Matthew Jackson
615899e9a9
Legend text was saved to answers.json with duplicated text and "Required" suffix, causing pattern mismatches on future runs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
548 lines
23 KiB
JavaScript
548 lines
23 KiB
JavaScript
/**
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* form_filler.mjs — Generic form filling
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* Config-driven: answers loaded from answers.json
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* Returns list of unknown required fields
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*/
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import { writeFileSync, renameSync } from 'fs';
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import {
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DEFAULT_YEARS_EXPERIENCE, DEFAULT_DESIRED_SALARY,
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MINIMUM_SALARY_FACTOR, DEFAULT_SKILL_RATING,
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LINKEDIN_EASY_APPLY_MODAL_SELECTOR, FORM_PATTERN_MAX_LENGTH,
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AUTOCOMPLETE_WAIT, AUTOCOMPLETE_TIMEOUT, ANTHROPIC_API_URL
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} from './constants.mjs';
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/**
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* Normalize answers from either format:
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* Object: { "question": "answer" } → [{ pattern: "question", answer: "answer" }]
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* Array: [{ pattern, answer }] → as-is
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*/
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function normalizeAnswers(answers) {
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if (!answers) return [];
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if (Array.isArray(answers)) return answers;
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if (typeof answers === 'object') {
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return Object.entries(answers).map(([pattern, answer]) => ({ pattern, answer: String(answer) }));
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}
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return [];
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}
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export class FormFiller {
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constructor(profile, answers, opts = {}) {
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this.profile = profile;
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this.answers = normalizeAnswers(answers); // [{ pattern, answer }]
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this.apiKey = opts.apiKey || null;
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this.answersPath = opts.answersPath || null; // path to answers.json for saving
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this.jobContext = opts.jobContext || {}; // { title, company }
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}
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/**
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* Save a new answer to answers.json and in-memory cache.
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* Skips if pattern already exists.
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*/
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saveAnswer(pattern, answer) {
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if (!pattern || !answer) return;
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const existing = this.answers.findIndex(a => a.pattern === pattern);
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if (existing >= 0) return; // already saved
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this.answers.push({ pattern, answer });
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if (this.answersPath) {
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try {
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const tmp = this.answersPath + '.tmp';
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writeFileSync(tmp, JSON.stringify(this.answers, null, 2));
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renameSync(tmp, this.answersPath);
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} catch { /* best effort */ }
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}
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}
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// Find answer for a label — checks custom answers first, then built-ins
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answerFor(label) {
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if (!label) return null;
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const l = label.toLowerCase();
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// Check custom answers first (user-defined, pattern is substring or regex)
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for (const entry of this.answers) {
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try {
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if (entry.pattern.length > FORM_PATTERN_MAX_LENGTH) throw new Error('pattern too long');
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const re = new RegExp(entry.pattern, 'i');
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if (re.test(l)) return String(entry.answer);
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} catch {
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if (l.includes(entry.pattern.toLowerCase())) return String(entry.answer);
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}
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}
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// Built-in answers
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const p = this.profile;
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// Contact
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if (l.includes('first name') && !l.includes('last')) return p.name?.first || null;
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if (l.includes('last name')) return p.name?.last || null;
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if (l.includes('full name') || l === 'name') {
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const first = p.name?.first;
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const last = p.name?.last;
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return (first && last) ? `${first} ${last}` : null;
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}
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if (l.includes('email')) return p.email || null;
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if (l.includes('phone') || l.includes('mobile')) return p.phone || null;
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if (l.includes('city') && !l.includes('remote')) return p.location?.city || null;
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if (l.includes('zip') || l.includes('postal')) return p.location?.zip || null;
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if (l.includes('country code') || l.includes('phone country')) return 'United States (+1)';
