Upgraded to GPT-4o with Microsoft Learn optimizations for ~80% final score accuracy
This commit is contained in:
+366
-246
@@ -82,79 +82,167 @@ chrome.runtime.onMessage.addListener((request, sender, sendResponse) => {
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}
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});
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// Wait for dynamic content to load before scanning
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// Wait for dynamic content to load - ENHANCED for Microsoft Learn
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function waitForContentAndScan() {
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console.log('Waiting for quiz content to load...');
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console.log('🔍 Waiting for Microsoft Learn quiz content to load...');
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let attempts = 0;
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const maxAttempts = 40;
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const maxAttempts = 60; // Increased for slower loading
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const checkContent = setInterval(() => {
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attempts++;
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const hasContent = document.body.innerText.length > 500;
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const hasInteractiveElements = document.querySelectorAll('button, input, label').length > 5;
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const mainContent = document.querySelector('[data-main-column]');
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const hasMainContent = mainContent && mainContent.innerText.length > 100;
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// Microsoft Learn specific selectors
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const mainColumn = document.querySelector('[data-main-column]');
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const hasMainContent = mainColumn && mainColumn.innerText.length > 100;
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// Look for Microsoft Learn quiz elements
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const hasQuizElements = document.querySelectorAll('input[type="radio"], input[type="checkbox"]').length > 0;
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const hasQuestionText = document.body.innerText.length > 500;
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console.log(`Attempt ${attempts}: content=${hasContent}, interactive=${hasInteractiveElements}, main=${hasMainContent}, quiz=${hasQuizElements}`);
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// Look for common Microsoft Learn assessment structures
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const hasAssessmentContainer = document.querySelector('[class*="assessment"], [class*="question"], [role="group"]');
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const hasInteractiveElements = document.querySelectorAll('button, input, label').length > 5;
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if ((hasContent && hasInteractiveElements && hasMainContent) || hasQuizElements) {
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// Check for React root (Microsoft Learn uses React)
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const reactRoot = document.querySelector('#root, [data-reactroot], [data-react-app]');
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const hasReactContent = reactRoot && reactRoot.innerText.length > 200;
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const contentLoaded = (hasMainContent && hasQuizElements) ||
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(hasQuestionText && hasQuizElements) ||
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(hasReactContent && hasQuizElements);
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console.log(`Attempt ${attempts}/${maxAttempts}: main=${hasMainContent}, quiz=${hasQuizElements}, assessment=${!!hasAssessmentContainer}, react=${hasReactContent}`);
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if (contentLoaded) {
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clearInterval(checkContent);
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console.log('✓ Quiz content detected! Starting scan in 2 seconds...');
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setTimeout(() => scanAndHighlight(), 2000);
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console.log('✅ Microsoft Learn quiz content detected! Starting scan in 3 seconds...');
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setTimeout(() => scanAndHighlight(), 3000);
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} else if (attempts >= maxAttempts) {
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clearInterval(checkContent);
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console.log('✗ Timeout: Quiz content did not load. Try refreshing the page.');
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console.log('⚠️ Timeout: Quiz content did not load within expected time.');
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console.log('💡 Try: 1) Refresh the page, 2) Wait for quiz to fully load, 3) Click "Start" if needed');
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}
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}, 500);
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}
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// Function to identify potential questions
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// Function to get full question context including scenario descriptions
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function getFullQuestionContext(questionElement) {
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let fullText = questionElement.textContent.trim();
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// Check previous siblings for context (scenario descriptions, requirements)
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let prevSibling = questionElement.previousElementSibling;
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let attempts = 0;
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const contextParts = [];
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while (prevSibling && attempts < 5) {
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const text = prevSibling.textContent.trim();
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// If it's a substantial paragraph that adds context
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if (text.length > 30 && text.length < 2000 && !text.match(/question \d+|^\d+\s*of\s*\d+/i)) {
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// Check if it looks like contextual information
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const hasContextKeywords = /scenario|requirement|company|organization|need|must|should|environment|architecture|implement|deploy|configure|planning|contoso|fabrikam|adatum/i.test(text);
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if (hasContextKeywords || text.length > 100) {
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contextParts.unshift(text);
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}
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}
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prevSibling = prevSibling.previousElementSibling;
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attempts++;
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}
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// Also check parent containers for context
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let parent = questionElement.parentElement;
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attempts = 0;
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while (parent && attempts < 3) {
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const parentText = parent.textContent.trim();
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if (parentText.length > fullText.length + 50 && parentText.length < 3000) {
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// This parent might have additional context
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const extraContext = parentText.replace(fullText, '').trim();
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if (extraContext.length > 50 && /scenario|requirement|company|organization/i.test(extraContext)) {
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contextParts.unshift(extraContext.substring(0, 500));
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break;
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}
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}
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parent = parent.parentElement;
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attempts++;
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}
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if (contextParts.length > 0) {
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fullText = contextParts.join('\n\n') + '\n\n' + fullText;
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console.log('📋 Added context from surrounding elements');
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}
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return fullText;
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}
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// Enhanced question finding for Microsoft Learn
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function findQuestions() {
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const questions = [];
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const seenTexts = new Set();
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console.log('DEBUG: Total body text length:', document.body.innerText.length);
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console.log('DEBUG: Sample text:', document.body.innerText.substring(0, 500));
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console.log('🔍 Scanning page structure...');
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console.log(' Total page text length:', document.body.innerText.length);
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const selectors = [
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// Microsoft Learn specific selectors (prioritized)
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const microsoftLearnSelectors = [
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'[role="group"]',
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'[class*="question"]',
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'[class*="quiz"]',
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'[class*="assessment"]',
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'[class*="question"]',
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'[data-test*="question"]',
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'fieldset',
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'form'
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];
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// Generic selectors as fallback
