api/services/nginx/app/routes/moduleScannerRoute.php

<?php

namespace routes;

use classes\authentication;
use classes\image_processor;
use classes\licenseplaterecognizer;
use classes\openai;
use classes\response;
use classes\router;
use classes\upload_store;
use Exception;
use objects\logs_o;
use traits\route_t;

class moduleScannerRoute
{
    use route_t;

    public function run(): void
    {
        global /** @var response $response */
        $router, $response;
        /** Modules > Scanner > test > GET */
        $this->get('/modules/scanner/test', function () {
            global $response;
            $base64_image = '';
            // CREATE FILE READY TO UPLOAD WITH CURL
            $file = realpath('example.jpg');
            if (function_exists('curl_file_create')) { // php 5.5+
                $cFile = curl_file_create($file);
            } else {
                $cFile = '@' . realpath($file);
            }

            //ADD PARAMETER IN REQUEST LIKE regions
            $data = array(
                'upload' => $cFile,
                'regions' => 'us-ca' // Optional
            );

            // Prepare new cURL resource
            $ch = curl_init('https://api.platerecognizer.com/v1/plate-reader/');
            curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
            curl_setopt($ch, CURLINFO_HEADER_OUT, true);
            curl_setopt($ch, CURLOPT_POST, true);
            curl_setopt($ch, CURLOPT_POSTFIELDS, $data);
            curl_setopt($ch, CURLOPT_HTTP_VERSION, CURL_HTTP_VERSION_2TLS);

            // Set HTTP Header for POST request
            curl_setopt($ch, CURLOPT_HTTPHEADER, array(
                    "Authorization: Token d7fff863b815cde9fe3f83d687290399ef4854f4", // TODO: Move to settings or environment variable.
                )
            );

            // Submit the POST request and close cURL session handle
            $result = curl_exec($ch);
            print_r($result);exit;
            curl_close($ch);
            $response->success('Scanner module test executed successfully.');
        },
            [
                'modules_scanner_test' => 'Test the scanner module',
            ]
        );
        /** Modules > Scanner > License Plate Recognition > POST */
        $this->post('/modules/scanner/lpr', function () {
            global $response;
            self::requireParameters(['base64_image']);
            $base64_image = self::getParameter('base64_image');
            //self::requirePermission('modules_scanner_lpr');
            if (empty($base64_image)) {
                $response->error('Base64 image is required.');}
            $uploads = new upload_store();
            $object_name = $uploads->storeTempImageFromBase64(
                $base64_image
            );
            //echo $object_name;
            //echo "License Plate Recognition result:\n";
            // Uncomment the line below to use the actual license plate recognizer.
            $lpr_result = (new licenseplaterecognizer())->licenseplaterecognizer($base64_image);
            if ($lpr_result['success']) {
                // Set the LICENSE_PLATE_NUMBER to uppercase and remove spaces.
                $lpr_result['license_plate_number'] = strtoupper(str_replace(' ', '', $lpr_result['license_plate_number']));
                // If the confidence is below 90%, consider it a failure.
                if (isset($lpr_result['confidence']) && $lpr_result['confidence'] < 0.9) {
                    throw new Exception('License plate recognition confidence too low. Score: ' . $lpr_result['confidence'] . ' Plate: ' . $lpr_result['license_plate_number'] . ' Raw: ' . json_encode($lpr_result['raw_response']));
                }
                // Success
                $response->success(['success' => true, 'license_plate_number' => $lpr_result['license_plate_number']]);
            } else {
                throw new Exception('License plate extraction failed.');
                //$response->error($lpr_result['message'] ?? 'License plate recognition failed.', $lpr_result);
            }
            exit;
            // For debugging purposes, we will simulate recognized license plates.
            $openai = new openai();
            $registration_numbers_debug = [
                'EC21233',
                'EC21234',
                'EC21235',
            ];
            $random_index = rand(0, count($registration_numbers_debug) - 1);
            $object_name = $registration_numbers_debug[$random_index];
            // Attempt to recognize the license plate number from the image.

            //Debug: TODO: Remove this.
            $response->success(['success' => true, 'license_plate_number' => $object_name]);
            $response->success($openai->lpr($object_name));
        },
            [
                'modules_scanner_lpr' => 'License Plate Recognition',
            ]
        );
    }
}