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if (l.includes('country')) return p.location?.country || null;
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if (l.includes('state') && !l.includes('statement')) return p.location?.state || null;
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if (l.includes('linkedin')) return p.linkedin_url || null;
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if (l.includes('website') || l.includes('portfolio')) return p.linkedin_url || null;
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if (l.includes('currently located') || l.includes('current location') || l.includes('where are you')) {
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return `${p.location?.city || ''}, ${p.location?.state || ''}`.trim().replace(/^,\s*|,\s*$/, '');
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}
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if (l.includes('hear about') || l.includes('how did you find') || l.includes('how did you hear')) return 'LinkedIn';
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// Work auth
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if (l.includes('sponsor') || l.includes('visa')) return p.work_authorization?.requires_sponsorship ? 'Yes' : 'No';
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if (l.includes('relocat')) return p.willing_to_relocate ? 'Yes' : 'No';
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if (l.includes('authorized') || l.includes('eligible') || l.includes('legally') || l.includes('work in the u')) {
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return p.work_authorization?.authorized ? 'Yes' : 'No';
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}
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if (l.includes('remote') && (l.includes('willing') || l.includes('comfortable') || l.includes('able to'))) return 'Yes';
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// Experience
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if (l.includes('year') && (l.includes('experienc') || l.includes('exp') || l.includes('work'))) {
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if (l.includes('enterprise') || l.includes('b2b')) return '5';
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if (l.includes('crm') || l.includes('salesforce') || l.includes('hubspot') || l.includes('database')) return '7';
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if (l.includes('cold') || l.includes('outbound') || l.includes('prospecting')) return '5';
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if (l.includes('sales') || l.includes('revenue') || l.includes('quota') || l.includes('account')) return '7';
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if (l.includes('saas') || l.includes('software') || l.includes('tech')) return '7';
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if (l.includes('manag') || l.includes('leadership')) return '3';
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return String(p.years_experience || DEFAULT_YEARS_EXPERIENCE);
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}
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// 1-10 scale
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if (l.includes('1 - 10') || l.includes('1-10') || l.includes('scale of 1') || l.includes('rate your')) {
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if (l.includes('cold') || l.includes('outbound') || l.includes('prospecting')) return '9';
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if (l.includes('sales') || l.includes('selling') || l.includes('revenue') || l.includes('gtm')) return '9';
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if (l.includes('enterprise') || l.includes('b2b')) return '9';
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if (l.includes('technical') || l.includes('engineering')) return '7';
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if (l.includes('crm') || l.includes('salesforce')) return '8';
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return DEFAULT_SKILL_RATING;
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}
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// Compensation
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if (l.includes('salary') || l.includes('compensation') || l.includes('expected pay')) return String(p.desired_salary || '');
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if (l.includes('minimum') && l.includes('salary')) return String(Math.round((p.desired_salary || DEFAULT_DESIRED_SALARY) * MINIMUM_SALARY_FACTOR));
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// Dates
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if (l.includes('start date') || l.includes('when can you start') || l.includes('available to start')) return 'Immediately';
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if (l.includes('notice period')) return '2 weeks';
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// Education
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if (l.includes('degree') || l.includes('bachelor')) return 'No';
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// Cover letter
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if (l.includes('cover letter') || l.includes('additional info') || l.includes('tell us') ||
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l.includes('why do you') || l.includes('about yourself') || l.includes('message to')) {
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return p.cover_letter || '';
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}
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return null;
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}
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isHoneypot(label) {
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const l = (label || '').toLowerCase();
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return l.includes('digit code') || l.includes('secret word') || l.includes('not apply on linkedin') ||
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l.includes('best way to apply') || l.includes('hidden code') || l.includes('passcode');
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}
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async getLabel(el) {
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return await el.evaluate(node => {
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const id = node.id;
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const forLabel = id ? document.querySelector(`label[for="${id}"]`)?.textContent?.trim() : '';
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const ariaLabel = node.getAttribute('aria-label') || '';
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const ariaLabelledBy = node.getAttribute('aria-labelledby');
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const linked = ariaLabelledBy ? document.getElementById(ariaLabelledBy)?.textContent?.trim() : '';
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// LinkedIn doesn't use label[for] — labels are ancestor elements.
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// Walk up the DOM to find the nearest label in a parent container.
