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