Congo River Compositional Intelligence

/** * Language Selection Scoring System * Meta-level decision engine for choosing optimal implementation language * * Embodies compositional intelligence: each component should be implemented * in the language best suited to its requirements. */ export type ProgrammingLanguage = 'TypeScript' | 'Python' | 'Prolog' | 'Rust' | 'Go'; export interface ComponentRequirements { needsLogic: boolean | number; // Logic programming, theorem proving needsGraphOps: boolean | number; // RDF, SPARQL, graph algorithms needsTypeSystem: boolean | number; // Strong static typing needsPerformance: boolean | number; // High-performance computing needsMLLibraries: boolean | number; // Machine learning, NLP needsSemanticWeb: boolean | number; // RDF, OWL, ontologies needsConcurrency: boolean | number; // Async/parallel processing needsWebIntegration: boolean | number; // HTTP, REST, SSE needsDataScience: boolean | number; // Numerical computing, data analysis } export interface LanguageScoreReasoning { ecosystem: number; // Library availability (0-10) performance: number; // Runtime speed (0-10) typing: number; // Type safety (0-10) interop: number; // Integration ease (0-10) expertise: number; // Development ease (0-10) } export interface LanguageScore { language: ProgrammingLanguage; score: number; reasoning: LanguageScoreReasoning; rationale: string; strengths: string[]; weaknesses: string[]; } /** * Language capability matrix * Scores represent inherent strengths (0-10 scale) */ const LANGUAGE_CAPABILITIES: Record<ProgrammingLanguage, Record<keyof ComponentRequirements, number>> = { TypeScript: { needsLogic: 6, needsGraphOps: 6, needsTypeSystem: 10, needsPerformance: 8, needsMLLibraries: 5, needsSemanticWeb: 6, needsConcurrency: 9, needsWebIntegration: 10, needsDataScience: 4, }, Python: { needsLogic: 8, needsGraphOps: 10, needsTypeSystem: 6, needsPerformance: 6, needsMLLibraries: 10, needsSemanticWeb: 10, needsConcurrency: 7, needsWebIntegration: 9, needsDataScience: 10, }, Prolog: { needsLogic: 10, needsGraphOps: 5, needsTypeSystem: 7, needsPerformance: 7, needsMLLibraries: 3, needsSemanticWeb: 5, needsConcurrency: 5, needsWebIntegration: 4, needsDataScience: 3, }, Rust: { needsLogic: 5, needsGraphOps: 7, needsTypeSystem: 10, needsPerformance: 10, needsMLLibraries: 6, needsSemanticWeb: 5, needsConcurrency: 10, needsWebIntegration: 8, needsDataScience: 5, }, Go: { needsLogic: 5, needsGraphOps: 6, needsTypeSystem: 8, needsPerformance: 9, needsMLLibraries: 4, needsSemanticWeb: 5, needsConcurrency: 10, needsWebIntegration: 9, needsDataScience: 4, }, }; /** * Language ecosystem scores (independent of requirements) */ const LANGUAGE_ECOSYSTEM: Record<ProgrammingLanguage, LanguageScoreReasoning> = { TypeScript: { ecosystem: 9, performance: 8, typing: 10, interop: 9, expertise: 9, }, Python: { ecosystem: 10, performance: 6, typing: 6, interop: 9, expertise: 10, }, Prolog: { ecosystem: 5, performance: 7, typing: 7, interop: 5, expertise: 5, }, Rust: { ecosystem: 7, performance: 10, typing: 10, interop: 7, expertise: 6, }, Go: { ecosystem: 8, performance: 9, typing: 8, interop: 8, expertise: 8, }, }; /** * Language-specific strengths and weaknesses */ const LANGUAGE_CHARACTERISTICS = { TypeScript: { strengths: [ 'Excellent type system with inference', 'Great async/await for concurrency', 'Rich web ecosystem (Express, NestJS)', 'Strong IDE support and tooling', 'Easy Node.js integration', ], weaknesses: [ 'Limited ML/AI libraries compared to Python', 'Not ideal for heavy numerical computation', 'Smaller semantic web ecosystem', ], }, Python: { strengths: [ 'Best-in-class ML/AI ecosystem (PyTorch, TensorFlow)', 'Excellent semantic web libraries (rdflib, owlready2)', 'Rich data science tools (NumPy, pandas)', 'Clear, readable syntax', 'Extensive NLP tools (spaCy, NLTK)', ], weaknesses: [ 'Weaker type system (even with type hints)', 'Slower runtime performance', 'GIL limits true parallelism', ], }, Prolog: { strengths: [ 'Native logic programming and theorem proving', 'Built-in backtracking and unification', 'Excellent for rule-based systems', 'Declarative problem solving', ], weaknesses: [ 'Limited general-purpose libraries', 'Steeper learning curve', 'Smaller community and ecosystem', 'Harder to integrate with modern web stacks', ], }, Rust: { strengths: [ 'Memory safety without garbage collection', 'Exceptional performance', 'Excellent concurrency model', 'Strong type system', ], weaknesses: [ 'Steeper learning curve', 'Longer development time', 'Smaller ML/AI ecosystem', 'Overkill for many tasks', ], }, Go: { strengths: [ 'Simple, clean syntax', 'Excellent concurrency (goroutines)', 'Fast compilation and execution', 'Great for microservices', ], weaknesses: [ 'Limited ML/AI libraries', 'No generics (until recently)', 'Smaller semantic web ecosystem', ], }, }; /** * Score languages for given requirements */ export function scoreLanguages( requirements: ComponentRequirements, weights?: Partial<ComponentRequirements> ): LanguageScore[] { const defaultWeights: ComponentRequirements = { needsLogic: 1.0, needsGraphOps: 1.0, needsTypeSystem: 1.0, needsPerformance: 1.0, needsMLLibraries: 1.0, needsSemanticWeb: 1.0, needsConcurrency: 1.0, needsWebIntegration: 1.0, needsDataScience: 1.0, ...weights, }; const languages: ProgrammingLanguage[] = ['TypeScript', 'Python', 'Prolog', 'Rust', 'Go']; const scores: LanguageScore[] = []; for (const language of languages) { const capabilities = LANGUAGE_CAPABILITIES[language]; const ecosystem = LANGUAGE_ECOSYSTEM[language]; const characteristics = LANGUAGE_CHARACTERISTICS[language]; // Calculate requirement match score let requirementScore = 0; let totalWeight = 0; for (const [req, value] of Object.entries(requirements) as [keyof ComponentRequirements, boolean | number][]) { if (value) { const weight = defaultWeights[req] as number; const capability = capabilities[req]; requirementScore += capability * weight; totalWeight += 10 * weight; // Max score is 10 } } // Normalize requirement score (0-100) const normalizedReqScore = totalWeight > 0 ? (requirementScore / totalWeight) * 100 : 0; // Calculate ecosystem score (0-100) const ecosystemScore = ((ecosystem.ecosystem + ecosystem.performance + ecosystem.typing + ecosystem.interop + ecosystem.expertise) / 50) * 100; // Final score is weighted combination const finalScore = normalizedReqScore * 0.7 + ecosystemScore * 0.3; // Generate rationale const rationale = generateRationale(language, requirements, capabilities, finalScore); scores.push({ language, score: Math.round(finalScore * 10) / 10, reasoning: ecosystem, rationale, strengths: characteristics.strengths, weaknesses: characteristics.weaknesses, }); } // Sort by score descending return scores.sort((a, b) => b.score - a.score); } /** * Generate human-readable rationale for score */ function generateRationale( language: ProgrammingLanguage, requirements: ComponentRequirements, capabilities: Record<keyof ComponentRequirements, number>, score: number ): string { const reasons: string[] = []; // Identify strong matches const strongMatches: string[] = []; const weakMatches: string[] = []; for (const [req, value] of Object.entries(requirements) as [keyof ComponentRequirements, boolean][]) { if (value) { const capability = capabilities[req]; const reqName = req.replace('needs', '').replace(/([A-Z])/g, ' $1').trim().toLowerCase(); if (capability >= 8) { strongMatches.push(reqName); } else if (capability <= 5) { weakMatches.push(reqName); } } } if (strongMatches.length > 0) { reasons.push(`Strong fit for: ${strongMatches.join(', ')}`); } if (weakMatches.length > 0) { reasons.push(`Limited support for: ${weakMatches.join(', ')}`); } if (score >= 80) { reasons.push('Excellent overall match'); } else if (score >= 60) { reasons.push('Good match with some trade-offs'); } else if (score >= 40) { reasons.push('Moderate fit, consider alternatives'); } else { reasons.push('Not recommended for these requirements'); } return reasons.join('. ') + '.'; } /** * Get recommended language (top scorer) */ export function recommendLanguage(requirements: ComponentRequirements): LanguageScore { const scores = scoreLanguages(requirements); return scores[0]; } /** * Format scoring results for display */ export function formatScores(scores: LanguageScore[]): string { let output = '# Language Selection Analysis\n\n'; for (let i = 0; i < scores.length; i++) { const score = scores[i]; const rank = i === 0 ? '🥇 RECOMMENDED' : i === 1 ? '🥈 Alternative' : `${i + 1}.`; output += `## ${rank} ${score.language} (Score: ${score.score}/100)\n\n`; output += `**Rationale:** ${score.rationale}\n\n`; output += `**Ecosystem Scores:**\n`; output += `- Library Ecosystem: ${score.reasoning.ecosystem}/10\n`; output += `- Performance: ${score.reasoning.performance}/10\n`; output += `- Type Safety: ${score.reasoning.typing}/10\n`; output += `- Integration: ${score.reasoning.interop}/10\n`; output += `- Developer Experience: ${score.reasoning.expertise}/10\n\n`; output += `**Strengths:**\n`; score.strengths.forEach((s) => (output += `- ${s}\n`)); output += `\n**Weaknesses:**\n`; score.weaknesses.forEach((w) => (output += `- ${w}\n`)); output += '\n---\n\n'; } return output; } /** * Preset requirement profiles for common Congo River tasks */ export const TASK_PROFILES: Record<string, ComponentRequirements> = { tripleDecomposition: { needsLogic: false, needsGraphOps: true, needsTypeSystem: false, needsPerformance: false, needsMLLibraries: true, needsSemanticWeb: true, needsConcurrency: false, needsWebIntegration: false, needsDataScience: false, }, proofSearch: { needsLogic: true, needsGraphOps: false, needsTypeSystem: true, needsPerformance: true, needsMLLibraries: false, needsSemanticWeb: false, needsConcurrency: false, needsWebIntegration: false, needsDataScience: false, }, graphQuery: { needsLogic: false, needsGraphOps: true, needsTypeSystem: false, needsPerformance: true, needsMLLibraries: false, needsSemanticWeb: true, needsConcurrency: false, needsWebIntegration: false, needsDataScience: false, }, lambdaAbstraction: { needsLogic: true, needsGraphOps: false, needsTypeSystem: true, needsPerformance: false, needsMLLibraries: false, needsSemanticWeb: false, needsConcurrency: false, needsWebIntegration: false, needsDataScience: false, }, neuroSymbolic: { needsLogic: true, needsGraphOps: true, needsTypeSystem: false, needsPerformance: false, needsMLLibraries: true, needsSemanticWeb: true, needsConcurrency: true, needsWebIntegration: true, needsDataScience: true, }, }; /** * Validate language selection recommendations */ export function validateRecommendation(taskName: string): { recommended: string; score: number; analysis: string; } { const profile = TASK_PROFILES[taskName]; if (!profile) { throw new Error(`Unknown task profile: ${taskName}`); } const recommendation = recommendLanguage(profile); return { recommended: recommendation.language, score: recommendation.score, analysis: formatScores([recommendation]), }; }