import { describe, expect, it } from "vitest"; import { formulaEngine } from "@/lib/formula"; import { formulaRegressionCorpus } from "@/tests/fixtures/formula-corpus"; describe("sanitized five-workbook regression corpus", () => { it("contains exactly the expected identities and operator distribution", () => { const analyses = formulaRegressionCorpus.map((fixture) => formulaEngine.analyze(fixture.formula), ); const countUsing = (key: keyof (typeof analyses)[number]) => analyses.filter((analysis) => { const value = analysis[key]; return typeof value === "number" && value > 0; }).length; expect(formulaRegressionCorpus).toHaveLength(379); expect( new Set(formulaRegressionCorpus.map((fixture) => fixture.workbookId)), ).toHaveLength(5); expect(countUsing("additions")).toBe(314); expect(countUsing("divisions")).toBe(335); expect(countUsing("decimalLiterals")).toBe(43); expect(countUsing("subtractions")).toBe(0); expect(countUsing("multiplications")).toBe(0); expect(countUsing("percentages")).toBe(0); expect(countUsing("unarySigns")).toBe(0); expect( formulaRegressionCorpus.some((fixture) => /\b[A-Z]+\d+\b/u.test(fixture.formula), ), ).toBe(true); expect( formulaRegressionCorpus.some((fixture) => fixture.formula.includes("$")), ).toBe(false); expect( formulaRegressionCorpus.some((fixture) => fixture.formula.includes("!")), ).toBe(false); expect( formulaRegressionCorpus.some((fixture) => /[A-Z]+\(/u.test(fixture.formula)), ).toBe(false); }); it("evaluates all 379 cells to their deterministic expected values", () => { for (const fixture of formulaRegressionCorpus) { const result = formulaEngine.evaluate( [ ...Object.entries(fixture.inputs).map(([key, value]) => ({ key, value, })), { key: "result", formula: fixture.formula, displayPrecision: 2, }, ], { referenceAliases: fixture.a1ToField }, ); expect(result.fields.result.error, fixture.id).toBeUndefined(); expect(result.fields.result.canonical, fixture.id).toBe(fixture.expected); } }); });