255 lines
9.9 KiB
PHP
255 lines
9.9 KiB
PHP
<?php
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// results.php
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require_once __DIR__ . '/ai/LocalAIApi.php';
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$conversation_json = $_POST['conversation'] ?? '';
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$conversation = json_decode($conversation_json, true);
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$ai_response_text = '';
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$chart_data_json = '';
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$error_message = '';
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if ($conversation) {
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$prompt = "Analyze the following conversation for signs of burnout. The user was asked 10 questions related to burnout. Based on their answers, provide a thoughtful analysis and actionable recommendations. Return a JSON object with two keys: 'analysis_html' and 'chart_data'.\n\n1. `analysis_html`: An HTML string containing a detailed analysis, identifying key themes (e.g., exhaustion, cynicism, inefficacy), a summary of the user's burnout level, and 3-5 actionable recommendations. Use headings, lists, and bold text for readability. Do not include `<html>` or `<body>` tags.\n2. `chart_data`: A JSON object with two keys: `labels` (an array of strings for the chart categories, e.g., ['Exhaustion', 'Cynicism', 'Inefficacy']) and `scores` (an array of integers from 0 to 10 representing the user's score in each category).\n\nHere is the conversation:
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";
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foreach ($conversation as $item) {
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$prompt .= "Q: " . $item['question'] . "\nA: " . $item['answer'] . "\n\n";
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}
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$resp = LocalAIApi::createResponse(
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[
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'input' => [
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['role' => 'system', 'content' => 'You are a helpful assistant specializing in mental health and burnout analysis. You always respond with a valid JSON object.'],
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['role' => 'user', 'content' => $prompt],
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],
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]
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);
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if (!empty($resp['success'])) {
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$ai_response_raw = LocalAIApi::extractText($resp);
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$ai_response_data = json_decode($ai_response_raw, true);
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if ($ai_response_data && isset($ai_response_data['analysis_html']) && isset($ai_response_data['chart_data'])) {
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$ai_response_text = $ai_response_data['analysis_html'];
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$chart_data_json = json_encode($ai_response_data['chart_data']);
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} else {
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$error_message = 'AI response was not in the expected format. Please try again.';
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// For debugging: $error_message .= "<br>Raw response: " . htmlspecialchars($ai_response_raw);
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}
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} else {
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$error_message = 'Failed to get response from AI. Error: ' . ($resp['error'] ?? 'Unknown error');
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}
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} else {
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$error_message = 'No conversation data received.';
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}
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?><!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Your Burnout Analysis Results</title>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600&display=swap" rel="stylesheet">
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<link rel="stylesheet" href="assets/css/custom.css?v=<?php echo time(); ?>">
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<style>
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.results-container {
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width: 100%;
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max-width: 768px;
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background-color: #FFFFFF;
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border-radius: 0.75rem;
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box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);
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padding: 2rem;
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text-align: left;
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}
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.loader {
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border: 4px solid #f3f4f6;
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border-radius: 50%;
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border-top: 4px solid #4F46E5;
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width: 40px;
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height: 40px;
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animation: spin 1s linear infinite;
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margin: 2rem auto;
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}
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@keyframes spin {
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0% { transform: rotate(0deg); }
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100% { transform: rotate(360deg); }
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}
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.ai-content h2 {
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font-size: 1.5rem;
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color: #4F46E5;
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margin-top: 1.5rem;
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margin-bottom: 1rem;
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}
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.ai-content ul {
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list-style-position: inside;
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padding-left: 0;
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}
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.ai-content li {
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margin-bottom: 0.75rem;
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line-height: 1.6;
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}
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#burnoutChart {
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margin-top: 2rem;
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margin-bottom: 2rem;
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}
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</style>
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</head>
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<body>
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<div class="chat-container">
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<header class="chat-header">
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<h1>Your Burnout Analysis</h1>
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</header>
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<main class="message-list" id="results-main">
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<div class="results-container">
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<?php if ($error_message): ?>
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<p style="color: red;"><?php echo htmlspecialchars($error_message); ?></p>
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<?php elseif ($ai_response_text): ?>
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<canvas id="burnoutChart"></canvas>
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<div class="ai-content">
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<?php echo $ai_response_text; ?>
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</div>
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<?php else: ?>
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<p>Analyzing your responses...</p>
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<div class="loader"></div>
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<?php endif; ?>
