Files
diegosouzapw--omniroute/tests/unit/usage-analytics-route.test.ts
2026-07-13 13:39:12 +08:00

572 lines
22 KiB
TypeScript

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-analytics-route-"));
process.env.DATA_DIR = TEST_DATA_DIR;
const ORIGINAL_API_KEY_SECRET = process.env.API_KEY_SECRET;
process.env.API_KEY_SECRET = "test-usage-analytics-secret";
const core = await import("../../src/lib/db/core.ts");
const localDb = await import("../../src/lib/localDb.ts");
const apiKeysDb = await import("../../src/lib/db/apiKeys.ts");
const usageHistory = await import("../../src/lib/usage/usageHistory.ts");
const analyticsRoute = await import("../../src/app/api/usage/analytics/route.ts");
const clearPendingRequests = usageHistory.clearPendingRequests;
const EXPECTED_TOTAL_COST = 0.020925;
async function resetStorage() {
core.resetDbInstance();
apiKeysDb.resetApiKeyState();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
fs.mkdirSync(TEST_DATA_DIR, { recursive: true });
clearPendingRequests();
}
async function seedAnalyticsData() {
const db = core.getDbInstance();
const now = new Date();
for (let i = 0; i < 20; i++) {
const timestamp = new Date(now.getTime() - i * 60 * 60 * 1000).toISOString();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, api_key_id, api_key_name, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run(
i % 2 === 0 ? "openai" : "anthropic",
i % 2 === 0 ? "gpt-4o" : "claude-sonnet",
"test-conn",
"test-key",
"Primary Key",
100 + i,
50 + i,
1,
200 + i * 10,
timestamp
);
}
db.prepare(
`INSERT INTO call_logs (provider, model, requested_model, connection_id, timestamp)
VALUES (?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "gpt-4o-mini", "test-conn", new Date().toISOString());
}
function makeRequest(url: string) {
return new Request(url, { method: "GET" });
}
function assertClose(actual: number, expected: number, epsilon = 0.000001) {
assert.ok(
Math.abs(actual - expected) <= epsilon,
`expected ${actual} to be within ${epsilon} of ${expected}`
);
}
test.beforeEach(async () => {
await resetStorage();
await localDb.updatePricing({
openai: { "gpt-4o": { input: 2.5, output: 10 } },
anthropic: { "claude-sonnet": { input: 3, output: 15 } },
});
});
test.after(() => {
core.resetDbInstance();
apiKeysDb.resetApiKeyState();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
if (ORIGINAL_API_KEY_SECRET === undefined) {
delete process.env.API_KEY_SECRET;
} else {
process.env.API_KEY_SECRET = ORIGINAL_API_KEY_SECRET;
}
});
test("GET /api/usage/analytics returns summary with aggregated metrics", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.totalRequests, 20);
assert.equal(body.summary.uniqueModels, 2);
assert.equal(body.summary.uniqueAccounts, 1);
assert.equal(body.summary.uniqueApiKeys, 1);
assert.ok(body.summary.totalTokens > 0);
assert.ok(body.summary.avgLatencyMs > 0);
assertClose(body.summary.totalCost, EXPECTED_TOTAL_COST);
assert.ok(body.summary.streak > 0);
});
test("GET /api/usage/analytics includes dailyTrend array with cost data", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.dailyTrend));
assert.ok(body.dailyTrend.length > 0);
assert.ok(body.dailyTrend.every((row) => typeof row.cost === "number"));
const dailyCostTotal = body.dailyTrend.reduce((sum, row) => sum + row.cost, 0);
assertClose(dailyCostTotal, body.summary.totalCost);
});
test("GET /api/usage/analytics includes byModel array with cost calculations", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.byModel));
assert.ok(body.byModel.length > 0);
const gptEntry = body.byModel.find(
(m) => (m.model === "4o" || m.model === "gpt-4o") && m.provider === "openai"
);
assert.ok(gptEntry);
assert.ok(typeof gptEntry.cost === "number");
assert.ok(gptEntry.cost > 0);
});
test("GET /api/usage/analytics resolves Codex GPT-5.5 pricing through provider aliases", async () => {
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.5", "codex-conn", 1000, 500, 1, 250, new Date().toISOString());
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assertClose(body.summary.totalCost, 0.02);
assert.equal(body.byProvider[0].provider, "codex");
assertClose(body.byProvider[0].cost, 0.02);
assert.equal(body.byModel[0].model, "gpt-5.5");
assertClose(body.byModel[0].cost, 0.02);
});
test("GET /api/usage/analytics applies Codex Fast tier multipliers and exposes tier split", async () => {
const db = core.getDbInstance();
const timestamp = new Date().toISOString();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, service_tier, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.5", "codex-fast", 1000, 500, 1, 250, "priority", timestamp);
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, service_tier, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.5", "codex-standard", 1000, 500, 1, 250, "standard", timestamp);
