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import { describe, it, expect } from 'vitest'
import {
detectJunkReads,
detectDuplicateReads,
detectLowReadEditRatio,
detectCacheBloat,
detectBloatedClaudeMd,
computeHealth,
computeTrend,
type ToolCall,
type ApiCallMeta,
type WasteFinding,
} from '../src/optimize.js'
import type { ProjectSummary } from '../src/types.js'
function call(name: string, input: Record<string, unknown>, sessionId = 's1', project = 'p1'): ToolCall {
return { name, input, sessionId, project }
}
function emptyProjects(): ProjectSummary[] {
return []
}
describe('detectJunkReads', () => {
it('returns null below minimum threshold', () => {
const calls = [
call('Read', { file_path: '/x/node_modules/a.js' }),
call('Read', { file_path: '/x/node_modules/b.js' }),
]
expect(detectJunkReads(calls)).toBeNull()
})
it('flags when threshold is met', () => {
const calls = [
call('Read', { file_path: '/x/node_modules/a.js' }),
call('Read', { file_path: '/x/node_modules/b.js' }),
call('Read', { file_path: '/x/.git/config' }),
]
const finding = detectJunkReads(calls)
expect(finding).not.toBeNull()
expect(finding!.impact).toBe('low')
})
it('scales impact with read count', () => {
const make = (n: number) => Array.from({ length: n }, (_, i) =>
call('Read', { file_path: `/x/node_modules/file-${i}.js` })
)
expect(detectJunkReads(make(25))!.impact).toBe('high')
expect(detectJunkReads(make(10))!.impact).toBe('medium')
})
it('ignores non-junk paths', () => {
const calls = [
call('Read', { file_path: '/x/src/a.ts' }),
call('Read', { file_path: '/x/src/b.ts' }),
call('Read', { file_path: '/x/README.md' }),
]
expect(detectJunkReads(calls)).toBeNull()
})
it('ignores non-read tools', () => {
const calls = [
call('Edit', { file_path: '/x/node_modules/a.js' }),
call('Bash', { command: 'ls node_modules' }),
call('Grep', { pattern: 'test', path: '/x/node_modules' }),
]
expect(detectJunkReads(calls)).toBeNull()
})
it('handles missing file_path gracefully', () => {
const calls = [
call('Read', {}),
call('Read', { file_path: null as unknown as string }),
]
expect(detectJunkReads(calls)).toBeNull()
})
it('suggests CLAUDE.md advice listing detected and common junk dirs', () => {
const calls = Array.from({ length: 5 }, () => call('Read', { file_path: '/x/node_modules/a.js' }))
const finding = detectJunkReads(calls)!
expect(finding.fix.type).toBe('paste')
if (finding.fix.type === 'paste') {
expect(finding.fix.text).toContain('node_modules')
}
expect(finding.fix.label).toContain('CLAUDE.md')
})
})
describe('detectDuplicateReads', () => {
it('counts same file read multiple times in same session', () => {
const calls = [
...Array.from({ length: 4 }, () => call('Read', { file_path: '/src/a.ts' }, 's1')),
...Array.from({ length: 4 }, () => call('Read', { file_path: '/src/b.ts' }, 's1')),
]
const finding = detectDuplicateReads(calls)
expect(finding).not.toBeNull()
})
it('does not count across sessions', () => {
const calls = [
call('Read', { file_path: '/src/a.ts' }, 's1'),
call('Read', { file_path: '/src/a.ts' }, 's2'),
call('Read', { file_path: '/src/a.ts' }, 's3'),
]
expect(detectDuplicateReads(calls)).toBeNull()
})
it('excludes junk directory reads', () => {
const calls = Array.from({ length: 10 }, () =>
call('Read', { file_path: '/x/node_modules/foo.js' }, 's1')
)
expect(detectDuplicateReads(calls)).toBeNull()
})
it('returns null for single reads', () => {
const calls = [
call('Read', { file_path: '/src/a.ts' }, 's1'),
call('Read', { file_path: '/src/b.ts' }, 's1'),
]
expect(detectDuplicateReads(calls)).toBeNull()
})
})
describe('detectLowReadEditRatio', () => {
it('returns null below minimum edit count', () => {
const calls = [
call('Edit', {}),
call('Edit', {}),
call('Read', {}),
]
expect(detectLowReadEditRatio(calls)).toBeNull()
})
it('returns null when ratio is healthy', () => {
const calls = [
...Array.from({ length: 40 }, () => call('Read', {})),
...Array.from({ length: 10 }, () => call('Edit', {})),
]
expect(detectLowReadEditRatio(calls)).toBeNull()
})
it('flags when edits outpace reads', () => {
const calls = [
...Array.from({ length: 5 }, () => call('Read', {})),
...Array.from({ length: 10 }, () => call('Edit', {})),
]
const finding = detectLowReadEditRatio(calls)
expect(finding).not.toBeNull()
expect(finding!.impact).toBe('high')
})
it('counts Grep and Glob as reads for ratio', () => {
const calls = [
...Array.from({ length: 40 }, () => call('Grep', {})),
