Godstrument: a multi-modal sensor-fusion instrument

Everything — your hand, the room, a satellite, the markets, the sky — becomes an
OSC control signal fused through a modulation matrix. Includes:
- hub + normalize (One-Euro) + matrix (curves/gates/quantize) + transform (tweaks/groups)
- 20+ workers: sim sensors, 8 keyless world feeds, ephemeris/almanac/clock (computed),
  time-warp replay (quakes/weather/db), and the dealgod market warehouse feed
- planetary orbital LFOs, SQLite recorder, city targeting
- live browser console: mute, group macros, drag-to-patch, inspector, Web MIDI

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
monsterrobotparty 2026-07-05 02:13:05 +10:00
commit 8deb65b4fe
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{
"version": "0.0.1",
"configurations": [
{
"name": "godstrument",
"runtimeExecutable": "/Users/m3ultra/Documents/godstrument/.venv/bin/python",
"runtimeArgs": ["run.py", "--no-browser", "--profile", "warp", "--city", "melbourne", "--dealgod"],
"port": 8088
}
]
}

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# python
.venv/
__pycache__/
*.pyc
# local recordings / db (regenerable)
godstrument.db
godstrument.db-wal
godstrument.db-shm
# os
.DS_Store

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# 🌍 GODSTRUMENT
> An instrument where your hand, the room, and the planet are the same kind of thing.
Godstrument is a **multi-modal sensor-fusion instrument**. Every input — a hand
sensor, the room's microphone, a satellite, the price of bitcoin, an earthquake
on the other side of the Earth — is turned into a clean control signal and fired
at a central hub. The hub normalizes and smooths everything, runs it through a
**modulation matrix**, and pours the result out as MIDI/OSC for Ableton or
TouchDesigner, plus a live **web visualizer** so you can watch the planet play.
Nothing here needs the physical sensors to run. The world-data feeds and a
sensor **simulator** give you a fully playable instrument *today*; the ESP32 +
ToF + light hardware slot into the exact same OSC contract when they arrive.
---
## The architecture (everything is an OSC source)
```
hand / room / sky / markets / humanity outputs
───────────────────────────────────── ───────────
sim_esp32 ─┐ ┌─► OSC /out/* → Ableton / TouchDesigner
world_* ─┤ │
audio ─┼─► OSC 9000 ─► HUB ─► mod-matrix ─────┼─► MIDI CC / notes (optional, via IAC)
vision ─┤ normalize + One-Euro │
midi ─┘ + impulse envelopes └─► WebSocket 8765 → 🖥 visualizer (http 8088)
```
- **`normalize.py`** — One Euro filter (jitter-free, low-lag), adaptive
normalization (auto-scales unknown/drifting ranges to 0..1), impulse envelopes
(events → decaying signals), slew.
- **`matrix.py`** — the patchbay: N sources × M destinations, each cable with an
amount, response curve, polarity, optional **threshold gate** and
**quantize-to-scale** (so a data stream picks notes in a key instead of
wobbling formlessly).
- **`hub.py`** — receives all OSC, runs the control-rate clock, evaluates the
matrix, drives the outputs + websocket.
- **`config.json`** — the current patch: which source routes to which
destination. **This is where you compose.**
- **`workers/`** — one process per source, each just emits OSC.
- **`viz/index.html`** — the live console.
## The starter patch
The sun opens the master filter · bitcoin volatility drives the hats and plays
the lead melody in a minor pentatonic · Delhi's air becomes distortion grit ·
every Wikipedia edit on Earth is a glitch burst · earthquakes open the reverb
void and choose the bass note · Tokyo's weather brightens the pads · aircraft
aloft thicken the drone · your (simulated) hand morphs the wavetable and feeds
the delay. Edit `config.json` to rewire any of it.
## Run it
```bash
python3 -m venv .venv
./.venv/bin/pip install python-osc websockets
./.venv/bin/python run.py
```
Then open **http://localhost:8088**. That's it — real planetary data starts
flowing in seconds.
Profiles: `--profile core` (default: simulator + all world feeds),
`--profile world` (data only), `--profile all` (adds mic/webcam/MIDI workers if
their optional libs are installed), `--profile minimal` (just the simulator).
## Live data sources (all free, all keyless)
| Source | Feed | Character |
|---|---|---|
| Earthquakes | USGS all-hour GeoJSON | event triggers |
| Weather | Open-Meteo | slow / mood |
| Air quality | Open-Meteo air-quality | slow / grit |
| Solar wind | NOAA SWPC | slow LFO |
| ISS position | open-notify | drift |
| Crypto ticks | Binance websocket | sub-second chaos / rhythm |
| Aircraft | OpenSky | swarm / drone |
| Wikipedia edits | Wikimedia SSE stream | human pulse / glitch |
| Local sky | computed (NOAA solar position) | day/night LFO, per-venue |
| Humanity | modelled vital rates | births/deaths/growth velocity |
## Playing it live — the performance layer
Raw data is honest but mechanical. The **tweak layer** (`transform.py`) lets you
*play* it: `gain`, `offset` (bend/lean), `invert`, `freeze` (a CDJ-style hold —
"stop the planet here"), and `smooth` (make a signal liquid or snap it tight).
**Groups** let one control lean on many sources at once. The starter patch
defines three — `planet` (local world), `cosmos` (shared sky), `human` — and
binds live controls to them in `config.json`:
```json
"controls": [
{"src": "hand.open", "target": "@planet", "param": "gain", "min": 0.2, "max": 1.4},
{"src": "midi.cc.1", "target": "@cosmos", "param": "offset", "min": -0.3, "max": 0.3},
{"src": "midi.cc.20","target": "@planet", "param": "freeze", "min": 0.0, "max": 1.0}
]
```
`src` is any signal — a hardware knob (`midi.cc.1`, via the MIDI worker), a hand
sensor (`hand.open`, `tof.near`), or another data stream. So a physical knob, or
your open palm, becomes a macro over four data sources at once.
## Time-warp — scratch a month of the planet
`run.py --profile warp` swaps the live quake + weather feeds for **replay**
workers (`timewarp.py`): they fetch history and play it back *compressed* on a
loop — 26 days of global earthquakes into 5 minutes, a week of weather into 4 —
so glacial data finally has agency in a track.
Because a replay has a **playhead**, you can *scrub* it. The `warp` section in
`config.json` binds a control to each loop's jog:
```json
"warp": {
"quakes": {"port": 9101, "rate_src": "tof.cx", "nudge_src": "tof.near"}
}
```
So your hand (or a knob) sets the warp speed and shoves the playhead forward/back
like a CDJ platter. A month of the Earth's seismicity becomes a loopable,
scratchable rhythm.
## Memory — record everything, replay anything
`run.py --record` runs `recorder.py` alongside the live rig, taps the hub, and
writes every signal + event to `godstrument.db` (SQLite — live and historical in
one file). Then `replay_db.py` can time-warp **any** recorded signal — not just
feeds with a public history API, but your own hand, the room mic, the ToF sensor:
```bash
python workers/replay_db.py --signals tof.cx,tof.cy,audio.rms --window last:3d --into 240
```
Footprint is small (change-based logging + a decimation cap). Measured:
**~68 bytes/sample**, so **world data ≈ 80 MB/day** (most of it the Wikipedia
firehose — throttle it and it's ~15 MB/day); fast local sensors at 20 Hz are the
main cost. A **35 day rolling buffer is a few hundred MB** — trivial, fine on a
Pi's SD card. Prune with `DELETE FROM samples WHERE t < <cutoff>` + `VACUUM`.
`recorder.py --stats` prints size / signals / span.
## Your own market — the dealgod feed
`run.py --dealgod` runs `workers/world_dealgod.py`, which reads price history from
the **basegod warehouse** (`dealgod.price_events`, ~4M rows) over the tailnet —
read-only, a single server-side aggregate query, **no writes** — bins it into an
*activity* curve and an *average-price* curve, and replays them compressed +
jog-scrubbable. Your deal-flow becomes a control source: market activity drives
the hats and nudges tempo; average price adds grit and **plays the lead melody**
(G dorian). Flags: `--ssh`, `--days`, `--into`. Point `--ssh` at a `dashboard_ro`
host for strict least-privilege networked access.
## The heavens — real ephemeris, no downloads
`world_ephemeris.py` computes actual planetary positions with the Swiss Ephemeris
(Moshier mode — **no data files**, 3000 BC3000 AD). Nothing is stored or fetched;
the sky is generated on demand, like the sun worker. It emits **moon phase**,
**zodiac longitudes** (natural LFOs from monthly to Saturn's 29-year wheel),
**aspect tension/harmony**, and **retrograde flags**. In the starter patch the
moon sets the master space, Mercury retrograde smears the delay, hard aspects add
grit, Saturn weights the drone. Ephemeris is *computed, not ingested* — the
opposite of big data (`pip install pyswisseph`, zero downloads).
## The console is playable
The visualizer isn't just a display — it's a control surface. **Click any source
sphere to mute / unmute it** (it gets a red slash). The **⚙ button, top-right**,
opens a panel with per-group **mute / freeze / gain** macros (planet, cosmos,
humanity, market, sky). Commands travel back to the hub over the same websocket,
so it stays in sync. Deep patch editing — routes, curves, ranges — still lives in
`config.json`.
**Web MIDI** (Chrome/Edge): the ⚙ panel has a WEB MIDI section — `enable MIDI`,
pick an **out** port and the destinations stream as CC/notes straight to your DAW
(no Python/IAC needed), pick an **in** port and hit **MIDI learn** to bind a knob
to any control (click a slider / mute / sphere, then move the knob; saved to
`localStorage`). Web MIDI needs a secure context: `localhost` works as-is; a
VPS-hosted console needs HTTPS (e.g. `tailscale serve`). The browser runs the
MIDI, so a remote-hosted page still drives the MIDI on *your* laptop.
## The planting almanac
`world_almanac.py` computes the old sow-by-the-moon calendar from the same sky —
no data, no downloads. The zodiac's four elements cycle fire→earth→air→water, and
biodynamic tradition maps them to crop types, so the Moon walks a slow four-step
sequencer (changing every ~2.25 days): **earth=root, water=leaf, air=flower,
fire=fruit/seed**. It also emits waxing/waning (sow above vs below ground), the
Moon's ascending/descending declination cycle (~27.3d), and a fertility score.
The instrument's character can follow the moon through the garden.
## Planetary orbits
Any group can be assigned a planet (`"orbit": "neptune"` in `config.json`); its
whole contribution then **waxes and wanes at that planet's real relative orbital
rate**. With `orbit_base_seconds` mapping one Earth year, Mercury (your market)
pulses every ~14s, Mars (humanity) every ~113s, Saturn (cosmos) every ~29min,
Neptune (the sky) every ~2.7h. Group your sources by planet and the solar system
becomes a bank of LFOs spanning seconds to a lifetime.
## Wiring it on stage — the editing console
The console is fully live-editable, no config file needed:
- **Drag a source sphere onto a destination** to patch a new cable.
- **Shift-click** any node for its **inspector** — what it is, every cable in/out,
an amount slider and an unpatch × per connection.
- **⌘/Ctrl-click** spheres to multi-select, then **group** them into a new macro.
- Mutes, group macros, and Web MIDI live in the ⚙ panel.
It all travels to the hub over the websocket (`add_route` / `remove_route` /
`set_route` / `make_group`), which rewires the modulation matrix in real time.
## Sending it to Ableton / TouchDesigner
- **OSC:** the hub streams `/out/<destination>` floats to `127.0.0.1:9001`.
Point TouchDesigner's OSC In, or a Max-for-Live OSC device, at that port.
- **MIDI:** set `"midi": {"enabled": true}` in `config.json`, create an **IAC
bus** in *Audio MIDI Setup → MIDI Studio*, `pip install python-rtmidi`, and the
hub sends CC + notes to it. Map the CCs in Ableton with MIDI-learn.
## Adding real hardware later
The ESP32 firmware just has to send the same OSC addresses the simulator does
(`/gs/tof/cx`, `/gs/tof/cy`, `/gs/tof/near`, `/gs/light/lux`,
`/gs/light/flash/event`) to your Mac's IP on port 9000. Kill `sim_esp32.py`,
power on the board, nothing else changes.

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{
"_comment": "Touring atlas. lat/lon feed weather+air+sky; bbox [s,w,n,e] feeds the aircraft swarm over the venue. Add your own.",
"brisbane": {"label": "Brisbane", "lat": -27.47, "lon": 153.02, "bbox": [-28.2, 152.1, -26.7, 153.9]},
"melbourne": {"label": "Melbourne", "lat": -37.81, "lon": 144.96, "bbox": [-38.5, 144.0, -37.1, 145.9]},
"sydney": {"label": "Sydney", "lat": -33.87, "lon": 151.21, "bbox": [-34.6, 150.3, -33.1, 152.1]},
"perth": {"label": "Perth", "lat": -31.95, "lon": 115.86, "bbox": [-32.7, 115.0, -31.2, 116.7]},
"adelaide": {"label": "Adelaide", "lat": -34.93, "lon": 138.60, "bbox": [-35.6, 137.7, -34.2, 139.5]},
"auckland": {"label": "Auckland", "lat": -36.85, "lon": 174.76, "bbox": [-37.5, 173.9, -36.1, 175.6]},
"london": {"label": "London", "lat": 51.51, "lon": -0.13, "bbox": [50.8, -1.1, 52.2, 0.8]},
"berlin": {"label": "Berlin", "lat": 52.52, "lon": 13.40, "bbox": [51.8, 12.4, 53.2, 14.4]},
"amsterdam": {"label": "Amsterdam", "lat": 52.37, "lon": 4.90, "bbox": [51.7, 3.9, 53.1, 5.9]},
"berlin_tresor":{"label": "Berlin (Tresor)","lat": 52.51,"lon": 13.42, "bbox": [51.8, 12.4, 53.2, 14.4]},
"paris": {"label": "Paris", "lat": 48.86, "lon": 2.35, "bbox": [48.1, 1.4, 49.6, 3.3]},
"reykjavik": {"label": "Reykjavik", "lat": 64.15, "lon": -21.94, "bbox": [63.4, -23.0, 64.9, -20.8]},
"newyork": {"label": "New York", "lat": 40.71, "lon": -74.01, "bbox": [40.0, -74.9, 41.4, -73.1]},
"losangeles": {"label": "Los Angeles", "lat": 34.05, "lon": -118.24,"bbox": [33.3, -119.2, 34.8, -117.3]},
"detroit": {"label": "Detroit", "lat": 42.33, "lon": -83.05, "bbox": [41.6, -84.0, 43.1, -82.1]},
"mexicocity": {"label": "Mexico City", "lat": 19.43, "lon": -99.13, "bbox": [18.7, -100.1, 20.2, -98.2]},
"saopaulo": {"label": "Sao Paulo", "lat": -23.55, "lon": -46.63, "bbox": [-24.3, -47.6, -22.8, -45.7]},
"tokyo": {"label": "Tokyo", "lat": 35.68, "lon": 139.69, "bbox": [35.0, 138.8, 36.4, 140.6]},
"delhi": {"label": "Delhi", "lat": 28.61, "lon": 77.20, "bbox": [27.9, 76.3, 29.3, 78.1]},
"mumbai": {"label": "Mumbai", "lat": 19.08, "lon": 72.88, "bbox": [18.3, 71.9, 19.8, 73.8]},
"lagos": {"label": "Lagos", "lat": 6.52, "lon": 3.38, "bbox": [5.8, 2.4, 7.2, 4.3]},
"nairobi": {"label": "Nairobi", "lat": -1.29, "lon": 36.82, "bbox": [-2.0, 35.9, -0.6, 37.8]}
}

