@ricsam/formula-engine
v0.2.18
Published
A TypeScript-based spreadsheet formula evaluation library designed for high-performance calculation of formulas across sparse datasets.
Readme
FormulaEngine
A TypeScript-based spreadsheet formula evaluation library designed for high-performance calculation of formulas across sparse datasets.
Features
- Sparse-aware architecture - Only populated cells consume memory
- Map-based storage - O(1) cell access with automatic sparse handling
- Excel-compatible addressing (A1 notation)
- Multi-sheet support with sheet management
- Named expressions with global and sheet-level scoping
- Copy/paste operations with clipboard support
- TypeScript-first design with comprehensive type safety
Installation
bun installQuick Start
import { FormulaEngine } from "formula-engine";
// Create a new engine
const engine = FormulaEngine.buildEmpty();
// Add a sheet
const sheetName = engine.addSheet("Sheet1");
const sheetId = engine.getSheetId(sheetName);
// Set cell values
engine.setCellContent({ sheet: sheetId, col: 0, row: 0 }, 42);
engine.setCellContent({ sheet: sheetId, col: 1, row: 0 }, 58);
// Set a formula (evaluation not yet implemented)
engine.setCellContent({ sheet: sheetId, col: 2, row: 0 }, "=A1+B1");
// Get cell value
const value = engine.getCellValue({ sheet: sheetId, col: 0, row: 0 }); // 42
// Set multiple values at once
engine.setCellContent({ sheet: sheetId, col: 0, row: 2 }, [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
]);
// Get range values
const range = {
start: { sheet: sheetId, col: 0, row: 2 },
end: { sheet: sheetId, col: 2, row: 4 },
};
const values = engine.getRangeValues(range); // [[1,2,3],[4,5,6],[7,8,9]]Search And Replace Raw Strings
engine.addWorkbook("Workbook1");
engine.addSheet({ workbookName: "Workbook1", sheetName: "Sheet1" });
engine.setSheetContent(
{ workbookName: "Workbook1", sheetName: "Sheet1" },
new Map([
["A1", "=SUM(B1:B10)"],
["A2", "draft summary"],
])
);
const matches = engine.search("sum", { workbookName: "Workbook1" });
const firstTenMatches = engine.search("sum", {
workbookName: "Workbook1",
maxResults: 10,
});
const oneChange = engine.replace("sum", "avg", {
workbookName: "Workbook1",
sheetName: "Sheet1",
cellReference: "A1",
occurrenceIndex: 0,
});
const allChanges = engine.replaceAll("draft", "published", {
workbookName: "Workbook1",
});
// Works on any stored string cell, including formulas and plain text
// search() returns at most 1,000 matches by default to keep large UI searches
// responsive. Pass maxResults to change the cap, or Number.POSITIVE_INFINITY
// when a batch workflow really needs an unbounded result set.
// [
// {
// workbookName: "Workbook1",
// sheetName: "Sheet1",
// cellReference: "A1",
// cellContent: "=SUM(B1:B10)",
// contentKind: "formula",
// occurrenceIndex: 0,
// startIndex: 1,
// endIndexExclusive: 4,
// matchedText: "SUM"
// }
// ]Undo And Redo
Undo/redo history stores incremental reversible changes rather than copies of the complete engine. Retention is bounded by both entry count and estimated memory usage:
const engine = FormulaEngine.buildEmpty({
undoRedo: {
maxEntries: 100,
maxBytes: 64 * 1024 * 1024,
},
});
engine.undo();
engine.redo();
const history = engine.getUndoRedoState();
console.log(history.undoDepth, history.undoBytes);
console.log(history.redoDepth, history.redoBytes);
engine.transact(() => {
// Synchronous only: grouped into one atomic history entry and one update.
engine.setCellContent(
{ workbookName: "Book", sheetName: "Sheet1", rowIndex: 0, colIndex: 0 },
1
);
engine.setCellContent(
{ workbookName: "Book", sheetName: "Sheet1", rowIndex: 0, colIndex: 1 },
2
);
});The defaults are 100 entries and 64 MiB. If one mutation is larger than the configured byte budget, the engine clears the existing history and does not retain that mutation. This history barrier prevents a later undo from crossing an operation that could not be recorded safely.
History detaches and accounts for primitives, plain objects, arrays, ordered
Map values with primitive keys, Set values with primitive elements, dates,
regular expressions, errors, and binary buffers. Object identity inside
metadata is intentionally not preserved across undo/redo.
Metadata containing functions, accessors, weak collections, promises, custom
class instances, arbitrary-precision bigint values, extremely deep/large
plain arrays, or opaque host objects is stored normally but is not retained for
undo. Writing such metadata creates the same history barrier, because its
reachable memory cannot be cloned and bounded reliably.
transact callbacks must be synchronous. Promise-returning callbacks are
rejected and their captured mutations are rolled back.
Explicit transactions are atomic within the configured history budget. If a
transaction would exceed maxBytes or write unsupported metadata, it throws
and restores its starting state. The same oversized mutation performed as a
normal single engine operation succeeds and creates a non-undoable barrier.
Development Status
✅ Completed
- Core type system and interfaces
- Basic engine structure with sheet management
- Cell addressing system (A1 notation)
- Sparse data storage with Map-based implementation
- Copy/paste operations
- Named expressions (storage only)
🚧 In Progress
- Formula parser and lexer
- Formula evaluation engine
- Dependency tracking system
- Array formula support
📋 Planned
- Function library (SUM, AVERAGE, etc.)
- Array formulas with broadcasting
- Comprehensive error handling
- React hooks for integration
- Performance optimizations
Running Tests
bun testArchitecture
FormulaEngine uses a sparse-aware architecture optimized for spreadsheets where most cells are empty:
- Sheets store cells in a
Map<string, Cell>structure - Addresses use zero-based indexing internally, A1 notation externally
- Formulas will be parsed into ASTs for efficient evaluation
- Dependencies will be tracked in a directed acyclic graph
License
MIT
