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Local-first homelab health monitoring with optional AI-agent integration and approval-gated repair

Project description

Homelab Guardian

PyPI

Homelab Guardian is a local-first homelab operations assistant built around read-only infrastructure collectors and local reports.

It is not another dashboard. It generates plain-English health reports that explain:

  • what is broken
  • what changed
  • what matters
  • what the safest next step is

Guardian started as a read-only "Daily Homelab Doctor" and has grown into a safe actuator for your homelab. The full arc, all opt-in:

  1. Monitor — optional read-only collectors (Docker, Home Assistant, network and TLS, disks, mounts, systemd, plus host-hardening checks: firewall, SSH, exposed services, pending updates, backup health) feed a structured status / summary / evidence / recommended_action contract.
  2. Report — local Markdown reports and a read-only web dashboard, each leading with what changed since the last scan; optional flap-damped Telegram notifications; an optional bring-your-own-model AI briefing.
  3. Attach an agent — an MCP server (guardian mcp) lets any AI agent read Guardian's verified state instead of re-deriving it; agent-delivery mode makes the agent the single voice with a deterministic Telegram critical-fallback.
  4. Self-heal (carefully) — approval-gated repair (guardian repair) can propose a whitelisted, parameterized fix, execute it only after a human approves, then verify recovery — never raw shell, fully audited, with an opt-in auto-approve tier for vetted, non-destructive actions.

Every step degrades gracefully and is off until you turn it on. Start at step 1 and go as far as you trust it.

Install: pip install homelab-guardian (add [mcp] for the agent server). New here? See the getting-started walkthrough.

Core principles

  • Local-first
  • Read-only against homelab infrastructure by default
  • Any action is opt-in, whitelisted, reversible-minded, and human-approved — Guardian proposes; a person approves; Guardian verifies. (See Approval-gated repair.)
  • Never raw shell, never an AI-generated command — actions are named, parameterized argv only; the model is never the authority
  • No cloud dependency required
  • Useful without AI
  • Secrets stay local
  • Every integration is optional
  • Collectors degrade gracefully when unavailable or unconfigured

Guardian does write its own local runtime state: Markdown reports, SQLite scan snapshots, acknowledgments, alert state, and retention cleanup. Optional integrations may send outbound requests for Telegram notifications or AI briefings when explicitly enabled.

Quick start

Guardian is on PyPI. Install it (a virtualenv or pipx keeps it isolated), then let the wizard write a working config and run your first scan:

pip install homelab-guardian          # or: pipx install homelab-guardian

guardian init      # answer a few questions; optionally scans your LAN
guardian doctor    # preflight check — verifies config, secrets, reachability
guardian           # first scan -> reports/latest.md
guardian serve     # read-only web view at http://localhost:8674

That's the whole loop: install, generate a config, scan, look. Open reports/latest.md in your editor or browse the dashboard.

To attach an AI agent over MCP, install the optional extra instead:

pip install 'homelab-guardian[mcp]'   # pulls the MCP SDK; enables `guardian mcp`

guardian init can probe your local network (read-only TCP connects, nothing is sent to any device) and recognizes common homelab services — Home Assistant, Proxmox, Pi-hole/AdGuard, Portainer, Plex, Jellyfin, Synology, QNAP, Uptime Kuma, and more — then writes a working config.yaml for you. Smart-speaker false positives (Google Cast devices) are fingerprinted and filtered out automatically. On a Linux host it also offers the zero-config host-hardening checks (firewall, SSH, exposed services, pending updates).

Ready to go further than monitoring? The From monitoring to self-healing walkthrough below takes you from a first scan to an agent reading Guardian over MCP to a human-approved repair.

Manual first-run steps

Prefer to write the config yourself? Start from the example instead of the wizard:

curl -O https://raw.githubusercontent.com/spezzuti/homelab-guardian/main/config.example.yaml
cp config.example.yaml config.yaml
mkdir -p data reports

Edit config.yaml locally. Do not commit it. (config.example.yaml documents the full config surface — every collector, secrets, MCP, repair, notifications.)