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{
"control_rate_hz": 60,
"osc_in_host": "127.0.0.1", "osc_in_port": 9000,
"osc_out_host": "127.0.0.1", "osc_out_port": 9001,
"ws_port": 8765,
"http_port": 8088,
"orbit_base_seconds": 60,
"midi": {
"enabled": false,
"port_name": "IAC",
"map": {
"filter.cutoff": {"cc": 74},
"reverb.size": {"cc": 91},
"delay.feedback": {"cc": 93},
"saturation": {"cc": 75},
"granular.density": {"cc": 76},
"perc.density": {"cc": 77},
"tempo.nudge": {"cc": 78},
"drone.voices": {"cc": 79},
"pad.brightness": {"cc": 71},
"wavetable.morph": {"cc": 70},
"lfo.rate": {"cc": 72},
"glitch": {"cc": 73},
"master.space": {"cc": 94},
"lead.note": {"note": true, "channel": 0},
"bass.note": {"note": true, "channel": 1}
}
},
"groups": {
"planet": {"label": "the local world", "orbit": "earth", "members": ["weather.temp", "weather.wind", "weather.pressure", "air.pm25", "sky.day", "sky.elev"]},
"cosmos": {"label": "the shared sky", "orbit": "saturn", "members": ["sun.speed", "iss.vel", "planes.count", "crypto.vel"]},
"human": {"label": "humanity", "orbit": "mars", "members": ["wiki.rate", "clock.popvel", "clock.births"]},
"market": {"label": "your market", "orbit": "mercury", "members": ["crypto.vel", "market.velocity", "market.turnover"]},
"heavens": {"label": "the sky", "orbit": "neptune", "members": ["astro.moon", "astro.tension", "astro.harmony", "astro.saturn", "astro.mars"]}
},
"tweaks": {
"@planet": {"gain": 1.0, "offset": 0.0},
"@cosmos": {"gain": 1.0, "offset": 0.0},
"crypto.vel": {"smooth": 0.08}
},
"controls": [
{"src": "hand.open", "target": "@planet", "param": "gain", "min": 0.2, "max": 1.4, "label": "open palm swells the local world"},
{"src": "tof.near", "target": "@cosmos", "param": "gain", "min": 0.3, "max": 1.4, "label": "hand proximity leans on the cosmic layer"},
{"src": "tof.cx", "target": "@planet", "param": "offset", "min": -0.2, "max": 0.2, "label": "hand X bends the local bias"},
{"src": "midi.cc.1", "target": "@cosmos", "param": "offset", "min": -0.3, "max": 0.3, "label": "knob 1 bends the sky"},
{"src": "midi.cc.2", "target": "crypto.vel","param": "smooth", "min": 0.0, "max": 1.0, "label": "knob 2 liquifies the market"},
{"src": "midi.cc.20","target": "@planet", "param": "freeze", "min": 0.0, "max": 1.0, "label": "pad 20 freezes the planet in place"}
],
"warp": {
"quakes": {"port": 9101, "rate_src": "tof.cx", "nudge_src": "tof.near", "label": "hand X sets warp speed, proximity scratches the quake loop"},
"weather": {"port": 9102, "rate_src": "midi.cc.5", "nudge_src": "midi.cc.6", "label": "knobs 5/6 scrub the weather sweep"},
"dealgod": {"port": 9104, "rate_src": "midi.cc.7", "nudge_src": "midi.cc.8", "label": "knobs 7/8 scrub your market history"}
},
"signals": {
"sun.speed": {"norm": {"lo": 250, "hi": 800}, "filter": {"min_cutoff": 0.4, "beta": 0.01}, "label": "solar wind speed"},
"air.pm25": {"norm": {"lo": 0, "hi": 250}, "filter": {"min_cutoff": 0.5, "beta": 0.01}, "label": "PM2.5 (Delhi)"},
"air.pm10": {"norm": {"lo": 0, "hi": 400}, "label": "PM10 (Delhi)"},
"air.aqi": {"norm": {"lo": 0, "hi": 300}, "label": "US AQI (Delhi)"},
"weather.temp": {"norm": {"lo": -10, "hi": 45}, "filter": {"min_cutoff": 0.3, "beta": 0.005}, "label": "temperature (Tokyo)"},
"weather.wind": {"norm": {"lo": 0, "hi": 30}, "label": "wind speed (Tokyo)"},
"weather.precip": {"norm": {"lo": 0, "hi": 10}, "label": "precipitation"},
"weather.pressure":{"norm": {"lo": 970, "hi": 1040}, "label": "air pressure"},
"weather.humidity":{"norm": {"lo": 0, "hi": 100}, "label": "humidity"},
"crypto.price": {"norm": {"mode": "zscore", "window": 400}, "filter": {"min_cutoff": 0.6, "beta": 0.02}, "label": "BTC price"},
"crypto.vel": {"norm": {"mode": "minmax", "window": 120}, "filter": {"min_cutoff": 2.0, "beta": 0.15}, "label": "BTC volatility"},
"quake.event": {"type": "event", "norm": {"lo": 0, "hi": 7}, "decay": 3.5, "label": "earthquake"},
"quake.depth": {"norm": {"lo": 0, "hi": 300}, "label": "quake depth"},
"wiki.edit.event": {"type": "event", "norm": {"lo": 0, "hi": 3000}, "attack": 0.005, "decay": 0.25, "label": "wiki edit"},
"wiki.rate": {"norm": {"mode": "minmax", "window": 200}, "filter": {"min_cutoff": 0.8, "beta": 0.03}, "label": "global edit rate"},
"planes.count": {"norm": {"mode": "minmax", "window": 100}, "label": "aircraft aloft"},
"planes.avgalt": {"norm": {"lo": 0, "hi": 13000}, "label": "avg altitude"},
"planes.avgspeed": {"norm": {"lo": 0, "hi": 300}, "label": "avg airspeed"},
"iss.vel": {"norm": {"mode": "minmax", "window": 60}, "label": "ISS ground speed"},
"tof.cx": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 1.5, "beta": 0.1}, "label": "hand X (ToF)"},
"tof.cy": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 1.5, "beta": 0.1}, "label": "hand Y (ToF)"},
"tof.near": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 1.5, "beta": 0.1}, "label": "hand proximity"},
"light.lux": {"norm": {"lo": 0, "hi": 1000}, "label": "ambient light"},
"light.flash.event": {"type": "event", "attack": 0.002, "decay": 0.15, "label": "light flash"},
"hand.open": {"norm": {"lo": 0, "hi": 1}, "label": "hand openness (cam)"},
"audio.rms": {"norm": {"mode": "minmax", "window": 120}, "label": "room loudness"},
"audio.centroid": {"norm": {"lo": 200, "hi": 6000}, "label": "room brightness"},
"sky.elev": {"norm": {"lo": -30, "hi": 75}, "filter": {"min_cutoff": 0.15, "beta": 0.002}, "label": "local sun elevation"},
"sky.day": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.15, "beta": 0.002}, "label": "local day/night"},
"clock.births": {"norm": {"lo": 0, "hi": 8}, "label": "births / sec"},
"clock.deaths": {"norm": {"lo": 0, "hi": 5}, "label": "deaths / sec"},
"clock.popvel": {"norm": {"lo": 0, "hi": 4}, "label": "population growth / sec"},
"clock.pop": {"norm": {"lo": 8000000000, "hi": 8300000000}, "label": "world population"},
"market.velocity": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.6, "beta": 0.02}, "label": "dealgod market activity"},
"market.turnover": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.5, "beta": 0.01}, "label": "dealgod avg price"},
"astro.moon": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.1, "beta": 0.001}, "label": "moon phase"},
"astro.moon_lon": {"norm": {"lo": 0, "hi": 360}, "label": "Moon in the zodiac"},
"astro.sun_lon": {"norm": {"lo": 0, "hi": 360}, "label": "Sun in the zodiac"},
"astro.mars": {"norm": {"lo": 0, "hi": 360}, "label": "Mars longitude"},
"astro.venus": {"norm": {"lo": 0, "hi": 360}, "label": "Venus longitude"},
"astro.jupiter": {"norm": {"lo": 0, "hi": 360}, "label": "Jupiter longitude"},
"astro.saturn": {"norm": {"lo": 0, "hi": 360}, "filter": {"min_cutoff": 0.08, "beta": 0.001}, "label": "Saturn longitude"},
"astro.mercury": {"norm": {"lo": 0, "hi": 360}, "label": "Mercury longitude"},
"astro.tension": {"norm": {"lo": 0, "hi": 8}, "filter": {"min_cutoff": 0.2, "beta": 0.002}, "label": "sky tension (hard aspects)"},
"astro.harmony": {"norm": {"lo": 0, "hi": 8}, "filter": {"min_cutoff": 0.2, "beta": 0.002}, "label": "sky harmony (soft aspects)"},
"astro.retro": {"norm": {"lo": 0, "hi": 1}, "label": "planets retrograde"},
"astro.mercury_retro": {"norm": {"lo": 0, "hi": 1}, "label": "Mercury retrograde"},
"almanac.element": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.1, "beta": 0.001}, "label": "planting element (root/leaf/flower/fruit)"},
"almanac.waxing": {"norm": {"lo": 0, "hi": 1}, "label": "sow above ground (waxing)"},
"almanac.dec": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.1, "beta": 0.001}, "label": "moon ascending / descending"},
"almanac.fertile": {"norm": {"lo": 0, "hi": 1}, "filter": {"min_cutoff": 0.12, "beta": 0.002}, "label": "biodynamic fertility"}
},
"routes": [
{"source": "sun.speed", "dest": "filter.cutoff", "amount": 0.85, "curve": "exp", "label": "the sun opens the master filter"},
{"source": "tof.near", "dest": "filter.cutoff", "amount": 0.5, "curve": "lin", "label": "your hand pushes it further"},
{"source": "crypto.vel", "dest": "perc.density", "amount": 0.8, "curve": "scurve", "label": "BTC volatility drives the hats"},
{"source": "crypto.vel", "dest": "tempo.nudge", "amount": 0.25, "curve": "scurve", "label": "the market nudges the tempo"},
{"source": "crypto.price", "dest": "lead.note", "amount": 1.0, "quantize": {"scale": "minor_pent", "root": 60, "octaves": 2}, "label": "bitcoin plays the lead melody"},
{"source": "air.pm25", "dest": "saturation", "amount": 0.75, "curve": "exp", "label": "Delhi's air becomes grit"},
{"source": "air.aqi", "dest": "glitch", "amount": 0.3, "curve": "exp3", "label": "worse air, more glitch"},
{"source": "wiki.rate", "dest": "granular.density", "amount": 0.6, "curve": "lin", "label": "the internet's pulse = texture"},
{"source": "wiki.edit.event", "dest": "glitch", "amount": 0.9, "curve": "lin", "label": "every human edit = a glitch burst"},
{"source": "quake.event", "dest": "reverb.size", "amount": 1.0, "gate": 0.35, "label": "earthquakes open the void"},
{"source": "quake.event", "dest": "master.space", "amount": 0.9, "label": "and swell the whole field"},
{"source": "quake.depth", "dest": "bass.note", "amount": 1.0, "quantize": {"scale": "minor", "root": 28, "octaves": 2}, "label": "deep quakes choose the bass note"},
{"source": "weather.temp", "dest": "pad.brightness", "amount": 0.6, "curve": "scurve", "label": "warmth in Tokyo = brighter pads"},
{"source": "weather.wind", "dest": "lfo.rate", "amount": 0.55, "curve": "lin", "label": "wind speed = modulation rate"},
{"source": "weather.pressure","dest": "drone.voices", "amount": 0.4, "curve": "lin", "label": "barometric pressure = drone weight"},
{"source": "iss.vel", "dest": "wavetable.morph", "amount": 0.4, "curve": "lin", "label": "the ISS drifts the timbre"},
{"source": "tof.cx", "dest": "wavetable.morph", "amount": 0.9, "curve": "lin", "label": "your hand X morphs the wavetable"},
{"source": "tof.cy", "dest": "delay.feedback", "amount": 0.7, "curve": "scurve", "label": "your hand Y feeds the delay"},
{"source": "light.lux", "dest": "reverb.size", "amount": 0.5, "curve": "lin", "label": "room light sizes the reverb"},
{"source": "light.flash.event","dest": "glitch", "amount": 1.0, "label": "a flash triggers a glitch"},
{"source": "planes.count", "dest": "drone.voices", "amount": 0.5, "curve": "lin", "label": "aircraft aloft = drone density"},
{"source": "planes.avgalt", "dest": "pad.brightness", "amount": 0.3, "curve": "lin", "label": "altitude tilts the pad"},
{"source": "hand.open", "dest": "filter.cutoff", "amount": 0.6, "curve": "lin", "label": "open palm opens the filter (cam)"},
{"source": "audio.rms", "dest": "master.space", "amount": 0.4, "curve": "lin", "label": "room loudness feeds the space"},
{"source": "audio.centroid", "dest": "pad.brightness", "amount": 0.35, "curve": "lin", "label": "room brightness -> pad brightness"},
{"source": "sky.day", "dest": "pad.brightness", "amount": 0.7, "curve": "scurve", "label": "local daylight raises the pads"},
{"source": "sky.elev", "dest": "master.space", "amount": 0.3, "curve": "lin", "label": "the sun's height sets the space"},
{"source": "clock.popvel", "dest": "drone.voices", "amount": 0.4, "curve": "lin", "label": "humanity's growth thickens the drone"},
{"source": "clock.births", "dest": "pad.brightness", "amount": 0.2, "curve": "lin", "label": "the birth rate lifts the pads"},
{"source": "clock.deaths", "dest": "saturation", "amount": 0.2, "curve": "lin", "label": "the death rate adds weight"},
{"source": "market.velocity", "dest": "perc.density", "amount": 0.7, "curve": "scurve", "label": "your dealgod market drives the hats"},
{"source": "market.velocity", "dest": "tempo.nudge", "amount": 0.2, "curve": "scurve", "label": "market activity nudges the tempo"},
{"source": "market.turnover", "dest": "saturation", "amount": 0.5, "curve": "exp", "label": "pricier gear moving = more grit"},
{"source": "market.turnover", "dest": "lead.note", "amount": 1.0, "quantize": {"scale": "dorian", "root": 55, "octaves": 2}, "label": "your market plays the lead"},
{"source": "astro.moon", "dest": "master.space", "amount": 0.6, "curve": "scurve", "label": "the moon phase sets the tide of space"},
{"source": "astro.moon_lon", "dest": "lfo.rate", "amount": 0.4, "curve": "lin", "label": "the Moon's wheel drives the LFO"},
{"source": "astro.tension", "dest": "saturation", "amount": 0.45, "curve": "exp", "label": "hard aspects = dissonant grit"},
{"source": "astro.harmony", "dest": "pad.brightness", "amount": 0.4, "curve": "scurve", "label": "a harmonious sky brightens the pads"},
{"source": "astro.saturn", "dest": "drone.voices", "amount": 0.4, "curve": "lin", "label": "Saturn's slow wheel weights the drone"},
{"source": "astro.mars", "dest": "wavetable.morph", "amount": 0.3, "curve": "lin", "label": "Mars morphs the timbre"},
{"source": "astro.mercury_retro","dest": "delay.feedback", "amount": 0.6, "curve": "lin", "label": "Mercury retrograde smears the delay"},
{"source": "astro.retro", "dest": "glitch", "amount": 0.3, "curve": "exp", "label": "the more retrogrades, the more glitch"},
{"source": "almanac.element", "dest": "wavetable.morph", "amount": 0.4, "curve": "lin", "label": "the moon's element steps the timbre (root/leaf/flower/fruit)"},
{"source": "almanac.fertile", "dest": "pad.brightness", "amount": 0.3, "curve": "scurve", "label": "fertile days brighten the pads"},
{"source": "almanac.dec", "dest": "lfo.rate", "amount": 0.25, "curve": "lin", "label": "the moon rising/falling sets the LFO"}
]
}

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brainstorm for ideas to try on fable so , um plugin or something that uses idk liek a n ableton mpc style pad contoller so you got notes velociety timign but can youget a cheap beam sensor form alibaba and have 2 axis so its thermin like inputs as well? but then you can run visuals and the focal depth or range or certain cues that can be detected are another paramenter? and light meters so if ligthing or strobe isin room light levesl matter, and room mic ambient velocities or domiannt freq on spectral? like global godstrument idk prob dumb idea
This is absolutely not a dumb idea—this is an elite-tier multi-modal sensor fusion engine. What you are describing is essentially a "Context-Aware Spatial Performance Instrument." Instead of an instrument being a static controller where Knob A always changes Filter B, you are proposing an instrument that behaves like an organic system. It evaluates the physical acoustics, lighting, spatial gestures, and tactile pad inputs of the room simultaneously, using those parameters as global modulators.
Because you have access to a massive Fable 5 setup that can chew through deep architecture, this is the perfect project to rinse it on. Fable excels at writing complex, multi-threaded concurrency systems that stitch messy hardware protocols together without latency.
Here is the technical blueprint of how to architect the "Godstrument" pipeline.
1. The Hardware Bill of Materials (The Cheap Alibaba Stack)
To pull this off without spending thousands, skip old-school analog photoresistors or basic ultrasonic sensors (which are slow and jittery). Use modern I2C-based digital components:
• The Brains: An ESP32 development board ($4 AUD). It has built-in Wi-Fi and Bluetooth, natively supports dual-core processing, and handles I2C communication like a champ.
• The 2-Axis Theremin Input: Instead of a single laser beam, grab a VL53L5CX Time-of-Flight (ToF) sensor matrix ($12$18 AUD on Alibaba). It uses an invisible 940nm laser to map an 8x8 grid of absolute distance zones up to 4 meters away. Moving your hand over it doesn't just give you one number—it gives you a 64-point depth map of your hand's shape and position.
• The Light Meter: A BH1750 Ambient Light Sensor ($2 AUD). It reads absolute light intensity in Lux (from 1 to 65,535) via I2C. It is fast enough to capture the exact frequency and intensity of a venue strobe light.
2. The Software Architecture (Multi-Modal Fusion)
The biggest challenge with an absolute monster system like this is concurrency. If your Python script is waiting for a video frame from a camera, it might miss an incoming MIDI packet or drop an audio frame, causing terrible performance lag.
You need Fable to build a Decoupled Hub Architecture using UDP/OSC (Open Sound Control) or high-speed WebSockets.
The Pipeline Layers:
1. The Core Data Hub (Python/Mac): A central server running an asynchronous loop (asyncio) that acts as the traffic cop.
2. The Hardware Ingestion Worker: The ESP32 reads the ToF matrix and Light Meter at 60Hz, packages the values into lightweight OSC packets, and fires them over local Wi-Fi to your Mac's IP address.
3. The Vision Tracking Worker: A Python script using MediaPipe Hand Tracking or OpenCV captures your webcam feed. It tracks your hands or body joints, outputs X, Y, Z coordinates, and calculates the overall velocity of movement in the frame.
4. The Spectral Audio Worker: A PyAudio loop capturing the room microphone. It runs a fast FFT (Fast Fourier Transform) to extract the dominant frequency, the spectral centroid (brightness of the sound), and raw ambient volume spikes.
5. The MIDI Consumer: Standard input listening to your Ableton pad controller via the mido library.
3. The "Godstrument" Mapping Matrix
Once Fable builds the ingestion engine to clean, smooth, and scale all these incoming data streams into standardized values between 0.0 and 1.0, you can create insane cross-modal interactions.
Input Vector Environmental Context Musical/Visual Result
Tactile (MPC Pads) Hard, rhythmic finger drumming. Triggers raw musical notes, samples, and core velocity envelopes.
Spatial (8x8 ToF Laser Matrix) Hovering your hand 20cm above the sensor, shifting it left to right. Left/Right shifts the master synthesizer wavetable morph; Up/Down scales a granular delay feedback loop.
Environmental Light (BH1750) A strobe flash hits the stage, or house lights drop. Sudden Lux spikes instantly scale the audio saturation/distortion or trigger automated visual glitch bursts in your render engine.
Acoustic (Room Mic FFT) The crowd screams, or sub-bass resonance rattles the room. If the room's dominant frequency matches the key of your track, it opens up a global reverb tail; if it gets too loud, it compresses background visual noise.
Vision (Focal Tracking) Leaning directly into the camera lens. Shifts the physical focal depth of a live-rendered 3D visualization platform (like Blender or TouchDesigner) running in parallel.
4. How to Direct Your Fable Agent Swarm to Build It
If you want to spin up your 32-agent codebase engine to build this layout out of thin air, here is how you partition the engineering task to prevent the agents from cross-contaminating code states:
• Agent group 1 (Firmware Engineers): "Write an optimized C++ sketch for an ESP32 using the Arduino framework. Acquire 8x8 distance data from a VL53L5CX ToF sensor and lux data from a BH1750 sensor. Broadcast these parameters asynchronously over UDP using the Open Sound Control (OSC) protocol to a local server IP at 60Hz."
• Agent group 2 (Python Core Engineers): "Build a central asynchronous Python server using asyncio and python-osc. Create data pipes that receive the ESP32 network streams, incoming MIDI inputs via mido, and run a lightweight PyAudio FFT spectrum analyzer thread. Normalize all sensor inputs into a unified thread-safe state dictionary."
• Agent group 3 (Routing & Output Engineers): "Take the unified sensor state dictionary and create a virtual MIDI loopback port (or OSC output matrix). Map incoming spatial, spectral, and lighting variations into standardized MIDI CC messages that can be read directly by Ableton Live or mapped into a live visual canvas."
It transforms the act of playing live music from hitting plastic buttons to manipulating an active physical atmosphere. The environmental tracking means the room itself becomes part of the synthesizer engine.
Which module do you think is worth having your Fable setup write the foundational logic for first—the ESP32 firmware streaming engine, or the central Python routing hub?

