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POKYH — Backend

The API, realtime layer and admin panel behind POKYH — the school companion app for LBS Brixen.

Node.js · Express 5 · TypeScript · Prisma · MySQL · Server-Sent Events · Web Push · self-hosted via Docker


Table of contents


What this is

POKYH adds a social/organisational layer on top of WebUntis: shared class reminders, personal to-dos, the cafeteria menu with ratings & comments, and push notifications. This backend is the single source of truth for everything that is not WebUntis data.

Users never log in here with a password. They authenticate against WebUntis in the web frontend or the iOS app, which then perform a trusted server-to-server login here (guarded by a shared SERVER_KEY) to mint a POKYH session. Parents/guardians receive no POKYH class identity or membership; child data needed by WebUntis stays outside that assignment.

It also serves a built-in React admin panel at /admin/. Public DNS, TLS termination and ingress are operated outside the application container.


Architecture

┌──────────────┐         ┌──────────────┐
│  Web (Next)  │         │  iOS (Swift) │
└──────┬───────┘         └──────┬───────┘
       │  X-API-Key + (X-Server-Key for login)
       │  Bearer <JWT> for user requests
       ▼                        ▼
┌─────────────────────────────────────────────┐
│                POKYH Backend                  │
│  Express 5  ·  JWT auth  ·  rate limiting     │
│  REST  +  SSE (realtime)  +  Web Push         │
│  /admin/  (React SPA, JWT-protected)          │
└───────────────┬───────────────────┬──────────┘
                │                   │
        ┌───────▼──────┐    ┌───────▼────────┐
        │  MySQL 8     │
        │  (Prisma)    │
        └──────────────┘
  • Stateless HTTP — horizontally scalable; JWTs carry identity, refresh tokens live in MySQL.
  • Non-blocking boot — the HTTP server starts immediately; the database is created, migrated (prisma db push) and connected in the background with retry/backoff. A cold or missing DB never blocks startup.
  • Config-driven, zero hardcoded hosts — CORS origins, the public hostname and every limit are derived from environment variables.

Pokyh Learn extension

The additive /learn router serves the separate learn.pokyh.com product. It does not change existing Pokyh routes or data. The built-in backend administration at api.pokyh.com/admin/ contains a separately scoped Learn area for safe Learn configuration and group management; it uses the existing administrator session but does not blend Learn records into unrelated school screens. The Learn web app may offer its own Learn-only /admin client surface, but the backend remains the authority for every configuration, membership, and access decision.

  • Learn accepts only accounts whose login has been confirmed against WebUntis; a local Pokyh fallback account cannot open Learn data or receive a Learn grant.
  • In production, the Learn WebUntis sign-in is fail-closed until the operator configures a non-secret authorisation reference and a versioned HTTPS privacy notice. The acknowledgement records transparency, not a legal basis; the controller/school must complete its own approval and privacy review before activation.
  • Course content, access grants, team membership, quiz grading, review state, progress and imports are all MySQL-backed server decisions. A learner marks a real section complete; the server derives the enrollment percentage.
  • Quiz attempts also create a private per-user/per-course/day count aggregate in the same MySQL transaction. The optional Compose Redis service can cache only an already-authorized course-specific analytics response; it stores no answer text, answer keys, credentials, permissions, or durable learning state and falls back to MySQL if unavailable.
  • Group creation, membership changes, and linking a course to a group are canonical Pokyh administrator operations. Membership labels grant only the team-course access confirmed by the backend; they do not delegate group administration to a learner.
  • Personal JSON export/import is scoped to the caller's own authored courses, vocabulary and review state. Imports create new private drafts and cannot carry roles, grants, teams, credentials or other people's content.
  • An optional dictionary suggestion adapter is configured only with LEARN_DICTIONARY_*. It is called explicitly by an authorized editor and never becomes the quiz-answer authority.

