Files
proffesor-for-testing__agen…/scripts/analyze-test-duplicates.ts
Dragan Spiridonov 1e3fbb5ea8 release: v2.1.0 - Comprehensive QX Analysis & Skills Optimization (#107)
* SwarmMemoryManager Refactoring Plan

* fix: add missing directories to npm package (v1.9.3)

Added templates/, .claude/helpers/, and docs/reference/ to package.json
files array. These were missing from the npm distribution, causing
`aqe init` to fail with "Template file not found" errors.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* checkpoint improvements

* fix: critical memory/learning system fixes for v1.9.4

## Critical Fixes
- Vector embeddings now stored correctly (was storing NULL)
- SQL parameter style fixed for agentdb's SqlJsDatabase wrapper
- HNSW index schema mismatch resolved with pattern_id column
- Hooks now save to correct database (.agentic-qe/agentdb.db)

## New Features
- Added 5 SwarmMemoryManager methods for learning data retrieval:
  - getBestAction() - Q-learning best action selection
  - getRecentLearningExperiences() - Recent experience retrieval
  - getLearningExperiencesByTaskType() - Task-filtered experiences
  - getHighRewardExperiences() - Successful experience extraction
  - getLearningStats() - Aggregate learning statistics
- Added comprehensive integration test for memory/learning loop
- Added RuVector pattern store integration (experimental)

## Technical Details
- Vector embeddings: 384 dimensions × 4 bytes = 1,536 bytes per pattern
- All 12 integration tests pass
- HNSW index: 150x faster vector search enabled

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: move ARM64-only ruvector packages to optionalDependencies

Fixes CI failures caused by platform-specific dependencies:
- @ruvector/node-linux-arm64-gnu (ARM64 only)
- ruvector-core-linux-arm64-gnu (ARM64 only)

These packages caused npm ci to fail on x64 CI runners with:
"EBADPLATFORM - wanted linux/arm64, current linux/x64"

Solution: Move ARM64 packages to optionalDependencies and add
x64 variants for cross-platform compatibility.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: regenerate package-lock.json with x64 ruvector packages

Updates lockfile to include optional x64 platform packages for
CI compatibility:
- @ruvector/node-linux-x64-gnu@0.1.17
- ruvector-core-linux-x64-gnu@0.1.15

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: replace fake QUIC with proper implementation and clean up skills manifest

QUIC Transport:
- Remove fake HTTP/2-based QUICTransport.ts that pretended to be QUIC
- Add proper QUIC implementation via Rust/WASM (@agentic-flow/quic-wasm)
- Add WebSocket fallback transport for when WASM unavailable
- Add dedicated type declarations for optional WASM module
- Features: 0-RTT connection, stream multiplexing, TLS 1.3 built-in

Skills Manifest:
- Rewrite skills-manifest.json with only QE skills (41 skills)
- Remove Claude Flow platform skills (agentdb-*, flow-nexus-*, github-*, etc.)
- Organize into proper categories: qe-core, testing-methodologies, etc.

Bug Fixes:
- Fix UnifiedMemoryCoordinator.ts TypeScript errors
- Use Logger.getInstance() instead of private constructor
- Use swarmMemory.query() instead of non-existent list() method
- Use correct close() method signatures for backends

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: add QX Partner agent, compact subagents, fix CLAUDE.md dynamic counts

- Add QX Partner agent for Quality Experience analysis combining QA + UX perspectives
- Compact 9 subagent definitions to ~80 lines each (88% reduction)
- Fix CLAUDE.md template to dynamically count agents (including subagents) and skills
- Move CLAUDE.md creation after parallel phases for accurate counts
- Remove 'Production-Ready' claim from README and CHANGELOG
- Clean up backup files and move docs to proper directory

Initialization now correctly reports:
- 31 QE Agents (20 main + 11 subagents)
- 53 QE Skills
- 8 Slash Commands

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: resolve CI failures and security alert #36

- Replace MD5 with SHA-256 for ETag calculation (security alert #36)
- Fix CRLF line endings in shell scripts causing parse errors
- Remove 'local' keyword from for-loop in test-integration-batched.sh
- Use dynamic process.cwd() instead of hardcoded path in jest.config.js
- Enhance quality-gate.ts to parse test logs when results file missing

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: Complete Agentic QE Fleet v2.1 implementation (closes #101)

## Implemented Features

### Error Recovery Enhancement (Task 1.3)
- CircuitBreaker class with state management (CLOSED/OPEN/HALF_OPEN)
- RetryStrategy with exponential/linear/constant backoff
- RecoveryOrchestrator with 6 recovery strategies
- Transport fallback mechanisms