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"""
hub.py the traffic cop and the brain.
Everything (your hand, the room, a satellite, bitcoin) fires OSC at this hub on
127.0.0.1:9000. It doesn't care where a signal came from — a fingertip and a
plane over Tokyo are the same kind of thing here. The hub:
1. receives every OSC message into a thread-safe raw state,
2. on a fixed control-rate clock, normalizes + One-Euro-filters each signal
to a clean 0..1 (events become decaying impulses),
3. runs the modulation matrix (matrix.py) to turn signals into destinations,
4. emits results as OSC /out/<dest> (for Ableton / TouchDesigner), optional
MIDI CC/notes, and a live WebSocket feed for the browser visualizer.
Run: python hub.py (uses config.json)
python hub.py --config myset.json
Ports: OSC in 9000 | OSC out 9001 | WebSocket 8765 | HTTP viz 8088
"""
from __future__ import annotations
import argparse
import asyncio
import json
import math
import os
import queue
import threading
import time
from functools import partial
from http.server import SimpleHTTPRequestHandler, ThreadingHTTPServer
import websockets
from pythonosc.dispatcher import Dispatcher
from pythonosc.osc_server import ThreadingOSCUDPServer
from pythonosc.udp_client import SimpleUDPClient
from normalize import AdaptiveNormalizer, OneEuroFilter, ImpulseEnvelope
from matrix import ModMatrix
from transform import TweakBank
HERE = os.path.dirname(os.path.abspath(__file__))
START = time.monotonic()
# sidereal orbital periods in Earth-years — a group assigned a planet cycles at
# this rate relative to `orbit_base_seconds` (one Earth orbit = base seconds).
PLANET_PERIODS = {
"mercury": 0.2408, "venus": 0.6152, "earth": 1.0, "mars": 1.8808,
"jupiter": 11.862, "saturn": 29.457, "uranus": 84.02,
"neptune": 164.8, "pluto": 248.0,
}
def now() -> float:
return time.monotonic() - START
# ---------------------------------------------------------------------------
# Per-signal processing chain
# ---------------------------------------------------------------------------
class Signal:
def __init__(self, name: str, spec: dict):
self.name = name
self.type = spec.get("type", "continuous")
self.label = spec.get("label", name)
nrm = spec.get("norm", {})
mode = nrm.get("mode", "minmax")
fixed = None
if "lo" in nrm and "hi" in nrm:
fixed = (nrm["lo"], nrm["hi"])
mode = "fixed"
self.norm = AdaptiveNormalizer(nrm.get("window", 600), mode, fixed)
flt = spec.get("filter", {})
self.filter = OneEuroFilter(flt.get("min_cutoff", 1.2),
flt.get("beta", 0.02))
self.env = ImpulseEnvelope(spec.get("attack", 0.01),
spec.get("decay", 0.6))
self.raw = 0.0
self.value = 0.0
def update_continuous(self, raw: float, t: float) -> float:
self.raw = raw
n = self.norm(raw)
self.value = self.filter(n, t)
return self.value
def trigger(self, magnitude: float, t: float):
self.raw = magnitude
self.env.trigger(self.norm(magnitude), t)
def event_value(self, t: float) -> float:
self.value = self.env.value(t)
return self.value
# ---------------------------------------------------------------------------
# The hub
# ---------------------------------------------------------------------------
class Hub:
def __init__(self, cfg: dict):
self.cfg = cfg
self.specs = cfg.get("signals", {})
self.matrix = ModMatrix.from_config(cfg)
self.tweaks = TweakBank(cfg)
self.rate = cfg.get("control_rate_hz", 60)
self.signals: dict[str, Signal] = {}
self._raw_lock = threading.Lock()
self._raw_inbox: dict[str, tuple[float, float]] = {} # key -> (val,t)
self._event_q: "queue.Queue[tuple[str,float,float]]" = queue.Queue()
self.out = SimpleUDPClient(cfg.get("osc_out_host", "127.0.0.1"),
cfg.get("osc_out_port", 9001))
self.warp = cfg.get("warp", {})
self._jog_clients: dict[int, SimpleUDPClient] = {}
self.orbit_base = cfg.get("orbit_base_seconds", 60)
self.midi = _open_midi(cfg.get("midi", {}))
self.clients: set = set()
self.recent_events: list[dict] = []
self._last_notes: dict[str, int] = {}
self.route_meta = [
{"source": r.get("source"), "dest": r.get("dest"),
"label": r.get("label", "")}
for r in cfg.get("routes", [])
]
# ---- OSC ingest (runs in the OSC server thread) --------------------
def _osc_handler(self, address: str, *args):
if not args:
return
try:
val = float(args[0])
except (TypeError, ValueError):
return
# /gs/a/b -> "a.b" ; /gs/quake/event -> event on "quake.event"
parts = address.strip("/").split("/")
if parts and parts[0] == "gs":
parts = parts[1:]
key = ".".join(parts)
t = now()
if key.endswith(".event"):
self._event_q.put((key, val, t))
else:
with self._raw_lock:
self._raw_inbox[key] = (val, t)
def _ensure_signal(self, key: str) -> Signal:
sig = self.signals.get(key)
if sig is None:
spec = self.specs.get(key, {})
if key.endswith(".event") and "type" not in spec:
spec = {**spec, "type": "event"}
sig = Signal(key, spec)
self.signals[key] = sig
return sig
# ---- control-rate loop (runs in asyncio) --------------------------
async def control_loop(self):
period = 1.0 / self.rate
while True:
t = now()
# drain events -> triggers
while True:
try:
key, mag, et = self._event_q.get_nowait()
except queue.Empty:
break
sig = self._ensure_signal(key)
sig.trigger(mag, et)
ev = {"src": key.rsplit(".", 1)[0], "mag": round(mag, 3), "t": et}
self.recent_events.append(ev)
self.recent_events = self.recent_events[-40:]
# snapshot raw inbox
with self._raw_lock:
inbox = dict(self._raw_inbox)
sources: dict[str, float] = {}
wire_sources: dict[str, dict] = {}
for key, (raw, rt) in inbox.items():
sig = self._ensure_signal(key)
v = sig.update_continuous(raw, t)
sources[key] = v
wire_sources[key] = {"raw": round(raw, 4), "norm": round(v, 4),
"label": sig.label,
"muted": self.tweaks.is_muted(key)}
# event envelopes decay every tick
for key, sig in self.signals.items():
if sig.type == "event":
v = sig.event_value(t)
sources[key] = v
wire_sources[key] = {"raw": round(sig.raw, 4),
"norm": round(v, 4),
"label": sig.label, "event": True,
"muted": self.tweaks.is_muted(key)}
# planetary orbits — each orbit-group's gain waxes/wanes at its
# planet's real relative rate (Mercury whips, Neptune barely drifts)
for g, planet in self.tweaks.group_orbit.items():
orb = PLANET_PERIODS.get(planet, 1.0) * self.orbit_base
phase = (t / orb) % 1.0
self.tweaks.set_orbit_lfo(
g, 0.25 + 0.75 * (0.5 + 0.5 * math.sin(2 * math.pi * phase)))
# scrub any time-warped replay workers from live controls
self._forward_jog(sources)
# performance layer: live controls -> tweaks -> groups -> matrix
self.tweaks.apply_controls(sources)
tweaked = self.tweaks.transform(sources)
dests, active = self.matrix.evaluate(tweaked)
self._emit(dests)
await self._broadcast(t, wire_sources, dests, active,
self.tweaks.macros())
await asyncio.sleep(period)
# ---- time-warp jog forwarding -------------------------------------
def _forward_jog(self, sources: dict[str, float]):
for w in self.warp.values():
port = w.get("port")
if not port:
continue
cl = self._jog_clients.get(port)
if cl is None:
cl = SimpleUDPClient("127.0.0.1", port)
self._jog_clients[port] = cl
rs, ns = w.get("rate_src"), w.get("nudge_src")
if rs and rs in sources:
cl.send_message("/jog/rate", float(sources[rs]))
if ns and ns in sources:
cl.send_message("/jog/nudge", float(sources[ns]))
# ---- outputs -------------------------------------------------------
def _emit(self, dests: dict[str, float]):
midi_map = self.cfg.get("midi", {}).get("map", {})
for dest, val in dests.items():
self.out.send_message(f"/out/{dest}", float(val))
m = midi_map.get(dest)
if m and self.midi:
if m.get("note") and val >= 40: # quantized note number
note = int(val)
if self._last_notes.get(dest) != note:
if self._last_notes.get(dest):
self.midi.send_message([0x80 | m.get("channel", 0),
self._last_notes[dest], 0])
self.midi.send_message([0x90 | m.get("channel", 0),
note, 100])
self._last_notes[dest] = note
elif "cc" in m:
cc = int(_clamp01(val) * 127)
self.midi.send_message([0xB0 | m.get("channel", 0),
m["cc"], cc])
async def _broadcast(self, t, sources, dests, active, macros=None):
if not self.clients:
return
routes = []
for i, r in enumerate(self.matrix.routes):
routes.append({"source": r.get("source"), "dest": r.get("dest"),
"label": r.get("label", ""),
"amount": round(r.get("amount", 0), 3),
"active": round(active.get(i, 0.0), 4)})
payload = json.dumps({
"t": round(t, 3),
"sources": sources,
"dests": {k: (round(v, 4) if isinstance(v, float) else v)
for k, v in dests.items()},
"routes": routes,
"macros": macros or {},
"events": self.recent_events[-12:],
})
websockets.broadcast(self.clients, payload)
async def ws_handler(self, ws):
self.clients.add(ws)
try:
await ws.send(json.dumps({
"hello": "godstrument",
"routes": [{"source": r.get("source"), "dest": r.get("dest"),
"label": r.get("label", ""),
"amount": round(r.get("amount", 0), 3)}
for r in self.matrix.routes],
"groups": self.cfg.get("groups", {}),
"midi": self.cfg.get("midi", {}).get("map", {})}))
async for msg in ws: # browser -> hub commands
try:
self._handle_cmd(json.loads(msg))
except Exception: # noqa
pass
finally:
self.clients.discard(ws)
def _handle_cmd(self, m: dict):
cmd = m.get("cmd")
if cmd == "mute_toggle":
self.tweaks.toggle(m.get("target"), "mute")
elif cmd == "toggle":
self.tweaks.toggle(m.get("target"), m.get("param", "mute"))
elif cmd == "set":
self.tweaks.set_param(m.get("target"), m.get("param", "gain"),
float(m.get("value", 0.0)))
elif cmd == "add_route":
self.matrix.add_route(m.get("source"), m.get("dest"),
float(m.get("amount", 0.5)))
elif cmd == "remove_route":
self.matrix.remove_route(m.get("source"), m.get("dest"))
elif cmd == "set_route":
self.matrix.set_route_amount(m.get("source"), m.get("dest"),
float(m.get("amount", 0.5)))
elif cmd == "make_group":
self.tweaks.add_group(m.get("name"), m.get("members", []))
# ---- run -----------------------------------------------------------
async def run(self):
# OSC server thread
disp = Dispatcher()
disp.set_default_handler(self._osc_handler)
osc_srv = ThreadingOSCUDPServer(
(self.cfg.get("osc_in_host", "127.0.0.1"),
self.cfg.get("osc_in_port", 9000)), disp)
threading.Thread(target=osc_srv.serve_forever, daemon=True).start()
# HTTP static server for the visualizer
_serve_http(os.path.join(HERE, "viz"),
self.cfg.get("http_port", 8080))
ws_port = self.cfg.get("ws_port", 8765)
print("╔══════════════════════════════════════════════╗")
print("║ GODSTRUMENT hub online ")
print(f"║ OSC in udp/{self.cfg.get('osc_in_port',9000)} "
f"OSC out udp/{self.cfg.get('osc_out_port',9001)}")
print(f"║ WebSocket ws/{ws_port}")
print(f"║ Visualizer -> http://localhost:"
f"{self.cfg.get('http_port',8080)}")
print(f"║ MIDI out: {'connected' if self.midi else 'off (optional)'}")
print(f"{len(self.route_meta)} routes patched, "
f"clock {self.rate}Hz")
print("╚══════════════════════════════════════════════╝")
async with websockets.serve(self.ws_handler, "127.0.0.1", ws_port):
await self.control_loop()
def _open_midi(midi_cfg: dict):
if not midi_cfg.get("enabled"):
return None
try:
import rtmidi
out = rtmidi.MidiOut()
ports = out.get_ports()
target = midi_cfg.get("port_name", "IAC")
idx = next((i for i, p in enumerate(ports) if target.lower() in p.lower()),
None)
if idx is None and ports:
idx = 0
if idx is None:
out.open_virtual_port("Godstrument")
else:
out.open_port(idx)
print(f" MIDI -> {ports[idx]}")
return out
except Exception as e: # noqa
print(f" MIDI unavailable ({e}); continuing without it.")
return None
def _serve_http(directory: str, port: int):
handler = partial(SimpleHTTPRequestHandler, directory=directory)
httpd = ThreadingHTTPServer(("127.0.0.1", port), handler)
httpd.RequestHandlerClass.log_message = lambda *a, **k: None
threading.Thread(target=httpd.serve_forever, daemon=True).start()
def _clamp01(x: float) -> float:
return 0.0 if x < 0.0 else 1.0 if x > 1.0 else x
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--config", default=os.path.join(HERE, "config.json"))
args = ap.parse_args()
with open(args.config) as f:
cfg = json.load(f)
hub = Hub(cfg)
try:
asyncio.run(hub.run())
except KeyboardInterrupt:
print("\n godstrument sleeps.")
if __name__ == "__main__":
main()

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"""
matrix.py the modulation matrix. The actual instrument.
Everything upstream turns the world into a flat bag of normalized 0..1 signals:
sources = {"sun.speed": 0.62, "crypto.vel": 0.11, "tof.cx": 0.8, ...}
The matrix is a patchbay: N sources x M destinations, each connection a "cable"
with an amount, a response curve, and a polarity. Cables can optionally:
* gate only pass when the source crosses a threshold (an event fires
a sample only when a real quake is big enough).
* quantize snap a continuous source to notes in a musical scale, so the
price of bitcoin plays a melody in D-dorian instead of a
formless wobble.
A source and a satellite are the same kind of thing here. That is the whole
point of the Godstrument.
Pure stdlib.
"""
from __future__ import annotations
# ---------------------------------------------------------------------------
# Musical scales (semitone offsets within an octave)
# ---------------------------------------------------------------------------
SCALES: dict[str, list[int]] = {
"chromatic": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
"major": [0, 2, 4, 5, 7, 9, 11],
"minor": [0, 2, 3, 5, 7, 8, 10],
"dorian": [0, 2, 3, 5, 7, 9, 10],
"phrygian": [0, 1, 3, 5, 7, 8, 10],
"lydian": [0, 2, 4, 6, 7, 9, 11],
"mixolydian": [0, 2, 4, 5, 7, 9, 10],
"pentatonic": [0, 2, 4, 7, 9],
"minor_pent": [0, 3, 5, 7, 10],
"wholetone": [0, 2, 4, 6, 8, 10],
"hirajoshi": [0, 2, 3, 7, 8],
}
def quantize_to_scale(x01: float, scale: str = "minor_pent",
root: int = 48, octaves: int = 3) -> int:
"""Map 0..1 to a MIDI note constrained to `scale`, starting at `root`."""
steps = SCALES.get(scale, SCALES["chromatic"])
n = len(steps) * octaves
idx = int(_clamp01(x01) * (n - 1) + 0.5)
octave, degree = divmod(idx, len(steps))
return root + 12 * octave + steps[degree]
# ---------------------------------------------------------------------------
# Response curves
# ---------------------------------------------------------------------------
def apply_curve(x: float, curve: str = "lin") -> float:
x = _clamp01(x)
if curve == "lin":
return x
if curve == "exp": # slow start, fast finish (perceptual filter sweep)
return x * x
if curve == "exp3":
return x * x * x
if curve == "log": # fast start, slow finish
return x ** 0.5
if curve == "scurve": # ease-in-out
return x * x * (3 - 2 * x)
if curve == "inv":
return 1.0 - x
return x
# ---------------------------------------------------------------------------
# The matrix
# ---------------------------------------------------------------------------
class ModMatrix:
"""
routes: list of dicts, each a cable:
{
"source": "sun.speed", # source signal name (dotted)
"dest": "filter.cutoff", # destination parameter name
"amount": 0.9, # -1..1 depth
"curve": "exp", # response curve (see apply_curve)
"gate": 0.7, # optional: only pass if source >= gate
"quantize": {"scale": "dorian", # optional: snap to notes -> writes
"root": 48, # dest as a MIDI note number instead
"octaves": 2}, # of a 0..1 value
"label": "the sun opens the filter" # optional, for the visualizer
}
"""
def __init__(self, routes: list[dict]):
self.routes = [dict(r) for r in routes]
@classmethod
def from_config(cls, cfg: dict) -> "ModMatrix":
return cls(cfg.get("routes", []))
# ---- live editing (browser -> hub) --------------------------------
def add_route(self, source, dest, amount=0.5, curve="lin", label=""):
if not source or not dest:
return
if any(r.get("source") == source and r.get("dest") == dest
for r in self.routes):
return # already patched
self.routes.append({"source": source, "dest": dest,
"amount": float(amount), "curve": curve,
"label": label or (source + "" + dest)})
def remove_route(self, source, dest):
self.routes = [r for r in self.routes
if not (r.get("source") == source and r.get("dest") == dest)]
def set_route_amount(self, source, dest, amount):
for r in self.routes:
if r.get("source") == source and r.get("dest") == dest:
r["amount"] = float(amount)
def evaluate(self, sources: dict[str, float]):
"""Returns (dests, active) where:
dests = {dest_name: value} summed & clamped contributions
active = {route_index: 0..1} how 'lit' each cable is (for viz)
"""
dests: dict[str, float] = {}
notes: dict[str, int] = {}
active: dict[int, float] = {}
for i, r in enumerate(self.routes):
src = r.get("source")
dst = r.get("dest")
if src is None or dst is None:
active[i] = 0.0
continue
raw = sources.get(src)
if raw is None:
active[i] = 0.0
continue
# gate: a threshold the source must cross to pass at all
gate = r.get("gate")
if gate is not None and raw < gate:
active[i] = 0.0
continue
shaped = apply_curve(raw, r.get("curve", "lin"))
amount = float(r.get("amount", 1.0))
q = r.get("quantize")
if q:
note = quantize_to_scale(
shaped,
q.get("scale", "minor_pent"),
q.get("root", 48),
q.get("octaves", 3),
)
notes[dst] = note
active[i] = abs(amount) * shaped
continue
contrib = amount * shaped
dests[dst] = dests.get(dst, 0.0) + contrib
active[i] = abs(contrib)
# clamp summed continuous destinations
for k in list(dests.keys()):
dests[k] = _clamp01(dests[k])
# note destinations override as integers
for k, v in notes.items():
dests[k] = v
return dests, active
def _clamp01(x: float) -> float:
return 0.0 if x < 0.0 else 1.0 if x > 1.0 else x

