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Adom Desktop - Hello Sample Bridge (Python)

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Minimal third-party Adom Desktop bridge in ~80 lines of Python stdlib. Fork this as a starting point for your own bridge.

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adom-desktop-hello-python-bridge / README.md
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Adom Desktop - Hello Sample Bridge (Python)

How the hello-python bridge works

hello-python verbs Claude can call

What you can ask Claude to do

What this is

hello-python is a minimal third-party bridge for Adom Desktop, written in ~80 lines of Python stdlib. It exists so you can install one command, run two verbs, and have a complete mental model of what writing a bridge actually involves — before you commit to integrating your real tool (Altium, MATLAB, an oscilloscope, an inventory system, whatever).

Pair it with its twin hello-rust (same surface, different language) for a side-by-side comparison of the two implementation flavors Adom Desktop supports: kind: "python" (interpreted) vs. kind: "exe" (native single-binary).

If you're getting started, also read the bridge SDK guide for the bridge.json schema and packaging conventions.

Try it in 30 seconds

# 1. Install from the wiki (anonymous, no GitHub account needed)
adom-desktop bridge_install '{"manifestUrl":"https://wiki-ufypy5dpx93o.adom.cloud/static/apps/adom-desktop/hello-python-bridge-manifest.json"}'

# 2. Ping it (auto-spawns the bridge process)
adom-desktop hellopy_ping
# → {"success":true,"output":"Hello from the Python sample bridge v1.2.0!","language":"python",...}

# 3. Echo something back
adom-desktop hellopy_echo '{"message":"world"}'
# → {"success":true,"output":"echo (python): world","echoed":"world","language":"python"}

# 4. Confirm it's registered
adom-desktop bridge_list   # look for "hello-python" with verbs hellopy_*

# 5. Uninstall when done
adom-desktop bridge_uninstall '{"name":"hello-python"}'

The bridge process auto-spawns on the first hellopy_* call, listens on an OS-assigned ephemeral port (v1.8.31+ dynamic port allocation — no collision with any other bridge), and is killed cleanly on bridge_uninstall or app shutdown.

What's in the box

hello-python/
├── bridge.json         ← manifest (verb prefixes, spawn config, platforms)
├── BRIDGE_VERSION      ← semver, kept in sync with bridge.json
├── server.py           ← ~80 lines, http.server.BaseHTTPRequestHandler
└── README.md           ← lifecycle notes

That's the entire bridge. No external pip dependencies — just the Python stdlib.

The two endpoints every bridge exposes

Endpoint When What it returns
GET /status Adom Desktop polls this after spawn to confirm the bridge is alive {"ok": true, "bridge": "hello-python", "version": "...", "uptimeSec": N}
POST /command Every CLI verb call routes through here {"success": bool, "output": ..., "error": ...} (response shape is conventional, not enforced)

How verb routing works

  1. bridge.json declares verbPrefixes: ["hellopy_"]
  2. Adom Desktop's registry records that hellopy_* belongs to this bridge
  3. When you type adom-desktop hellopy_ping, the Tauri runtime:
    • Spawns python server.py --port <ephemeral> if not already running
    • Polls /status until ready
    • POSTs {"command":"hellopy_ping","args":{}} to /command
    • Streams the JSON response back through the CLI

The two verbs

Verb Args Returns
hellopy_ping (none) {success, output, bridge, language: "python", version, uptimeSec, _hint}
hellopy_echo {"message": "<str>"} {success, output, echoed, language: "python"}

Try adom-desktop status hellopy_ping to see the AI-friendly help-map entry that drives Docker Claude usage.

Forking for your own bridge

The fastest way to get to a real bridge:

# 1. Get the source (anonymous — no GitHub account needed)
curl -O https://wiki-ufypy5dpx93o.adom.cloud/static/apps/adom-desktop/hello-python-bridge.zip
unzip hello-python-bridge.zip && cd hello-python

# 2. Rename the bridge end-to-end
#    - bridge.json: change "name", "displayName", "verbPrefixes", "verbs"
#    - server.py:   change __version__, rename the if/elif command branches
#    - BRIDGE_VERSION: reset to 0.1.0

# 3. Replace the verb implementations with calls into your tool's SDK
#    (Altium COM, MATLAB Engine, instrument SCPI, your REST API, etc.)

# 4. Test locally without packaging:
python server.py --port 8890   # in one terminal
adom-desktop bridge_install '{"manifestUrl":"file:///abs/path/to/your/bridge.json"}'

# 5. Package + ship — see the SDK guide

The full source tree (with the dynamic-port v1.8.31 wiring intact) is at scripts/sample-bridges/hello-python/ in the Adom Desktop repo, mirroring what bridge_install extracts to your cache dir.

When Python is the right choice

Pick hello-python (vs. the Rust flavor) when:

  • Your tool has Python bindings. KiCad, Fusion 360, OpenCV, NumPy ecosystem — Python is the natural shim.
  • I/O-bound work. REST calls, file walks, slow vendor SDKs — Python's overhead is invisible.
  • Fast iteration. No compile step. Ctrl+S then re-run.
  • End users already have Python. Engineers running Adom Desktop on a workstation typically have it.

Pick hello-rust when you need a single static binary, no runtime install, type safety, or CPU-bound performance.

License

MIT. Fork freely, sell what you build on top.

See also