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* Tests for src/lib/ai-cost-tracker.ts.
*
* Layered:
* 1. Pure pricing arithmetic — known inputs → exact cents.
* 2. Summary aggregation — synthetic in-memory rows → expected rollups.
* 3. Dashboard helpers (projections, day-bucketing).
* 4. DB-backed recording flow — gated on HAS_DB; uses a real user row.
*/
import { describe, it, expect } from "bun:test";
import {
MODEL_PRICING,
DEFAULT_PRICING,
aggregateEvents,
computeCentsForCall,
dailyAverageCents,
extractUsage,
formatCents,
formatTokens,
projectMonthEndCents,
recordAiCost,
startOfUtcMonth,
toUtcDayKey,
summarizeCostsForUser,
} from "../lib/ai-cost-tracker";
const HAS_DB = Boolean(process.env.DATABASE_URL);
// ─── 1. Pricing arithmetic ───────────────────────────────────────────────
describe("computeCentsForCall — pricing arithmetic", () => {
it("returns 0 for an all-zero call", () => {
expect(computeCentsForCall("claude-sonnet-4-20250514", 0, 0)).toBe(0);
});
it("uses the Sonnet rate card: 10k in + 5k out → 10k·0.3¢ + 5k·1.5¢ = 10.5¢ → 11¢", () => {
const got = computeCentsForCall("claude-sonnet-4-20250514", 10_000, 5_000);
expect(got).toBe(11);
});
it("uses the Haiku rate card: 1M in + 0 out → 100¢ ($1)", () => {
const got = computeCentsForCall("claude-haiku-4-5", 1_000_000, 0);
expect(got).toBe(100);
});
it("uses the Opus rate card: 1k in + 1k out → ceil(1.5+7.5)=9¢", () => {
const got = computeCentsForCall("claude-opus-4", 1000, 1000);
expect(got).toBe(9);
});
it("falls back to DEFAULT_PRICING for an unknown model", () => {
const got = computeCentsForCall("claude-future-9001", 10_000, 5_000);
const expected = Math.ceil(
(10_000 / 1000) * DEFAULT_PRICING.inputCentsPer1k +
(5_000 / 1000) * DEFAULT_PRICING.outputCentsPer1k
);
expect(got).toBe(expected);
});
it("never returns a negative value, even with negative inputs", () => {
expect(computeCentsForCall("claude-sonnet-4-20250514", -5, -10)).toBe(0);
});
it("never under-counts a real but tiny call to 0¢", () => {
// 1 token in, 1 token out → fractional cents → must round UP to 1¢.
const got = computeCentsForCall("claude-sonnet-4-20250514", 1, 1);
expect(got).toBe(1);
});
it("pricing table covers every model id our codebase passes to client.messages.create", () => {
// Source-of-truth list (kept in sync with ai-client.ts + ai-review.ts).
const referenced = [
"claude-sonnet-4-20250514",
"claude-haiku-4-5-20251001",
];
for (const model of referenced) {
expect(MODEL_PRICING[model]).toBeDefined();
}
});
});
// ─── 2. extractUsage / extractor robustness ─────────────────────────────
describe("extractUsage — Anthropic response shape", () => {
it("returns zeros for null / non-object input", () => {
expect(extractUsage(null)).toEqual({ input: 0, output: 0 });
expect(extractUsage(undefined)).toEqual({ input: 0, output: 0 });
expect(extractUsage("oops")).toEqual({ input: 0, output: 0 });
});
it("reads .usage.input_tokens / .usage.output_tokens", () => {
const fake = { usage: { input_tokens: 42, output_tokens: 7 } };
expect(extractUsage(fake)).toEqual({ input: 42, output: 7 });
});
it("tolerates missing fields", () => {
const fake = { usage: { input_tokens: 5 } };
expect(extractUsage(fake)).toEqual({ input: 5, output: 0 });
});
it("ignores non-number fields", () => {
const fake = { usage: { input_tokens: "5", output_tokens: null } };
expect(extractUsage(fake)).toEqual({ input: 0, output: 0 });
});
});
// ─── 3. aggregateEvents — summary rollups ───────────────────────────────
describe("aggregateEvents — summary rollups", () => {
const synth = [
{
occurredAt: new Date("2026-05-01T10:00:00Z"),
model: "claude-sonnet-4-20250514",
category: "ai_review",
repositoryId: "repo-1",
agentSessionId: "agent-A",
centsEstimate: 4,
inputTokens: 1000,
outputTokens: 200,
},
{
occurredAt: new Date("2026-05-01T11:00:00Z"),
model: "claude-sonnet-4-20250514",
category: "ci_healer",
repositoryId: "repo-1",
agentSessionId: null,
centsEstimate: 2,
inputTokens: 500,
outputTokens: 100,
},
{
occurredAt: new Date("2026-05-02T11:00:00Z"),
model: "claude-haiku-4-5",
category: "ai_review",
repositoryId: "repo-2",
agentSessionId: "agent-A",
centsEstimate: 1,
inputTokens: 800,
outputTokens: 50,
},
];
const summary = aggregateEvents(synth);
it("rolls up total cents + token totals correctly", () => {
expect(summary.totalCents).toBe(7);
expect(summary.totalInputTokens).toBe(2300);
expect(summary.totalOutputTokens).toBe(350);
});
it("buckets by category, sorted by cents DESC", () => {
expect(summary.byCategory.map((c) => c.category)).toEqual([
"ai_review",
"ci_healer",
]);
expect(summary.byCategory[0].cents).toBe(5);
