Mr. Drew's Assignment Creator — Docker share build

Self-contained Dockerized build for end users. Run via docker compose;
see README.md for setup. Source-only, no sample data or build artifacts.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

docker/Dockerfile

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+# Mr. Drew's Assignment Creator — production image.
+# Build context is the repository root:  docker build -f docker/Dockerfile .
+# (docker-compose.yml in this folder does that for you.)
+
+FROM node:20-alpine AS deps
+WORKDIR /app
+COPY package.json package-lock.json ./
+RUN npm ci
+
+FROM node:20-alpine AS build
+WORKDIR /app
+COPY --from=deps /app/node_modules ./node_modules
+COPY . .
+RUN npm run build
+
+FROM node:20-alpine AS run
+WORKDIR /app
+ENV NODE_ENV=production HOSTNAME=0.0.0.0 PORT=3000
+# Next.js "standalone" output: a self-contained server, no node_modules needed.
+COPY --from=build /app/.next/standalone ./
+COPY --from=build /app/.next/static ./.next/static
+# The single-file database lives here — mounted as a volume by compose.
+RUN mkdir -p /app/data && chown -R node:node /app
+USER node
+EXPOSE 3000
+CMD ["node", "server.js"]

docker/docker-compose.linux.yml

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+# Linux variant — run:  docker compose -f docker-compose.linux.yml up -d
+#
+# Uses host networking, so the container sees Ollama / LM Studio on plain
+# localhost exactly like a native install. No URL or firewall fiddling, and
+# Ollama can stay bound to 127.0.0.1. (Host networking is a Linux-only
+# Docker feature; macOS/Windows users should use docker-compose.yml.)
+services:
+  assignment-creator:
+    build:
+      context: ..
+      dockerfile: docker/Dockerfile
+    network_mode: host # app serves on localhost:3000, talks to localhost:11434
+    volumes:
+      - assignment-data:/app/data
+    restart: unless-stopped
+
+volumes:
+  assignment-data:

docker/docker-compose.yml

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+# Mr. Drew's Assignment Creator — run:  docker compose up -d   (from this folder)
+#
+# Works out of the box with Docker Desktop (macOS / Windows):
+# the app reaches Ollama / LM Studio running on YOUR machine via
+# host.docker.internal. On plain Linux, use docker-compose.linux.yml instead.
+services:
+  assignment-creator:
+    build:
+      context: ..
+      dockerfile: docker/Dockerfile
+    ports:
+      - "3000:3000"
+    environment:
+      # Default provider URLs point at the Docker HOST (your machine).
+      # You can always change them later on the app's Settings page.
+      - OLLAMA_BASE_URL=http://host.docker.internal:11434
+      - LMSTUDIO_BASE_URL=http://host.docker.internal:1234
+    extra_hosts:
+      # Makes host.docker.internal resolve on Linux engines too.
+      - "host.docker.internal:host-gateway"
+    volumes:
+      # All assignments + settings live in one JSON file inside this volume.
+      - assignment-data:/app/data
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "wget", "-q", "--spider", "http://localhost:3000/api/settings"]
+      interval: 30s
+      timeout: 5s
+      retries: 3
+
+volumes:
+  assignment-data: