Auto-deploy: 2026-05-17 01:38:08
This commit is contained in:
@@ -17,59 +17,66 @@ chrome.runtime.onMessage.addListener((message, sender, sendResponse) => {
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// ─── Core API call ───────────────────────────────────────────────────────────
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async function handleGeminiRequest({ apiKey, prompt, tab }) {
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async function handleGeminiRequest({ apiKey, prompt, tab, action = 'generateText', jobDescription = '' }) {
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// Rate limit check
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const canProceed = await checkRateLimit();
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if (!canProceed) {
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throw new Error('Daily limit reached (1,000 requests). Resets at midnight PT.');
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}
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// Check cache (keyed by tab + prompt hash — different jobs produce different hashes)
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const cacheKey = `cache_${tab}_${hashString(prompt)}`;
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// Check cache (keyed by tab + prompt hash)
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const cacheStr = prompt || jobDescription;
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const cacheKey = `cache_${tab}_${action}_${hashString(cacheStr)}`;
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const cached = await getCached(cacheKey);
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if (cached) {
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return { text: cached, fromCache: true };
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return cached; // returns either text object or pdf object
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}
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// Truncate prompt if too long (free tier has strict TPM limits)
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const maxPromptChars = 6000;
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const trimmedPrompt = prompt.length > maxPromptChars
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? prompt.substring(0, maxPromptChars) + '\n\n[Description truncated for length]'
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// Truncate text
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const maxChars = 6000;
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const trimmedPrompt = prompt && prompt.length > maxChars
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? prompt.substring(0, maxChars) + '\n\n[Truncated]'
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: prompt;
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// Retry logic (up to 3 attempts with LONG backoff for free tier)
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const MAX_RETRIES = 3;
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const RETRY_DELAYS = [2000, 20000, 30000]; // 2s, 20s, 30s
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const RETRY_DELAYS = [2000, 20000, 30000];
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let lastError = '';
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for (let attempt = 0; attempt < MAX_RETRIES; attempt++) {
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await delay(RETRY_DELAYS[attempt]);
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try {
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const response = await fetch(`${GEMINI_URL}?key=${apiKey}`, {
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const response = await fetch('https://cv.intaleqapp.com/cv/server/generate_cv.php', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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contents: [{ parts: [{ text: trimmedPrompt }] }],
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generationConfig: {
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temperature: 0.7,
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maxOutputTokens: 2048,
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topP: 0.9
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}
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action: action,
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apiKey: apiKey,
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prompt: trimmedPrompt,
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jobDescription: jobDescription
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})
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});
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if (response.ok) {
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const data = await response.json();
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if (action === 'generatePdf') {
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if (!data.pdf) throw new Error('Empty PDF response from server.');
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await incrementUsage();
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const result = { pdf: data.pdf, filename: data.filename, fromCache: false };
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await setCached(cacheKey, result);
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return result;
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} else {
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const text = data.candidates?.[0]?.content?.parts?.[0]?.text;
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if (!text) {
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lastError = 'Empty response from Gemini.';
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lastError = 'Empty response from API.';
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continue;
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}
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await incrementUsage();
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await setCached(cacheKey, text);
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return { text, fromCache: false };
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const result = { text, fromCache: false };
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await setCached(cacheKey, result);
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return result;
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}
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}
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const status = response.status;
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69
content.js
69
content.js
@@ -339,9 +339,10 @@
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</div>
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<!-- Actions -->
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<div id="lja-actions">
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<button id="lja-analyze-btn">⚡ Analyze This Job</button>
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<button id="lja-copy-btn" style="display:none">📋 Copy</button>
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<div id="lja-actions" style="display: flex; gap: 8px;">
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<button id="lja-pdf-btn" style="background: #1a237e; border: 1px solid #3949ab; color: white; padding: 10px; border-radius: 6px; font-weight: 600; cursor: pointer; flex: 1; transition: 0.2s;">📥 Get ATS PDF</button>
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<button id="lja-analyze-btn" style="flex: 1.5;">⚡ Analyze Job</button>
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<button id="lja-copy-btn" style="display:none; flex: 0.5;">📋 Copy</button>
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</div>
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<!-- Loading -->
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@@ -474,6 +475,68 @@
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await runAnalysis(settings, jobData, currentTab, results, root, loading, loadingText, copyBtn);
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});
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// ── Generate PDF Action
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const pdfBtn = root.querySelector('#lja-pdf-btn');
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if (pdfBtn) {
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pdfBtn.addEventListener('click', async () => {
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if (!jobData.description && !jobData.jobTitle) {
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showPanelToast(root, '⚠️ No job detected.');