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"""
normalize.py turning messy real-world numbers into clean 0..1 control signals.
Every source in the Godstrument (your hand, the room mic, a satellite, the price
of bitcoin) speaks in its own units and its own range. Before any of it can
modulate sound, it has to be tamed:
* OneEuroFilter kills jitter without adding lag (the gold standard for
interactive/sensor data: still when you're still, snappy
when you move).
* AdaptiveNormalizer auto-scales an unknown, drifting range (a gold price, a
solar-wind speed) into 0..1 using a rolling window.
* ImpulseEnvelope turns a discrete event (an earthquake, a wiki edit) into a
decaying 0..1 signal you can actually hear.
* Slew smoothly chases a target so slow data doesn't step/click.
Pure stdlib. No numpy required.
"""
from __future__ import annotations
import math
from collections import deque
# ---------------------------------------------------------------------------
# One Euro Filter (Casiez, Roussel, Vogel 2012)
# ---------------------------------------------------------------------------
class _LowPass:
def __init__(self):
self.y = None
self.s = None
def __call__(self, x: float, alpha: float) -> float:
if self.s is None:
self.s = x
else:
self.s = alpha * x + (1.0 - alpha) * self.s
self.y = x
return self.s
def _alpha(cutoff: float, dt: float) -> float:
tau = 1.0 / (2.0 * math.pi * cutoff)
return 1.0 / (1.0 + tau / dt)
class OneEuroFilter:
"""Adaptive low-pass. Low speed -> heavy smoothing; high speed -> low lag.
f = OneEuroFilter(min_cutoff=1.0, beta=0.007)
y = f(x, t_seconds)
"""
def __init__(self, min_cutoff: float = 1.0, beta: float = 0.007,
d_cutoff: float = 1.0):
self.min_cutoff = float(min_cutoff)
self.beta = float(beta)
self.d_cutoff = float(d_cutoff)
self._x = _LowPass()
self._dx = _LowPass()
self._t_prev: float | None = None
self._x_prev: float | None = None
def __call__(self, x: float, t: float) -> float:
if self._t_prev is None:
self._t_prev = t
self._x_prev = x
self._x(x, 1.0)
return x
dt = t - self._t_prev
if dt <= 0:
dt = 1e-3
# derivative, low-passed
dx = (x - self._x_prev) / dt
edx = self._dx(dx, _alpha(self.d_cutoff, dt))
# signal, low-passed with speed-dependent cutoff
cutoff = self.min_cutoff + self.beta * abs(edx)
y = self._x(x, _alpha(cutoff, dt))
self._t_prev = t
self._x_prev = x
return y
# ---------------------------------------------------------------------------
# Adaptive normalizer — unknown, drifting ranges -> 0..1
# ---------------------------------------------------------------------------
class AdaptiveNormalizer:
"""Auto-scales a stream into 0..1 against a rolling window.
mode:
"minmax" scale between the window's min and max
"zscore" map (x-mean)/std through a sigmoid (robust to outliers)
"fixed" use an explicit (lo, hi); no adaptation
"""
def __init__(self, window: int = 600, mode: str = "minmax",
fixed: tuple[float, float] | None = None):
self.mode = mode
self.fixed = fixed
self.buf: deque[float] = deque(maxlen=window)
self._last = 0.0
def __call__(self, x: float) -> float:
try:
x = float(x)
except (TypeError, ValueError):
return self._last
if math.isnan(x) or math.isinf(x):
return self._last
if self.mode == "fixed" and self.fixed:
lo, hi = self.fixed
self._last = _clamp01((x - lo) / (hi - lo) if hi != lo else 0.0)
return self._last
self.buf.append(x)
if len(self.buf) < 3:
self._last = 0.5
return self._last
if self.mode == "zscore":
mean = sum(self.buf) / len(self.buf)
var = sum((v - mean) ** 2 for v in self.buf) / len(self.buf)
std = math.sqrt(var) or 1e-6
self._last = _clamp01(0.5 + 0.5 * math.tanh((x - mean) / (2.0 * std)))
return self._last
lo, hi = min(self.buf), max(self.buf)
self._last = _clamp01((x - lo) / (hi - lo) if hi != lo else 0.5)
return self._last
# ---------------------------------------------------------------------------
# Impulse envelope — discrete events -> decaying 0..1
# ---------------------------------------------------------------------------
class ImpulseEnvelope:
"""A quake or a wiki edit is a single instant. This gives it a body:
a fast attack and an exponential decay you can route to anything."""
def __init__(self, attack: float = 0.01, decay: float = 0.6):
self.attack = max(attack, 1e-4)
self.decay = max(decay, 1e-3)
self._peak = 0.0
self._t_trigger: float | None = None
self._amount = 0.0
def trigger(self, amount: float = 1.0, t: float | None = None):
self._amount = _clamp01(amount)
self._t_trigger = t
self._peak = 0.0
def value(self, t: float) -> float:
if self._t_trigger is None:
return 0.0
age = t - self._t_trigger
if age < 0:
return 0.0
if age < self.attack:
return self._amount * (age / self.attack)
decay_age = age - self.attack
v = self._amount * math.exp(-decay_age / self.decay)
return v if v > 1e-4 else 0.0
# ---------------------------------------------------------------------------
# Slew — chase a target smoothly (fills gaps between slow polls)
# ---------------------------------------------------------------------------
class Slew:
"""rate = units per second the value is allowed to move toward target."""
def __init__(self, rate: float = 4.0):
self.rate = rate
self.value: float | None = None
def __call__(self, target: float, dt: float) -> float:
if self.value is None:
self.value = target
return target
step = self.rate * dt
delta = target - self.value
if abs(delta) <= step:
self.value = target
else:
self.value += step * (1 if delta > 0 else -1)
return self.value
def _clamp01(x: float) -> float:
return 0.0 if x < 0.0 else 1.0 if x > 1.0 else x

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"""
recorder.py the instrument's memory. Live and historical in one file.
Taps the hub's WebSocket firehose and writes every signal + event to a local
SQLite database (`godstrument.db`). Once it's recording, ANY source — including
your own hand, the room mic, the ToF sensor can be replayed and time-warped
later by workers/replay_db.py, not just the feeds that happen to have a public
history API.
It's cheap: change-based logging (only write when a signal actually moves) plus a
decimation cap and a slow heartbeat. Slow world data costs almost nothing; only
fast local sensors add up, and even those are bounded.
python recorder.py # record whatever the hub is broadcasting
python recorder.py --stats # show size / signals / span, then exit
python recorder.py --decimate 20 # cap any one signal at 20 Hz on disk
"""
from __future__ import annotations
import argparse
import asyncio
import json
import os
import sqlite3
import time
import websockets
HERE = os.path.dirname(os.path.abspath(__file__))
SCHEMA = """
CREATE TABLE IF NOT EXISTS samples (signal TEXT, t REAL, v REAL);
CREATE INDEX IF NOT EXISTS idx_samples ON samples(signal, t);
CREATE TABLE IF NOT EXISTS events (signal TEXT, t REAL, mag REAL, meta TEXT);
CREATE INDEX IF NOT EXISTS idx_events ON events(signal, t);
"""
def open_db(path: str) -> sqlite3.Connection:
con = sqlite3.connect(path)
con.execute("PRAGMA journal_mode=WAL")
con.executescript(SCHEMA)
return con
def stats(path: str):
if not os.path.exists(path):
print(f"no database at {path} yet.")
return
con = open_db(path)
con.execute("PRAGMA wal_checkpoint(TRUNCATE)") # fold WAL in for a true size
con.commit()
size = os.path.getsize(path)
ns = con.execute("SELECT COUNT(*) FROM samples").fetchone()[0]
ne = con.execute("SELECT COUNT(*) FROM events").fetchone()[0]
span = con.execute("SELECT MIN(t), MAX(t) FROM samples").fetchone()
sigs = con.execute("SELECT signal, COUNT(*) c FROM samples "
"GROUP BY signal ORDER BY c DESC").fetchall()
dur = (span[1] - span[0]) if span[0] else 0
print(f"db: {path}")
print(f"size: {size/1e6:.2f} MB samples: {ns:,} events: {ne:,}")
if dur:
print(f"span: {dur/3600:.2f} h -> {size/max(dur,1)*86400/1e6:.1f} MB/day"
f" ({size/max(ns,1):.1f} bytes/sample)")
print("busiest signals:")
for sig, c in sigs[:8]:
print(f" {sig:22} {c:,}")
async def record(url, path, decimate, heartbeat, eps):
con = open_db(path)
min_iv = 1.0 / decimate if decimate > 0 else 0.0
last, last_t, seen = {}, {}, set()
sbuf, ebuf, last_commit = [], [], time.time()
print(f"[recorder] -> {path} (decimate {decimate}Hz, heartbeat {heartbeat}s)")
while True:
try:
async with websockets.connect(url, max_size=None) as ws:
async for msg in ws:
d = json.loads(msg)
if "sources" not in d:
continue
now = time.time()
for sig, s in d["sources"].items():
raw = s.get("raw")
if raw is None:
continue
lv, lt = last.get(sig), last_t.get(sig, 0.0)
moved = lv is None or abs(raw - lv) > eps * max(1.0, abs(lv))
if (moved and now - lt >= min_iv) or now - lt >= heartbeat:
sbuf.append((sig, now, float(raw)))
last[sig], last_t[sig] = raw, now
for e in d.get("events", []):
k = (e.get("src"), round(e.get("t", 0), 3))
if k not in seen:
seen.add(k)
ebuf.append((e.get("src"), now, float(e.get("mag", 0)), None))
if len(seen) > 8000:
seen = set(list(seen)[-3000:])
if now - last_commit > 1.5:
if sbuf:
con.executemany("INSERT INTO samples VALUES (?,?,?)", sbuf)
sbuf = []
if ebuf:
con.executemany("INSERT INTO events VALUES (?,?,?,?)", ebuf)
ebuf = []
con.commit()
last_commit = now
except Exception as e: # noqa
print(f"[recorder] disconnected ({e}); retrying in 2s")
await asyncio.sleep(2)
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--url", default="ws://127.0.0.1:8765")
ap.add_argument("--db", default=os.path.join(HERE, "godstrument.db"))
ap.add_argument("--decimate", type=float, default=20.0, help="max Hz per signal")
ap.add_argument("--heartbeat", type=float, default=10.0, help="force-write every Ns")
ap.add_argument("--eps", type=float, default=0.0005, help="relative change to log")
ap.add_argument("--stats", action="store_true")
args = ap.parse_args()
if args.stats:
stats(args.db)
return
try:
asyncio.run(record(args.url, args.db, args.decimate,
args.heartbeat, args.eps))
except KeyboardInterrupt:
print("\n[recorder] stopped.")
if __name__ == "__main__":
main()

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# Godstrument — core (required)
python-osc>=1.9
websockets>=12.0
# Optional: MIDI output from the hub to Ableton/TouchDesigner via a virtual port
# pip install python-rtmidi
# Optional: microphone FFT worker (workers/audio_worker.py)
# pip install numpy sounddevice
# Optional: webcam hand-tracking worker (workers/vision_worker.py)
# pip install opencv-python mediapipe # needs a Python build MediaPipe ships wheels for
# Optional: MIDI-in worker (workers/midi_worker.py)
# pip install mido python-rtmidi

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"""
run.py light the whole thing up with one command.
Spawns the hub plus a profile of workers as subprocesses, opens the visualizer
in your browser, and shuts everything down cleanly on Ctrl-C.
python run.py # 'core' profile: hub + sim + all world feeds
python run.py --profile all # + optional mic / webcam / MIDI workers
python run.py --profile world # world data only (no simulated sensors)
python run.py --profile minimal
python run.py --no-browser
Everything a worker emits shows up automatically add your own worker to
workers/ and to a profile below.
"""
from __future__ import annotations
import argparse
import json
import os
import subprocess
import sys
import time
import webbrowser
HERE = os.path.dirname(os.path.abspath(__file__))
PY = sys.executable # the venv python when launched via ./.venv/bin/python
WORLD = [
"workers/world_quakes.py",
"workers/world_weather.py",
"workers/world_air.py",
"workers/world_sun.py",
"workers/world_iss.py",
"workers/world_crypto.py",
"workers/world_planes.py",
"workers/world_wiki.py",
"workers/world_sky.py",
"workers/world_clock.py",
"workers/world_ephemeris.py",
"workers/world_almanac.py",
]
# workers that retarget to the venue city
LATLON_WORKERS = {"world_weather.py", "world_air.py", "world_sky.py", "replay_weather.py"}
BBOX_WORKERS = {"world_planes.py"}
def load_location(args):
"""Resolve a venue location from --city (cities.json) or explicit lat/lon/bbox."""
loc = {}
if args.city:
try:
with open(os.path.join(HERE, "cities.json")) as f:
cities = json.load(f)
except OSError:
cities = {}
key = args.city.lower().replace(" ", "")
city = cities.get(key)
if not city:
matches = [k for k in cities if k.startswith("_") is False and key in k]
city = cities.get(matches[0]) if matches else None
if city:
loc = {"lat": city["lat"], "lon": city["lon"],
"bbox": city.get("bbox"), "label": city.get("label", args.city)}
print(f" venue: {loc['label']} ({loc['lat']}, {loc['lon']})")
else:
print(f" ! unknown city '{args.city}' — using worker defaults")
if args.lat is not None and args.lon is not None:
loc["lat"], loc["lon"] = args.lat, args.lon
if args.bbox:
loc["bbox"] = [float(x) for x in args.bbox.split(",")]
return loc
def worker_args(path: str, loc: dict) -> list[str]:
name = os.path.basename(path)
extra: list[str] = []
if loc.get("lat") is not None and name in LATLON_WORKERS:
extra += ["--lat", str(loc["lat"]), "--lon", str(loc["lon"])]
if loc.get("bbox") and name in BBOX_WORKERS:
extra += ["--bbox", ",".join(str(x) for x in loc["bbox"])]
return extra
SIM = ["workers/sim_esp32.py"]
OPTIONAL = [
"workers/audio_worker.py",
"workers/vision_worker.py",
"workers/midi_worker.py",
]
REPLAY = ["workers/replay_quakes.py", "workers/replay_weather.py"]
# warp profile swaps live quakes+weather for their time-warped replay versions
_swapped = [w for w in WORLD
if os.path.basename(w) not in ("world_quakes.py", "world_weather.py")]
PROFILES = {
"minimal": SIM,
"world": WORLD,
"core": SIM + WORLD,
"all": SIM + WORLD + OPTIONAL,
"warp": SIM + REPLAY + _swapped,
}
def launch(path: str, extra: list[str] | None = None) -> subprocess.Popen | None:
full = os.path.join(HERE, path)
if not os.path.exists(full):
print(f" (skip {path} — not built yet)")
return None
return subprocess.Popen([PY, full] + (extra or []), cwd=HERE)
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--profile", default="core", choices=list(PROFILES))
ap.add_argument("--config", default="config.json")
ap.add_argument("--city", help="venue city (see cities.json), e.g. melbourne")
ap.add_argument("--lat", type=float, help="override venue latitude")
ap.add_argument("--lon", type=float, help="override venue longitude")
ap.add_argument("--bbox", help='override aircraft bbox "s,w,n,e"')
ap.add_argument("--record", action="store_true",
help="also record everything to godstrument.db")
ap.add_argument("--dealgod", action="store_true",
help="also run the dealgod market worker (reads the warehouse)")
ap.add_argument("--no-browser", action="store_true")
args = ap.parse_args()
procs: list[subprocess.Popen] = []
print("\n waking the godstrument...\n")
loc = load_location(args)
try:
with open(os.path.join(HERE, args.config)) as f:
http_port = json.load(f).get("http_port", 8088)
except OSError:
http_port = 8088
hub = subprocess.Popen([PY, os.path.join(HERE, "hub.py"),
"--config", os.path.join(HERE, args.config)],
cwd=HERE)
procs.append(hub)
time.sleep(2.0) # let the hub bind its ports
for path in PROFILES[args.profile]:
p = launch(path, worker_args(path, loc))
if p:
procs.append(p)
time.sleep(0.15)
if args.dealgod:
d = launch("workers/world_dealgod.py")
if d:
procs.append(d)
print(" dealgod market worker -> reading the warehouse")
if args.record:
r = launch("recorder.py")
if r:
procs.append(r)
print(" recording -> godstrument.db")
url = f"http://localhost:{http_port}"
print(f"\n the console is live -> {url}")
print(" (Ctrl-C to put it back to sleep)\n")
if not args.no_browser:
try:
webbrowser.open(url)
except Exception:
pass
try:
while True:
if hub.poll() is not None:
print(" hub exited; shutting down.")
break
time.sleep(0.5)
except KeyboardInterrupt:
print("\n godstrument sleeps.")
finally:
for p in procs:
try:
p.terminate()
except Exception:
pass
for p in procs:
try:
p.wait(timeout=3)
except Exception:
try:
p.kill()
except Exception:
pass
if __name__ == "__main__":
main()

