Dockerfile.simple

# Data Analysis Docker Environment - R Integration
# Lightweight version with Jupyter R kernel only
FROM python:3.12-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

# Set working directory
WORKDIR /app

# Install system dependencies including R and development tools for rpy2
RUN apt-get update && apt-get install -y \
    gcc \
    g++ \
    gfortran \
    libopenblas-dev \
    liblapack-dev \
    pkg-config \
    curl \
    git \
    vim \
    wget \
    r-base \
    r-base-dev \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
    libfontconfig1-dev \
    libharfbuzz-dev \
    libfribidi-dev \
    libfreetype6-dev \
    libpng-dev \
    libtiff5-dev \
    libjpeg-dev \
    && rm -rf /var/lib/apt/lists/*

# Create non-root user for security
RUN useradd --create-home --shell /bin/bash analyst && \
    echo "analyst:analyst" | chpasswd && \
    chown -R analyst:analyst /app

# Copy requirements first for better Docker layer caching
COPY requirements.txt .

# Install Python dependencies first (without rpy2)
RUN pip install --no-cache-dir -r requirements.txt

# Install essential R packages
RUN R -e "install.packages(c('tidyverse', 'dplyr', 'ggplot2', 'plotly', 'shiny', 'rmarkdown', 'knitr', 'devtools', 'IRkernel', 'readr', 'readxl', 'lubridate', 'stringr', 'tidyr', 'forcats', 'corrplot', 'VIM', 'mice', 'caret', 'randomForest', 'e1071', 'cluster', 'factoextra', 'fpc', 'DBI', 'RPostgreSQL', 'RSQLite', 'httr', 'jsonlite', 'xml2', 'rvest', 'reticulate'), repos='https://cloud.r-project.org/', Ncpus=4)"

# Install IRkernel for Jupyter R support
RUN R -e "IRkernel::installspec(user = FALSE)"

# Install Python-R integration packages after R is fully set up
RUN pip install --no-cache-dir rpy2 pyreadr

# Copy project files
COPY . .

# Copy R profile to analyst home directory
COPY .Rprofile /home/analyst/.Rprofile
RUN chown analyst:analyst /home/analyst/.Rprofile

# Change ownership to analyst user
RUN chown -R analyst:analyst /app

# Create necessary directories as analyst user
USER analyst
RUN mkdir -p data/raw data/processed data/external outputs/figures outputs/reports

# Switch back to root for startup
USER root

# Expose ports for Jupyter Lab
EXPOSE 8888

# Default command to start Jupyter Lab with both Python and R kernels
CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''", "--NotebookApp.password=''", "--ServerApp.allow_origin='*'", "--ServerApp.disable_check_xsrf=True"]