/**
 * Pre-computed Keyword Embeddings for Unified Semantic Type Inference
 *
 * Generated by: scripts/buildKeywordEmbeddings.ts
 * Generated on: 2025-11-06T15:31:57.920Z
 * Total keywords: 1050 (716 nouns + 334 verbs)
 * Canonical: 919, Synonyms: 131
 * Embedding dimension: 384
 * Total size: 1.54MB
 *
 * This file contains pre-computed semantic embeddings for ALL type inference keywords.
 * Supports unified noun + verb semantic inference via SemanticTypeInference.
 * Used for O(log n) semantic matching via HNSW index.
 */

import { NounType, VerbType } from '../types/graphTypes.js'
import { Vector } from '../coreTypes.js'

export interface KeywordEmbedding {
  keyword: string
  type: NounType | VerbType
  typeCategory: 'noun' | 'verb'
  confidence: number
  isCanonical: boolean
  embedding: Vector
}

// Use 'any' type to avoid TypeScript union complexity issues with 1050+ literal types
const KEYWORD_EMBEDDINGS: any = [
  {
    "keyword": "person",
    "type": "person",
    "typeCategory": "noun",
    "confidence": 0.95,
    "isCanonical": true,
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  {
    "keyword": "people",
    "type": "person",
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    "keyword": "contest",
    "type": "competes",
    "typeCategory": "verb",
    "confidence": 0.85,
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  }
]

export function getKeywordEmbeddings(): KeywordEmbedding[] {
  return KEYWORD_EMBEDDINGS
}

export function getKeywordCount(): number {
  return KEYWORD_EMBEDDINGS.length
}

export function getNounKeywordCount(): number {
  return 716
}

export function getVerbKeywordCount(): number {
  return 334
}

export function getEmbeddingDimension(): number {
  return 384
}