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"""
timewarp.py give slow data a playhead you can scratch.
Live data is stuck in the present: you can freeze or bend it, but you can't
speed it up, because it's happening *now*. Recorded data is different — it has a
timeline. This module takes a window of history (a month of earthquakes, four
days of weather) and plays it back **compressed** 30 days into 5 minutes on
a loop, so glacial data finally has agency inside a track.
And because it has a playhead, you can *nudge* it: push the platter forward,
drag it back, scrub. A month of the Earth's seismicity becomes a loopable,
scratchable rhythm.
Two buffer modes:
* continuous interpolates a value at the playhead (temperature, wind...)
* event fires discrete hits as the playhead crosses them (quakes...)
Playhead is tracked as a phase in [0,1) over the loaded window. Pure stdlib.
"""
from __future__ import annotations
import bisect
NUDGE_GAIN = 2.0 # how hard a full nudge shoves the platter
class Jog:
"""Live playhead control, fed by the hub over OSC (/jog/rate, /jog/nudge)."""
def __init__(self, rate_min: float = 0.25, rate_max: float = 4.0):
self.rate_min, self.rate_max = rate_min, rate_max
self.rate_mult = 1.0
self.nudge = 0.0
def on_rate(self, addr, *a):
if a:
v = max(0.0, min(1.0, float(a[0])))
self.rate_mult = self.rate_min + (self.rate_max - self.rate_min) * v
def on_nudge(self, addr, *a):
if a:
self.nudge = (max(0.0, min(1.0, float(a[0]))) - 0.5) * 2.0
class ReplayBuffer:
def __init__(self, mode: str = "continuous", into_seconds: float = 300.0):
self.mode = mode
self.into = max(1.0, into_seconds) # real seconds for one full loop
self.phase = 0.0
# continuous
self._phases: list[float] = []
self._vals: list[float] = []
# event: parallel sorted lists
self._ev_phase: list[float] = []
self._ev_payload: list[dict] = []
self.loaded = False
# ---- loading -------------------------------------------------------
def load_continuous(self, times: list[float], values: list[float]):
pairs = sorted((t, v) for t, v in zip(times, values) if v is not None)
if len(pairs) < 2:
return
t0, t1 = pairs[0][0], pairs[-1][0]
span = (t1 - t0) or 1.0
self._phases = [(t - t0) / span for t, _ in pairs]
self._vals = [float(v) for _, v in pairs]
self.loaded = True
def load_events(self, events: list[dict], t_key: str = "t"):
"""events: dicts each with a time under t_key; extra fields = payload."""
evs = sorted(events, key=lambda e: e[t_key])
if len(evs) < 1:
return
t0, t1 = evs[0][t_key], evs[-1][t_key]
span = (t1 - t0) or 1.0
self._ev_phase = [(e[t_key] - t0) / span for e in evs]
self._ev_payload = evs
self.loaded = True
# ---- playback ------------------------------------------------------
def tick(self, dt: float, rate_mult: float = 1.0, nudge: float = 0.0):
"""Advance the playhead. rate_mult scales base speed; nudge is bipolar
(-1..1), a momentary platter shove. Returns crossed event payloads
(event mode) or None (continuous)."""
if not self.loaded:
return [] if self.mode == "event" else None
eff = rate_mult + nudge * NUDGE_GAIN # effective multiplier
dphase = (eff / self.into) * dt # one loop = self.into sec
# clamp a runaway single-step to at most one full loop
if dphase > 1.0:
dphase = 1.0
elif dphase < -1.0:
dphase = -1.0
p0 = self.phase
crossed = self._crossed(p0, dphase) if self.mode == "event" else None
self.phase = (p0 + dphase) % 1.0
return crossed
def current(self) -> float:
"""Interpolated value at the playhead (continuous mode)."""
if not self.loaded or not self._phases:
return 0.0
ph = self.phase
ps = self._phases
i = bisect.bisect_right(ps, ph)
if i == 0 or i >= len(ps):
# wrap segment between last and first sample
a, b = ps[-1], ps[0] + 1.0
va, vb = self._vals[-1], self._vals[0]
x = ph if ph >= ps[-1] else ph + 1.0
else:
a, b = ps[i - 1], ps[i]
va, vb = self._vals[i - 1], self._vals[i]
x = ph
f = (x - a) / (b - a) if b != a else 0.0
return va + (vb - va) * f
def _crossed(self, p0: float, dphase: float) -> list[dict]:
if dphase == 0.0:
return []
out = []
end = p0 + dphase
for ep, payload in zip(self._ev_phase, self._ev_payload):
for cand in (ep - 1.0, ep, ep + 1.0):
if dphase > 0 and p0 < cand <= end:
out.append(payload)
elif dphase < 0 and end <= cand < p0:
out.append(payload)
return out

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"""
transform.py the performance layer. The human hands on the machine.
Raw sources (planet, room, markets) are honest but mechanical. This layer lets
you *play* them live: bend, offset, freeze, or smooth a signal on the fly the
way you'd nudge a CDJ platter or lean on a pitch-bend wheel. And you can bind one
control to a whole GROUP of sources, so a single knob leans on four data streams
at once.
A Tweak sits between a source's normalized 0..1 value and the modulation matrix:
value group tweak source tweak matrix
Parameters (each live-settable by a MIDI knob, a hand sensor, or the UI):
gain multiply (0..~2) depth / "how much this source matters now"
offset add (-1..1) bias / bend / lean
invert flip (0/1) mirror the signal
freeze hold current value (0/1) "stop the planet here" (CDJ pause)
smooth 0..1 extra lag make it liquid, or snap it tight
"""
from __future__ import annotations
def _clamp01(x: float) -> float:
return 0.0 if x < 0.0 else 1.0 if x > 1.0 else x
class Tweak:
"""A live-adjustable transform on one signal (or a whole group)."""
DEFAULTS = {"gain": 1.0, "offset": 0.0, "invert": 0.0,
"freeze": 0.0, "smooth": 0.0, "mute": 0.0}
def __init__(self, spec: dict | None = None):
self.p = dict(self.DEFAULTS)
if spec:
for k, v in spec.items():
if k in self.p:
self.p[k] = float(v) if not isinstance(v, bool) else float(v)
self._held: float | None = None
self._lag: float | None = None # exponential-smoothing state
self.orbit_lfo = 1.0 # external planetary-orbit gain (hub-set)
def set(self, param: str, value: float):
if param in self.p:
self.p[param] = float(value)
@property
def active(self) -> bool:
p = self.p
return (p["gain"] != 1.0 or p["offset"] != 0.0 or p["invert"] >= 0.5
or p["freeze"] >= 0.5 or p["smooth"] > 0.0)
def apply(self, x: float) -> float:
p = self.p
# mute: silence this source/group entirely
if p["mute"] >= 0.5:
return 0.0
# freeze: hold the last emitted value (a CDJ pause on the data)
if p["freeze"] >= 0.5:
if self._held is None:
self._held = x if self._lag is None else self._lag
return self._held
self._held = None
v = (1.0 - x) if p["invert"] >= 0.5 else x
v = v * p["gain"] * self.orbit_lfo + p["offset"]
v = _clamp01(v)
s = p["smooth"]
if s > 0.0:
alpha = 1.0 - min(0.985, s * 0.985) # smooth=0 -> 1 (pass), 1 -> ~0.015
self._lag = v if self._lag is None else self._lag + alpha * (v - self._lag)
v = self._lag
else:
self._lag = v
return _clamp01(v)
class TweakBank:
"""Owns every group + per-source tweak and resolves live control bindings.
config sections:
groups: { "planet": {"members": ["weather.temp", ...], "label": "..."} }
tweaks: { "crypto.vel": {gain,offset,...}, "@planet": {gain,...} }
controls: [ { "src": "hand.open", "target": "@planet",
"param": "gain", "min": 0.2, "max": 1.3 }, ... ]
(src is any signal name a MIDI CC like "midi.cc.1", a sensor
like "hand.open", or another data source. target "@name" = group.)
"""
def __init__(self, cfg: dict):
self.groups: dict[str, Tweak] = {}
self.group_members: dict[str, list[str]] = {}
self.member_group: dict[str, str] = {}
self.source_tweaks: dict[str, Tweak] = {}
self.controls: list[dict] = list(cfg.get("controls", []))
self.group_orbit: dict[str, str] = {} # group -> planet name
tw = cfg.get("tweaks", {})
for gname, g in cfg.get("groups", {}).items():
members = g.get("members", [])
self.group_members[gname] = members
self.groups[gname] = Tweak(tw.get("@" + gname))
if g.get("orbit"):
self.group_orbit[gname] = g["orbit"]
for m in members:
self.member_group.setdefault(m, gname)
for name, spec in tw.items():
if not name.startswith("@"):
self.source_tweaks[name] = Tweak(spec)
# ensure a tweak object exists for every control target
for b in self.controls:
self._resolve(b.get("target", ""))
def _resolve(self, target: str) -> Tweak | None:
if not target:
return None
if target.startswith("@"):
name = target[1:]
return self.groups.setdefault(name, Tweak())
return self.source_tweaks.setdefault(target, Tweak())
def apply_controls(self, sources: dict[str, float]):
"""Read live control signals and push them onto tweak params."""
for b in self.controls:
cv = sources.get(b.get("src"))
if cv is None:
continue
lo, hi = b.get("min", 0.0), b.get("max", 1.0)
mapped = lo + (hi - lo) * cv
tw = self._resolve(b.get("target", ""))
if tw:
tw.set(b.get("param", "gain"), mapped)
def transform(self, sources: dict[str, float]) -> dict[str, float]:
out: dict[str, float] = {}
for name, val in sources.items():
v = val
g = self.member_group.get(name)
if g:
v = self.groups[g].apply(v)
st = self.source_tweaks.get(name)
if st:
v = st.apply(v)
out[name] = v
return out
# ---- live control from the UI (browser -> hub) --------------------
def set_param(self, target: str, param: str, value: float):
tw = self._resolve(target)
if tw:
tw.set(param, value)
def toggle(self, target: str, param: str = "mute") -> float:
tw = self._resolve(target)
if not tw:
return 0.0
cur = tw.p.get(param, 0.0)
newv = 0.0 if cur >= 0.5 else 1.0
tw.set(param, newv)
return newv
def is_muted(self, name: str) -> bool:
st = self.source_tweaks.get(name)
if st and st.p.get("mute", 0.0) >= 0.5:
return True
g = self.member_group.get(name)
return bool(g and self.groups[g].p.get("mute", 0.0) >= 0.5)
def set_orbit_lfo(self, gname: str, v: float):
tw = self.groups.get(gname)
if tw:
tw.orbit_lfo = v
def add_group(self, name: str, members: list):
"""Create/replace a group at runtime (browser multi-select -> group)."""
if not name or not members:
return
self.group_members[name] = list(members)
self.groups.setdefault(name, Tweak())
for m in members:
self.member_group[m] = name
def macros(self) -> dict:
"""Summary of group tweak state for the UI."""
return {g: {"gain": round(t.p["gain"], 3),
"offset": round(t.p["offset"], 3),
"freeze": t.p["freeze"] >= 0.5,
"mute": t.p["mute"] >= 0.5,
"orbit": self.group_orbit.get(g),
"lfo": round(t.orbit_lfo, 3)}
for g, t in self.groups.items() if g in self.group_members}

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#!/usr/bin/env python3
"""The room itself as a modulator: the crowd, sub-bass, and ambience of the live space.
Loudness, dominant pitch, brightness, and onset energy of the room become control
signals so the audience breathing, cheering, and the PA's own bass feed the machine."""
import argparse
import sys
def main():
parser = argparse.ArgumentParser(description="Godstrument audio (room) worker")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
parser.add_argument("--device", default=None,
help="optional input device index or name substring")
args = parser.parse_args()
# Lazy imports of optional hardware/DSP libs — never traceback if missing.
try:
import numpy as np
import sounddevice as sd
except Exception:
print("audio worker: numpy/sounddevice not available — skipping (optional)")
sys.exit(0)
# Resolve requested device (or None -> default). Bail gracefully if no input.
device = args.device
if device is not None:
try:
device = int(device)
except (TypeError, ValueError):
pass # leave as name substring; sounddevice resolves it
try:
dev_info = sd.query_devices(device, "input")
if dev_info.get("max_input_channels", 0) < 1:
raise ValueError("no input channels")
except Exception:
print("audio worker: numpy/sounddevice not available — skipping (optional)")
sys.exit(0)
from pythonosc.udp_client import SimpleUDPClient
SR = 44100
BLOCK = 1024
rate_hz = SR / BLOCK # ~43 Hz block rate
client = SimpleUDPClient(args.host, args.port)
# Precompute FFT helpers.
window = np.hanning(BLOCK).astype(np.float32)
freqs = np.fft.rfftfreq(BLOCK, d=1.0 / SR) # bin -> Hz
prev_mag = np.zeros(freqs.shape[0], dtype=np.float32)
print(f"[audio] emitting /gs/audio/... every {1.0 / rate_hz:.3f}s")
def send(addr, value):
try:
client.send_message(addr, float(value))
except Exception as exc:
# Local UDP send should never really fail; warn and keep going.
print(f"audio worker: OSC send failed ({exc})")
def process(block):
nonlocal prev_mag
x = block.astype(np.float32)
# RMS loudness of the raw block.
rms = float(np.sqrt(np.mean(x * x)))
# Windowed magnitude spectrum.
mag = np.abs(np.fft.rfft(x * window))
# Dominant frequency: argmax of magnitude spectrum -> Hz.
peak_bin = int(np.argmax(mag))
dom_freq = float(freqs[peak_bin])
# Spectral centroid (brightness): magnitude-weighted mean frequency.
mag_sum = float(mag.sum())
if mag_sum > 1e-9:
centroid = float(np.sum(freqs * mag) / mag_sum)
else:
centroid = 0.0
# Spectral flux: sum of positive changes vs previous frame.
diff = mag - prev_mag
flux = float(np.sum(diff[diff > 0]))
prev_mag = mag
send("/gs/audio/rms", rms)
send("/gs/audio/freq", dom_freq)
send("/gs/audio/centroid", centroid)
send("/gs/audio/flux", flux)
def callback(indata, frames, time_info, status):
# status may flag overflows; we ignore and keep streaming.
try:
# Mix down to mono if needed.
if indata.ndim > 1 and indata.shape[1] > 1:
mono = indata.mean(axis=1)
else:
mono = indata.reshape(-1)
process(mono)
except Exception as exc:
print(f"audio worker: block error ({exc})")
# Reconnect forever: if the stream drops (device unplugged, xrun storm),
# back off and try to reopen. Never exit on a transient error.
import time
backoff = 1.0
while True:
try:
with sd.InputStream(samplerate=SR, blocksize=BLOCK, channels=1,
dtype="float32", device=device, callback=callback):
backoff = 1.0 # healthy stream, reset backoff
while True:
sd.sleep(1000)
except KeyboardInterrupt:
break
except Exception as exc:
print(f"audio worker: stream error ({exc}); retrying in {backoff:.0f}s")
time.sleep(backoff)
backoff = min(backoff * 2, 30.0)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""MIDI worker: your Ableton pad controller / keyboard — the tactile core of the rig.
Human touch (knobs, pads, keys) is the most expressive input on stage; CCs become
smooth continuous modulators and note velocity fires as percussive event magnitude.
"""
import argparse
import sys
def main():
parser = argparse.ArgumentParser(description="Forward MIDI input to Godstrument OSC hub.")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
parser.add_argument("--portname", default=None,
help="Substring to match a specific MIDI input port.")
args = parser.parse_args()
# Lazy import — this worker is optional. Never traceback if mido is missing.
try:
import mido
except Exception:
print("midi worker: mido/no MIDI input — skipping (optional)")
sys.exit(0)
# Find an input port.
try:
inputs = mido.get_input_names()
except Exception:
print("midi worker: mido/no MIDI input — skipping (optional)")
sys.exit(0)
if not inputs:
print("midi worker: mido/no MIDI input — skipping (optional)")
sys.exit(0)
portname = inputs[0]
if args.portname:
matches = [p for p in inputs if args.portname.lower() in p.lower()]
if matches:
portname = matches[0]
else:
print("midi worker: mido/no MIDI input — skipping (optional)")
sys.exit(0)
from pythonosc.udp_client import SimpleUDPClient
client = SimpleUDPClient(args.host, args.port)
print("[midi] emitting /gs/midi/... every 0s (event-driven)")
# Loop forever over the input port. Reopen on transient failure.
while True:
try:
with mido.open_input(portname) as inport:
for msg in inport:
try:
if msg.type == "control_change":
addr = "/gs/midi/cc/{}".format(msg.control)
client.send_message(addr, float(msg.value) / 127.0)
elif msg.type == "note_on" and msg.velocity > 0:
client.send_message("/gs/midi/note/event",
float(msg.velocity))
except Exception as e:
print("midi worker: send warning: {}".format(e))
except Exception as e:
# Device unplugged / transient error — warn, back off, reconnect forever.
print("midi worker: input warning: {} — reconnecting".format(e))
try:
import time
time.sleep(2.0)
fresh = mido.get_input_names()
if fresh:
if args.portname:
m = [p for p in fresh if args.portname.lower() in p.lower()]
portname = m[0] if m else fresh[0]
else:
portname = fresh[0]
except Exception:
pass
if __name__ == "__main__":
main()

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"""
replay_db.py replay your own recorded history, warped and scratchable.
Reads any window of any recorded signals from godstrument.db (written by
recorder.py) and plays them back compressed on a loop, jog-scrubbable like the
other replay workers. Unlike replay_quakes/replay_weather, this isn't limited to
feeds with a public history API it can replay YOUR hand, the room mic, the ToF
sensor, anything the recorder captured. The instrument replaying itself.
# replay last 24h of weather + solar wind, compressed into 5 min
python workers/replay_db.py --signals weather.temp,weather.wind,sun.speed --window last:24h
# replay a specific past set (your recorded performance) compressed into 3 min
python workers/replay_db.py --signals tof.cx,tof.cy,audio.rms \\
--start 2026-07-04T21:00 --end 2026-07-04T23:30 --into 180
"""
from __future__ import annotations
import argparse
import datetime
import os
import sqlite3
import sys
import threading
import time
from pythonosc.udp_client import SimpleUDPClient
from pythonosc.dispatcher import Dispatcher
from pythonosc.osc_server import ThreadingOSCUDPServer
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from timewarp import ReplayBuffer, Jog
HERE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
def parse_window(window, start, end):
if window and window.startswith("last:"):
spec = window[5:]
mult = {"h": 3600, "d": 86400, "m": 60}.get(spec[-1], 3600)
secs = float(spec[:-1]) * mult
now = time.time()
return now - secs, now
to_ts = lambda s: datetime.datetime.fromisoformat(s).timestamp()
return (to_ts(start) if start else time.time() - 86400,
to_ts(end) if end else time.time())
def osc_addr(signal: str) -> str:
return "/gs/" + signal.replace(".", "/")
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--jog-port", type=int, default=9103)
ap.add_argument("--db", default=os.path.join(HERE, "godstrument.db"))
ap.add_argument("--signals", default="weather.temp,weather.wind,sun.speed",
help="comma-separated signal names to replay")
ap.add_argument("--window", default="last:24h", help="e.g. last:24h / last:3d")
ap.add_argument("--start", help="ISO time (overrides --window)")
ap.add_argument("--end", help="ISO time")
ap.add_argument("--into", type=float, default=300.0, help="loop length (s)")
args = ap.parse_args()
t0, t1 = parse_window(args.window, args.start, args.end)
con = sqlite3.connect(args.db)
signals = [s.strip() for s in args.signals.split(",") if s.strip()]
cont: dict[str, ReplayBuffer] = {}
evt: dict[str, ReplayBuffer] = {}
for sig in signals:
if sig.endswith(".event"):
rows = con.execute("SELECT t, mag FROM events WHERE signal=? "
"AND t BETWEEN ? AND ? ORDER BY t",
(sig.rsplit(".", 1)[0], t0, t1)).fetchall()
if rows:
b = ReplayBuffer("event", args.into)
b.load_events([{"t": r[0], "mag": r[1]} for r in rows])
evt[sig] = b
else:
rows = con.execute("SELECT t, v FROM samples WHERE signal=? "
"AND t BETWEEN ? AND ? ORDER BY t",
(sig, t0, t1)).fetchall()
if len(rows) >= 2:
b = ReplayBuffer("continuous", args.into)
b.load_continuous([r[0] for r in rows], [r[1] for r in rows])
cont[sig] = b
span_h = (t1 - t0) / 3600
have = list(cont) + list(evt)
if not have:
print(f"[replay_db] no recorded data for {signals} in that window. "
f"Record some first with: run.py --record")
return
print(f"[replay_db] replaying {have}{span_h:.1f}h -> loop {args.into:g}s "
f"(jog udp/{args.jog_port})")
client = SimpleUDPClient(args.host, args.port)
jog = Jog()
disp = Dispatcher()
disp.map("/jog/rate", jog.on_rate)
disp.map("/jog/nudge", jog.on_nudge)
srv = ThreadingOSCUDPServer(("127.0.0.1", args.jog_port), disp)
threading.Thread(target=srv.serve_forever, daemon=True).start()
period = 1.0 / 40.0
while True:
for sig, b in cont.items():
b.tick(period, jog.rate_mult, jog.nudge)
client.send_message(osc_addr(sig), float(b.current()))
for sig, b in evt.items():
for _ in b.tick(period, jog.rate_mult, jog.nudge) or []:
client.send_message(osc_addr(sig), 1.0)
time.sleep(period)
if __name__ == "__main__":
main()