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return;
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}
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const settings = await getSettings();
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if (!settings.apiKey) {
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showPanelToast(root, '⚠️ Set your API key first!');
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return;
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}
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try {
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pdfBtn.textContent = '⏳ Generating...';
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pdfBtn.disabled = true;
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showPanelToast(root, 'Generating ATS CV PDF via Server...', 'info');
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const response = await new Promise(resolve => {
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chrome.runtime.sendMessage({
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type: 'GEMINI_REQUEST',
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payload: {
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apiKey: settings.apiKey,
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jobDescription: jobData.description,
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action: 'generatePdf'
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}
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}, resolve);
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});
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if (response && response.success && response.data && response.data.pdf) {
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// Convert base64 to Blob and trigger download
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const binaryString = window.atob(response.data.pdf);
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const bytes = new Uint8Array(binaryString.length);
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for (let i = 0; i < binaryString.length; i++) {
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bytes[i] = binaryString.charCodeAt(i);
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}
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const blob = new Blob([bytes], { type: 'application/pdf' });
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const url = window.URL.createObjectURL(blob);
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const a = document.createElement('a');
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a.style.display = 'none';
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a.href = url;
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a.download = response.data.filename || 'Hamza_Ayed_CV.pdf';
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document.body.appendChild(a);
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a.click();
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window.URL.revokeObjectURL(url);
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showPanelToast(root, '✅ PDF Downloaded Successfully!', 'success');
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} else {
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throw new Error(response?.error || 'Failed to generate PDF from server');
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}
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} catch (e) {
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showPanelToast(root, '❌ PDF Error: ' + e.message, 'error');
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} finally {
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pdfBtn.textContent = '📥 Get ATS PDF';
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pdfBtn.disabled = false;
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}
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});
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}
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// ── Copy button
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copyBtn.addEventListener('click', () => {
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if (results[currentTab]) {
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@@ -1,9 +1,8 @@
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<?php
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// ============================================================================
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// Dynamic ATS-Optimized CV Generator (Backend)
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// Dynamic ATS-Optimized CV Generator & AI Proxy (Backend)
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// ============================================================================
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// Allow CORS from browser extension
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header('Access-Control-Allow-Origin: *');
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header('Access-Control-Allow-Methods: POST, OPTIONS');
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header('Access-Control-Allow-Headers: Content-Type');
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@@ -13,11 +12,10 @@ if ($_SERVER['REQUEST_METHOD'] === 'OPTIONS') {
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exit;
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}
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// Ensure composer dependencies are installed
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$autoloadPath = __DIR__ . '/vendor/autoload.php';
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if (!file_exists($autoloadPath)) {
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http_response_code(500);
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echo json_encode(["error" => "Vendor folder not found. Please run 'composer install' in the server directory."]);
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echo json_encode(["error" => "Vendor folder not found. Please run 'composer install'."]);
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exit;
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}
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@@ -25,23 +23,27 @@ require_once $autoloadPath;
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use Dompdf\Dompdf;
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use Dompdf\Options;
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// 1. Get POST Data
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$rawData = file_get_contents('php://input');
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$data = json_decode($rawData, true);
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$jobDescription = $data['jobDescription'] ?? '';
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$action = $data['action'] ?? 'generateText';
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$apiKey = $data['apiKey'] ?? '';
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if (empty($jobDescription) || empty($apiKey)) {
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if (empty($apiKey)) {
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http_response_code(400);
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echo json_encode(["error" => "Missing jobDescription or apiKey in POST payload."]);
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echo json_encode(["error" => "Missing apiKey"]);
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exit;
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}
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// 2. Build Gemini API Request
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$model = "gemini-2.5-flash";
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$geminiUrl = "https://generativelanguage.googleapis.com/v1beta/models/{$model}:generateContent?key=" . $apiKey;
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// ==========================================
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// ACTION 1: Generate ATS PDF CV
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// ==========================================
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if ($action === 'generatePdf') {
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$jobDescription = $data['jobDescription'] ?? '';
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$prompt = "You are an expert ATS CV tailor. Read the following job description and generate tailored content for my CV to maximize my chances of getting an interview.
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Return ONLY a valid JSON object with EXACTLY three keys: 'headline', 'summary', and 'skills'.
