refactor: Update code-server image for easier use of docker in exercise

Author: aiakide

docker/code-server/.python-version

@@ -0,0 +1 @@
+3.12

docker/code-server/Dockerfile

@@ -1,51 +1,54 @@
-# syntax=docker/dockerfile:1
-
-# Based on https://gist.githubusercontent.com/usr-ein/c42d98abca3cb4632ab0c2c6aff8c88a/raw/19dcc899f68d0b08c2c137d3fd01715b0c84bac9/Dockerfile
-
-################################
-# PYTHON-BASE
-# Sets up all our shared environment variables
-################################
-FROM --platform=$TARGETPLATFORM linuxserver/code-server:latest AS python-base
-
-ARG TARGETPLATFORM
-
-# python
-ENV PYTHONUNBUFFERED=1 \
-    # prevents python creating .pyc files
-    PYTHONDONTWRITEBYTECODE=1 \
-    \
-    # pip
-    PIP_DISABLE_PIP_VERSION_CHECK=on \
-    PIP_DEFAULT_TIMEOUT=100 \
-    \
-    # paths
-    # this is where our requirements + virtual environment will live
-    PYSETUP_PATH="/opt/pysetup" \
-    VENV_PATH="/opt/pysetup/.venv"
-
-
-################################
-# BUILDER-BASE
-# Used to build deps + create our virtual environment
-################################
-FROM python-base AS builder-base
+# Start from the linuxserver/code-server image.
+FROM --platform=$TARGETPLATFORM linuxserver/code-server:latest
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
+ENV PUID=0
+ENV PGID=0
+ENV DEFAULT_WORKSPACE=/workspace
+
+# Switch to root to install additional packages.
+USER root
+
+# Install Docker engine (docker.io).
 RUN apt-get update && \
-    apt-get install -y curl bash-completion \
-    software-properties-common \
-    build-essential && \
-    add-apt-repository ppa:deadsnakes/ppa && \
-    apt-get update && \
-    apt-get install -y python3.12 python3.12-venv python3.12-dev && \
-    apt-get clean && \
+    apt-get install -y docker.io \
+    build-essential \
+    gcc \
+    g++ \
+    clang \
+    make \
+    meson \
+    ninja-build && \
+    apt-get clean &&\
     rm -rf /var/lib/apt/lists/*
 
-RUN curl -fsSL https://get.docker.com | sh
+# Create the Docker daemon socket directory, if needed.
+RUN mkdir -p /var/run
 
-# Expose the port used by code-server
+# Expose only the code-server port (adjust based on your configuration).
 EXPOSE 8443
 
+# Copy the custom entrypoint script.
+COPY docker-entrypoint.sh /docker-entrypoint.sh
+RUN chmod +x /docker-entrypoint.sh
+
+SHELL ["/bin/bash", "-c"]
+WORKDIR /workspace
+ENV PATH="/app/code-server/bin:${PATH}"
+
+RUN code-server --install-extension ms-python.python
+
+
+ADD pyproject.toml .
+ADD settings.json .vscode/settings.json
+
+RUN uv venv .venv
+RUN source .venv/bin/activate
+RUN uv sync --active
+
+
+# Use our entrypoint script to launch Docker daemon and then code-server.
+ENTRYPOINT ["/docker-entrypoint.sh"]
 
-RUN /app/code-server/bin/code-server --install-extension ms-python.python
+# The default command provided by linuxserver initiates code-server.
+CMD ["/init"]

docker/code-server/docker-entrypoint.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+set -e
+
+echo "Starting Docker daemon (without TCP exposure)..."
+
+# Launch dockerd in the background. Docker will listen on its default Unix socket (/var/run/docker.sock).
+dockerd > /var/log/dockerd.log 2>&1 &
+
+# Wait until the Docker daemon is ready.
+until docker info > /dev/null 2>&1; do
+    echo "Waiting for Docker daemon..."
+    sleep 1
+done
+
+echo "Docker daemon is running."
+
+
+
+
+# Execute the default command (typically code-server via linuxserver's /init script).
+exec "$@"

docker/code-server/pyproject.toml

@@ -0,0 +1,36 @@
+[project]
+name = "titanicsurvivors"
+version = "0.1.0"
+description = "Example project for the creation of a machine learning platform with ZenML.This project creates a model to predict would survive the titanic disaster."
+requires-python = ">=3.12"
+dependencies = [
+    "numpy<2.0",
+    "pandas>=2.2.3",
+    "pyarrow>=19.0.1",
+    "python-dotenv>=1.1.0",
+    "xgboost>=3.0.0",
+    "zenml>=0.80.1",
+]
+
+[project.optional-dependencies]
+k8s = [
+    "kubernetes>=32.0.1",
+]
+azure = [
+    "adlfs>=2024.12.0",
+    "azure-identity>=1.21.0",
+    "azure-keyvault-keys>=4.10.0",
+    "azure-keyvault-secrets>=4.9.0",
+    "azure-mgmt-containerservice>=20.0.0",
+    "azure-storage-blob>=12.17.0",
+    "azureml-core>=1.56.0",
+    "azure-ai-ml>=1.23.1"
+]
+mlflow = [
+    "mlflow>=2.21.3",
+    "pydantic>=2.8.2",
+    "python-rapidjson>=1.20",
+]
+bento = [
+    "bentoml>=1.4.7",
+]

docker/code-server/settings.json

@@ -0,0 +1,6 @@
+{
+  "defaultInterpreterPath": "${workspaceFolder}/.venv",
+  "envFile": "${workspaceFolder}/.env",
+  "terminal.activateEnvironment": true
+
+}