164 lines
6.0 KiB
PHP
164 lines
6.0 KiB
PHP
<?php
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// ============================================================================
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// Dynamic ATS-Optimized CV Generator & AI Proxy (Backend)
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// ============================================================================
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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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if ($_SERVER['REQUEST_METHOD'] === 'OPTIONS') {
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http_response_code(200);
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exit;
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}
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$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'."]);
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exit;
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}
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require_once $autoloadPath;
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use Dompdf\Dompdf;
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use Dompdf\Options;
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use Dotenv\Dotenv;
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// Path to the .env file located outside the document root for security
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// Assuming script is in /home/user/htdocs/domain.com/cv/server/
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// and .env is in /home/user/
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$envPath = realpath(__DIR__ . '/../../../..');
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if ($envPath && file_exists($envPath . '/.env')) {
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$dotenv = Dotenv::createImmutable($envPath);
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$dotenv->load();
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}
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$rawData = file_get_contents('php://input');
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$data = json_decode($rawData, true);
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$action = $data['action'] ?? 'generateText';
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// Prioritize API key from .env over frontend payload
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$apiKey = $_ENV['GEMINI_API_KEY'] ?? getenv('GEMINI_API_KEY') ?: ($data['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 apiKey. Please set GEMINI_API_KEY in .env or pass it in request."]);
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exit;
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}
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// $model = "gemini-flash-lite-latest";
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$model = "gemini-flash-latest";
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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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The 'summary' should be a 3-sentence powerful paragraph highlighting skills relevant to the job.
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The 'skills' should be a comma-separated list of 10 highly relevant ATS keywords.
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Do NOT use markdown blocks like ```json, just return raw JSON text.
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Job Description:
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" . substr($jobDescription, 0, 4000);
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$payload = json_encode([
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"contents" => [["parts" => [["text" => $prompt]]]],
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"generationConfig" => ["temperature" => 0.2, "responseMimeType" => "application/json"]
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]);
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$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 ($httpCode !== 200) {
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http_response_code(500);
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echo json_encode(["error" => "Gemini API Error", "details" => json_decode($response)]);
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exit;
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}
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$responseData = json_decode($response, true);
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$aiText = $responseData['candidates'][0]['content']['parts'][0]['text'] ?? '{}';
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$aiText = str_replace(['```json', '```'], '', $aiText);
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$parsedJson = json_decode(trim($aiText), true);
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$headline = $parsedJson['headline'] ?? "Solutions Architect & Technical Leader";
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$summary = $parsedJson['summary'] ?? "Experienced professional with a strong background in software engineering.";
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$skills = $parsedJson['skills'] ?? "Architecture, APIs, Cloud, Backend Systems, System Design";
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$templatePath = __DIR__ . '/cv_template.html';
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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), $html);
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try {
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$options = new Options();
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$options->set('isHtml5ParserEnabled', true);
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$options->set('defaultFont', 'Helvetica');
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$dompdf = new Dompdf($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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$pdfOutput = $dompdf->output();
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$rawJobTitle = $data['jobTitle'] ?? 'Job';
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$safeJobTitle = preg_replace('/[^a-zA-Z0-9\-_]/', '_', $rawJobTitle);
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$safeJobTitle = trim($safeJobTitle, '_');
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$fileName = "Hamza_Ayed - {$safeJobTitle}.pdf";
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echo json_encode([
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"success" => true,
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"pdf" => base64_encode($pdfOutput),
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"filename" => $fileName
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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" => $prompt]]]],
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"generationConfig" => ["temperature" => 0.7, "maxOutputTokens" => 8192]
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]);
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$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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