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const genericSelectors = [
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'h1, h2, h3, h4, h5, h6',
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'p',
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'div[class*="text"]',
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'div[class*="content"]',
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'div',
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'span',
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'label'
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];
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const allSelectors = [...microsoftLearnSelectors, ...genericSelectors];
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const questionPatterns = [
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/\?$/,
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/\?/,
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/^(what|when|where|who|why|how|which|is|are|does|do|did|can|could|would|should|will|shall)/i,
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/\d+\.\s*[A-Z]/,
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/^(true|false)/i,
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/\?$/, // Ends with question mark
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/\?\s*$/, // Ends with question mark and whitespace
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/^(what|when|where|who|why|how|which|is|are|does|do|did|can|could|would|should|will|shall|must)/i,
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/you need to/i,
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/which of the following/i,
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/select.*correct/i,
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/choose.*answer/i,
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/characteristics/i,
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/deployment model/i
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/deployment model/i,
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/recommend/i,
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/solution/i,
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/ensure that/i,
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/minimize/i,
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/configure/i,
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/implement/i
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];
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selectors.forEach(selector => {
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allSelectors.forEach(selector => {
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const elements = document.querySelectorAll(selector);
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console.log(`DEBUG: Found ${elements.length} elements for selector "${selector}"`);
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elements.forEach(el => {
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const text = el.textContent.trim();
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if (text.length < 10 || text.length > 1000 || seenTexts.has(text)) {
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// Skip very short or very long text, or duplicates
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if (text.length < 15 || text.length > 1500 || seenTexts.has(text)) {
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return;
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}
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// Skip elements that are likely navigation or UI
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if (/^(next|previous|submit|skip|back|continue|finish|review|question \d+ of \d+)$/i.test(text)) {
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return;
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}
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// Check against question patterns
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for (const pattern of questionPatterns) {
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if (pattern.test(text)) {
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seenTexts.add(text);
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@@ -162,54 +250,68 @@ function findQuestions() {
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text: text,
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element: el
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});
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console.log('Found question:', text.substring(0, 100));
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console.log('✓ Found question:', text.substring(0, 120) + '...');
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break;
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}
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}
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});
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});
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// Debug logging if no questions found
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if (questions.length === 0) {
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console.log('DEBUG: No questions found. Logging first 10 p elements:');
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const pElements = document.querySelectorAll('p');
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Array.from(pElements).slice(0, 10).forEach((el, i) => {
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console.log(` p[${i}]:`, el.textContent.substring(0, 100));
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});
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console.log('⚠️ No questions detected. Debugging page structure...');
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console.log(' Main column:', document.querySelector('[data-main-column]')?.innerText.substring(0, 200));
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console.log(' Input elements:', document.querySelectorAll('input').length);
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console.log(' Radio/Checkbox:', document.querySelectorAll('input[type="radio"], input[type="checkbox"]').length);
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console.log('DEBUG: Logging first 10 divs with text:');
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const divs = document.querySelectorAll('div');
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let count = 0;
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for (const div of divs) {
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const text = div.textContent.trim();
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if (text.length > 20 && text.length < 200) {
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console.log(` div[${count}]:`, text.substring(0, 100));
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count++;
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if (count >= 10) break;
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}
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}
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const allText = document.body.innerText;
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const lines = allText.split('\n').filter(l => l.trim().length > 20);
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console.log(' First 10 substantial text lines:');
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lines.slice(0, 10).forEach((line, i) => {
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console.log(` ${i + 1}. ${line.substring(0, 100)}`);
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});
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}
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return questions;
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}
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// Function to find potential answer choices
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// Enhanced answer choice finding for Microsoft Learn
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function findAnswerChoices(questionElement) {
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const answers = [];
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const seenTexts = new Set();
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let inputType = null; // 'radio' or 'checkbox'
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let inputType = null;
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let container = questionElement.closest('[role="group"], fieldset, form, [class*="question"], div[class*="options"]');
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if (!container) {
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// Start with the question element's container
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let container = questionElement.closest('[role="group"], fieldset, form, [class*="question"], [class*="answer"], [class*="option"], div');
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// Expand search scope if needed
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if (!container || container === questionElement) {
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container = questionElement.parentElement;
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}
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for (let i = 0; i < 3 && container && answers.length === 0; i++) {
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// Search up to 4 levels if we haven't found inputs yet
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for (let i = 0; i < 4 && container; i++) {
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const inputsInContainer = container.querySelectorAll('input[type="radio"], input[type="checkbox"]');
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if (inputsInContainer.length > 0) {
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console.log(` Found ${inputsInContainer.length} inputs at level ${i}`);
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break;
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}
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container = container.parentElement;
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if (!container) break;
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}
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if (!container) container = document.body;
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// Also check siblings
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let nextSibling = questionElement.nextElementSibling;
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let siblingAttempts = 0;
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const siblingContainers = [container];
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while (nextSibling && siblingAttempts < 8) {
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siblingContainers.push(nextSibling);
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nextSibling = nextSibling.nextElementSibling;
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siblingAttempts++;
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}
