SESSION_START.md•78.3 kB
# 🚀 Claude_MCPServer Session 1 Start - COMPREHENSIVE CONTEXT
**Date**: 2025-05-23
**Time**: 11:29:57
**Project**: Claude_MCPServer
**Type**: Node.js
**Version**: 0.11.0
0.11.0 (from package.json)
**Path**: /Users/robertlee/GitHubProjects/Claude_MCPServer
**Developer**: Human
**AI Assistant**: Claude Code
> **OBJECTIVE**: Show, don't tell, and assume nothing. This document provides complete context for a new developer to understand exactly where we are and continue productively.
## 📋 SESSION OVERVIEW - CRITICAL STATUS
### 🔄 Current System State
| Component | Status | Details | Evidence |
|-----------|--------|---------|----------|
| Git Repository | ✅ Active | Branch: main | [Git Analysis](docs/command_outputs/git/) |
| Project Type | ✅ Node.js | Framework: None, Build: None | [Project Analysis](docs/command_outputs/environment/project_analysis.md) |
| Dependencies | ✅ Configured | Package Manager: npm | [Environment Info](docs/command_outputs/environment/system_info.md) |
| Build System | ⚠️ None detected | Last Status: See evidence | [Build Status](docs/command_outputs/build/build_test_status.md) |
| Running Services | ✅ Active | Alternative Backend:8080 Admin/Monitoring:9000 | [Service Status](docs/command_outputs/services/service_status.md) |
### 🏗️ Work in Progress
- **Current Task**:
- **Last Session**:
- **Recent File Changes**:
```
servers/attention-mechanisms/src/attention-pattern-analyzer.ts
servers/shared/base-server.ts
tests/performance/performance-tests.js
tests/run-tests.js
```
### 📅 Project Timeline & Activity
- **Current Session**: Session 1 on 2025-05-23 ( 0 previous sessions)
- **Git Branch**: main
- **Last Commit**: 9944e73 - Commit v2 20250522 Augment Code
- **Recent Activity**: 10 commits in past week
- **Sync Status**: 0 commits ahead, 0 commits behind origin
- **Last Known Working State**:
### 📊 PROJECT HEALTH BASELINE (EXPECTED vs ACTUAL)
| Component | Expected | Current Status | Match? |
|-----------|----------|----------------|---------|
| Dependencies | ✅ Installed | ✅ Present | ✅ |
| Build | ✅ Success | ❌ Failed/Unknown | ❌ |
| Tests | ✅ Passing | ❌ Failing/Unknown | ❌ |
| Dev Server | ✅ Running | ✅ Active | ✅ |
| Git Status | ✅ Clean/Synced | ✅ Synced | ✅ |
**Overall Health**: 🟡 NEEDS ATTENTION (3/5 components working)
## 📊 VISUAL STATE EVIDENCE
### Current Git State (EXACT)
```bash
M SESSION_START.md
M docs/command_outputs/environment/system_info.md
M docs/command_outputs/errors/error_analysis.md
M docs/command_outputs/git/branch_info.md
M docs/command_outputs/git/current_diff.md
M docs/command_outputs/git/recent_commits.md
M docs/command_outputs/services/service_status.md
```
### Live Service Check Results
```
| Port | Service Type | Status | Process | Response Check |
|------|-------------|--------|---------|----------------|
| 3000 | React/Node Dev Server | ❌ Not Running | None | N/A |
| 3001 | Alternative Dev Server | ❌ Not Running | None | N/A |
| 3101 | Custom Frontend | ❌ Not Running | None | N/A |
| 4000 | Development Server | ❌ Not Running | None | N/A |
| 5000 | Flask/Python Dev | ❌ Not Running | None | N/A |
| 5173 | Vite Dev Server | ❌ Not Running | None | N/A |
| 8000 | Backend API/Django | ❌ Not Running | None | N/A |
| 8080 | Alternative Backend | ✅ Running | nginx (PID: 11261) | ✅ HTTP Responding + /health |
| 8081 | Proxy/Alternative | ❌ Not Running | None | N/A |
| 9000 | Admin/Monitoring | ✅ Running | php-fpm (PID: 2396) | N/A |
## Service Response Examples
### Port 8080 Response
```bash
$ curl -s --max-time 5 http://localhost:8080
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
```
### Build Status (ACTUAL RESULTS)
```bash
[96mtest/week-11-simple.test.ts[0m:[93m65[0m:[93m4639[0m - [91merror[0m[90m TS1127: [0mInvalid character.
[7m65[0m ]),\n callTool: jest.fn().mockResolvedValue({ metricsCount: 10 }),\n createWindow: jest.fn().mockResolvedValue({\n isProcessing: () => true,\n getResults: () => [{ count: 100, sum: 5000, avg: 50 }]\n }),\n configureAlert: jest.fn().mockResolvedValue({\n id: 'alert-123',\n isActive: true\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-warehouse', () => {\n return {\n DataWarehouseServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n runETL: jest.fn().mockResolvedValue({\n status: 'completed',\n recordsProcessed: 5000,\n executionTime: 15000\n }),\n loadData: jest.fn().mockResolvedValue({ rowsInserted: 1000 }),\n executeQuery: jest.fn().mockResolvedValue({\n rows: [{ total_events: 1000 }],\n rowCount: 1,\n executionTime: 2500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'run_etl', description: 'Execute ETL pipelines' },\n { name: 'execute_query', description: 'Run analytical queries' },\n { name: 'create_table', description: 'Create optimized tables' },\n { name: 'manage_partitions', description: 'Manage table partitions' },\n { name: 'optimize_indexes', description: 'Optimize database indexes' },\n { name: 'backup_data', description: 'Backup warehouse data' }\n ]),\n callTool: jest.fn().mockResolvedValue({ result: { rows: [{ total_events: 1000 }] } }),\n createOptimizedTable: jest.fn().mockResolvedValue({\n isPartitioned: true,\n indexes: ['user_id', 'event_type'],\n compressionRatio: 0.65\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/ml-deployment', () => {\n return {\n MLDeploymentServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n deployModel: jest.fn().mockResolvedValue({\n status: 'active',\n endpoint: 'http://localhost:8113/models/user_churn_predictor',\n healthCheck: () => Promise.resolve(true)\n }),\n predict: jest.fn().mockResolvedValue({\n probability: 0.75,\n confidence: 0.92,\n responseTime: 45\n }),\n getModelMetrics: jest.fn().mockResolvedValue({\n accuracy: 0.89,\n latency: { p95: 120 },\n drift: { score: 0.05 },\n requestCount: 1500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'deploy_model', description: 'Deploy ML models for inference' },\n { name: 'predict', description: 'Run model predictions' },\n { name: 'monitor_model', description: 'Monitor model performance' },\n { name: 'update_model', description: 'Update deployed models' },\n { name: 'scale_deployment', description: 'Scale model deployments' },\n { name: 'a_b_test', description: 'Run A/B tests on models' }\n ])\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-governance', () => {\n return {\n DataGovernanceServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n validateDataCompliance: jest.fn().mockResolvedValue({\n complianceScore: 0.96,\n qualityScore: 0.94\n }),\n requestDataAccess: jest.fn().mockResolvedValue({\n status: 'approved',\n conditions: ['data_anonymization', 'audit_logging'],\n expirationTime: new Date(Date.now() + 24 * 60 * 60 * 1000).toISOString()\n }),\n getDataLineage: jest.fn().mockResolvedValue({\n sources: ['api', 'database'],\n transformations: ['clean', 'normalize', 'aggregate'],\n destinations: ['warehouse', 'analytics'],\n lastUpdated: new Date().toISOString()\n }),\n runQualityCheck: jest.fn().mockResolvedValue({\n overallScore: 0.93,\n passedRules: 8,\n failedRows: 