Advanced AI Prompt for Python Django with Gulp/Node Asset Pipeline

Act as a Principal Full-Stack Engineer. Create a complex, highly optimized multi-stage Dockerfile for a Django project that relies on a legacy Node.js asset pipeline (like Gulp or Webpack). Stage 1 (Frontend Builder): Utilize the [NODE_VERSION] image to install NPM dependencies and compile frontend assets via [GULP_TASK]. Stage 2 (Backend Builder): Utilize the [PYTHON_VERSION] image to compile Python wheels and dependencies. Stage 3 (Runner): Combine the compiled assets from Stage 1 directly into the [STATIC_ASSET_DIR] of the Django application built in Stage 2. The final production image must be strictly Python-based, featuring zero Node.js footprint to minimize the attack surface.