Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/onenote-deploy-integration/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill onenote-deploy-integration. Copyright stays with the author (MIT).

OneNote Deploy Integration

Overview

Deploying OneNote integrations into containers breaks local development assumptions: MSAL token caches vanish on restart, health checks must validate Graph API connectivity (not just HTTP 200), and graceful shutdown must flush token state. This skill provides production-ready Dockerfile, Docker Compose, and Kubernetes manifests with MSAL token persistence, health/readiness probes that verify actual Graph reachability, and SIGTERM handling.

Prerequisites

Docker 24+ and Docker Compose v2
Node.js 20 LTS or Python 3.11+
Azure AD app registration with delegated permissions (Notes.Read, Notes.ReadWrite)
Redis (recommended for multi-replica) or persistent volume for token cache

Instructions

Dockerfile

FROM node:20-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY tsconfig.json src/ ./
RUN npm run build

FROM node:20-slim
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./
RUN mkdir -p /app/.cache/msal && chown -R node:node /app/.cache
USER node
ENV NODE_ENV=production MSAL_CACHE_DIR=/app/.cache/msal
HEALTHCHECK --interval=30s --timeout=10s --start-period=15s --retries=3 \
  CMD curl -sf http://localhost:3000/health || exit 1
EXPOSE 3000
CMD ["node", "dist/index.js"]

MSAL Token Cache Persistence

File-based (single replica):

// src/auth/token-cache.ts
import { readFile, writeFile, mkdir } from "fs/promises";
import { existsSync } from "fs";
import path from "path";

const CACHE_DIR = process.env.MSAL_CACHE_DIR || "/app/.cache/msal";
const CACHE_FILE = path.join(CACHE_DIR, "token-cache.json");

export async function loadCache(): Promise<string | null> {
  try {
    if (existsSync(CACHE_FILE)) return await readFile(CACHE_FILE, "utf-8");
  } catch (err) { console.error("Failed to load token cache:", err); }
  return null;
}

export async function saveCache(contents: string): Promise<void> {
  await mkdir(CACHE_DIR, { recursive: true });
  await writeFile(CACHE_FILE, contents, { mode: 0o600 });
}

Redis-based (multi-replica):

// src/auth/redis-cache.ts
import { createClient, RedisClientType } from "redis";
const CACHE_KEY = "msal:onenote:token-cache";
let redis: RedisClientType;

export async function initRedisCache(): Promise<void> {
  redis = createClient({ url: process.env.REDIS_URL || "redis://localhost:6379" });
  redis.on("error", (err) => console.error("Redis cache error:", err));
  await redis.connect();
}
export async function loadCache(): Promise<string | null> { return redis.get(CACHE_KEY); }
export async function saveCache(contents: string): Promise<void> {
  await redis.set(CACHE_KEY, contents, { EX: 86400 }); // 24h TTL
}
export async function flushAndDisconnect(): Promise<void> { await redis.quit(); }

Health Check Endpoint

Validates Graph API connectivity, not just HTTP liveness:

// src/health.ts
app.get("/health", async (_req, res) => {
  const checks: Record<string, string> = {};
  let healthy = true;
  try { await getGraphClient(); checks.auth = "ok"; }
  catch { checks.auth = "failed"; healthy = false; }
  try {
    await (await getGraphClient()).api("/me/onenote/notebooks").top(1).get();
    checks.graph_api = "ok";
  } catch (err: any) {
    checks.graph_api = err?.statusCode === 429 ? "rate_limited" : "failed";
    if (err?.statusCode !== 429) healthy = false;
  }
  res.status(healthy ? 200 : 503).json({ status: healthy ? "healthy" : "unhealthy", checks });
});

app.get("/ready", async (_req, res) => {
  try { await getGraphClient(); res.json({ ready: true }); }
  catch { res.status(503).json({ ready: false }); }
});