25\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'validate_compliance', description: 'Validate data compliance' },\n { name: 'track_lineage', description: 'Track data lineage' },\n { name: 'check_quality', description: 'Run data quality checks' },\n { name: 'manage_access', description: 'Manage data access permissions' },\n { name: 'audit_usage', description: 'Audit data usage' },\n { name: 'anonymize_data', description: 'Anonymize sensitive data' }\n ])\n }))\n };\n});\n\n// Import after mocking\nconst { DataPipelineServer } = require('../servers/data-analytics/src/data-pipeline');\nconst { RealtimeAnalyticsServer } = require('../servers/data-analytics/src/realtime-analytics');\nconst { DataWarehouseServer } = require('../servers/data-analytics/src/data-warehouse');\nconst { MLDeploymentServer } = require('../servers/data-analytics/src/ml-deployment');\nconst { DataGovernanceServer } = require('../servers/data-analytics/src/data-governance');\n\ndescribe('Week 11: Data Management and Analytics Server - PROOF OF FUNCTION', () => {\n let servers: any = {};\n\n beforeAll(async () => {\n // Initialize all Week 11 servers\n servers.dataPipeline = new DataPipelineServer();\n servers.realtimeAnalytics = new RealtimeAnalyticsServer();\n servers.dataWarehouse = new DataWarehouseServer();\n servers.mlDeployment = new MLDeploymentServer();\n servers.dataGovernance = new DataGovernanceServer();\n\n // Start all servers\n await Promise.all([\n servers.dataPipeline.start(),\n servers.realtimeAnalytics.start(),\n servers.dataWarehouse.start(),\n servers.mlDeployment.start(),\n servers.dataGovernance.start()\n ]);\n });\n\n afterAll(async () => {\n // Stop all servers\n await Promise.all([\n servers.dataPipeline.stop(),\n servers.realtimeAnalytics.stop(),\n servers.dataWarehouse.stop(),\n servers.mlDeployment.stop(),\n servers.dataGovernance.stop()\n ]);\n });\n\n describe('✅ PROOF 1: All 5 Server Components Function', () => {\n test('Data Pipeline Server processes data ingestion', async () => {\n const testData = {\n source: 'api',\n data: { users: 1000, events: 50000 },\n timestamp: new Date().toISOString()\n };\n\n const result = await servers.dataPipeline.ingestData(testData);\n expect(result.success).toBe(true);\n expect(result.processedRecords).toBe(5000);\n expect(result.processingTime).toBeLessThan(1000);\n });\n\n test('Realtime Analytics Server generates metrics', async () => {\n const analytics = await servers.realtimeAnalytics.generateMetrics({\n timeRange: '1h',\n metrics: ['user_count', 'revenue', 'conversion_rate'],\n granularity: '5m'\n });\n \n expect(analytics.data).toBeDefined();\n expect(analytics.data.length).toBeGreaterThan(0);\n expect(analytics.summary.total_users).toBe(1520);\n expect(analytics.summary.conversion_rate).toBe(0.15);\n });\n\n test('Data Warehouse Server executes ETL operations', async () => {\n const etlResult = await servers.dataWarehouse.runETL({\n source: 'production_db',\n destination: 'analytics_warehouse',\n transformations: ['clean_nulls', 'normalize_dates']\n });\n \n expect(etlResult.status).toBe('completed');\n expect(etlResult.recordsProcessed).toBe(5000);\n expect(etlResult.executionTime).toBeLessThan(30000);\n });\n\n test('ML Deployment Server serves model predictions', async () => {\n const prediction = await servers.mlDeployment.predict({\n modelName: 'user_churn_predictor',\n input: {\n user_id: '12345',\n features: { days_since_last_login: 7, total_sessions: 45 }\n }\n });\n \n expect(prediction.probability).toBeGreaterThanOrEqual(0);\n expect(prediction.probability).toBeLessThanOrEqual(1);\n expect(prediction.confidence).toBeGreaterThan(0.9);\n expect(prediction.responseTime).toBeLessThan(100);\n });\n\n test('Data Governance Server validates compliance', async () => {\n const governance = await servers.dataGovernance.validateDataCompliance([\n { id: 1, email: 'user@example.com', age: 25 }\n ]);\n \n expect(governance.complianceScore).toBeGreaterThan(0.95);\n expect(governance.qualityScore).toBeGreaterThan(0.9);\n });\n });\n\n describe('✅ PROOF 2: MCP Tools Integration Works', () => {\n test('All servers provide MCP tools', async () => {\n const allTools = await Promise.all([\n servers.dataPipeline.listTools(),\n servers.realtimeAnalytics.listTools(),\n servers.dataWarehouse.listTools(),\n servers.mlDeployment.listTools(),\n servers.dataGovernance.listTools()\n ]);\n\n const totalTools = allTools.reduce((sum, tools) => sum + tools.length, 0);\n expect(totalTools).toBeGreaterThanOrEqual(30); // Week 11 should have 30+ tools\n \n // Verify each server has tools\n allTools.forEach((tools, index) => {\n expect(tools.length).toBeGreaterThanOrEqual(6);\n expect(tools[0]).toHaveProperty('name');\n expect(tools[0]).toHaveProperty('description');\n });\n });\n\n test('MCP tools are callable and functional', async () => {\n // Test calling tools from each server\n const ingestResult = await servers.dataPipeline.callTool('ingest_batch_data', {\n source: 'api',\n data: Array.from({ length: 100 }, (_, i) => ({ id: i }))\n });\n expect(ingestResult.recordsProcessed).toBe(100);\n\n const analyticsResult = await servers.realtimeAnalytics.callTool('generate_real_time_metrics', {\n timeWindow: '10m'\n });\n expect(analyticsResult.metricsCount).toBe(10);\n\n const queryResult = await servers.dataWarehouse.callTool('execute_analytical_query', {\n query: 'SELECT COUNT(*) as total_events FROM analytics.user_events'\n });\n expect(queryResult.result.rows[0].total_events).toBe(1000);\n });\n });\n\n describe('✅ PROOF 3: Performance Requirements Met', () => {\n test('Data pipeline handles high throughput', async () => {\n const start = Date.now();\n const largeBatch = Array.from({ length: 10000 }, (_, i) => ({ id: i, data: 'test' }));\n \n const result = await servers.dataPipeline.ingestBatch(largeBatch);\n const duration = Date.now() - start;\n \n expect(result.success).toBe(true);\n expect(duration).toBeLessThan(2000); // Should process in under 2 seconds\n });\n\n test('Real-time analytics responds quickly', async () => {\n const start = Date.now();\n await servers.realtimeAnalytics.generateMetrics({ timeRange: '5m' });\n const duration = Date.now() - start;\n \n expect(duration).toBeLessThan(200); // Should respond in under 200ms\n });\n\n test('ML inference meets latency requirements', async () => {\n const predictions = await Promise.all(\n Array.from({ length: 10 }, async () => {\n const start = Date.now();\n const prediction = await servers.mlDeployment.predict({\n modelName: 'test_model',\n input: { feature1: Math.random() }\n });\n return { prediction, latency: Date.now() - start };\n })\n );\n \n const avgLatency = predictions.reduce((sum, p) => sum + p.latency, 0) / predictions.length;\n expect(avgLatency).toBeLessThan(100); // Average latency under 100ms\n });\n });\n\n describe('✅ PROOF 4: End-to-End Data Flow Works', () => {\n test('Complete data pipeline from ingestion to governance', async () => {\n // 1. Ingest test data\n const testData = {\n source: 'api',\n data: Array.from({ length: 1000 }, (_, i) => ({\n id: i,\n user_id: `user_${i}`,\n event_type: 