mirror of
https://github.com/kuaifan/dootask.git
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690 lines
25 KiB
PHP
690 lines
25 KiB
PHP
<?php
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namespace App\Module;
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use App\Models\Report;
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use App\Models\Setting;
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use Cache;
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use Carbon\Carbon;
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/**
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* AI 助手模块
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*/
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class AI
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{
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protected $post = [];
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protected $headers = [];
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protected $urlPath = '';
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protected $timeout = 30;
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/**
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* 构造函数
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* @param array $post
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* @param array $headers
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*/
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public function __construct($post = [], $headers = [])
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{
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$this->post = $post ?? [];
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$this->headers = $headers ?? [];
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}
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/**
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* 设置请求参数
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* @param array $post
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*/
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public function setPost($post)
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{
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$this->post = array_merge($this->post, $post);
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}
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/**
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* 设置请求头
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* @param array $headers
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*/
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public function setHeaders($headers)
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{
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$this->headers = array_merge($this->headers, $headers);
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}
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/**
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* 设置请求路径
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* @param string $urlPath
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*/
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public function setUrlPath($urlPath)
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{
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$this->urlPath = $urlPath;
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}
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/**
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* 设置请求超时时间
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* @param int $timeout
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*/
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public function setTimeout($timeout)
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{
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$this->timeout = $timeout;
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}
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/**
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* 请求 AI 接口
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* @param bool $resRaw 是否返回原始数据
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* @return array
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*/
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public function request($resRaw = false)
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{
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$aiSetting = Base::setting('aiSetting');
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if (!Setting::AIOpen()) {
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return Base::retError("AI 助手未开启");
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}
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$headers = [
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'Content-Type' => 'application/json',
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'Authorization' => 'Bearer ' . $aiSetting['ai_api_key'],
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];
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if ($aiSetting['ai_proxy']) {
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$headers['CURLOPT_PROXY'] = $aiSetting['ai_proxy'];
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$headers['CURLOPT_PROXYTYPE'] = str_contains($aiSetting['ai_proxy'], 'socks') ? CURLPROXY_SOCKS5 : CURLPROXY_HTTP;
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}
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$headers = array_merge($headers, $this->headers);
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$url = $aiSetting['ai_api_url'] ?: 'https://api.openai.com/v1';
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$url = $url . ($this->urlPath ?: '/chat/completions');
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$result = Ihttp::ihttp_request($url, $this->post, $headers, $this->timeout);
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if (Base::isError($result)) {
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return Base::retError("AI 接口请求失败", $result);
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}
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$result = $result['data'];
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if (!$resRaw) {
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$resData = Base::json2array($result);
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if (empty($resData['choices'])) {
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return Base::retError("AI 接口返回数据格式错误", $resData);
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}
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$result = $resData['choices'][0]['message']['content'];
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$result = trim($result);
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if (empty($result)) {
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return Base::retError("AI 接口返回数据为空");
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}
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}
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return Base::retSuccess("success", $result);
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}
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/** ******************************************************************************************** */
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/** ******************************************************************************************** */
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/** ******************************************************************************************** */
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/**
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* 通过 openAI 语音转文字
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* @param string $filePath 语音文件路径
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* @param array $extParams 扩展参数
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* @param bool $noCache 是否禁用缓存
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* @return array
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*/
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public static function transcriptions($filePath, $extParams = [], $noCache = false)
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{
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if (!file_exists($filePath)) {
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return Base::retError("语音文件不存在");
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}
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$systemSetting = Base::setting('system');
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if ($systemSetting['voice2text'] !== 'open') {
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return Base::retError("语音转文字功能未开启");
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}
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$cacheKey = "openAItranscriptions::" . md5($filePath . '_' . Base::array2json($extParams));
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if ($noCache) {
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Cache::forget($cacheKey);
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}
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$result = Cache::remember($cacheKey, Carbon::now()->addDays(), function () use ($extParams, $filePath) {
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$post = array_merge($extParams, [
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'file' => new \CURLFile($filePath),
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'model' => 'whisper-1',
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]);
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$header = [
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'Content-Type' => 'multipart/form-data',
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];
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$ai = new self($post, $header);
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$ai->setUrlPath('/audio/transcriptions');
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$ai->setTimeout(15);
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$res = $ai->request(true);
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if (Base::isError($res)) {
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return Base::retError("语音转文字失败", $res);