For Docker inventory, enable the Docker collector in config.yaml only on a Docker host or when using the socket proxy overlay:

collectors:
  docker:
    enabled: true
    socket_url: unix://var/run/docker.sock
    exclude_containers:
      - "homelab-guardian*"

Install from source (development)

To hack on Guardian, install the checkout in editable mode:

git clone https://github.com/spezzuti/homelab-guardian
cd homelab-guardian
python -m venv .venv
. .venv/bin/activate
pip install -e '.[mcp,dev]'    # editable, with the MCP extra and pytest

guardian --config config.yaml          # same CLI as the installed package
guardian --config config.example.yaml  # safe example run, no private services
guardian doctor --config config.yaml   # preflight check

The console command and python -m homelab_guardian.main are equivalent; guardian doctor and guardian --doctor are the same preflight.

Prebuilt Docker image

Multi-arch images (amd64, arm64 — Raspberry Pi friendly) are published to GitHub Container Registry on every main-branch push:

docker pull ghcr.io/spezzuti/homelab-guardian:latest

Notes for containerized runs:

  • The systemd collector needs the host's systemd; run Guardian directly on the host if you want service monitoring.
  • The Bitwarden secrets provider needs the bws CLI, which is not in the image; in containers, inject secrets as environment variables instead (env_file or bws run -- docker compose ...).

Docker Compose run

Preferred install path on a Docker host:

cp config.example.yaml config.yaml
mkdir -p data reports
docker compose run --rm homelab-guardian

The default Compose file mounts:

  • ./config.yaml:/app/config.yaml:ro
  • ./data:/app/data
  • ./reports:/app/reports
  • /var/run/docker.sock:/var/run/docker.sock:ro

Guardian writes:

  • report: ./reports/latest.md
  • SQLite snapshots: ./data/guardian.sqlite

Inspect the latest report:

sed -n '1,220p' reports/latest.md

Or open reports/latest.md in your editor.

Docker socket warning

Mounting /var/run/docker.sock matters because the Docker collector must ask the Docker daemon for container metadata: status, health, restart count, ports, mounts, volumes, and Compose labels.

The Docker socket is powerful. Even when mounted :ro, the Docker API can expose sensitive host/container metadata, and socket access is often equivalent to broad control of Docker. Guardian only performs read-oriented SDK calls, but the socket itself should still be treated as privileged.

If /var/run/docker.sock is missing:

  • You are probably not on a Docker host, or
  • Guardian is running in a container without the socket mounted, or
  • Docker Desktop / rootless Docker uses a different socket path.

Safest next step:

  1. Run guardian doctor --config config.yaml.
  2. Confirm the host actually runs Docker.
  3. If running in Docker Compose, confirm the socket mount exists.
  4. If you do not want Docker inventory on this machine, disable collectors.docker.enabled.

Safer socket proxy mode

A safer alternative to direct socket mounting is the optional socket proxy Compose file:

docker compose -f docker-compose.socket-proxy.yml run --rm homelab-guardian

This starts docker-socket-proxy and sets:

DOCKER_HOST=tcp://docker-socket-proxy:2375

The proxy exposes only selected read-oriented Docker API areas where possible and keeps write methods disabled. This reduces blast radius compared with mounting the raw socket directly into Guardian. It is still Docker daemon access, so use it intentionally.

Configuration

Start from config.example.yaml. Do not commit config.yaml, .env, API tokens, SSH keys, databases, generated reports, or machine-specific credentials.

Home Assistant access is read-only and uses an environment variable for the token. The example Compose files load local .env values into the container and pass HOMEASSISTANT_TOKEN through to Guardian.

cp .env.example .env
# Edit .env locally. Never commit it.

Deployment modes

Run directly on a Docker host

Install Python and run Guardian on the same host that runs Docker. Enable the Docker collector only if /var/run/docker.sock exists and the user running Guardian can read Docker metadata.

Run via Docker Compose with Docker socket mounted

Run Guardian as a one-shot container with local config.yaml, data, and reports bind mounts. This is the preferred MVP install path for Docker hosts.

Run via Docker Compose with socket proxy

Use docker-compose.socket-proxy.yml to route Docker SDK calls through docker-socket-proxy instead of giving Guardian the raw socket.

Run without Docker

Guardian is still useful without Docker. Leave the Docker collector disabled and use any combination of:

  • DNS checks
  • TCP checks
  • HTTP checks
  • local backup path checks
  • Home Assistant API checks

Future: remote collectors

Future versions may support remote collectors for Docker hosts, NAS systems, Home Assistant, and backup locations. The current MVP is local-only: paths and sockets are evaluated from the machine or container running Guardian.