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</div>
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</main>
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<?php if (!$error_message && $ai_response_text): ?>
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<footer id="input-area" class="input-area">
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<input type="text" id="user-input" placeholder="Ask a follow-up question..." autocomplete="off">
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<button id="send-button">Send</button>
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</footer>
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<?php endif; ?>
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</div>
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<?php if ($chart_data_json): ?>
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<script>
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document.addEventListener('DOMContentLoaded', () => {
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const chartData = <?php echo $chart_data_json; ?>;
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const ctx = document.getElementById('burnoutChart').getContext('2d');
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new Chart(ctx, {
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type: 'radar',
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data: {
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labels: chartData.labels,
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datasets: [{
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label: 'Burnout Score',
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data: chartData.scores,
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backgroundColor: 'rgba(79, 70, 229, 0.2)',
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borderColor: '#4F46E5',
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pointBackgroundColor: '#4F46E5',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: '#4F46E5'
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}]
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},
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options: {
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responsive: true,
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maintainAspectRatio: true,
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scales: {
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r: {
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angleLines: {
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color: '#E5E7EB'
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},
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grid: {
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color: '#E5E7EB'
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},
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pointLabels: {
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font: {
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size: 14,
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family: 'Inter'
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},
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color: '#111827'
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},
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ticks: {
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backdropColor: '#f3f4f6',
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color: '#6B7280',
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stepSize: 2,
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beginAtZero: true,
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max: 10
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}
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}
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},
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plugins: {
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legend: {
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display: false
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}
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}
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}
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});
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});
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</script>
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<?php endif; ?>
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<?php if (!$error_message && $ai_response_text): ?>
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<script>
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document.addEventListener('DOMContentLoaded', () => {
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const sendButton = document.getElementById('send-button');
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const userInput = document.getElementById('user-input');
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const mainContainer = document.getElementById('results-main');
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const originalConversation = <?php echo json_encode($conversation); ?>;
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const originalAnalysis = <?php echo json_encode($ai_response_text); ?>;
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function addMessageToUI(text, sender) {
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const messageElement = document.createElement('div');
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messageElement.classList.add('message', sender);
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const avatar = document.createElement('div');
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avatar.classList.add('avatar');
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avatar.textContent = sender === 'bot' ? 'AI' : 'You';
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const messageContent = document.createElement('div');
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messageContent.classList.add('message-content');
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messageContent.innerHTML = text; // Use innerHTML to render formatted AI responses
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if (sender === 'bot') {
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messageElement.appendChild(avatar);
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}
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messageElement.appendChild(messageContent);
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mainContainer.appendChild(messageElement);
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mainContainer.scrollTop = mainContainer.scrollHeight;
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}
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async function handleFollowUp() {
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const userText = userInput.value.trim();
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if (userText === '') return;
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addMessageToUI(userText, 'user');
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userInput.value = '';
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sendButton.disabled = true;
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const response = await fetch('followup.php', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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conversation: originalConversation,
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analysis: originalAnalysis,
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follow_up_question: userText
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})
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});
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const aiResponseText = await response.text();
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addMessageToUI(aiResponseText, 'bot');
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sendButton.disabled = false;
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userInput.focus();
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}
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sendButton.addEventListener('click', handleFollowUp);
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userInput.addEventListener('keydown', (e) => {
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if (e.key === 'Enter') {
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handleFollowUp();
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}
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});
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});
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</script>
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<?php endif; ?>
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</body>
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</html>
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