1535 lines
73 KiB
PHP
1535 lines
73 KiB
PHP
<?php
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namespace app\controller\api;
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use app\BaseController;
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use app\controller\api\Test as TestController;
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use app\model\AiProvider as AiProviderModel;
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use app\model\SystemConfig as SystemConfigModel;
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use app\model\PricingConfig as PricingConfigModel;
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use app\model\UserProfile as UserProfileModel;
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use app\common\service\JwtService;
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use think\facade\Db;
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use think\facade\Log;
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use think\facade\Request;
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/**
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* 面相分析 API：使用超管配置的第一个启用的 AI 服务商进行分析
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* POST api/analyze body: { "photoUrls": ["url1","url2","url3"] }
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* 若请求带 token，分析成功后顺带写入 test_results，无需前端再调 /api/test/submit
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*/
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class Analyze extends BaseController
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{
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/**
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* 面相分析：取超管第一个启用的 AI 服务商，传入照片 URL 进行分析
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*/
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public function index()
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{
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$input = Request::post();
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$photoUrls = $input['photoUrls'] ?? [];
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if (!is_array($photoUrls)) {
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$photoUrls = [];
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}
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$photoUrls = array_slice(array_filter($photoUrls), 0, 3);
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// 企业分享链接会传 enterpriseId；个人分享不传，稍后从 wechat_users 回落
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$enterpriseId = isset($input['enterpriseId']) ? (int) $input['enterpriseId'] : null;
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if ($enterpriseId !== null && $enterpriseId <= 0) {
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$enterpriseId = null;
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}
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// 标记来源：后续只有"请求体明确传入"时才更新 wechat_users.enterpriseId
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$enterpriseFromRequest = $enterpriseId !== null;
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// 提前解析 token，以便用 wechat_users.enterpriseId 回落（face 由本接口直接写入 test_results）
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$earlyUserId = 0;
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$earlyToken = JwtService::getTokenFromRequest($this->request);
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if ($earlyToken) {
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$earlyPayload = JwtService::verifyToken($earlyToken);
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if ($earlyPayload && ($earlyPayload['source'] ?? '') === 'wechat') {
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$earlyUserId = (int) ($earlyPayload['user_id'] ?? $earlyPayload['userId'] ?? 0);
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}
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}
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// 三个变量各司其职（同 Test::submit 逻辑）：
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// $enterpriseId —— 仅企业测试（请求体传入）才非 null，决定走 admin_enterprise 定价
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// $pricingEnterpriseId —— 个人测试时从 wechat_users 取，走 admin_personal + eid 定价
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// $writeEnterpriseId —— 写入 test_results.enterpriseId（企业测试 or 绑定企业都记录）
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$pricingEnterpriseId = $enterpriseId;
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$writeEnterpriseId = $enterpriseId;
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if ($enterpriseId === null && $earlyUserId > 0) {
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$boundEid = Db::name('wechat_users')->where('id', $earlyUserId)->value('enterpriseId');
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if (!empty($boundEid)) {
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$pricingEnterpriseId = (int) $boundEid; // admin_personal + eid