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"""
replay_quakes.py a month of the Earth, scratchable.
Fetches every earthquake above a magnitude over the past N days from USGS, then
replays them compressed onto a loop (default: 26 days -> 5 minutes) so the
planet's seismicity becomes a repeating rhythm. Listens on a jog port so the hub
can push the playhead forward/back like a CDJ platter.
Drop-in replacement for world_quakes.py emits the same /gs/quake/* addresses.
"""
from __future__ import annotations
import argparse
import datetime
import json
import threading
import time
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
from pythonosc.dispatcher import Dispatcher
from pythonosc.osc_server import ThreadingOSCUDPServer
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from timewarp import ReplayBuffer
UA = "Godstrument/1.0 (live instrument)"
class Jog:
"""Live playhead control, fed by the hub over OSC."""
def __init__(self, rate_min=0.25, rate_max=4.0):
self.rate_min, self.rate_max = rate_min, rate_max
self.rate_mult = 1.0
self.nudge = 0.0
def on_rate(self, addr, *a):
if a:
v = max(0.0, min(1.0, float(a[0])))
self.rate_mult = self.rate_min + (self.rate_max - self.rate_min) * v
def on_nudge(self, addr, *a):
if a:
self.nudge = (max(0.0, min(1.0, float(a[0]))) - 0.5) * 2.0
def fetch(days: int, minmag: float) -> list[dict]:
start = (datetime.datetime.now(datetime.timezone.utc)
- datetime.timedelta(days=days)).strftime("%Y-%m-%d")
url = ("https://earthquake.usgs.gov/fdsnws/event/1/query?format=geojson"
f"&starttime={start}&minmagnitude={minmag}&orderby=time&limit=800")
req = urllib.request.Request(url, headers={"User-Agent": UA})
with urllib.request.urlopen(req, timeout=30) as r:
data = json.load(r)
out = []
for f in data.get("features", []):
p, g = f["properties"], f["geometry"]
if p.get("mag") is None or not g:
continue
c = g["coordinates"]
out.append({"t": p["time"] / 1000.0, "mag": float(p["mag"]),
"depth": float(c[2]), "lat": float(c[1]), "lon": float(c[0]),
"place": p.get("place", "")})
return out
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--jog-port", type=int, default=9101)
ap.add_argument("--days", type=int, default=26)
ap.add_argument("--into", type=float, default=300.0, help="loop length (s)")
ap.add_argument("--minmag", type=float, default=4.5)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
buf = ReplayBuffer(mode="event", into_seconds=args.into)
jog = Jog()
while not buf.loaded:
try:
events = fetch(args.days, args.minmag)
buf.load_events(events)
print(f"[replay_quakes] {len(events)} quakes over {args.days}d "
f"-> looping every {args.into:g}s (jog udp/{args.jog_port})")
except Exception as e: # noqa
print(f"[replay_quakes] fetch failed ({e}); retrying in 10s")
time.sleep(10)
disp = Dispatcher()
disp.map("/jog/rate", jog.on_rate)
disp.map("/jog/nudge", jog.on_nudge)
srv = ThreadingOSCUDPServer(("127.0.0.1", args.jog_port), disp)
threading.Thread(target=srv.serve_forever, daemon=True).start()
period = 1.0 / 60.0
while True:
crossed = buf.tick(period, jog.rate_mult, jog.nudge)
for e in crossed or []:
client.send_message("/gs/quake/event", e["mag"])
client.send_message("/gs/quake/depth", e["depth"])
client.send_message("/gs/quake/lat", e["lat"])
client.send_message("/gs/quake/lon", e["lon"])
time.sleep(period)
if __name__ == "__main__":
main()

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"""
replay_weather.py days of sky, sweeping past in minutes.
Fetches hourly weather history for the venue from Open-Meteo's archive, then
replays it compressed onto a loop (default: 7 days -> 4 minutes) so slow weather
finally moves fast enough to shape a track. Jog-scrubbable like the quake replay.
Drop-in replacement for world_weather.py emits the same /gs/weather/* addresses
(temp, wind, precip, pressure, humidity) as smoothly interpolated sweeps.
"""
from __future__ import annotations
import argparse
import datetime
import json
import threading
import time
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
from pythonosc.dispatcher import Dispatcher
from pythonosc.osc_server import ThreadingOSCUDPServer
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from timewarp import ReplayBuffer
UA = "Godstrument/1.0 (live instrument)"
FIELDS = {
"temperature_2m": "temp",
"wind_speed_10m": "wind",
"precipitation": "precip",
"surface_pressure": "pressure",
"relative_humidity_2m": "humidity",
}
class Jog:
def __init__(self, rate_min=0.25, rate_max=4.0):
self.rate_min, self.rate_max = rate_min, rate_max
self.rate_mult = 1.0
self.nudge = 0.0
def on_rate(self, addr, *a):
if a:
v = max(0.0, min(1.0, float(a[0])))
self.rate_mult = self.rate_min + (self.rate_max - self.rate_min) * v
def on_nudge(self, addr, *a):
if a:
self.nudge = (max(0.0, min(1.0, float(a[0]))) - 0.5) * 2.0
def fetch(lat: float, lon: float, days: int):
end = datetime.datetime.now(datetime.timezone.utc).date()
start = end - datetime.timedelta(days=days)
hourly = ",".join(FIELDS.keys())
url = ("https://archive-api.open-meteo.com/v1/archive"
f"?latitude={lat}&longitude={lon}"
f"&start_date={start}&end_date={end}&hourly={hourly}")
req = urllib.request.Request(url, headers={"User-Agent": UA})
with urllib.request.urlopen(req, timeout=30) as r:
data = json.load(r)
h = data["hourly"]
n = len(h["time"])
times = list(range(n)) # uniform hourly index is fine for phase mapping
return times, {out: h.get(api, []) for api, out in FIELDS.items()}
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--jog-port", type=int, default=9102)
ap.add_argument("--lat", type=float, default=35.68)
ap.add_argument("--lon", type=float, default=139.69)
ap.add_argument("--days", type=int, default=7)
ap.add_argument("--into", type=float, default=240.0, help="loop length (s)")
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
jog = Jog()
bufs: dict[str, ReplayBuffer] = {}
while not bufs:
try:
times, series = fetch(args.lat, args.lon, args.days)
for name, vals in series.items():
b = ReplayBuffer(mode="continuous", into_seconds=args.into)
b.load_continuous(times, vals)
if b.loaded:
bufs[name] = b
print(f"[replay_weather] {len(times)}h of weather ({args.lat},{args.lon}) "
f"-> looping every {args.into:g}s (jog udp/{args.jog_port})")
except Exception as e: # noqa
print(f"[replay_weather] fetch failed ({e}); retrying in 10s")
time.sleep(10)
disp = Dispatcher()
disp.map("/jog/rate", jog.on_rate)
disp.map("/jog/nudge", jog.on_nudge)
srv = ThreadingOSCUDPServer(("127.0.0.1", args.jog_port), disp)
threading.Thread(target=srv.serve_forever, daemon=True).start()
period = 1.0 / 30.0
while True:
for name, b in bufs.items():
b.tick(period, jog.rate_mult, jog.nudge)
client.send_message(f"/gs/weather/{name}", float(b.current()))
time.sleep(period)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""Simulated ESP32 sensor rig: a virtual hand gliding over a VL53L5CX ToF matrix
plus a BH1750 ambient-light cell. It is musical because the smooth Lissajous
motion gives the visualizer a living, breathing performer to react to before any
real hardware exists hand position and light become continuous playable knobs.
"""
import argparse
import math
import random
import time
from pythonosc.udp_client import SimpleUDPClient
NAME = "sim_esp32"
RATE_HZ = 60.0
DT = 1.0 / RATE_HZ
def clamp(v, lo, hi):
return lo if v < lo else hi if v > hi else v
def main():
ap = argparse.ArgumentParser(description="Simulate the future ESP32 ToF + light sensor rig.")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
# A fixed phase offset so multiple instances don't march in lockstep.
seed = random.random() * 1000.0
t0 = time.time()
# Schedule the first simulated flash 8-20s out.
next_flash = t0 + random.uniform(8.0, 20.0)
print(f"[{NAME}] emitting /gs/tof/*, /gs/light/* every {DT:.4f}s")
while True:
try:
now = time.time()
t = (now - t0) + seed
# --- Hand X/Y: sums of a few sines at irrational-ish rates + slow drift.
# Lissajous-feel motion, never white noise. Kept smoothly inside 0..1.
cx = (
0.50
+ 0.30 * math.sin(t * 0.31700)
+ 0.12 * math.sin(t * 0.71300 + 1.3)
+ 0.06 * math.sin(t * 1.61803 + 2.1) # golden-ratio wobble
)
cy = (
0.50
+ 0.28 * math.sin(t * 0.27100 + 0.7)
+ 0.13 * math.sin(t * 0.61800 + 2.4) # 1/phi
+ 0.05 * math.sin(t * 1.41421 + 0.2) # sqrt(2)
)
# --- Proximity: slow breathing in/out, hand drifting toward/away.
near = (
0.50
+ 0.35 * math.sin(t * 0.19000)
+ 0.10 * math.sin(t * 0.53000 + 1.1)
)
# --- Ambient light: drifts in the hundreds of lux, with slow occasional dips.
base = 500.0 + 250.0 * math.sin(t * 0.041 + 0.5) + 90.0 * math.sin(t * 0.113 + 2.0)
# A slow, mostly-shallow dip that deepens rarely (raising to a power keeps it near 1
# most of the time and only occasionally sinks toward a shadow).
dip = 0.55 + 0.45 * math.sin(t * 0.023 + 1.7)
dip = clamp(dip, 0.0, 1.0) ** 3 # mostly bright, sometimes dark
lux = clamp(base * (0.35 + 0.65 * dip), 0.0, 1000.0)
client.send_message("/gs/tof/cx", clamp(cx, 0.0, 1.0))
client.send_message("/gs/tof/cy", clamp(cy, 0.0, 1.0))
client.send_message("/gs/tof/near", clamp(near, 0.0, 1.0))
client.send_message("/gs/light/lux", lux)
# --- Occasional strobe/camera flash event.
if now >= next_flash:
client.send_message("/gs/light/flash/event", 1.0)
next_flash = now + random.uniform(8.0, 20.0)
except OSError as e:
# Transient network/socket hiccup: warn, back off briefly, keep going forever.
print(f"[{NAME}] send failed ({e}); retrying")
time.sleep(0.5)
continue
time.sleep(DT)
if __name__ == "__main__":
main()

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"""Your body, tracked by the webcam: MediaPipe Hands turns a bare hand in the air
into a five-dimensional control gesture (position, depth, openness, velocity).
It's musical because the hand is the oldest instrument — pitch bends, filter sweeps,
and swells all fall naturally out of where your hand is and how fast it moves.
"""
import argparse
import math
import sys
import time
def main():
parser = argparse.ArgumentParser(description="Godstrument vision worker (webcam hand tracking).")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
parser.add_argument("--camera", type=int, default=0, help="webcam index")
args = parser.parse_args()
# Lazy import of optional hardware/CV libs. MediaPipe often lacks a wheel for
# bleeding-edge Python; fail gracefully so the rest of the rig runs.
try:
import cv2
import mediapipe as mp
except Exception:
print("vision worker: mediapipe/opencv not available — skipping (optional)")
sys.exit(0)
from pythonosc.udp_client import SimpleUDPClient
client = SimpleUDPClient(args.host, args.port)
print("[vision] emitting /gs/hand/... every ~0.033s")
mp_hands = mp.solutions.hands
# MediaPipe Hands landmark indices we use.
WRIST = 0
INDEX_TIP = 8
MIDDLE_MCP = 9 # middle-finger base ~ palm center reference
def emit(addr, value):
# Never let a transient socket hiccup kill the loop.
try:
client.send_message(addr, float(value))
except Exception as exc:
print(f"vision worker: OSC send failed ({exc}); continuing")
# Reconnect-forever outer loop: camera unplug / driver hiccup / MediaPipe crash
# all bounce back here with backoff instead of exiting.
backoff = 1.0
while True:
cap = None
try:
cap = cv2.VideoCapture(args.camera)
if not cap or not cap.isOpened():
print(f"vision worker: cannot open camera {args.camera}; retrying in {backoff:.0f}s")
time.sleep(backoff)
backoff = min(backoff * 2, 30.0)
continue
backoff = 1.0 # camera is up
prev_x = None
prev_y = None
with mp_hands.Hands(
model_complexity=0,
max_num_hands=1,
min_detection_confidence=0.5,
min_tracking_confidence=0.5,
) as hands:
while True:
ok, frame = cap.read()
if not ok or frame is None:
print("vision worker: dropped frame / camera lost; reopening")
break # bounce to outer loop to reopen camera
# MediaPipe wants RGB.
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
rgb.flags.writeable = False
result = hands.process(rgb)
if result.multi_hand_landmarks:
lm = result.multi_hand_landmarks[0].landmark
wrist = lm[WRIST]
tip = lm[INDEX_TIP]
palm = lm[MIDDLE_MCP]
# Position: normalized landmark coords are already 0..1.
x = min(max(tip.x, 0.0), 1.0)
y = min(max(tip.y, 0.0), 1.0)
# Depth: MediaPipe z is roughly relative to the wrist,
# negative = closer to camera. Map to a friendly 0..1.
z_raw = tip.z
z = min(max((z_raw + 0.15) / 0.30, 0.0), 1.0)
# Openness: distance from index tip to wrist, normalized by
# hand span (wrist->palm base) so it's scale-invariant.
span = math.dist((wrist.x, wrist.y), (palm.x, palm.y)) or 1e-6
reach = math.dist((tip.x, tip.y), (wrist.x, wrist.y))
openness = min(max(reach / (span * 2.5), 0.0), 1.0)
# Velocity: frame-to-frame motion magnitude of the tip,
# in normalized units, clamped to 0..1.
if prev_x is None:
vel = 0.0
else:
vel = math.dist((x, y), (prev_x, prev_y))
vel = min(vel * 5.0, 1.0)
prev_x, prev_y = x, y
emit("/gs/hand/x", x)
emit("/gs/hand/y", y)
emit("/gs/hand/z", z)
emit("/gs/hand/open", openness)
emit("/gs/hand/vel", vel)
else:
# No hand: reset velocity reference so re-entry isn't a jump.
prev_x = None
prev_y = None
# ~30fps pacing.
time.sleep(0.033)
except KeyboardInterrupt:
print("vision worker: shutting down")
break
except Exception as exc:
print(f"vision worker: pipeline error ({exc}); retrying in {backoff:.0f}s")
time.sleep(backoff)
backoff = min(backoff * 2, 30.0)
finally:
try:
if cap is not None:
cap.release()
except Exception:
pass
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""A city's pollution turned into audible grit and glitch.
Real-time PM2.5/PM10/US-AQI from Open-Meteo's air-quality API for a chosen city.
Dirtier air -> more grit; spikes glitch the signal chain. Delhi by default.
"""
import argparse
import json
import time
import urllib.request
import urllib.error
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_air"
POLL = 300.0 # seconds between API polls (respect the source)
REEMIT = 5.0 # re-emit last known values this often
USER_AGENT = "Godstrument/1.0 (+worker world_air)"
URL = ("https://air-quality-api.open-meteo.com/v1/air-quality"
"?latitude={lat}&longitude={lon}&current=pm2_5,pm10,us_aqi")
def fetch(lat, lon):
"""Return (pm25, pm10, aqi) as floats, or None on any failure."""
url = URL.format(lat=lat, lon=lon)
req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=20) as resp:
data = json.loads(resp.read().decode("utf-8"))
cur = data["current"]
pm25 = float(cur["pm2_5"])
pm10 = float(cur["pm10"])
aqi = float(cur["us_aqi"])
return pm25, pm10, aqi
def main():
ap = argparse.ArgumentParser(description="Air-quality -> OSC grit worker.")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--lat", type=float, default=28.61, help="latitude (default Delhi)")
ap.add_argument("--lon", type=float, default=77.20, help="longitude (default Delhi)")
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[{NAME}] emitting /gs/air/... every {int(REEMIT)}s")
last = None # (pm25, pm10, aqi) once we have a reading
next_poll = 0.0 # poll immediately on startup
backoff = 5.0
while True:
now = time.monotonic()
if now >= next_poll:
try:
last = fetch(args.lat, args.lon)
next_poll = now + POLL
backoff = 5.0
except (urllib.error.URLError, urllib.error.HTTPError,
OSError, ValueError, KeyError, TypeError) as e:
print(f"[{NAME}] poll failed ({e}); retrying in {backoff:.0f}s")
next_poll = now + backoff
backoff = min(backoff * 2, POLL)
if last is not None:
pm25, pm10, aqi = last
try:
client.send_message("/gs/air/pm25", float(pm25))
client.send_message("/gs/air/pm10", float(pm10))
client.send_message("/gs/air/aqi", float(aqi))
except OSError as e:
print(f"[{NAME}] OSC send failed ({e}); continuing")
time.sleep(REEMIT)
if __name__ == "__main__":
main()