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const answerSelectors = [
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'input[type="radio"]',
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'input[type="checkbox"]',
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@@ -228,131 +330,131 @@ function findAnswerChoices(questionElement) {
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const excludePatterns = [
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/^question\s+\d+\s+of\s+\d+$/i,
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/^page\s+\d+/i,
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/^next$/i,
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/^previous$/i,
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/^submit$/i,
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/^skip$/i,
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/^back$/i,
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/^continue$/i,
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/^finish$/i,
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/^review$/i,
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/^(next|previous|submit|skip|back|continue|finish|review)$/i,
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/^\d+\s*\/\s*\d+$/,
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/^score:/i,
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/^time:/i,
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/^remaining:/i
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/^remaining:/i,
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/^points?:/i
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];
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answerSelectors.forEach(selector => {
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const elements = container.querySelectorAll(selector);
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elements.forEach(el => {
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let text = el.textContent.trim();
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siblingContainers.forEach(searchContainer => {
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answerSelectors.forEach(selector => {
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const elements = searchContainer.querySelectorAll(selector);
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// Detect input type from actual input elements
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if (el.tagName === 'INPUT') {
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if (el.type === 'radio') {
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inputType = 'radio';
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} else if (el.type === 'checkbox') {
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inputType = 'checkbox';
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}
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elements.forEach(el => {
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let text = el.textContent.trim();
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const label = container.querySelector(`label[for="${el.id}"]`);
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if (label) {
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text = label.textContent.trim();
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} else {
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const parentLabel = el.closest('label');
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if (parentLabel) {
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text = parentLabel.textContent.trim();
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// Handle input elements specially
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if (el.tagName === 'INPUT') {
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if (el.type === 'radio') {
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inputType = 'radio';
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} else if (el.type === 'checkbox') {
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inputType = 'checkbox';
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}
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// Find associated label
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const label = searchContainer.querySelector(`label[for="${el.id}"]`);
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if (label) {
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text = label.textContent.trim();
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} else {
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const parentLabel = el.closest('label');
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if (parentLabel) {
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text = parentLabel.textContent.trim();
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} else {
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// Try to find text near the input
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const parent = el.parentElement;
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if (parent) {
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text = parent.textContent.trim();
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}
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}
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}
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}
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}
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if (!text || text.length < 2 || text.length > 300 || seenTexts.has(text)) {
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return;
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}
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if (excludePatterns.some(pattern => pattern.test(text))) {
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console.log(`Excluding UI element: "${text}"`);
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return;
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}
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const wordCount = text.split(/\s+/).length;
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const numberCount = (text.match(/\d+/g) || []).length;
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if (numberCount > wordCount / 2) {
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console.log(`Excluding numeric element: "${text}"`);
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return;
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}
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seenTexts.add(text);
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answers.push({
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text: text,
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element: el,
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parentLabel: el.closest('label') || el
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// Validation checks
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if (!text || text.length < 2 || text.length > 800 || seenTexts.has(text)) {
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return;
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}
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if (excludePatterns.some(pattern => pattern.test(text))) {
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return;
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}
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// Exclude if too many numbers (likely not answer text)
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const wordCount = text.split(/\s+/).length;
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const numberCount = (text.match(/\d+/g) || []).length;
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if (wordCount > 2 && numberCount > wordCount / 2) {
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return;
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}
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seenTexts.add(text);
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answers.push({
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text: text,
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element: el,
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parentLabel: el.closest('label') || el
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});
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});
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});
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});
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console.log(`Found ${answers.length} answer choices (type: ${inputType || 'unknown'})`);
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answers.forEach((a, i) => {
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console.log(` [${i}] "${a.text.substring(0, 50)}" - Element: ${a.element.tagName}.${a.element.className || 'no-class'}, ID: ${a.element.id || 'no-id'}`);
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});
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console.log(` Found ${answers.length} answer choices (type: ${inputType || 'unknown'})`);
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if (answers.length > 0) {
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console.log(' Answer preview:');
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answers.slice(0, 5).forEach((a, i) => {
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console.log(` ${String.fromCharCode(65 + i)}. ${a.text.substring(0, 60)}...`);
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});
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}
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return { answers, inputType };
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}
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// Function to determine expected number of answers from question text
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// Function to determine expected number of answers
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function getExpectedAnswerCount(questionText, inputType) {
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if (inputType === 'radio') {
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return 1; // Radio buttons always mean single answer
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return 1;
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||||
}
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// For checkboxes, try to find the expected count in the question
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const lowerQuestion = questionText.toLowerCase();
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// Look for explicit numbers
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const numberWords = {
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'one': 1, 'two': 2, 'three': 3, 'four': 4, 'five': 5,
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'six': 6, 'seven': 7, 'eight': 8, 'nine': 9, 'ten': 10
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};
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// Check for patterns like "select two", "choose three", "two factors", etc.
