import { describe, expect, it } from "vite-plus/test"; import { buildPeriodColumns, niceScale } from "./UsageProviderChart";import { providersWithUsage } from "./usageProviders"; describe("niceScale", () => {  it("never puts the peak above the top of the scale", () => {    // Regression: an earlier version stopped at the last step below the peak,    // so the tallest day was drawn past the plot and clipped.    for (const peak of [1122.71, 999, 1, 0.04, 1_400_000_000, 37.5, 5000, 100.001]) {      const { max } = niceScale(peak, 4);      expect(max, `peak ${peak}`).toBeGreaterThanOrEqual(peak);    }  });   it("starts at zero and ends at the maximum", () => {    const { max, ticks } = niceScale(1122.71, 4);     expect(ticks[0]).toBe(0);    expect(ticks[ticks.length - 1]).toBeCloseTo(max, 6);  });   it("uses evenly spaced 1/2/5 steps", () => {    const { ticks } = niceScale(1122.71, 4);    const steps = ticks.slice(1).map((tick, index) => tick - (ticks[index] ?? 0));     for (const step of steps) expect(step).toBeCloseTo(steps[0] ?? 0, 6);    const [first = 0] = steps;    const normalized = first / 10 ** Math.floor(Math.log10(first));    expect([1, 2, 5, 10]).toContain(Math.round(normalized));  });   it("keeps the tick count near the requested resolution", () => {    const { ticks } = niceScale(1122.71, 4);    expect(ticks.length).toBeGreaterThanOrEqual(3);    expect(ticks.length).toBeLessThanOrEqual(7);  });   it("degrades to a single zero tick with no data", () => {    expect(niceScale(0, 4)).toEqual({ max: 0, ticks: [0] });  });}); describe("buildPeriodColumns", () => {  const days = ["2026-08-01", "2026-08-02", "2026-08-03"];  const byDay = new Map([    [      "2026-08-01",      {        day: "2026-08-01",        costUsd: 30,        totalTokens: 300,        byProvider: new Map([          ["codex" as const, { costUsd: 10, totalTokens: 100 }],          ["claude" as const, { costUsd: 20, totalTokens: 200 }],        ]),      },    ],    // 2026-08-02 is deliberately absent: a day with no activity.    [      "2026-08-03",      {        day: "2026-08-03",        costUsd: 5,        totalTokens: 50,        byProvider: new Map([["claude" as const, { costUsd: 5, totalTokens: 50 }]]),      },    ],  ]);   it("plots each day on its own", () => {    expect(buildPeriodColumns(days, byDay, "cost").map((column) => column.total)).toEqual([      30, 0, 5,    ]);  });   it("reads the requested metric", () => {    expect(buildPeriodColumns(days, byDay, "tokens").map((column) => column.total)).toEqual([      300, 0, 50,    ]);  });   it("keeps band values absolute rather than cumulative", () => {    // Regression: the bands were once stack offsets, which drew Claude Code    // permanently above Codex regardless of which provider spent more.    const [first] = buildPeriodColumns(days, byDay, "cost");     expect(first?.bands).toEqual([      { provider: "codex", value: 10 },      { provider: "claude", value: 20 },      { provider: "grok", value: 0 },    ]);  });   it("reports the total as the sum of its bands", () => {    for (const column of buildPeriodColumns(days, byDay, "cost")) {      const sum = column.bands.reduce((running, band) => running + band.value, 0);      expect(column.total).toBeCloseTo(sum, 9);    }  });}); describe("providersWithUsage", () => {  it("omits providers with no cost or tokens", () => {    expect(      providersWithUsage([        { provider: "codex", costUsd: 0, totalTokens: 0 },        { provider: "claude", costUsd: 0, totalTokens: 200 },      ]),    ).toEqual(["claude"]);  });}); describe("hourly chart columns", () => {  it("zero-fills inactive hours and preserves hourly provider values", () => {    const byHour = new Map([      [        "2026-08-11T09:37:00.000Z",        {          day: "2026-08-11",          hourStart: "2026-08-11T09:37:00.000Z",          costUsd: 4,          totalTokens: 40,          byProvider: new Map([["codex" as const, { costUsd: 4, totalTokens: 40 }]]),        },      ],    ]);     expect(      buildPeriodColumns(        ["2026-08-11T08:37:00.000Z", "2026-08-11T09:37:00.000Z", "2026-08-11T10:37:00.000Z"],        byHour,        "cost",      ).map((column) => column.total),    ).toEqual([0, 4, 0]);  });});