Auto-deploy: 2026-05-17 02:14:05

content.js

@@ -567,6 +567,13 @@
     analyzeBtn.disabled = true;
 
     try {
+      if (tab === 'qa') {
+        const freshData = extractApplicationQuestions();
+        if (freshData.length > 0) {
+          jobData.questions = freshData;
+        }
+      }
+
       const prompt = buildPromptV2(tab, jobData, settings.userProfile, settings.language);
       const response = await chrome.runtime.sendMessage({
         type: 'GEMINI_REQUEST',
@@ -749,6 +756,25 @@ Brief honest assessment of this opportunity for my profile`
   // ─── Markdown Renderer ───────────────────────────────────────────────────
 
   function renderMarkdown(text) {
+    try {
+      const startIdx = text.indexOf('{');
+      const endIdx = text.lastIndexOf('}');
+      if (startIdx !== -1 && endIdx !== -1) {
+        const parsed = JSON.parse(text.substring(startIdx, endIdx + 1));
+        let html = '<div style="display:flex;flex-direction:column;gap:12px;">';
+        for (const [q, a] of Object.entries(parsed)) {
+          html += `<div style="background: rgba(255,255,255,0.05); padding: 10px; border-radius: 6px;">
+            <div style="font-weight: 600; font-size: 13px; color: #fff; margin-bottom: 4px;">❓ ${q}</div>
+            <div style="color: #4caf50; font-size: 13px;">💡 ${a}</div>
+          </div>`;
+        }
+        html += '</div>';
+        return html;
+      }
+    } catch(e) {
+      // Not JSON, continue to normal markdown rendering
+    }
+
     return text
       .replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;')
       .replace(/^## (.+)$/gm, '<h3>$1</h3>')
@@ -766,25 +792,77 @@ Brief honest assessment of this opportunity for my profile`
 
   function autoFillAnswers(qaText, root) {
     showPanelToast(root, '🔄 Attempting to fill answers...');
-    // Parse numbered answers from AI response
-    const answerLines = qaText.split('\n');
-    const inputs = document.querySelectorAll('.jobs-easy-apply-content input[type="text"], .jobs-easy-apply-content textarea');
+    let answers = {};
+    try {
+      const startIndex = qaText.indexOf('{');
+      const endIndex = qaText.lastIndexOf('}');
+      if (startIndex !== -1 && endIndex !== -1) {
+        answers = JSON.parse(qaText.substring(startIndex, endIndex + 1));
+      }
+    } catch (e) {
+      console.error('Failed to parse AI answers JSON:', e);
+    }
+
+    if (Object.keys(answers).length === 0) {
+      showPanelToast(root, '⚠️ Could not parse answers. Please copy manually.');
+      return;
+    }
 
     let filled = 0;
-    inputs.forEach((input, idx) => {
-      const answerLine = answerLines.find(l => l.match(new RegExp(`^${idx + 1}\\.`)));
-      if (answerLine) {
-        const answer = answerLine.replace(/^\d+\.\s*/, '').trim();
-        if (answer) {
-          input.value = answer;
+    const labels = document.querySelectorAll('.jobs-easy-apply-content label, .jobs-easy-apply-content legend, .jobs-easy-apply-content .fb-dash-form-element__label');
+
+    labels.forEach(label => {
+      const qText = label.textContent.trim().toLowerCase();
+      if (!qText) return;
+
+      const matchedKey = Object.keys(answers).find(k => {
+        const kLower = k.toLowerCase();
+        return kLower.includes(qText) || qText.includes(kLower);
+      });
+
+      if (matchedKey && answers[matchedKey]) {
+        const parent = label.closest('.fb-dash-form-element') || label.parentElement;
+        const answerVal = String(answers[matchedKey]);
+
+        // 1. Fill Text inputs / Textareas
+        const input = parent.querySelector('input[type="text"], textarea');
+        if (input) {
+          input.value = answerVal;
           input.dispatchEvent(new Event('input', { bubbles: true }));
           input.dispatchEvent(new Event('change', { bubbles: true }));
           filled++;
         }
+
+        // 2. Select dropdowns
+        const select = parent.querySelector('select');
+        if (select) {
+          const options = Array.from(select.options);
+          const matchedOpt = options.find(o => o.text.toLowerCase() === answerVal.toLowerCase() || o.value.toLowerCase() === answerVal.toLowerCase() || o.text.toLowerCase().includes(answerVal.toLowerCase()));
+          if (matchedOpt) {
+            select.value = matchedOpt.value;
+            select.dispatchEvent(new Event('change', { bubbles: true }));
+            filled++;
+          }
+        }
+
+        // 3. Radio Buttons (Yes/No)
+        const radios = parent.querySelectorAll('input[type="radio"]');
+        if (radios.length > 0) {
+          let radioClicked = false;
+          radios.forEach(radio => {
+            const radioLabel = radio.parentElement.textContent.trim().toLowerCase();
+            const aLower = answerVal.toLowerCase();
+            if (radioLabel === aLower || (aLower === 'yes' && radioLabel.includes('yes')) || (aLower === 'no' && radioLabel.includes('no'))) {
+              radio.click();
+              radioClicked = true;
+            }
+          });
+          if (radioClicked) filled++;
+        }
       }
     });
 
