docker-containerization

name	docker-containerization
description	Docker containerization patterns for Python Flask applications with ML models, Tesseract OCR, and React frontends. Use when building, debugging, or deploying Docker containers for the Chuuk Dictionary application. Use when this capability is needed.
metadata	{"author":"findinfinitelabs"}

Docker Containerization

Overview

Docker containerization for the Chuuk Dictionary application including multi-stage builds, ML model packaging, OCR dependencies, and production deployment patterns.

Docker Architecture

chuuk/
├── Dockerfile               # Main application container
├── Dockerfile.ollama        # Ollama LLM container
├── ollama-entrypoint.sh     # Ollama startup script
├── docker-compose.yml       # Local development
└── .dockerignore

Main Application Dockerfile

# Multi-stage build for Chuuk Dictionary
# Stage 1: Build React frontend
FROM node:22-slim AS frontend-build

WORKDIR /app/frontend

# Install dependencies first (better caching)
COPY frontend/package*.json ./
RUN npm ci --no-audit

# Build frontend
COPY frontend/ ./
RUN npm run build

# Stage 2: Python application
FROM python:3.11-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONPATH=/app \
    TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    # Tesseract OCR for image processing
    tesseract-ocr \
    tesseract-ocr-eng \
    # PDF processing
    poppler-utils \
    # Image libraries
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    # Build tools for some Python packages
    gcc \
    g++ \
    # Clean up
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY app.py .
COPY src/ ./src/
COPY config/ ./config/
COPY data/ ./data/
COPY scripts/ ./scripts/

# Copy ML models (large files)
COPY models/ ./models/

# Copy built frontend from Stage 1
COPY --from=frontend-build /app/frontend/dist ./frontend/dist

# Create necessary directories
RUN mkdir -p uploads logs output

# Create non-root user
RUN useradd -m -u 1000 appuser && \
    chown -R appuser:appuser /app
USER appuser

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

# Run with Gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:8000", "--workers", "2", "--timeout", "300", "app:app"]

Docker Ignore File

# .dockerignore
# Git
.git
.gitignore
.github

# Python
__pycache__
*.py[cod]
*$py.class
.Python
*.so
.pytest_cache
.mypy_cache
*.egg-info
dist/
build/
eggs/
.eggs/

# Virtual environments
venv/
.venv/
ENV/

# Node
frontend/node_modules/
frontend/.vite/
frontend/dist/

# IDE
.vscode/
.idea/
*.swp
*.swo

# Local development
.env
.env.local
*.log
logs/

# Test files
tests/
test_results/
htmlcov/
.coverage

# Documentation
docs/
*.md
!README.md

# Temporary files
*.tmp
*.temp
uploads/*
output/*

Docker Compose for Development

# docker-compose.yml
version: '3.8'

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "8000:8000"
    environment:
      - FLASK_ENV=development
      - COSMOS_CONNECTION_STRING=${COSMOS_CONNECTION_STRING}
      - FLASK_SECRET_KEY=${FLASK_SECRET_KEY}
    volumes:
      # Mount code for hot reload (dev only)
      - ./app.py:/app/app.py:ro
      - ./src:/app/src:ro
      # Persist uploads
      - ./uploads:/app/uploads
      - ./logs:/app/logs
    depends_on:
      - ollama
    networks:
      - chuuk-network

  ollama:
    build:
      context: .
      dockerfile: Dockerfile.ollama
    ports:
      - "11434:11434"
    volumes:
      - ollama-models:/root/.ollama
    environment:
      - OLLAMA_HOST=0.0.0.0
    
       
    
      
        
          
              
               
               []

  
  
     
    
       
    
       
    
       
    
       


  
     


  
  

Ollama Container

Dockerfile.ollama

# Dockerfile.ollama
FROM ollama/ollama:latest

# Copy custom model configurations
COPY ollama-modelfile/ /modelfiles/
COPY ollama-entrypoint.sh /entrypoint.sh

RUN chmod +x /entrypoint.sh

ENTRYPOINT ["/entrypoint.sh"]

ollama-entrypoint.sh

#!/bin/bash
# Start Ollama server in background
ollama serve &

# Wait for server to be ready
sleep 10

# Load custom Chuukese model if exists
if [ -f "/modelfiles/chuukese-translator.modelfile" ]; then
    echo "Loading Chuukese translator model..."
    ollama create chuukese-translator -f /modelfiles/chuukese-translator.modelfile
fi

# Keep container running
wait

Building and Running

Build Commands

# Build main application
docker build -t chuuk-dictionary:latest .

# Build with specific tag
docker build -t chuuk-dictionary:v1.0.0 .

# Build without cache (fresh build)
docker build --no-cache -t chuuk-dictionary:latest .

# Build for specific platform
docker build --platform linux/amd64 -t chuuk-dictionary:latest .

# Build only frontend stage
docker build --target frontend-build -t chuuk-frontend:latest .

Run Commands

# Run container
docker run -d \
  --name chuuk-app \
  -p 8000:8000 \
  -e COSMOS_CONNECTION_STRING="$COSMOS_CONNECTION_STRING" \
  -e FLASK_SECRET_KEY="$FLASK_SECRET_KEY" \
  chuuk-dictionary:latest

# Run with volume mounts
docker run -d \
  --name chuuk-app \
  -p 8000:8000 \
  -v $(pwd)/uploads:/app/uploads \
  -v $(pwd)/logs:/app/logs \
  chuuk-dictionary:latest