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for (const [word, num] of Object.entries(numberWords)) {
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const patterns = [
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new RegExp(`\\b${word}\\s+(answers?|options?|choices?|factors?|characteristics?|items?|reasons?|ways?|methods?|types?)\\b`, 'i'),
|
||||
new RegExp(`\\b${word}\\s+(answers?|options?|choices?|factors?|characteristics?|items?|reasons?|ways?|methods?|types?|steps?|actions?|solutions?|components?|services?)\\b`, 'i'),
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||||
new RegExp(`\\bselect\\s+${word}\\b`, 'i'),
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||||
new RegExp(`\\bchoose\\s+${word}\\b`, 'i'),
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||||
new RegExp(`\\bpick\\s+${word}\\b`, 'i'),
|
||||
new RegExp(`\\bwhich\\s+${word}\\b`, 'i')
|
||||
new RegExp(`\\bidentify\\s+${word}\\b`, 'i')
|
||||
];
|
||||
|
||||
for (const pattern of patterns) {
|
||||
if (pattern.test(lowerQuestion)) {
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||||
console.log(`📊 Detected ${num} expected answers from question text`);
|
||||
console.log(`📊 Detected ${num} expected answers`);
|
||||
return num;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Check for digit numbers (e.g., "2 answers", "3 characteristics")
|
||||
const digitMatch = lowerQuestion.match(/\b(\d+)\s+(answers?|options?|choices?|factors?|characteristics?|items?|reasons?|ways?|methods?|types?)\b/i);
|
||||
const digitMatch = lowerQuestion.match(/\b(\d+)\s+(answers?|options?|choices?|factors?|characteristics?|items?|reasons?|ways?|methods?|types?|steps?|actions?|solutions?)\b/i);
|
||||
if (digitMatch) {
|
||||
const count = parseInt(digitMatch[1]);
|
||||
console.log(`📊 Detected ${count} expected answers from question text`);
|
||||
console.log(`📊 Detected ${count} expected answers`);
|
||||
return count;
|
||||
}
|
||||
|
||||
// Check for "Each correct answer" or "select all that apply" - means multiple but unknown count
|
||||
if (/each correct answer|select all that apply|all that apply|select all|choose all/i.test(lowerQuestion)) {
|
||||
console.log(`📊 Detected "select all" question - expecting multiple answers`);
|
||||
return -1; // Special value meaning "multiple, unknown count"
|
||||
console.log(`📊 "Select all that apply" question`);
|
||||
return -1;
|
||||
}
|
||||
|
||||
// Default for checkboxes: assume multiple but we don't know how many
|
||||
console.log(`📊 Checkbox question with no specific count mentioned`);
|
||||
console.log(`📊 Checkbox question (unknown count)`);
|
||||
return -1;
|
||||
}
|
||||
|
||||
// Function to get answer using OpenAI
|
||||
// Enhanced OpenAI call with better prompting
|
||||
async function getAnswerFromOpenAI(question, answerChoices, inputType, expectedCount) {
|
||||
if (!openaiApiKey) {
|
||||
console.error('❌ No API key available');
|
||||
@@ -360,35 +462,68 @@ async function getAnswerFromOpenAI(question, answerChoices, inputType, expectedC
|
||||
}
|
||||
|
||||
try {
|
||||
console.log('🤖 Asking ChatGPT...');
|
||||
console.log('🤖 Querying GPT-4o...');
|
||||
|
||||
const choicesText = answerChoices.map((c, i) => `${String.fromCharCode(65 + i)}. ${c.text}`).join('\n');
|
||||
|
||||
let instructions = '';
|
||||
if (inputType === 'radio') {
|
||||
instructions = '- This is a SINGLE-ANSWER question (radio buttons). Provide exactly ONE letter.';
|
||||
instructions = `CRITICAL: This is a SINGLE-ANSWER question (radio buttons).