-    showPanelToast(root, filled > 0 ? `✅ Filled ${filled} fields` : '⚠️ Could not auto-fill. Copy answers manually.');
+    showPanelToast(root, filled > 0 ? `✅ Filled ${filled} fields` : '⚠️ No matching fields found to auto-fill.');
   }
 
   // ─── Utilities ───────────────────────────────────────────────────────────

prompts.js

@@ -112,47 +112,28 @@ Respond EXACTLY:
 ## NEW BULLET POINTS TO ADD
 - [2-3 new achievement bullets ready to paste into CV — in English]`;
 
-  P.qa = `You are a career coach. Generate ready-to-paste application answers.
-IMPORTANT: ALL answers MUST be in English regardless of the job posting language.
+  const dynamicQuestions = job.questions && job.questions.length > 0 
+    ? 'Answer THESE specific application questions:\n' + job.questions.map((q, i) => `${i + 1}. ${q.question}`).join('\n')
+    : 'Answer these common application questions:\n1. Why are you interested in this role?\n2. What is your relevant experience?\n3. What are your salary expectations?\n4. When can you start?\n5. Do you require visa sponsorship?';
+
+  P.qa = `You are a career coach.
+IMPORTANT: ALL answers MUST be in English. Be highly concise (1 sentence max for text inputs, Yes/No for radio inputs).
 
 ${prof}
 
 JOB:
 ${ctx}
 
-Generate answers for ALL:
+${dynamicQuestions}
 
-## 1. Why are you interested in this role?
-[3-4 sentences specific to ${co} and this role — in English]
-
-## 2. Why ${co}?
-[2-3 sentences referencing something specific about the company]
-
-## 3. Relevant experience
-[4-5 sentences — most relevant achievements for this role]
-
-## 4. Expected salary
-[Competitive range for ${loc} market — USD and local currency]
-
-## 5. When can you start?
-Available immediately or within 2 weeks.
-
-## 6. Visa sponsorship needed?
-Based in Jordan. Open to relocation. Willing to process visa requirements.
-
-## 7. Notice period
-Available immediately — currently seeking new opportunities.
-
-## 8. Willing to relocate?
-Yes, open to ${loc} and broader Middle East.
-
-## 9. Why are you the best candidate?
-[3-4 sentences — unique differentiators for THIS role]
-
-## 10. Key technology experience
-[Identify top 2-3 technologies from the job description and write specific answers about my experience]
-
-RULES: ALL answers in English. Ready to paste. No brackets. Concise. Use numbers.`;
+RETURN EXACTLY A RAW JSON OBJECT where keys are the exact questions above and values are your concise answers.
+Do NOT use markdown code blocks like \`\`\`json. Just return the raw JSON.
+Example:
+{
+  "Have you completed the following level of education: Bachelor's Degree?": "Yes",
+  "How many years of work experience do you have with Infrastructure?": "6",
+  "Why are you interested in this role?": "My background in mapping perfectly aligns with your needs."
+}`;
 
   P.benefits = `You are a career analyst specializing in tech compensation in MENA.
 IMPORTANT: Respond ENTIRELY in English regardless of the job posting language.