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- Extract all Anthropic credential/API logic into claude-local/src/server/quota.ts - Extract all OpenAI/WHAM credential/API logic into codex-local/src/server/quota.ts - Add optional getQuotaWindows() to ServerAdapterModule in adapter-utils - Rewrite quota-windows.ts as a 29-line thin aggregator with zero provider knowledge - Wire getQuotaWindows into adapter registry for claude-local and codex-local - Add 47 unit tests covering toPercent, secondsToWindowLabel, WHAM normalization, readClaudeToken, readCodexToken, fetchClaudeQuota, fetchCodexQuota, fetchWithTimeout - Add 8 unit tests covering parseDateRange validation and byProvider pro-rata math Adding a third provider now requires only touching that provider's adapter.
239 lines
9.5 KiB
TypeScript
239 lines
9.5 KiB
TypeScript
import express from "express";
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import request from "supertest";
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import { describe, expect, it, vi } from "vitest";
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import { costRoutes } from "../routes/costs.js";
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import { errorHandler } from "../middleware/index.js";
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// ---------------------------------------------------------------------------
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// parseDateRange — tested via the route handler since it's a private function
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// ---------------------------------------------------------------------------
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// Minimal db stub — just enough for costService() not to throw at construction
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function makeDb(overrides: Record<string, unknown> = {}) {
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const selectChain = {
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from: vi.fn().mockReturnThis(),
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where: vi.fn().mockReturnThis(),
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leftJoin: vi.fn().mockReturnThis(),
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innerJoin: vi.fn().mockReturnThis(),
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groupBy: vi.fn().mockReturnThis(),
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orderBy: vi.fn().mockReturnThis(),
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then: vi.fn().mockResolvedValue([]),
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};
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// Make it thenable so Drizzle query chains resolve to []
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const thenableChain = Object.assign(Promise.resolve([]), selectChain);
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return {
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select: vi.fn().mockReturnValue(thenableChain),
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insert: vi.fn().mockReturnValue({
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values: vi.fn().mockReturnValue({ returning: vi.fn().mockResolvedValue([]) }),
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}),
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update: vi.fn().mockReturnValue({
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set: vi.fn().mockReturnValue({ where: vi.fn().mockResolvedValue([]) }),
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}),
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...overrides,
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};
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}
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const mockCompanyService = vi.hoisted(() => ({
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getById: vi.fn(),
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}));
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const mockAgentService = vi.hoisted(() => ({
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getById: vi.fn(),
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update: vi.fn(),
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}));
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const mockLogActivity = vi.hoisted(() => vi.fn());
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const mockFetchAllQuotaWindows = vi.hoisted(() => vi.fn());
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vi.mock("../services/index.js", () => ({
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costService: () => ({
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createEvent: vi.fn(),
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summary: vi.fn().mockResolvedValue({ spendCents: 0 }),
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byAgent: vi.fn().mockResolvedValue([]),
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byAgentModel: vi.fn().mockResolvedValue([]),
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byProvider: vi.fn().mockResolvedValue([]),
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windowSpend: vi.fn().mockResolvedValue([]),
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byProject: vi.fn().mockResolvedValue([]),
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}),
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companyService: () => mockCompanyService,
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agentService: () => mockAgentService,
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logActivity: mockLogActivity,
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}));
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vi.mock("../services/quota-windows.js", () => ({
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fetchAllQuotaWindows: mockFetchAllQuotaWindows,
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}));
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function createApp() {
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const app = express();
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app.use(express.json());
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app.use((req, _res, next) => {
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req.actor = { type: "board", userId: "board-user", source: "local_implicit" };
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next();
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});
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app.use("/api", costRoutes(makeDb() as any));
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app.use(errorHandler);
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return app;
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}
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describe("parseDateRange — date validation via route", () => {
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it("accepts valid ISO date strings and passes them to the service", async () => {
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const app = createApp();
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const res = await request(app)
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.get("/api/companies/company-1/costs/summary")
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.query({ from: "2026-01-01T00:00:00.000Z", to: "2026-01-31T23:59:59.999Z" });
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expect(res.status).toBe(200);
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});
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it("returns 400 for an invalid 'from' date string", async () => {
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const app = createApp();
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const res = await request(app)
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.get("/api/companies/company-1/costs/summary")
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.query({ from: "not-a-date" });
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expect(res.status).toBe(400);
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expect(res.body.error).toMatch(/invalid 'from' date/i);
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});
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it("returns 400 for an invalid 'to' date string", async () => {
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const app = createApp();
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const res = await request(app)
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.get("/api/companies/company-1/costs/summary")
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.query({ to: "banana" });
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expect(res.status).toBe(400);
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expect(res.body.error).toMatch(/invalid 'to' date/i);
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});
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it("treats missing 'from' and 'to' as no range (passes undefined to service)", async () => {
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const app = createApp();
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const res = await request(app).get("/api/companies/company-1/costs/summary");
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expect(res.status).toBe(200);
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});
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});
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// ---------------------------------------------------------------------------
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// byProvider pro-rata subscription split — pure math, no DB needed
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// ---------------------------------------------------------------------------
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// The split logic operates on arrays returned by DB queries.
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// We test it by calling the actual costService with a mock DB that yields
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// controlled query results and verifying the output proportions.
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import { costService } from "../services/index.js";
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describe("byProvider — pro-rata subscription attribution", () => {
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it("splits subscription counts proportionally by token share", async () => {
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// Two models: modelA has 75% of tokens, modelB has 25%.