Current collectors

Docker collector

Disabled by default because Docker socket access is sensitive. When enabled, it reads container metadata and reports:

  • container name
  • image
  • status
  • health status
  • restart count
  • exposed/published ports
  • mounts, bind paths, and named volumes
  • Docker Compose project/service labels

Exited, unhealthy, restarting, or dead containers are surfaced as warnings or critical checks. If Docker is enabled but unavailable, the report shows unknown with the likely cause and safest next step instead of crashing.

Guardian can exclude containers by name pattern. This is useful for ignoring Guardian's own one-shot runtime containers and its socket proxy:

collectors:
  docker:
    exclude_containers:
      - "homelab-guardian*"

Docker Compose container names in this setup normally use hyphens, not underscores, so prefer homelab-guardian* for Guardian runtime exclusions. Excluded containers are skipped from normal container health checks. The Docker inventory summary still reports how many were excluded and which patterns were used.

Home Assistant collector

Disabled by default. When configured with a URL and token environment variable, it performs a read-only GET /api/states request and reports unavailable or unknown entities. It does not call services and does not modify Home Assistant.

Safe setup for local dogfood:

  1. In Home Assistant, create a long-lived access token from your user profile.

  2. Copy .env.example to .env and put the token there:

    HOMEASSISTANT_TOKEN=your-token-here
    
  3. In the ignored local config.yaml, set the Home Assistant URL and enable the collector:

    collectors:
      homeassistant:
        enabled: true
        url: "http://homeassistant.local:8123"
        token_env: "HOMEASSISTANT_TOKEN"
    
  4. Run a report:

    guardian --config config.yaml
    
  5. If running through Docker Compose, use the same ignored .env file and config.yaml:

    docker compose run --rm homelab-guardian
    

Never commit .env, config.yaml, reports, databases, tokens, or machine-specific credentials.

Network collector

Supports:

  • DNS resolution checks
  • TCP port checks
  • HTTP status checks
  • TLS certificate expiry checks (works for self-signed certificates too)

Failures include clear evidence such as hostname, port, expected status, actual status, timeout, and error text.

Backup freshness collector

Checks configured local paths without modifying them. It reports:

  • whether the path exists
  • latest modified file timestamp
  • backup age in hours and days
  • warning if the newest file is older than max_age_days
  • critical if a required path is missing
  • critical if a required directory exists but contains no files
  • unknown if an optional directory exists but contains no files
  • unknown if backup checks are enabled but no paths are configured yet

If backups.enabled is true and paths: [], Guardian reports unknown because the check is not ready to evaluate anything. That means configuration is incomplete, not that a backup failed. Add backup paths when ready, or set backups.enabled: false until backup monitoring is part of your rollout.

Backup paths are local to the machine or container running Guardian. If Guardian runs in Docker, mount backup locations read-only into the container first.

When the configured path is a file, Guardian uses that file's modified time. When the configured path is a directory, Guardian recursively scans files inside the directory and uses the newest file modified time. Directory modified times are ignored because they can change for reasons that do not prove a backup file is fresh.

Safe backup freshness dogfood

Use a dummy local folder before pointing Guardian at real backup destinations. Do not test against production backup paths until the dummy procedure behaves as expected.

mkdir -p /tmp/homelab-guardian-backup-dogfood
printf 'dummy backup marker\n' > /tmp/homelab-guardian-backup-dogfood/backup-marker.txt
cp config.example.yaml config.yaml

In the ignored local config.yaml, set only the dummy path:

collectors:
  backups:
    enabled: true
    paths:
      - id: dummy_backup_dogfood
        name: Dummy backup dogfood path
        path: /tmp/homelab-guardian-backup-dogfood
        max_age_days: 1
        required: true

Then run:

guardian --config config.yaml

Expected result: the dummy backup check reports ok while the marker file is fresh. To test stale behavior safely, change max_age_days to 0 or adjust only files inside /tmp/homelab-guardian-backup-dogfood. Never commit config.yaml, generated reports, database files, or the dummy runtime folder.