### Dynamic Skill Loader (Task 2.2)
- Metadata-only initial loading (98% token reduction)
- On-demand full skill retrieval
- LRU caching with configurable TTL (30min default)
- Preload suggestions for critical workflows

### Swarm Learning Optimizer (Task 4.1)
- Topology recommendation engine (hierarchical/mesh/ring/star)
- Agent allocation with capability matching and load balancing
- Bottleneck detection (agent/memory/coordination/IO)
- Real-time performance adjustments
- Added getLatestRecommendation() method

### Workflow Orchestrator (Task 4.2)
- AdaptiveScheduler with dynamic strategy selection
- Priority-based task queue with age boosting
- Task dependency resolution
- Work stealing and backpressure handling
- Added getQueueDepth() and getStatus() methods

### Unified Memory Coordinator (Task 4.3)
- Consolidated memory managers (SQLite, AgentDB, Vector, JSON)
- Automatic failover chain with health monitoring
- Batch operations and namespace isolation
- Periodic sync between backends

### SwarmCoordinator Improvements
- Real CPU utilization tracking via process.cpuUsage()
- Queue depth from WorkflowOrchestrator
- Optimizer recommendations in feedback data
- Calculated average complexity from metrics

## Additional Changes
- Migration documentation and test restructuring plan
- GitHub issue templates and workflows
- Test suite improvements and cleanup

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: optimize 38 QE skills with agent-focused format (#102)

- Add enhanced YAML frontmatter (tokenEstimate, agents, tags, etc.)
- Add <default_to_action> blocks for immediate actionable guidance
- Add Quick Reference Cards with tables for at-a-glance info
- Add Agent Integration examples using Task() pattern
- Add Agent Coordination Hints (memory namespace + fleet coordination)
- Condense content optimized for agent consumption
- Reduce total token footprint by ~65% across skills

Skills updated:
- Core QE: agentic-quality-engineering, holistic-testing-pact
- Testing Types: api-testing, chaos-engineering, compatibility, compliance,
  contract, database, exploratory, localization, mobile, mutation,
  performance, regression, security, visual-testing
- Methodologies: tdd-london-chicago, xp-practices, context-driven,
  risk-based, shift-left, shift-right
- Analysis: code-review-quality, quality-metrics, test-design-techniques
- Strategy: test-automation-strategy, test-data-management,
  test-environment-management, test-reporting-analytics
- CI/CD: cicd-pipeline-qe-orchestrator, accessibility-testing
- Communication: brutal-honesty-review, bug-reporting-excellence,
  consultancy-practices, sherlock-review, six-thinking-hats, technical-writing
- Refactoring: refactoring-patterns

Also includes: package.json updates, docs/optimization/, docs/templates/,
scripts/validate-skill-optimization.ts

Skipped: testability-scoring (pending PR from @fndlalit)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* release: v2.1.0 - Comprehensive QX Analysis & Skills Optimization

## Summary
- Comprehensive QX Analysis with 23+ heuristics (PR #104 by @fndlalit)
- 38 QE Skills optimized with agent-focused format (PR #102)
- Testability Scoring skill v2.1 with optimized format
- QX Partner Agent v2.1 with enhanced capabilities
- Fix MCP SDK compatibility for @modelcontextprotocol/sdk bump (PR #105)

## Changes
- .claude/agents/qx-partner.md: Updated to v2.1 with domain-specific detection
- .claude/skills/testability-scoring/SKILL.md: Optimized format (59% token reduction)
- src/mcp/server.ts: Removed deprecated 'description' field for MCP SDK compatibility
- package.json: Bumped version to 2.1.0
- README.md: Updated version and release notes
- CHANGELOG.md: Added v2.1.0 release notes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-12-03 11:07:46 +01:00

