openreader/src/utils/pdf.ts
2025-02-17 11:14:00 -07:00

273 lines
8.5 KiB
TypeScript

import { pdfjs } from 'react-pdf';
import nlp from 'compromise';
import stringSimilarity from 'string-similarity';
import type { TextItem } from 'pdfjs-dist/types/src/display/api';
import type { PDFDocumentProxy } from 'pdfjs-dist';
// Set worker from public directory and compatibility mode
pdfjs.GlobalWorkerOptions.workerSrc = '/pdf.worker.mjs';
pdfjs.GlobalWorkerOptions.workerPort = null;
interface TextMatch {
elements: HTMLElement[];
rating: number;
text: string;
lengthDiff: number;
}
// URL Conversion functions
export function convertPDFDataToURL(pdfData: Blob): Promise<string> {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = () => resolve(reader.result as string);
reader.onerror = () => reject(reader.error);
reader.readAsDataURL(pdfData);
});
}
// Text Processing functions
export async function extractTextFromPDF(pdf: PDFDocumentProxy, pageNumber: number): Promise<string> {
try {
const page = await pdf.getPage(pageNumber);
const textContent = await page.getTextContent();
const textItems = textContent.items.filter((item): item is TextItem =>
'str' in item && 'transform' in item
);
const tolerance = 2;
const lines: TextItem[][] = [];
let currentLine: TextItem[] = [];
let currentY: number | null = null;
textItems.forEach((item) => {
const y = item.transform[5];
if (currentY === null) {
currentY = y;
currentLine.push(item);
} else if (Math.abs(y - currentY) < tolerance) {
currentLine.push(item);
} else {
lines.push(currentLine);
currentLine = [item];
currentY = y;
}
});
lines.push(currentLine);
let pageText = '';
for (const line of lines) {
line.sort((a, b) => a.transform[4] - b.transform[4]);
let lineText = '';
let prevItem: TextItem | null = null;
for (const item of line) {
if (!prevItem) {
lineText = item.str;
} else {
const prevEndX = prevItem.transform[4] + (prevItem.width ?? 0);
const currentStartX = item.transform[4];
const space = currentStartX - prevEndX;
if (space > ((item.width ?? 0) * 0.3)) {
lineText += ' ' + item.str;
} else {
lineText += item.str;
}
}
prevItem = item;
}
pageText += lineText + ' ';
}
return pageText.replace(/\s+/g, ' ').trim();
} catch (error) {
console.error('Error extracting text from PDF:', error);
throw new Error('Failed to extract text from PDF');
}
}
// Highlighting functions
export function clearHighlights() {
const textNodes = document.querySelectorAll('.react-pdf__Page__textContent span');
textNodes.forEach((node) => {
const element = node as HTMLElement;
element.style.backgroundColor = '';
element.style.opacity = '1';
});
}
export function findBestTextMatch(
elements: Array<{ element: HTMLElement; text: string }>,
targetText: string,
maxCombinedLength: number
): TextMatch {
let bestMatch = {
elements: [] as HTMLElement[],
rating: 0,
text: '',
lengthDiff: Infinity,
};
const SPAN_SEARCH_LIMIT = 10;
for (let i = 0; i < elements.length; i++) {
let combinedText = '';
const currentElements = [];
for (let j = i; j < Math.min(i + SPAN_SEARCH_LIMIT, elements.length); j++) {
const node = elements[j];
const newText = combinedText ? `${combinedText} ${node.text}` : node.text;
if (newText.length > maxCombinedLength) break;
combinedText = newText;
currentElements.push(node.element);
const similarity = stringSimilarity.compareTwoStrings(targetText, combinedText);
const lengthDiff = Math.abs(combinedText.length - targetText.length);
const lengthPenalty = lengthDiff / targetText.length;
const adjustedRating = similarity * (1 - lengthPenalty * 0.5);
if (adjustedRating > bestMatch.rating) {
bestMatch = {
elements: [...currentElements],
rating: adjustedRating,
text: combinedText,
lengthDiff,
};
}
}
}
return bestMatch;
}
export function highlightPattern(
text: string,
pattern: string,
containerRef: React.RefObject<HTMLDivElement>
) {
clearHighlights();
if (!pattern?.trim()) return;
const cleanPattern = pattern.trim().replace(/\s+/g, ' ');
