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import { unified } from 'unified';
import remarkParse from 'remark-parse';
import remarkGfm from 'remark-gfm';
import remarkMath from 'remark-math';
type ParseMetrics = {
totalTime: number;
parseTime: number;
convertTime: number;
tokenCount: number;
nodeCount: number;
contentStats: {
codeBlocks: number;
tables: number;
lists: number;
headings: number;
links: number;
images: number;
inlineMath: number;
mathBlocks: number;
};
};
type ParseResult =
| {
success: true;
tokens: any[];
metrics: ParseMetrics;
}
| {
success: false;
error: any;
metrics: ParseMetrics;
};
/**
* Unified-based parser (same parser family LibreChat uses via react-markdown)
* Parses markdown to MDAST (remark) and converts to the token shape expected by our Svelte renderers.
* Final version: no console logging. Includes math (inlineMath, math) mapping to inlineKatex/blockKatex.
*/
// Comprehensive heuristic to detect a wide range of markdown features.
const MARKDOWN_QUICK_SCAN_REGEX =
/^(?:#|>|\*|-|\d+\.|\s*\|)\s|```|---|\[.+\]\(.+\)|!\[.*\]\(.*\)|\[.+\]:.*|\$.+\$|<(?:div|table|details|pre|code)|(?:\*\*|__|_|~~|`|\[\^.*\])/m;
// Regex for hard-block segmentation
const FENCED_CODE_REGEX = /^(\s*)(`{3,}|~{3,})([^\n]*)\n([\s\S]+?)\n\s*\2\s*$/gm;
const BLOCK_MATH_REGEX = /^\$\$\n([\s\S]+?)\n\$\$\s*$/gm;
const BLOCK_HTML_REGEX = /^<(details|div|table|pre|code)[\s>][\s\S]*?<\/\1>\s*$/gm;
// Extract horizontal rules to prevent them from creating Setext headings
const HORIZONTAL_RULE_REGEX = /^(\s*)([-*_])\2{2,}\s*$/gm;
export function parseMarkdownToTokens(
content: string,
messageId: string,
useHybrid = false
): ParseResult {
const perfStart = performance.now();
const metrics: ParseMetrics = {
totalTime: 0,
parseTime: 0,
convertTime: 0,
tokenCount: 0,
nodeCount: 0,
contentStats: {
codeBlocks: 0,
tables: 0,
lists: 0,
headings: 0,
links: 0,
images: 0,
inlineMath: 0,
mathBlocks: 0
}
};
try {
const parseStart = performance.now();
const tree: any = unified().use(remarkParse).use(remarkGfm).use(remarkMath).parse(content);
const parseEnd = performance.now();
metrics.parseTime = parseEnd - parseStart;
metrics.nodeCount = countNodes(tree);
metrics.contentStats = analyzeContent(tree);
const convertStart = performance.now();
const tokens = convertMdastToMarkedTokens(tree);
const convertEnd = performance.now();
metrics.convertTime = convertEnd - convertStart;
metrics.tokenCount = tokens.length;
metrics.totalTime = performance.now() - perfStart;
return { success: true, tokens, metrics };
} catch (error: any) {
metrics.totalTime = performance.now() - perfStart;
return { success: false, error, metrics };
}
}
/**
* Convert remark MDAST tree into a minimal "marked-like" token array compatible with existing render pipeline.