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, service_tier, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.5", "codex-flex", 1000, 500, 1, 250, "flex", timestamp);
const response = await analyticsRoute.GET(
makeRequest("http://localhost/api/usage/analytics?presets=1d")
);
const body = await response.json();
assert.equal(response.status, 200);
assertClose(body.summary.totalCost, 0.08);
assert.equal(body.summary.fastRequests, 1);
assert.equal(body.summary.flexRequests, 1);
assert.equal(body.summary.standardRequests, 1);
assertClose(body.summary.fastCost, 0.05);
assertClose(body.summary.flexCost, 0.01);
assertClose(body.summary.flexSavings, 0.01);
assert.equal(body.summary.flexUsageSavingsTokens, 750);
assertClose(body.summary.standardCost, 0.02);
assert.equal(body.byServiceTier.length, 3);
assert.deepEqual(
body.byServiceTier.map((tier: { serviceTier: string }) => tier.serviceTier),
["priority", "flex", "standard"]
);
const flexTier = body.byServiceTier.find(
(tier: { serviceTier: string }) => tier.serviceTier === "flex"
);
assert.equal(flexTier.label, "flex");
assertClose(flexTier.savings, 0.01);
assert.equal(flexTier.usageSavingsTokens, 750);
assertClose(body.byProvider[0].cost, 0.08);
assertClose(body.byModel[0].cost, 0.08);
assertClose(body.presetSummaries["1d"].totalCost, 0.08);
});
test("GET /api/usage/analytics does not report flex savings for non-Codex providers", async () => {
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, service_tier, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "openai-flex", 1000, 500, 1, 250, "flex", new Date().toISOString());
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assertClose(body.summary.totalCost, 0.0075);
assert.equal(body.summary.flexRequests, 1);
assertClose(body.summary.flexCost, 0.0075);
assertClose(body.summary.flexSavings, 0);
assert.equal(body.summary.flexUsageSavingsTokens, 0);
const flexTier = body.byServiceTier.find(
(tier: { serviceTier: string }) => tier.serviceTier === "flex"
);
assertClose(flexTier.savings, 0);
assert.equal(flexTier.usageSavingsTokens, 0);
});
test("GET /api/usage/analytics applies Codex GPT-5.4 Fast multiplier", async () => {
await localDb.updatePricing({
codex: { "gpt-5.4": { input: 5, output: 30 } },
});
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, service_tier, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.4", "codex-fast", 1000, 500, 1, 250, "priority", new Date().toISOString());
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assertClose(body.summary.totalCost, 0.04);
assertClose(body.summary.fastCost, 0.04);
});
test("GET /api/usage/analytics maps Codex auto-review usage to GPT-5.5 pricing", async () => {
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "codex-auto-review", "codex-conn", 1000, 500, 1, 250, new Date().toISOString());
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assertClose(body.summary.totalCost, 0.02);
assert.equal(body.byModel[0].model, "codex-auto-review");
assertClose(body.byModel[0].cost, 0.02);
});
test("GET /api/usage/analytics ignores normal combo routing in fallback statistics", async () => {
const db = core.getDbInstance();
const timestamp = new Date().toISOString();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)`
).run("codex", "gpt-5.5", "codex-conn", 1000, 500, 1, 250, timestamp);
db.prepare(
`INSERT INTO call_logs (id, provider, model, requested_model, combo_name, connection_id, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?)`
).run("combo-call", "codex", "gpt-5.5", "combo/dev", "dev", "codex-conn", timestamp);
db.prepare(
`INSERT INTO call_logs (id, provider, model, requested_model, connection_id, timestamp)
VALUES (?, ?, ?, ?, ?, ?)`
).run("same-model-call", "codex", "GPT-5.5", "gpt-5.5", "codex-conn", timestamp);
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.fallbackCount, 0);
assert.equal(body.summary.fallbackRatePct, 0);
assert.equal(body.summary.requestedModelCoveragePct, 100);
});
test("GET /api/usage/analytics filters by range parameter", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(
makeRequest("http://localhost/api/usage/analytics?range=1d")
);
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.range, "1d");
});
test("GET /api/usage/analytics includes byProvider array with cost data", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.byProvider));
assert.ok(body.byProvider.length > 0);
assert.ok(body.byProvider.every((row) => typeof row.cost === "number"));
const providerCostTotal = body.byProvider.reduce((sum, row) => sum + row.cost, 0);
assertClose(providerCostTotal, body.summary.totalCost);
});
test("GET /api/usage/analytics includes byAccount array with cost data", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.byAccount));
assert.ok(body.byAccount.length > 0);
assert.equal(body.byAccount[0].account, "test-conn");
