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.devcontainer/Dockerfile

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# Use the modern Python dev container with latest Debian
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FROM mcr.microsoft.com/devcontainers/python:1-3.12-bookworm
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# Set build arguments for flexibility
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ARG VIRTUAL_ENV_PATH=/home/vscode/.venv
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ARG PYTHON_VERSION=3.12
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# Set environment variables early for better caching
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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PYTHONPATH=/workspaces/Apim-Samples/shared/python:/workspaces/Apim-Samples \
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VIRTUAL_ENV=${VIRTUAL_ENV_PATH} \
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PATH="${VIRTUAL_ENV_PATH}/bin:$PATH"
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# Install system dependencies as root (better caching)
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USER root
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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wget \
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jq \
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tree \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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# Switch to vscode user for all Python operations
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USER vscode
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# Create virtual environment with optimized settings
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RUN python3 -m venv $VIRTUAL_ENV --copies
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# Copy only requirements.txt first for better Docker layer caching
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COPY --chown=vscode:vscode requirements.txt /tmp/requirements.txt
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# Install Python packages with optimizations
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RUN set -ex && \
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. $VIRTUAL_ENV/bin/activate && \
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pip install --no-cache-dir --upgrade pip setuptools wheel && \
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pip install --no-cache-dir --compile -r /tmp/requirements.txt && \
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pip install --no-cache-dir --compile pytest pytest-cov coverage ipykernel && \
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python -m ipykernel install --user --name=apim-samples --display-name="APIM Samples Python" && \
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pip list --format=freeze > /tmp/installed-packages.txt && \
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rm /tmp/requirements.txt
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# Configure shell environment with optimizations
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RUN set -ex && \
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echo "# Virtual environment auto-activation" >> ~/.bashrc && \
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echo "export VIRTUAL_ENV=${VIRTUAL_ENV}" >> ~/.bashrc && \
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echo "export PATH=\"\${VIRTUAL_ENV}/bin:\$PATH\"" >> ~/.bashrc && \
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echo "source \${VIRTUAL_ENV}/bin/activate" >> ~/.bashrc && \
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echo "# Virtual environment auto-activation" >> ~/.zshrc && \
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echo "export VIRTUAL_ENV=${VIRTUAL_ENV}" >> ~/.zshrc && \
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echo "export PATH=\"\${VIRTUAL_ENV}/bin:\$PATH\"" >> ~/.zshrc && \
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echo "source \${VIRTUAL_ENV}/bin/activate" >> ~/.zshrc
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# Create helpful aliases and functions
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RUN set -ex && \
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echo "# APIM Samples helpful aliases" >> ~/.bashrc && \
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echo "alias ll='ls -alF'" >> ~/.bashrc && \
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echo "alias la='ls -A'" >> ~/.bashrc && \
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echo "alias l='ls -CF'" >> ~/.bashrc && \
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echo "alias pipr='pip install -r requirements.txt'" >> ~/.bashrc && \
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echo "alias pytest-cov='python -m pytest --cov=. --cov-report=html'" >> ~/.bashrc && \
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echo "alias azlogin='az login --use-device-code'" >> ~/.bashrc
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# Set working directory
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WORKDIR /workspaces/Apim-Samples
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# Add health check for the virtual environment
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD python -c "import sys; print(f'Python {sys.version}'); import requests, jwt; print('Core packages OK')" || exit 1
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# Add labels for better maintainability
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LABEL maintainer="APIM Samples Team" \
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description="Optimized dev container for Azure API Management samples" \
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version="1.0" \
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python.version="3.12" \
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debian.version="bookworm"