Disk space and mounts collectors

The disks collector reads usage on configured mounts (or the drive Guardian runs on when no paths are set) with warning/critical percent thresholds — disk-full is the most common silent homelab failure. The mounts collector verifies configured NAS/NFS/CIFS mountpoints are actually mounted: a dropped share is silent, because the mountpoint directory still exists and a disk check stays green. Read-only via os.path.ismount; it pairs with the remount repair.

systemd collector

Sweeps the system (and optionally user) service manager for failed units and units stuck in a restart loop — the activating/auto-restart state that never reaches "failed" and hides exactly the breakage that matters. Specific units can be watched individually with state and restart-count evidence. Run Guardian directly on the host (a container cannot see the host's systemd).

Host-hardening collectors

Read-only posture checks for the Linux host Guardian runs on. None need root and all are off by default:

  • firewall — is a host firewall active and defaulting to deny inbound?
  • exposed_services — names services listening on a non-loopback address, flagging sensitive ones (SMB, VNC, databases, ...). Reads ss only.
  • ssh — reads the effective sshd config and warns on password authentication or direct root login.
  • updates — pending updates, pending security updates, and whether a reboot is required (apt-based hosts for now).
  • backup_health — watches the backup job, not just a directory: restic snapshot age, or a systemd backup unit's last run. Distinct from the backups freshness collector above, which watches a path.

guardian init offers to enable the four zero-config ones when it detects it's running on the host you want to watch.

Web view

guardian serve                          # http://localhost:8674
guardian serve --interval 900           # appliance mode: scan + serve in one process
guardian serve --host 0.0.0.0           # expose on your LAN (explicit choice)

A read-only page rendered from local scan history: overall status, the AI briefing when enabled, what changed, every check with its evidence, and recent scan history with per-scan drill-down. Problem groups roll up first and auto-open; healthy groups collapse — calm by default, deep on demand. No web framework, no JavaScript on the health view; binds to localhost unless you say otherwise. /healthz returns plain ok so other monitors can watch Guardian itself.

Two opt-in, authenticated control surfaces exist when enabled: a /settings page to toggle collectors (comment-preserving writes to config.yaml) and a /repairs page to approve/deny repair proposals. Both sit behind auth + CSRF. Add authentication before exposing the dashboard — web.auth.mode supports basic, forward_auth, and oidc. See docs/auth.md.

Recurring scans

Guardian runs once by default. For continuous monitoring, pass --interval:

guardian --config config.yaml --interval 900

This repeats the scan every 900 seconds. A failed scan is logged and the loop continues. Each scan is compared against the previous snapshot, so the report and any notifications highlight what changed.

For a host install, deploy/homelab-guardian.service is a ready-to-edit systemd user service. For Docker Compose, run the service with --interval and restart: unless-stopped instead of one-shot docker compose run.

Secrets providers

Every credential Guardian uses (Home Assistant token, Telegram bot token, AI API key) is referenced by name in config.yaml and resolved through a secrets provider. Tokens never live in the config file.

  • provider: env (default) — names are environment variables, typically from a local .env file. No extra tooling required.
  • provider: bitwarden — names are secret keys in Bitwarden Secrets Manager, fetched through the bws CLI with a single machine-account access token (BWS_ACCESS_TOKEN in the environment). One token instead of a pile of .env entries, secrets stay centrally managed and rotatable, and environment variables still override when set. If the provider is unavailable, Guardian warns once and degrades to environment-only — a secrets backend outage never breaks a scan.
secrets:
  provider: bitwarden
  bitwarden:
    access_token_env: "BWS_ACCESS_TOKEN"
    project_id: "" # optional: restrict to one project

guardian doctor verifies the provider end-to-end and reports how many secrets are readable. The provider interface is intentionally small, so additional backends (Vault, 1Password, Infisical) can be added without touching collectors.

Alternative: bws run -- guardian --config config.yaml injects all secrets as process environment variables without any Guardian configuration.

AI briefing — bring your own model

Optional and disabled by default. When ai.enabled is true, Guardian sends only the structured check results and the what-changed diff to a single OpenAI-compatible chat completions endpoint and places the returned plain-English briefing at the top of the report.