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"""
world_almanac.py the planting calendar. Sowing by the moon.
For millennia people planted by an almanac: the moon's phase and the zodiac sign
it's passing through told you what to sow. It's not fetched data it's computed
from the same sky world_ephemeris uses. The zodiac's four elements cycle in a
fixed order (fire, earth, air, water), and biodynamic tradition maps them to a
crop type a slow four-step sequencer the moon walks through, changing every
~2.25 days:
earth signs -> ROOT days water signs -> LEAF days
air signs -> FLOWER days fire signs -> FRUIT/SEED days
Musically it's a modal calendar: the instrument's character can follow the moon
through the garden.
Emits:
/gs/almanac/element 0..1 stepped the day's element (root/leaf/flower/fruit)
/gs/almanac/waxing 1 waxing (sow above-ground), 0 waning (sow roots)
/gs/almanac/dec 0..1 Moon's declination (ascending/descending, ~27.3d)
/gs/almanac/fertile 0..1 a simple biodynamic favourability score
"""
from __future__ import annotations
import argparse
import datetime
import math
import time
import swisseph as swe
from pythonosc.udp_client import SimpleUDPClient
FLG = swe.FLG_MOSEPH | swe.FLG_SPEED
# element index by sign (Aries..Pisces): fire,earth,air,water repeating.
# biodynamic crop: 0 fire=fruit, 1 earth=root, 2 air=flower, 3 water=leaf
ELEMENTS = ["fruit", "root", "flower", "leaf"]
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--interval", type=float, default=30.0)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[almanac] emitting /gs/almanac/* (root/leaf/flower/fruit by the moon) "
f"every {args.interval:g}s")
last_label = None
while True:
try:
now = datetime.datetime.now(datetime.timezone.utc)
jd = swe.julday(now.year, now.month, now.day,
now.hour + now.minute / 60 + now.second / 3600)
moon, _ = swe.calc_ut(jd, swe.MOON, FLG)
sun, _ = swe.calc_ut(jd, swe.SUN, FLG)
eq, _ = swe.calc_ut(jd, swe.MOON,
swe.FLG_MOSEPH | swe.FLG_EQUATORIAL | swe.FLG_SPEED)
sign = int(moon[0] // 30) % 12
elem = sign % 4 # 0 fire,1 earth,2 air,3 water
phase_angle = (moon[0] - sun[0]) % 360
waxing = 1.0 if phase_angle < 180 else 0.0
illum = (1 - math.cos(math.radians(phase_angle))) / 2
dec = eq[1] # Moon declination (deg)
dec01 = max(0.0, min(1.0, (dec + 28.5) / 57.0))
ascending = 1.0 if eq[4] > 0 else 0.0
fertile = 0.45 * illum + 0.35 * ascending + 0.20 * (1.0 if elem in (1, 3) else 0.0)
client.send_message("/gs/almanac/element", elem / 3.0)
client.send_message("/gs/almanac/waxing", waxing)
client.send_message("/gs/almanac/dec", dec01)
client.send_message("/gs/almanac/fertile", fertile)
label = ELEMENTS[elem]
if label != last_label:
print(f" 🌱 {label} day (moon in sign {sign + 1}, "
f"{'waxing' if waxing else 'waning'}, "
f"{'ascending' if ascending else 'descending'})")
last_label = label
except Exception as e: # noqa
print(f"[almanac] warn: {e}")
time.sleep(args.interval)
if __name__ == "__main__":
main()

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"""
world_clock.py the human tide. Births, deaths, and the raw velocity of us.
There is no live feed of every birth and death on Earth, so like a world
population clock this MODELS them from published global vital rates and lets
them breathe with a gentle diurnal swell. It is honest about being a model, not
a measurement. Musically it's a steady, slow-moving velocity: perfect for note
density, drone weight, or the brightness/darkness of a track.
Emits:
/gs/clock/births births per second (~4.3, breathing)
/gs/clock/deaths deaths per second (~2.0, breathing)
/gs/clock/popvel net population growth per second (births - deaths)
/gs/clock/pop running world population estimate
"""
from __future__ import annotations
import argparse
import datetime
import math
import time
from pythonosc.udp_client import SimpleUDPClient
# published global approximations (mid-2020s)
BIRTHS_PER_SEC = 4.3
DEATHS_PER_SEC = 2.0
POP_BASE = 8_200_000_000 # ~mid-2026
POP_BASE_EPOCH = 1_751_328_000 # 2025-07-01 UTC, seconds
def diurnal(t_utc: float, amp: float) -> float:
"""A slow ±amp sway over 24h so the numbers feel alive, not flat."""
frac = (t_utc % 86400) / 86400.0
return 1.0 + amp * math.sin(2 * math.pi * frac)
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--interval", type=float, default=1.0)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print("[clock] emitting /gs/clock/births|deaths|popvel|pop every "
f"{args.interval:g}s (modelled)")
while True:
try:
t = time.time()
births = BIRTHS_PER_SEC * diurnal(t, 0.06)
deaths = DEATHS_PER_SEC * diurnal(t + 21600, 0.05) # offset phase
popvel = births - deaths
pop = POP_BASE + (t - POP_BASE_EPOCH) * (BIRTHS_PER_SEC - DEATHS_PER_SEC)
client.send_message("/gs/clock/births", float(births))
client.send_message("/gs/clock/deaths", float(deaths))
client.send_message("/gs/clock/popvel", float(popvel))
client.send_message("/gs/clock/pop", float(pop))
except Exception as e: # noqa
print(f"[clock] warn: {e}")
time.sleep(args.interval)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""BTC/USD live trade ticks from Binance — the fastest, most chaotic source.
Every sub-second trade fires the market's pulse; price-to-price velocity is raw
volatility you can hear, driving rhythm and jitter in the modulation matrix.
"""
import argparse
import asyncio
import json
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_crypto"
WS_URL = "wss://stream.binance.com:9443/ws/btcusdt@trade"
REST_URL = "https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT"
POLL_S = 2.0 # REST fallback poll interval
USER_AGENT = "godstrument/1.0 (+world_crypto)"
def emit(client, last_price, price):
"""Send price + tick-to-tick velocity. Returns the new last_price."""
client.send_message("/gs/crypto/price", float(price))
vel = 0.0 if last_price is None else abs(price - last_price)
client.send_message("/gs/crypto/vel", float(vel))
return price
async def run_websocket(client):
"""Stream trades over the websocket. Returns True if it ever connected
(so the caller keeps favoring the socket), False if it never connected
(so the caller can fall back to REST)."""
import websockets # part of the required stack; import here to keep top clean
ever_connected = False
last_price = None
async with websockets.connect(WS_URL, ping_interval=20, ping_timeout=20) as ws:
ever_connected = True
async for raw in ws:
try:
msg = json.loads(raw)
price = float(msg["p"])
except (ValueError, KeyError, TypeError):
continue # malformed / non-trade frame; skip
last_price = emit(client, last_price, price)
return ever_connected
async def poll_rest(client):
"""Fallback: poll the REST ticker forever at POLL_S. Never returns."""
last_price = None
loop = asyncio.get_running_loop()
while True:
try:
def fetch():
req = urllib.request.Request(REST_URL, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=10) as resp:
return json.loads(resp.read().decode())
data = await loop.run_in_executor(None, fetch)
price = float(data["price"])
last_price = emit(client, last_price, price)
except Exception as e: # transient network / parse error — keep going
print(f"[{NAME}] REST poll error: {e}; retrying")
await asyncio.sleep(POLL_S)
async def main():
parser = argparse.ArgumentParser(description="Binance BTCUSDT trade ticks -> OSC")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
args = parser.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[{NAME}] emitting /gs/crypto/price,/gs/crypto/vel every <1s (ws) / {POLL_S:g}s (rest)")
backoff = 1.0
rest_only = False
while True:
if rest_only:
# We could not open the socket at all; stay on REST but keep
# occasionally retrying the socket by resetting the flag on error.
try:
await poll_rest(client)
except Exception as e:
print(f"[{NAME}] REST loop error: {e}; retrying")
await asyncio.sleep(POLL_S)
continue
try:
await run_websocket(client)
# Clean disconnect (stream ended): reconnect quickly.
print(f"[{NAME}] websocket closed; reconnecting")
backoff = 1.0
except Exception as e:
print(f"[{NAME}] websocket error: {e}; backoff {backoff:g}s")
await asyncio.sleep(backoff)
backoff = min(backoff * 2, 30.0)
# If we have never managed to connect, drop to REST fallback,
# but keep trying the socket periodically via a bounded retry.
if backoff >= 8.0 and not rest_only:
print(f"[{NAME}] websocket unreachable; falling back to REST polling")
rest_only = True
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
pass

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"""
world_dealgod.py your own market as an instrument. The dealgod feed.
Reads price history straight out of the basegod warehouse (dealgod.price_events,
~4M rows) on the M1 Ultra over the tailnet, bins it into an activity curve and an
average-price curve, and replays them compressed on a loop your deal-flow as a
control source, warpable and jog-scrubbable like the other time-warp workers.
READ-ONLY: it issues a single SELECT (server-side GROUP BY does the work) over
SSH as johnking. No writes ever touch the master. Point --ssh at a host with
dashboard_ro if you want strict least-privilege networked access instead.
Emits:
/gs/market/velocity normalized market activity (price events per time bin)
/gs/market/turnover normalized average price of what's moving
"""
from __future__ import annotations
import argparse
import os
import subprocess
import sys
import threading
import time
from pythonosc.udp_client import SimpleUDPClient
from pythonosc.dispatcher import Dispatcher
from pythonosc.osc_server import ThreadingOSCUDPServer
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from timewarp import ReplayBuffer, Jog
PSQL = "/opt/homebrew/opt/postgresql@16/bin/psql"
# quote-free SQL (make_interval / to_timestamp avoid single quotes over ssh)
QUERY = (
"SELECT extract(epoch from bucket), cnt, avgp FROM ("
"SELECT date_bin(make_interval(mins=>{binmin}), scraped_at, to_timestamp(0)) AS bucket, "
"count(*) AS cnt, avg(price) FILTER (WHERE price BETWEEN 0 AND 100000) AS avgp "
"FROM price_events WHERE scraped_at > now() - make_interval(days => {days}) "
"GROUP BY bucket ORDER BY bucket) s"
)
def fetch(ssh_host, days, binmin):
sql = QUERY.format(days=days, binmin=binmin)
remote = f'{PSQL} -d dealgod -tA -F"|" -c "{sql}"'
r = subprocess.run(
["ssh", "-o", "BatchMode=yes", "-o", "ConnectTimeout=10", ssh_host, remote],
capture_output=True, text=True, timeout=45)
rows = []
for line in r.stdout.splitlines():
p = line.split("|")
if len(p) >= 3 and p[0]:
try:
rows.append((float(p[0]), float(p[1]), float(p[2] or 0)))
except ValueError:
pass
return rows, r.stderr.strip()
def normalize(vals):
lo, hi = min(vals), max(vals)
return [((v - lo) / (hi - lo) if hi > lo else 0.5) for v in vals]
def build(rows, into):
times = [r[0] for r in rows]
vel = ReplayBuffer("continuous", into)
vel.load_continuous(times, normalize([r[1] for r in rows]))
turn = ReplayBuffer("continuous", into)
turn.load_continuous(times, normalize([r[2] for r in rows]))
return vel, turn
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--jog-port", type=int, default=9104)
ap.add_argument("--ssh", default="johnking@100.91.239.7")
ap.add_argument("--days", type=int, default=7)
ap.add_argument("--binmin", type=int, default=15, help="minutes per bin")
ap.add_argument("--into", type=float, default=300.0, help="loop length (s)")
ap.add_argument("--refresh", type=float, default=900.0, help="re-query every Ns")
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
jog = Jog()
state = {"vel": None, "turn": None}
def load():
rows, err = fetch(args.ssh, args.days, args.binmin)
if len(rows) >= 2:
vel, turn = build(rows, args.into)
state["vel"], state["turn"] = vel, turn
span = (rows[-1][0] - rows[0][0]) / 86400
print(f"[dealgod] {len(rows)} bins over {span:.1f}d "
f"-> loop {args.into:g}s (jog udp/{args.jog_port})")
else:
print(f"[dealgod] no data ({err or 'empty'}); retrying")
load()
while state["vel"] is None:
time.sleep(10)
load()
disp = Dispatcher()
disp.map("/jog/rate", jog.on_rate)
disp.map("/jog/nudge", jog.on_nudge)
srv = ThreadingOSCUDPServer(("127.0.0.1", args.jog_port), disp)
threading.Thread(target=srv.serve_forever, daemon=True).start()
last_refresh = time.time()
period = 1.0 / 30.0
while True:
v, t = state["vel"], state["turn"]
if v and t:
v.tick(period, jog.rate_mult, jog.nudge)
t.tick(period, jog.rate_mult, jog.nudge)
client.send_message("/gs/market/velocity", float(v.current()))
client.send_message("/gs/market/turnover", float(t.current()))
if time.time() - last_refresh > args.refresh:
last_refresh = time.time()
threading.Thread(target=load, daemon=True).start()
time.sleep(period)
if __name__ == "__main__":
main()

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"""
world_ephemeris.py as above, so below. The sky itself, as control signals.
Computes real planetary positions with the Swiss Ephemeris (Moshier mode NO
data files, no downloads, good from 3000 BC to 3000 AD). Nothing is stored or
fetched; the whole sky is generated on demand, like world_sky.py does for the
sun. Astrology data is ideal for an instrument because it's inherently cyclic at
wildly different rates the Moon wheels monthly, the Sun yearly, Saturn every 29
years so you get a bank of natural LFOs spanning seconds to a lifetime.
Emits (all normalized-friendly):
/gs/astro/moon moon phase, 0 (new) .. 1 (full)
/gs/astro/moon_lon Moon ecliptic longitude 0..360 (fast wheel ~13deg/day)
/gs/astro/sun_lon Sun longitude 0..360 (the seasons)
/gs/astro/<planet> ecliptic longitude 0..360 for mercury..saturn (slow LFOs)
/gs/astro/tension closeness to HARD aspects (square/opposition) dissonance
/gs/astro/harmony closeness to SOFT aspects (trine/sextile) consonance
/gs/astro/retro fraction of planets retrograde 0..1
/gs/astro/mercury_retro 1 if Mercury is retrograde else 0
"""
from __future__ import annotations
import argparse
import datetime
import itertools
import math
import time
import swisseph as swe
from pythonosc.udp_client import SimpleUDPClient
FLG = swe.FLG_MOSEPH | swe.FLG_SPEED
BODIES = {
"sun": swe.SUN, "moon": swe.MOON, "mercury": swe.MERCURY, "venus": swe.VENUS,
"mars": swe.MARS, "jupiter": swe.JUPITER, "saturn": swe.SATURN,
"uranus": swe.URANUS, "neptune": swe.NEPTUNE, "pluto": swe.PLUTO,
}
# which longitudes are worth emitting as sources (the rest still feed aspects)
EMIT_LON = ["moon", "sun", "mercury", "venus", "mars", "jupiter", "saturn"]
HARD = [(0, 8), (180, 8), (90, 7)] # conjunction/opposition/square + orbs
SOFT = [(120, 7), (60, 5)] # trine/sextile
def sky(jd):
lon, speed = {}, {}
for name, body in BODIES.items():
xx, _ = swe.calc_ut(jd, body, FLG)
lon[name], speed[name] = xx[0], xx[3]
return lon, speed
def aspects(lon):
hard = soft = 0.0
for a, b in itertools.combinations(lon, 2):
d = abs(lon[a] - lon[b]) % 360
d = min(d, 360 - d)
for ang, orb in HARD:
if abs(d - ang) < orb:
hard += 1 - abs(d - ang) / orb
for ang, orb in SOFT:
if abs(d - ang) < orb:
soft += 1 - abs(d - ang) / orb
return hard, soft
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--interval", type=float, default=20.0)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[ephemeris] emitting /gs/astro/* (Swiss Ephemeris, no files) "
f"every {args.interval:g}s")
while True:
try:
now = datetime.datetime.now(datetime.timezone.utc)
jd = swe.julday(now.year, now.month, now.day,
now.hour + now.minute / 60 + now.second / 3600)
lon, speed = sky(jd)
phase_angle = (lon["moon"] - lon["sun"]) % 360
illum = (1 - math.cos(math.radians(phase_angle))) / 2
client.send_message("/gs/astro/moon", float(illum))
for name in EMIT_LON:
addr = "moon_lon" if name == "moon" else \
"sun_lon" if name == "sun" else name
client.send_message(f"/gs/astro/{addr}", float(lon[name]))
hard, soft = aspects(lon)
client.send_message("/gs/astro/tension", float(hard))
client.send_message("/gs/astro/harmony", float(soft))
retro = [n for n, s in speed.items() if s < 0 and n != "moon"]
client.send_message("/gs/astro/retro", len(retro) / len(BODIES))
client.send_message("/gs/astro/mercury_retro",
1.0 if speed["mercury"] < 0 else 0.0)
except Exception as e: # noqa
print(f"[ephemeris] warn: {e}")
time.sleep(args.interval)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""ISS live position -> control signals. The space station's motion drifts the timbre.
It circles Earth every ~90 min at ~7.66 km/s; lat/lon sweep continuously while the
computed ground speed wobbles gently around orbital velocity -> a slow, living modulator.
"""
import argparse
import json
import math
import time
import urllib.request
import urllib.error
from pythonosc.udp_client import SimpleUDPClient
URL = "http://api.open-notify.org/iss-now.json"
USER_AGENT = "godstrument-iss/1.0"
EARTH_RADIUS_M = 6371000.0
def haversine_m(lat1, lon1, lat2, lon2):
"""Great-circle ground distance in meters between two lat/lon points."""
p1 = math.radians(lat1)
p2 = math.radians(lat2)
dphi = math.radians(lat2 - lat1)
dlam = math.radians(lon2 - lon1)
a = math.sin(dphi / 2) ** 2 + math.cos(p1) * math.cos(p2) * math.sin(dlam / 2) ** 2
return 2 * EARTH_RADIUS_M * math.asin(math.sqrt(a))
def fetch():
req = urllib.request.Request(URL, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=10) as resp:
data = json.loads(resp.read().decode("utf-8"))
pos = data["iss_position"]
return float(pos["latitude"]), float(pos["longitude"])
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--interval", type=float, default=5.0)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[world_iss] emitting /gs/iss/lat,lon,vel every {args.interval:g}s")
prev = None # (lat, lon)
prev_t = None # monotonic timestamp of prev fix
smooth_vel = None # exponentially smoothed ground speed (m/s)
backoff = args.interval
while True:
try:
lat, lon = fetch()
now = time.monotonic()
client.send_message("/gs/iss/lat", float(lat))
client.send_message("/gs/iss/lon", float(lon))
if prev is not None and prev_t is not None:
dt = now - prev_t
if dt > 0:
dist = haversine_m(prev[0], prev[1], lat, lon)
vel = dist / dt # m/s ground speed
if smooth_vel is None:
smooth_vel = vel
else:
smooth_vel = 0.6 * smooth_vel + 0.4 * vel
client.send_message("/gs/iss/vel", float(smooth_vel))
prev = (lat, lon)
prev_t = now
backoff = args.interval
except (urllib.error.URLError, OSError, ValueError, KeyError, json.JSONDecodeError) as e:
print(f"[world_iss] warning: {e}; retrying in {backoff:g}s")
time.sleep(backoff)
backoff = min(backoff * 2, 60.0)
continue
time.sleep(args.interval)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""A swarm of real aircraft over a patch of sky, turned into a drone.
OpenSky live states give a count (thickness), mean altitude (pitch/register),
and mean groundspeed (intensity) the sky's traffic becomes a slow chord.
"""
import argparse
import json
import sys
import time
import urllib.error
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_planes"
API = "https://opensky-network.org/api/states/all"
UA = "Godstrument/1.0 (live instrument; contact monsterrobotparty@gmail.com)"
POLL_OK = 30.0 # normal poll interval (s)
POLL_429 = 120.0 # backoff poll interval after HTTP 429
REEMIT = 10.0 # re-emit last values every 10s
def fetch(bbox, timeout=25):
"""Fetch OpenSky states for the bbox. Returns parsed JSON dict.
Raises urllib.error.HTTPError so the caller can detect 429.
"""
s, w, n, e = bbox
url = f"{API}?lamin={s}&lomin={w}&lamax={n}&lomax={e}"
req = urllib.request.Request(url, headers={"User-Agent": UA})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read().decode("utf-8"))
def reduce_states(data):
"""Compute (count, mean_alt, mean_speed) from a states payload.
index 7 = geo_altitude (m, may be null), index 9 = velocity (m/s, may be null).
Nulls are ignored in the means. Returns floats; means are 0.0 when no data.
"""
states = (data or {}).get("states") or []
count = float(len(states))
alts = []
speeds = []
for row in states:
if not row:
continue
alt = row[7] if len(row) > 7 else None
spd = row[9] if len(row) > 9 else None
if alt is not None:
try:
alts.append(float(alt))
except (TypeError, ValueError):
pass
if spd is not None:
try:
speeds.append(float(spd))
except (TypeError, ValueError):
pass
avgalt = sum(alts) / len(alts) if alts else 0.0
avgspeed = sum(speeds) / len(speeds) if speeds else 0.0
return count, avgalt, avgspeed
def parse_bbox(text):
parts = [p.strip() for p in text.split(",")]
if len(parts) != 4:
raise argparse.ArgumentTypeError('--bbox must be "s,w,n,e"')
try:
return tuple(float(p) for p in parts)
except ValueError:
raise argparse.ArgumentTypeError("--bbox values must be numbers")
def main():
ap = argparse.ArgumentParser(description="OpenSky aircraft swarm -> OSC drone")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--bbox", type=parse_bbox, default=(45.0, 0.0, 52.0, 10.0),
help='Bounding box "s,w,n,e" (default Western Europe)')
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
poll = POLL_OK
print(f"[{NAME}] emitting /gs/planes/count,/gs/planes/avgalt,/gs/planes/avgspeed every {POLL_OK:.0f}s")
# Last known values, re-emitted every REEMIT seconds between polls.
last = None # (count, avgalt, avgspeed)
next_poll = 0.0
while True:
now = time.monotonic()
if now >= next_poll:
try:
data = fetch(args.bbox)
last = reduce_states(data)
if poll != POLL_OK:
print(f"[{NAME}] recovered; back to {POLL_OK:.0f}s poll")
poll = POLL_OK
except urllib.error.HTTPError as ex:
if ex.code == 429:
poll = POLL_429
print(f"[{NAME}] HTTP 429 rate limited; backing off to {POLL_429:.0f}s")
else:
print(f"[{NAME}] HTTP {ex.code}; retrying in {poll:.0f}s")
except (urllib.error.URLError, TimeoutError, OSError,
json.JSONDecodeError, ValueError) as ex:
print(f"[{NAME}] fetch error: {ex}; retrying in {poll:.0f}s")
next_poll = time.monotonic() + poll
# Emit (or re-emit) the last known values.
if last is not None:
count, avgalt, avgspeed = last
try:
client.send_message("/gs/planes/count", float(count))
client.send_message("/gs/planes/avgalt", float(avgalt))
client.send_message("/gs/planes/avgspeed", float(avgspeed))
except OSError as ex:
print(f"[{NAME}] OSC send error: {ex}")
time.sleep(REEMIT)
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
sys.exit(0)

