Sample bridge: hello-python
UnreviewedMinimal third-party Adom Desktop bridge in ~80 lines of Python stdlib. Fork this as a starting point for your own bridge.
Sample bridge: hello-python
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
bridge.jsondeclaresverbPrefixes: ["hellopy_"]- Adom Desktop's registry records that
hellopy_*belongs to this bridge - When you type
adom-desktop hellopy_ping, the Tauri runtime:- Spawns
python server.py --port <ephemeral>if not already running - Polls
/statusuntil ready - POSTs
{"command":"hellopy_ping","args":{}}to/command - Streams the JSON response back through the CLI
- Spawns
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+Sthen 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
- Adom Desktop bridge SDK guide —
bridge.jsonschema, packaging, lifecycle hello-rust— Rust port of this same surface- Bridges registry — community-maintained list of installable bridges
- Reference bridges: KiCad, Fusion 360, Puppeteer — full-complexity production examples