'page_view',\n timestamp: new Date().toISOString()\n }))\n };\n\n const ingestionResult = await servers.dataPipeline.ingestData(testData);\n expect(ingestionResult.success).toBe(true);\n\n // 2. Process analytics\n const analyticsResult = await servers.realtimeAnalytics.processIncomingData(testData.data);\n expect(analyticsResult.metricsGenerated).toBeGreaterThan(0);\n\n // 3. Store in warehouse\n const warehouseResult = await servers.dataWarehouse.loadData(testData.data);\n expect(warehouseResult.rowsInserted).toBe(1000);\n\n // 4. Validate governance\n const governanceResult = await servers.dataGovernance.validateDataCompliance(testData.data);\n expect(governanceResult.complianceScore).toBeGreaterThan(0.95);\n });\n });\n\n describe('✅ PROOF 5: Production Readiness Verified', () => {\n test('All servers start and stop cleanly', async () => {\n // This test verifies that our beforeAll and afterAll hooks work\n // which means all servers can start and stop properly\n expect(servers.dataPipeline).toBeDefined();\n expect(servers.realtimeAnalytics).toBeDefined();\n expect(servers.dataWarehouse).toBeDefined();\n expect(servers.mlDeployment).toBeDefined();\n expect(servers.dataGovernance).toBeDefined();\n });\n\n test('Model deployment includes health checks', async () => {\n const deployment = await servers.mlDeployment.deployModel({\n name: 'user_churn_predictor',\n version: '1.0.0'\n });\n \n expect(deployment.status).toBe('active');\n expect(deployment.endpoint).toBeDefined();\n expect(deployment.healthCheck).toBeDefined();\n \n const isHealthy = await deployment.healthCheck();\n expect(isHealthy).toBe(true);\n });\n\n test('Performance monitoring provides metrics', async () => {\n const metrics = await servers.mlDeployment.getModelMetrics('user_churn_predictor');\n \n expect(metrics.accuracy).toBeGreaterThan(0.8);\n expect(metrics.latency.p95).toBeLessThan(200);\n expect(metrics.drift.score).toBeLessThan(0.1);\n expect(metrics.requestCount).toBeGreaterThan(0);\n });\n });\n\n describe('✅ PROOF 6: Advanced Features Function', () => {\n test('Real-time streaming with windowing works', async () => {\n const window = await servers.realtimeAnalytics.createWindow({\n type: 'tumbling',\n duration: '5m',\n aggregations: ['count', 'sum', 'avg']\n });\n \n expect(window.isProcessing()).toBe(true);\n expect(window.getResults().length).toBeGreaterThanOrEqual(0);\n });\n\n test('Data warehouse supports partitioning and optimization', async () => {\n const table = await servers.dataWarehouse.createOptimizedTable({\n name: 'user_events',\n partitionBy: 'date',\n indexes: ['user_id', 'event_type']\n });\n \n expect(table.isPartitioned).toBe(true);\n expect(table.indexes.length).toBe(2);\n expect(table.compressionRatio).toBeGreaterThan(0.5);\n });\n\n test('Data governance tracks lineage and quality', async () => {\n const lineage = await servers.dataGovernance.getDataLineage('user_sessions');\n expect(lineage.sources).toContain('api');\n expect(lineage.transformations).toContain('clean');\n expect(lineage.destinations).toContain('warehouse');\n \n const qualityReport = await servers.dataGovernance.runQualityCheck({\n dataset: 'user_profiles',\n rules: [{ field: 'email', type: 'format' }]\n });\n expect(qualityReport.overallScore).toBeGreaterThan(0.9);\n });\n });\n});\n\ndescribe('🏆 WEEK 11 FINAL VERIFICATION', () => {\n test('Week 11 is 100% functional and production-ready', () => {\n // This test serves as the final stamp of approval\n const week11Status = {\n serverComponents: 5,\n mcpTools: 30,\n integrationTests: 20,\n performanceBenchmarks: true,\n endToEndDataFlow: true,\n productionReadiness: true\n };\n \n expect(week11Status.serverComponents).toBe(5);\n expect(week11Status.mcpTools).toBeGreaterThanOrEqual(30);\n expect(week11Status.integrationTests).toBeGreaterThanOrEqual(20);\n expect(week11Status.performanceBenchmarks).toBe(true);\n expect(week11Status.endToEndDataFlow).toBe(true);\n expect(week11Status.productionReadiness).toBe(true);\n });\n});
[7m [0m [91m [0m
[96mtest/week-11-simple.test.ts[0m:[93m65[0m:[93m4644[0m - [91merror[0m[90m TS1127: [0mInvalid character.
[7m65[0m ]),\n callTool: jest.fn().mockResolvedValue({ metricsCount: 10 }),\n createWindow: jest.fn().mockResolvedValue({\n isProcessing: () => true,\n getResults: () => [{ count: 100, sum: 5000, avg: 50 }]\n }),\n configureAlert: jest.fn().mockResolvedValue({\n id: 'alert-123',\n isActive: true\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-warehouse', () => {\n return {\n DataWarehouseServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n runETL: jest.fn().mockResolvedValue({\n status: 'completed',\n recordsProcessed: 5000,\n executionTime: 15000\n }),\n loadData: jest.fn().mockResolvedValue({ rowsInserted: 1000 }),\n executeQuery: jest.fn().mockResolvedValue({\n rows: [{ total_events: 1000 }],\n rowCount: 1,\n executionTime: 2500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'run_etl', description: 'Execute ETL pipelines' },\n { name: 'execute_query', description: 'Run analytical queries' },\n { name: 'create_table', description: 'Create optimized tables' },\n { name: 'manage_partitions', description: 'Manage table partitions' },\n { name: 'optimize_indexes', description: 'Optimize database indexes' },\n { name: 'backup_data', description: 'Backup warehouse data' }\n ]),\n callTool: jest.fn().mockResolvedValue({ result: { rows: [{ total_events: 1000 }] } }),\n createOptimizedTable: jest.fn().mockResolvedValue({\n isPartitioned: true,\n indexes: ['user_id', 'event_type'],\n compressionRatio: 0.65\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/ml-deployment', () => {\n return {\n MLDeploymentServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n deployModel: jest.fn().mockResolvedValue({\n status: 'active',\n endpoint: 'http://localhost:8113/models/user_churn_predictor',\n healthCheck: () => Promise.resolve(true)\n }),\n predict: jest.fn().mockResolvedValue({\n probability: 0.75,\n confidence: 0.92,\n responseTime: 45\n }),\n getModelMetrics: jest.fn().mockResolvedValue({\n accuracy: 0.89,\n latency: { p95: 120 },\n drift: { score: 0.05 },\n requestCount: 1500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'deploy_model', description: 'Deploy ML models for inference' },\n { name: 'predict', description: 'Run model predictions' },\n { name: 'monitor_model', description: 'Monitor model performance' },\n { name: 'update_model', description: 'Update deployed models' },\n { name: 'scale_deployment', description: 'Scale model deployments' },\n { name: 'a_b_test', description: 'Run A/B tests on models' }\n ])\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-governance', () => {\n return {\n DataGovernanceServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n validateDataCompliance: jest.fn().mockResolvedValue({\n complianceScore: 0.96,\n qualityScore: 0.94\n }),\n requestDataAccess: jest.fn().mockResolvedValue({\n status: 'approved',\n conditions: ['data_anonymization', 'audit_logging'],\n expirationTime: new Date(Date.now() + 24 * 60 * 60 * 1000).toISOString()\n }),\n getDataLineage: jest.fn().mockResolvedValue({\n sources: ['api', 'database'],\n transformations: ['clean', 'normalize', 'aggregate'],\n destinations: ['warehouse', 'analytics'],\n lastUpdated: new Date().toISOString()\n }),\n runQualityCheck: jest.fn().mockResolvedValue({\n overallScore: 0.93,\n passedRules: 8,\n failedRows: 25\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'validate_compliance', description: 'Validate data compliance' },\n { name: 'track_lineage', description: 'Track data lineage' },\n { name: 'check_quality', description: 'Run data quality checks' },\n { name: 'manage_access', description: 'Manage data access permissions' },\n { name: 'audit_usage', description: 'Audit data usage' },\n { name: 'anonymize_data', description: 'Anonymize sensitive data' }\n ])\n }))\n };\n});\n\n// Import after mocking\nconst { DataPipelineServer } = require('../servers/data-analytics/src/data-pipeline');\nconst { RealtimeAnalyticsServer } = require('../servers/data-analytics/src/realtime-analytics');\nconst { DataWarehouseServer } = require('../servers/data-analytics/src/data-warehouse');\nconst { MLDeploymentServer } = require('../servers/data-analytics/src/ml-deployment');\nconst { DataGovernanceServer } = require('../servers/data-analytics/src/data-governance');\n\ndescribe('Week 11: Data Management and Analytics Server - PROOF OF FUNCTION', () => {\n let servers: any = {};\n\n beforeAll(async () => {\n // Initialize all Week 11 servers\n servers.dataPipeline = new DataPipelineServer();\n servers.realtimeAnalytics = new RealtimeAnalyticsServer();\n servers.dataWarehouse = new DataWarehouseServer();\n servers.mlDeployment = new MLDeploymentServer();\n servers.dataGovernance = new DataGovernanceServer();\n\n // Start all servers\n await Promise.all([\n servers.dataPipeline.start(),\n servers.realtimeAnalytics.start(),\n servers.dataWarehouse.start(),\n servers.mlDeployment.start(),\n servers.dataGovernance.start()\n ]);\n });\n\n afterAll(async () => {\n // Stop all servers\n await Promise.all([\n servers.dataPipeline.stop(),\n servers.realtimeAnalytics.stop(),\n servers.dataWarehouse.stop(),\n servers.mlDeployment.stop(),\n servers.dataGovernance.stop()\n ]);\n });\n\n describe('✅ PROOF 1: All 5 Server Components Function', () => {\n test('Data Pipeline Server processes data ingestion', async () => {\n const testData = {\n source: 'api',\n data: { users: 1000, events: 50000 },\n timestamp: new Date().toISOString()\n };\n\n const result = await servers.dataPipeline.ingestData(testData);\n expect(result.success).toBe(true);\n expect(result.processedRecords).toBe(5000);\n expect(result.processingTime).toBeLessThan(1000);\n });\n\n test('Realtime Analytics Server generates metrics', async () => {\n const analytics = await servers.realtimeAnalytics.generateMetrics({\n timeRange: '1h',\n metrics: ['user_count', 'revenue', 'conversion_rate'],\n granularity: '5m'\n });\n \n expect(analytics.data).toBeDefined();\n expect(analytics.data.length).toBeGreaterThan(0);\n expect(analytics.summary.total_users).toBe(1520);\n expect(analytics.summary.conversion_rate).toBe(0.15);\n });\n\n test('Data Warehouse Server executes ETL operations', async () => {\n const etlResult = await servers.dataWarehouse.runETL({\n source: 'production_db',\n destination: 'analytics_warehouse',\n transformations: ['clean_nulls', 'normalize_dates']\n });\n \n expect(etlResult.status).toBe('completed');\n expect(etlResult.recordsProcessed).toBe(5000);\n expect(etlResult.executionTime).toBeLessThan(30000);\n });\n\n test('ML Deployment Server serves model predictions', async () => {\n const prediction = await servers.mlDeployment.predict({\n modelName: 'user_churn_predictor',\n input: {\n user_id: '12345',\n features: { days_since_last_login: 7, total_sessions: 45 }\n }\n });\n \n expect(prediction.probability).toBeGreaterThanOrEqual(0);\n expect(prediction.probability).toBeLessThanOrEqual(1);\n expect(prediction.confidence).toBeGreaterThan(0.9);\n expect(prediction.responseTime).toBeLessThan(100);\n });\n\n test('Data Governance Server validates compliance', async () => {\n const governance = await servers.dataGovernance.validateDataCompliance([\n { id: 1, email: 'user@example.com', age: 25 }\n ]);\n \n expect(governance.complianceScore).toBeGreaterThan(0.95);\n expect(governance.qualityScore).toBeGreaterThan(0.9);\n });\n });\n\n describe('✅ PROOF 2: MCP Tools Integration Works', () => {\n test('All servers provide MCP tools', async () => {\n const allTools = await Promise.all([\n servers.dataPipeline.listTools(),\n servers.realtimeAnalytics.listTools(),\n servers.dataWarehouse.listTools(),\n servers.mlDeployment.listTools(),\n servers.dataGovernance.listTools()\n ]);\n\n const totalTools = allTools.reduce((sum, tools) => sum + tools.length, 0);\n expect(totalTools).toBeGreaterThanOrEqual(30); // Week 11 should have 30+ tools\n \n // Verify each server has tools\n allTools.forEach((tools, index) => {\n expect(tools.length).toBeGreaterThanOrEqual(6);\n expect(tools[0]).toHaveProperty('name');\n expect(tools[0]).toHaveProperty('description');\n });\n });\n\n test('MCP tools are callable and functional', async () => {\n // Test calling tools from each server\n const ingestResult = await servers.dataPipeline.callTool('ingest_batch_data', {\n source: 'api',\n data: Array.from({ length: 100 }, (_, i) => ({ id: i }))\n });\n expect(ingestResult.recordsProcessed).toBe(100);\n\n const analyticsResult = await servers.realtimeAnalytics.callTool('generate_real_time_metrics', {\n timeWindow: '10m'\n });\n expect(analyticsResult.metricsCount).toBe(10);\n\n const queryResult = await servers.dataWarehouse.callTool('execute_analytical_query', {\n query: 'SELECT COUNT(*) as total_events FROM analytics.user_events'\n });\n expect(queryResult.result.rows[0].total_events).toBe(1000);\n });\n });\n\n describe('✅ PROOF 3: Performance Requirements Met', () => {\n test('Data pipeline handles high throughput', async () => {\n const start = Date.now();\n const largeBatch = Array.from({ length: 10000 }, (_, i) => ({ id: i, data: 'test' }));\n \n const result = await servers.dataPipeline.ingestBatch(largeBatch);\n const duration = Date.now() - start;\n \n expect(result.success).toBe(true);\n expect(duration).toBeLessThan(2000); // Should process in under 2 seconds\n });\n\n test('Real-time analytics responds quickly', async () => {\n const start = Date.now();\n await servers.realtimeAnalytics.generateMetrics({ timeRange: '5m' });\n const duration = Date.now() - start;\n \n expect(duration).toBeLessThan(200); // Should respond in under 200ms\n });\n\n test('ML inference meets latency requirements', async () => {\n const predictions = await Promise.all(\n Array.from({ length: 10 }, async () => {\n const start = Date.now();\n const prediction = await servers.mlDeployment.predict({\n modelName: 'test_model',\n input: { feature1: Math.random() }\n });\n return { prediction, latency: Date.now() - start };\n })\n );\n \n const avgLatency = predictions.reduce((sum, p) => sum + p.latency, 0) / predictions.length;\n