91 lines
3.0 KiB
JavaScript
91 lines
3.0 KiB
JavaScript
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"use strict";
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const SKILL_LINK_RE = /\[\$([^\]\n]+)\]\(([^)\n]*)\)/g;
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const LEADING_SKILL_LINK_RE = /^\s*\[\$([^\]\n]+)\]\(([^)\n]*)\)\s*/;
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const TRUNCATED_LEADING_SKILL_LINK_RE = /^\s*\[\$([^\]\n]+)\]\([^)\n]*$/;
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const LEADING_SKILL_TOKEN_RE = /^\s*\$[A-Za-z][\w:.-]*(?:\s+|$)/;
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function normalizeInlineText(text) {
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return String(text || "")
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.replace(/\s+/g, " ")
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.trim();
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}
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function cleanSkillLinks(text) {
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return String(text || "").replace(SKILL_LINK_RE, (_m, name) => `$${String(name || "").trim()}`);
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}
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function stripLeadingSkillMentions(text) {
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let out = cleanSkillLinks(text);
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let changed = true;
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while (changed) {
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changed = false;
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const before = out;
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out = out.replace(LEADING_SKILL_LINK_RE, "");
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out = out.replace(TRUNCATED_LEADING_SKILL_LINK_RE, "");
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out = out.replace(LEADING_SKILL_TOKEN_RE, "");
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out = out.replace(/^\s*[:：,，;；|｜\-–—]+\s*/, "");
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changed = out !== before;
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}
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return out;
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}
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function cleanUserVisibleText(text) {
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return cleanSkillLinks(text);
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}
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// 某些中转模型会把内部思考误当成普通正文，用 XML 风格标签直接输出。
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// 只清理明确的内部块，不改动普通文本中的尖括号内容。
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function stripInternalThoughtBlocks(text) {
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let out = String(text || "");
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for (const name of ["thinking", "analysis", "reasoning"]) {
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const re = new RegExp("<" + name + "\\b[^>]*>[\\s\\S]*?</" + name + "\\s*>", "gi");
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out = out.replace(re, "");
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}
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return out.replace(/<\/?(?:thinking|analysis|reasoning)\b[^>]*>/gi, "");
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}
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// 流式内容可能把标签拆在多个 chunk 中：未闭合的内部块整体暂不输出。
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function stripInternalThoughtStreaming(text) {
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const source = String(text || "");
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let out = "";
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let cursor = 0;
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const openRe = /<(thinking|analysis|reasoning)\b[^>]*>/gi;
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while (true) {
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openRe.lastIndex = cursor;
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const open = openRe.exec(source);
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if (!open) {
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out += source.slice(cursor);
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break;
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}
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out += source.slice(cursor, open.index);
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const closeRe = new RegExp("</" + open[1] + "\\s*>", "i");
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const tail = source.slice(openRe.lastIndex);
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const close = closeRe.exec(tail);
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if (!close) break;
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cursor = openRe.lastIndex + close.index + close[0].length;
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}
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return stripInternalThoughtBlocks(out);
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}
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function cleanThreadTitle(title, fallback = "", maxLen = 80) {
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const primary = normalizeInlineText(stripLeadingSkillMentions(title));
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const secondary = normalizeInlineText(stripLeadingSkillMentions(fallback));
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const cleaned = primary || secondary || normalizeInlineText(cleanSkillLinks(title)) || normalizeInlineText(cleanSkillLinks(fallback));
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return cleaned ? cleaned.slice(0, maxLen) : "";
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}
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function looksLikeSkillMentionTitle(title) {
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const text = normalizeInlineText(title);
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return /^\[\$[^\]]+\]\(/.test(text) || /^\$[A-Za-z][\w:.-]*(?:\s|$)/.test(text);
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}
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module.exports = {
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cleanSkillLinks,
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cleanThreadTitle,
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cleanUserVisibleText,
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stripInternalThoughtBlocks,
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stripInternalThoughtStreaming,
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looksLikeSkillMentionTitle,
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};
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