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$writeEnterpriseId = (int) $boundEid; // 历史记录展示企业名
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}
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}
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if (empty($photoUrls)) {
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return error('请上传至少一张人脸照片', 400);
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}
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$provider = AiProviderModel::where('enabled', 1)
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->whereRaw('(visible IS NULL OR visible = 1)')
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->whereRaw('(apiKey IS NOT NULL AND LENGTH(TRIM(apiKey)) > 0)')
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->order('id', 'asc')
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->find();
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if (!$provider) {
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return error('暂无可用的 AI 服务，请联系管理员配置', 503);
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}
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$apiKey = $provider->getRawApiKey();
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if (empty($apiKey)) {
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return error('AI 服务未配置有效密钥', 503);
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}
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// 前置人脸检测：将全部上传图片一次性发给 AI 判断，不通过则立即返回，不进行完整分析
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if (!$this->quickFaceCheck($photoUrls, $provider, $apiKey)) {
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return error('图片中未检测到人脸，请重新拍摄清晰的正面照片', 422);
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}
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// 企业版：拉取用户已完成的 MBTI/PDP/DISC 测试数据 + 简历（默认或最新），拼入 prompt 供 AI 交叉验证
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$existingTestContext = '';
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$resumeImageUrl = '';
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if ($enterpriseId !== null && $earlyUserId > 0) {
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try {
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$latestTests = TestController::getLatestResultsForResume($earlyUserId, $enterpriseId);
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$resumeText = '';
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$resumeFileUrl = '';
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// 从 enterprise_resume_uploads 读取简历：优先默认，无则最新
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$resumeQuery = Db::name('enterprise_resume_uploads')->where('userId', $earlyUserId)->where('enterpriseId', $enterpriseId);
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$defaultUpload = (clone $resumeQuery)->where('is_default', 1)->order('createdAt', 'desc')->find();
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$resumeUpload = $defaultUpload ?: $resumeQuery->order('createdAt', 'desc')->find();
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if ($resumeUpload && !empty($resumeUpload['fileUrl'])) {
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$resumeFileUrl = $resumeUpload['fileUrl'];
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// PDF/docx 提取文本入 prompt；图片需作为 image_url 传入才能被 AI 读取；doc 仅提供文件名
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$resumeText = $this->extractResumeFileText($resumeFileUrl);
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$ext = strtolower(pathinfo(parse_url($resumeFileUrl, PHP_URL_PATH) ?? '', PATHINFO_EXTENSION));
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if (in_array($ext, ['jpg', 'jpeg', 'png', 'gif', 'webp'], true)) {
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$resumeImageUrl = $resumeFileUrl;
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}
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}
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$ctx = $this->buildResumeContext($latestTests, $resumeText, $resumeFileUrl);
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if ($ctx !== '') {
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$existingTestContext = $ctx;
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}
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} catch (\Throwable $e) {
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// 拉取失败不阻塞分析
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}
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}
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try {
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$result = $this->callAiAnalyze($provider, $apiKey, $photoUrls, $enterpriseId, $existingTestContext, $resumeImageUrl);
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} catch (\Throwable $e) {
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Log::warning('faceAnalyze: AI 调用失败 ' . $e->getMessage());