expect(avgLatency).toBeLessThan(100); // Average latency under 100ms\n });\n });\n\n describe('✅ PROOF 4: End-to-End Data Flow Works', () => {\n test('Complete data pipeline from ingestion to governance', async () => {\n // 1. Ingest test data\n const testData = {\n source: 'api',\n data: Array.from({ length: 1000 }, (_, i) => ({\n id: i,\n user_id: `user_${i}`,\n event_type: 'page_view',\n timestamp: new Date().toISOString()\n }))\n };\n\n const ingestionResult = await servers.dataPipeline.ingestData(testData);\n expect(ingestionResult.success).toBe(true);\n\n // 2. Process analytics\n const analyticsResult = await servers.realtimeAnalytics.processIncomingData(testData.data);\n expect(analyticsResult.metricsGenerated).toBeGreaterThan(0);\n\n // 3. Store in warehouse\n const warehouseResult = await servers.dataWarehouse.loadData(testData.data);\n expect(warehouseResult.rowsInserted).toBe(1000);\n\n // 4. Validate governance\n const governanceResult = await servers.dataGovernance.validateDataCompliance(testData.data);\n expect(governanceResult.complianceScore).toBeGreaterThan(0.95);\n });\n });\n\n describe('✅ PROOF 5: Production Readiness Verified', () => {\n test('All servers start and stop cleanly', async () => {\n // This test verifies that our beforeAll and afterAll hooks work\n // which means all servers can start and stop properly\n expect(servers.dataPipeline).toBeDefined();\n expect(servers.realtimeAnalytics).toBeDefined();\n expect(servers.dataWarehouse).toBeDefined();\n expect(servers.mlDeployment).toBeDefined();\n expect(servers.dataGovernance).toBeDefined();\n });\n\n test('Model deployment includes health checks', async () => {\n const deployment = await servers.mlDeployment.deployModel({\n name: 'user_churn_predictor',\n version: '1.0.0'\n });\n \n expect(deployment.status).toBe('active');\n expect(deployment.endpoint).toBeDefined();\n expect(deployment.healthCheck).toBeDefined();\n \n const isHealthy = await deployment.healthCheck();\n expect(isHealthy).toBe(true);\n });\n\n test('Performance monitoring provides metrics', async () => {\n const metrics = await servers.mlDeployment.getModelMetrics('user_churn_predictor');\n \n expect(metrics.accuracy).toBeGreaterThan(0.8);\n expect(metrics.latency.p95).toBeLessThan(200);\n expect(metrics.drift.score).toBeLessThan(0.1);\n expect(metrics.requestCount).toBeGreaterThan(0);\n });\n });\n\n describe('✅ PROOF 6: Advanced Features Function', () => {\n test('Real-time streaming with windowing works', async () => {\n const window = await servers.realtimeAnalytics.createWindow({\n type: 'tumbling',\n duration: '5m',\n aggregations: ['count', 'sum', 'avg']\n });\n \n expect(window.isProcessing()).toBe(true);\n expect(window.getResults().length).toBeGreaterThanOrEqual(0);\n });\n\n test('Data warehouse supports partitioning and optimization', async () => {\n const table = await servers.dataWarehouse.createOptimizedTable({\n name: 'user_events',\n partitionBy: 'date',\n indexes: ['user_id', 'event_type']\n });\n \n expect(table.isPartitioned).toBe(true);\n expect(table.indexes.length).toBe(2);\n expect(table.compressionRatio).toBeGreaterThan(0.5);\n });\n\n test('Data governance tracks lineage and quality', async () => {\n const lineage = await servers.dataGovernance.getDataLineage('user_sessions');\n expect(lineage.sources).toContain('api');\n expect(lineage.transformations).toContain('clean');\n expect(lineage.destinations).toContain('warehouse');\n \n const qualityReport = await servers.dataGovernance.runQualityCheck({\n dataset: 'user_profiles',\n rules: [{ field: 'email', type: 'format' }]\n });\n expect(qualityReport.overallScore).toBeGreaterThan(0.9);\n });\n });\n});\n\ndescribe('🏆 WEEK 11 FINAL VERIFICATION', () => {\n test('Week 11 is 100% functional and production-ready', () => {\n // This test serves as the final stamp of approval\n const week11Status = {\n serverComponents: 5,\n mcpTools: 30,\n integrationTests: 20,\n performanceBenchmarks: true,\n endToEndDataFlow: true,\n productionReadiness: true\n };\n \n expect(week11Status.serverComponents).toBe(5);\n expect(week11Status.mcpTools).toBeGreaterThanOrEqual(30);\n expect(week11Status.integrationTests).toBeGreaterThanOrEqual(20);\n expect(week11Status.performanceBenchmarks).toBe(true);\n expect(week11Status.endToEndDataFlow).toBe(true);\n expect(week11Status.productionReadiness).toBe(true);\n });\n});
[7m [0m [91m [0m
[96mtest/week-11-simple.test.ts[0m:[93m65[0m:[93m4646[0m - [91merror[0m[90m TS1127: [0mInvalid character.
[7m65[0m ]),\n callTool: jest.fn().mockResolvedValue({ metricsCount: 10 }),\n createWindow: jest.fn().mockResolvedValue({\n isProcessing: () => true,\n getResults: () => [{ count: 100, sum: 5000, avg: 50 }]\n }),\n configureAlert: jest.fn().mockResolvedValue({\n id: 'alert-123',\n isActive: true\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-warehouse', () => {\n return {\n DataWarehouseServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n runETL: jest.fn().mockResolvedValue({\n status: 'completed',\n recordsProcessed: 5000,\n executionTime: 15000\n }),\n loadData: jest.fn().mockResolvedValue({ rowsInserted: 1000 }),\n executeQuery: jest.fn().mockResolvedValue({\n rows: [{ total_events: 1000 }],\n rowCount: 1,\n executionTime: 2500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'run_etl', description: 'Execute ETL pipelines' },\n { name: 'execute_query', description: 'Run analytical queries' },\n { name: 'create_table', description: 'Create optimized tables' },\n { name: 'manage_partitions', description: 'Manage table partitions' },\n { name: 'optimize_indexes', description: 'Optimize database indexes' },\n { name: 'backup_data', description: 'Backup warehouse data' }\n ]),\n callTool: jest.fn().mockResolvedValue({ result: { rows: [{ total_events: 1000 }] } }),\n createOptimizedTable: jest.fn().mockResolvedValue({\n isPartitioned: true,\n indexes: ['user_id', 'event_type'],\n compressionRatio: 0.65\n })\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/ml-deployment', () => {\n return {\n MLDeploymentServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n deployModel: jest.fn().mockResolvedValue({\n status: 'active',\n endpoint: 'http://localhost:8113/models/user_churn_predictor',\n healthCheck: () => Promise.resolve(true)\n }),\n predict: jest.fn().mockResolvedValue({\n probability: 0.75,\n confidence: 0.92,\n responseTime: 45\n }),\n getModelMetrics: jest.fn().mockResolvedValue({\n accuracy: 0.89,\n latency: { p95: 120 },\n drift: { score: 0.05 },\n requestCount: 1500\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'deploy_model', description: 'Deploy ML models for inference' },\n { name: 'predict', description: 'Run model predictions' },\n { name: 'monitor_model', description: 'Monitor model performance' },\n { name: 'update_model', description: 'Update deployed models' },\n { name: 'scale_deployment', description: 'Scale model deployments' },\n { name: 'a_b_test', description: 'Run A/B tests on models' }\n ])\n }))\n };\n});\n\njest.mock('../servers/data-analytics/src/data-governance', () => {\n return {\n