343 lines
10 KiB
TypeScript

#!/usr/bin/env tsx
/**
* Test Duplicate Analysis Script
*
* Analyzes test files to identify:
* 1. Duplicate test cases across multiple files
* 2. Overlapping test coverage
* 3. Implementation detail tests vs user value tests
* 4. Large monolithic test files
*
* Usage: npx tsx scripts/analyze-test-duplicates.ts
* Output: docs/migration/duplicate-analysis.json
*/
import * as fs from 'fs';
import * as path from 'path';
import { glob } from 'glob';
interface TestFile {
path: string;
lines: number;
testCases: string[];
describeSuites: string[];
imports: string[];
category: 'user-value' | 'implementation-detail' | 'contract' | 'unknown';
}
interface DuplicateGroup {
pattern: string;
files: string[];
totalLines: number;
overlapPercentage: number;
recommendation: 'consolidate' | 'delete' | 'keep';
}
interface AnalysisResult {
timestamp: string;
totalFiles: number;
totalLines: number;
largeFiles: { path: string; lines: number }[];
duplicates: DuplicateGroup[];
categoryBreakdown: Record<string, { files: number; lines: number }>;
recommendations: {
filesToDelete: string[];
filesToConsolidate: DuplicateGroup[];
estimatedReduction: { files: number; lines: number };
};
}
async function analyzeTestFile(filePath: string): Promise<TestFile> {
const content = fs.readFileSync(filePath, 'utf-8');
const lines = content.split('\n').length;
// Extract test cases (it(), test(), describe())
const testCaseRegex = /(?:it|test|describe)\s*\(\s*['"`]([^'"`]+)['"`]/g;
const testCases: string[] = [];
let match;
while ((match = testCaseRegex.exec(content)) !== null) {
testCases.push(match[1]);
}
// Extract describe suites
const describeSuiteRegex = /describe\s*\(\s*['"`]([^'"`]+)['"`]/g;
const describeSuites: string[] = [];
while ((match = describeSuiteRegex.exec(content)) !== null) {
describeSuites.push(match[1]);
}
// Extract imports
const importRegex = /import\s+.*?\s+from\s+['"`]([^'"`]+)['"`]/g;
const imports: string[] = [];
while ((match = importRegex.exec(content)) !== null) {
imports.push(match[1]);
}
// Categorize test
const category = categorizeTest(content, filePath);
return {
path: filePath,
lines,
testCases,
describeSuites,
imports,
category,
};
}
function categorizeTest(content: string, filePath: string): TestFile['category'] {
// Implementation detail indicators
const implementationIndicators = [
'null-safety',
'type checking',
'private method',
'internal state',
'constructor',
'.skip',
'should be defined',
'should be a function',
];
// User value indicators
const userValueIndicators = [
'user',
'journey',
'scenario',
'workflow',
'integration',
'end-to-end',
'e2e',
'acceptance',
];
// Contract indicators
const contractIndicators = [
'interface',
'contract',
'api',
'public method',
'exports',
];
const contentLower = content.toLowerCase();
const filePathLower = filePath.toLowerCase();
let implementationScore = 0;
let userValueScore = 0;
let contractScore = 0;
for (const indicator of implementationIndicators) {
if (contentLower.includes(indicator) || filePathLower.includes(indicator)) {
implementationScore++;
}
}
for (const indicator of userValueIndicators) {
if (contentLower.includes(indicator) || filePathLower.includes(indicator)) {
userValueScore++;
}
}
for (const indicator of contractIndicators) {
if (contentLower.includes(indicator) || filePathLower.includes(indicator)) {
contractScore++;
}
}
if (implementationScore > userValueScore && implementationScore > contractScore) {
return 'implementation-detail';
} else if (userValueScore > implementationScore && userValueScore > contractScore) {
return 'user-value';
} else if (contractScore > 0) {
return 'contract';
}
return 'unknown';
}
function findDuplicatePatterns(files: TestFile[]): DuplicateGroup[] {
const patterns = new Map<string, TestFile[]>();
// Group files by base name pattern
for (const file of files) {
const baseName = path.basename(file.path, '.test.ts');
const pattern = baseName
.replace(/\.(comprehensive|enhanced|null-safety|skip|ml|database|edge-cases|race-condition|lifecycle)$/, '')
.replace(/Agent$/, '');
if (!patterns.has(pattern)) {
patterns.set(pattern, []);
}
patterns.get(pattern)!.push(file);
}
// Analyze groups with multiple files
const duplicates: DuplicateGroup[] = [];
for (const [pattern, groupFiles] of patterns) {
if (groupFiles.length < 2) continue;
const totalLines = groupFiles.reduce((sum, f) => sum + f.lines, 0);
// Calculate overlap by comparing test case names
const allTestCases = new Set<string>();
const testCaseCounts = new Map<string, number>();
for (const file of groupFiles) {
for (const testCase of file.testCases) {
allTestCases.add(testCase);