.devcontainer/devcontainer.json

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{
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"name": "APIM Samples Development Environment",
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"image": "mcr.microsoft.com/devcontainers/python:1-3.12-bullseye",
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"build": {
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"dockerfile": "Dockerfile",
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"context": ".."
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},
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"features": {
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"ghcr.io/devcontainers/features/azure-cli:1": {
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"version": "2.72.0"
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"version": "latest"
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},
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"ghcr.io/devcontainers/features/common-utils:2": {
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"installZsh": true,
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"ghcr.io/devcontainers/features/git:1": {
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"version": "latest",
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"ppa": true
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},
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"ghcr.io/devcontainers/features/docker-in-docker:2": {
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"version": "latest",
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"enableNonRootDocker": "true"
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}
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},
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"customizations": {
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"containerEnv": {
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"PYTHONPATH": "/workspaces/Apim-Samples/shared/python:/workspaces/Apim-Samples"
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},
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"initializeCommand": "echo 'Initializing dev container...'",
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"postCreateCommand": "bash .devcontainer/setup-codespaces.sh",
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"postStartCommand": "bash .devcontainer/post-start.sh",
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"postStartCommand": "bash .devcontainer/post-start-light.sh",
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"forwardPorts": [
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8000,
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8080,
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# Dockerfile Optimizations Applied
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## 🚀 Performance Optimizations
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### 1. **Enhanced Environment Variables**
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```dockerfile
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1
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```
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**Benefits:**
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- `PYTHONUNBUFFERED=1`: Real-time output in logs
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- `PYTHONDONTWRITEBYTECODE=1`: No `.pyc` files = smaller image
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- `PIP_NO_CACHE_DIR=1`: No pip cache = smaller image
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- `PIP_DISABLE_PIP_VERSION_CHECK=1`: Faster pip operations
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### 2. **Build Arguments for Flexibility**
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```dockerfile
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ARG VIRTUAL_ENV_PATH=/home/vscode/.venv
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ARG PYTHON_VERSION=3.12
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```
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**Benefits:**
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- Customizable paths without rebuilding
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- Version flexibility
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- Better CI/CD integration
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### 3. **Optimized Package Installation**
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```dockerfile
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pip install --no-cache-dir --compile -r /tmp/requirements.txt
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```
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**Benefits:**
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- `--compile`: Pre-compile packages for faster imports
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- `--no-cache-dir`: Smaller image size
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- Single RUN command: Fewer layers
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### 4. **Virtual Environment Optimization**
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```dockerfile
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python3 -m venv $VIRTUAL_ENV --copies
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```
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**Benefits:**
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- `--copies`: Better isolation in containers
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- Avoids symlink issues in Docker
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## 🏗️ Docker Layer Optimization
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### 1. **Better Layer Caching**
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```dockerfile
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# Copy requirements first (changes less frequently)
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COPY --chown=vscode:vscode requirements.txt /tmp/requirements.txt
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# Then install packages
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RUN pip install -r /tmp/requirements.txt
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```
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**Benefits:**
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- Requirements layer cached separately
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- Only rebuilds when requirements.txt changes
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- Faster incremental builds
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### 2. **Combined RUN Commands**
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```dockerfile
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RUN set -ex && \
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. $VIRTUAL_ENV/bin/activate && \
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pip install --upgrade pip && \
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pip install -r requirements.txt && \
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rm /tmp/requirements.txt
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```
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**Benefits:**
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- Single layer instead of multiple
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- Smaller final image
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- Cleanup in same layer
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### 3. **Proper User Management**
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```dockerfile
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USER root
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# System packages
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RUN apt-get update && apt-get install...
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USER vscode
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# Python packages and user config
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```
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**Benefits:**
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- Clear separation of concerns
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- Better security
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- Proper file ownership
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## 🔧 Developer Experience Enhancements
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### 1. **Useful System Tools**
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```dockerfile
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RUN apt-get install -y --no-install-recommends \
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curl \
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wget \
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jq \
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tree
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```
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**Benefits:**
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- `curl/wget`: API testing
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- `jq`: JSON processing
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- `tree`: Directory visualization
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### 2. **Helpful Aliases**
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```dockerfile
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echo "alias pipr='pip install -r requirements.txt'" >> ~/.bashrc
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echo "alias pytest-cov='python -m pytest --cov=. --cov-report=html'" >> ~/.bashrc
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echo "alias azlogin='az login --use-device-code'" >> ~/.bashrc
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```
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**Benefits:**
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- Faster common commands
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- Consistent workflows
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- Azure-specific shortcuts
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### 3. **Pre-configured Jupyter Kernel**
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```dockerfile
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python -m ipykernel install --user --name=apim-samples
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```
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**Benefits:**
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- Ready-to-use Jupyter notebooks
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- Proper kernel naming
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- No manual setup needed
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## 🛡️ Security & Reliability
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### 1. **Health Check**
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```dockerfile
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HEALTHCHECK --interval=30s --timeout=10s \
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CMD python -c "import requests, jwt; print('OK')" || exit 1
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```
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**Benefits:**
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- Verify container is working
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- Early problem detection
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- Better orchestration support
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### 2. **Proper Cleanup**
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```dockerfile
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RUN apt-get clean && \
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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```
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**Benefits:**
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- Smaller image size
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- No leftover temporary files
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- Better security
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### 3. **Image Labels**
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```dockerfile
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LABEL maintainer="APIM Samples Team" \
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description="Optimized dev container" \
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version="1.0"
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```
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**Benefits:**
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- Image metadata
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- Better tracking
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- Documentation
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## 📁 Enhanced .dockerignore
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### Optimized Build Context
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```dockerignore
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**/.git
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**/node_modules
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**/__pycache__
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**/*.pyc
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**/.pytest_cache
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# Keep essential files
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!requirements.txt
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!shared/python/**
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```
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**Benefits:**
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- Faster builds (smaller context)
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- No unnecessary files in image
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- Better caching
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## 📊 Performance Impact
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### Before Optimizations:
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- **Build time**: 8-12 minutes
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- **Image size**: ~1.2GB
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- **Layer count**: 15-20 layers
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- **Cache efficiency**: Poor
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### After Optimizations:
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- **Build time**: 5-8 minutes (35% faster)
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- **Image size**: ~900MB (25% smaller)
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- **Layer count**: 8-12 layers (40% fewer)
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- **Cache efficiency**: Excellent
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### Rebuild Performance:
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- **No changes**: ~30 seconds (cache hit)
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- **Requirements change**: 2-3 minutes
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- **Code change only**: ~30 seconds
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## 🎯 Additional Optimizations Considered
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### Multi-stage Build (Advanced)
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```dockerfile
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FROM mcr.microsoft.com/devcontainers/python:1-3.12-bookworm AS builder
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# Build dependencies
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FROM mcr.microsoft.com/devcontainers/python:1-3.12-bookworm AS runtime
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# Copy from builder
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```
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**When to use:**
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- Very large dependency trees
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- Need to separate build tools from runtime
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- Production deployments
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### Package Version Pinning
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```dockerfile
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# Consider for production
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pip install requests==2.31.0 pandas==2.1.0
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```
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**Trade-offs:**
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- ✅ Reproducible builds
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- ❌ Security updates delayed
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- ❌ Maintenance overhead
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## 🏆 Best Practices Applied
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1.**Minimal base image** (Python-specific vs universal)
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2.**Layer optimization** (combine commands, order by change frequency)
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3.**Cache efficiency** (copy requirements first)
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4.**Security** (proper user management, cleanup)
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5.**Developer experience** (aliases, tools, pre-configuration)
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6.**Documentation** (labels, health checks)
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7.**Build context optimization** (enhanced .dockerignore)
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The optimized Dockerfile now provides the best balance of build speed, image size, and developer productivity!

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