codeburn/tests/day-aggregator.test.ts
Resham Joshi 495a254338 feat(mac): native Swift menubar app + one-command install
Introduces mac/ with a native SwiftUI menubar app that replaces the
previous SwiftBar plugin entirely. Install via `npx codeburn menubar`,
which downloads the .app from GitHub Releases, strips Gatekeeper
quarantine, and drops it into ~/Applications.

Highlights

- mac/ SwiftUI app: agent tabs, Today/7/30/Month/All period switcher,
  Trend/Forecast/Pulse/Stats/Plan insights, activity + model
  breakdowns, optimize findings, CSV/JSON export, Star-on-GitHub
  banner, live 60s refresh, instant currency switching with offline FX
  cache.
- Security: CodeburnCLI argv-based spawn (no shell interpretation),
  SafeFile symlink guards + O_NOFOLLOW writes, FX rate clamping to
  [0.0001, 1_000_000], keychain filtered to account == "default",
  removed byte-window credential log, in-flight refresh guard, POSIX
  flock on config.json writes, TerminalLauncher validates argv before
  AppleScript interpolation.
- Performance: shared static NumberFormatter (thousands of allocations
  per popover redraw eliminated), concurrent pipe drain with 20 MB cap
  + 60s timeout in DataClient, Observation-tracked reactive UI, 5-min
  payload cache keyed on (period, provider).
- CLI: new `codeburn menubar` subcommand that downloads + installs +
  launches the .app (no clone, no build). New `status --format
  menubar-json` payload builder. `export` rewritten to produce a
  folder of one-table-per-file CSVs with a `.codeburn-export` marker
  so arbitrary -o paths cannot be silently deleted.
- Removed: src/menubar.ts (SwiftBar plugin generator),
  install-menubar / uninstall-menubar subcommands, `status --format
  menubar` directive output, tests/menubar.test.ts,
  tests/security/menubar-injection.test.ts.
- Release: .github/workflows/release-menubar.yml builds universal
  binary, assembles .app, ad-hoc signs, zips, uploads on mac-v* tag
  push. Runs on the free macos-latest runner.

Tests

- 230 TypeScript tests pass
- 10 Swift CapacityEstimator tests pass
- TypeScript typecheck clean
- Swift release build clean
2026-04-17 16:55:56 -07:00

