import { describe, it, expect } from 'vitest' import { detectJunkReads, detectDuplicateReads, detectLowReadEditRatio, detectCacheBloat, detectBloatedClaudeMd, detectContextBloat, detectLowWorthSessions, detectSessionOutliers, 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, sessionId = 's1', project = 'p1'): ToolCall { return { name, input, sessionId, project } } function emptyProjects(): ProjectSummary[] { return [] } function projectWithSessions(costs: number[], project = 'app'): ProjectSummary { const sessions = costs.map((cost, i) => { const tokens = Math.round(cost * 1000) return { sessionId: `s${i + 1}`, project, firstTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:00:00Z`, lastTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:30:00Z`, totalCostUSD: cost, totalInputTokens: tokens, totalOutputTokens: tokens, totalCacheReadTokens: 0, totalCacheWriteTokens: 0, apiCalls: 1, turns: [], modelBreakdown: {}, toolBreakdown: {}, mcpBreakdown: {}, bashBreakdown: {}, categoryBreakdown: {} as ProjectSummary['sessions'][number]['categoryBreakdown'], skillBreakdown: {}, } }) return { project, projectPath: `/tmp/${project}`, sessions, totalCostUSD: costs.reduce((sum, cost) => sum + cost, 0), totalApiCalls: sessions.length, } } type TestSession = ProjectSummary['sessions'][number] function contextSession( i: number, overrides: Partial, project = 'app', ): TestSession { return { sessionId: `s${i + 1}`, project, firstTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:00:00Z`, lastTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:30:00Z`, totalCostUSD: 1, totalInputTokens: 0, totalOutputTokens: 0, totalCacheReadTokens: 0, totalCacheWriteTokens: 0, apiCalls: 1, turns: [], modelBreakdown: {}, toolBreakdown: {}, mcpBreakdown: {}, bashBreakdown: {}, categoryBreakdown: {} as TestSession['categoryBreakdown'], skillBreakdown: {}, ...overrides, } } function projectWithContextSessions(sessions: TestSession[], project = 'app'): ProjectSummary { return { project, projectPath: `/tmp/${project}`, sessions, totalCostUSD: sessions.reduce((sum, session) => sum + session.totalCostUSD, 0), totalApiCalls: sessions.reduce((sum, session) => sum + session.apiCalls, 0), } } 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') // Issue #277: every paste-style fix should declare its destination so // users can tell a permanent CLAUDE.md rule from a one-time session // opener at a glance. expect(finding.fix.destination).toBe('claude-md') } 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('detectContextBloat', () => { it('returns null below the input/context token floor', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 74_999, totalOutputTokens: 100, }), ]) expect(detectContextBloat([project])).toBeNull() }) it('returns null when output is proportionate to input/context tokens', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 100_000, totalOutputTokens: 5_000, }), ]) expect(detectContextBloat([project])).toBeNull() }) it('discounts cache reads when estimating context pressure', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 5_000, totalCacheReadTokens: 700_000, totalOutputTokens: 5_000, }), ]) expect(detectContextBloat([project])).toBeNull() }) it('weights cache writes when estimating context pressure', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 10_000, totalCacheWriteTokens: 80_000, totalOutputTokens: 3_000, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('110.0K effective input/cache') expect(finding!.tokensSaved).toBe(65_000) }) it('flags sessions where input/cache tokens swamp output', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 90_000, totalCacheReadTokens: 30_000, totalOutputTokens: 2_000, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.title).toContain('context-heavy session') expect(finding!.explanation).toContain('app/s1') expect(finding!.explanation).toContain('93.0K effective input/cache') expect(finding!.explanation).toContain('46.5:1') expect(finding!.impact).toBe('low') expect(finding!.tokensSaved).toBe(63_000) }) it('uses medium impact between the low and high tiers', () => { const project = projectWithContextSessions( Array.from({ length: 4 }, (_, i) => contextSession(i, { totalInputTokens: 80_000, totalOutputTokens: 1_000, })), ) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.impact).toBe('medium') }) it('uses high impact at 10 or more candidates regardless of total size', () => { const project = projectWithContextSessions( Array.from({ length: 10 }, (_, i) => contextSession(i, { totalInputTokens: 80_000, totalOutputTokens: 1_000, })), ) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.impact).toBe('high') }) it('includes context growth from the previous session when it is large', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 20_000, totalOutputTokens: 1_000, }), contextSession(1, { totalInputTokens: 