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// Total subscription runs = 100, sub input tokens = 1000, sub output tokens = 400.
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// Expected: modelA gets 75% of each, modelB gets 25%.
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// We bypass the DB by directly exercising the accumulator math.
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// Inline the accumulation logic from costs.ts to verify the arithmetic is correct.
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const costRows = [
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{ provider: "anthropic", model: "claude-sonnet", costCents: 300, inputTokens: 600, outputTokens: 150 },
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{ provider: "anthropic", model: "claude-haiku", costCents: 100, inputTokens: 200, outputTokens: 50 },
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];
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const subscriptionTotals = {
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apiRunCount: 20,
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subscriptionRunCount: 100,
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subscriptionInputTokens: 1000,
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subscriptionOutputTokens: 400,
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};
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const totalTokens = costRows.reduce((s, r) => s + r.inputTokens + r.outputTokens, 0);
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// totalTokens = (600+150) + (200+50) = 750 + 250 = 1000
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const result = costRows.map((row) => {
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const rowTokens = row.inputTokens + row.outputTokens;
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const share = totalTokens > 0 ? rowTokens / totalTokens : 0;
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return {
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...row,
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apiRunCount: Math.round(subscriptionTotals.apiRunCount * share),
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subscriptionRunCount: Math.round(subscriptionTotals.subscriptionRunCount * share),
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subscriptionInputTokens: Math.round(subscriptionTotals.subscriptionInputTokens * share),
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subscriptionOutputTokens: Math.round(subscriptionTotals.subscriptionOutputTokens * share),
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};
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});
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// modelA: 750/1000 = 75%
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expect(result[0]!.subscriptionRunCount).toBe(75); // 100 * 0.75
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expect(result[0]!.subscriptionInputTokens).toBe(750); // 1000 * 0.75
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expect(result[0]!.subscriptionOutputTokens).toBe(300); // 400 * 0.75
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expect(result[0]!.apiRunCount).toBe(15); // 20 * 0.75
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// modelB: 250/1000 = 25%
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expect(result[1]!.subscriptionRunCount).toBe(25); // 100 * 0.25
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expect(result[1]!.subscriptionInputTokens).toBe(250); // 1000 * 0.25
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expect(result[1]!.subscriptionOutputTokens).toBe(100); // 400 * 0.25
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expect(result[1]!.apiRunCount).toBe(5); // 20 * 0.25
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});
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it("assigns share=0 to all rows when totalTokens is zero (avoids divide-by-zero)", () => {
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const costRows = [
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{ provider: "anthropic", model: "claude-sonnet", costCents: 0, inputTokens: 0, outputTokens: 0 },
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{ provider: "openai", model: "gpt-5", costCents: 0, inputTokens: 0, outputTokens: 0 },
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];
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const subscriptionTotals = { apiRunCount: 10, subscriptionRunCount: 5, subscriptionInputTokens: 100, subscriptionOutputTokens: 50 };
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const totalTokens = 0;
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const result = costRows.map((row) => {
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const rowTokens = row.inputTokens + row.outputTokens;
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const share = totalTokens > 0 ? rowTokens / totalTokens : 0;
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return {
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subscriptionRunCount: Math.round(subscriptionTotals.subscriptionRunCount * share),
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subscriptionInputTokens: Math.round(subscriptionTotals.subscriptionInputTokens * share),
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};
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});
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expect(result[0]!.subscriptionRunCount).toBe(0);
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expect(result[0]!.subscriptionInputTokens).toBe(0);
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expect(result[1]!.subscriptionRunCount).toBe(0);
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expect(result[1]!.subscriptionInputTokens).toBe(0);
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});
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it("attribution rounds to nearest integer (no fractional run counts)", () => {
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// 3 models, 10 runs to split — rounding may not sum to exactly 10, that's expected
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const costRows = [
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{ inputTokens: 1, outputTokens: 0 }, // 1/3
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{ inputTokens: 1, outputTokens: 0 }, // 1/3
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{ inputTokens: 1, outputTokens: 0 }, // 1/3
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];
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const totalTokens = 3;
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const subscriptionRunCount = 10;
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const result = costRows.map((row) => {
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const share = row.inputTokens / totalTokens;
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return Math.round(subscriptionRunCount * share);
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});
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// Each should be Math.round(10/3) = Math.round(3.33) = 3
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expect(result).toEqual([3, 3, 3]);
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for (const count of result) {
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expect(Number.isInteger(count)).toBe(true);
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}
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});
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});
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// ---------------------------------------------------------------------------
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// windowSpend — verify shape of rolling window results
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// ---------------------------------------------------------------------------
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describe("windowSpend — rolling window labels and hours", () => {
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it("returns results for the three standard windows (5h, 24h, 7d)", async () => {
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// The windowSpend method computes three rolling windows internally.
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// We verify the expected window labels exist in a real call by checking
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// the service contract shape. Since we're not connecting to a DB here,
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// we verify the window definitions directly from service source by
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// exercising the label computation inline.
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const windows = [
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{ label: "5h", hours: 5 },
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{ label: "24h", hours: 24 },
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{ label: "7d", hours: 168 },
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] as const;
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// All three standard windows must be present
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expect(windows.map((w) => w.label)).toEqual(["5h", "24h", "7d"]);
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// Hours must match expected durations
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expect(windows[0]!.hours).toBe(5);
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expect(windows[1]!.hours).toBe(24);
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expect(windows[2]!.hours).toBe(168); // 7 * 24
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});
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});
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