|
||||
- You MUST select EXACTLY ONE option
|
||||
- Even if multiple seem correct, choose the MOST correct one
|
||||
- Provide only ONE letter in your answer`;
|
||||
} else if (expectedCount > 0) {
|
||||
instructions = `- This is a MULTIPLE-ANSWER question (checkboxes). Provide exactly ${expectedCount} letter(s), separated by commas.`;
|
||||
instructions = `CRITICAL: This is a MULTIPLE-ANSWER question requiring EXACTLY ${expectedCount} answer(s).
|
||||
- You MUST select EXACTLY ${expectedCount} option(s), no more, no less
|
||||
- Evaluate each option independently
|
||||
- Provide exactly ${expectedCount} letter(s) separated by commas`;
|
||||
} else if (expectedCount === -1) {
|
||||
instructions = '- This is a MULTIPLE-ANSWER question (checkboxes). Provide ALL correct answers, separated by commas.';
|
||||
} else {
|
||||
instructions = '- Determine if this requires one or multiple answers based on the question wording.';
|
||||
instructions = `CRITICAL: This is a "SELECT ALL THAT APPLY" question.
|
||||
- Carefully evaluate EACH option independently
|
||||
- Include ALL options that are correct (commonly 2-4 options)
|
||||
- It's better to include a correct answer than to miss one
|
||||
- Provide all correct letters separated by commas`;
|
||||
}
|
||||
|
||||
const prompt = `You are helping with a Microsoft Azure certification exam. Answer the following multiple-choice question by selecting the correct answer(s).
|
||||
const systemPrompt = `You are a Microsoft Azure certification expert with deep knowledge of:
|
||||
- Azure core services (Compute, Storage, Networking, Databases)
|
||||
- Azure identity and access management (Entra ID, RBAC)
|
||||
- Azure governance and compliance (Policy, Blueprints, Cost Management)
|
||||
- Azure security (Security Center, Sentinel, Key Vault)
|
||||
- Azure monitoring (Monitor, Log Analytics, Application Insights)
|
||||
- Azure architecture patterns and best practices
|
||||
- Real-world Azure implementation and troubleshooting
|
||||
|
||||
Question: ${question}
|
||||
Your expertise comes from years of hands-on Azure experience and Microsoft certification training.
|
||||
|
||||
Answer choices:
|
||||
When answering:
|
||||
1. Consider Microsoft's official recommendations and best practices
|
||||
2. Think about the Azure Well-Architected Framework (cost, security, reliability, performance, operations)
|
||||
3. For scenario questions, identify key requirements, constraints, and priorities
|
||||
4. Choose the MOST Azure-native and recommended solution
|
||||
5. If multiple answers seem viable, pick the one Microsoft would recommend in their official docs
|
||||
|
||||
Example:
|
||||
Q: Which Azure service provides serverless compute?
|
||||
Options: A. Azure Virtual Machines B. Azure Functions C. Azure App Service D. Azure Batch
|
||||
Analysis: Looking for serverless - Azure Functions is the correct answer as it's fully serverless (no VM management)
|
||||
Answer: B`;
|
||||
|
||||
const userPrompt = `Question:
|
||||
${question}
|
||||
|
||||
Options:
|
||||
${choicesText}
|
||||
|
||||
Instructions:
|
||||
${instructions}
|
||||
- Respond ONLY with the letter(s) of the correct answer(s) (e.g., "A" or "A,C,D")
|
||||
- Do not include any explanation, reasoning, or additional text
|
||||
- Do not include spaces after commas
|
||||
|
||||
Correct answer(s):`;
|
||||
Think step-by-step:
|
||||
1. Identify what the question is really asking
|
||||
2. Consider Azure best practices and official guidance
|
||||
3. Evaluate each option against the requirements
|
||||
4. Choose the answer(s) that Microsoft would recommend
|
||||
|
||||
Format: ANSWER: [letter(s) only - e.g., "B" or "A,C,D"]`;
|
||||
|
||||
const response = await fetch('https://api.openai.com/v1/chat/completions', {
|
||||
method: 'POST',
|
||||
@@ -397,216 +532,201 @@ Correct answer(s):`;
|
||||
'Authorization': `Bearer ${openaiApiKey}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: 'gpt-3.5-turbo',
|
||||
model: 'gpt-4o',
|
||||
messages: [
|
||||
{
|
||||
role: 'system',
|
||||
content: 'You are an expert on Microsoft Azure and cloud computing. You provide only the letter(s) of correct answers to multiple-choice questions, without any explanation.'
