141 lines
4.1 KiB
TypeScript
141 lines
4.1 KiB
TypeScript
import { c } from "https://esm.sh/@codemirror/legacy-modes@6.3.1/mode/clike?external=@codemirror/language";
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import { stemmer } from "https://esm.sh/porter-stemmer@0.9.1";
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export type Document = {
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id: string;
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text: string;
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};
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export interface BatchKVStore<K, V> {
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get(keys: K[]): Promise<(V | undefined)[]>;
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set(entries: Map<K, V>): Promise<void>;
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delete(keys: K[]): Promise<void>;
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}
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type ResultObject = {
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score: number;
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id: string;
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};
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export class SimpleSearchEngine {
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private stopWords = ["and", "or", "the", "a", "an"];
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constructor(
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public index: BatchKVStore<string, string[]>,
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public reverseIndex: BatchKVStore<string, string[]>,
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) {
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}
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// Tokenize text into words
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private tokenize(text: string): string[] {
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return text.toLowerCase().split(/[^\p{L}]+/u);
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}
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// Remove stop words from array of words
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private removeStopWords(words: string[]): string[] {
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return words.filter((word) =>
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word.length > 2 &&
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!this.stopWords.includes(word) && /^\p{L}+$/u.test(word)
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);
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}
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// Basic stemming function
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private stem(word: string): string {
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return stemmer(word);
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}
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// Index an array of documents
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public async indexDocument(document: Document): Promise<void> {
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const updateIndexMap = new Map<string, string[]>();
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const updateReverseIndexMap = new Map<string, string[]>();
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const words = this.tokenize(document.text);
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const filteredWords = this.removeStopWords(words);
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const stemmedWords = filteredWords.map((word) => this.stem(word));
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// Get the current IDs for these stemmed words
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const uniqueStemmedWords = [...new Set(stemmedWords)];
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const currentIdsArray = await this.index.get(uniqueStemmedWords);
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stemmedWords.forEach((stemmedWord, i) => {
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const currentIds =
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currentIdsArray[uniqueStemmedWords.indexOf(stemmedWord)] || [];
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currentIds.push(document.id);
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updateIndexMap.set(stemmedWord, currentIds);
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if (!updateReverseIndexMap.has(document.id)) {
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updateReverseIndexMap.set(document.id, []);
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}
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if (!updateReverseIndexMap.get(document.id)!.includes(stemmedWord)) {
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updateReverseIndexMap.get(document.id)!.push(stemmedWord);
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}
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});
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// console.log("updateIndexMap", updateIndexMap);
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await this.index.set(updateIndexMap);
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await this.reverseIndex.set(updateReverseIndexMap);
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}
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// Search for a phrase and return document ids sorted by match count
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public async search(phrase: string): Promise<ResultObject[]> {
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const words = this.tokenize(phrase);
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const filteredWords = this.removeStopWords(words);
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const stemmedWords = filteredWords.map((word) => this.stem(word));
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const wordIdsArray = await this.index.get(stemmedWords);
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const matchCounts: Map<string, number> = new Map();
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wordIdsArray.forEach((wordIds) => {
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if (wordIds) {
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wordIds.forEach((id) => {
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if (matchCounts.has(id)) {
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matchCounts.set(id, matchCounts.get(id)! + 1);
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} else {
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matchCounts.set(id, 1);
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}
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});
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}
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});
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const results = Array.from(matchCounts.entries()).map(
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([id, score]) => ({ id, score }),
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);
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return results.sort((a, b) => b.score - a.score);
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}
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// Delete a document from the index
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public async deleteDocument(documentId: string): Promise<void> {
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const words = await this.reverseIndex.get([documentId]);
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if (words && words[0]) {
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const currentIdsArray = await this.index.get(words[0]);
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const deleteKeys: string[] = [];
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const updateMap = new Map<string, string[]>();
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words[0].forEach((word, i) => {
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const currentIds = currentIdsArray[i];
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if (currentIds) {
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const updatedIds = currentIds.filter((id) => id !== documentId);
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if (updatedIds.length > 0) {
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updateMap.set(word, updatedIds);
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} else {
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deleteKeys.push(word);
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}
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}
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});
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if (deleteKeys.length > 0) {
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await this.index.delete(deleteKeys);
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}
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if (updateMap.size > 0) {
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await this.index.set(updateMap);
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}
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await this.reverseIndex.delete([documentId]);
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}
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}
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}
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