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---
name: create-custom-viewer
description: Create a custom JavaScript viewer extending DG.JsViewer with properties and rendering
when-to-use: When user asks to create a viewer, chart, visualization, or custom rendering component
context: fork
effort: high
argument-hint: "[viewer-name] [package-path]"
---
# Create a Custom Viewer
Help the user develop a custom interactive viewer for Datagrok by extending `DG.JsViewer`.
## Usage
```
/create-custom-viewer [viewer-name] [--library <d3|echarts|plotly>]
```
## Instructions
### 1. Scaffold the viewer
From the package directory:
```shell
grok add viewer <ViewerName>
```
This creates a viewer class file. The naming convention is to add a `Viewer` postfix to the class name (e.g., `AwesomeViewer`).
### 2. Define the viewer class
Create a subclass of `DG.JsViewer` in a separate file (e.g., `src/awesome-viewer.ts`):
```typescript
import * as DG from 'datagrok-api/dg';
import * as ui from 'datagrok-api/ui';
export class AwesomeViewer extends DG.JsViewer {
constructor() {
super();
// Register properties (appear in the context panel)
this.splitColumnName = this.string('splitColumnName', 'site');
this.valueColumnName = this.int('valueColumnName', 'age');
this.valueAggrType = this.string('valueAggrType', 'avg', { choices: ['avg', 'count', 'sum'] });
this.color = this.string('color', 'steelblue', { choices: ['darkcyan', 'seagreen', 'steelblue'] });
this.initialized = false;
}
onTableAttached() {
this.init();
this.subs.push(DG.debounce(this.dataFrame.selection.onChanged, 50).subscribe((_) => this.render()));
this.subs.push(DG.debounce(this.dataFrame.filter.onChanged, 50).subscribe((_) => this.render()));
this.subs.push(DG.debounce(ui.onSizeChanged(this.root), 50).subscribe((_) => this.render(false)));
this.render();
}
detach() {
this.subs.forEach(sub => sub.unsubscribe());
}
onPropertyChanged(property) {
super.onPropertyChanged(property);
if (this.initialized)
this.render();
}
render(computeData = true) {
// Rendering logic here
}
}
```
### 3. Register the viewer
In `src/package.ts`, add the annotated function:
```typescript
import {AwesomeViewer} from './awesome-viewer';
//name: AwesomeViewer
//description: Creates an awesome viewer
//tags: viewer
//meta.icon: images/icon.svg
//meta.toolbox: true
//meta.trellisable: true
//output: viewer result
export function awesome() {
return new AwesomeViewer();
}
```
Or use the decorator approach (requires datagrok-tools >= 4.12.x):
```typescript
@grok.decorators.viewer({
icon: 'images/icon.png',
toolbox: true,
})
export class AwesomeViewer extends DG.JsViewer { /* ... */ }
```
### 4. Property types and naming conventions
Available property types in the constructor:
- `this.int(name, defaultValue, options)` -- integer
- `this.float(name, defaultValue, options)` -- floating point
- `this.string(name, defaultValue, options)` -- string
- `this.stringList(name, defaultValue, options)` -- string array
- `this.bool(name, defaultValue, options)` -- boolean
- `this.dateTime(name, defaultValue, options)` -- datetime
Property grouping in the UI is determined by naming:
- `Data` tab: properties ending with `ColumnName`
- `Colors` tab: properties ending with `color`
- `Axes` tab: properties containing `axis`
- `Legend` tab: properties starting with `legend`
- `Margins` tab: properties containing `margin`
- `Misc` tab: everything else
A viewer registered with `//meta.trellisable: true` can also name the properties that belong on the
trellis plot's control panel — the strip beside the inner-viewer selector, where a scatter plot
offers X, Y, Color and Size:
```typescript
get trellisProperties(): string[] { return ['mergeColumnSeries', 'logX', 'logY']; }
```
The first four are shown, in the order given, and unknown names are skipped. A viewer that declares
none gets no strip; its properties are still editable in the context panel, under a tab named after
the viewer.
### 5. Data preparation with filter support
Always respect the dataframe filter when preparing data:
```typescript
render(computeData = true) {
if (computeData) {
this.data.length = 0;
this.aggregatedTable = this.dataFrame
.groupBy([this.splitColumnName])
.whereRowMask(this.dataFrame.filter)
.add(this.valueAggrType, this.valueColumnName, 'result')
.aggregate();
// Process aggregated data...
}
// Render using this.root as the container
}
```
### 6. Events and interactivity
Add tooltips and selection handling to visual elements:
```typescript
// Row group tooltips on hover
element.on('mouseover', (event, d) => ui.tooltip.showRowGroup(this.dataFrame, i => {
return d.category === this.dataFrame.getCol(this.splitColumnName).get(i);
}, event.x, event.y));
element.on('mouseout', () => ui.tooltip.hide());
// Selection on click
element.on('mousedown', (event, d) => {
this.dataFrame.selection.handleClick(i => {
return d.category === this.dataFrame.getCol(this.splitColumnName).get(i);
}, event);
});
```
### 7. External dependencies
Add libraries (e.g., D3, ECharts) to `package.json` dependencies. Do NOT add platform-provided externals (datagrok-api, rxjs, cash-dom, dayjs, wu, openchemlib/full) to your bundle.
### 8. Build and test
```shell
npm run build
grok publish dev
```
Test with: `grok.shell.addTableView(grok.data.demo.demog()).addViewer('AwesomeViewer');`
## Behavior
- Ask for the viewer name and what it should visualize if not specified.
- Always include filter and selection event subscriptions for proper interactivity.
- Add subscriptions to `this.subs` so they are cleaned up when the viewer is detached.
- Use `DG.debounce` on frequently firing events (selection, filter, resize) for performance.
- Separate data computation from rendering to avoid recomputing on resize.
- Follow Datagrok coding conventions: no excessive comments, no curly brackets for one-line if/for, catch/else-if on new line.
- Suggest the decorator approach for registration when using datagrok-tools >= 4.12.x.