Files
classroomio/apps/api/src/__tests__/ai-credits-usage.test.ts
T
Rotimi Best d5b07d356e feat: HLS streaming, transcripts, agent course generation & landing-page course previews (#663)
New features:
- HLS video encoding/streaming (hls routes, hls-encoder) and a media
  transcripts pipeline (transcripts route + media-transcript queries)
- AI assistant chat vs. run model: agent-course-generation worker/queue,
  run-monitor pane, chat-changes card, content ask-ai bar
- Per-theme course-page previews across org landing-page themes (bold,
  classic, corporate, editorial, etc.) with a shared course token/component set
- View-as-student mode and login-link / link-invite invite flows

Refactor:
- Extract packages/core consolidating config (env, storage, dashboard-url),
  services and utils previously duplicated under apps/api/src/config
- Remove legacy agent service modules (chat-tools, chat-context,
  context-window, document, fetch-url, lesson-content)
- Relax Cross-Origin-Resource-Policy to allow cross-origin media embedding
- Add format script to tenant-router so turbo run format covers it
2026-06-07 18:43:05 +01:00

56 lines
1.5 KiB
TypeScript

import { describe, expect, it } from 'vitest';
import { computePurchasedTokenOverflow } from '@cio/core/services/agent/usage';
describe('computePurchasedTokenOverflow', () => {
it('returns 0 when usage stays within allowance', () => {
expect(
computePurchasedTokenOverflow({
allowance: 1000,
monthlyUsageBefore: 500,
requestTokens: 400
})
).toBe(0);
});
it('returns partial overflow when request crosses allowance boundary', () => {
expect(
computePurchasedTokenOverflow({
allowance: 1000,
monthlyUsageBefore: 900,
requestTokens: 200
})
).toBe(100);
});
it('charges entire request against credits when allowance already exhausted', () => {
expect(
computePurchasedTokenOverflow({
allowance: 1000,
monthlyUsageBefore: 1200,
requestTokens: 50
})
).toBe(50);
});
it('handles zero allowance', () => {
expect(
computePurchasedTokenOverflow({
allowance: 0,
monthlyUsageBefore: 0,
requestTokens: 10
})
).toBe(10);
});
});
describe('leaderboard percentage split', () => {
it('allocates shares that sum to 1', () => {
const rows = [{ tokens: 30 }, { tokens: 70 }];
const total = rows.reduce((sum, row) => sum + row.tokens, 0);
const percentages = rows.map((row) => (total > 0 ? row.tokens / total : 0));
expect(percentages).toEqual([0.3, 0.7]);
expect(percentages.reduce((a, b) => a + b, 0)).toBeCloseTo(1);
});
});