Dockerfile

# Use lightweight Python 3.12 image
FROM python:3.12-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app

# Set working directory
WORKDIR /app

# Install system dependencies (required for some ML packages)
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy only requirements first to leverage Docker layer caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy essential project directories and files
COPY src/ ./src/
COPY api/ ./api/
COPY models/ ./models/
COPY data/ ./data/

# Open port 8000 for FastAPI
EXPOSE 8000

# Default command: Launch clinical inference gateway
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]