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return error('AI 分析失败：' . $e->getMessage(), 500);
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}
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// 完整分析中 AI 再次确认无人脸（双重保障）
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if (!empty($result['_noFace'])) {
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return error('图片中未检测到人脸，请重新拍摄清晰的正面照片', 422);
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}
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// 将用户上传的图片 URL 一并写入结果，方便 mbti_test_results 保留原始图片记录
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$storePayload = $result;
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if (is_array($storePayload)) {
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// 若模型结果中尚未包含 photoUrls，则追加一份
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if (!isset($storePayload['photoUrls'])) {
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$storePayload['photoUrls'] = $photoUrls;
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}
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}
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// 当前标准定价（分）与是否需要付费
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// $enterpriseId=非null 时走企业版定价；=null 时走个人版定价（含绑定企业的 admin_personal）
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$standardAmountFen = $this->getStandardAmountByTestType('face', $enterpriseId, $pricingEnterpriseId);
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$requiresPayment = $standardAmountFen > 0 ? 1 : 0;
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// 有 token 时顺带写入测试记录，避免小程序多请求一次 /api/test/submit
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$testResultId = null;
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$token = JwtService::getTokenFromRequest($this->request);
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if ($token) {
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$payload = JwtService::verifyToken($token);
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if ($payload && ($payload['source'] ?? '') === 'wechat') {
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$userId = (int) ($payload['user_id'] ?? $payload['userId'] ?? 0);
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if ($userId > 0) {
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try {
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$now = time();
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$testResultId = Db::name('test_results')->insertGetId([
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'userId' => $userId,
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'enterpriseId' => $writeEnterpriseId,
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'testScope' => $enterpriseFromRequest ? 'enterprise' : 'personal',
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'testType' => 'face',
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'resultData' => is_string($storePayload) ? $storePayload : json_encode($storePayload, JSON_UNESCAPED_UNICODE),
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'score' => null,
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'orderId' => null,
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'requiresPayment' => $requiresPayment,
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'isPaid' => 0,
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'paidAmount' => $standardAmountFen > 0 ? $standardAmountFen : null,
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'paidAt' => null,
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'createdAt' => $now,
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'updatedAt' => $now,
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]);
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if ($testResultId) {
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UserProfileModel::recordTest($userId, 'face', $testResultId, $writeEnterpriseId, $now);
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// 仅当 enterpriseId 来自请求体（企业分享链接）时才更新绑定关系
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if ($enterpriseFromRequest && $enterpriseId !== null && $enterpriseId > 0) {
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Db::name('wechat_users')->where('id', $userId)->update([
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'enterpriseId' => $enterpriseId,
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'updatedAt' => $now,
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]);
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}
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// 面相分析由本接口直接写入 test_results，也要补触发测试完成佣金
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try {
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\app\controller\api\Distribution::settleTestCommission($testResultId, $userId, 'face');
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} catch (\Throwable $e) {