expect(summary.byCategory[1].cents).toBe(2);
});
it("buckets by model", () => {
const sonnet = summary.byModel.find(
(m) => m.model === "claude-sonnet-4-20250514"
);
const haiku = summary.byModel.find((m) => m.model === "claude-haiku-4-5");
expect(sonnet?.cents).toBe(6);
expect(haiku?.cents).toBe(1);
});
it("buckets by repository_id", () => {
const repo1 = summary.byRepo.find((r) => r.repositoryId === "repo-1");
const repo2 = summary.byRepo.find((r) => r.repositoryId === "repo-2");
expect(repo1?.cents).toBe(6);
expect(repo2?.cents).toBe(1);
});
it("buckets by agent_session_id (incl. null bucket)", () => {
const agentA = summary.byAgent.find((a) => a.agentSessionId === "agent-A");
const noAgent = summary.byAgent.find((a) => a.agentSessionId === null);
expect(agentA?.cents).toBe(5);
expect(noAgent?.cents).toBe(2);
});
it("buckets by UTC day, sorted ascending", () => {
expect(summary.byDay).toEqual([
{ day: "2026-05-01", cents: 6 },
{ day: "2026-05-02", cents: 1 },
]);
});
it("returns zeros on an empty row set", () => {
const empty = aggregateEvents([]);
expect(empty.totalCents).toBe(0);
expect(empty.byCategory).toHaveLength(0);
expect(empty.byDay).toHaveLength(0);
});
});
// ─── 4. Projection + formatting helpers ─────────────────────────────────
describe("projection + formatting helpers", () => {
it("startOfUtcMonth pins to day 1 at 00:00Z", () => {
const d = new Date("2026-05-25T18:34:00Z");
expect(startOfUtcMonth(d).toISOString()).toBe("2026-05-01T00:00:00.000Z");
});
it("projectMonthEndCents linearly extrapolates from elapsed time", () => {
// 31-day month (May). Halfway through (May 16 UTC noon-ish) →
// projected ≈ 2x cents so far. Allow 10% slack for ms-precision drift.
const now = new Date("2026-05-16T00:00:00Z");
const projected = projectMonthEndCents(100, now);
expect(projected).toBeGreaterThan(180);
expect(projected).toBeLessThan(225);
});
it("projectMonthEndCents returns the same number on the last day", () => {
const now = new Date("2026-05-31T23:59:59Z");
const projected = projectMonthEndCents(500, now);
expect(projected).toBeGreaterThanOrEqual(500);
// Should not balloon by more than a fraction of a percent.
expect(projected).toBeLessThan(502);
});
it("dailyAverageCents divides cents-so-far by elapsed days", () => {
// May 10 UTC → day 10 of the month elapsed → avg = 100¢ / 10 = 10¢.
const now = new Date("2026-05-10T12:00:00Z");
expect(dailyAverageCents(100, now)).toBe(10);
});
it("formatCents renders cents → $X.YY", () => {
expect(formatCents(0)).toBe("$0.00");
expect(formatCents(7)).toBe("$0.07");
expect(formatCents(1234)).toBe("$12.34");
expect(formatCents(123456)).toBe("$1,234.56");
});
it("formatTokens groups thousands", () => {
expect(formatTokens(0)).toBe("0");
expect(formatTokens(1234)).toBe("1,234");
expect(formatTokens(1_234_567)).toBe("1,234,567");
});
it("toUtcDayKey is stable across timezones", () => {
expect(toUtcDayKey(new Date("2026-05-25T23:59:59Z"))).toBe("2026-05-25");
expect(toUtcDayKey(new Date("2026-05-25T00:00:01Z"))).toBe("2026-05-25");
});
});
// ─── 5. DB-backed recordAiCost — gated on HAS_DB ────────────────────────
describe.skipIf(!HAS_DB)("recordAiCost — DB-backed", () => {
it.skipIf(!HAS_DB)(
"inserts a row that summarizeCostsForUser can find",
async () => {
const { db } = await import("../db");
const { users } = await import("../db/schema");
// Mint a throwaway user.
const [u] = await db
.insert(users)
.values({
username: `cost-test-${Date.now()}`,
email: `cost-${Date.now()}@example.invalid`,
passwordHash: "$2a$10$" + "x".repeat(53),
})
.returning();
await recordAiCost({
ownerUserId: u.id,
model: "claude-sonnet-4-20250514",
inputTokens: 10_000,
outputTokens: 5_000,
category: "ai_review",
sourceKind: "pull_request",
});
await recordAiCost({
ownerUserId: u.id,
model: "claude-haiku-4-5",
inputTokens: 1_000_000,
outputTokens: 0,
category: "other",
sourceKind: "commit_message",
});
const summary = await summarizeCostsForUser(u.id);
// Sonnet row → 11¢ ; Haiku row → 100¢.
expect(summary.totalCents).toBe(111);
const cats = summary.byCategory.map((c) => c.category).sort();
expect(cats).toEqual(["ai_review", "other"]);
// byModel should split correctly too.
const sonnet = summary.byModel.find(
(m) => m.model === "claude-sonnet-4-20250514"
);
expect(sonnet?.inputTokens).toBe(10_000);
expect(sonnet?.outputTokens).toBe(5_000);
}
);
it.skipIf(!HAS_DB)(
"never throws on bad input — swallows DB errors",
async () => {
await expect(
recordAiCost({
ownerUserId: "not-a-uuid",
model: "x",
inputTokens: 1,
outputTokens: 1,
category: "ai_review",
})
).resolves.toBeUndefined();
}
);
});
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