81 lines
3.5 KiB
PHP
81 lines
3.5 KiB
PHP
<?php
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header('Content-Type: application/json');
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require_once __DIR__ . '/../ai/LocalAIApi.php';
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if ($_SERVER['REQUEST_METHOD'] !== 'POST') {
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echo json_encode(['success' => false, 'error' => 'Method not allowed']);
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exit;
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}
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if (!isset($_FILES['image']) || $_FILES['image']['error'] !== UPLOAD_ERR_OK) {
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echo json_encode(['success' => false, 'error' => 'No image uploaded or upload error']);
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exit;
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}
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$imagePath = $_FILES['image']['tmp_name'];
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$imageSize = filesize($imagePath);
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$imageData = base64_encode(file_get_contents($imagePath));
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$imageType = $_FILES['image']['type'];
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . " Processing image: type=$imageType, size=$imageSize bytes" . PHP_EOL, FILE_APPEND);
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . " Data URL prefix: " . substr("data:$imageType;base64,$imageData", 0, 50) . "..." . PHP_EOL, FILE_APPEND);
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$prompt = "Analyze this image. If it's a photo of a dish, identify what it is and create a possible recipe for it. If it's a photo of a written recipe, extract the information from it.
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Provide the information in JSON format IN ENGLISH:
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- name: Dish/recipe name
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- category: One of the following values: 'Drinks', 'Breakfast', 'Dinner', 'Appetizers'
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- ingredients: Array of objects, each containing:
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- name: Ingredient name
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- quantity: Numeric quantity (float)
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- unit: Unit of measurement (e.g., 'g', 'kg', 'ml', 'l', 'pcs', 'pack')
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- guests: Default number of guests/portions (integer)
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Important:
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1. Quantities should be specified per 1 person if possible. If you are creating a recipe for a dish, default to 1 or 2 guests.
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2. Return ONLY the JSON object.
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3. If something cannot be determined, make the most accurate assumption or specify null.";
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try {
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$response = LocalAIApi::createResponse([
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'model' => 'gpt-4o',
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'input' => [
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[
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'role' => 'user',
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'content' => [
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[
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'type' => 'text',
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'text' => $prompt
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],
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[
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'type' => 'image_url',
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'image_url' => [
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'url' => "data:$imageType;base64,$imageData",
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'detail' => 'auto'
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]
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]
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]
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]
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]
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]);
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if (!$response['success']) {
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . ' AI Scan Error: ' . ($response['error'] ?? 'AI request failed') . PHP_EOL, FILE_APPEND);
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throw new Exception($response['error'] ?? 'AI request failed');
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}
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . ' AI Full Response: ' . json_encode($response) . PHP_EOL, FILE_APPEND);
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$text = LocalAIApi::extractText($response);
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . ' AI Scan Raw Text: ' . $text . PHP_EOL, FILE_APPEND);
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$recipeData = LocalAIApi::decodeJsonFromResponse($response);
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if (!$recipeData) {
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file_put_contents(__DIR__ . '/scan_debug.log', date('Y-m-d H:i:s') . ' AI Scan JSON Parse Error. Raw: ' . $text . PHP_EOL, FILE_APPEND);
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throw new Exception('Failed to parse AI response as JSON. Please try again with a clearer image.');
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}
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echo json_encode(['success' => true, 'data' => $recipeData]);
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} catch (Exception $e) {
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echo json_encode(['success' => false, 'error' => $e->getMessage()]);
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}
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