#!/usr/bin/env node
// Demonstrate cognitive learning from compilation errors
// This simulates how the MCP cognitive system would learn and improve itself
const fs = require('fs');
const path = require('path');
// Simple JavaScript class for demonstration
function CognitiveLearningDemonstration() {
this.episodes = [];
this.patterns = new Map();
async demonstrateLearningCycle() {
console.log('š Starting Cognitive Learning Cycle Demonstration\n');
// Phase 1: Error Analysis
console.log('š Phase 1: Analyzing Compilation Errors');
const errors = await this.analyzeCompilationErrors();
console.log(`Found ${errors.length} compilation errors across packages\n`);
// Phase 2: Episode Creation
console.log('šÆ Phase 2: Creating Learning Episodes');
const episodes = this.createEpisodesFromErrors(errors);
this.episodes.push(...episodes);
console.log(`Created ${episodes.length} learning episodes\n`);
// Phase 3: Pattern Synthesis
console.log('š Phase 3: Synthesizing Patterns');
const patterns = this.synthesizePatterns(episodes);
console.log(`Discovered ${patterns.length} patterns\n`);
// Phase 4: Solution Generation
console.log('š” Phase 4: Generating Solutions');
const solutions = await this.generateSolutions(patterns);
console.log(`Generated ${solutions.length} solution approaches\n`);
// Phase 5: Self-Improvement
console.log('š Phase 5: Applying Self-Improvement');
const improvements = await this.applyImprovements(solutions);
console.log(`Applied ${improvements.length} improvements\n`);
// Phase 6: Validation
console.log('ā
Phase 6: Validating Improvements');
const validation = await this.validateImprovements();
console.log(`Validation: ${validation.success ? 'PASSED' : 'NEEDS WORK'}\n`);
// Phase 7: Learning Insights
console.log('š Phase 7: Generating Learning Insights');
const insights = this.generateInsights(episodes, patterns, validation);
console.log('Key Insights:');
insights.forEach((insight, i) => console.log(` ${i + 1}. ${insight}`));
console.log();
// Phase 8: Future Recommendations
console.log('šÆ Phase 8: Future Learning Recommendations');
const recommendations = this.generateRecommendations();
recommendations.forEach((rec, i) => console.log(` ${i + 1}. ${rec}`));
console.log();
console.log('š Cognitive Learning Cycle Complete!');
console.log(`š Summary: ${this.episodes.length} episodes, ${patterns.length} patterns, ${insights.length} insights`);
}
private async analyzeCompilationErrors(): Promise<CompilationError[]> {
const errors: CompilationError[] = [];
// Analyze mcp-devtools-unified errors
const devtoolsErrors = [
{
file: 'src/adapters/mcp-prompts-client.ts',
line: 1,
column: 30,
errorCode: 'TS2307',
message: "Cannot find module 'flatbuffers'",
severity: 'error' as const,
category: 'missing-dependency'
},
{
file: 'src/adapters/mcp-prompts-client.ts',
line: 3,
column: 37,
errorCode: 'TS2307',
message: "Cannot find module '@sparesparrow/mcp-fbs'",
severity: 'error' as const,
category: 'missing-dependency'
},
{
file: 'src/domains/code-intel/index.ts',
line: 2,
column: 34,
errorCode: 'TS2307',
message: "Cannot find module './cppcheck-analyzer.js'",
severity: 'error' as const,
category: 'missing-file'
},
{
file: 'src/domains/code-intel/code-intelligence.service.ts',
line: 418,
column: 34,
errorCode: 'TS2802',
message: "Type 'Set<string>' can only be iterated with --downlevelIteration",
severity: 'error' as const,
category: 'typescript-target'
}
];
// Analyze mcp-embedded-coordinator errors
const coordinatorErrors = [
{
file: 'src/mcp/embedded-coordinator-server.ts',
line: 9,
column: 34,
errorCode: 'TS2307',
message: "Cannot find module '@sparesparrow/mcp-prompts'",
severity: 'error' as const,
category: 'missing-dependency'
}
];
errors.push(...devtoolsErrors, ...coordinatorErrors);
return errors;
}
private createEpisodesFromErrors(errors: CompilationError[]): LearningEpisode[] {
const episodes: LearningEpisode[] = [];
// Group errors by category
const errorGroups = new Map<string, CompilationError[]>();
for (const error of errors) {
if (!errorGroups.has(error.category)) {
errorGroups.set(error.category, []);
}
errorGroups.get(error.category)!.push(error);
}
// Create episodes for each error category
for (const [category, categoryErrors] of errorGroups) {
const episode: LearningEpisode = {
problem: `TypeScript compilation errors in ${category} category`,
symptoms: categoryErrors.map(e => e.message),
investigation: [
`Analyzed ${categoryErrors.length} errors in ${category} category`,
'Checked package.json dependencies',
'Verified file existence',
'Reviewed TypeScript configuration'
],
solution: this.generateSolutionForCategory(category, categoryErrors),
outcome: 'success',
cognitive_load: categoryErrors.length * 2, // Higher cognitive load for more errors
tags: ['typescript', 'compilation', category, 'learning']
};
episodes.push(episode);
}
return episodes;
}
private generateSolutionForCategory(category: string, errors: CompilationError[]): string {
switch (category) {
case 'missing-dependency':
return 'Install missing dependencies and update package.json';
case 'missing-file':
return 'Create missing implementation files or update imports';
case 'typescript-target':
return 'Update TypeScript target or add downlevelIteration flag';
default:
return 'Apply general TypeScript compilation error fixes';
}
}
private synthesizePatterns(episodes: LearningEpisode[]): any[] {
const patterns: any[] = [];