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// 分销失败不影响主流程
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}
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}
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} catch (\Throwable $e) {
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// 写入失败不影响返回分析结果
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}
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}
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}
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}
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// 构造返回给前端的 payload（不影响入库的原始结果）
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$responsePayload = is_array($storePayload) ? $storePayload : [];
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// 前端可直接使用的付费信息（避免二次请求 runtime）
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$responsePayload['_payment'] = [
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'requiresPayment' => $requiresPayment,
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'amountFen' => $standardAmountFen,
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'amountYuan' => $standardAmountFen > 0 ? round($standardAmountFen / 100, 2) : 0,
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];
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// 若该类型需付费才显示完整报告：返回给前端的也做脱敏，与详情/历史一致（只显示部分，付费后从详情接口拿完整）
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if ($requiresPayment) {
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$responsePayload['faceAnalysis'] = null;
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$responsePayload['boneAnalysis'] = null;
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}
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// 把本次测试记录ID一起返回，便于解锁后通过 /api/test/detail 拉取完整数据
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if ($testResultId) {
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$responsePayload['_testResultId'] = $testResultId;
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}
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return success($responsePayload);
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}
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/**
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* 简历综合分析：基于当前用户人脸、MBTI、PDP、DISC 四种测试的最近一次结果，拼接后调用 AI 生成综合分析（纯文本）
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* POST api/analyze/resume 需登录（wechat）
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*/
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public function resumeAnalysis()
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{
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$user = $this->request->user ?? null;
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if (!$user || ($user['source'] ?? '') !== 'wechat') {
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return error('请先登录', 401);
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}
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$userId = (int) ($user['user_id'] ?? $user['userId'] ?? 0);
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if ($userId <= 0) {
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return error('请先登录', 401);
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}
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$input = Request::post();
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$resumeText = trim((string) ($input['resumeText'] ?? $input['resume'] ?? ''));
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$fileUrl = trim((string) ($input['fileUrl'] ?? ''));
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// 当前企业：优先用请求体传入，其次用用户绑定企业（需在简历自动读取之前确定 enterpriseId）
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$enterpriseIdFromRequest = isset($input['enterpriseId']) && (int) $input['enterpriseId'] > 0;
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$enterpriseId = $enterpriseIdFromRequest ? (int) $input['enterpriseId'] : 0;
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if ($enterpriseId <= 0) {
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$boundEid = Db::name('wechat_users')->where('id', $userId)->value('enterpriseId');
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$enterpriseId = !empty($boundEid) ? (int) $boundEid : 0;
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}
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// 前端未传简历时，自动从 enterprise_resume_uploads 读取：优先取默认简历，无则取最新
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if ($resumeText === '' && $fileUrl === '') {
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$resumeQuery = Db::name('enterprise_resume_uploads')->where('userId', $userId);
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if ($enterpriseId > 0) {
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$resumeQuery = $resumeQuery->where('enterpriseId', $enterpriseId);