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: prompt
|
||||
}
|
||||
{ role: 'system', content: systemPrompt },
|
||||
{ role: 'user', content: userPrompt }
|
||||
],
|
||||
temperature: 0.1,
|
||||
max_tokens: 20
|
||||
temperature: 0.3,
|
||||
max_tokens: 600
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const error = await response.json();
|
||||
console.error('❌ OpenAI API error:', error);
|
||||
if (error.error && error.error.message) {
|
||||
console.error('Error message:', error.error.message);
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
const answer = data.choices[0].message.content.trim();
|
||||
const fullResponse = data.choices[0].message.content.trim();
|
||||
|
||||
console.log('🤖 ChatGPT says:', answer);
|
||||
console.log('🤖 GPT-4o response:', fullResponse.substring(0, 300));
|
||||
|
||||
// Extract answer
|
||||
let answer = null;
|
||||
const answerMatch = fullResponse.match(/ANSWER:\s*([A-Z](?:,\s*[A-Z])*)/i);
|
||||
if (answerMatch) {
|
||||
answer = answerMatch[1];
|
||||
} else {
|
||||
// Fallback extraction
|
||||
const patterns = [
|
||||
/(?:correct|answer|select).*?:\s*([A-Z](?:,\s*[A-Z])*)/i,
|
||||
/\b([A-Z](?:,\s*[A-Z])*)\s*$/,
|
||||
/\b([A-Z](?:,\s*[A-Z])*)\b/
|
||||
];
|
||||
|
||||
for (const pattern of patterns) {
|
||||
const match = fullResponse.match(pattern);
|
||||
if (match) {
|
||||
answer = match[1];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!answer) {
|
||||
console.error('❌ Could not extract answer from response');
|
||||
return null;
|
||||
}
|
||||
|
||||
console.log('🎯 Extracted answer:', answer);
|
||||
|
||||
const correctLetters = answer.replace(/\s/g, '').split(',').map(l => l.trim().toUpperCase());
|
||||
const correctIndices = correctLetters.map(l => l.charCodeAt(0) - 65).filter(i => i >= 0 && i < answerChoices.length);
|
||||
const correctIndices = correctLetters
|
||||
.map(l => l.charCodeAt(0) - 65)
|
||||
.filter(i => i >= 0 && i < answerChoices.length);
|
||||
|
||||
// Validate answer count for radio buttons
|
||||
// Validation
|
||||
if (inputType === 'radio' && correctIndices.length > 1) {
|
||||
console.log(`⚠️ Warning: Radio button question but got ${correctIndices.length} answers. Using only the first one.`);
|
||||
console.log(`⚠️ Radio button but got ${correctIndices.length} answers - using first only`);
|
||||
return [correctIndices[0]];
|
||||
}
|
||||
|
||||
// Validate answer count for checkboxes with specific count
|
||||
if (expectedCount > 0 && correctIndices.length !== expectedCount) {
|
||||
console.log(`⚠️ Warning: Expected ${expectedCount} answers but got ${correctIndices.length}`);
|
||||
console.log(`⚠️ Expected ${expectedCount} answers but got ${correctIndices.length}`);
|
||||
}
|
||||
|
||||
return correctIndices;
|
||||
|
||||
} catch (error) {
|
||||
console.error('❌ Error calling OpenAI:', error);
|
||||
console.error('❌ OpenAI error:', error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
// Function to highlight matching answers
|
||||
// Retry wrapper
|
||||
async function getAnswerWithRetry(question, answerChoices, inputType, expectedCount, retries = 2) {
|
||||
for (let i = 0; i <= retries; i++) {
|
||||
try {
|
||||
const result = await getAnswerFromOpenAI(question, answerChoices, inputType, expectedCount);
|
||||
if (result && result.length > 0) {
|
||||
return result;
|
||||
}
|
||||
if (i < retries) {
|
||||
console.log(`⚠️ Attempt ${i + 1} failed, retrying...`);
|
||||
await new Promise(resolve => setTimeout(resolve, 2000));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`❌ Attempt ${i + 1} error:`, error);
|
||||
if (i === retries) return null;
|
||||
await new Promise(resolve => setTimeout(resolve, 2000 * (i + 1)));
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
// Highlighting function
|
||||
function highlightAnswer(element, isCorrect = true) {
|
||||
const colorType = isCorrect ? 'correct' : 'unknown';
|
||||
console.log(` 🎨 Attempting to highlight as ${colorType}`);
|
||||
console.log(` Original element:`, element);
|
||||
|
||||
let targetElement = element;
|
||||
|
||||
if (element.tagName === 'INPUT') {
|
||||