  • Works with OpenRouter, a local Ollama/LM Studio endpoint, or any other OpenAI-compatible server — your model, your key, your choice.
  • The model receives structured JSON only. It has no shell, no tools, and no access to your systems, and the prompt forbids suggesting state-changing commands.
  • Guardian remains fully functional with this disabled; a failed model call never fails the scan.
ai:
  enabled: true
  base_url: "http://localhost:11434/v1" # local Ollama example
  model: "qwen3:14b"
  api_key_env: "GUARDIAN_AI_API_KEY" # leave the env var unset for keyless local endpoints

Note: each config file should point at its own database_path. Scan diffing compares against the previous snapshot in that database, so two configs sharing one database will see each other's checks as added/removed noise.

Attach an AI agent (MCP + agent-mode)

Guardian's collectors and the status/summary/evidence/recommended_action contract are the moat; you can hand that view to any model.

  • guardian mcp serves Guardian over the Model Context Protocol so an agent (Claude, a local agent, ...) reads your verified homelab state instead of re-deriving it. Read-only by default; optional gated write tools. See docs/mcp.md.
  • Agent-delivery mode (notifications.mode: agent) makes Guardian feed each confirmed change to the agent's webhook so the agent is the single voice, with a deterministic Telegram fallback for criticals if the agent is unreachable.

The division of labor: Guardian is the deterministic source of truth and the "reflex" actuator; the agent narrates, reasons, and handles the deep, judgment- heavy fixes Guardian deliberately won't.

Approval-gated repair

Optional, off by default (repair.enabled). Guardian can propose a fix for a detected problem and, after a human approves it, execute it and verify recovery — closing the detect → diagnose → propose → approve → repair → verify loop. The whole point is to do this safely:

  • Never raw shell. Only named, whitelisted, parameterized actions, built as argv lists. Targets come from validated check evidence or admin allowlists.
  • The agent is never the authority. It can propose and execute, but approval is human-only (CLI guardian repair approve, or the dashboard /repairs page). Destructive actions can never auto-approve.
  • Built-ins: restart a watched systemd unit or container; reclaim disk (docker_prune / journal_vacuum / apt_clean / prune_dir, with read-only previews and a backup interlock). Everything is audited and loop-guarded.

Design and threat model: docs/repair.md and docs/repair-reclaim.md.

From monitoring to self-healing

A four-step path from a read-only doctor to a careful self-healer. Each step is opt-in and stands on its own — stop at any rung you're comfortable with. For the full step-by-step version with explanations, see docs/getting-started.md.

1. Monitor — enable a few collectors

Start with the read-only collectors that fit your setup. Everything here only reads; nothing is changed on any host.

# config.yaml — a focused starting set
collectors:
  disks:
    enabled: true       # disk-full is the #1 silent homelab failure
    paths: []           # empty = the drive Guardian runs on
  systemd:
    enabled: true       # failed units AND restart loops
    units:
      - unit: my-backup.service
  network:
    enabled: true
    http_checks:
      - { id: http_ha, name: Home Assistant, url: "http://homeassistant.local:8123", expected_status: [200, 301, 302, 401] }
guardian doctor    # confirm the config is valid and targets are reachable
guardian           # scan -> reports/latest.md

2. See it — the dashboard

guardian serve                 # http://localhost:8674 (localhost only)
guardian serve --interval 900  # appliance mode: scan every 15 min + serve

The page is read-only and leads with overall status, what changed, and every check with its evidence. Bind it to localhost (default) until you've added auth (web.auth.mode, see docs/auth.md); use --host 0.0.0.0 only as an explicit choice once it's protected.

3. Attach an agent over MCP

Hand your verified state to an AI agent so it reasons over real checks instead of re-deriving them. Read-only by default — the agent can read, not change.

pip install 'homelab-guardian[mcp]'
guardian mcp --config /path/to/config.yaml   # stdio; the agent launches this

Point a client at the stdio command (Claude Desktop / Claude Code example):

{
  "mcpServers": {
    "homelab-guardian": {
      "command": "guardian",
      "args": ["mcp", "--config", "/path/to/config.yaml"]
    }
  }
}

Now ask the agent "is my homelab healthy?" and it answers from Guardian's checks. For a remote agent, guardian mcp --http serves the same over a bearer-token-gated HTTP transport. Depth, the full tool surface, and agent-delivery notifications: docs/mcp.md.