258 lines
8.3 KiB
TypeScript

import { describe, expect, it } from 'vitest'
import { aggregateProjectsIntoDays, buildPeriodDataFromDays } from '../src/day-aggregator.js'
import type { ProjectSummary } from '../src/types.js'
function makeProject(overrides: Partial<ProjectSummary> & { sessions: ProjectSummary['sessions'] }): ProjectSummary {
return {
project: 'p',
projectPath: '/p',
totalCostUSD: overrides.sessions.reduce((s, sess) => s + sess.totalCostUSD, 0),
totalApiCalls: overrides.sessions.reduce((s, sess) => s + sess.apiCalls, 0),
...overrides,
}
}
function makeCall(timestamp: string, costUSD: number, model = 'Opus 4.7', provider = 'claude') {
return {
provider,
model,
usage: {
inputTokens: 100,
outputTokens: 200,
cacheCreationInputTokens: 0,
cacheReadInputTokens: 50,
cachedInputTokens: 0,
reasoningTokens: 0,
webSearchRequests: 0,
},
costUSD,
tools: [],
mcpTools: [],
hasAgentSpawn: false,
hasPlanMode: false,
speed: 'standard' as const,
timestamp,
bashCommands: [],
deduplicationKey: `dk-${timestamp}-${costUSD}`,
}
}
describe('aggregateProjectsIntoDays', () => {
it('buckets api calls by calendar date derived from timestamp', () => {
const projects: ProjectSummary[] = [
makeProject({
sessions: [{
sessionId: 's1',
project: 'p',
firstTimestamp: '2026-04-09T10:00:00Z',
lastTimestamp: '2026-04-10T08:00:00Z',
totalCostUSD: 10,
totalInputTokens: 0,
totalOutputTokens: 0,
totalCacheReadTokens: 0,
totalCacheWriteTokens: 0,
apiCalls: 2,
turns: [
{
userMessage: 'hi',
timestamp: '2026-04-09T10:00:00Z',
sessionId: 's1',
category: 'coding',
retries: 0,
hasEdits: true,
assistantCalls: [
makeCall('2026-04-09T10:00:00Z', 4),
makeCall('2026-04-10T08:00:00Z', 6),
],
},
],
modelBreakdown: {},
toolBreakdown: {},
mcpBreakdown: {},
bashBreakdown: {},
categoryBreakdown: {} as never,
}],
}),
]
const days = aggregateProjectsIntoDays(projects)
expect(days.map(d => d.date)).toEqual(['2026-04-09', '2026-04-10'])
expect(days[0]!.cost).toBe(4)
expect(days[0]!.calls).toBe(1)
expect(days[1]!.cost).toBe(6)
expect(days[1]!.calls).toBe(1)
})
it('attributes category turns + editTurns + oneShotTurns to the first call date of the turn', () => {
const projects: ProjectSummary[] = [
makeProject({
sessions: [{
sessionId: 's1',
project: 'p',
firstTimestamp: '2026-04-09T10:00:00Z',
lastTimestamp: '2026-04-09T10:05:00Z',
totalCostUSD: 3,
totalInputTokens: 0,
totalOutputTokens: 0,
totalCacheReadTokens: 0,
totalCacheWriteTokens: 0,
apiCalls: 1,
turns: [
{
userMessage: 'hi',
timestamp: '2026-04-09T10:00:00Z',
sessionId: 's1',
category: 'coding',
retries: 0,
hasEdits: true,
assistantCalls: [makeCall('2026-04-09T10:00:00Z', 3)],
},
],
modelBreakdown: {},
toolBreakdown: {},
mcpBreakdown: {},
bashBreakdown: {},
categoryBreakdown: {} as never,
}],
}),
]
const days = aggregateProjectsIntoDays(projects)
const day = days[0]!
expect(day.editTurns).toBe(1)
expect(day.oneShotTurns).toBe(1)
expect(day.categories['coding']).toEqual({
turns: 1,
cost: 3,
editTurns: 1,
oneShotTurns: 1,
})
})
it('counts a session under its firstTimestamp date', () => {
const projects: ProjectSummary[] = [
makeProject({
sessions: [{
sessionId: 's1',
project: 'p',
firstTimestamp: '2026-04-09T23:59:00Z',
lastTimestamp: '2026-04-10T00:10:00Z',
totalCostUSD: 1,
totalInputTokens: 0, totalOutputTokens: 0, totalCacheReadTokens: 0, totalCacheWriteTokens: 0,
apiCalls: 0,
turns: [],
modelBreakdown: {}, toolBreakdown: {}, mcpBreakdown: {}, bashBreakdown: {},
categoryBreakdown: {} as never,