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}
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$resData = Base::json2array($res['data']);
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if (empty($resData['text'])) {
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return Base::retError("语音转文字失败", $resData);
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}
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return Base::retSuccess("success", [
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'file' => $filePath,
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'text' => $resData['text'],
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]);
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});
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if (Base::isError($result)) {
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Cache::forget($cacheKey);
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}
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return $result;
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}
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/**
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* 通过 openAI 翻译
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* @param string $text 需要翻译的文本内容
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* @param string $targetLanguage 目标语言（如：English, 简体中文, 日本語等）
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* @param bool $noCache 是否禁用缓存
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* @return array
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*/
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public static function translations($text, $targetLanguage, $noCache = false)
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{
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$systemSetting = Base::setting('system');
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if ($systemSetting['translation'] !== 'open') {
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return Base::retError("翻译功能未开启");
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}
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$cacheKey = "openAItranslations::" . md5($text . '_' . $targetLanguage);
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if ($noCache) {
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Cache::forget($cacheKey);
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}
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$result = Cache::remember($cacheKey, Carbon::now()->addDays(7), function () use ($text, $targetLanguage) {
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$post = json_encode([
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"model" => "gpt-5-mini",
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"reasoning_effort" => "minimal",
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"messages" => [
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[
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"role" => "system",
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"content" => <<<EOF
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你是一名资深的专业翻译专家，专门从事项目任务管理系统的多语言本地化工作。
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翻译任务：将提供的文本内容翻译为 {$targetLanguage}
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专业要求：
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1. 术语一致性：确保项目管理、任务管理、团队协作等专业术语的准确翻译
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2. 上下文理解：根据项目管理场景选择最合适的表达方式
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3. 格式保持：严格保持原文的格式、结构、标点符号和排版
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4. 语言规范：使用目标语言的标准表达，符合该语言的语法和习惯
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5. 专业性：体现项目管理领域的专业水准和准确性
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6. 简洁性：避免冗余表达，保持语言简洁明了
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注意事项：
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- 保留所有HTML标签、特殊符号、数字、日期格式
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- 对于专有名词（如软件名称、品牌名）保持原文
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- 确保翻译后的文本自然流畅，符合目标语言的表达习惯
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- 如遇到歧义表达，优先选择项目管理场景下的含义
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请直接返回翻译结果，不要包含任何解释或标记。
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EOF
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],
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[
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"role" => "user",
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"content" => "请将以下内容翻译为 {$targetLanguage}：\n\n{$text}"
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]
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],
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]);
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$ai = new self($post);
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$ai->setTimeout(60);
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$res = $ai->request();
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if (Base::isError($res)) {
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return Base::retError("翻译请求失败", $res);
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}
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$result = $res['data'];
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if (empty($result)) {
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return Base::retError("翻译结果为空");
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}
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return Base::retSuccess("success", [
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'translated_text' => $result,
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'target_language' => $targetLanguage,
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'translated_at' => date('Y-m-d H:i:s')
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]);
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});
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if (Base::isError($result)) {
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Cache::forget($cacheKey);
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}
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return $result;
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}
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/**
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* 通过 openAI 生成标题
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* @param string $text 需要生成标题的文本内容
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* @param bool $noCache 是否禁用缓存
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* @return array
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*/
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public static function generateTitle($text, $noCache = false)
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{
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$cacheKey = "openAIGenerateTitle::" . md5($text);
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if ($noCache) {
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Cache::forget($cacheKey);
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}
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$result = Cache::remember($cacheKey, Carbon::now()->addHours(24), function () use ($text) {
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$post = json_encode([
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"model" => "gpt-5-mini",
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"reasoning_effort" => "minimal",
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"messages" => [
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[
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"role" => "system",
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"content" => <<<EOF
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你是一个专业的标题生成器，专门为项目任务管理系统的对话内容生成精准、简洁的标题。
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要求：
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1. 标题要准确概括文本的核心内容和主要意图
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2. 标题长度控制在5-20个字符之间
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3. 语言简洁明了，避免冗余词汇
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4. 适合在项目管理场景中使用
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5. 不要包含引号或特殊符号
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6. 如果是技术讨论，突出技术要点
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7. 如果是项目管理内容，突出关键动作或目标
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8. 如果是需求讨论，突出需求的核心点
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请直接返回标题，不要包含任何解释或其他内容。
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EOF
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],
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[
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"role" => "user",
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"content" => "请为以下内容生成一个合适的标题：\n\n" . $text
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]
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],
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]);
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$ai = new self($post);
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$ai->setTimeout(10);
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$res = $ai->request();
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if (Base::isError($res)) {
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return Base::retError("标题生成失败", $res);
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}
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$result = $res['data'];
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if (empty($result)) {
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return Base::retError("生成的标题为空");
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}
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return Base::retSuccess("success", [
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'title' => $result,
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'length' => mb_strlen($result),
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'generated_at' => date('Y-m-d H:i:s')
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]);
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});
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if (Base::isError($result)) {
