spb/worthdoing Public

1/**2 * WorthDoing.ai3 * Author: Simon-Pierre Boucher4 * Contact: contact@spboucher.ai5 * File: tests/scoring.test.ts6 * Description: Worth Score computation tests — weighting, renormalization, separate evidence confidence.7 */8import { describe, it, expect } from "vitest";9import { computeWorthScore, type DimensionScore } from "@/lib/agent/scoring";1011const dim = (12  dimension: DimensionScore["dimension"],13  score: number,14  confidence: number,15): DimensionScore => ({ dimension, score, confidence });1617describe("computeWorthScore", () => {18  it("returns the score itself when all dimensions are equal", () => {19    const { worthScore } = computeWorthScore([20      dim("demand", 80, 0.9),21      dim("neglectedness", 80, 0.9),22      dim("feasibility", 80, 0.9),23      dim("why_now", 80, 0.9),24      dim("impact", 80, 0.9),25    ]);26    expect(worthScore).toBe(80);27  });2829  it("keeps evidence confidence separate from the score", () => {30    const strong = computeWorthScore([dim("demand", 90, 0.95), dim("impact", 90, 0.95)]);31    const weak = computeWorthScore([dim("demand", 90, 0.3), dim("impact", 90, 0.3)]);32    expect(strong.worthScore).toBe(weak.worthScore); // same score...33    expect(strong.evidenceConfidence).toBeGreaterThan(weak.evidenceConfidence); // ...different confidence34  });3536  it("weights demand and impact more than risk", () => {37    const demandHeavy = computeWorthScore([dim("demand", 100, 1), dim("risk", 0, 1)]);38    const riskHeavy = computeWorthScore([dim("demand", 0, 1), dim("risk", 100, 1)]);39    expect(demandHeavy.worthScore).toBeGreaterThan(riskHeavy.worthScore);40  });4142  it("renormalizes weights over provided dimensions", () => {43    const { worthScore } = computeWorthScore([dim("demand", 60, 0.8)]);44    expect(worthScore).toBe(60);45  });4647  it("handles the empty case defensively", () => {48    expect(computeWorthScore([])).toEqual({ worthScore: 0, evidenceConfidence: 0 });49  });50});51