Tech stack

Concern Choice
Runtime Node.js 22 (Alpine in production)
Web framework Express 5
Language TypeScript (strict)
ORM / DB Prisma 5 · MySQL 8
Auth JWT access tokens + opaque, hashed refresh tokens (bcrypt admin password)
Realtime Server-Sent Events (/sse/*)
Push Web Push (VAPID)
Images sharp (dish images, subject icons)
Hardening helmet, cors, express-rate-limit
Logging winston + daily-rotate files
Ingress External reverse proxy or infrastructure load balancer

Quick start

Prerequisites

  • Node.js ≥ 22
  • A MySQL 8 database (local or the bundled Docker service)

Local development

# 1. Install dependencies
npm install

# 2. Create your environment file
cp .env.example .env
#    → fill in DATABASE_URL and generate the secrets (see Configuration)

# 3. Generate the Prisma client + apply the schema
npx prisma generate
npm run db:push

# 4. Run in watch mode
npm run dev

The API is now on http://localhost:4000, the admin panel on http://localhost:4000/admin/. On first run, open /admin/ to create the administrator account.

Run everything with Docker (recommended for parity with prod)

# Development example only: replace placeholders; never commit the resulting file.
cp .env.example .env
./scripts/compose-stack.sh up --build -d

scripts/compose-stack.sh selects one operator-owned environment file for the app and the MySQL initialisation config, while disabling Compose's automatic project-.env parsing. The service-level env_file uses Compose's raw format, so values such as bcrypt hashes are passed literally rather than being interpolated by Compose. MySQL receives only its root password and database name; the full backend environment is never injected into the MySQL process.

For a separately managed private file, select it once:

BACKEND_ENV_FILE=/secure/path/backend.env \
  ./scripts/compose-stack.sh up --build -d

This starts MySQL and an internal, non-persistent Redis service behind healthchecks, then starts the app. Redis is not published to the host network and is only the optional private Learn analytics cache; MySQL remains the durable source of truth.


Configuration

All configuration is environment-driven. See .env.example for the complete, commented list. Required values fail fast on boot if missing.

Generate the secrets

# Each of these:
openssl rand -hex 32      # JWT_SECRET, REFRESH_TOKEN_SECRET, API_KEY, SERVER_KEY

# Web Push (VAPID) key pair:
npx web-push generate-vapid-keys

The keys that matter most

Variable Purpose
DATABASE_URL MySQL connection string. If blank, it is built from the DB_* fields.
JWT_SECRET Signs access tokens.
REFRESH_TOKEN_SECRET Secret for refresh-token handling.
API_KEY Public-ish key every client must send as X-API-Key. Must match the frontend/iOS key.
SERVER_KEY Secret. Trusted server-to-server login key (X-Server-Key). Only the web/iOS servers hold it.
CORS_ORIGIN Comma-separated allowed browser origins (e.g. https://pokyh.com). The matching www/apex host is accepted too; list other subdomains explicitly.
LEARN_ALLOWED_ORIGINS Exact browser-origin allow-list for the additive /learn router.
LEARN_LEGAL_* Production WebUntis activation gate: non-secret approval reference, HTTPS notice URL and notice version.
LEARN_DICTIONARY_* Optional, server-only vocabulary suggestion policy, HTTPS endpoint, pairs, timeout and bounded cache.
LEARN_AI_* Self-hosted, CPU-only vocabulary-sentence trainer: disabled by default; even when enabled, access still requires a LearnAiAccessGrant for the person (npm run grant-ai-access) or a LearnAiTeamAccessGrant for their whole team (npm run grant-ai-access-team). It only receives a server-authorized vocabulary entry and returns a structured sentence/translation; the model has thinking disabled and cannot browse or receive user prompts/files.
LEARN_IMPORT_* Maximum personal Learn courses, sections and vocabulary entries accepted in one import.
LEARN_REVIEW_* / LEARN_ANALYTICS_RETENTION_DAYS Bounded adaptive-review policy and retention for private daily activity aggregates.
LEARN_REDIS_URL / LEARN_REDIS_KEY_PREFIX / LEARN_ANALYTICS_CACHE_TTL_SECONDS Optional internal course-specific analytics cache. Do not expose Redis publicly or use it for tokens, answers, permissions, or durable state.
REQUEST_LOG_RETENTION_DAYS / LOG_FILE_RETENTION_DAYS Finite retention for database/file request logs containing technical security data.
TRUST_PROXY false for direct exposure; set the exact trusted proxy topology only when an operator puts one in front of the API.
VAPID_* Web Push key pair + contact e-mail.

Trusted callers bypass the auth/refresh rate limiters. A request carrying a valid X-Server-Key skips the per-IP brute-force limiter — because every user's login is proxied through one frontend-server IP, and a shared bucket would lock everyone out at scale.