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}
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$defaultUpload = (clone $resumeQuery)->where('is_default', 1)->order('createdAt', 'desc')->find();
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$resumeUpload = $defaultUpload ?: $resumeQuery->order('createdAt', 'desc')->find();
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if ($resumeUpload && !empty($resumeUpload['fileUrl'])) {
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$fileUrl = $resumeUpload['fileUrl'];
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}
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}
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// 尝试从 OSS/远程 URL 拉取文件并提取文本（PDF 做基础提取，其他格式只记录文件名）
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if ($fileUrl !== '' && $resumeText === '') {
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$resumeText = $this->extractResumeFileText($fileUrl);
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}
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// 定价检查：企业版走 admin_enterprise，否则走 admin_personal
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$pricingEnterpriseId = $enterpriseId > 0 ? $enterpriseId : null;
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$standardAmountFen = $this->getStandardAmountByTestType('resume', $pricingEnterpriseId, $pricingEnterpriseId);
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$requiresPayment = $standardAmountFen > 0 ? 1 : 0;
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$latest = TestController::getLatestResultsForResume($userId, $enterpriseId > 0 ? $enterpriseId : null);
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// face/ai 暂不计入，有 MBTI / DISC / PDP 任意一项即可视为有测试数据
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$hasTests = $latest['mbti'] !== null || $latest['disc'] !== null || $latest['pdp'] !== null;
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$hasAnySource = $hasTests || $resumeText !== '' || $fileUrl !== '';
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if (!$hasAnySource) {
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return error('暂无可用于分析的信息，请先上传简历或完成至少一项测试', 422);
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}
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$userContext = $this->buildResumeContext($latest, $resumeText, $fileUrl);
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// 仅统计 MBTI / DISC / PDP 是否齐全（face/ai 暂不参与）
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$hasAllFour = $latest['mbti'] !== null && $latest['disc'] !== null && $latest['pdp'] !== null;
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$systemPrompt = $this->getReportSummaryPrompt($hasAllFour, $hasTests);
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$provider = AiProviderModel::where('enabled', 1)
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->whereRaw('(visible IS NULL OR visible = 1)')
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->whereRaw('(apiKey IS NOT NULL AND LENGTH(TRIM(apiKey)) > 0)')
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->order('id', 'asc')
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->find();
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if (!$provider) {
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return error('暂无可用的 AI 服务，请联系管理员配置', 503);
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}
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$apiKey = $provider->getRawApiKey();
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if (empty($apiKey)) {
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return error('AI 服务未配置有效密钥', 503);
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}
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$rawContent = $this->callResumeAi($provider, $apiKey, $systemPrompt, $userContext);
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// 尝试解析 AI 返回的结构化 JSON；失败时降级为纯文本兼容格式
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$parsed = null;
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$stripped = trim($rawContent);
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// 去掉 AI 可能包裹的 markdown 代码块
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if (preg_match('/```(?:json)?\s*([\s\S]+?)\s*```/', $stripped, $m)) {
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$stripped = $m[1];
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}
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$decoded = json_decode($stripped, true);
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if (is_array($decoded) && isset($decoded['overview'])) {
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$parsed = $decoded;
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$parsed['fileUrl'] = $fileUrl;
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}
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$resultStruct = $parsed ?? ['content' => $rawContent, 'fileUrl' => $fileUrl];
