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142 lines
4.4 KiB
TypeScript
142 lines
4.4 KiB
TypeScript
import { createLogger } from '@sim/logger'
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import type { Chunk, SentenceChunkerOptions } from '@/lib/chunkers/types'
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import {
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buildChunks,
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cleanText,
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estimateTokens,
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resolveChunkerOptions,
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splitAtWordBoundaries,
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tokensToChars,
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} from '@/lib/chunkers/utils'
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const logger = createLogger('SentenceChunker')
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/** Never splits mid-sentence unless a single sentence exceeds the limit. */
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export class SentenceChunker {
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private readonly chunkSize: number
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private readonly chunkOverlap: number
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private readonly minSentencesPerChunk: number
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constructor(options: SentenceChunkerOptions = {}) {
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const resolved = resolveChunkerOptions(options)
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this.chunkSize = resolved.chunkSize
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this.chunkOverlap = resolved.chunkOverlap
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this.minSentencesPerChunk = options.minSentencesPerChunk ?? 1
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}
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/** Splits on sentence boundaries while avoiding abbreviations, decimals, and ellipses. */
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private splitSentences(text: string): string[] {
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return text
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.split(
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/(?<!\b(?:Mr|Mrs|Ms|Dr|Prof|Sr|Jr|St|Rev|Gen|Sgt|Capt|Lt|Col|Maj|No|Fig|Vol|Ch|vs|etc|Inc|Ltd|Corp|Co|approx|dept|est|govt|Ave|Blvd|Rd|Jan|Feb|Mar|Apr|Jun|Jul|Aug|Sep|Oct|Nov|Dec|i\.e|e\.g)\.)(?<![A-Z]\.)(?<!\.\.)(?<!\d\.)(?<=[.!?])\s+/
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)
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.filter((s) => s.trim().length > 0)
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}
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async chunk(content: string): Promise<Chunk[]> {
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if (!content?.trim()) {
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return []
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}
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const cleaned = cleanText(content)
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const sentences = this.splitSentences(cleaned)
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if (sentences.length === 0) {
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return []
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}
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if (estimateTokens(cleaned) <= this.chunkSize) {
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logger.info('Content fits in single chunk')
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return buildChunks([cleaned], 0)
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}
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const chunkSentenceGroups: string[][] = []
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let currentGroup: string[] = []
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let currentTokens = 0
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const chunkSizeChars = tokensToChars(this.chunkSize)
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for (const sentence of sentences) {
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const sentenceTokens = estimateTokens(sentence)
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if (sentenceTokens > this.chunkSize) {
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if (currentGroup.length > 0) {
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chunkSentenceGroups.push(currentGroup)
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currentGroup = []
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currentTokens = 0
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}
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const parts = splitAtWordBoundaries(sentence, chunkSizeChars)
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for (const part of parts) {
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chunkSentenceGroups.push([part])
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}
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continue
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}
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const wouldExceed = currentTokens + sentenceTokens > this.chunkSize
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const hasMinSentences = currentGroup.length >= this.minSentencesPerChunk
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if (wouldExceed && hasMinSentences) {
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chunkSentenceGroups.push(currentGroup)
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currentGroup = [sentence]
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currentTokens = sentenceTokens
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} else {
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currentGroup.push(sentence)
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currentTokens += sentenceTokens
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}
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}
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if (currentGroup.length > 0) {
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chunkSentenceGroups.push(currentGroup)
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}
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const rawChunks = this.applyOverlapFromGroups(chunkSentenceGroups)
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logger.info(`Chunked into ${rawChunks.length} sentence-based chunks`)
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return buildChunks(rawChunks, this.chunkOverlap)
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}
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/** Applies overlap at the sentence level using original groups to avoid re-splitting. */
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private applyOverlapFromGroups(groups: string[][]): string[] {
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if (this.chunkOverlap <= 0 || groups.length <= 1) {
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return groups.map((g) => g.join(' '))
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}
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const overlapChars = tokensToChars(this.chunkOverlap)
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const result: string[] = []
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for (let i = 0; i < groups.length; i++) {
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if (i === 0) {
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result.push(groups[i].join(' '))
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continue
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}
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const prevGroup = groups[i - 1]
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const overlapSentences: string[] = []
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let overlapLen = 0
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for (let j = prevGroup.length - 1; j >= 0; j--) {
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if (overlapLen + prevGroup[j].length > overlapChars) break
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overlapSentences.unshift(prevGroup[j])
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overlapLen += prevGroup[j].length
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}
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const currentText = groups[i].join(' ')
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if (overlapSentences.length > 0) {
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result.push(`${overlapSentences.join(' ')} ${currentText}`)
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} else {
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// No complete sentence fits — fall back to character-level overlap
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const prevText = prevGroup.join(' ')
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const tail = prevText.slice(-overlapChars)
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const wordMatch = tail.match(/^\s*\S/)
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const cleanTail = wordMatch ? tail.slice(tail.indexOf(wordMatch[0].trim())) : tail
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if (cleanTail.trim()) {
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result.push(`${cleanTail.trim()} ${currentText}`)
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} else {
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result.push(currentText)
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}
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}
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}
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return result
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}
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}
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