+        provided_password = authentication.get('password', '')
+        
+        # Check password
+        return provided_password == expected_password
+
+c.JupyterHub.authenticator_class = SimplePasswordAuthenticator
+
+# To create a list of allowed users, uncomment and modify:
+# c.Authenticator.allowed_users = {'student1', 'student2', 'student3'}
+
+# Or allow any user with the correct password:
+c.Authenticator.allow_all = True
+
+# Admin configuration
+c.Authenticator.admin_users = {'admin'}
+
+# Listening port
+c.JupyterHub.bind_url = 'http://0.0.0.0:8000'
+
+# Timeout
+c.Spawner.start_timeout = 300
+c.Spawner.http_timeout = 120
+import os
+
 # Configuration de base
 c.JupyterHub.spawner_class = 'dockerspawner.DockerSpawner'

@@ -88,4 +179,4 @@ c.JupyterHub.bind_url = 'http://0.0.0.0:8000'

 # Timeout
 c.Spawner.start_timeout = 300
-c.Spawner.http_timeout = 120
+c.Spawner.http_timeout = 120
--- a/setup.sh
+++ b/setup.sh
@@ -1,30 +1,83 @@
-#!/usr/bin/env bash
-set -e
+#!/bin/bash

-# === Variables ===
-WORKDIR="$PWD"
-NETWORK="jupyterhub-net"
-HUB_IMAGE="jupyterhub-hub"
-USER_IMAGE="jupyter-tp-singleuser"
+# JupyterHub startup script for labs
+# Usage: ./start-jupyterhub.sh

-# === Préparation ===
-mkdir -p "$WORKDIR"
-cd "$WORKDIR"
+set -e  # Stop on error

-echo "[1/5] Création du réseau Docker..."
-docker network inspect $NETWORK >/dev/null 2>&1 || docker network create $NETWORK
+echo "🚀 Starting JupyterHub for Lab"
+echo "=============================="
+echo ""

-echo "[2/5] Construction des images..."
-docker build -t $USER_IMAGE -f Dockerfile .
-docker build -t $HUB_IMAGE -f Dockerfile.hub .
+# Colors for display
+GREEN='\033[0;32m'
+BLUE='\033[0;34m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color

-echo "[3/5] Lancement de JupyterHub..."
-docker compose up -d
+# Check we're in the right directory
+if [ ! -f "Dockerfile" ] || [ ! -f "docker-compose.yml" ]; then
+    echo "❌ Error: Run this script from the jupyterhub-tp/ directory"
+    exit 1
+fi

-echo "[4/5] Hub accessible sur http://localhost:8888"
-echo "      Login avec n'importe quel nom et mot de passe : metabar2025"
+# Stop existing containers
+echo -e "${BLUE}📦 Stopping existing containers...${NC}"
+docker-compose down 2>/dev/null || true

-echo "[5/5] Pour voir les utilisateurs actifs :"
-echo "      docker ps | grep jupyterhub-user"
+# Remove old student containers
+echo -e "${BLUE}🧹 Cleaning up student containers...${NC}"
+docker ps -aq --filter name=jupyter- | xargs -r docker rm -f 2>/dev/null || true

-echo "Terminé."
+# Build student image
+echo ""
+echo -e "${BLUE}🔨 Building student image...${NC}"
+docker build -t jupyterhub-student:latest -f Dockerfile .
+
+# Build hub image
+echo ""
+echo -e "${BLUE}🔨 Building JupyterHub image...${NC}"
+docker build -t jupyterhub-hub:latest -f Dockerfile.hub .
+
+# Create volumes if they don't exist
+echo ""
+echo -e "${BLUE}💾 Creating shared volumes...${NC}"
+docker volume create jupyterhub-shared 2>/dev/null || echo "  Volume jupyterhub-shared already exists"
+docker volume create jupyterhub-course 2>/dev/null || echo "  Volume jupyterhub-course already exists"
+
+# Start the stack
+echo ""
+echo -e "${BLUE}🚀 Starting JupyterHub...${NC}"
+docker-compose up -d
+
+# Wait for service to be ready
+echo ""
+echo -e "${YELLOW}⏳ Waiting for JupyterHub to start...${NC}"
+sleep 3
+
+# Check that container is running
+if docker ps | grep -q jupyterhub; then
+    echo ""
+    echo -e "${GREEN}✅ JupyterHub is running!${NC}"
+    echo ""
+    echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+    echo -e "${GREEN}🌐 JupyterHub available at: http://localhost:8000${NC}"
+    echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+    echo ""
+    echo "📝 Password: metabar2025"
+    echo "👥 Students can connect with any username"
+    echo ""
+    echo "📂 Each student will have access to:"
+    echo "   - work/   : personal workspace"
+    echo "   - shared/ : shared workspace"
+    echo "   - course/ : course files (read-only)"
+    echo ""
+    echo "🔍 To view logs:    docker-compose logs -f jupyterhub"
+    echo "🛑 To stop:         docker-compose down"
+    echo ""
+else
+    echo ""
+    echo -e "${YELLOW}⚠️  JupyterHub container doesn't seem to be starting${NC}"
+    echo "Check logs with: docker-compose logs jupyterhub"
+    exit 1
+fi