const container = containerRef.current;
if (!container) return;
const textNodes = container.querySelectorAll('.react-pdf__Page__textContent span');
const allText = Array.from(textNodes).map((node) => ({
element: node as HTMLElement,
text: (node.textContent || '').trim(),
})).filter((node) => node.text.length > 0);
const containerRect = container.getBoundingClientRect();
const visibleTop = container.scrollTop;
const visibleBottom = visibleTop + containerRect.height;
const bufferSize = containerRect.height;
const visibleNodes = allText.filter(({ element }) => {
const rect = element.getBoundingClientRect();
const elementTop = rect.top - containerRect.top + container.scrollTop;
return elementTop >= (visibleTop - bufferSize) && elementTop <= (visibleBottom + bufferSize);
});
let bestMatch = findBestTextMatch(visibleNodes, cleanPattern, cleanPattern.length * 2);
if (bestMatch.rating < 0.3) {
bestMatch = findBestTextMatch(allText, cleanPattern, cleanPattern.length * 2);
}
const similarityThreshold = bestMatch.lengthDiff < cleanPattern.length * 0.3 ? 0.3 : 0.5;
if (bestMatch.rating >= similarityThreshold) {
bestMatch.elements.forEach((element) => {
element.style.backgroundColor = 'grey';
element.style.opacity = '0.4';
});
if (bestMatch.elements.length > 0) {
const element = bestMatch.elements[0];
const elementRect = element.getBoundingClientRect();
const elementTop = elementRect.top - containerRect.top + container.scrollTop;
if (elementTop < visibleTop || elementTop > visibleBottom) {
container.scrollTo({
top: elementTop - containerRect.height / 3,
behavior: 'smooth',
});
}
}
}
}
// Text Click Handler
export function handleTextClick(
event: MouseEvent,
pdfText: string,
containerRef: React.RefObject<HTMLDivElement>,
stopAndPlayFromIndex: (index: number) => void,
isProcessing: boolean
) {
if (isProcessing) return;
const target = event.target as HTMLElement;
if (!target.matches('.react-pdf__Page__textContent span')) return;
const parentElement = target.closest('.react-pdf__Page__textContent');
if (!parentElement) return;
const spans = Array.from(parentElement.querySelectorAll('span'));
const clickedIndex = spans.indexOf(target);
const contextWindow = 3;
const startIndex = Math.max(0, clickedIndex - contextWindow);
const endIndex = Math.min(spans.length - 1, clickedIndex + contextWindow);
const contextText = spans
.slice(startIndex, endIndex + 1)
.map((span) => span.textContent)
.join(' ')
.trim();
if (!contextText?.trim()) return;
const cleanContext = contextText.trim().replace(/\s+/g, ' ');
const allText = Array.from(parentElement.querySelectorAll('span')).map((node) => ({
element: node as HTMLElement,
text: (node.textContent || '').trim(),
})).filter((node) => node.text.length > 0);
const bestMatch = findBestTextMatch(allText, cleanContext, cleanContext.length * 2);
const similarityThreshold = bestMatch.lengthDiff < cleanContext.length * 0.3 ? 0.3 : 0.5;
if (bestMatch.rating >= similarityThreshold) {
const matchText = bestMatch.text;
const sentences = nlp(pdfText).sentences().out('array') as string[];
let bestSentenceMatch = { sentence: '', rating: 0 };
for (const sentence of sentences) {
const rating = stringSimilarity.compareTwoStrings(matchText, sentence);
if (rating > bestSentenceMatch.rating) {
bestSentenceMatch = { sentence, rating };
}
}
if (bestSentenceMatch.rating >= 0.5) {
const sentenceIndex = sentences.findIndex((sentence) => sentence === bestSentenceMatch.sentence);
if (sentenceIndex !== -1) {
stopAndPlayFromIndex(sentenceIndex);
highlightPattern(pdfText, bestSentenceMatch.sentence, containerRef);
}
}
}
}
// Debounce for PDF viewer
export function debounce<T extends (...args: unknown[]) => unknown>(
func: T,
wait: number
): (...args: Parameters<T>) => void {
let timeout: NodeJS.Timeout;
return (...args: Parameters<T>) => {
clearTimeout(timeout);
timeout = setTimeout(() => func(...args), wait);
};
}