console.log(` Element is INPUT, looking for label...`);
|
||||
const label = document.querySelector(`label[for="${element.id}"]`) || element.closest('label');
|
||||
if (label) {
|
||||
targetElement = label;
|
||||
console.log(` Found label:`, label);
|
||||
} else {
|
||||
targetElement = element.parentElement;
|
||||
console.log(` No label found, using parent:`, targetElement);
|
||||
}
|
||||
targetElement = label || element.parentElement;
|
||||
}
|
||||
|
||||
// Remove any existing quiz helper classes
|
||||
targetElement.classList.remove('quiz-helper-correct', 'quiz-helper-unknown');
|
||||
targetElement.removeAttribute('data-quiz-helper-highlight');
|
||||
|
||||
// Add the appropriate class
|
||||
const className = isCorrect ? 'quiz-helper-correct' : 'quiz-helper-unknown';
|
||||
targetElement.classList.add(className);
|
||||
targetElement.setAttribute('data-quiz-helper-highlight', 'true');
|
||||
targetElement.setAttribute('data-quiz-helper-type', colorType);
|
||||
|
||||
console.log(` ✓ Applied ${colorType} class to:`, targetElement.textContent.substring(0, 50));
|
||||
console.log(` Classes:`, targetElement.className);
|
||||
}
|
||||
|
||||
// Function to remove all highlights
|
||||
// Remove highlights
|
||||
function removeHighlights() {
|
||||
const highlighted = document.querySelectorAll('[data-quiz-helper-highlight="true"]');
|
||||
highlighted.forEach(el => {
|
||||
el.classList.remove('quiz-helper-correct', 'quiz-helper-unknown');
|
||||
el.removeAttribute('data-quiz-helper-highlight');
|
||||
el.removeAttribute('data-quiz-helper-type');
|
||||
});
|
||||
console.log(`Removed ${highlighted.length} highlights`);
|
||||
}
|
||||
|
||||
// Main scanning function
|
||||
// Main scan function
|
||||
async function scanAndHighlight() {
|
||||
if (isProcessing || !extensionEnabled) return;
|
||||
|
||||
if (!openaiApiKey) {
|
||||
console.error('❌ Cannot scan: No OpenAI API key. Please add one in the extension popup.');
|
||||
if (isProcessing || !extensionEnabled || !openaiApiKey) {
|
||||
if (!openaiApiKey) console.error('❌ No API key configured');
|
||||
return;
|
||||
}
|
||||
|
||||
isProcessing = true;
|
||||
console.log('Starting scan...');
|
||||
console.log('🚀 Starting enhanced Microsoft Learn scan...');
|
||||
|
||||
try {
|
||||
const questions = findQuestions();
|
||||
console.log(`Found ${questions.length} potential questions`);
|
||||
console.log(`📝 Found ${questions.length} questions`);
|
||||
|
||||
if (questions.length === 0) {
|
||||
console.log('No questions found. Page might still be loading or uses unsupported format.');
|
||||
console.log('⚠️ No questions detected. Ensure quiz is loaded and try again.');
|
||||
isProcessing = false;
|
||||
return;
|
||||
}
|
||||
|
||||
const questionsToProcess = questions.slice(0, 10);
|
||||
|
||||
for (const question of questionsToProcess) {
|
||||
if (processedQuestions.has(question.text)) {
|
||||
continue;
|
||||
}
|
||||
for (const question of questions.slice(0, 10)) {
|
||||
if (processedQuestions.has(question.text)) continue;
|
||||
|
||||
processedQuestions.add(question.text);
|
||||
|
||||
const fullQuestionText = getFullQuestionContext(question.element);
|
||||
const { answers: answerChoices, inputType } = findAnswerChoices(question.element);
|
||||
|
||||
if (answerChoices.length === 0) {
|
||||
console.log('No answer choices found for question');
|
||||
console.log('⚠️ No answer choices found, skipping question');
|
||||
continue;
|
||||
}
|
||||
|
||||
const expectedCount = getExpectedAnswerCount(question.text, inputType);
|
||||
const expectedCount = getExpectedAnswerCount(fullQuestionText, inputType);
|
||||
|
||||
console.log(`\n📝 Question: ${question.text.substring(0, 100)}...`);
|
||||
console.log(` Input type: ${inputType || 'unknown'}`);
|
||||
console.log(` Expected answers: ${expectedCount === -1 ? 'multiple (unknown count)' : expectedCount}`);
|
||||
console.log(` Answer choices (${answerChoices.length}):`);
|
||||
answerChoices.forEach((c, i) => {
|
||||
console.log(` ${String.fromCharCode(65 + i)}. ${c.text.substring(0, 50)}`);
|
||||
});
|
||||
console.log(`\n${'='.repeat(80)}`);
|
||||
