Five additional reference docs covering common TD use cases that were not yet documented in any reference (operators.md lists the ops, but no usage patterns). - external-data.md: webDAT, webclientDAT, webserverDAT, websocketDAT, mqttClientDAT, serialDAT, tcpipDAT — auth, polling, push, JSON parsing - panel-ui.md: custom parameter pages, button/slider/field/list COMPs, containerCOMP layouts, panelExecuteDAT callbacks - replicator.md: replicatorCOMP for data-driven cloning, per-row overrides, recreatemissing pattern, replicator vs Python loop - dat-scripting.md: full Execute DAT family — chopExecuteDAT, datExecuteDAT, parameterExecuteDAT, panelExecuteDAT, opExecuteDAT, executeDAT lifecycle - 3d-scene.md: light types, three-point rigs, shadows, IBL/cubemaps, PBR materials with idiom table, multi-camera, DOF Same conventions as existing refs: code-first, verify param names with td_get_par_info, no token-budget impact (load on demand).
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Replicator COMP Reference
The replicatorCOMP clones a template operator N times, driven by a table of data. The fundamental TD pattern for data-driven networks: button grids, scene rosters, dynamic UI, parameter panels per-channel.
For visual instancing (per-pixel/per-render copies), see geometry-comp.md. Replicator builds NETWORK NODES; instancing builds RENDER COPIES. Different layer.
Concept
[Template OP] [Data tableDAT]
│ │
└─────→ replicatorCOMP ←───────┘
│
▼
[N clones], one per data row
Each clone gets per-row params
Edit the template once → all clones inherit. Edit the table → clones add/remove dynamically. Push parameter overrides per-row.
Minimal Setup
# 1. Make a template (the thing to clone)
template = root.create(buttonCOMP, 'btn_template')
template.par.w = 80; template.par.h = 80
template.par.text = 'X'
template.par.bgcolorr = 0.2
# 2. Make a data table (one row per clone)
data = root.create(tableDAT, 'scene_data')
data.appendRow(['name', 'color_r', 'color_g', 'color_b'])
data.appendRow(['Sunset', 1.0, 0.4, 0.0])
data.appendRow(['Midnight', 0.0, 0.1, 0.4])
data.appendRow(['Storm', 0.3, 0.3, 0.5])
data.appendRow(['Forest', 0.0, 0.5, 0.2])
# 3. Replicator — points at template + data
rep = root.create(replicatorCOMP, 'scene_buttons')
rep.par.template = template.path
rep.par.opfromdat = data.path
rep.par.namefromdatname = 'name' # use 'name' column for clone names
rep.par.incrementalnumbering = False
After cooking, the replicator creates 4 child COMPs named Sunset, Midnight, Storm, Forest (one per non-header row), each cloned from btn_template.
Per-Row Parameter Overrides
The replicator's docked replicator1_callbacks DAT lets you customize each clone:
def onReplicate(comp, allOps, newOps, template, master):
"""Called once per replicate cycle. newOps is the list of just-created clones."""
data = op('scene_data')
for i, clone in enumerate(newOps):
row = i + 1 # +1 to skip header
clone.par.text = data[row, 'name'].val
clone.par.bgcolorr = float(data[row, 'color_r'].val)
clone.par.bgcolorg = float(data[row, 'color_g'].val)
clone.par.bgcolorb = float(data[row, 'color_b'].val)
return
Or use parameter expressions referencing digits (the per-clone index, available as a built-in expression token inside the cloned subtree):
# Inside the template, set a param expression like:
# par.value0.expr = "op('../scene_data')[me.digits + 1, 'value']"
me.digits resolves to the row index of the current clone. This is the cleanest way for static reference patterns — no callback needed.
Layout: Buttons in a Grid
Drop the replicator inside a containerCOMP with auto-layout:
panel = root.create(containerCOMP, 'scene_panel')
panel.par.w = 400; panel.par.h = 100
panel.par.align = 'lefttoright'
# Move the replicator inside
rep.parent = panel.path # or create rep as a child of panel directly
Each clone is a child of the replicator (which itself is a child of the panel). The panel auto-arranges everything.
For a 2D grid, set par.align = 'fillresize' on the container and override par.x / par.y per clone in the callback based on row/col index.