}],
}),
]
const days = aggregateProjectsIntoDays(projects)
expect(days[0]!.date).toBe('2026-04-09')
expect(days[0]!.sessions).toBe(1)
})
it('aggregates per-model and per-provider totals inside each day', () => {
const projects: ProjectSummary[] = [
makeProject({
sessions: [{
sessionId: 's1',
project: 'p',
firstTimestamp: '2026-04-10T10:00:00Z',
lastTimestamp: '2026-04-10T10:00:00Z',
totalCostUSD: 10,
totalInputTokens: 0, totalOutputTokens: 0, totalCacheReadTokens: 0, totalCacheWriteTokens: 0,
apiCalls: 2,
turns: [
{
userMessage: 'x', timestamp: '2026-04-10T10:00:00Z', sessionId: 's1',
category: 'coding', retries: 0, hasEdits: false,
assistantCalls: [
makeCall('2026-04-10T10:00:00Z', 7, 'Opus 4.7', 'claude'),
makeCall('2026-04-10T10:00:00Z', 3, 'gpt-5', 'codex'),
],
},
],
modelBreakdown: {}, toolBreakdown: {}, mcpBreakdown: {}, bashBreakdown: {},
categoryBreakdown: {} as never,
}],
}),
]
const days = aggregateProjectsIntoDays(projects)
const day = days[0]!
expect(day.models['Opus 4.7']).toEqual({
calls: 1, cost: 7,
inputTokens: 100, outputTokens: 200,
cacheReadTokens: 50, cacheWriteTokens: 0,
})
expect(day.models['gpt-5']).toEqual({
calls: 1, cost: 3,
inputTokens: 100, outputTokens: 200,
cacheReadTokens: 50, cacheWriteTokens: 0,
})
expect(day.providers['claude']).toEqual({ calls: 1, cost: 7 })
expect(day.providers['codex']).toEqual({ calls: 1, cost: 3 })
})
})
describe('buildPeriodDataFromDays', () => {
function makeDay(date: string, cost: number) {
return {
date,
cost,
calls: 10,
sessions: 2,
inputTokens: 100,
outputTokens: 200,
cacheReadTokens: 300,
cacheWriteTokens: 0,
editTurns: 3,
oneShotTurns: 2,
models: {
'Opus 4.7': { calls: 8, cost: cost * 0.8, inputTokens: 0, outputTokens: 0, cacheReadTokens: 0, cacheWriteTokens: 0 },
'Haiku 4.5': { calls: 2, cost: cost * 0.2, inputTokens: 0, outputTokens: 0, cacheReadTokens: 0, cacheWriteTokens: 0 },
},
categories: { 'coding': { turns: 2, cost: cost * 0.5, editTurns: 2, oneShotTurns: 1 } },
providers: { 'claude': { calls: 10, cost } },
}
}
it('sums cost, calls, sessions, tokens across days', () => {
const days = [makeDay('2026-04-09', 10), makeDay('2026-04-10', 20)]
const pd = buildPeriodDataFromDays(days, '7 Days')
expect(pd.label).toBe('7 Days')
expect(pd.cost).toBe(30)
expect(pd.calls).toBe(20)
expect(pd.sessions).toBe(4)
expect(pd.inputTokens).toBe(200)
expect(pd.outputTokens).toBe(400)
expect(pd.cacheReadTokens).toBe(600)
})
it('merges per-model totals across days and sorts by cost desc', () => {
const days = [makeDay('2026-04-09', 10), makeDay('2026-04-10', 20)]
const pd = buildPeriodDataFromDays(days, 'Today')
expect(pd.models[0]!.name).toBe('Opus 4.7')
expect(pd.models[0]!.cost).toBeCloseTo(24)
expect(pd.models[1]!.name).toBe('Haiku 4.5')
expect(pd.models[1]!.cost).toBeCloseTo(6)
})
it('merges per-category totals and keeps editTurns + oneShotTurns per category', () => {
const days = [makeDay('2026-04-09', 10), makeDay('2026-04-10', 20)]
const pd = buildPeriodDataFromDays(days, 'Today')
const coding = pd.categories.find(c => c.name === 'Coding')!
expect(coding.turns).toBe(4)
expect(coding.editTurns).toBe(4)
expect(coding.oneShotTurns).toBe(2)
expect(coding.cost).toBeCloseTo(15)
})
it('returns empty period totals when no days supplied', () => {
const pd = buildPeriodDataFromDays([], 'Today')
expect(pd.cost).toBe(0)
expect(pd.calls).toBe(0)
expect(pd.sessions).toBe(0)
expect(pd.categories).toEqual([])
expect(pd.models).toEqual([])
})
})