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let ancestorLabel = '';
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if (!forLabel && !ariaLabel && !linked) {
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let parent = node.parentElement;
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for (let i = 0; i < 5 && parent; i++) {
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const lbl = parent.querySelector('label');
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if (lbl) {
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ancestorLabel = lbl.textContent?.trim() || '';
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break;
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}
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parent = parent.parentElement;
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}
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}
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// Clean up label text
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let raw = forLabel || ariaLabel || linked || ancestorLabel || node.placeholder || node.name || '';
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// Normalize whitespace, strip trailing *, strip "Required" suffix
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raw = raw.replace(/\s+/g, ' ').replace(/\s*\*\s*$/, '').replace(/\s*Required\s*$/i, '').trim();
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// Deduplicate repeated label text (LinkedIn renders label text twice)
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// e.g. "First sales hire?First sales hire?" → "First sales hire?"
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if (raw.length > 8) {
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for (let len = Math.ceil(raw.length / 2); len >= 4; len--) {
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const candidate = raw.slice(0, len);
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if (raw.startsWith(candidate + candidate)) {
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raw = candidate.trim();
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break;
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}
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}
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}
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return raw;
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}).catch(() => '');
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}
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/**
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* Check if a form element is required.
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* LinkedIn uses multiple patterns: required attribute, aria-required, or * in label.
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*/
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async isRequired(el) {
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return await el.evaluate(node => {
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if (node.required || node.getAttribute('required') !== null) return true;
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if (node.getAttribute('aria-required') === 'true') return true;
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// Check if any associated label contains * — try label[for], then ancestor labels
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const id = node.id;
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if (id) {
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const label = document.querySelector(`label[for="${id}"]`);
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if (label && label.textContent.includes('*')) return true;
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}
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// Walk up ancestors to find a label with *
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let parent = node.parentElement;
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for (let i = 0; i < 5 && parent; i++) {
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const lbl = parent.querySelector('label');
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if (lbl && lbl.textContent.includes('*')) return true;
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// Also check for "Required" text in parent
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const reqSpan = parent.querySelector('[class*="required"], .artdeco-text-input--required');
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if (reqSpan) return true;
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parent = parent.parentElement;
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}
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return false;
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}).catch(() => false);
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}
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/**
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* Ask AI to answer an unknown question. Passes all saved answers so AI can
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* recognize variations of previously answered questions.
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* Returns the answer string, or null if AI can't help.
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*/
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async aiAnswerFor(label, opts = {}) {
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if (!this.apiKey) return null;
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const savedAnswers = this.answers.map(a => `Q: "${a.pattern}" → A: "${a.answer}"`).join('\n');
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const optionsHint = opts.options?.length ? `\nAvailable options: ${opts.options.join(', ')}` : '';
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const systemPrompt = `You are helping a job candidate fill out application forms. You have access to their profile and previously answered questions.
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Rules:
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- If this question is a variation of a previously answered question, return the SAME answer
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- For yes/no or multiple choice, return ONLY the exact option text
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- For short-answer fields, be brief and direct (1 line)
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- Use first person
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- Never make up facts
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- Just the answer text — no preamble, no explanation, no quotes`;
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const userPrompt = `Candidate: ${this.profile.name?.first} ${this.profile.name?.last}
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Location: ${this.profile.location?.city}, ${this.profile.location?.state}
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Years experience: ${this.profile.years_experience || 7}
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Applying for: ${this.jobContext.title || 'a role'} at ${this.jobContext.company || 'a company'}
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Previously answered questions:
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${savedAnswers || '(none yet)'}
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New question: "${label}"${optionsHint}
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Answer:`;
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try {
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const res = await fetch(ANTHROPIC_API_URL, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'x-api-key': this.apiKey,
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'anthropic-version': '2023-06-01',
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},
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body: JSON.stringify({
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model: 'claude-sonnet-4-6',
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max_tokens: 256,
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system: systemPrompt,
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messages: [{ role: 'user', content: userPrompt }],
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}),
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});
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if (!res.ok) return null;
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const data = await res.json();
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const answer = data.content?.[0]?.text?.trim() || null;
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if (answer) console.log(` [AI] "${label}" → "${answer}"`);
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return answer;
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} catch {
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return null;
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}
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}
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/**
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* Select an option from a <select> with case-insensitive, trimmed matching.