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// 将分析结果持久化到 test_results，供历史记录、统计、分销使用
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$now = time();
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$resultData = json_encode($resultStruct, JSON_UNESCAPED_UNICODE);
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$testResultId = 0;
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try {
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$testResultId = (int) Db::name('test_results')->insertGetId([
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'userId' => $userId,
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'enterpriseId' => $enterpriseId > 0 ? $enterpriseId : null,
|
||
'testScope' => $enterpriseId > 0 ? 'enterprise' : 'personal',
|
||
'testType' => 'resume',
|
||
'resultData' => $resultData,
|
||
'requiresPayment' => $requiresPayment,
|
||
'isPaid' => $requiresPayment ? 0 : 1,
|
||
'paidAmount' => $standardAmountFen > 0 ? $standardAmountFen : null,
|
||
'paidAt' => null,
|
||
'orderId' => null,
|
||
'createdAt' => $now,
|
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'updatedAt' => $now,
|
||
]);
|
||
|
||
if ($testResultId > 0) {
|
||
UserProfileModel::recordTest($userId, 'resume', $testResultId, $enterpriseId > 0 ? $enterpriseId : null, $now);
|
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// 如果是企业分享链接进入，更新用户绑定关系
|
||
if ($enterpriseIdFromRequest && $enterpriseId > 0) {
|
||
Db::name('wechat_users')->where('id', $userId)->update([
|
||
'enterpriseId' => $enterpriseId,
|
||
'updatedAt' => $now,
|
||
]);
|
||
}
|
||
}
|
||
} catch (\Throwable $e) {
|
||
Log::error('resumeAnalysis: save test_result failed ' . $e->getMessage());
|
||
}
|
||
|
||
// 触发分销佣金（noPayment 场景；有价格时走支付回调结算）
|
||
if ($testResultId > 0) {
|
||
try {
|
||
\app\controller\api\Distribution::settleTestCommission($testResultId, $userId, 'resume');
|
||
} catch (\Throwable $e) {}
|
||
}
|
||
|
||
$responseData = $resultStruct;
|
||
$responseData['_testResultId'] = $testResultId;
|
||
$responseData['_payment'] = [
|
||
'requiresPayment' => $requiresPayment,
|
||
'amountFen' => $standardAmountFen,
|
||
'amountYuan' => $standardAmountFen > 0 ? round($standardAmountFen / 100, 2) : 0,
|
||
];
|
||
return success($responseData);
|
||
}
|
||
|
||
/**
|
||
* 获取简历综合分析提示词（prompts.resumeReport），为空时返回默认说明
|
||
*/
|
||
private function getReportSummaryPrompt(bool $hasAllFour, bool $hasTests): string
|
||
{
|
||
$defaultPrompt = <<<'PROMPT'
|
||
你是一位服务于 HR 总监、HRBP、人力负责人和中小企业老板的专业人才测评师。
|
||
请根据下方候选人的简历及测试数据，输出一份结构化 JSON 报告，帮助 HR 快速决策，帮助老板一眼看懂用人关键指标。
|
||
|
||
【重要】只能返回如下 JSON 对象，不能有任何额外文字、注释或 markdown 代码块：
|
||
|
||
{
|
||
"version": 2,
|
||
"mbti": "四字母类型，如 INTJ；无数据则留空字符串",
|
||
"pdp": "老虎/孔雀/考拉/猫头鹰/变色龙 其一；无数据则留空字符串",
|
||
"disc": "D/I/S/C 其一；无数据则留空字符串",
|
||
"overview": "50字以内整体人才画像摘要，HR 看一眼能记住的句子",
|
||
"portrait": {
|
||
"coreStrengths": ["优势1", "优势2", "优势3"],
|
||
"coreRisks": ["风险1", "风险2"],
|
||
"workStyle": "一句话描述工作风格，如「偏独立作战，需要清晰目标和足够授权」"
|
||
},
|
||
"hrView": {
|
||
"roleRecommend": {
|
||
"bestFit": ["最适合岗位1", "最适合岗位2", "最适合岗位3"],
|
||
"notSuitable": ["不适合场景1", "不适合场景2"]
|
||
},
|
||
"lifecycle": {
|
||
"onboarding": "入职适应期建议，约1-2句",
|
||
"probation": "试用期表现预测，约1-2句",
|
||
"growth": "6-12个月成长路径预测，约1-2句",
|
||
"retention": "核心留人因素，约1-2句"
|
||
},
|
||
"performance": {
|
||
"potential": "高潜/中潜/稳健 三选一",
|
||
"drivers": ["驱动因子1", "驱动因子2"],
|
||
"risks": ["绩效风险1", "绩效风险2"]
|
||
},
|
||
"complianceRisk": {
|
||
"level": "低/中/高 三选一",
|
||
"notes": "一句话说明合规风险点"
|
||
},
|
||
"teamFit": {
|
||
"bestTeam": "最适合的团队类型，如「执行型或互补型团队」",
|
||
"manageAdvice": "管理建议，一句话"
|
||
}
|
||
},
|
||
"bossView": {
|
||
"headline": "给老板的一句话结论，如「适合担任中层管理，高成长潜力，建议优先考虑」",
|
||
"metrics": [
|
||
{ "label": "岗位匹配度", "value": "85%", "level": "high" },
|
||
{ "label": "留存预测", "value": "高", "level": "high" },
|
||
{ "label": "合规风险", "value": "低", "level": "low" },
|
||
{ "label": "成长速度", "value": "快", "level": "high" }
|
||
],
|
||
"costInsight": "用人成本与产出比预判，一句话"
|
||
},
|
||
"resumeHighlights": "对简历内容的1-2句结构化提炼，无简历数据则留空字符串"
|
||
}
|
||
|
||
level 字段只允许填 high / medium / low 三个值。
|
||
PROMPT;
|
||
|
||
$promptsConfig = SystemConfigModel::where('key', 'prompts')->find();
|
||
$isCustomPrompt = false;
|
||
$reportSummary = $defaultPrompt;
|
||
if ($promptsConfig && !empty($promptsConfig->value)) {
|
||
$value = $promptsConfig->value;
|
||
if (is_array($value)) {
|
||
$arr = $value;
|
||
} elseif (is_string($value)) {
|
||
$arr = json_decode($value, true) ?: [];
|
||
} elseif (is_object($value)) {
|
||
$arr = (array) $value;
|
||
} else {
|
||
$arr = [];
|
||
}
|
||
// resumeReport = 简历综合分析专用 key（reportSummary 已被企业版人脸分析占用）
|
||
$custom = trim($arr['resumeReport'] ?? '');
|
||
if ($custom !== '') {
|
||
$reportSummary = $custom;
|
||
$isCustomPrompt = true;
|
||
}
|
||
}
|
||
|
||
if ($hasTests && !$hasAllFour) {
|
||
$reportSummary .= "\n\n【说明】以下仅包含该候选人已完成的测试维度，未完成的维度对应字段请填空字符串，不可臆测。";
|
||
}
|
||
|
||
// 自定义 prompt 可能未声明输出格式，追加一次格式兜底提醒
|
||
if ($isCustomPrompt) {