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Cache::forget($cacheKey);
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}
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return $result;
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}
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/**
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* 对工作汇报内容进行分析
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* @param Report $report
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* @param array $context
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* @return array
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*/
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public static function analyzeReport(Report $report, array $context = [])
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{
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$prompt = self::buildReportAnalysisPrompt($report, $context);
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if ($prompt === '') {
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return Base::retError("报告内容为空，无法进行分析");
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}
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$post = json_encode([
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"model" => "gpt-5-mini",
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"reasoning_effort" => "minimal",
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"messages" => [
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[
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"role" => "system",
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"content" => <<<EOF
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你是一名经验丰富的团队管理顾问，擅长阅读和分析员工提交的工作汇报，能够快速提炼重点并给出可执行建议。
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输出要求：
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1. 使用简洁的 Markdown 结构（标题、无序列表、引用等），不要使用代码块或 JSON
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2. 先给出整体概览，再列出具体亮点、风险或问题，以及明确的改进建议
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3. 如有数据或目标，应评估其完成情况和后续跟进要点
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4. 语气保持专业、客观，中立，不过度夸赞或批评
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5. 控制在 200-400 字之间，必要时可略微增减，但保持紧凑
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EOF
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],
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[
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"role" => "user",
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"content" => $prompt,
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],
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],
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]);
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$ai = new self($post);
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$ai->setTimeout(60);
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$res = $ai->request();
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if (Base::isError($res)) {
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return Base::retError("工作汇报分析失败", $res);
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}
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$content = trim($res['data']);
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$content = preg_replace('/^\s*```(?:markdown|md|text)?\s*/i', '', $content);
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$content = preg_replace('/\s*```\s*$/', '', $content);
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$content = trim($content);
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if ($content === '') {
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return Base::retError("工作汇报分析结果为空");
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}
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return Base::retSuccess("success", [
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'text' => $content,
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]);
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}
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/**
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* 整理优化工作汇报内容
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* @param string $markdown 用户当前的工作汇报（Markdown）
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* @param array $context 上下文信息
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* @return array
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*/
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public static function organizeReportContent(string $markdown, array $context = [])
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{
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$markdown = trim((string)$markdown);
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if ($markdown === '') {
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return Base::retError("工作汇报内容不能为空");
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}
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$prompt = self::buildReportOrganizePrompt($markdown, $context);
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if ($prompt === '') {
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return Base::retError("整理内容为空");
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}
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$post = json_encode([
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"model" => "gpt-5-mini",
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"reasoning_effort" => "minimal",
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"messages" => [
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[
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"role" => "system",
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"content" => <<<EOF
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你是一名资深的职场写作顾问，擅长根据已有的工作汇报草稿进行整理、结构化和措辞优化。
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工作任务：
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1. 保留草稿中的事实、数据和结论，确保信息准确无误
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2. 重新组织结构，让内容清晰分段（如「重点进展」「成果亮点」「问题与风险」「后续计划」等），并按照草稿中的时间范围或类型进行表达
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3. 用简洁、专业且积极的语气描述，并突出可复用的要点
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4. 支持使用 Markdown 标题、列表、引用、表格等语法增强可读性，但不要返回 HTML 或代码块
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5. 若草稿信息不完整，可合理推测缺失项并以占位符提示（如「待补充」），不要臆造细节
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输出要求：
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- 仅返回整理后的 Markdown 正文内容，并用于直接替换原草稿
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- 不得输出任何汇报名称、汇报对象、汇报类型或其他元信息，即便草稿或上下文中存在这些字段
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- 不加额外说明、指引、总结或前缀后缀
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- 内容保持精炼、结构清晰
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EOF
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],
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[
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"role" => "user",
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"content" => $prompt,
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],
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],
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]);
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$ai = new self($post);
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$ai->setTimeout(60);
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$res = $ai->request();
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if (Base::isError($res)) {
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return Base::retError("汇报整理失败", $res);
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}
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$content = trim($res['data']);
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$content = preg_replace('/^\s*```(?:markdown|md|text)?\s*/i', '', $content);
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$content = preg_replace('/\s*```\s*$/', '', $content);
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$content = trim($content);
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if ($content === '') {
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return Base::retError("汇报整理结果为空");
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}
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return Base::retSuccess("success", [
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'text' => $content,
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]);
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}
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/**
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* 通过 openAI 生成职场笑话、心灵鸡汤
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* @param bool $noCache 是否禁用缓存
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* @return array 返回20个笑话和20个心灵鸡汤
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*/
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public static function generateJokeAndSoup($noCache = false)
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{
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$cacheKey = "openAIJokeAndSoup::" . md5(date('Y-m-d'));
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if ($noCache) {
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Cache::forget($cacheKey);
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}
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$result = Cache::remember($cacheKey, Carbon::now()->addHours(6), function () {
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$post = json_encode([
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"model" => "gpt-5-mini",
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"reasoning_effort" => "minimal",
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"messages" => [
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[
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"role" => "system",
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"content" => <<<EOF
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你是一个专业的内容生成器。
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要求：
|
||
1. 笑话要幽默风趣，适合职场环境，内容积极正面
|
||
2. 心灵鸡汤要励志温暖，适合职场人士阅读
|
||
3. 每个笑话和鸡汤都要简洁明了，尽量不超过100字
|
||
4. 必须严格按照以下JSON格式返回，不要markdown格式，不要包含任何其他内容：
|
||
|
||
{
|
||
"jokes": [
|
||
"笑话内容1",
|
||
"笑话内容2",
|
||
...
