/** * Ported feature regression — decolua/9router#152 (thanks @toanalien). * * Covers the new `endpoint` column on usage_history + getEndpointUsageRows() * aggregation. Asserts: persistence round-trip, NULL → 'unknown' folding, * per-endpoint grouping, sinceIso filter. */ import test from "node:test"; import assert from "node:assert/strict"; import fs from "node:fs"; import os from "node:os"; import path from "node:path"; const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-usage-endpoint-")); process.env.DATA_DIR = TEST_DATA_DIR; const core = await import("../../src/lib/db/core.ts"); const usageHistory = await import("../../src/lib/usage/usageHistory.ts"); const usageAnalytics = await import("../../src/lib/db/usageAnalytics.ts"); async function resetStorage() { core.resetDbInstance(); fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true }); fs.mkdirSync(TEST_DATA_DIR, { recursive: true }); usageHistory.clearPendingRequests(); } test.beforeEach(async () => { await resetStorage(); }); test.after(() => { core.resetDbInstance(); fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true }); }); test("saveRequestUsage persists endpoint and getEndpointUsageRows groups by endpoint", async () => { await usageHistory.saveRequestUsage({ provider: "openai", model: "gpt-4o-mini", tokens: { input: 10, output: 5 }, success: true, latencyMs: 100, timestamp: new Date().toISOString(), endpoint: "/v1/chat/completions", }); await usageHistory.saveRequestUsage({ provider: "openai", model: "gpt-4o-mini", tokens: { input: 20, output: 8 }, success: true, latencyMs: 200, timestamp: new Date().toISOString(), endpoint: "/v1/chat/completions", }); await usageHistory.saveRequestUsage({ provider: "anthropic", model: "claude-sonnet-4", tokens: { input: 30, output: 12 }, success: true, latencyMs: 300, timestamp: new Date().toISOString(), endpoint: "/v1/messages", }); const rows = usageAnalytics.getEndpointUsageRows(); const byKey = new Map(rows.map((r) => [`${r.endpoint}|${r.provider}|${r.model}`, r])); const chat = byKey.get("/v1/chat/completions|openai|gpt-4o-mini"); assert.ok(chat, "expected /v1/chat/completions row"); assert.equal(chat.requests, 2); assert.equal(chat.promptTokens, 30); assert.equal(chat.completionTokens, 13); const messages = byKey.get("/v1/messages|anthropic|claude-sonnet-4"); assert.ok(messages, "expected /v1/messages row"); assert.equal(messages.requests, 1); assert.equal(messages.promptTokens, 30); }); test("getEndpointUsageRows folds NULL endpoint into 'unknown' bucket (backward compat)", async () => { // Legacy entry: no endpoint field set → stored as NULL. await usageHistory.saveRequestUsage({ provider: "openai", model: "gpt-4o-mini", tokens: { input: 5, output: 5 }, success: true, latencyMs: 50, timestamp: new Date().toISOString(), }); const rows = usageAnalytics.getEndpointUsageRows(); const unknown = rows.find((r) => r.endpoint === "unknown"); assert.ok(unknown, "NULL endpoint should fold into 'unknown'"); assert.equal(unknown.requests, 1); }); test("getEndpointUsageRows honors sinceIso filter", async () => { const old = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(); const recent = new Date().toISOString(); await usageHistory.saveRequestUsage({ provider: "openai", model: "gpt-4o-mini", tokens: { input: 5, output: 5 }, success: true, latencyMs: 50, timestamp: old, endpoint: "/v1/chat/completions", }); await usageHistory.saveRequestUsage({ provider: "openai", model: "gpt-4o-mini", tokens: { input: 5, output: 5 }, success: true, latencyMs: 50, timestamp: recent, endpoint: "/v1/chat/completions", }); const sinceIso = new Date(Date.now() - 60 * 60 * 1000).toISOString(); const rows = usageAnalytics.getEndpointUsageRows({ sinceIso }); const chat = rows.find((r) => r.endpoint === "/v1/chat/completions"); assert.ok(chat); assert.equal(chat.requests, 1, "only the recent row should be counted"); });