100_000, totalOutputTokens: 2_000, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('5.0x previous session input') }) it('calculates context growth within each project only', () => { const finding = detectContextBloat([ projectWithContextSessions([ contextSession(0, { totalInputTokens: 20_000, totalOutputTokens: 1_000, }), contextSession(1, { totalInputTokens: 100_000, totalOutputTokens: 2_000, }), ], 'app'), projectWithContextSessions([ contextSession(0, { totalInputTokens: 100_000, totalOutputTokens: 2_000, }, 'api'), ], 'api'), ]) expect(finding).not.toBeNull() expect(finding!.explanation.match(/previous session input/g)).toHaveLength(1) }) it('summarizes additional candidates after the preview limit', () => { const project = projectWithContextSessions( Array.from({ length: 6 }, (_, i) => contextSession(i, { totalInputTokens: 80_000 + i * 10_000, totalOutputTokens: 1_000, })), ) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('app/s6') expect(finding!.explanation).toContain('; +1 more') expect(finding!.impact).toBe('high') }) it('uses high impact for one very large context-heavy session', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 600_000, totalOutputTokens: 10_000, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.impact).toBe('high') }) it('handles zero-output sessions without dividing by zero', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 80_000, totalOutputTokens: 0, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('1000+:1') expect(finding!.tokensSaved).toBe(80_000) }) it('caps display ratio at 1000+:1 for non-zero-output sessions too', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 5_000_000, totalOutputTokens: 100, }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('1000+:1') }) it('suppresses the growth ratio when the previous session is more than 7 days back', () => { const project = projectWithContextSessions([ { ...contextSession(0, { totalInputTokens: 20_000, totalOutputTokens: 1_000 }), firstTimestamp: '2026-05-01T10:00:00Z', lastTimestamp: '2026-05-01T10:30:00Z', }, { ...contextSession(1, { totalInputTokens: 100_000, totalOutputTokens: 2_000 }), firstTimestamp: '2026-05-15T10:00:00Z', lastTimestamp: '2026-05-15T10:30:00Z', }, ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() expect(finding!.explanation).not.toContain('previous session input') }) it('anchors growth even when the previous session is below the reporting threshold', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 20_000, totalOutputTokens: 1_000 }), contextSession(1, { totalInputTokens: 100_000, totalOutputTokens: 2_000 }), ]) const finding = detectContextBloat([project]) expect(finding).not.toBeNull() // The first session sits below CONTEXT_BLOAT_MIN_INPUT_TOKENS (75K) and // is not itself a candidate, but the growth-from-previous comparison for // the second session must still anchor against it. expect(finding!.explanation).toContain('5.0x previous session input') }) it('honors excludedSessionIds passed by the orchestrator', () => { const project = projectWithContextSessions([ contextSession(0, { totalInputTokens: 90_000, totalCacheReadTokens: 30_000, totalOutputTokens: 2_000, }), ]) const finding = detectContextBloat([project], new Set(['s1'])) expect(finding).toBeNull() }) }) type LowWorthTurn = TestSession['turns'][number] function lowWorthTurn(overrides: Partial = {}): LowWorthTurn { return { userMessage: 'do the work', assistantCalls: [], timestamp: '2026-05-01T10:00:00Z', sessionId: 's1', category: 'coding', retries: 0, hasEdits: false, ...overrides, } } function lowWorthSession(cost: number, i: number, overrides: Partial = {}, project = 'app'): TestSession { const tokens = Math.round(cost * 1000) return { sessionId: `s${i + 1}`, project, firstTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:00:00Z`, lastTimestamp: `2026-05-${String(i + 1).padStart(2, '0')}T10:30:00Z`, totalCostUSD: cost, totalInputTokens: tokens, totalOutputTokens: tokens, totalCacheReadTokens: 0, totalCacheWriteTokens: 0, apiCalls: 1, turns: [], modelBreakdown: {}, toolBreakdown: {}, mcpBreakdown: {}, bashBreakdown: {}, categoryBreakdown: {} as TestSession['categoryBreakdown'], skillBreakdown: {}, ...overrides, } } function projectWithLowWorthSessions(sessions: TestSession[], project = 'app'): ProjectSummary { return { project, projectPath: `/tmp/${project}`, sessions, totalCostUSD: sessions.reduce((sum, s) => sum + s.totalCostUSD, 0), totalApiCalls: sessions.reduce((sum, s) => sum + s.apiCalls, 0), } } describe('detectLowWorthSessions', () => { it('returns null for cheap sessions', () => { const project = projectWithLowWorthSessions([ lowWorthSession(1.99, 0, { turns: [lowWorthTurn({ hasEdits: false })] }), ]) expect(detectLowWorthSessions([project])).toBeNull() }) it('does not flag the no-edit cost boundary', () => { const project = projectWithLowWorthSessions([ lowWorthSession(2.99, 0, { turns: [lowWorthTurn({ hasEdits: false })] }), ]) expect(detectLowWorthSessions([project])).toBeNull() }) it('flags expensive sessions with no edit turns', () => { const project = projectWithLowWorthSessions([ lowWorthSession(4, 0, { turns: [lowWorthTurn({ hasEdits: false })] }), ]) const finding = detectLowWorthSessions([project]) expect(finding).not.toBeNull() expect(finding!.title).toContain('possibly low-worth') expect(finding!.explanation).toContain('app/s1') expect(finding!.explanation).toContain('no edit turns') // sessionTokenTotal = input + output + cache. The lowWorthSession helper // sets input=output=cost*1000, so the savings ceiling is 2x cost*1000. expect(finding!.tokensSaved).toBe(8_000) }) it('flags retry-heavy sessions', () => { const project = projectWithLowWorthSessions([ lowWorthSession(2.5, 0, { turns: [ lowWorthTurn({ hasEdits: true, retries: 1 }), lowWorthTurn({ hasEdits: true, retries: 2 }), ], }), ]) const finding = detectLowWorthSessions([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('3 retries') }) it('estimates recoverable tokens by retry fraction for sessions with edits', () => { // 4 turns, 2 retries spread across 2 edits, 0 one-shot edits → trips the // 'no one-shot edit turns' reason. totalTurns=4, fraction=2/4=0.5, // sessionTokenTotal=8K, so recoverable savings ceiling is 4K — half the // session, not the full ceiling that no-edit sessions get. const project = projectWithLowWorthSessions([ lowWorthSession(4, 0, { turns: [ lowWorthTurn({ hasEdits: true, retries: 1 }), lowWorthTurn({ hasEdits: true, retries: 1 }), lowWorthTurn({ hasEdits: false }), lowWorthTurn({ hasEdits: false }), ], }), ]) const finding = detectLowWorthSessions([project]) expect(finding).not.toBeNull() expect(finding!.tokensSaved).toBe(4_000) }) it('uses full session tokens as the savings ceiling for no-edit sessions', () => { const project = projectWithLowWorthSessions([ lowWorthSession(4, 0, { turns: [lowWorthTurn({ hasEdits: false })] }), ]) const finding = detectLowWorthSessions([project]) // No edits at all -> entire session is at risk. sessionTokenTotal = 8K. expect(finding!.tokensSaved).toBe(8_000) }) it('keeps all reasons that apply to the same session', () => { const project = projectWithLowWorthSessions([ lowWorthSession(4, 0, { turns: [ lowWorthTurn({ hasEdits: false, retries: 1 }), lowWorthTurn({ hasEdits: false, retries: 2 }), ], }), ]) const finding = detectLowWorthSessions([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('no edit turns') expect(finding!.explanation).toContain('3 retries') }) it('flags edit sessions with retries but no one-shot edit turns via categoryBreakdown', () => { const project = projectWithLowWorthSessions([ lowWorthSession(2.25, 0, { categoryBreakdown: { coding: { turns: 2, costUSD: 2.25, retries: 2, editTurns: 2, oneShotTurns: 0 }, } as TestSession['categoryBreakdown'], }), ]) const finding = detectLowWorthSessions([project]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('no one-shot edit turns') }) it('skips sessions with a git delivery command', () => { const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'cd /tmp/app && git commit -m "ship fix"': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).toBeNull() }) it('skips sessions with gh pr create', () => { const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'gh pr create --fill': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).toBeNull() }) it('does not treat read-only git commands as delivery', () => { const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'git tag -l': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).not.toBeNull() }) it('does not treat dry-run git commands as delivery', () => { const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'git push --dry-run origin main': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).not.toBeNull() }) it('does not treat git commit-tree as a delivery command', () => { // Regex must match `git commit` only, not `git commit-tree` / // `git commit-graph`. Without the (?:\s|$|--) lookahead this would be a // false positive and the session would silently skip detection. const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'git commit-tree HEAD^{tree}': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).not.toBeNull() }) it('still treats `git commit --amend` as a delivery command', () => { const project = projectWithLowWorthSessions([ lowWorthSession(8, 0, { turns: [lowWorthTurn({ hasEdits: false })], bashBreakdown: { 'git commit --amend --no-edit': { calls: 1 } }, }), ]) expect(detectLowWorthSessions([project])).toBeNull() }) it('uses low impact for a single small candidate', () => { const project = projectWithLowWorthSessions([ lowWorthSession(4, 0, { turns: [lowWorthTurn({ hasEdits: false })] }), ]) const