Database

Prisma is the single schema source (prisma/schema.prisma). Key models:

  • Identity — User, Admin, RefreshToken, ApiKey
  • Classes — Class, ClassMember (student memberships only; parents are always unassigned)
  • Content — Todo, Reminder, Comment, DishComment
  • Cafeteria — Dish, DishImage, DishRating
  • Subjects — KnownSubject, SubjectImage
  • School-year archiving — SchoolYear, ArchivedUser, ArchivedClass, ArchivedTodo, ArchivedReminder
  • Telemetry — RequestLog, FrontendActivityLog
npm run db:push      # apply schema to the database (idempotent, additive)
npm run db:studio    # open Prisma Studio (visual DB browser)
npm run db:migrate   # create a dev migration
npm run db:reset     # ⚠ drop & recreate (destroys all data)

On boot the server runs a non-destructive prisma db push automatically (DB_AUTO_PUSH=true), so additive schema changes are applied on every deploy.


Authentication & security

Two layers, clearly separated:

  1. API key — every non-admin route requires X-API-Key: <API_KEY>. Coarse gate that keeps anonymous traffic off the API.
  2. User session — clients exchange a trusted WebUntis login (POST /auth/login with X-Server-Key) for a short-lived JWT access token + a long-lived, hashed refresh token. User requests then send Authorization: Bearer <JWT>.

Hardening highlights

  • helmet security headers; strict, allow-list CORS configured entirely through CORS_ORIGIN and LEARN_ALLOWED_ORIGINS.
  • Tiered rate limiting: global, auth (strict, per-IP brute-force), refresh (generous — refresh is gated by an unguessable token), read, write, SSE and admin-login limiters. Trusted server-key callers bypass auth/refresh limits.
  • Refresh tokens are stored hashed (SHA-256); one active session per user.
  • Force-revoked sessions (admin revoke, password reset, account deletion) are persisted in token_revocations, so a restart does not re-admit a revoked access token.
  • Admin password stored as a bcrypt hash; admin routes require a JWT + admin membership.
  • timingSafeEqual for all key comparisons.

API overview

Base URL: the HTTPS API origin operated by your infrastructure (for example https://api.pokyh.com). All times are ISO-8601 UTC.

Group Mount Notes
Auth /auth/login · /refresh · /logout · /me · /register Server-to-server + token lifecycle
Users /users/:username Profile lookup
To-dos /users/:username/todos Per-user, CRUD + SSE
Classes /classes · /classes/mine · /classes/:id Auto join/create by WebUntis class id
Reminders /classes/:classId/reminders Class-wide, CRUD + SSE
Reminder comments /classes/:classId/reminders/:reminderId/comments Threaded comments + SSE
Dishes /dishes Public read-only menu
Dish ratings /dish-ratings (/:id, /batch) Stars + SSE
Dish comments /dish-comments/:dishId Comments + SSE
Subject images /subject-images Icon catalog (GET public, write = admin)
Push /push Web Push subscription registration
Activity log /activity-log Frontend telemetry
Learn /learn/* Additive learning API; API key, then per-resource bearer authorization
Learn sign-in /auth/learn-login API-key-gated WebUntis verification for the Learn BFF only; production legal gate must be ready before verification
Admin /api/admin/* JWT + admin only (no API key)
Cluster admin /api/admin/cluster Peers, pairing, status — see Cluster
Cluster channel /cluster/v1/* Node-to-node only; encrypted frames, own authentication, 404 while no peer is configured
Setup /api/setup First-run wizard
Health /health Liveness probe
Readiness /readyz DB-aware readiness probe for Compose/load balancers

Realtime (SSE)

Live updates are delivered via Server-Sent Events under /sse/* (to-dos, reminders, reminder comments, dish ratings, dish comments). Because EventSource cannot set headers, SSE endpoints accept the token and API key as query parameters and emit periodic heartbeats (SSE_HEARTBEAT_MS). Clients reconnect automatically.