...Array.from({ length: 10 }, () => call('Edit', {})),
]
expect(detectLowReadEditRatio(calls)).toBeNull()
})
it('counts Write as edit', () => {
const calls = [
...Array.from({ length: 15 }, () => call('Read', {})),
...Array.from({ length: 10 }, () => call('Write', {})),
]
const finding = detectLowReadEditRatio(calls)
expect(finding).not.toBeNull()
})
})
describe('detectCacheBloat', () => {
it('returns null below minimum api calls', () => {
const apiCalls: ApiCallMeta[] = [
{ cacheCreationTokens: 80000, version: '2.1.100' },
{ cacheCreationTokens: 80000, version: '2.1.100' },
]
expect(detectCacheBloat(apiCalls, emptyProjects())).toBeNull()
})
it('returns null when median is close to baseline', () => {
const apiCalls: ApiCallMeta[] = Array.from({ length: 20 }, () => ({
cacheCreationTokens: 50000,
version: '2.1.98',
}))
expect(detectCacheBloat(apiCalls, emptyProjects())).toBeNull()
})
it('flags when median exceeds 1.4x baseline', () => {
const apiCalls: ApiCallMeta[] = Array.from({ length: 20 }, () => ({
cacheCreationTokens: 80000,
version: '2.1.100',
}))
const finding = detectCacheBloat(apiCalls, emptyProjects())
expect(finding).not.toBeNull()
})
})
describe('detectBloatedClaudeMd', () => {
it('returns null when no projects have CLAUDE.md', () => {
const result = detectBloatedClaudeMd(new Set(['/nonexistent/path']))
expect(result).toBeNull()
})
it('returns null for empty project set', () => {
const result = detectBloatedClaudeMd(new Set())
expect(result).toBeNull()
})
})
describe('computeHealth', () => {
it('returns A with 100 for no findings', () => {
const { score, grade } = computeHealth([])
expect(score).toBe(100)
expect(grade).toBe('A')
})
function mockFinding(impact: 'high' | 'medium' | 'low'): WasteFinding {
return {
title: 't', explanation: 'e', impact, tokensSaved: 1000,
fix: { type: 'paste', label: 'l', text: 't' },
}
}
it('one low finding stays at A', () => {
const { score, grade } = computeHealth([mockFinding('low')])
expect(score).toBe(97)
expect(grade).toBe('A')
})
it('two high findings drop to C', () => {
const { score, grade } = computeHealth([mockFinding('high'), mockFinding('high')])
expect(score).toBe(70)
expect(grade).toBe('C')
})
it('caps penalty at 80 to prevent score below 20', () => {
const findings = Array.from({ length: 20 }, () => mockFinding('high'))
const { score } = computeHealth(findings)
expect(score).toBe(20)
})
it('progresses grades predictably', () => {
expect(computeHealth([mockFinding('low')]).grade).toBe('A')
expect(computeHealth([mockFinding('medium')]).grade).toBe('A')
expect(computeHealth([mockFinding('medium'), mockFinding('medium')]).grade).toBe('B')
expect(computeHealth([mockFinding('high'), mockFinding('high'), mockFinding('high')]).grade).toBe('C')
expect(computeHealth([mockFinding('high'), mockFinding('high'), mockFinding('high'), mockFinding('high'), mockFinding('high')]).grade).toBe('F')
})
})
describe('computeTrend', () => {
const window = 48 * 60 * 60 * 1000
const baselineWindow = 5 * 24 * 60 * 60 * 1000
it('returns active when no recent activity detected', () => {
const trend = computeTrend({
recentCount: 0, recentWindowMs: window,
baselineCount: 100, baselineWindowMs: baselineWindow,
hasRecentActivity: false,
})
expect(trend).toBe('active')
})
it('returns resolved when recent activity exists but zero waste in it', () => {
const trend = computeTrend({
recentCount: 0, recentWindowMs: window,
baselineCount: 100, baselineWindowMs: baselineWindow,
hasRecentActivity: true,
})
expect(trend).toBe('resolved')
})
it('returns improving when recent rate is less than half of baseline rate', () => {
const trend = computeTrend({
recentCount: 5, recentWindowMs: window,
baselineCount: 100, baselineWindowMs: baselineWindow,
hasRecentActivity: true,
})
expect(trend).toBe('improving')
})
it('returns active when recent rate matches baseline rate', () => {
const recentRate = 100 / baselineWindow
const recentCount = Math.ceil(recentRate * window)
const trend = computeTrend({
recentCount, recentWindowMs: window,
baselineCount: 100, baselineWindowMs: baselineWindow,
hasRecentActivity: true,
})
expect(trend).toBe('active')
})
it('returns active when baseline is empty (new finding)', () => {
const trend = computeTrend({
recentCount: 10, recentWindowMs: window,
baselineCount: 0, baselineWindowMs: baselineWindow,
hasRecentActivity: true,
})
expect(trend).toBe('active')
})
})