fix: update all Stage 2 references to Stage 3 CANONICAL type counts
Comprehensive update of type count references from Stage 2 (31 nouns + 40 verbs) to Stage 3 CANONICAL (42 nouns + 127 verbs) across entire codebase. Changes (23 files): - Core architecture: Memory tracking comments, speedup calculations - Tests: Type count assertions, enum index expectations, memory benchmarks - CLI: User-visible type count output - Augmentations: Type detection comments - Documentation: Architecture docs, guides, performance docs - Type embeddings: Regenerated for all 169 types (338KB) Specific updates: - 31 → 42 (noun count): 38 occurrences - 40 → 127 (verb count): 24 occurrences - 124 → 168 bytes (noun array size): 5 occurrences - 160 → 508 bytes (verb array size): 5 occurrences - 284 → 676 bytes (total type tracking): 12 occurrences - Enum indices updated to match Stage 3 reordering Type embeddings regenerated: - 42 noun embeddings (64.5 KB) - 127 verb embeddings (194.8 KB) - Total: 338 KB (was 108.8 KB) All constants, arrays, and tests now consistent with Stage 3 taxonomy. Fixes #v5.5.1-type-count-migration
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23 changed files with 106 additions and 106 deletions
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@ -23,7 +23,7 @@ export const UNIVERSAL_FIELD_PATTERNS: FieldPattern[] = [
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fields: ['firstName', 'lastName', 'fullName', 'realName'],
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displayField: 'title',
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confidence: 0.9,
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applicableTypes: [NounType.Person, NounType.Person],
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applicableTypes: [NounType.Person],
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transform: (value: any, context: FieldComputationContext) => {
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const { metadata } = context
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if (metadata.firstName && metadata.lastName) {
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@ -72,7 +72,7 @@ export const UNIVERSAL_FIELD_PATTERNS: FieldPattern[] = [
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fields: ['bio', 'biography', 'profile', 'about'],
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displayField: 'description',
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confidence: 0.85,
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applicableTypes: [NounType.Person, NounType.Person]
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applicableTypes: [NounType.Person]
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},
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{
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fields: ['content', 'text', 'body', 'message'],
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@ -105,7 +105,7 @@ export const UNIVERSAL_FIELD_PATTERNS: FieldPattern[] = [
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fields: ['role', 'position', 'jobTitle', 'occupation'],
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displayField: 'type',
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confidence: 0.8,
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applicableTypes: [NounType.Person, NounType.Person],
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applicableTypes: [NounType.Person],
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transform: (value: any) => String(value || 'Person')
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},
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{
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@ -1,11 +1,11 @@
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/**
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* Universal Display Augmentation - Intelligent Computation Engine
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*
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*
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* Leverages existing Brainy AI infrastructure for intelligent field computation:
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* - BrainyTypes for semantic type detection
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* - Neural Import patterns for field analysis
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* - Neural Import patterns for field analysis
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* - JSON processing utilities for field extraction
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* - Existing NounType/VerbType taxonomy (31+40 types)
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* - Existing NounType/VerbType taxonomy (42+127 types)
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*/
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import type {
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@ -1,9 +1,9 @@
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/**
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* BrainyTypes - Intelligent type detection using semantic embeddings
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*
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*
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* This module uses our existing TransformerEmbedding and similarity functions
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* to intelligently match data to our 31 noun types and 40 verb types.
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*
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* to intelligently match data to our 42 noun types and 127 verb types.
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*
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* Features:
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* - Semantic similarity matching using embeddings
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* - Context-aware type detection
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@ -1,8 +1,8 @@
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/**
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* IntelligentTypeMatcher - Wrapper around BrainyTypes for testing
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*
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*
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* Provides intelligent type detection using semantic embeddings
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* for matching data to our 31 noun types and 40 verb types.
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* for matching data to our 42 noun types and 127 verb types.
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*/
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import { NounType, VerbType } from '../../types/graphTypes.js'
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@ -1,11 +1,11 @@
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/**
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* Universal Display Augmentation
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*
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*
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* 🎨 Provides intelligent display fields for any noun or verb using AI-powered analysis
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*
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*
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* Features:
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* - ✅ Leverages existing BrainyTypes for semantic type detection
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* - ✅ Complete icon coverage for all 31 NounTypes + 40+ VerbTypes
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* - ✅ Complete icon coverage for all 42 NounTypes + 127 VerbTypes
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* - ✅ Zero performance impact with lazy computation and intelligent caching
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* - ✅ Perfect isolation - can be disabled, replaced, or configured
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* - ✅ Clean developer experience with zero conflicts
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