Graceful Shutdown

// src/shutdown.ts
export function registerShutdownHandlers(server: any, getCacheContents: () => string): void {
  let shuttingDown = false;
  const shutdown = async (signal: string) => {
    if (shuttingDown) return;
    shuttingDown = true;
    console.log(`${signal} received. Flushing token cache...`);
    try { await saveCache(getCacheContents()); } catch (e) { console.error("Cache flush failed:", e); }
    server.close(() => process.exit(0));
    setTimeout(() => { console.error("Forced exit after 10s"); process.exit(1); }, 10_000);
  };
  process.on("SIGTERM", () => shutdown("SIGTERM"));
  process.on("SIGINT", () => shutdown("SIGINT"));
}

Docker Compose (Local Development)

version: "3.9"
services:
  onenote-service:
    build: .
    ports: ["3000:3000"]
    environment:
      - AZURE_TENANT_ID=${AZURE_TENANT_ID}
      - AZURE_CLIENT_ID=${AZURE_CLIENT_ID}
      - REDIS_URL=redis://redis:6379
    depends_on:
      redis: { condition: service_healthy }
  redis:
    image: redis:7-alpine
    ports: ["6379:6379"]
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s

Kubernetes Deployment

apiVersion: apps/v1
kind: Deployment
metadata: { name: onenote-integration }
spec:
  replicas: 2
  selector: { matchLabels: { app: onenote-integration } }
  template:
    metadata: { labels: { app: onenote-integration } }
    spec:
      terminationGracePeriodSeconds: 15
      containers:
        - name: onenote
          image: your-registry/onenote-integration:latest
          ports: [{ containerPort: 3000 }]
          env:
            - { name: AZURE_TENANT_ID, valueFrom: { secretKeyRef: { name: onenote-creds, key: tenant-id } } }
            - { name: AZURE_CLIENT_ID, valueFrom: { secretKeyRef: { name: onenote-creds, key: client-id } } }
            - { name: REDIS_URL, value: "redis://redis-service:6379" }
          livenessProbe:
            httpGet: { path: /health, port: 3000 }
            initialDelaySeconds: 15
            periodSeconds: 30
          readinessProbe:
            httpGet: { path: /ready, port: 3000 }
            initialDelaySeconds: 5
          resources:
            requests: { memory: "128Mi", cpu: "100m" }
            limits: { memory: "256Mi" }

Output

Dockerfile — multi-stage build with MSAL cache directory and health check
docker-compose.yml — local development stack with Redis
k8s/deployment.yaml — Kubernetes deployment with liveness/readiness probes
src/auth/token-cache.ts — file-based MSAL cache persistence
src/auth/redis-cache.ts — Redis-backed MSAL cache for multi-replica
src/health.ts — health and readiness endpoints validating Graph API
src/shutdown.ts — graceful shutdown with token cache flush

Error Handling

Deploy Error	Cause	Fix
Token cache empty after restart	Volume not mounted or permissions wrong	Verify volume mount; `chown node:node` on cache dir
Health returns 503	Graph API unreachable or token expired	Check `checks.graph_api`; re-authenticate if cache stale
Redis connection refused	Redis not started or wrong URL	Verify `REDIS_URL`; check Redis container health
`EACCES` on cache file	Container running as wrong user	Ensure `USER node` in Dockerfile
Liveness probe failing	`initialDelaySeconds` too short	Increase to 20-30s for slow token acquisition

Examples

# Build and run locally
echo "AZURE_TENANT_ID=your-tenant" >> .env
echo "AZURE_CLIENT_ID=your-client" >> .env
docker compose up --build
curl http://localhost:3000/health

# Deploy to Kubernetes
kubectl create secret generic onenote-creds \
  --from-literal=tenant-id=$AZURE_TENANT_ID \
  --from-literal=client-id=$AZURE_CLIENT_ID
kubectl apply -f k8s/deployment.yaml

Resources

Next Steps

Set up CI pipelines with onenote-ci-integration
Monitor rate limits in production with onenote-rate-limits
Add performance tuning with onenote-performance-tuning

onenote-deploy-integration

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