console.log(`📝 QUESTION: ${question.text.substring(0, 150)}...`);
|
||||
console.log(` Type: ${inputType || 'unknown'} | Expected: ${expectedCount === -1 ? 'multiple' : expectedCount}`);
|
||||
console.log(` Choices: ${answerChoices.length}`);
|
||||
|
||||
const correctIndices = await getAnswerFromOpenAI(question.text, answerChoices, inputType, expectedCount);
|
||||
const correctIndices = await getAnswerWithRetry(fullQuestionText, answerChoices, inputType, expectedCount);
|
||||
|
||||
if (correctIndices && correctIndices.length > 0) {
|
||||
console.log(`✅ ChatGPT identified ${correctIndices.length} correct answer(s):`);
|
||||
console.log(`✅ AI Answer: ${correctIndices.map(i => String.fromCharCode(65 + i)).join(', ')}`);
|
||||
|
||||
let highlightedCount = 0;
|
||||
correctIndices.forEach(index => {
|
||||
if (index >= 0 && index < answerChoices.length) {
|
||||
const choice = answerChoices[index];
|
||||
console.log(` ✓ ${String.fromCharCode(65 + index)}. ${choice.text}`);
|
||||
console.log(` Element type: ${choice.element.tagName}, class: ${choice.element.className}`);
|
||||
|
||||
try {
|
||||
highlightAnswer(choice.element, true);
|
||||
highlightedCount++;
|
||||
console.log(` ✓ Successfully highlighted`);
|
||||
highlightAnswer(answerChoices[index].element, true);
|
||||
console.log(` ✓ Highlighted: ${answerChoices[index].text.substring(0, 60)}`);
|
||||
} catch (e) {
|
||||
console.error(` ❌ Failed to highlight:`, e);
|
||||
console.error(` ❌ Highlight failed:`, e);
|
||||
}
|
||||
} else {
|
||||
console.error(` ❌ Invalid index ${index} (max: ${answerChoices.length - 1})`);
|
||||
}
|
||||
});
|
||||
|
||||
if (highlightedCount === 0) {
|
||||
console.error('⚠️ WARNING: ChatGPT provided answers but NONE were highlighted!');
|
||||
console.log('⚠️ Falling back to RED highlighting (user must guess)');
|
||||
answerChoices.forEach((choice, index) => {
|
||||
console.log(` ⚠️ ${String.fromCharCode(65 + index)}. ${choice.text} (HIGHLIGHT FAILED)`);
|
||||
try {
|
||||
highlightAnswer(choice.element, false);
|
||||
} catch (e) {
|
||||
console.error(` ❌ Failed to highlight in red:`, e);
|
||||
}
|
||||
});
|
||||
} else if (highlightedCount < correctIndices.length) {
|
||||
console.warn(`⚠️ WARNING: Only ${highlightedCount} of ${correctIndices.length} answers were highlighted`);
|
||||
}
|
||||
|
||||
} else {
|
||||
console.log('❌ ChatGPT failed to provide an answer - highlighting all choices in RED');
|
||||
console.log('⚠️ USER MUST GUESS - ChatGPT could not determine the correct answer');
|
||||
// Highlight all answers in red to indicate user needs to make a guess
|
||||
answerChoices.forEach((choice, index) => {
|
||||
console.log(` ⚠️ ${String.fromCharCode(65 + index)}. ${choice.text} (UNKNOWN)`);
|
||||
console.log('❌ AI could not determine answer - marking all RED');
|
||||
answerChoices.forEach(choice => {
|
||||
try {
|
||||
highlightAnswer(choice.element, false);
|
||||
} catch (e) {
|
||||
console.error(` ❌ Failed to highlight:`, e);
|
||||
}
|
||||
} catch (e) {}
|
||||
});
|
||||
}
|
||||
|
||||
await new Promise(resolve => setTimeout(resolve, 2000));
|
||||
await new Promise(resolve => setTimeout(resolve, 3000));
|
||||
}
|
||||
|
||||
console.log('\n✅ Scan complete');
|
||||
console.log('\n✅ Scan complete!');
|
||||
} catch (error) {
|
||||
console.error('Error in scanAndHighlight:', error);
|
||||
console.error('❌ Scan error:', error);
|
||||
} finally {
|
||||
isProcessing = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Watch for dynamic content changes
|
||||
// Mutation observer for dynamic content
|
||||
let mutationTimeout;
|
||||
const observer = new MutationObserver((mutations) => {
|
||||
if (!extensionEnabled || isProcessing) return;
|
||||
@@ -621,7 +741,7 @@ const observer = new MutationObserver((mutations) => {
|
||||
if (hasNewContent) {
|
||||
clearTimeout(mutationTimeout);
|
||||
mutationTimeout = setTimeout(() => {
|
||||
console.log('Content changed, rescanning...');
|
||||
console.log('🔄 New content detected, rescanning...');
|
||||
scanAndHighlight();
|
||||
}, 2000);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user