Dockerfile

# Multi-stage Dockerfile for AI Notes Summarizer
# Stage 1: Base image with system dependencies
FROM python:3.10-slim as base

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

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    software-properties-common \
    git \
    && rm -rf /var/lib/apt/lists/*

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

# Stage 2: Dependencies installation
FROM base as dependencies

# Set working directory
WORKDIR /app

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

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

# Stage 3: Application
FROM dependencies as application

# Copy application code
COPY --chown=app:app . .

# Create necessary directories
RUN mkdir -p /app/uploads /app/logs && \
    chown -R app:app /app

# Switch to non-root user
USER app

# Expose port
EXPOSE 8501

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8501/_stcore/health || exit 1

# Default command
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.headless=true", "--server.fileWatcherType=none", "--browser.gatherUsageStats=false"]