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* Tries: exact label → case-insensitive label → substring match → value match.
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*/
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async selectOptionFuzzy(sel, answer) {
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// Try exact match first (fastest path)
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const exactWorked = await sel.selectOption({ label: answer }).then(() => true).catch(() => false);
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if (exactWorked) return;
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// Scan options for case-insensitive / trimmed match
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const opts = await sel.$$('option');
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const target = answer.trim().toLowerCase();
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let substringMatch = null;
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for (const opt of opts) {
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const text = (await opt.textContent().catch(() => '') || '').trim();
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if (text.toLowerCase() === target) {
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await sel.selectOption({ label: text }).catch(() => {});
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return;
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}
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// Track first substring match as fallback (e.g. answer "Yes" matches "Yes, I am authorized")
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if (!substringMatch && text.toLowerCase().includes(target)) {
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substringMatch = text;
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}
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}
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if (substringMatch) {
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await sel.selectOption({ label: substringMatch }).catch(() => {});
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return;
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}
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// Last resort: try by value
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await sel.selectOption({ value: answer }).catch(() => {});
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}
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/**
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* Select the first option from an autocomplete dropdown.
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* Waits for the dropdown to appear, then clicks the first option.
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* Scoped to the input's nearest container to avoid clicking wrong dropdowns.
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*/
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async selectAutocomplete(page, container) {
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// Wait for dropdown to appear — scope to container (modal) to avoid clicking wrong dropdowns
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const selectors = '[role="option"], [role="listbox"] li, ul[class*="autocomplete"] li';
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const option = await container.waitForSelector(selectors, {
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timeout: AUTOCOMPLETE_TIMEOUT, state: 'visible',
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}).catch(() => {
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// Fallback to page-level if container doesn't support waitForSelector (e.g. ElementHandle)
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return page.waitForSelector(selectors, {
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timeout: AUTOCOMPLETE_TIMEOUT, state: 'visible',
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}).catch(() => null);
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});
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if (option) {
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await option.click().catch(() => {});
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await page.waitForTimeout(AUTOCOMPLETE_WAIT);
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}
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}
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// Fill all fields in a container (page or modal element)
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// Returns array of unknown required field labels
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async fill(page, resumePath) {
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const unknown = [];
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// Scope to modal if present, otherwise use page
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const container = await page.$(LINKEDIN_EASY_APPLY_MODAL_SELECTOR) || page;
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// Resume selection — LinkedIn shows radio buttons for previously uploaded resumes
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// Select the first resume radio if none is already checked
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const resumeRadios = await container.$$('input[type="radio"][aria-label*="resume"], input[type="radio"][aria-label*="Resume"]');
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if (resumeRadios.length > 0) {
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const anyChecked = await container.$('input[type="radio"][aria-label*="resume"]:checked, input[type="radio"][aria-label*="Resume"]:checked').catch(() => null);
