Uv Docker Integration

name: uv-docker-integration description: Comprehensive guidance for using uv (Python package manager) in Docker environments with best practices for multi-stage builds, caching, and optimization. Use when containerizing Python applications with uv for production deployments.

uv Docker Integration Skill

Overview

This skill provides comprehensive guidance for using uv (a Python package manager) in Docker environments. It includes best practices for multi-stage builds, caching strategies, optimization techniques, and security considerations when containerizing Python applications with uv.

When to Use This Skill

• Containerizing Python applications with uv as the package manager
• Creating optimized Docker images with minimal size
• Implementing multi-stage builds for Python projects
• Setting up proper caching strategies for faster builds
• Following security best practices in containerized Python apps
• Using uv's pip interface within Docker containers

Core Dockerfile Patterns

Installing uv in Docker

Method 1: Copy from distroless image (Recommended)

FROM python:3.12-slim
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

Method 2: Using the installer script

FROM python:3.12-slim

# The installer requires curl (and certificates) to download the release archive
RUN apt-get update && apt-get install -y --no-install-recommends curl ca-certificates

# Download and run the installer
ADD https://astral.sh/uv/install.sh /uv-installer.sh
RUN sh /uv-installer.sh && rm /uv-installer.sh

# Ensure the installed binary is on the PATH
ENV PATH="/root/.local/bin/:$PATH"

Pinning to Specific Versions (Best Practice)

# Pin to specific version
COPY --from=ghcr.io/astral-sh/uv:0.9.21 /uv /uvx /bin/

# Even better - pin to specific SHA256 hash for reproducible builds
COPY --from=ghcr.io/astral-sh/uv@sha256:2381d6aa60c326b71fd40023f921a0a3b8f91b14d5db6b90402e65a635053709 /uv /uvx /bin/

Basic Project Installation Pattern

# Copy the project into the image
COPY . /app

# Disable development dependencies
ENV UV_NO_DEV=1

# Sync the project into a new environment, asserting the lockfile is up to date
WORKDIR /app
RUN uv sync --locked

# Set PATH to include the virtual environment
ENV PATH="/app/.venv/bin:$PATH"

# Run the application
CMD ["uv", "run", "my_app"]

Multi-Stage Dockerfile with uv (Recommended Pattern)

# ========================================
# Optimized Multi-Stage Dockerfile
# Python Application with uv Package Manager
# ========================================

# --- Base stage ---
FROM python:3.12-slim AS base

# Set working directory
WORKDIR /app

# Install system dependencies needed for building wheels
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

# --- Builder stage ---
FROM base AS builder

# Install uv package manager
COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv

# Copy dependency files first for better cache usage
COPY pyproject.toml uv.lock* ./

# Create virtual environment and install dependencies
RUN --mount=type=cache,target=/root/.cache/uv \
    uv venv && \
    . .venv/bin/activate && \
    uv sync --locked --no-dev

# Copy the rest of the application code
COPY src/ src/
COPY alembic/ alembic/
COPY alembic.ini ./
COPY *.md ./
COPY jwks.json ./

# --- Final stage ---
FROM python:3.12-slim AS final

# Install system dependencies needed for runtime
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

# Create a non-root user for security
RUN useradd --create-home --shell /bin/bash appuser
USER appuser

# Copy virtual environment from builder
COPY --from=builder --chown=appuser:appuser /app/.venv /app/.venv

# Copy application code from builder
COPY --from=builder --chown=appuser:appuser /app/src /app/src
COPY --from=builder --chown=appuser:appuser /app/alembic /app/alembic
COPY --from=builder --chown=appuser:appuser /app/alembic.ini /app/alembic.ini
COPY --from=builder --chown=appuser:appuser /app/*.md /app/
COPY --from=builder --chown=appuser:appuser /app/jwks.json /app/jwks.json

# Set environment variables
ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONUNBUFFERED=1

# Expose application port
EXPOSE 8000

# Run the application
CMD ["python", "-m", "src.main:app"]

Optimization Techniques

1. Bytecode Compilation (Production Optimization)

# Enable bytecode compilation for faster startup
RUN uv sync --compile-bytecode

# Or set globally
ENV UV_COMPILE_BYTECODE=1

2. Cache Mounts for Faster Builds

# Use cache mount to speed up dependency installation
ENV UV_LINK_MODE=copy

RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync

3. Intermediate Layers (Improved Build Times)

Separate dependency installation from project code for better caching:

# Install dependencies separately for better caching
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    uv sync --locked --no-install-project

# Copy project files
COPY . /app

# Install the project itself
RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync --locked

4. Non-Editable Installs for Production

# Use non-editable mode for final image (removes dependency on source code)
RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync --locked --no-editable

Development Workflow

Mounting Project for Development

# Mount project directory while excluding .venv
docker run --rm \
  --volume .:/app \
  --volume /app/.venv \
  --env UV_NO_DEV=1 \
  your-image:latest

Docker Compose Watch Configuration

services:
  app:
    build: .
    develop:
      watch:
        # Sync working directory with /app, excluding .venv
        - action: sync
          path: .
          target: /app
          ignore:
            - .venv/
        # Rebuild on changes to pyproject.toml
        - action: rebuild
          path: ./pyproject.toml

Using uv's pip Interface in Docker

Installing Packages Directly

# Install to system environment (safe in containers)
RUN uv pip install --system ruff

# Or create and use a virtual environment
RUN uv venv /opt/venv
ENV VIRTUAL_ENV=/opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN uv pip install ruff

Installing from Requirements

COPY requirements.txt .
RUN uv pip install -r requirements.txt

Security Best Practices

1. Non-Root Users

RUN useradd --create-home --shell /bin/bash appuser
USER appuser

2. Pin Image Versions

Always pin to specific uv versions or SHA256 hashes:

COPY --from=ghcr.io/astral-sh/uv:0.9.21@sha256:... /uv /bin/uv

3. Verify Attestations

Use GitHub CLI to verify image provenance:

gh attestation verify --owner astral-sh oci://ghcr.io/astral-sh/uv:latest

Troubleshooting Common Issues

1. Dependency Resolution Problems

• Ensure uv.lock is committed to version control
• Use uv sync --locked to prevent accidental upgrades
• Check that pyproject.toml is properly formatted

2. Build Cache Issues

• Use --no-cache flag to bypass Docker cache: docker build --no-cache
• Clear uv cache: uv cache clean
• Check cache mount permissions

3. Virtual Environment Issues

• Set UV_PROJECT_ENVIRONMENT to install to system Python environment
• Use --no-editable flag for production builds
• Ensure .venv is in .dockerignore to prevent conflicts

4. Missing Dependencies

• Use --no-install-project to install only dependencies
• Verify all required files are copied to the container
• Check that development dependencies are disabled in production builds

File Recommendations

Add to .dockerignore

.venv/
.env
*.pyc
__pycache__/
.git/

Recommended Project Structure

project/
├── pyproject.toml
├── uv.lock
├── src/
│   └── my_project/
├── Dockerfile
├── docker-compose.yml
└── .dockerignore

Source: syeda-hoorain-ali/todo-spec-driven-hackathon — distributed by TomeVault.