Updating Without Rebuilding
When the data table changes, the replicator regenerates the clones. By default it destroys and recreates everything. To preserve state, set:
rep.par.recreatemissing = True # only add/remove changed rows
rep.par.recreateallonchange = False
This pattern is essential for live-edit scenarios (designer adjusts table, network keeps running).
For incremental data ingestion (e.g., from a webDAT polling an API), have a datExecuteDAT watch the response, parse, write to the data table, and the replicator self-updates.
Common Patterns
Scene Roster (Data → Buttons + Logic)
# Data per scene: name, file path, audio track, BPM
scene_data.appendRow(['name', 'file', 'audio', 'bpm'])
scene_data.appendRow(['Intro', '/scenes/intro.tox', '/audio/intro.wav', 110])
scene_data.appendRow(['Main', '/scenes/main.tox', '/audio/main.wav', 128])
# Replicator clones a buttonCOMP per scene
# Each button's onClick callback loads the corresponding tox + cues audio
Dynamic Parameter Panel
For a list of audio bands, generate a fader strip per band:
# Data: band names (sub, low, mid, hi-mid, high, air)
# Template: containerCOMP with label + sliderCOMP
# Replicator clones N strips
# Each slider's value is read at /audio_eq/{band_name}/fader
Procedural Visual Network
Build a multi-channel visual network from a config file:
# Data: which TOPs to chain, per "scene"
# Template: a baseCOMP with placeholder children
# Replicator builds one baseCOMP per scene; each scene contains a custom chain
# Switch between scenes via switchTOP.par.index driven by panel
Per-Channel CHOP Display
Visualize each channel of a multi-channel CHOP separately:
# Data table: one row per channel (auto-extracted via choptodatDAT)
# Template: a small chopVis COMP showing one channel
# Replicator generates N visualizers stacked vertically
Replicator vs. Pure Python Loop
| Approach | When to use |
|---|---|
| replicatorCOMP | The set of clones changes (add/remove rows live). Visual editor expectations. Pattern is reusable across projects. |
Python loop (in td_execute_python) |
One-shot generation. Static set. Simpler logic, no template overhead. Faster to write. |
If you'll only ever build the network once, prefer a Python loop with td_execute_python. The replicator earns its weight when data is live.
Pitfalls
- Header row —
tableDATrows are 0-indexed. If you have a header, your first data row is index 1. Off-by-one bugs are common in callbacks. namefromdatnamecolumn missing — replicator silently usesdigits(numeric suffix) names. Buttons end up named1,2,3instead of meaningful names. Setpar.namefromdatnameexplicitly.- Template lives in network — the template OP is itself a real network node. Don't connect things downstream of it directly; connect to the clones (or use a
nullCOMPbetween). - Recreate-on-change wipes state — toggles, slider positions, and uncached data inside clones are lost on each regeneration. Use
recreatemissingto preserve. onReplicatedoesn't fire on edit — only fires when the clone set changes. Editing a value WITHIN an existing row doesn't re-trigger. UseparameterExecuteDATor expressions for per-cell live updates.- Custom params on clones — pages added in the template propagate. Pages added in
onReplicatedon't survive the next regeneration. Always add custom pages on the template, not the clone. - Cooking storms — adding many rows fast triggers many clone events. Bundle adds via Python and call
data.cook(force=True)once at the end. me.digitsoutside replicator children —me.digitsonly resolves inside an op that's a descendant of the replicator. Don't reference it in unrelated networks.- Cross-clone references — referencing a sibling clone via relative path works from inside a clone (
op('../OtherClone/x')), but breaks if names change. Prefer absolute paths via the data table.
Quick Recipes
| Goal | Setup |
|---|---|
| 8-button scene picker | tableDAT (8 rows) + buttonCOMP template + replicatorCOMP |
| Per-band EQ strip panel | tableDAT (band names) + container template (label + slider) + replicator |
| Data-driven visual scenes | tableDAT (scene config) + baseCOMP template (visual chain) + replicator |
| Live-updating clone set | Same as above + par.recreatemissing = True |
| Per-row colored UI | Data table with color cols, onReplicate callback sets per-clone colors |
| List from API response | webDAT → datExecuteDAT parses JSON → writes to data table → replicator updates |