Background jobs

Started once the DB is reachable (src/index.ts → startBackgroundJobs):

  • Session cleanup — prunes expired/revoked refresh tokens.
  • Archiver — moves to-dos/reminders overdue by ARCHIVE_AFTER_HOURS into an admin-viewable archive.
  • Push poller — sends due reminder notifications (no-op without VAPID keys).
  • School-year rollover — on the configured date (default 1 August), snapshots all non-admin users, classes, to-dos and reminders into the school_years archive tables and clears the live tables so the new year starts fresh. Idempotent; configurable month/day.

In a cluster these four run on one node only (the leader), so a notification is never sent once per node. Backups and request-log cleanup stay per node.


Admin panel

A React + Vite SPA is built into the image and served at /admin/ (same-origin, JWT-protected). It covers the existing Pokyh users, classes, sessions, dishes & images, comments, to-dos/reminders, logs, and school-year archives. Its dedicated Learn area is visibly separate from those records and manages safe Learn policy through /api/admin/learn-config plus group administration through /api/admin/learn/teams. It never returns secrets, raw quiz answers, or unrelated school data as part of a Learn view.

learn.pokyh.com/admin is a separate frontend product surface and may consume the scoped /learn/admin/* routes. It does not replace the backend admin boundary or confer administrator status; every server route repeats the canonical Pokyh administrator check.

The legacy /api/admin/import cannot run while Learn records exist, preventing a legacy restore from cascading into Learn data. Use the scoped Learn personal export/import routes for learner portability, and plan a dedicated, reviewed platform backup/migration before treating either surface as a full Learn backup.

npm run admin:dev      # run the admin panel in dev (Vite)
npm run admin:build    # build it into admin/dist (also done by the Docker build)

Deployment

Production runs as a Docker image (multi-stage Dockerfile) that:

  1. Builds the API (tsc) and the admin panel.
  2. Installs openssl (Prisma engine on Alpine) and drops runtime privileges to the application user.
  3. On start (entrypoint.sh), launches the server, which self-bootstraps the database.
./scripts/compose-stack.sh up --build -d

On the bundled compose stack the app waits for both MySQL and internal Redis healthchecks, then the container healthcheck calls /readyz (which verifies database reachability) before it is considered ready. Redis availability is not the durable readiness authority: its failure must degrade private analytics to MySQL rather than lose learning data. The existing /health remains a lightweight liveness endpoint. Publish the container deliberately through an externally operated TLS reverse proxy or load balancer.

Production boundaries

This Compose file is a single-host deployment topology, not an off-host backup, restore, disaster-recovery, or migration-management system. Its named MySQL volume is durable only as far as the Docker host and its storage remain intact. No encrypted off-host backup target, restore runbook, scheduled backup job, or reviewed production migration workflow is configured by this repository.

DB_AUTO_PUSH=true can apply Prisma schema changes at startup; that is a deployment convenience, not evidence that a production migration has been reviewed, backed up, or rehearsed. Before a production schema change, use a reviewed migration plan, take and test an operator-managed backup/restore, and verify the target database separately. Do not treat personal Learn JSON export or the admin UI as a platform backup.

AI vocabulary trainer service

The self-hosted, CPU-only Ollama container starts automatically with the rest of the stack — a plain docker compose up -d (which is how Dokploy and similar platforms deploy this file directly, without scripts/compose-stack.sh) brings it up along with mysql/redis/app. No profile flag is needed. It stays functionally dormant until an operator sets LEARN_AI_ENABLED=true (the model is only pulled once that flag is on) — see "AI vocabulary trainer" configuration above.

It runs on its own internal-only network with no host port, is not a hard dependency of app (every non-AI route keeps working if it is stopped, disabled, or still pulling its model), and persists its downloaded model in the named ollama_data volume so it is not re-fetched on every restart. Grant a pilot user access with npm run grant-ai-access <username> (revoke with npm run revoke-ai-access <username>), or a whole team at once with npm run grant-ai-access-team <team-id-or-name> — there is no platform-wide toggle for end users, only the admin LEARN_AI_ENABLED kill-switch plus at least one of these grants. No GPU is requested anywhere in the compose file; do not install nvidia-container-toolkit for this service.

Size OLLAMA_MEM_LIMIT/OLLAMA_CPUS to the real host, always leaving headroom for MySQL/Redis/the app/OS — see the commented block in .env.example. These two, plus OLLAMA_KEEP_ALIVE/OLLAMA_NUM_PARALLEL/ OLLAMA_MAX_LOADED_MODELS/OLLAMA_NUM_THREAD, only reach the deployed container through scripts/compose-stack.sh (it extracts this specific non-secret set and exports them as real shell variables) — setting them in .env alone does nothing if the stack is started any other way, since Compose's own .env auto-loading is deliberately disabled here to protect $-containing secrets elsewhere in that file.