# Run interactively for debugging
docker run -it --rm \
  -p 8000:8000 \
  chuuk-dictionary:latest /bin/bash

# Run with GPU support
docker run -d \
  --gpus all \
  --name chuuk-app \
  -p 8000:8000 \
  chuuk-dictionary:latest

Docker Compose Commands

# Start all services
docker-compose up -d

# Start with build
docker-compose up -d --build

# View logs
docker-compose logs -f app

# Stop services
docker-compose down

# Stop and remove volumes
docker-compose down -v

# Rebuild specific service
docker-compose build app
docker-compose up -d app

Multi-Platform Builds

Build for Azure Container Apps (AMD64)

# Enable buildx for multi-platform
docker buildx create --name chuuk-builder --use

# Build and push for AMD64
docker buildx build \
  --platform linux/amd64 \
  --push \
  -t myregistry.azurecr.io/chuuk-dictionary:latest \
  .

Build for Multiple Architectures

docker buildx build \
  --platform linux/amd64,linux/arm64 \
  --push \
  -t myregistry.azurecr.io/chuuk-dictionary:latest \
  .

Optimization Strategies

Layer Caching

# BAD: Invalidates cache on any code change
COPY . .
RUN pip install -r requirements.txt

# GOOD: Dependencies cached unless requirements change
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .

Reduce Image Size

# Use slim base images
FROM python:3.11-slim

# Install and clean in single RUN
RUN apt-get update && apt-get install -y --no-install-recommends \
    package1 \
    package2 \
    && rm -rf /var/lib/apt/lists/*

# Use --no-cache-dir for pip
RUN pip install --no-cache-dir -r requirements.txt

# Remove build dependencies after use
RUN apt-get purge -y gcc g++ && apt-get autoremove -y

Multi-Stage for ML Models

# Stage 1: Download/prepare models
FROM python:3.11-slim AS model-prep

RUN pip install huggingface_hub
RUN python -c "from huggingface_hub import snapshot_download; \
    snapshot_download('Helsinki-NLP/opus-mt-mul-en', cache_dir='/models')"

# Stage 2: Final image
FROM python:3.11-slim

COPY --from=model-prep /models /app/models

Debugging Containers

Inspect Running Container

# View container logs
docker logs chuuk-app
docker logs -f chuuk-app  # Follow logs

# Execute command in running container
docker exec -it chuuk-app /bin/bash

# Check container stats
docker stats chuuk-app

# Inspect container configuration
docker inspect chuuk-app

Debug Build Issues

# Build with verbose output
docker build --progress=plain -t chuuk-dictionary:latest .

# Build up to specific stage
docker build --target frontend-build -t debug:latest .

# Check image layers
docker history chuuk-dictionary:latest

# Analyze image size
docker images chuuk-dictionary:latest

Health Checks

# Check container health status
docker inspect --format='{{.State.Health.Status}}' chuuk-app

# View health check logs
docker inspect --format='{{json .State.Health}}' chuuk-app | jq

Security Best Practices

Non-Root User

# Create user before copying files
RUN useradd -m -u 1000 appuser

# Change ownership
COPY --chown=appuser:appuser . /app

# Switch to non-root user
USER appuser

Secrets Management

# NEVER put secrets in Dockerfile
# BAD
ENV API_KEY=my-secret-key

# GOOD: Use environment variables at runtime
docker run -e API_KEY="$API_KEY" myimage

# BETTER: Use Docker secrets or Azure Key Vault

Scan for Vulnerabilities

# Scan image for vulnerabilities
docker scout cves chuuk-dictionary:latest

# Use trivy for scanning
trivy image chuuk-dictionary:latest

Production Considerations

Resource Limits

# docker-compose.yml
services:
  app:
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 4G
        reservations:
          cpus: '1'
          memory: 2G

Logging Configuration

# Configure logging driver
# In docker-compose.yml or docker run
logging:
  driver: "json-file"
  options:
    max-size: "10m"
    max-file: "3"

Graceful Shutdown

# In app.py
import signal
import sys

def signal_handler(sig, frame):
    print('Shutting down gracefully...')
    # Cleanup code here
    sys.exit(0)

signal.signal(signal.SIGTERM, signal_handler)
signal.signal(signal.SIGINT, signal_handler)

Common Issues and Solutions

Issue: Large Image Size

# Check what's taking space
docker history --no-trunc chuuk-dictionary:latest

# Solutions:
# 1. Use multi-stage builds
# 2. Use slim base images
# 3. Clean up in same RUN layer
# 4. Use .dockerignore

Issue: Slow Builds

# Solutions:
# 1. Order Dockerfile by change frequency
# 2. Use BuildKit for parallel builds
DOCKER_BUILDKIT=1 docker build .

# 3. Use --cache-from for CI/CD
docker build --cache-from=myregistry/app:latest .

Issue: Container Won't Start

# Check logs
docker logs chuuk-app

# Run interactively
docker run -it chuuk-dictionary:latest /bin/bash

# Check if port is in use
lsof -i :8000

Dependencies

Container includes:

• Python 3.11
• Node.js 22 (build stage)
• Tesseract OCR with English language pack
• Poppler PDF utilities
• OpenCV dependencies
• Gunicorn WSGI server

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Source: findinfinitelabs/chuuk — distributed by TomeVault.