--- myst: html_meta: "description": "Volto add-ons development training module 6, cell renderer" "property=og:description": "Volto add-ons development training module 6" "property=og:title": "Volto add-ons development cell renderer" "keywords": "Volto" --- # Make the block extensible Wouldn't it be nice if we could have a way to customize, per column, how the values are rendered, and go even further than the `textTemplate` field would allow? Let's create the following extension mechanism. For any column, we'll be able to choose between available "cell renderers". These would be components that get the value passed and can render themselves as they want. For example, we could implement a "progress bar" that could be used to render the numbers in a column as a solid bar of color. We'll also migrate the text template field to the new system. What's more, we'll use the global Volto config registry to register our custom components, so it will be completely open to extension from projects or other add-ons. We could use the global `config.settings` from the `src/index.js` object to register the new cell renderers. But this functionality is directly related to our custom data block, so let's just use the block's config object. ```jsx import { TextTemplateRenderer, ProgressCellRenderer } from './CellRenderer'; // ... config.blocks.blocksConfig.dataTable = { id: 'dataTable', title: 'Data Table', icon: tableSVG, group: 'common', view: DataTableView, edit: DataTableEdit, restricted: false, mostUsed: false, sidebarTab: 1, security: { addPermission: [], view: [], }, cellRenderers: { textTemplate: { id: 'textTemplate', title: 'Text Template', view: TextTemplateRenderer, schemaExtender: TextTemplateRenderer.schemaExtender, }, progress: { id: 'progress', title: 'Progress', view: ProgressCellRenderer, }, }, }; // ... ``` Notice the `schemaExtender` field. We'll use it to allow each extension to provide its fields in the column edit widget. `volto-object-widget` allows the schema used in its `FlatObjectList` widget to be extended by a provided schema extender. We'll integrate with that. The old text template-based implementation can be moved to a component and a schema extension. To be more precise, now it's the time to remove the `textTemplate` field from the `ColumnSchema.properties` and the default fieldset. This will go inside a new folder called `CellRenderer` and a new JSX file, `addons/datatable-tutorial/src/CellRenderer/TextTemplate.jsx`: ```jsx import { cloneDeep } from 'lodash'; const TextTemplateRenderer = ({ column, value }) => { return column.textTemplate ? column.textTemplate.replace('{}', value) : value; }; TextTemplateRenderer.schemaExtender = (schema, data) => { if (!data.renderer === 'textTemplate') return schema; schema = cloneDeep(schema); schema.properties.textTemplate = { title: 'Text template', description: 'Add suffix/prefix to text. Use {} for value placeholder', }; schema.fieldsets[0].fields.push('textTemplate'); return schema; }; export default TextTemplateRenderer; ``` In the `CellRenderer` folder, add the `Progress.jsx` cell renderer. For this one, we don't need to extend the schema. ```jsx import React from 'react'; import { Progress as UiProgress } from 'semantic-ui-react'; const Progress = ({ value }) => { const v = Math.round(parseFloat(value)); return ; }; export default Progress; ``` Add the `src/CellRenderer/index.js` file: ```jsx export ProgressCellRenderer from './Progress'; export TextTemplateRenderer from './TextTemplate'; ``` ```{note} As an exercise, you could extend the Progress renderer to include a color field. Consider building a color widget using [react-color]. ``` ## Making use of our new renderers ### Renderer within the edit component The `ColumnSchema` needs to be tweaked to add the new renderer field. This is found within the add-on `src/DataTable/schema.js` and it can be as simple as: ```jsx renderer: { title: 'Format', choices: [], }, ``` Now, back to the `src/DataTable/DataTableEdit.js` component, we'll add this schema tweaking code: ```jsx // ... import config from '@plone/volto/registry'; const tweakSchema = (schema, data, file_data) => { const columnsField = schema.properties.columns; const ColumnsSchema = columnsField.schema; const columns = (file_data?.meta?.fields || []).sort().map((n) => [n, n]); ColumnsSchema.properties.column.choices = columns; const { cellRenderers } = config.blocks.blocksConfig.dataTable; const renderers = Object.keys(cellRenderers).map((k) => [ k, cellRenderers[k].title, ]); ColumnsSchema.properties.renderer.choices = renderers; columnsField.schemaExtender = (schema, data) => { const extension = data.renderer ? cellRenderers[data.renderer].schemaExtender : null; return extension ? extension(schema, data) : schema; }; return schema; }; // ... ``` With the "schema tweaking code" we're doing three things: - Add the columns from the file as choices to the "Column" widget. - Provide the "renderer" field with the available `cellRenderer` choices. - Plug into the `schemaExtender` of the `columnsField` our own schema extender. And we'll replace the old schema tweak with the new one, still in the `src/DataTable/DataTableEdit.js` component: ```jsx const schema = tweakSchema(TableSchema(props), data, file_data); ``` Notice the `columnsField.schemaExtender` bit, as that is a mechanism of the `ObjectWidgetList` to allow per-object schema customization. It is a function with signature `(schema, data, intl) => schema`. ### Renderer within the view component Now that we have our renderers registered for our columns, it's time to use them in our component view. Back to the `src/DataTable/DataTableView.js` component, we'll need to first import the Volto global registry as config: ```jsx import config from '@plone/volto/registry'; ``` Then after our formatter, we add the following renderer code: ```jsx const Cell = ({ column, value }) => { const { renderer } = column; const Render = renderer ? config.blocks.blocksConfig.dataTable.cellRenderers[renderer].view : null; return Render ? : value; }; ``` And we finish the view changes by using our `Cell renderer` to render the table cell data: ```jsx ``` Our final `src/DataTable/DataTableView.js` file will look like this: ```{code-block} jsx :force: true import React from 'react'; import { Table } from 'semantic-ui-react'; import { withFileData } from '@plone-collective/volto-datatable-tutorial/hocs'; import config from '@plone/volto/registry'; const format = (data) => { return { fixed: data.fixed, compact: data.compact, basic: data.basic ? 'very' : undefined, celled: data.celled, inverted: data.inverted, striped: data.striped, }; }; const Cell = ({ column, value }) => { const { renderer } = column; const Render = renderer ? config.blocks.blocksConfig.dataTable.cellRenderers[renderer].view : null; return Render ? : value; }; const DataTableView = ({ file_data, data }) => { const columns = data.columns?.length > 0 ? data.columns : file_data?.meta?.fields?.map((n) => ({ column: n, })); return file_data ? ( {columns.map((col, i) => ( {col.title || col.column} ))} {file_data.data.map((o, i) => ( {columns.map((col, y) => ( ))} ))}
) : (
No data
); }; export default withFileData(({ data: { file_path } }) => file_path)( DataTableView, ); ``` Now if you select a column that has floating values up to 100, and select the `Progress template`, that column will display the values as a progress bar: ```{image} _static/table-column-editing.png ``` This concludes our hands-on tutorial! You can find a copy of the final code here: [react-color]: https://github.com/casesandberg/react-color