testCaseCounts.set(testCase, (testCaseCounts.get(testCase) || 0) + 1);
}
}
let duplicateTestCases = 0;
for (const count of testCaseCounts.values()) {
if (count > 1) duplicateTestCases++;
}
const overlapPercentage = allTestCases.size > 0
? (duplicateTestCases / allTestCases.size) * 100
: 0;
// Determine recommendation
let recommendation: DuplicateGroup['recommendation'] = 'keep';
if (overlapPercentage > 60) {
recommendation = 'consolidate';
} else if (groupFiles.some(f => f.category === 'implementation-detail')) {
recommendation = 'delete';
}
duplicates.push({
pattern,
files: groupFiles.map(f => f.path),
totalLines,
overlapPercentage: Math.round(overlapPercentage),
recommendation,
});
}
return duplicates.sort((a, b) => b.totalLines - a.totalLines);
}
async function analyzeTestSuite(): Promise<AnalysisResult> {
const testFiles = await glob('tests/**/*.test.ts', {
cwd: process.cwd(),
absolute: true,
});
console.log(`Found ${testFiles.length} test files. Analyzing...`);
const analyzedFiles = await Promise.all(
testFiles.map(file => analyzeTestFile(file))
);
const totalLines = analyzedFiles.reduce((sum, f) => sum + f.lines, 0);
// Find large files (> 1000 lines)
const largeFiles = analyzedFiles
.filter(f => f.lines > 1000)
.map(f => ({ path: f.path, lines: f.lines }))
.sort((a, b) => b.lines - a.lines);
// Find duplicates
const duplicates = findDuplicatePatterns(analyzedFiles);
// Category breakdown
const categoryBreakdown: Record<string, { files: number; lines: number }> = {
'user-value': { files: 0, lines: 0 },
'implementation-detail': { files: 0, lines: 0 },
'contract': { files: 0, lines: 0 },
'unknown': { files: 0, lines: 0 },
};
for (const file of analyzedFiles) {
categoryBreakdown[file.category].files++;
categoryBreakdown[file.category].lines += file.lines;
}
// Generate recommendations
const filesToDelete = analyzedFiles
.filter(f =>
f.category === 'implementation-detail' ||
f.path.includes('.skip.') ||
f.path.includes('null-safety')
)
.map(f => f.path);
const filesToConsolidate = duplicates.filter(d => d.recommendation === 'consolidate');
const estimatedDeletionLines = filesToDelete.reduce((sum, path) => {
const file = analyzedFiles.find(f => f.path === path);
return sum + (file?.lines || 0);
}, 0);
const estimatedConsolidationLines = filesToConsolidate.reduce((sum, group) => {
// Assume we can reduce by 70% through consolidation
return sum + (group.totalLines * 0.7);
}, 0);
const estimatedReduction = {
files: filesToDelete.length + filesToConsolidate.reduce((sum, g) => sum + g.files.length - 1, 0),
lines: Math.round(estimatedDeletionLines + estimatedConsolidationLines),
};
return {
timestamp: new Date().toISOString(),
totalFiles: testFiles.length,
totalLines,
largeFiles,
duplicates,
categoryBreakdown,
recommendations: {
filesToDelete,
filesToConsolidate,
estimatedReduction,
},
};
}
async function main() {
console.log('🔍 Analyzing test suite for duplicates...\n');
const result = await analyzeTestSuite();
console.log('📊 Analysis Results:\n');
console.log(`Total test files: ${result.totalFiles}`);
console.log(`Total lines of test code: ${result.totalLines.toLocaleString()}`);
console.log(`Large files (>1000 lines): ${result.largeFiles.length}`);
console.log(`Duplicate groups found: ${result.duplicates.length}\n`);
console.log('📂 Category Breakdown:');
for (const [category, stats] of Object.entries(result.categoryBreakdown)) {
const percentage = ((stats.lines / result.totalLines) * 100).toFixed(1);
console.log(` ${category}: ${stats.files} files, ${stats.lines.toLocaleString()} lines (${percentage}%)`);
}
console.log('\n💡 Recommendations:');
console.log(` Files to delete: ${result.recommendations.filesToDelete.length}`);
console.log(` Groups to consolidate: ${result.recommendations.filesToConsolidate.length}`);
console.log(` Estimated reduction: ${result.recommendations.estimatedReduction.files} files, ${result.recommendations.estimatedReduction.lines.toLocaleString()} lines\n`);
// Write to JSON file
const outputPath = path.join(process.cwd(), 'docs/migration/duplicate-analysis.json');
fs.mkdirSync(path.dirname(outputPath), { recursive: true });
fs.writeFileSync(outputPath, JSON.stringify(result, null, 2));
console.log(`✅ Analysis complete! Results saved to: ${outputPath}`);
// Print top duplicate groups
console.log('\n🔝 Top Duplicate Groups:\n');
for (const group of result.duplicates.slice(0, 10)) {
console.log(` ${group.pattern}:`);
console.log(` Files: ${group.files.length}`);
console.log(` Total lines: ${group.totalLines.toLocaleString()}`);
console.log(` Overlap: ${group.overlapPercentage}%`);
console.log(` Recommendation: ${group.recommendation}`);
console.log();
}
}
main().catch(console.error);