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The 'headline' should be a 5-6 word professional title relevant to the job.
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@@ -53,16 +55,10 @@ Job Description:
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" . substr($jobDescription, 0, 4000);
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$payload = json_encode([
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"contents" => [
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["parts" => [["text" => $prompt]]]
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],
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"generationConfig" => [
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"temperature" => 0.2, // Low temperature for consistent JSON
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"responseMimeType" => "application/json" // Force JSON output
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]
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"contents" => [["parts" => [["text" => $prompt]]]],
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"generationConfig" => ["temperature" => 0.2, "responseMimeType" => "application/json"]
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]);
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// 3. Call Google Gemini via cURL
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$ch = curl_init($geminiUrl);
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curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
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curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
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@@ -74,61 +70,74 @@ curl_close($ch);
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if ($httpCode !== 200) {
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http_response_code(500);
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echo json_encode(["error" => "Gemini API Error", "statusCode" => $httpCode, "details" => json_decode($response)]);
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echo json_encode(["error" => "Gemini API Error", "details" => json_decode($response)]);
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exit;
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}
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// 4. Parse Gemini Response
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$responseData = json_decode($response, true);
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$aiText = $responseData['candidates'][0]['content']['parts'][0]['text'] ?? '{}';
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// Clean markdown if Gemini still wrapped it in ```json ... ```
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$aiText = str_replace(['```json', '```'], '', $aiText);
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$aiText = trim($aiText);
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$parsedJson = json_decode($aiText, true);
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$parsedJson = json_decode(trim($aiText), true);
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$headline = $parsedJson['headline'] ?? "Solutions Architect & Technical Leader";
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$summary = $parsedJson['summary'] ?? "Experienced professional with a strong background in software engineering and system architecture.";
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$summary = $parsedJson['summary'] ?? "Experienced professional with a strong background in software engineering.";
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$skills = $parsedJson['skills'] ?? "Architecture, APIs, Cloud, Backend Systems, System Design";
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// 5. Load HTML Template and Inject Data
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// Note: Put cv_template.html in the same directory as this script on your server
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$templatePath = __DIR__ . '/cv_template.html';
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if (!file_exists($templatePath)) {
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http_response_code(500);
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echo json_encode(["error" => "cv_template.html not found on server."]);
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exit;
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}
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$html = file_get_contents($templatePath);
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$html = str_replace('{{JOB_HEADLINE}}', htmlspecialchars($headline), $html);
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$html = str_replace('{{TAILORED_SUMMARY}}', htmlspecialchars($summary), $html);
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$html = str_replace('{{DYNAMIC_SKILLS}}', htmlspecialchars($skills), $html);
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// 6. Generate PDF via Dompdf
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try {
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$options = new Options();
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$options->set('isHtml5ParserEnabled', true);
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$options->set('defaultFont', 'Helvetica');
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$options->set('isRemoteEnabled', true);
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$dompdf = new Dompdf($options);
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$dompdf->loadHtml($html);
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$dompdf->setPaper('A4', 'portrait');
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$dompdf->render();
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// 7. Return PDF as Base64 encoded string to the frontend
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$pdfOutput = $dompdf->output();
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$base64Pdf = base64_encode($pdfOutput);
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echo json_encode([
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"success" => true,
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"pdf" => $base64Pdf,
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"filename" => "Hamza_Ayed_Tailored_CV.pdf"
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"pdf" => base64_encode($pdfOutput),
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"filename" => "Tailored_CV.pdf"
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]);
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} catch (Exception $e) {
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http_response_code(500);
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echo json_encode(["error" => "PDF Generation Failed", "details" => $e->getMessage()]);
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}
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exit;
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}
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// ==========================================
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// ACTION 2: Standard Proxy (Text generation)
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// ==========================================
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if ($action === 'generateText') {
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$prompt = $data['prompt'] ?? '';
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$payload = json_encode([
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"contents" => [["parts" => [["text" => $prompt]]]],
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"generationConfig" => ["temperature" => 0.7, "maxOutputTokens" => 2048]
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]);
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$ch = curl_init($geminiUrl);
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curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
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curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
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curl_setopt($ch, CURLOPT_POST, true);
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curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);
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$response = curl_exec($ch);
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$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
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curl_close($ch);
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if ($httpCode !== 200) {
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http_response_code($httpCode);
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echo $response;
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exit;
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}
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// Pass the exact Gemini response back to the extension
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echo $response;
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exit;
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}
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