finding = detectLowWorthSessions([project]) expect(finding!.impact).toBe('low') }) it('uses medium impact between low and high tiers', () => { const project = projectWithLowWorthSessions( Array.from({ length: 3 }, (_, i) => lowWorthSession(4, i, { turns: [lowWorthTurn({ hasEdits: false })], })), ) const finding = detectLowWorthSessions([project]) expect(finding!.impact).toBe('medium') }) it('uses high impact at 10 or more candidates', () => { const project = projectWithLowWorthSessions( Array.from({ length: 10 }, (_, i) => lowWorthSession(3, i, { turns: [lowWorthTurn({ hasEdits: false })], })), ) const finding = detectLowWorthSessions([project]) expect(finding!.impact).toBe('high') }) it('summarizes additional candidates after the preview limit', () => { const project = projectWithLowWorthSessions( Array.from({ length: 6 }, (_, i) => lowWorthSession(4 + i, i, { turns: [lowWorthTurn({ hasEdits: false })], })), ) const finding = detectLowWorthSessions([project]) expect(finding!.explanation).toContain('; +1 more') }) }) describe('detectSessionOutliers', () => { it('returns null when there are too few sessions for a project baseline', () => { expect(detectSessionOutliers([projectWithSessions([0.5, 4])])).toBeNull() }) it('returns null when no session exceeds twice the project average', () => { expect(detectSessionOutliers([projectWithSessions([1, 1.2, 1.4, 1.6])])).toBeNull() }) it('does not flag the exact 2x boundary', () => { expect(detectSessionOutliers([projectWithSessions([1, 1, 2])])).toBeNull() }) it('flags sessions costing more than twice their project average', () => { const finding = detectSessionOutliers([projectWithSessions([1, 1, 1, 10])]) expect(finding).not.toBeNull() expect(finding!.title).toContain('high-cost session outlier') expect(finding!.explanation).toContain('app/s4') expect(finding!.impact).toBe('medium') expect(finding!.tokensSaved).toBeGreaterThan(0) }) it('ignores tiny absolute-cost outliers', () => { expect(detectSessionOutliers([projectWithSessions([0.01, 0.01, 0.01, 0.2])])).toBeNull() }) it('isolates baselines per project', () => { const finding = detectSessionOutliers([ projectWithSessions([8, 9, 10], 'web'), projectWithSessions([1, 1, 1, 12], 'api'), ]) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('api/s4') expect(finding!.explanation).not.toContain('web/') }) it('excludes sessions already flagged by detectContextBloat', () => { const project = projectWithSessions([1, 1, 1, 10]) const excluded = new Set(['s4']) expect(detectSessionOutliers([project], excluded)).toBeNull() }) it('still flags cost outliers that are not context-bloat candidates', () => { const project = projectWithSessions([1, 1, 1, 10]) const excluded = new Set(['some-other-session']) const finding = detectSessionOutliers([project], excluded) expect(finding).not.toBeNull() expect(finding!.explanation).toContain('app/s4') }) }) 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') }) }) describe('paste-fix destination tagging (issue #277)', () => { // Walks every emitted finding's fix and asserts that `paste`-type actions // declare a destination. Future detectors that ship a paste fix without a // destination get caught here so users never see an unlabeled "here's a // suggestion" block again. function checkAllPasteFixesHaveDestination(findings: WasteFinding[]) { for (const f of findings) { if (f.fix.type === 'paste') { expect( f.fix.destination, `finding "${f.title}" has paste fix without destination — pick one of: claude-md / session-opener / prompt / shell-config` ).toBeDefined() expect(['claude-md', 'session-opener', 'prompt', 'shell-config']) .toContain(f.fix.destination) } } } it('detectJunkReads emits a tagged paste fix', () => { const calls = Array.from({ length: 5 }, () => call('Read', { file_path: '/x/node_modules/a.js' })) checkAllPasteFixesHaveDestination([detectJunkReads(calls)!]) }) it('detectDuplicateReads emits a tagged paste fix', () => { const calls = [ ...Array.from({ length: 6 }, () => call('Read', { file_path: '/src/a.ts' }, 's1')), ...Array.from({ length: 6 }, () => call('Read', { file_path: '/src/b.ts' }, 's1')), ...Array.from({ length: 6 }, () => call('Read', { file_path: '/src/c.ts' }, 's1')), ] checkAllPasteFixesHaveDestination([detectDuplicateReads(calls)!]) }) it('detectLowReadEditRatio emits a tagged paste fix', () => { const calls = [ ...Array.from({ length: 5 }, () => call('Edit', { file_path: '/src/a.ts' })), ...Array.from({ length: 5 }, () => call('Edit', { file_path: '/src/b.ts' })), ...Array.from({ length: 5 }, () => call('Edit', { file_path: '/src/c.ts' })), ...Array.from({ length: 5 }, () => call('Edit', { file_path: '/src/d.ts' })), ...Array.from({ length: 5 }, () => call('Edit', { file_path: '/src/e.ts' })), ] const finding = detectLowReadEditRatio(calls) if (finding) checkAllPasteFixesHaveDestination([finding]) }) })