assert.equal(typeof body.byAccount[0].cost, "number");
assertClose(body.byAccount[0].cost, body.summary.totalCost);
});
test("GET /api/usage/analytics includes cost by API key", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.byApiKey));
assert.equal(body.byApiKey.length, 1);
assert.equal(body.byApiKey[0].apiKeyId, "test-key");
assert.equal(body.byApiKey[0].apiKeyName, "Primary Key");
assertClose(body.byApiKey[0].cost, body.summary.totalCost);
});
test("GET /api/usage/analytics does not double-count raw and aggregated rows", async () => {
const db = core.getDbInstance();
const today = new Date();
const todayStr = today.toISOString().split("T")[0];
const cutoffDate = new Date();
cutoffDate.setDate(cutoffDate.getDate() - 30);
const olderDate = new Date(cutoffDate);
olderDate.setDate(olderDate.getDate() - 1);
const olderDateStr = olderDate.toISOString().split("T")[0];
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "raw-current", 100, 50, 1, 200, today.toISOString());
const insertSummary = db.prepare(
`INSERT INTO daily_usage_summary (provider, model, date, total_requests, total_input_tokens, total_output_tokens, total_cost)
VALUES (?, ?, ?, ?, ?, ?, ?)`
);
insertSummary.run("openai", "gpt-4o", todayStr, 99, 9900, 9900, 0);
insertSummary.run("openai", "gpt-4o", olderDateStr, 1, 25, 10, 0);
const response = await analyticsRoute.GET(
makeRequest("http://localhost/api/usage/analytics?range=all")
);
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.totalRequests, 2);
assert.equal(body.summary.totalTokens, 185);
});
test("GET /api/usage/analytics omits global aggregates when filtering by API key", async () => {
const apiKey = await apiKeysDb.createApiKey("Scoped Key", "machine1234567890");
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, api_key_id, api_key_name, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run(
"openai",
"gpt-4o",
"scoped-conn",
apiKey.id,
"Scoped Key",
100,
50,
1,
200,
new Date().toISOString()
);
db.prepare(
`INSERT INTO daily_usage_summary (provider, model, date, total_requests, total_input_tokens, total_output_tokens, total_cost)
VALUES (?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "2024-01-01", 99, 9900, 9900, 0);
const response = await analyticsRoute.GET(
makeRequest(`http://localhost/api/usage/analytics?range=all&apiKeyIds=${apiKey.id}`)
);
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.totalRequests, 1);
assert.equal(body.summary.totalTokens, 150);
assert.equal(body.byApiKey.length, 1);
assert.equal(body.byApiKey[0].apiKeyId, apiKey.id);
});
test("GET /api/usage/analytics groups renamed API key usage by stable ID", async () => {
const apiKey = await apiKeysDb.createApiKey("Averyanov", "machine1234567890");
await apiKeysDb.updateApiKeyPermissions(apiKey.id, { name: "Alexander Averyanov" });
const db = core.getDbInstance();
const now = Date.now();
const insertUsage = db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, api_key_id, api_key_name, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
);
insertUsage.run(
"openai",
"gpt-4o",
"test-conn",
apiKey.id,
"Averyanov",
100,
50,
1,
200,
new Date(now - 60_000).toISOString()
);
insertUsage.run(
"openai",
"gpt-4o",
"test-conn",
apiKey.id,
"Desktop",
200,
100,
1,
250,
new Date(now).toISOString()
);
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.uniqueApiKeys, 1);
assert.equal(body.byApiKey.length, 1);
assert.equal(body.byApiKey[0].apiKeyId, apiKey.id);
assert.equal(body.byApiKey[0].apiKeyName, "Alexander Averyanov");
assert.deepEqual(body.byApiKey[0].historicalApiKeyNames.sort(), ["Averyanov", "Desktop"]);
assert.equal(body.byApiKey[0].requests, 2);
assert.equal(body.byApiKey[0].promptTokens, 300);
assert.equal(body.byApiKey[0].completionTokens, 150);
const filteredResponse = await analyticsRoute.GET(
makeRequest(`http://localhost/api/usage/analytics?apiKeyIds=${apiKey.id}`)
);
const filteredBody = await filteredResponse.json();
assert.equal(filteredResponse.status, 200);
assert.equal(filteredBody.summary.totalRequests, 2);
assert.equal(filteredBody.byApiKey.length, 1);
assert.equal(filteredBody.byApiKey[0].apiKeyId, apiKey.id);
});
test("GET /api/usage/analytics does not persist guessed API key attribution", async () => {
await localDb.updatePricing({
openai: { "gpt-4o": { input: 2.5, output: 10 } },
});
await apiKeysDb.createApiKey("Unrestricted Key", "machine1234567890");
const db = core.getDbInstance();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, api_key_id, api_key_name, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "legacy-conn", null, null, 100, 50, 1, 200, new Date().toISOString());
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.byApiKey.length, 0);
const row = db
.prepare("SELECT api_key_id, api_key_name FROM usage_history WHERE connection_id = ?")