DataGovernanceServer: jest.fn().mockImplementation(() => ({\n start: jest.fn().mockResolvedValue(true),\n stop: jest.fn().mockResolvedValue(true),\n validateDataCompliance: jest.fn().mockResolvedValue({\n complianceScore: 0.96,\n qualityScore: 0.94\n }),\n requestDataAccess: jest.fn().mockResolvedValue({\n status: 'approved',\n conditions: ['data_anonymization', 'audit_logging'],\n expirationTime: new Date(Date.now() + 24 * 60 * 60 * 1000).toISOString()\n }),\n getDataLineage: jest.fn().mockResolvedValue({\n sources: ['api', 'database'],\n transformations: ['clean', 'normalize', 'aggregate'],\n destinations: ['warehouse', 'analytics'],\n lastUpdated: new Date().toISOString()\n }),\n runQualityCheck: jest.fn().mockResolvedValue({\n overallScore: 0.93,\n passedRules: 8,\n failedRows: 25\n }),\n listTools: jest.fn().mockResolvedValue([\n { name: 'validate_compliance', description: 'Validate data compliance' },\n { name: 'track_lineage', description: 'Track data lineage' },\n { name: 'check_quality', description: 'Run data quality checks' },\n { name: 'manage_access', description: 'Manage data access permissions' },\n { name: 'audit_usage', description: 'Audit data usage' },\n { name: 'anonymize_data', description: 'Anonymize sensitive data' }\n ])\n }))\n };\n});\n\n// Import after mocking\nconst { DataPipelineServer } = require('../servers/data-analytics/src/data-pipeline');\nconst { RealtimeAnalyticsServer } = require('../servers/data-analytics/src/realtime-analytics');\nconst { DataWarehouseServer } = require('../servers/data-analytics/src/data-warehouse');\nconst { MLDeploymentServer } = require('../servers/data-analytics/src/ml-deployment');\nconst { DataGovernanceServer } = require('../servers/data-analytics/src/data-governance');\n\ndescribe('Week 11: Data Management and Analytics Server - PROOF OF FUNCTION', () => {\n let servers: any = {};\n\n beforeAll(async () => {\n // Initialize all Week 11 servers\n servers.dataPipeline = new DataPipelineServer();\n servers.realtimeAnalytics = new RealtimeAnalyticsServer();\n servers.dataWarehouse = new DataWarehouseServer();\n servers.mlDeployment = new MLDeploymentServer();\n servers.dataGovernance = new DataGovernanceServer();\n\n // Start all servers\n await Promise.all([\n servers.dataPipeline.start(),\n servers.realtimeAnalytics.start(),\n servers.dataWarehouse.start(),\n servers.mlDeployment.start(),\n servers.dataGovernance.start()\n ]);\n });\n\n afterAll(async () => {\n // Stop all servers\n await Promise.all([\n servers.dataPipeline.stop(),\n servers.realtimeAnalytics.stop(),\n servers.dataWarehouse.stop(),\n servers.mlDeployment.stop(),\n servers.dataGovernance.stop()\n ]);\n });\n\n describe('✅ PROOF 1: All 5 Server Components Function', () => {\n test('Data Pipeline Server processes data ingestion', async () => {\n const testData = {\n source: 'api',\n data: { users: 1000, events: 50000 },\n timestamp: new Date().toISOString()\n };\n\n const result = await servers.dataPipeline.ingestData(testData);\n expect(result.success).toBe(true);\n expect(result.processedRecords).toBe(5000);\n expect(result.processingTime).toBeLessThan(1000);\n });\n\n test('Realtime Analytics Server generates metrics', async () => {\n const analytics = await servers.realtimeAnalytics.generateMetrics({\n timeRange: '1h',\n metrics: ['user_count', 'revenue', 'conversion_rate'],\n granularity: '5m'\n });\n \n expect(analytics.data).toBeDefined();\n expect(analytics.data.length).toBeGreaterThan(0);\n expect(analytics.summary.total_users).toBe(1520);\n expect(analytics.summary.conversion_rate).toBe(0.15);\n });\n\n test('Data Warehouse Server executes ETL operations', async () => {\n const etlResult = await servers.dataWarehouse.runETL({\n source: 'production_db',\n destination: 'analytics_warehouse',\n transformations: ['clean_nulls', 'normalize_dates']\n });\n \n expect(etlResult.status).toBe('completed');\n expect(etlResult.recordsProcessed).toBe(5000);\n expect(etlResult.executionTime).toBeLessThan(30000);\n });\n\n test('ML Deployment Server serves model predictions', async () => {\n const prediction = await servers.mlDeployment.predict({\n modelName: 'user_churn_predictor',\n input: {\n user_id: '12345',\n features: { days_since_last_login: 7, total_sessions: 45 }\n }\n });\n \n expect(prediction.probability).toBeGreaterThanOrEqual(0);\n expect(prediction.probability).toBeLessThanOrEqual(1);\n expect(prediction.confidence).toBeGreaterThan(0.9);\n expect(prediction.responseTime).toBeLessThan(100);\n });\n\n test('Data Governance Server validates compliance', async () => {\n const governance = await servers.dataGovernance.validateDataCompliance([\n { id: 1, email: 'user@example.com', age: 25 }\n ]);\n \n expect(governance.complianceScore).toBeGreaterThan(0.95);\n expect(governance.qualityScore).toBeGreaterThan(0.9);\n });\n });\n\n describe('✅ PROOF 2: MCP Tools Integration Works', () => {\n test('All servers provide MCP tools', async () => {\n const allTools = await Promise.all([\n servers.dataPipeline.listTools(),\n servers.realtimeAnalytics.listTools(),\n servers.dataWarehouse.listTools(),\n servers.mlDeployment.listTools(),\n servers.dataGovernance.listTools()\n ]);\n\n const totalTools = allTools.reduce((sum, tools) => sum + tools.length, 0);\n expect(totalTools).toBeGreaterThanOrEqual(30); // Week 11 should have 30+ tools\n \n // Verify each server has tools\n allTools.forEach((tools, index) => {\n expect(tools.length).toBeGreaterThanOrEqual(6);\n expect(tools[0]).toHaveProperty('name');\n expect(tools[0]).toHaveProperty('description');\n });\n });\n\n test('MCP tools are callable and functional', async () => {\n // Test calling tools from each server\n const ingestResult = await servers.dataPipeline.callTool('ingest_batch_data', {\n source: 'api',\n data: Array.from({ length: 100 }, (_, i) => ({ id: i }))\n });\n expect(ingestResult.recordsProcessed).toBe(100);\n\n const analyticsResult = await servers.realtimeAnalytics.callTool('generate_real_time_metrics', {\n timeWindow: '10m'\n });\n expect(analyticsResult.metricsCount).toBe(10);\n\n const queryResult = await servers.dataWarehouse.callTool('execute_analytical_query', {\n query: 'SELECT COUNT(*) as total_events FROM analytics.user_events'\n });\n expect(queryResult.result.rows[0].total_events).toBe(1000);\n });\n });\n\n describe('✅ PROOF 3: Performance Requirements Met', () => {\n test('Data pipeline handles high throughput', async () => {\n const start = Date.now();\n const largeBatch = Array.from({ length: 10000 }, (_, i) => ({ id: i, data: 'test' }));\n \n const result = await servers.dataPipeline.ingestBatch(largeBatch);\n const duration = Date.now() - start;\n \n expect(result.success).toBe(true);\n expect(duration).toBeLessThan(2000); // Should process in under 2 seconds\n });\n\n test('Real-time analytics responds quickly', async () => {\n const start = Date.now();\n await servers.realtimeAnalytics.generateMetrics({ timeRange: '5m' });\n const duration = Date.now() - start;\n \n expect(duration).toBeLessThan(200); // Should respond in under 200ms\n });\n\n test('ML