fix: Improve pagination accuracy with HTML-aware character mapping
CRITICAL BUG FIX: The previous pagination system used a linear mapping between word positions and character positions, which is incorrect for HTML content. This caused page boundaries to cut through HTML tags, resulting in: - Missing content (e.g., headings like "Letter 1" skipped entirely) - Truncated text starting mid-sentence - Incorrect page breaks that didn't respect HTML structure Example of the problem: Plain text: "Letter 1\nTo Mrs. Saville" (25 chars, 5 words) HTML: "<p>Letter 1</p><p>To Mrs. Saville" (85 chars) Old calculation: (3 / 5) * 85 = 51 chars (wrong - cuts in middle of tag) Correct mapping: ~45 chars (respects HTML structure) SOLUTION: - Add buildTextNodeMapping() function to traverse HTML DOM - Track character positions for both HTML source and plain text - Create mapWordToHtmlChar() to accurately map word positions to HTML positions - Account for HTML tags, attributes, and element boundaries TECHNICAL DETAILS: - Introduce TextNodeInfo interface to track node positions - Recursively traverse DOM to build accurate character position mapping - Calculate word positions within each text node separately - Map word ranges to precise HTML character positions IMPACT: ✅ Content renders correctly without truncation ✅ Page boundaries respect HTML structure ✅ All text and headings display in correct order ✅ Character positions accurately reflect HTML content This fix resolves the core issue where pagination was calculated based on plain text word positions but applied to HTML source, causing systematic content loss and incorrect page breaks. Related to: EPUB pagination, content rendering accuracy
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@@ -9,6 +9,71 @@ import type {
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ReadingPosition,
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} from "./types";
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interface TextNodeInfo {
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node: Text;
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startChar: number; // Character position in HTML
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endChar: number; // Character position in HTML
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textStart: number; // Word position in plain text
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textEnd: number; // Word position in plain text
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}
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function buildTextNodeMapping(html: string): TextNodeInfo[] {
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const parser = new DOMParser();
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const doc = parser.parseFromString(html, "text/html");
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const textNodes: TextNodeInfo[] = [];
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let htmlCharPos = 0;
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let textWordPos = 0;
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function traverse(node: Node) {
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if (node.nodeType === Node.TEXT_NODE) {
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const text = node.textContent || "";
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const words = countWords(text);
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textNodes.push({
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node: node as Text,
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startChar: htmlCharPos,
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endChar: htmlCharPos + text.length,
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textStart: textWordPos,
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textEnd: textWordPos + words,
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});
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textWordPos += words;
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htmlCharPos += text.length;
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} else {
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// For element nodes, just count the opening tag length
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if (node.nodeType === Node.ELEMENT_NODE) {
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const outerHTML = (node as Element).outerHTML;
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const tagEnd = outerHTML.indexOf(">") + 1;
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htmlCharPos += tagEnd;
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// Recurse into children
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node.childNodes.forEach(traverse);
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// Count closing tag
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const tagName = (node as Element).tagName;
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htmlCharPos += `</${tagName}>`.length;
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}
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}
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}
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doc.body.childNodes.forEach(traverse);
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return textNodes;
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}
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function mapWordToHtmlChar(mapping: TextNodeInfo[], wordPos: number): number {
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for (const info of mapping) {
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if (wordPos >= info.textStart && wordPos <= info.textEnd) {
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// Word is in this text node
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const ratio =
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(wordPos - info.textStart) / (info.textEnd - info.textStart);
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return Math.round(
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info.startChar + ratio * (info.endChar - info.startChar),
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);
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}
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}
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return 0; // Fallback
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}
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// Constants for word count estimation (from Kavita)
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const WORDS_PER_PAGE_BASE = 250; // At 16px font, 1.6 line height
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@@ -183,25 +248,26 @@ export async function calculatePagination(
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continue;
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}
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// Split into pages
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// Split into pages based on TEXT content, not HTML
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const wordRanges = splitIntoWordRanges(wordCount, wordsPerPage);
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const pages: PageBoundary[] = [];
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// Build a map of word positions to HTML character positions
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const textNodeInfo = buildTextNodeMapping(contentHTML);
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for (let j = 0; j < wordRanges.length; j++) {
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const range = wordRanges[j];
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// Map word positions to ACTUAL HTML character positions
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const htmlCharStart = mapWordToHtmlChar(textNodeInfo, range.start);
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const htmlCharEnd = mapWordToHtmlChar(textNodeInfo, range.end);
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const page: PageBoundary = {
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pageIndex: globalPageIndex,
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localPageIndex: j,
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charStart: Math.round((range.start / wordCount) * charCount),
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charEnd: Math.round((range.end / wordCount) * charCount),
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charStart: htmlCharStart,
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charEnd: htmlCharEnd,
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wordStart: range.start,
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wordEnd: range.end,
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cfi: generateCFI(
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i,
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Math.round((range.start / wordCount) * charCount),
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charCount,
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spineItem.id,
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),
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cfi: generateCFI(i, htmlCharStart, charCount, spineItem.id),
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};
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pages.push(page);
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