.get("legacy-conn") as { api_key_id: string | null; api_key_name: string | null };
assert.equal(row.api_key_id, null);
assert.equal(row.api_key_name, null);
});
test("GET /api/usage/analytics returns weeklyPattern for the costs dashboard", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(Array.isArray(body.weeklyPattern));
assert.equal(body.weeklyPattern.length, 7);
assert.deepEqual(
body.weeklyPattern.map((row) => row.day),
["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"]
);
assert.ok(body.weeklyPattern.some((row) => row.totalTokens > 0 && row.avgTokens > 0));
});
test("GET /api/usage/analytics includes activityMap for heatmap", async () => {
await seedAnalyticsData();
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(typeof body.activityMap === "object");
assert.ok(Object.keys(body.activityMap).length > 0);
});
test("GET /api/usage/analytics returns 500 on database errors", async () => {
const response = await analyticsRoute.GET(makeRequest("http://localhost/api/usage/analytics"));
const body = await response.json();
assert.equal(response.status, 200);
assert.ok(body.summary.totalRequests === 0);
});
test("GET /api/usage/analytics does not throw Unknown named parameter on short range (needsAggregated=false)", async () => {
// Regression: shared params object leaked agg-only bindings (@sinceDate, @rawCutoffDate)
// into queries that don't reference them, causing better-sqlite3 to throw.
// A short range (1h) triggers needsAggregated=false because the entire window
// falls within the raw-data-only period.
const db = core.getDbInstance();
const now = new Date();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "test-conn", 100, 50, 1, 200, now.toISOString());
const response = await analyticsRoute.GET(
makeRequest("http://localhost/api/usage/analytics?range=1h")
);
const body = await response.json();
assert.equal(response.status, 200);
assert.equal(body.summary.totalRequests, 1);
});
test("GET /api/usage/analytics does not throw Unknown named parameter with apiKey filter on long range", async () => {
// Regression: Object.assign(presetParams, params) leaked all main-query bindings
// into preset queries that only reference preset-prefixed placeholders.
const apiKey = await apiKeysDb.createApiKey("Preset Key", "machine-preset1234");
const db = core.getDbInstance();
const now = new Date();
// Seed data old enough to trigger aggregated + preset path
for (let i = 0; i < 5; i++) {
const ts = new Date(now.getTime() - (35 + i) * 24 * 60 * 60 * 1000).toISOString();
db.prepare(
`INSERT INTO usage_history (provider, model, connection_id, api_key_id, api_key_name, tokens_input, tokens_output, success, latency_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
).run("openai", "gpt-4o", "test-conn", apiKey.id, apiKey.name, 100, 50, 1, 200, ts);
}
const response = await analyticsRoute.GET(
makeRequest(`http://localhost/api/usage/analytics?range=60d&apiKeyId=${apiKey.id}`)
);
const body = await response.json();
assert.equal(response.status, 200);
// Core regression check: no "Unknown named parameter" error.
// The exact count depends on raw-vs-aggregated boundary; we only need to
// confirm the endpoint returns 200 without throwing.
assert.ok(typeof body.summary.totalRequests === "number");
});