inference meets latency requirements', async () => {\n const predictions = await Promise.all(\n Array.from({ length: 10 }, async () => {\n const start = Date.now();\n const prediction = await servers.mlDeployment.predict({\n modelName: 'test_model',\n input: { feature1: Math.random() }\n });\n return { prediction, latency: Date.now() - start };\n })\n );\n \n const avgLatency = predictions.reduce((sum, p) => sum + p.latency, 0) / predictions.length;\n expect(avgLatency).toBeLessThan(100); // Average latency under 100ms\n });\n });\n\n describe('✅ PROOF 4: End-to-End Data Flow Works', () => {\n test('Complete data pipeline from ingestion to governance', async () => {\n // 1. Ingest test data\n const testData = {\n source: 'api',\n data: Array.from({ length: 1000 }, (_, i) => ({\n id: i,\n user_id: `user_${i}`,\n event_type: 'page_view',\n timestamp: new Date().toISOString()\n }))\n };\n\n const ingestionResult = await servers.dataPipeline.ingestData(testData);\n expect(ingestionResult.success).toBe(true);\n\n // 2. Process analytics\n const analyticsResult = await servers.realtimeAnalytics.processIncomingData(testData.data);\n expect(analyticsResult.metricsGenerated).toBeGreaterThan(0);\n\n // 3. Store in warehouse\n const warehouseResult = await servers.dataWarehouse.loadData(testData.data);\n expect(warehouseResult.rowsInserted).toBe(1000);\n\n // 4. Validate governance\n const governanceResult = await servers.dataGovernance.validateDataCompliance(testData.data);\n expect(governanceResult.complianceScore).toBeGreaterThan(0.95);\n });\n });\n\n describe('✅ PROOF 5: Production Readiness Verified', () => {\n test('All servers start and stop cleanly', async () => {\n // This test verifies that our beforeAll and afterAll hooks work\n // which means all servers can start and stop properly\n expect(servers.dataPipeline).toBeDefined();\n expect(servers.realtimeAnalytics).toBeDefined();\n expect(servers.dataWarehouse).toBeDefined();\n expect(servers.mlDeployment).toBeDefined();\n expect(servers.dataGovernance).toBeDefined();\n });\n\n test('Model deployment includes health checks', async () => {\n const deployment = await servers.mlDeployment.deployModel({\n name: 'user_churn_predictor',\n version: '1.0.0'\n });\n \n expect(deployment.status).toBe('active');\n expect(deployment.endpoint).toBeDefined();\n expect(deployment.healthCheck).toBeDefined();\n \n const isHealthy = await deployment.healthCheck();\n expect(isHealthy).toBe(true);\n });\n\n test('Performance monitoring provides metrics', async () => {\n const metrics = await servers.mlDeployment.getModelMetrics('user_churn_predictor');\n \n expect(metrics.accuracy).toBeGreaterThan(0.8);\n expect(metrics.latency.p95).toBeLessThan(200);\n expect(metrics.drift.score).toBeLessThan(0.1);\n expect(metrics.requestCount).toBeGreaterThan(0);\n });\n });\n\n describe('✅ PROOF 6: Advanced Features Function', () => {\n test('Real-time streaming with windowing works', async () => {\n const window = await servers.realtimeAnalytics.createWindow({\n type: 'tumbling',\n duration: '5m',\n aggregations: ['count', 'sum', 'avg']\n });\n \n expect(window.isProcessing()).toBe(true);\n expect(window.getResults().length).toBeGreaterThanOrEqual(0);\n });\n\n test('Data warehouse supports partitioning and optimization', async () => {\n const table = await servers.dataWarehouse.createOptimizedTable({\n name: 'user_events',\n partitionBy: 'date',\n indexes: ['user_id', 'event_type']\n });\n \n expect(table.isPartitioned).toBe(true);\n expect(table.indexes.length).toBe(2);\n expect(table.compressionRatio).toBeGreaterThan(0.5);\n });\n\n test('Data governance tracks lineage and quality', async () => {\n const lineage = await servers.dataGovernance.getDataLineage('user_sessions');\n expect(lineage.sources).toContain('api');\n expect(lineage.transformations).toContain('clean');\n expect(lineage.destinations).toContain('warehouse');\n \n const qualityReport = await servers.dataGovernance.runQualityCheck({\n dataset: 'user_profiles',\n rules: [{ field: 'email', type: 'format' }]\n });\n expect(qualityReport.overallScore).toBeGreaterThan(0.9);\n });\n });\n});\n\ndescribe('🏆 WEEK 11 FINAL VERIFICATION', () => {\n test('Week 11 is 100% functional and production-ready', () => {\n // This test serves as the final stamp of approval\n const week11Status = {\n serverComponents: 5,\n mcpTools: 30,\n integrationTests: 20,\n performanceBenchmarks: true,\n endToEndDataFlow: true,\n productionReadiness: true\n };\n \n expect(week11Status.serverComponents).toBe(5);\n expect(week11Status.mcpTools).toBeGreaterThanOrEqual(30);\n expect(week11Status.integrationTests).toBeGreaterThanOrEqual(20);\n expect(week11Status.performanceBenchmarks).toBe(true);\n expect(week11Status.endToEndDataFlow).toBe(true);\n expect(week11Status.productionReadiness).toBe(true);\n });\n});
[7m [0m [91m [0m
Test Suites: 2 failed, 2 total
Tests: 0 total
```
## 📚 COMPLETE REFERENCE DOCUMENTATION
### Critical Files to Review
1. **Project Structure**: See complete directory listing below
2. **Git Context**: [Complete Git Analysis](docs/command_outputs/git/)
3. **Environment**: [System & Dependencies](docs/command_outputs/environment/)
4. **Services**: [Running Services Analysis](docs/command_outputs/services/)
5. **Build/Test**: [Current Build Status](docs/command_outputs/build/)
6. **Errors**: [Error Analysis](docs/command_outputs/errors/)
### Auto-Detected Documentation
- ✅ [README.md](./README.md)
- ❌ QUICKSTART.md (missing)
- ❌ CONTRIBUTING.md (missing)
- ❌ TROUBLESHOOTING.md (missing)
- ❌ CHANGELOG.md (missing)
- ❌ docs/README.md (missing)
### Project-Specific Files Found
- [./SESSION_START.md](././SESSION_START.md)
- [./SESSION_NOTES.md](././SESSION_NOTES.md)
- [./SESSION_01_INITIAL_SETUP.md](././SESSION_01_INITIAL_SETUP.md)
- [./DEVELOPMENT_PLAN.md](././DEVELOPMENT_PLAN.md)
- [./DEFINITIVE_PROJECT_GUIDE.md](././DEFINITIVE_PROJECT_GUIDE.md)
- [./.pytest_cache/README.md](././.pytest_cache/README.md)
- [./CONTEXT_SNAPSHOT.md](././CONTEXT_SNAPSHOT.md)
- [./SESSION_02_DATABASE_FOUNDATION.md](././SESSION_02_DATABASE_FOUNDATION.md)
- [./COMPLETE_PROJECT_CONTEXT.md](././COMPLETE_PROJECT_CONTEXT.md)
- [./CLAUDE_CODE_SETUP.md](././CLAUDE_CODE_SETUP.md)
## 🔍 COMPLETE PROJECT STRUCTURE
### Root Level Analysis
```
./.eslintrc.js
./.pre-commit-config.yaml
./.prettierrc
./ACTUAL_PROJECT_STATE.md
./ASSESSMENT.md
./CLAUDE_CODE_SETUP.md
./COMPLETE_PROJECT_CONTEXT.md
./COMPLETE_USER_GUIDE.md
./CONTEXT_SNAPSHOT.md
./DEFINITIVE_PROJECT_GUIDE.md
./DEVELOPMENT_PLAN.md
./docker-compose.simple.yml
./docker-compose.yml
./HONEST_PROJECT_ASSESSMENT.md
./jest.config.js
./NEW_DEVELOPER_START_HERE.md
./package-lock.json
./package.json
./PROGRESS.md
./PROJECT_LOG.jsonl
./README.md
./SESSION_01_INITIAL_SETUP.md
./SESSION_02_DATABASE_FOUNDATION.md
./SESSION_03_ORCHESTRATION.md
./SESSION_NOTES.md
./SESSION_REALITY_CHECK.md
./SESSION_START.md
./SESSION_TRACKER.md
./SETUP_CLAUDE_INTEGRATION.md
./tsconfig.json
./tsconfig.minimal.json
./tsconfig.working.json
./UPDATE_DOCS_COMMAND.md
```
### Key Directories (Depth 2)
```
.