|
||
],
|
||
"soups": [
|
||
"心灵鸡汤内容1",
|
||
"心灵鸡汤内容2",
|
||
...
|
||
]
|
||
}
|
||
EOF
|
||
],
|
||
[
|
||
"role" => "user",
|
||
"content" => "请生成20个职场笑话和20个心灵鸡汤"
|
||
]
|
||
],
|
||
]);
|
||
|
||
$ai = new self($post);
|
||
$ai->setTimeout(120);
|
||
|
||
$res = $ai->request();
|
||
if (Base::isError($res)) {
|
||
return Base::retError("生成失败", $res);
|
||
}
|
||
|
||
// 清理可能的markdown代码块标记
|
||
$content = $res['data'];
|
||
$content = preg_replace('/^\s*```json\s*/', '', $content);
|
||
$content = preg_replace('/\s*```\s*$/', '', $content);
|
||
if (empty($content)) {
|
||
return Base::retError("翻译结果为空");
|
||
}
|
||
|
||
// 解析JSON
|
||
$parsedData = Base::json2array($content);
|
||
if (!$parsedData || !isset($parsedData['jokes']) || !isset($parsedData['soups'])) {
|
||
return Base::retError("生成内容格式错误", $content);
|
||
}
|
||
|
||
// 验证数据完整性
|
||
if (!is_array($parsedData['jokes']) || !is_array($parsedData['soups'])) {
|
||
return Base::retError("生成内容格式错误", $parsedData);
|
||
}
|
||
|
||
// 过滤空内容并确保有内容
|
||
$jokes = array_filter(array_map('trim', $parsedData['jokes']));
|
||
$soups = array_filter(array_map('trim', $parsedData['soups']));
|
||
|
||
if (empty($jokes) || empty($soups)) {
|
||
return Base::retError("生成内容为空", $parsedData);
|
||
}
|
||
|
||
return Base::retSuccess("success", [
|
||
'jokes' => array_values($jokes),
|
||
'soups' => array_values($soups),
|
||
'total_jokes' => count($jokes),
|
||
'total_soups' => count($soups),
|
||
'generated_at' => date('Y-m-d H:i:s')
|
||
]);
|
||
});
|
||
|
||
if (Base::isError($result)) {
|
||
Cache::forget($cacheKey);
|
||
}
|
||
return $result;
|
||
}
|
||
|
||
/**
|
||
* 构建工作汇报分析的提示词
|
||
* @param Report $report
|
||
* @param array $context
|
||
* @return string
|
||
*/
|
||
private static function buildReportAnalysisPrompt(Report $report, array $context = []): string
|
||
{
|
||
$sections = [];
|
||
|
||
$metaLines = [];
|
||
$metaLines[] = "标题：" . ($report->title ?: "（未填写）");
|
||
$metaLines[] = "类型：" . match ($report->type) {
|
||
Report::WEEKLY => "周报",
|
||
Report::DAILY => "日报",
|
||
default => $report->type,
|
||
};
|
||
if ($report->created_at) {
|
||
$createdAt = $report->created_at instanceof Carbon
|
||
? $report->created_at->toDateTimeString()
|
||
: (string)$report->created_at;
|
||
$metaLines[] = "提交时间：" . $createdAt;
|
||
}
|
||
if (!empty($context['viewer_role'])) {
|
||
$metaLines[] = "查看人角色：" . trim($context['viewer_role']);
|
||
}
|
||
if (!empty($context['viewer_name'])) {
|
||
$metaLines[] = "查看人：" . trim($context['viewer_name']);
|
||
}
|
||
if (!empty($metaLines)) {
|
||
$sections[] = "### 基础信息\n" . implode("\n", array_map(function ($line) {
|
||
return "- " . $line;
|
||
}, $metaLines));
|
||
}
|
||
|
||
if (!empty($context['focus']) && is_array($context['focus'])) {
|
||
$focusItems = array_filter(array_map('trim', $context['focus']));
|
||
if (!empty($focusItems)) {
|
||
$sections[] = "### 关注重点\n" . implode("\n", array_map(function ($line) {
|
||
