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TanStack Data Grid Demo with RevoGrid ​

Use this demo to compare how TanStack Table data models can be rendered through RevoGrid in Vue and React applications.

Source code Git
vue
<template>
  <VGrid :source="source" :columns="rvColumns" hide-attribution @beforeedit="handleEdit" />
</template>

<script setup lang="ts">
import { VGrid, type ColumnProp } from '@revolist/vue3-datagrid'

import { useVueTable, getCoreRowModel, type ColumnDef, type RowData } from '@tanstack/vue-table'

import { computed, ref } from 'vue'
import { tanstackToRvGridColumns } from '../tanstack/utils'
import { makeData, type Person } from '../makeData'

declare module '@tanstack/vue-table' {
  interface TableMeta<_TData extends RowData> {
    updateData: (rowIndex: number, columnId: ColumnProp, value: unknown) => void
  }
}

// Define columns according tanstack guide
const columns: ColumnDef<Person>[] = [
  {
    header: 'Name',
    columns: [
      {
        accessorKey: 'firstName',
        header: 'First Name',
      },
      {
        accessorKey: 'lastName',
        header: 'Last Name',
      },
    ],
  },
]
const data = ref<Person[]>(makeData(5))

// define tanstack table
const table = useVueTable({
  data,
  columns,
  getCoreRowModel: getCoreRowModel(),
  meta: {
    updateData: (rowIndex: number, columnId: ColumnProp, value: any) => {
      data.value = data.value.map((row, index) => {
        if (index === rowIndex) {
          return {
            ...data.value[rowIndex]!,
            [columnId]: value,
          }
        }
        return row
      })
    },
  },
})

// get data from tanstack table
const source = computed(() => {
  const rows = table.getRowModel().flatRows
  return rows
})

const rvColumns = computed(() => {
  // transform tanstack to revogrid format
  return tanstackToRvGridColumns(table.getAllColumns())
})

function handleEdit(e: CustomEvent<HTMLRevoGridElementEventMap['beforeedit']>) {
  e.preventDefault()
  table.options.meta?.updateData(e.detail.model.index, e.detail.prop, e.detail.val)
}
</script>
tsx
import React, { useState, useMemo, useCallback } from 'react'
import {
  RevoGrid,
  type BeforeSaveDataDetails,
  type RevoGridCustomEvent,
} from '@revolist/react-datagrid'
import { useReactTable, getCoreRowModel, type ColumnDef } from '@tanstack/react-table'
import { tanstackToRvGridColumns } from '../tanstack/utils'
import { makeData, type Person } from '../makeData'

// Define TanStack columns
const columns: ColumnDef<Person>[] = [
  {
    header: 'Name',
    columns: [
      {
        accessorKey: 'firstName',
        header: 'First Name',
      },
      {
        accessorKey: 'lastName',
        header: 'Last Name',
      },
    ],
  },
]

const ExampleIntegration = () => {
  const [data, setData] = useState(makeData(5))

  // Set up TanStack table instance
  const table = useReactTable({
    data,
    columns,
    getCoreRowModel: getCoreRowModel(),
    meta: {
      updateData: (rowIndex, columnId, value) => {
        setData(old =>
          old.map((row, index) => {
            if (index === rowIndex) {
              return {
                ...old[rowIndex],
                [columnId]: value,
              }
            }
            return row
          }),
        )
      },
    },
  })

  // Extract data and columns for RevoGrid
  const source = useMemo(() => {
    const rows = table.getRowModel().flatRows
    return rows
  }, [table])

  const rvColumns = useMemo(() => {
    // Convert TanStack column definition to RevoGrid format
    return tanstackToRvGridColumns(table.getAllColumns())
  }, [table])

  const handleEdit = useCallback(
    (e: RevoGridCustomEvent<BeforeSaveDataDetails>) => {
      e.preventDefault()
      const { model, prop, val } = e.detail
      table.options.meta?.updateData(model.index, prop, val)
    },
    [table],
  )

  return <RevoGrid source={source} columns={rvColumns} onBeforeedit={handleEdit} hideAttribution />
}

export default ExampleIntegration
ts
// Helper functions to convert tanstack to revogrid format
import type { ColumnGrouping, ColumnRegular } from '@revolist/vue3-datagrid'
import type { Column } from '@tanstack/vue-table'

export function tanstackToRvGridColumns(tanstackColumns: Column<any>[]) {
  return tanstackColumns.map(col => {
    // Check if this column has children (group columns)
    if (col.columns?.length) {
      const rvGroup: ColumnGrouping = {
        name: col.columnDef.header,
        children: tanstackToRvGridColumns(col.columns),
      }
      return rvGroup // Recursive call for child columns
    }
    const rvColumn: ColumnRegular = {
      prop: col.id, // Use col.id or accessorKey
      name: col.columnDef.header, // Direct mapping for column header
      sortable: !!col.getCanSort(), // Check if the column is sortable
      filter: col.getCanFilter() ? 'customFilterType' : false, // Handle filters
    }

    // Handle custom sorting functions via cellCompare
    const sortingFn = col.getSortingFn()
    if (sortingFn) {
      rvColumn.cellCompare = (_, rowA: any, rowB: any) => sortingFn(rowA, rowB, col.id)
      rvColumn.sortable = true // Ensure sorting is enabled
    }

    // Handle filtering logic if provided
    const filterFn = col.getFilterFn()
    if (filterFn) {
      rvColumn.filter = 'customFilterType' // Assume custom type for filtering
    }

    rvColumn.cellParser = model => {
      return model.renderValue(col.id)
    }

    return rvColumn
  })
}
ts
import { faker } from '@faker-js/faker'

export type Person = {
  avatar: string
  firstName: string
  lastName: string
  name: string
  age: number
  visits: number
  progress: number
  status: 'relationship' | 'complicated' | 'single'
  subRows?: Person[]
}

const range = (len: number) => {
  const arr: number[] = []
  for (let i = 0; i < len; i++) {
    arr.push(i)
  }
  return arr
}

const newPerson = (): Person => {
  const firstName = faker.person.firstName()
  const lastName = faker.person.lastName()
  return {
    avatar: faker.image.avatar(),
    firstName,
    lastName,
    name: `${firstName} ${lastName}`,
    age: faker.number.int(40),
    visits: faker.number.int(1000),
    progress: faker.number.int(100),
    status: faker.helpers.shuffle<Person['status']>(['relationship', 'complicated', 'single'])[0]!,
  }
}

export function makeData(...lens: number[]) {
  const makeDataLevel = (depth = 0): Person[] => {
    const len = lens[depth]!
    return range(len).map((): Person => {
      return {
        ...newPerson(),
        subRows: lens[depth + 1] ? makeDataLevel(depth + 1) : undefined,
      }
    })
  }

  return makeDataLevel()
}