* Includes mapping for math:
* - inlineMath -> { type: 'inlineKatex', text, displayMode: false }
* - math -> { type: 'blockKatex', text, displayMode: true }
*/
function convertMdastToMarkedTokens(tree: any): any[] {
const tokens: any[] = [];
const children: any[] = Array.isArray(tree?.children) ? tree.children : [];
for (const node of children) {
const token = convertNode(node);
if (token) tokens.push(token);
}
return tokens;
}
function convertNode(node: any): any {
switch (node?.type) {
case 'heading':
return {
type: 'heading',
depth: node.depth,
text: extractText(node),
tokens: convertChildren(node)
};
case 'paragraph':
return {
type: 'paragraph',
text: extractText(node),
tokens: convertChildren(node)
};
case 'code':
return {
type: 'code',
lang: node.lang || '',
text: node.value || '',
raw: `\`\`\`${node.lang || ''}\n${node.value || ''}\n\`\`\``
};
case 'inlineCode':
return {
type: 'codespan',
text: node.value || '',
raw: '`' + (node.value || '') + '`'
};
case 'list':
return {
type: 'list',
ordered: !!node.ordered,
start: node.start || 1,
loose: false,
items: (node.children || []).map((item: any) => ({
type: 'list_item',
task: item.checked != null,
checked: !!item.checked,
loose: false,
tokens: convertChildren(item)
}))
};
case 'blockquote':
return {
type: 'blockquote',
text: extractText(node),
tokens: convertChildren(node)
};
case 'table': {
const rows = node.children || [];
const headerRow = rows[0] || { children: [] };
const bodyRows = rows.slice(1);
return {
type: 'table',
header: (headerRow.children || []).map((cell: any) => ({
text: extractText(cell),
tokens: convertChildren(cell)
})),
rows: bodyRows.map((row: any) =>
(row.children || []).map((cell: any) => ({
text: extractText(cell),
tokens: convertChildren(cell)
}))
),
align: node.align || []
};
}
case 'thematicBreak':
return { type: 'hr' };
case 'html':
// Keep as raw HTML; renderer handles HtmlToken fallback
return {
type: 'html',
text: node.value || '',
raw: node.value || ''
};
case 'text':
return {
type: 'text',
text: node.value || '',
raw: node.value || ''
};
case 'emphasis':
return {
type: 'em',
text: extractText(node),
tokens: convertChildren(node)
};
case 'strong':
return {
type: 'strong',
text: extractText(node),
tokens: convertChildren(node)
};
case 'link':
return {
type: 'link',
href: node.url || '',
title: node.title || '',
text: extractText(node),
tokens: convertChildren(node)
};
case 'image':
return {
type: 'image',
href: node.url || '',
title: node.title || '',
text: node.alt || ''
};
case 'break':
return { type: 'br' };
case 'delete':
return {
type: 'del',
text: extractText(node),
tokens: convertChildren(node)
};
// MATH SUPPORT (remark-math)
case 'inlineMath':
return {
type: 'inlineKatex',
text: node.value || '',
displayMode: false
};
case 'math':
return {
type: 'blockKatex',
text: node.value || '',
displayMode: true
};
default:
// Unhandled nodes are ignored to avoid breaking renderers
return null;
}
}
function convertChildren(node: any): any[] {
const out: any[] = [];
const kids: any[] = Array.isArray(node?.children) ? node.children : [];
for (const child of kids) {
const t = convertNode(child);
if (t) out.push(t);
}
return out;
}
function extractText(node: any): string {
if (!node) return '';
if (typeof node === 'string') return node;
if (node.value) return String(node.value);
if (Array.isArray(node.children)) {
return node.children.map(extractText).join('');
}
return '';
}
function countNodes(tree: any): number {
let count = 0;
function walk(n: any) {
if (!n) return;
count += 1;
const kids: any[] = Array.isArray(n.children) ? n.children : [];
for (const c of kids) walk(c);
}
walk(tree);
return count;
}
function analyzeContent(tree: any) {
const stats = {
codeBlocks: 0,
tables: 0,
lists: 0,
headings: 0,
links: 0,
images: 0,
inlineMath: 0,
mathBlocks: 0
};
function walk(n: any) {
if (!n) return;
switch (n.type) {
case 'code': stats.codeBlocks++; break;
case 'table': stats.tables++; break;
case 'list': stats.lists++; break;
case 'heading': stats.headings++; break;
case 'link': stats.links++; break;
case 'image': stats.images++; break;
case 'inlineMath': stats.inlineMath++; break;
case 'math': stats.mathBlocks++; break;
}
const kids: any[] = Array.isArray(n.children) ? n.children : [];
for (const c of kids) walk(c);
}
walk(tree);
return stats;
} |