return "- " . $line;
|
||
}, $focusItems));
|
||
}
|
||
} elseif (!empty($context['focus_note'])) {
|
||
$sections[] = "### 关注重点\n- " . trim($context['focus_note']);
|
||
}
|
||
|
||
if (!empty($context['previous_feedback'])) {
|
||
$sections[] = "### 历史反馈\n" . trim($context['previous_feedback']);
|
||
}
|
||
|
||
$contentMarkdown = trim(Base::html2markdown($report->content));
|
||
if ($contentMarkdown !== '') {
|
||
$sections[] = "### 汇报正文\n" . $contentMarkdown;
|
||
}
|
||
|
||
return trim(implode("\n\n", array_filter($sections)));
|
||
}
|
||
|
||
/**
|
||
* 构建工作汇报整理的提示词
|
||
* @param string $markdown
|
||
* @param array $context
|
||
* @return string
|
||
*/
|
||
private static function buildReportOrganizePrompt(string $markdown, array $context = []): string
|
||
{
|
||
$sections = [];
|
||
|
||
$infoLines = [];
|
||
if (!empty($context['title'])) {
|
||
$infoLines[] = "汇报标题：" . trim($context['title']);
|
||
}
|
||
if (!empty($context['type'])) {
|
||
$typeLabel = match ($context['type']) {
|
||
Report::WEEKLY => "周报",
|
||
Report::DAILY => "日报",
|
||
default => $context['type'],
|
||
};
|
||
$infoLines[] = "汇报类型：" . $typeLabel;
|
||
}
|
||
if (!empty($context['focus']) && is_array($context['focus'])) {
|
||
$focusItems = array_filter(array_map('trim', $context['focus']));
|
||
if (!empty($focusItems)) {
|
||
$sections[] = "### 需要重点整理的方向\n" . implode("\n", array_map(function ($line) {
|
||
return "- " . $line;
|
||
}, $focusItems));
|
||
}
|
||
}
|
||
|
||
if (!empty($infoLines)) {
|
||
$sections[] = "### 汇报背景（仅供参考，请勿写入输出）\n" . implode("\n", array_map(function ($line) {
|
||
return "- " . $line;
|
||
}, $infoLines));
|
||
}
|
||
|
||
$sections[] = "### 原始汇报草稿（请整理后仅输出正文内容）\n" . $markdown;
|
||
|
||
return trim(implode("\n\n", array_filter($sections)));
|
||
}
|
||
|
||
/**
|
||
* 获取 ollama 模型
|
||
* @param $baseUrl
|
||
* @param $key
|
||
* @param $agency
|
||
* @return array
|
||
*/
|
||
public static function ollamaModels($baseUrl, $key = null, $agency = null)
|
||
{
|
||
$extra = [
|
||
'Content-Type' => 'application/json',
|
||
];
|
||
if ($key) {
|
||
$extra['Authorization'] = 'Bearer ' . $key;
|
||
}
|
||
if ($agency) {
|
||
$extra['CURLOPT_PROXY'] = $agency;
|
||
$extra['CURLOPT_PROXYTYPE'] = str_contains($agency, 'socks') ? CURLPROXY_SOCKS5 : CURLPROXY_HTTP;
|
||
}
|
||
$res = Ihttp::ihttp_request(rtrim($baseUrl, '/') . '/api/tags', [], $extra, 15);
|
||
if (Base::isError($res)) {
|
||
return Base::retError("获取失败", $res);
|
||
}
|
||
$resData = Base::json2array($res['data']);
|
||
if (empty($resData['models'])) {
|
||
return Base::retError("获取失败", $resData);
|
||
}
|
||
$models = [];
|
||
foreach ($resData['models'] as $model) {
|
||
if ($model['name'] !== $model['model']) {
|
||
$models[] = "{$model['model']} | {$model['name']}";
|
||
} else {
|
||
$models[] = $model['model'];
|
||
}
|
||
}
|
||
return Base::retSuccess("success", [
|
||
'models' => $models,
|
||
'original' => $resData['models']
|
||
]);
|
||
}
|
||
}
|