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if (!anyChecked) {
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await resumeRadios[0].click().catch(() => {});
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}
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} else if (resumePath) {
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// No resume radios — try file upload
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const fileInput = await container.$('input[type="file"]');
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if (fileInput) await fileInput.setInputFiles(resumePath).catch(() => {});
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}
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// Phone — always overwrite (LinkedIn pre-fills wrong number)
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for (const inp of await container.$$('input[type="text"], input[type="tel"]')) {
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if (!await inp.isVisible().catch(() => false)) continue;
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const lbl = await this.getLabel(inp);
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if (lbl.toLowerCase().includes('phone') || lbl.toLowerCase().includes('mobile')) {
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await inp.click({ clickCount: 3 }).catch(() => {});
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await inp.fill(this.profile.phone || '').catch(() => {});
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}
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}
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// Text / number / url / email inputs
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for (const inp of await container.$$('input[type="text"], input[type="number"], input[type="url"], input[type="email"]')) {
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if (!await inp.isVisible().catch(() => false)) continue;
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const lbl = await this.getLabel(inp);
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if (!lbl || lbl.toLowerCase().includes('phone') || lbl.toLowerCase().includes('mobile')) continue;
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const existing = await inp.inputValue().catch(() => '');
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if (existing?.trim()) continue;
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if (this.isHoneypot(lbl)) return [{ label: lbl, honeypot: true }];
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let answer = this.answerFor(lbl);
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// AI fallback for unknown required fields
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if (!answer && await this.isRequired(inp)) {
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answer = await this.aiAnswerFor(lbl);
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if (answer) this.saveAnswer(lbl, answer);
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}
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if (answer && answer !== this.profile.cover_letter) {
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await inp.fill(String(answer)).catch(() => {});
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// Handle city/location autocomplete dropdowns
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const ll = lbl.toLowerCase();
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if (ll.includes('city') || ll.includes('location') || ll.includes('located')) {
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await this.selectAutocomplete(page, container);
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}
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} else {
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// No answer from profile, custom answers, or AI — check if required
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if (await this.isRequired(inp)) unknown.push(lbl);
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}
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}
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// Textareas
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for (const ta of await container.$$('textarea')) {
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if (!await ta.isVisible().catch(() => false)) continue;
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const lbl = await this.getLabel(ta);
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const existing = await ta.inputValue().catch(() => '');
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if (existing?.trim()) continue;
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let answer = this.answerFor(lbl);
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if (!answer && await this.isRequired(ta)) {
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answer = await this.aiAnswerFor(lbl);
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if (answer) this.saveAnswer(lbl, answer);
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}
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if (answer) {
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await ta.fill(answer).catch(() => {});
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} else {
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if (await this.isRequired(ta)) unknown.push(lbl);
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}
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}
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// Fieldsets (radios and checkbox groups)