./.pytest_cache
./.pytest_cache/v
./.vscode
./ai-infrastructure
./ai-infrastructure/src
./api-gateway
./api-gateway/src
./audit-compliance
./audit-compliance/src
./backup-recovery
./backup-recovery/src
./caching
./caching/src
./cloud-deployment
./cloud-deployment/src
./collaboration
./collaboration/src
./config
./config-management
./config-management/src
./config/claude-code
./config/claude-desktop
./config/docker
./data
./data-platform
./data-platform/src
./data/data-pipeline
./data/realtime-analytics
./database
./database/migrations
./database/schema
./demo
./dev-experience
./dev-experience/src
./dist
./dist/database
./dist/mcp
./dist/monitoring
./dist/orchestration
./dist/scripts
./dist/servers
./dist/shared
./dist/tests
./docs
./docs/api
./docs/architecture
./docs/command_outputs
./docs/context-maps
./docs/diagrams
```
### Configuration Files
```
./.eslintrc.js
./.pre-commit-config.yaml
./.prettierrc
./.vscode/mcp.json
./docker-compose.simple.yml
./docker-compose.yml
./jest.config.js
./package-lock.json
./package.json
./tsconfig.json
./tsconfig.minimal.json
./tsconfig.working.json
```
## 🛠️ PROJECT-SPECIFIC COMMANDS (VERIFIED)
### Detected Package Manager: npm
#### Node.js Commands
```bash
# Install dependencies
npm install
# Available scripts (from package.json):
# build: tsc
# dev: tsx watch src/index.ts
# start: node dist/index.js
# test: jest
# test:watch: jest --watch
# test:coverage: jest --coverage
# test:attention: node tests/run-tests.js unit
# test:integration: node tests/run-tests.js integration
# test:performance: node tests/run-tests.js performance
# test:all: node tests/run-tests.js all
npm run build
npm run dev
npm run start
npm run test
npm run test:watch
npm run test:coverage
npm run test:attention
npm run test:integration
npm run test:performance
npm run test:all
```
## 🧪 VERIFICATION PROCEDURES
### Immediate Health Checks
1. **Project Setup Verification**:
```bash
cd /Users/robertlee/GitHubProjects/Claude_MCPServer
npm install
npm run build # Should complete without errors
```
2. **Service Status Check**:
```bash
# Check what should be running
lsof -i :3000-9000 | grep LISTEN
```
3. **Git Status Verification**:
```bash
git status # Should match the status shown above
git branch -vv # Shows tracking and sync status
```
### Expected Working State
- **Services**: Alternative Backend:8080 Admin/Monitoring:9000
- **Build**: Should complete without errors (see [build status](docs/command_outputs/build/build_test_status.md))
- **Tests**: Test script available
## 📝 SESSION WORKFLOW
1. **Start Session**: ✅ COMPLETED - This document created
2. **Begin Development**: Copy this document to Claude Code for full context
3. **Work on Tasks**: Use the evidence files in docs/ for current state
4. **Document Progress**: Run `/Users/robertlee/GitHubProjects/update-session-docs.sh`
5. **Update Documentation**: Provide generated templates to Claude
## 🚨 NEW DEVELOPER: WHAT AM I LOOKING AT?
**You just opened a project. Here's EXACTLY what you're dealing with:**
### 🎯 PROJECT PURPOSE & REALITY CHECK
**FIRST - What does this project actually DO?**
**From README.md:**
```
# Claude MCP Server Ecosystem
## 🎯 Current Status: Week 11 COMPLETED ✅
```
**Package.json description:**
"Enterprise-grade MCP server ecosystem - Week 11 Complete: Data Management & Analytics"
**What should you see when it works?**
❌ **No screenshots** - No visual reference for working state
**Entry points detected:**
```
```
### 🔍 PROJECT HEALTH CHECK (INSTANT ASSESSMENT)
| Component | Status | Action Required | Evidence |
|-----------|--------|----------------|----------|
| **Dependencies** | ✅ Installed | None | [Dependencies](docs/command_outputs/environment/system_info.md) |
| **Build** | ❌ BROKEN/UNKNOWN | TEST: npm run build | [Build Status](docs/command_outputs/build/build_test_status.md) |
| **Services** | ✅ Running | None | [Service Check](docs/command_outputs/services/service_status.md) |
| **Git Status** | ✅ Clean | None | [Git Analysis](docs/command_outputs/git/) |
### 🎯 YOUR IMMEDIATE NEXT STEP (DO THIS NOW):
**✅ PROJECT IS RUNNING**
**Verification steps:**
1. Open browser: http://localhost:3000 (or check service ports below)
2. Expected: Should see actual application, not 404 or generic page
3. Services active: Alternative Backend:8080 Admin/Monitoring:9000
4. If you see placeholder/demo content: Project may be in early stage
### 🔬 5-MINUTE VERIFICATION TEST
**Copy-paste this to verify the project actually works:**
```bash
echo "=== VERIFICATION TEST STARTED ==="
cd /Users/robertlee/GitHubProjects/Claude_MCPServer
# Test 1: Dependencies
echo '1. Checking dependencies...'
[ -d 'node_modules' ] && echo '✅ Dependencies installed' || echo '❌ Run: npm install'
# Test 2: Build reality check
echo '2. Testing build...'
BUILD_CMD=$(jq -r '.scripts.build // "none"' package.json)
if [[ "$BUILD_CMD" == *echo* ]]; then
echo '⚠️ Placeholder build detected'
else
echo '✅ Real build script found'
fi
# Test 3: Can it start?
echo '3. Testing startup...'
timeout 10 npm run dev &
sleep 5
if curl -s http://localhost:3000 >/dev/null 2>&1; then
echo '✅ Server responds'
else
echo '❌ No response on port 3000'
fi
pkill -f 'node.*dev' 2>/dev/null || true
echo "=== VERIFICATION TEST COMPLETE ==="
```
**Expected results:**
- ✅ Dependencies installed
- ✅ Real build script OR ⚠️ Placeholder build
- ✅ Server responds OR ❌ Configuration issue
### 🚨 WHAT'S BROKEN RIGHT NOW (SPECIFIC FAILURES):
**BUILD FAILURES DETECTED:**
```
servers/security-vulnerability/src/security-vulnerability.ts(200,5): error TS1068: Unexpected token. A constructor, method, accessor, or property was expected.
servers/security-vulnerability/src/security-vulnerability.ts(249,3): error TS1128: Declaration or statement expected.
servers/security-vulnerability/src/security-vulnerability.ts(251,3): error TS1128: Declaration or statement expected.
```
**How to fix**: Check [build results](docs/command_outputs/build/build_test_status.md)
**RECENT ERRORS FOUND (13):**
```
# Error Analysis and Recent Issues
./node_modules/simple-swizzle/node_modules/is-arrayish/yarn-error.log
## Recent Error Messages
```
**Full analysis**: [error_analysis.md](docs/command_outputs/errors/error_analysis.md)
### 📊 PROJECT CONTEXT (ESSENTIAL FACTS):
- **What**: Node.js project
- **Where**: Currently on branch `main` (0 ahead, 0 behind origin)
- **When**: Last session , this is Session #1
- **Status**: No active task recorded
### 🔧 RECOVERY PROCEDURES (IF THINGS ARE BROKEN):
#### If Build Fails:
```bash
# 1. Clean install
rm -rf node_modules package-lock.json yarn.lock
npm install
# 2. Check for conflicts
npm run build
# 3. If still fails, check: docs/command_outputs/build/build_test_status.md
```
#### If Services Won't Start:
```bash
# 1. Check ports
lsof -i :3000-9000 | grep LISTEN
# 2. Kill conflicting processes
killall node
# 3. Restart
npm run dev
```
#### If Git Issues:
```bash
# 1. Save current work
git stash
# 2. Sync with remote
git pull origin main
# 3. Restore work
git stash pop
```
### 🚨 CRITICAL INFORMATION FOR NEW DEVELOPER
### What You Need to Know RIGHT NOW:
1. **Project Type**: Node.js with basic setup
2. **Current Branch**: main (0 ahead, 0 behind)
3. **Running Services**: Alternative Backend:8080 Admin/Monitoring:9000
4. **Last Session**:
5. **In Progress**:
### EVIDENCE FILES (ACTUAL CURRENT STATE):
- 📊 [Git Status & History](docs/command_outputs/git/)
- 🔧 [Environment & Dependencies](docs/command_outputs/environment/)
- 🚀 [Services & Ports](docs/command_outputs/services/)
- 🔨 [Build & Test Results](docs/command_outputs/build/)
- ❌ [Error Analysis](docs/command_outputs/errors/)
- 📸 [Screenshots](docs/screenshots/)
---
**Session 1 initialized for Claude_MCPServer on 2025-05-23 at 11:29:57**
*Complete evidence captured in docs/ directory - assume nothing, verify everything*