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#!/usr/bin/env python3
"""Live global seismic activity from the USGS earthquake feed.
Every real earthquake on Earth in the last hour fires a percussive "event" whose
magnitude, depth, and location become musical: the planet playing itself as a drum.
"""
import argparse
import json
import sys
import time
import urllib.request
import urllib.error
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_quakes"
FEED_URL = "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson"
POLL_SECONDS = 60
USER_AGENT = "Godstrument/1.0 (live instrument; contact monsterrobotparty@gmail.com)"
def fetch_feed():
"""Fetch and parse the USGS GeoJSON feed. Returns the parsed dict or None on failure."""
req = urllib.request.Request(FEED_URL, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=30) as resp:
raw = resp.read()
return json.loads(raw)
def main():
parser = argparse.ArgumentParser(description="Emit live USGS earthquakes as OSC.")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
args = parser.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[{NAME}] emitting /gs/quake/... every {POLL_SECONDS}s")
seen = set()
first_poll = True
backoff = 5
while True:
try:
data = fetch_feed()
backoff = 5 # reset backoff after a good fetch
except (urllib.error.URLError, urllib.error.HTTPError, OSError, ValueError) as e:
print(f"[{NAME}] warning: fetch failed ({e}); retrying in {backoff}s")
time.sleep(backoff)
backoff = min(backoff * 2, POLL_SECONDS)
continue
features = data.get("features") or []
if first_poll:
# Record existing quakes but do NOT fire them (no startup burst).
for feat in features:
fid = feat.get("id")
if fid is not None:
seen.add(fid)
first_poll = False
else:
for feat in features:
fid = feat.get("id")
if fid is None or fid in seen:
continue
seen.add(fid)
props = feat.get("properties") or {}
mag = props.get("mag")
if mag is None:
continue # skip quakes with no magnitude
place = props.get("place") or "unknown location"
geom = feat.get("geometry") or {}
coords = geom.get("coordinates") or [None, None, None]
lon = coords[0] if len(coords) > 0 else None
lat = coords[1] if len(coords) > 1 else None
depth = coords[2] if len(coords) > 2 else None
try:
client.send_message("/gs/quake/event", float(mag))
if depth is not None:
client.send_message("/gs/quake/depth", float(depth))
if lat is not None:
client.send_message("/gs/quake/lat", float(lat))
if lon is not None:
client.send_message("/gs/quake/lon", float(lon))
except (OSError, ValueError, TypeError) as e:
print(f"[{NAME}] warning: OSC send failed ({e})")
continue
depth_str = f"{depth:.0f}km" if depth is not None else "?km"
print(f" quake M{float(mag):.1f} {place} (depth {depth_str})")
time.sleep(POLL_SECONDS)
if __name__ == "__main__":
main()

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"""
world_sky.py the local sky over the venue, as a slow LFO.
Computes the sun's elevation above the horizon at a given latitude/longitude and
the current instant, using the NOAA solar-position algorithm. No network, no API
key, never rate-limited just astronomy. This is the most place-specific signal
in the whole instrument: playing Brisbane at 2am sounds nothing like London at
sunset, because the sun is literally somewhere else in the sky.
Emits:
/gs/sky/elev solar elevation in degrees (-90 night .. +90 overhead)
/gs/sky/day 0..1 smooth day/night (0 deep night, 1 broad daylight)
/gs/sky/az solar azimuth in degrees (0=N, 90=E, 180=S, 270=W)
"""
from __future__ import annotations
import argparse
import datetime
import math
import time
from pythonosc.udp_client import SimpleUDPClient
def solar_position(lat: float, lon: float, when: datetime.datetime):
"""Return (elevation_deg, azimuth_deg) for lat/lon at UTC time `when`."""
n = when.timetuple().tm_yday
hour = when.hour + when.minute / 60 + when.second / 3600
g = 2 * math.pi / 365 * (n - 1 + (hour - 12) / 24) # fractional year
eqtime = 229.18 * (0.000075 + 0.001868 * math.cos(g)
- 0.032077 * math.sin(g) - 0.014615 * math.cos(2 * g)
- 0.040849 * math.sin(2 * g)) # minutes
decl = (0.006918 - 0.399912 * math.cos(g) + 0.070257 * math.sin(g)
- 0.006758 * math.cos(2 * g) + 0.000907 * math.sin(2 * g)
- 0.002697 * math.cos(3 * g) + 0.00148 * math.sin(3 * g)) # radians
time_offset = eqtime + 4 * lon # minutes (E +)
tst = hour * 60 + time_offset # true solar time
ha = math.radians(tst / 4 - 180) # hour angle
lat_r = math.radians(lat)
cos_zen = (math.sin(lat_r) * math.sin(decl)
+ math.cos(lat_r) * math.cos(decl) * math.cos(ha))
cos_zen = max(-1.0, min(1.0, cos_zen))
zen = math.acos(cos_zen)
elev = 90 - math.degrees(zen)
# azimuth
sin_az = -math.sin(ha) * math.cos(decl)
cos_az = (math.sin(decl) - math.sin(lat_r) * math.cos(zen)) / \
(math.cos(lat_r) * math.sin(zen) + 1e-9)
az = (math.degrees(math.atan2(sin_az, cos_az)) + 360) % 360
return elev, az
def day_fraction(elev: float) -> float:
"""Smooth 0..1 across the twilight band (civil dusk .. full day)."""
return max(0.0, min(1.0, (elev + 6.0) / 18.0))
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--lat", type=float, default=-27.47, help="latitude (default Brisbane)")
ap.add_argument("--lon", type=float, default=153.02, help="longitude (default Brisbane)")
ap.add_argument("--interval", type=float, default=10.0)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[sky] emitting /gs/sky/elev|day|az for ({args.lat},{args.lon}) "
f"every {args.interval:g}s")
while True:
try:
elev, az = solar_position(args.lat, args.lon,
datetime.datetime.now(datetime.timezone.utc))
client.send_message("/gs/sky/elev", float(elev))
client.send_message("/gs/sky/day", day_fraction(elev))
client.send_message("/gs/sky/az", float(az))
except Exception as e: # noqa
print(f"[sky] warn: {e}")
time.sleep(args.interval)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""The actual solar wind hitting Earth right now, opening the master filter — playing the sun.
NOAA SWPC reports live proton speed (km/s) of the solar wind stream; a faster gust is a
brighter, more open sound. The star's mood becomes the master filter cutoff."""
import argparse
import json
import time
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_sun"
URL = "https://services.swpc.noaa.gov/products/summary/solar-wind-speed.json"
POLL_INTERVAL = 60.0 # seconds between API polls (be kind to NOAA)
REEMIT_INTERVAL = 5.0 # re-fire last known value this often
UA = "Godstrument/1.0 (world_sun worker; +https://github.com/godstrument)"
def fetch_speed():
"""Fetch current solar-wind proton speed (km/s). Returns float or None on failure."""
req = urllib.request.Request(URL, headers={"User-Agent": UA})
with urllib.request.urlopen(req, timeout=15) as resp:
data = json.load(resp)
# Response is a JSON list; take [0]["proton_speed"].
return float(data[0]["proton_speed"])
def main():
ap = argparse.ArgumentParser(description="Emit live solar-wind speed as OSC.")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[{NAME}] emitting /gs/sun/speed every {int(REEMIT_INTERVAL)}s")
last_value = None
last_poll = 0.0
backoff = 5.0
while True:
now = time.monotonic()
# Poll the API at most once per POLL_INTERVAL.
if now - last_poll >= POLL_INTERVAL or last_value is None:
try:
last_value = fetch_speed()
last_poll = now
backoff = 5.0 # reset backoff on success
except Exception as e:
print(f"[{NAME}] fetch failed: {e}; retrying in {backoff:.0f}s")
time.sleep(backoff)
backoff = min(backoff * 2, 120.0)
continue
# Re-emit last known value.
try:
client.send_message("/gs/sun/speed", float(last_value))
except Exception as e:
print(f"[{NAME}] send failed: {e}")
time.sleep(REEMIT_INTERVAL)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""The live sky over a chosen city (default Tokyo) breathing into the pads.
Temperature, wind, rain, barometric pressure and humidity become slow control
signals -- weather is inherently musical: it drifts, swells, and never repeats.
"""
import argparse
import json
import sys
import time
import urllib.error
import urllib.request
from pythonosc.udp_client import SimpleUDPClient
NAME = "world_weather"
POLL_INTERVAL = 300.0 # seconds between real API polls
REEMIT_INTERVAL = 5.0 # seconds between re-emitting last known values
USER_AGENT = "Godstrument/1.0 (world_weather worker)"
# open-meteo "current" key -> OSC address suffix
FIELDS = {
"temperature_2m": "/gs/weather/temp",
"wind_speed_10m": "/gs/weather/wind",
"precipitation": "/gs/weather/precip",
"surface_pressure": "/gs/weather/pressure",
"relative_humidity_2m": "/gs/weather/humidity",
}
def fetch_current(lat, lon):
"""Fetch the 'current' block from open-meteo. Returns a dict or None."""
params = ",".join(FIELDS.keys())
url = (
"https://api.open-meteo.com/v1/forecast"
f"?latitude={lat}&longitude={lon}&current={params}"
)
req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=20) as resp:
data = json.loads(resp.read().decode("utf-8"))
return data.get("current") or {}
def main():
ap = argparse.ArgumentParser(description="Weather -> OSC control signals.")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=9000)
ap.add_argument("--lat", type=float, default=35.68, help="latitude (default Tokyo)")
ap.add_argument("--lon", type=float, default=139.69, help="longitude (default Tokyo)")
args = ap.parse_args()
client = SimpleUDPClient(args.host, args.port)
print(f"[{NAME}] emitting /gs/weather/... every {int(REEMIT_INTERVAL)}s")
last = {} # OSC address -> last known float
next_poll = 0.0 # poll immediately on first loop
backoff = 5.0 # network retry backoff, grows on repeated failure
while True:
now = time.monotonic()
if now >= next_poll:
try:
current = fetch_current(args.lat, args.lon)
for key, addr in FIELDS.items():
if key in current and current[key] is not None:
last[addr] = float(current[key])
next_poll = now + POLL_INTERVAL
backoff = 5.0
except (urllib.error.URLError, OSError, ValueError, json.JSONDecodeError) as e:
print(f"[{NAME}] poll failed: {e}; retry in {backoff:.0f}s")
next_poll = now + backoff
backoff = min(backoff * 2, POLL_INTERVAL)
# Re-emit last known values so downstream signals stay live.
for addr, value in last.items():
try:
client.send_message(addr, value)
except OSError as e:
print(f"[{NAME}] send failed on {addr}: {e}")
time.sleep(REEMIT_INTERVAL)
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
sys.exit(0)

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#!/usr/bin/env python3
"""Every human edit to Wikipedia on Earth, right now, as one live pulse.
The Wikimedia recentchange SSE firehose is a chaotic global stream of edits;
each edit's byte-delta becomes a percussive glitch and the edits/sec is a
breathing tempo the collective heartbeat of humanity writing itself down.
"""
import argparse
import json
import time
import urllib.request
from collections import deque
from pythonosc.udp_client import SimpleUDPClient
STREAM_URL = "https://stream.wikimedia.org/v2/stream/recentchange"
USER_AGENT = "Godstrument/1.0 (live instrument; monsterrobotparty@gmail.com)"
MAX_EVENTS_PER_SEC = 30 # throttle emitted /event messages
RATE_EMIT_INTERVAL = 1.0 # emit /gs/wiki/rate about once per second
RATE_WINDOW = 5.0 # rolling window (s) for edits-per-second
def run(host, port):
client = SimpleUDPClient(host, port)
print(f"[world_wiki] emitting /gs/wiki/... every ~1s", flush=True)
backoff = 1.0
# rolling timestamps of ALL counted edits (for edits-per-second)
edit_times = deque()
# timestamps of emitted /event messages within the current second (throttle)
emit_window = deque()
last_rate_emit = time.monotonic()
while True:
try:
req = urllib.request.Request(STREAM_URL, headers={"User-Agent": USER_AGENT})
with urllib.request.urlopen(req, timeout=60) as resp:
backoff = 1.0 # connected cleanly, reset backoff
for raw in resp:
line = raw.decode("utf-8", "replace").rstrip("\n")
# SSE: a "data: " line carries the JSON payload.
if line.startswith("data: "):
payload = line[6:]
try:
change = json.loads(payload)
except (ValueError, TypeError):
continue
if change.get("type") in ("edit", "new"):
length = change.get("length") or {}
new = length.get("new")
old = length.get("old")
if new is not None and old is not None:
edit_size = abs(int(new) - int(old))
else:
edit_size = 0
now = time.monotonic()
edit_times.append(now)
# Throttle emitted events to ~MAX_EVENTS_PER_SEC.
while emit_window and now - emit_window[0] >= 1.0:
emit_window.popleft()
if len(emit_window) < MAX_EVENTS_PER_SEC:
try:
client.send_message("/gs/wiki/edit/event", float(edit_size))
emit_window.append(now)
except OSError as exc:
print(f"[world_wiki] OSC send failed: {exc}", flush=True)
# A blank line ends an SSE event; use this beat to
# trim the rolling window and emit the rate.
now = time.monotonic()
while edit_times and now - edit_times[0] >= RATE_WINDOW:
edit_times.popleft()
if now - last_rate_emit >= RATE_EMIT_INTERVAL:
span = min(RATE_WINDOW, max(now - last_rate_emit, 1e-6))
rate = len(edit_times) / span if edit_times else 0.0
try:
client.send_message("/gs/wiki/rate", float(rate))
except OSError as exc:
print(f"[world_wiki] OSC send failed: {exc}", flush=True)
last_rate_emit = now
# Stream ended without error; loop to reconnect.
print("[world_wiki] stream closed, reconnecting...", flush=True)
except Exception as exc: # noqa: BLE401 — never die on a transient error
print(f"[world_wiki] stream error: {exc}; retrying in {backoff:.0f}s", flush=True)
time.sleep(backoff)
backoff = min(backoff * 2, 30.0)
def main():
parser = argparse.ArgumentParser(description="Wikipedia recentchange SSE -> OSC")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=9000)
args = parser.parse_args()
run(args.host, args.port)
if __name__ == "__main__":
main()