4118-6825653c17a409c9.js

js grid.is collected 2026-10-01 12:27:48 UTC 148,956 bytes, 96 lines download raw bytes

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2
3// Wait for the engine's WebAssembly portion to be ready
4await Model.preconditions;
5
6// Fetch your .xlsx file and load it into the engine
7const res   = await fetch('/mortgage.xlsx');
8const model = await Model.fromXlsx(
9  await res.arrayBuffer(), 'mortgage.xlsx'
10);
11
12// Write a value into a cell. All cells that depend on it
13// recalculate instantly
14model.write('Sheet1!J3', 0.05); // set interest rate to 5%
15
16// Read any computed cell back out using formula syntax.
17// D3 is the annual payment for year 1 in the amortisation schedule
18const annualPayment = model.readValue('=Sheet1!D3') as number;`},{label:"Slider",code:`const [interestRate, setInterestRate] = useState(5);
19
20function handleChange(e: React.ChangeEvent<HTMLInputElement>) {
21  const value = Number(e.target.value);
22  setInterestRate(value); // update React state to move the thumb
23
24  // Writing to the engine triggers a full recalculation.
25  // Every formula that depends on J3 updates immediately,
26  // including KPIs, the amortisation schedule, and chart data.
27  // See the Chart tab for how to read those values back out.
28  model.write('Sheet1!J3', value / 100); // store as decimal (5 becomes 0.05)
29}
30
31<input
32  type="range"
33  min={0.5} max={15} step={0.25}
34  value={interestRate}
35  onChange={handleChange}
36/>`},{label:"KPI",code:`import { format } from 'numfmt';
37
38// readCell returns the Cell object with value (.v) and number format (.z)
39// numfmt applies the spreadsheet's own format string
40const cellJ9  = model.readCell('=Sheet1!J9');
41const cellJ6  = model.readCell('=Sheet1!J6');
42const cellJ10 = model.readCell('=Sheet1!J10');
43
44const monthlyPayment = format(cellJ9.z,  cellJ9.v  as number); // "$3,548"
45const downPayment    = format(cellJ6.z,  cellJ6.v  as number); // "$300,000"
46const totalInterest  = format(cellJ10.z, cellJ10.v as number); // "$464,287"
47
48<div>{monthlyPayment}</div>
49<div>{downPayment}</div>
50<div>{totalInterest}</div>`},{label:"Chart",code:`// The model emits a 'recalc' event after every recalculation.
51// Subscribe once to keep your chart in sync with any model.write()
52model.on('recalc', () => {
53  const debt = [], equity = [], payment = [];
54
55  // Row 2 = initial state (period 0), rows 3..N = years 1..N
56  for (let row = 2; row <= 2 + years; row++) {
57    debt.push(   model.readValue(\`=Sheet1!E\${row}\`) as number);
58    equity.push( model.readValue(\`=Sheet1!F\${row}\`) as number);
59    payment.push(model.readValue(\`=Sheet1!D\${row}\`) as number);
60  }
61
62  // Update React state to trigger a chart re-render
63  setChartData({
64    labels: debt.map((_, i) => \`Yr \${i}\`),
65    datasets: [
66      { type: 'bar',  label: 'Debt',    data: debt },
67      { type: 'bar',  label: 'Equity',  data: equity },
68      { type: 'line', label: 'Payment', data: payment },
69    ],
70  });
71});`},{label:"Viewer",code:`import { SpreadsheetViewer } from '@grid-is/mondrian-react';
72
73// model is already initialised, see Getting started.
74// Pass it directly to the viewer. It reflects every write()
75// automatically with no extra state management needed.
76<SpreadsheetViewer
77  model={model}
78  initialSelection="Sheet1!J7"  // open with this cell selected
79  showFormulaReferencesOnCellSelection  // highlight formula refs on click
80/>`},{label:"Export",code:`async function handleDownload() {
81  // The exported file reflects the current state of the model, ready to open in Excel.
82  const workbook = model.getWorkbook('mortgage.xlsx');
83  const buffer   = await workbook.toXlsx();
84
85  const blob = new Blob([new Uint8Array(buffer)], {
86    type: 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
87  });
88  const url = URL.createObjectURL(blob);
89  const a   = document.createElement('a');
90  a.href     = url;
91  a.download = 'mortgage-model.xlsx';
92  a.click();
93  URL.revokeObjectURL(url);
94}
95
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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.