103 lines
3.3 KiB
PHP
103 lines
3.3 KiB
PHP
<?php
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/*
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* description：
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* author：wh
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* email：
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* createTime：{2024/11/27} {10:11}
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*/
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namespace app\api\controller;
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use app\common\model\TabConf;
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use think\Db;
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use wanghua\general_utility_tools_php\http\Curl;
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use wanghua\general_utility_tools_php\Mmodel;
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use wanghua\general_utility_tools_php\tool\Tools;
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class Drugsimagesmedicaltasknotify extends BaseHttpApi
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{
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/**
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* desc：药品，CT，病例上传AI分析任务回调地址
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*
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* 回调地址会在请求ai接口时传递：
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*（参考）：
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* 线上域名：https://ybx_prediagnosis.excn.top
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* /api/Drugsimagesmedicaltasknotify/notify
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*
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* method: post
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*
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* 数据结构建议:
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* {
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* "code":200,//500(失败、异常、错误)，可以是其它有意义的值
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* "msg":'提示信息',//eg：处理成功、请求失败，处理中等
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* "data":[],//该值可以是任意数据，eg：数组、字符串等
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* }
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*
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* author：wh
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*/
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function notify(){
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return Mmodel::catchJson(function (){
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Tools::log_to_write_txt(['药品，CT，病例上传AI分析任务回调，入参'=>input()]);
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$this->notify_test();
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});
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}
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private function notify_test(){
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$jsondecode = input();
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$task_id = $jsondecode['task_id'];
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$result = $jsondecode['result'];
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if(empty($task_id)){
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return Tools::set_fail('参数错误.0',['error_msg'=>'错误信息：task_id错误']);
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}
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//$log_file_name = 'drugs_images_medical';
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//$header = [
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// //'Accept: application/json',
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// "Content-Type: application/json"
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//];
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//$url = "https://image_fastapi.excn.vip/imgs-task/{$task_id}";
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//Tools::log_to_write_txt(['异步查询图片处理结果，请求地址'=>$url,'task_id'=>$task_id],$log_file_name);
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//$process_images_res = Curl::curl_request($url,'GET',[],$header);
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//Tools::log_to_write_txt(['异步查询图片处理结果，返回结果'=>$process_images_res],$log_file_name);
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//if(isset($process_images_res['status']) && $process_images_res['status'] == 'error'){
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// return Tools::set_fail($process_images_res['message']);
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//}
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if(isset($result['detail']) && $result['detail'] == '未知的任务 ID'){
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return Tools::set_fail($result['detail']);
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}
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if(isset($result['status']) && $result['status'] == 'pending'){
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return Tools::set_fail('处理中请等待');
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}
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//if(!isset($result['result']) || $result['result'] == ''){
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// return Tools::set_fail('未查询到结果');
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//}
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//保存处理结果
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Db::table(TabConf::$fa_drugs_images_medical_task)
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->data([
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'result'=>json_encode($jsondecode),
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])
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->where('task_id',$task_id)
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->update();
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//遍历二维数组，将每张图片的分析同步到
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foreach ($result as $item){
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Db::table(TabConf::$fa_drugs_images_medical_result)
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->where('imageid',$item['id'])
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->data([
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'ai_result'=>$item['result'],
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'type'=>$item['type'],
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])
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->update();
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}
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return Tools::set_ok('ok',$result);
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}
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} |