Logs

The app service emits structured JSON events to stdout/stderr, so inspect a running deployment with docker compose logs -f app. Docker's local log driver keeps this container stream bounded to five 10 MiB files. The existing local daily files under ./logs/ remain available outside Docker and are bounded by LOG_FILE_RETENTION_DAYS. A defense-in-depth redaction formatter masks common credential fields and connection-string credentials, but request bodies and secrets must still never be passed to logger calls.


Cluster (multi-node replication)

Several backend nodes — each with its own MySQL database — can be linked so that they hold the same data. A change made through any node reaches the others within about a second, nodes watch each other, and a node that was offline catches up by itself when it returns. The feature is dormant until the first peer is added: a standalone server installs no trigger and behaves exactly as before.

Adding a node

Admin panel → Cluster on both nodes:

  1. On node A enter node B's address (IP or host, optional port — default 4000) and a pairing key. Erzeugen creates a strong one; any key of at least 16 characters is accepted.
  2. On node B enter node A's address and the same pairing key.
  3. The nodes find each other, verify that both know the key and agree on a link key. Both sides then show the peer as Online and the initial transfer starts. The pairing key is discarded; an unused pairing window closes after CLUSTER_PAIRING_TTL_MINUTES and locks after repeated wrong keys.

For more than two nodes, pair each new node with at least one existing node; changes are passed on, so every node receives everything. Pairing every node with every other is still recommended, because it keeps replication going when one node is down.

Requirements: the nodes must reach each other's API port in both directions; they must run the same version (replication with a peer pauses while the database schemas differ, e.g. during a rolling upgrade); their clocks must be synchronised (NTP); and the database account must be allowed to create triggers (the bundled Compose stack qualifies). For clients to move freely between nodes, give all nodes the same JWT_SECRET, REFRESH_TOKEN_SECRET, API_KEY and SERVER_KEY — the Cluster page warns when they differ. Routing clients to a healthy node (DNS, load balancer) is outside this repository.

What protects the link

  • Pairing: the pairing key is stretched with scrypt and a random salt, and authenticates an ephemeral X25519 key exchange with confirmation on both sides. The result is a 256-bit link key that never travels over the network.
  • Every connection: a fresh ephemeral X25519 exchange, authenticated with the link key — recorded traffic stays unreadable even if a link key leaks later.
  • Every message: AES-256-GCM with separate keys per direction and a unique counter; altered, replayed or foreign messages are rejected.
  • At rest: link keys are stored encrypted (key derived from CLUSTER_SECRET, or from JWT_SECRET when unset) and are never logged or returned by any API.

The channel does not depend on TLS, so it also works between bare IP addresses. It protects the data in transit and makes sure only paired nodes take part; it cannot protect against a node that is itself compromised, or against someone who obtains the pairing key while a pairing is open. A paired node receives the complete data set — only pair nodes you control.

How data is kept consistent

  • Triggers record each change in the same transaction as the change itself, whatever wrote it (API, raw SQL, the CLI scripts). Replicated: every table except request_logs, frontend_activity_logs, backup_config and the cluster_* bookkeeping tables (plus CLUSTER_EXCLUDE_TABLES).
  • Rows travel in their current state. If the same row was changed on two nodes, the later change wins on every node. Deleting a parent removes its dependants everywhere.
  • The same unique value created independently on two nodes (the same account, for instance): the row created first is kept and the other is removed on all nodes. Two different courses with the same address, or two list entries at the same position, are both kept and one is adjusted.
  • Counters that are incremented on several nodes at once keep the later node's total.
  • Live updates (SSE), the menu cache and session revocations follow replicated changes, so a client connected to one node sees a change made through another.

Failure handling

Each node sends its peers an authenticated heartbeat every CLUSTER_HEARTBEAT_INTERVAL_MS. After CLUSTER_SUSPECT_AFTER_FAILURES missed answers a peer is shown as Antwortet nicht, after CLUSTER_OFFLINE_AFTER_FAILURES as Offline; both are logged (cluster_peer_suspect, cluster_peer_offline, cluster_peer_online). Changes are queued for an offline peer and delivered when it is back. The leader — the node that runs the once-only background jobs — is the reachable node with the smallest id; when it goes offline the next one takes over.

