7.3 KiB
7.3 KiB
Robust CKG and TKG System Design
Overview
This document outlines the design for a robust Component Knowledge Graph (CKG) and Template Knowledge Graph (TKG) system that provides intelligent tech-stack recommendations based on template features, permutations, and combinations.
System Architecture
1. Component Knowledge Graph (CKG)
- Purpose: Manages feature permutations and combinations with tech-stack mappings
- Storage: Neo4j graph database
- Key Entities: Features, Permutations, Combinations, TechStacks, Technologies
2. Template Knowledge Graph (TKG)
- Purpose: Manages template-feature relationships and overall tech recommendations
- Storage: Neo4j graph database
- Key Entities: Templates, Features, Technologies, TechStacks
Enhanced Graph Schema
Node Types
CKG Nodes
Feature {
id: String
name: String
description: String
feature_type: String (essential|suggested|custom)
complexity: String (low|medium|high)
template_id: String
display_order: Number
usage_count: Number
user_rating: Number
is_default: Boolean
created_by_user: Boolean
}
Permutation {
id: String
template_id: String
feature_sequence: String (JSON array)
sequence_length: Number
complexity_score: Number
usage_frequency: Number
created_at: DateTime
performance_score: Number
compatibility_score: Number
}
Combination {
id: String
template_id: String
feature_set: String (JSON array)
set_size: Number
complexity_score: Number
usage_frequency: Number
created_at: DateTime
synergy_score: Number
compatibility_score: Number
}
TechStack {
id: String
combination_id: String (optional)
permutation_id: String (optional)
frontend_tech: String (JSON array)
backend_tech: String (JSON array)
database_tech: String (JSON array)
devops_tech: String (JSON array)
mobile_tech: String (JSON array)
cloud_tech: String (JSON array)
testing_tech: String (JSON array)
ai_ml_tech: String (JSON array)
tools_tech: String (JSON array)
confidence_score: Number
complexity_level: String
estimated_effort: String
created_at: DateTime
ai_model: String
analysis_version: String
}
Technology {
name: String
category: String (frontend|backend|database|devops|mobile|cloud|testing|ai_ml|tools)
type: String (framework|library|service|tool)
version: String
popularity: Number
description: String
website: String
documentation: String
compatibility: String (JSON array)
performance_score: Number
learning_curve: String (easy|medium|hard)
community_support: String (low|medium|high)
}
TKG Nodes
Template {
id: String
type: String
title: String
description: String
category: String
complexity: String
is_active: Boolean
created_at: DateTime
updated_at: DateTime
usage_count: Number
success_rate: Number
}
Feature {
id: String
name: String
description: String
feature_type: String
complexity: String
display_order: Number
usage_count: Number
user_rating: Number
is_default: Boolean
created_by_user: Boolean
dependencies: String (JSON array)
conflicts: String (JSON array)
}
Technology {
name: String
category: String
type: String
version: String
popularity: Number
description: String
website: String
documentation: String
compatibility: String (JSON array)
performance_score: Number
learning_curve: String
community_support: String
cost: String (free|freemium|paid)
scalability: String (low|medium|high)
security_score: Number
}
TechStack {
id: String
template_id: String
template_type: String
status: String (active|deprecated|experimental)
ai_model: String
analysis_version: String
processing_time_ms: Number
created_at: DateTime
last_analyzed_at: DateTime
confidence_scores: String (JSON object)
reasoning: String (JSON object)
}
Relationship Types
CKG Relationships
Template -[:HAS_FEATURE]-> Feature
Feature -[:REQUIRES_TECHNOLOGY]-> Technology
Permutation -[:HAS_ORDERED_FEATURE {sequence_order: Number}]-> Feature
Combination -[:CONTAINS_FEATURE]-> Feature
Permutation -[:RECOMMENDS_TECH_STACK]-> TechStack
Combination -[:RECOMMENDS_TECH_STACK]-> TechStack
TechStack -[:RECOMMENDS_TECHNOLOGY {category: String, confidence: Number}]-> Technology
Technology -[:SYNERGY {score: Number}]-> Technology
Technology -[:CONFLICTS {severity: String}]-> Technology
Feature -[:DEPENDS_ON {strength: Number}]-> Feature
Feature -[:CONFLICTS_WITH {severity: String}]-> Feature
TKG Relationships
Template -[:HAS_FEATURE]-> Feature
Template -[:HAS_TECH_STACK]-> TechStack
Feature -[:REQUIRES_TECHNOLOGY]-> Technology
TechStack -[:RECOMMENDS_TECHNOLOGY {category: String, confidence: Number}]-> Technology
Technology -[:SYNERGY {score: Number}]-> Technology
Technology -[:CONFLICTS {severity: String}]-> Technology
Feature -[:DEPENDS_ON {strength: Number}]-> Feature
Feature -[:CONFLICTS_WITH {severity: String}]-> Feature
Template -[:SIMILAR_TO {similarity: Number}]-> Template
Enhanced Services
1. Advanced Combinatorial Engine
- Smart permutation generation based on feature dependencies
- Compatibility-aware combination generation
- Performance optimization with caching
- Feature interaction scoring
2. Intelligent Tech Stack Analyzer
- AI-powered technology recommendations
- Context-aware tech stack generation
- Performance and scalability analysis
- Cost optimization suggestions
3. Relationship Manager
- Automatic dependency detection
- Conflict resolution
- Synergy identification
- Performance optimization
4. Recommendation Engine
- Multi-factor recommendation scoring
- User preference learning
- Success rate tracking
- Continuous improvement
API Enhancements
CKG APIs
GET /api/ckg-tech-stack/template/:templateId
GET /api/ckg-tech-stack/permutations/:templateId
GET /api/ckg-tech-stack/combinations/:templateId
GET /api/ckg-tech-stack/compare/:templateId
GET /api/ckg-tech-stack/recommendations/:templateId
POST /api/ckg-tech-stack/analyze-compatibility
GET /api/ckg-tech-stack/synergies
GET /api/ckg-tech-stack/conflicts
TKG APIs
GET /api/tkg/template/:templateId/tech-stack
GET /api/tkg/template/:templateId/features
GET /api/tkg/template/:templateId/recommendations
POST /api/tkg/template/:templateId/analyze
GET /api/tkg/technologies/synergies
GET /api/tkg/technologies/conflicts
GET /api/tkg/templates/similar/:templateId
Implementation Strategy
Phase 1: Enhanced CKG Service
- Improve permutation/combination generation
- Add intelligent tech stack analysis
- Implement relationship scoring
- Add performance optimization
Phase 2: Advanced TKG Service
- Enhance template-feature relationships
- Add technology synergy detection
- Implement conflict resolution
- Add recommendation scoring
Phase 3: Integration & Optimization
- Connect CKG and TKG systems
- Implement cross-graph queries
- Add performance monitoring
- Implement continuous learning
Benefits
- Intelligent Recommendations: AI-powered tech stack suggestions
- Relationship Awareness: Understanding of feature dependencies and conflicts
- Performance Optimization: Cached and optimized queries
- Scalability: Handles large numbers of templates and features
- Flexibility: Supports various recommendation strategies
- Learning: Continuous improvement based on usage patterns