4. Turn on a gated repair for one safe unit

Pick the single safest repair you have — restarting one watched systemd unit — and gate it behind human approval. Guardian will only ever restart units you explicitly allowlist, and only after you approve each proposal.

repair:
  enabled: true                 # master switch
  require_approval: true        # human approves every proposal (default)
  playbooks:
    restart_systemd_unit:
      enabled: true
      allowed_units: [my-backup.service]   # explicit allowlist; empty = nothing
      auto_approve: false
      max_attempts_per_hour: 3
guardian doctor    # self-validates the repair config (allowlists, sudo scope)

# when my-backup.service is failing:
guardian repair list my-backup.service            # what repairs apply?
guardian repair propose my-backup.service restart_systemd_unit
guardian repair approve <proposal_id>             # the human-only gate
guardian repair execute <proposal_id>             # runs, then verifies recovery

propose is a dry run: it shows the exact argv, blast radius, and verify step and changes nothing. The agent (over MCP) can propose and execute, but never approve — approval lives only in Guardian's CLI/dashboard. System units need a scoped sudoers grant for that exact argv; prefer systemctl --user units, which need none. Full safety model: docs/repair.md.

5 (optional). Self-healing — auto-approve a vetted action

Once you trust a non-destructive repair on a specific unit, you can let Guardian act on its own. Setting auto_approve: true makes that one action a deterministic reflex: on a confirmed (flap-damped) critical, Guardian proposes, executes, and verifies with no human in the loop — still loop-guarded and audited, and the agent is told what was auto-handled so it narrates the fix instead of re-alarming.

repair:
  enabled: true
  playbooks:
    restart_systemd_unit:
      enabled: true
      allowed_units: [my-backup.service]
      auto_approve: true        # self-heal this one allowlisted unit
      max_attempts_per_hour: 3

Destructive actions (anything that deletes — docker_prune, prune_dir) ignore auto_approve entirely and always require a human, by construction. Start narrow: one idempotent action, one unit, with the loop guard on.

Telegram notifications

Optional and disabled by default. Configure under notifications.telegram in config.yaml with a bot token and chat id provided through environment variables (see config.example.yaml). send_on: changes is the recommended mode: you only get a message when something actually changed since the last scan. In notifications.mode: agent, Telegram is dormant and used only as the critical-fallback when an attached agent is the primary voice.

Flap damping

One wifi blip should not page you. With notifications.telegram.confirm_scans: 2, a status change must hold for two consecutive scans before Guardian announces it — in both directions, so recoveries are confirmed too. A check that flaps up and down never triggers a message. The report and web view always show the live state; damping only gates notifications.

Acknowledging known issues

Chronic problems train you to ignore alerts. Acknowledge a check to mute it without losing sight of it:

guardian ack ha_unavailable_entities --note "MQTT bridge down, part ordered" --days 14
guardian ack          # list current acknowledgments
guardian unack ha_unavailable_entities

An acknowledged check keeps its real status but is excluded from the overall status, change detection, and notifications. It appears in a collapsed "Acknowledged" section of the report and web view, with your note, so it stays visible without drowning the signal. Acknowledgments can expire automatically (--days, --until); check ids are shown in reports and in the web view's evidence blocks.

Report layout

The Markdown report includes:

  • overall status
  • summary counts
  • what changed since the previous scan (regressions, improvements, new and removed checks)
  • critical issues first
  • warnings second
  • unknowns third
  • OK checks last, collapsed to names when there are many
  • recommended actions and JSON evidence for each non-collapsed check

Safety notes

Homelab Guardian's safety boundary has four parts:

  • Collectors are read-only. Detection never modifies services, containers, DNS, Home Assistant entities, backup contents, systemd units, certificates, disks, or remote hosts.
  • Local runtime state is writable. Guardian writes reports, SQLite scan snapshots, acknowledgments, alert state, and optional retention pruning under the configured report/database paths.
  • Outbound integrations are opt-in. Telegram notifications and AI briefings send structured status data only when explicitly enabled.
  • Repair is opt-in and human-gated. With repair.enabled (off by default), Guardian may propose a whitelisted, parameterized fix and execute it only after a human approves the specific proposal — never raw shell, never an AI-generated command, always followed by a verify and an audit record. Destructive actions can never auto-approve. See Approval-gated repair and docs/repair.md.

Recommended actions in reports are diagnostic next steps for the operator; nothing executes automatically without the approval flow above.

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