A peer that was out of contact for longer than CLUSTER_TOMBSTONE_RETENTION_DAYS may still hold rows that were deleted in the meantime. Replication with it is put on hold until an administrator confirms a resync (or, better, sets the node up again with an empty database).

Backups and manual changes

Backups stay per node. Restoring a backup on a node with peers makes the restored rows the current version on every node; rows created after the backup are kept. If the database was changed underneath the application (a restore done by hand, trigger removal), the Cluster page reports that changes went unrecorded and offers to publish this node's data to all peers (POST /api/admin/cluster/rebuild).

Limits worth knowing

  • Consistency is eventual: for about a second after a write, another node may still return the old state.
  • The initial transfer of an existing database runs at a few hundred rows per second.
  • Rate limits and the optional Redis cache are per node.
  • Two classes created for the same WebUntis class on two separated nodes are both kept, since no database constraint identifies them as the same.

Verifying

npm run test:cluster starts a throw-away MySQL container and three backend processes and runs the whole life cycle against them: pairing, initial transfer, live replication, node failure and recovery, conflicting changes on separated nodes, replayed and tampered traffic, backup restore. It needs Docker and does not touch a local .env or database.


Operations & maintenance

Helper scripts (run inside the container or locally with a valid .env):

npm run make-admin <username>            # grant admin
npm run revoke-admin <username>          # revoke admin
npm run set-admin-password               # set/replace the admin password (bcrypt)
npm run create-user                      # create a local (non-WebUntis) user

Logs are written to rotating files (winston) and stdout; the admin panel exposes a log viewer.


Project layout

src/
├── index.ts            # app bootstrap, middleware, CORS, boot/retry, background jobs
├── config.ts           # all env parsing (fail-fast on required secrets)
├── db.ts               # Prisma client singleton
├── cluster/            # node pairing, encrypted channel, change capture, replication
├── middleware/         # apiKey, auth (JWT), rateLimiter, requireAdmin, requestLogger
├── routes/             # auth, users, todos, classes, reminders(+comments),
│                       # dishes/ratings/comments, subjectImages, sse, admin, setup, push
├── services/           # webuntis, sse, archiver, schoolYearArchiver, pushPoller
└── utils/              # cache, errors, logger, uid, revokedTokens
prisma/schema.prisma    # database schema (source of truth)
admin/                  # React + Vite admin panel (built into admin/dist)
scripts/                # admin/user management CLIs
tests/                  # unit tests (npm test) and the multi-node test (npm run test:cluster)
Dockerfile · docker-compose.yml · entrypoint.sh

Troubleshooting

Symptom Likely cause / fix
Logins fail with 429 at scale TRUST_PROXY unset → all clients share one IP bucket. Set TRUST_PROXY=loopback. Server-to-server logins must send a valid X-Server-Key (those bypass the limiter).
Browser CORS error from the frontend Add the frontend origin to CORS_ORIGIN. Its conventional www/apex counterpart is accepted too; list every other subdomain explicitly.
/auth/me returns 401 right after login The frontend/iOS didn't receive a token — check the server-to-server login response and X-Server-Key/X-API-Key.
422 on /auth/login Body validation failed — klasseId may be 0 (no class); the schema accepts that, but check the logged Zod error.
Prisma "property does not exist" Run npx prisma generate after schema changes.
DB unreachable on boot Non-fatal — the server retries with backoff. Check DATABASE_URL and the MySQL healthcheck.
Cluster peer stays Kopplung läuft The other node has no open pairing for this node yet, the address is not reachable in one direction, or the keys differ (the entry then locks — enter the key again on both nodes).
Cluster page: capture could not be set up The database account may not create triggers. Grant TRIGGER on the database (with binary logging and a non-SUPER account also set log_bin_trust_function_creators=1).
Cluster peer Online but nothing arrives Check the warnings on the Cluster page: different schema (finish the upgrade on both nodes) or a peer on hold after a very long absence.

Part of the POKYH project · Frontend (Next.js) · iOS (SwiftUI) · Backend (this repo)

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