// Pattern 1: Missing dependency pattern
const missingDepEpisodes = episodes.filter(e =>
e.symptoms.some(s => s.includes('Cannot find module'))
);
if (missingDepEpisodes.length > 0) {
patterns.push({
id: 'missing-dependency-pattern',
name: 'Missing Dependency Resolution',
description: 'Pattern for resolving missing module dependencies in TypeScript projects',
confidence: 0.85,
occurrences: missingDepEpisodes.length,
solution: 'Install missing packages and update package.json dependencies',
prevention: 'Use dependency analysis tools before compilation'
});
}
// Pattern 2: TypeScript target issues
const tsTargetEpisodes = episodes.filter(e =>
e.symptoms.some(s => s.includes('downlevelIteration') || s.includes('target'))
);
if (tsTargetEpisodes.length > 0) {
patterns.push({
id: 'typescript-target-pattern',
name: 'TypeScript Target Compatibility',
description: 'Pattern for handling TypeScript target and iteration issues',
confidence: 0.90,
occurrences: tsTargetEpisodes.length,
solution: 'Update tsconfig.json target to ES2015+ or add --downlevelIteration',
prevention: 'Use consistent TypeScript targets across projects'
});
}
return patterns;
}
private async generateSolutions(patterns: any[]): Promise<any[]> {
const solutions: any[] = [];
for (const pattern of patterns) {
const solution = {
patternId: pattern.id,
title: `Solution for ${pattern.name}`,
steps: this.generateSolutionSteps(pattern),
automated: true,
confidence: pattern.confidence,
estimatedTime: this.estimateSolutionTime(pattern)
};
solutions.push(solution);
}
return solutions;
}
private generateSolutionSteps(pattern: any): string[] {
switch (pattern.id) {
case 'missing-dependency-pattern':
return [
'Identify missing packages from error messages',
'Check if packages are available in workspace',
'Add dependencies to package.json',
'Run npm/pnpm install',
'Verify imports are correct'
];
case 'typescript-target-pattern':
return [
'Check current TypeScript target in tsconfig.json',
'Update target to ES2015 or higher',
'Add --downlevelIteration flag if needed',
'Rebuild and test compilation'
];
default:
return ['Analyze error details', 'Apply appropriate fix', 'Test solution'];
}
}
private estimateSolutionTime(pattern: any): number {
// Estimate time based on pattern complexity
const baseTime = 5; // 5 minutes base
const complexityMultiplier = pattern.occurrences || 1;
return Math.min(baseTime * complexityMultiplier, 60); // Max 1 hour
}
private async applyImprovements(solutions: any[]): Promise<any[]> {
const improvements: any[] = [];
for (const solution of solutions) {
console.log(` Applying: ${solution.title}`);
// Simulate applying the solution
const improvement = {
solutionId: solution.patternId,
applied: true,
timestamp: new Date().toISOString(),
automatedSteps: solution.steps.length,
estimatedTime: solution.estimatedTime
};
improvements.push(improvement);
}
return improvements;
}
private async validateImprovements(): Promise<{ success: boolean; details: string[] }> {
// Simulate validation by checking if fixes would work
const validation = {
success: true,
details: [
'Dependency issues resolved by installing missing packages',
'TypeScript target updated to ES2015+',
'Missing files created with stub implementations',
'Type safety improved with proper imports'
]
};
return validation;
}
private generateInsights(episodes: LearningEpisode[], patterns: any[], validation: any): string[] {
const insights: string[] = [];
// Learning effectiveness
const successRate = episodes.filter(e => e.outcome === 'success').length / episodes.length;
insights.push(`Learning effectiveness: ${(successRate * 100).toFixed(1)}% success rate`);
// Pattern discovery
insights.push(`Discovered ${patterns.length} reusable patterns from ${episodes.length} episodes`);
// Error categorization
const errorCategories = new Set(episodes.flatMap(e => e.tags));
insights.push(`Identified ${errorCategories.size} distinct error categories for targeted learning`);
// Improvement potential
if (validation.success) {
insights.push('Self-improvement loop successfully resolved compilation issues');
}
return insights;
}
private generateRecommendations(): string[] {
return [
'Implement pre-compilation dependency checking',
'Add automated TypeScript target validation',
'Create template files for common missing implementations',
'Enhance error pattern recognition for faster resolution',
'Implement proactive dependency management',
'Add compilation error prediction based on code changes'
];
}
// Public method to demonstrate the full cycle
async runDemonstration() {
console.log('š§ MCP Cognitive Platform - Self-Improvement Demonstration\n');
console.log('Scenario: Resolving TypeScript compilation errors through cognitive learning\n');
await this.demonstrateLearningCycle();
console.log('\nšÆ Key Demonstrated Capabilities:');
console.log(' ā
Error pattern recognition and categorization');
console.log(' ā
Episode creation from problem-solving experiences');
console.log(' ā
Pattern synthesis from multiple similar episodes');
console.log(' ā
Automated solution generation');
console.log(' ā
Self-improvement through applied learning');
console.log(' ā
Validation and continuous improvement');
console.log(' ā
Insight generation for future learning');
console.log(' ā
Proactive recommendation system');
}
}
// Run the demonstration
const demo = new CognitiveLearningDemonstration();
demo.runDemonstration().catch(console.error);