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for (const fs of await container.$$('fieldset')) {
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const leg = await fs.$eval('legend', el => {
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let raw = (el.textContent || '').replace(/\s+/g, ' ').replace(/\s*\*\s*$/, '').replace(/\s*Required\s*$/i, '').trim();
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if (raw.length > 8) {
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for (let len = Math.ceil(raw.length / 2); len >= 4; len--) {
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const candidate = raw.slice(0, len);
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if (raw.startsWith(candidate + candidate)) { raw = candidate.trim(); break; }
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}
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}
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return raw;
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}).catch(() => '');
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if (!leg) continue;
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const anyChecked = await fs.$('input:checked');
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if (anyChecked) continue;
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// Detect if this is a checkbox group (multi-select) vs radio group
|
|
const isCheckboxGroup = (await fs.$$('input[type="checkbox"]')).length > 0;
|
|
// Collect option labels for AI context
|
|
const labels = await fs.$$('label');
|
|
const optionTexts = [];
|
|
for (const lbl of labels) {
|
|
const t = (await lbl.textContent().catch(() => '') || '').trim();
|
|
if (t) optionTexts.push(t);
|
|
}
|
|
let answer = this.answerFor(leg);
|
|
if (!answer) {
|
|
answer = await this.aiAnswerFor(leg, { options: optionTexts });
|
|
if (answer) this.saveAnswer(leg, answer);
|
|
}
|
|
if (answer) {
|
|
if (isCheckboxGroup) {
|
|
// Multi-select: split comma-separated answers and click each matching label
|
|
const selections = answer.split(',').map(s => s.trim().toLowerCase());
|
|
for (const lbl of labels) {
|
|
const text = (await lbl.textContent().catch(() => '') || '').trim();
|
|
if (selections.some(s => text.toLowerCase() === s || text.toLowerCase().includes(s))) {
|
|
await lbl.click().catch(() => {});
|
|
}
|
|
}
|
|
} else {
|
|
// Single-select radio: click the matching label, then verify
|
|
let clicked = false;
|
|
for (const lbl of labels) {
|
|
const text = (await lbl.textContent().catch(() => '') || '').trim();
|
|
if (text.toLowerCase() === answer.toLowerCase() ||
|
|
text.toLowerCase().startsWith(answer.toLowerCase())) {
|
|
await lbl.click().catch(() => {});
|
|
clicked = true;
|
|
break;
|
|
}
|
|
}
|
|
// Verify a radio got checked — if not, try clicking the input directly
|
|
if (clicked) {
|
|
const nowChecked = await fs.$('input:checked');
|
|
if (!nowChecked) {
|
|
const radios = await fs.$$('input[type="radio"]');
|
|
for (const radio of radios) {
|
|
const val = await radio.evaluate(el => el.value || el.nextSibling?.textContent?.trim() || '').catch(() => '');
|
|
if (val.toLowerCase() === answer.toLowerCase() ||
|
|
val.toLowerCase().startsWith(answer.toLowerCase())) {
|
|
await radio.click({ force: true }).catch(() => {});
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
// Last resort: try as a <select> within the fieldset
|
|
if (!clicked || !(await fs.$('input:checked'))) {
|
|
const sel = await fs.$('select');
|
|
if (sel) await this.selectOptionFuzzy(sel, answer);
|
|
}
|
|
}
|
|
} else {
|
|
unknown.push(leg);
|
|
}
|
|
}
|
|
|
|
// Selects
|
|
for (const sel of await container.$$('select')) {
|
|
if (!await sel.isVisible().catch(() => false)) continue;
|
|
const lbl = await this.getLabel(sel);
|
|
const existing = await sel.inputValue().catch(() => '');
|
|
// "Select an option" is LinkedIn's placeholder — treat as unfilled
|
|
if (existing && !/^select an? /i.test(existing)) continue;
|
|
let answer = this.answerFor(lbl);
|
|
if (!answer) {
|
|
// EEO/voluntary fields — default to "Prefer not to disclose"
|
|
const ll = lbl.toLowerCase();
|
|
if (ll.includes('race') || ll.includes('ethnicity') || ll.includes('gender') ||
|
|
ll.includes('veteran') || ll.includes('disability') || ll.includes('identification')) {
|
|
const opts = await sel.$$('option');
|
|
for (const opt of opts) {
|
|
const text = await opt.textContent().catch(() => '');
|
|
if (/prefer not|decline|do not wish|i don/i.test(text || '')) {
|
|
await sel.selectOption({ label: text.trim() }).catch(() => {});
|
|
break;
|
|
}
|
|
}
|
|
continue;
|
|
}
|
|
// AI fallback for required selects
|
|
if (await this.isRequired(sel)) {
|
|
const opts = await sel.$$('option');
|
|
const options = [];
|
|
for (const opt of opts) {
|
|
const text = (await opt.textContent().catch(() => '') || '').trim();
|
|
if (text && !/^select/i.test(text)) options.push(text);
|
|
}
|
|
answer = await this.aiAnswerFor(lbl, { options });
|
|
if (answer) {
|
|
this.saveAnswer(lbl, answer);
|
|
} else {
|
|
unknown.push({ label: lbl, type: 'select', options });
|
|
continue;
|
|
}
|
|
}
|
|
}
|
|
if (answer) {
|
|
await this.selectOptionFuzzy(sel, answer);
|
|
}
|
|
}
|
|
|
|
// Checkboxes — "mark as top choice" and similar opt-ins
|
|
for (const cb of await container.$$('input[type="checkbox"]')) {
|
|
if (!await cb.isVisible().catch(() => false)) continue;
|
|
if (await cb.isChecked().catch(() => false)) continue;
|
|
const lbl = await this.getLabel(cb);
|
|
const ll = lbl.toLowerCase();
|
|
if (ll.includes('top choice') || ll.includes('interested') || ll.includes('confirm') || ll.includes('agree') || ll.includes('consent')) {
|
|
await cb.check().catch(() => {});
|
|
}
|
|
}
|
|
|
|
return unknown;
|
|
}
|
|
}
|