Initial commit: LinkedIn Analyzer with Gemini 2.5 Flash and PHP Backend

2026-05-17 01:28:17 +03:00
commit 8445affc78
18 changed files with 3323 additions and 0 deletions
--- a/server/generate_cv.php
+++ b/server/generate_cv.php
@@ -0,0 +1,134 @@
+<?php
+// ============================================================================
+// Dynamic ATS-Optimized CV Generator (Backend)
+// ============================================================================
+
+// Allow CORS from browser extension
+header('Access-Control-Allow-Origin: *');
+header('Access-Control-Allow-Methods: POST, OPTIONS');
+header('Access-Control-Allow-Headers: Content-Type');
+
+if ($_SERVER['REQUEST_METHOD'] === 'OPTIONS') {
+    http_response_code(200);
+    exit;
+}
+
+// Ensure composer dependencies are installed
+$autoloadPath = __DIR__ . '/vendor/autoload.php';
+if (!file_exists($autoloadPath)) {
+    http_response_code(500);
+    echo json_encode(["error" => "Vendor folder not found. Please run 'composer install' in the server directory."]);
+    exit;
+}
+
+require_once $autoloadPath;
+use Dompdf\Dompdf;
+use Dompdf\Options;
+
+// 1. Get POST Data
+$rawData = file_get_contents('php://input');
+$data = json_decode($rawData, true);
+
+$jobDescription = $data['jobDescription'] ?? '';
+$apiKey = $data['apiKey'] ?? '';
+
+if (empty($jobDescription) || empty($apiKey)) {
+    http_response_code(400);
+    echo json_encode(["error" => "Missing jobDescription or apiKey in POST payload."]);
+    exit;
+}
+
+// 2. Build Gemini API Request
+$model = "gemini-2.5-flash";
+$geminiUrl = "https://generativelanguage.googleapis.com/v1beta/models/{$model}:generateContent?key=" . $apiKey;
+
+$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.
+Return ONLY a valid JSON object with EXACTLY three keys: 'headline', 'summary', and 'skills'.
+The 'headline' should be a 5-6 word professional title relevant to the job.
+The 'summary' should be a 3-sentence powerful paragraph highlighting skills relevant to the job.
+The 'skills' should be a comma-separated list of 10 highly relevant ATS keywords.
+Do NOT use markdown blocks like ```json, just return raw JSON text.
+
+Job Description:
+" . substr($jobDescription, 0, 4000);
+
+$payload = json_encode([
+    "contents" => [
+        ["parts" => [["text" => $prompt]]]
+    ],
+    "generationConfig" => [
+        "temperature" => 0.2, // Low temperature for consistent JSON
+        "responseMimeType" => "application/json" // Force JSON output
+    ]
+]);
+
+// 3. Call Google Gemini via cURL
+$ch = curl_init($geminiUrl);
+curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
+curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
+curl_setopt($ch, CURLOPT_POST, true);
+curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);
+$response = curl_exec($ch);
+$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
+curl_close($ch);
+
+if ($httpCode !== 200) {
+    http_response_code(500);
+    echo json_encode(["error" => "Gemini API Error", "statusCode" => $httpCode, "details" => json_decode($response)]);
+    exit;
+}
+
+// 4. Parse Gemini Response
+$responseData = json_decode($response, true);
+$aiText = $responseData['candidates'][0]['content']['parts'][0]['text'] ?? '{}';
+
+// Clean markdown if Gemini still wrapped it in ```json ... ```
+$aiText = str_replace(['```json', '```'], '', $aiText);
+$aiText = trim($aiText);
+
+$parsedJson = json_decode($aiText, true);
+
+$headline = $parsedJson['headline'] ?? "Solutions Architect & Technical Leader";
+$summary = $parsedJson['summary'] ?? "Experienced professional with a strong background in software engineering and system architecture.";
+$skills = $parsedJson['skills'] ?? "Architecture, APIs, Cloud, Backend Systems, System Design";
+
+// 5. Load HTML Template and Inject Data
+// Note: Put cv_template.html in the same directory as this script on your server
+$templatePath = __DIR__ . '/cv_template.html';
+if (!file_exists($templatePath)) {
+    http_response_code(500);
+    echo json_encode(["error" => "cv_template.html not found on server."]);
+    exit;
+}
+
+$html = file_get_contents($templatePath);
+$html = str_replace('{{JOB_HEADLINE}}', htmlspecialchars($headline), $html);
+$html = str_replace('{{TAILORED_SUMMARY}}', htmlspecialchars($summary), $html);
+$html = str_replace('{{DYNAMIC_SKILLS}}', htmlspecialchars($skills), $html);
+
+// 6. Generate PDF via Dompdf
+try {
+    $options = new Options();
+    $options->set('isHtml5ParserEnabled', true);
+    $options->set('defaultFont', 'Helvetica');
+    $options->set('isRemoteEnabled', true);
+
+    $dompdf = new Dompdf($options);
+    $dompdf->loadHtml($html);
+    $dompdf->setPaper('A4', 'portrait');
+    $dompdf->render();
+
+    // 7. Return PDF as Base64 encoded string to the frontend
+    $pdfOutput = $dompdf->output();
+    $base64Pdf = base64_encode($pdfOutput);
+
+    echo json_encode([
+        "success" => true,
+        "pdf" => $base64Pdf,
+        "filename" => "Hamza_Ayed_Tailored_CV.pdf"
+    ]);
+
+} catch (Exception $e) {
+    http_response_code(500);
+    echo json_encode(["error" => "PDF Generation Failed", "details" => $e->getMessage()]);
+}