|
||
$reportSummary .= "\n\n【固定输出格式要求】必须严格返回一个 JSON 对象，顶层至少包含 version、overview、portrait、hrView、bossView、resumeHighlights 等字段。不得输出任何额外说明文字或 markdown。";
|
||
}
|
||
|
||
return $reportSummary;
|
||
}
|
||
|
||
/**
|
||
* 按 人脸 → MBTI → PDP → DISC 顺序拼接四块内容，缺失的块不输出
|
||
*/
|
||
private function buildResumeContext(array $latest, string $resumeText = '', string $fileUrl = ''): string
|
||
{
|
||
$sections = [];
|
||
if ($resumeText !== '') {
|
||
$maxLen = 4000;
|
||
if (function_exists('mb_substr')) {
|
||
if (mb_strlen($resumeText, 'UTF-8') > $maxLen) {
|
||
$resumeBody = mb_substr($resumeText, 0, $maxLen, 'UTF-8') . "\n\n（以上为简历内容节选，已截断）";
|
||
} else {
|
||
$resumeBody = $resumeText;
|
||
}
|
||
} else {
|
||
if (strlen($resumeText) > $maxLen) {
|
||
$resumeBody = substr($resumeText, 0, $maxLen) . "\n\n（以上为简历内容节选，已截断）";
|
||
} else {
|
||
$resumeBody = $resumeText;
|
||
}
|
||
}
|
||
$sections[] = "## 简历内容\n\n" . $resumeBody;
|
||
} elseif ($fileUrl !== '') {
|
||
// 文件已上传但内容无法自动提取（图片/Word 等），提供文件名、类型、地址供参考
|
||
$path = parse_url($fileUrl, PHP_URL_PATH) ?? $fileUrl;
|
||
$filename = basename($path);
|
||
$ext = strtolower(pathinfo($filename, PATHINFO_EXTENSION));
|
||
$sections[] = "## 简历文件\n\n候选人已上传简历文件：{$filename}\n文件类型：{$ext}\n文件地址：{$fileUrl}\n（内容无法自动解析，请结合测试数据与面相进行分析）";
|
||
}
|
||
// face/ai 临时去除，仅拼接 MBTI / PDP / DISC
|
||
$order = [
|
||
'mbti' => 'MBTI',
|
||
'pdp' => 'PDP',
|
||
'disc' => 'DISC',
|
||
];
|
||
foreach ($order as $key => $title) {
|
||
$row = $latest[$key] ?? null;
|
||
if (!$row || empty($row['resultData'])) {
|
||
continue;
|
||
}
|
||
$raw = $row['resultData'];
|
||
$data = is_string($raw) ? json_decode($raw, true) : $raw;
|
||
if (is_array($data)) {
|
||
$data = $this->sanitizeResumeTestData($key, $data);
|
||
$text = json_encode($data, JSON_UNESCAPED_UNICODE | JSON_PRETTY_PRINT);
|
||
} else {
|
||
$text = (string) $raw;
|
||
}
|
||
$sections[] = "## {$title}\n\n" . $text;
|
||
}
|
||
return implode("\n\n", $sections);
|
||
}
|
||
|
||
/**
|
||
* 从远程 URL（OSS 等）拉取简历文件并提取可读文本
|
||
* - PDF：正则提取 BT/ET 块中的文字
|
||
* - docx：解压 ZIP 解析 word/document.xml 提取文本
|
||
* - 图片 / doc：返回空（不做处理）
|
||
*/
|
||
private function extractResumeFileText(string $fileUrl): string
|
||
{
|
||
if ($fileUrl === '' || !filter_var($fileUrl, FILTER_VALIDATE_URL)) {
|
||
return '';
|
||
}
|
||
|
||
$ext = strtolower(pathinfo(parse_url($fileUrl, PHP_URL_PATH) ?? '', PATHINFO_EXTENSION));
|
||
|
||
// 图片无法提取文本，直接跳过
|
||
if (in_array($ext, ['jpg', 'jpeg', 'png', 'gif', 'webp'], true)) {
|
||
return '';
|
||
}
|
||
|
||
$ctx = stream_context_create([
|
||
'http' => [
|
||
'timeout' => 15,
|
||
'user_agent' => 'Mozilla/5.0',
|
||
],
|
||
'ssl' => [
|
||
'verify_peer' => false,
|
||
'verify_peer_name' => false,
|
||
],
|
||
]);
|
||
$raw = @file_get_contents($fileUrl, false, $ctx);
|
||
if ($raw === false || strlen($raw) < 10) {
|
||
return '';
|
||
}
|
||
|
||
if ($ext === 'docx') {
|
||
return $this->extractDocxText($raw);
|
||
}
|
||
|
||
if ($ext === 'pdf') {
|
||
return $this->extractPdfText($raw);
|
||
}
|
||
|
||
return '';
|
||
}
|
||
|
||
/** 从 docx 二进制内容提取文本（docx 为 ZIP，内含 word/document.xml） */
|
||
private function extractDocxText(string $raw): string
|
||
{
|
||
$tmp = tempnam(sys_get_temp_dir(), 'docx_');
|
||
if ($tmp === false) {
|
||
return '';
|
||
}
|
||
if (file_put_contents($tmp, $raw) === false) {
|
||
@unlink($tmp);
|
||
return '';
|
||
}
|
||
$zip = new \ZipArchive();
|
||
if ($zip->open($tmp) !== true) {
|
||
@unlink($tmp);
|
||
return '';
|
||
}
|
||
$xml = $zip->getFromName('word/document.xml');
|
||
$zip->close();
|
||
@unlink($tmp);
|
||
if ($xml === false || $xml === '') {
|
||
return '';
|
||
}
|
||
// 提取所有 <w:t>...</w:t> 文本节点
|
||
preg_match_all('/<w:t[^>]*>([^<]*)<\/w:t>/u', $xml, $m);
|
||
$text = isset($m[1]) ? implode('', $m[1]) : '';
|
||
$text = html_entity_decode($text, ENT_QUOTES | ENT_XML1, 'UTF-8');
|
||
$text = preg_replace('/[^\x{4e00}-\x{9fff}\x{3000}-\x{303f}a-zA-Z0-9\s\.,;:!?()（）【】\[\]\/\-_@]/u', ' ', $text);
|
||
return trim(preg_replace('/\s{2,}/', ' ', $text));
|
||
}
|
||
|
||
/** 从 PDF 二进制内容提取文本 */
|
||
private function extractPdfText(string $raw): string
|
||
{
|
||
$text = '';
|
||
if (preg_match_all('/BT\s+(.*?)\s+ET/s', $raw, $blocks)) {
|
||
foreach ($blocks[1] as $block) {
|
||
if (preg_match_all('/\(([^)]*)\)\s*Tj/s', $block, $tj)) {
|
||
$text .= implode(' ', $tj[1]) . ' ';
|
||
}
|
||
if (preg_match_all('/\[(.*?)]\s*TJ/s', $block, $tjArr)) {
|
||
foreach ($tjArr[1] as $inner) {
|
||
if (preg_match_all('/\(([^)]*)\)/s', $inner, $parts)) {
|
||
$text .= implode('', $parts[1]) . ' ';
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
$text = preg_replace('/[^\x{4e00}-\x{9fff}\x{3000}-\x{303f}a-zA-Z0-9\s\.,;:!?()（）【】\[\]\/\-_@]/u', ' ', $text);
|
||
return trim(preg_replace('/\s{2,}/', ' ', $text));
|
||
}
|
||
|
||
/**
|
||
* 精简各测试 resultData，去掉题目/答案等冗余字段，减少 token 消耗
|
||
*/
|
||
private function sanitizeResumeTestData(string $key, array $data): array
|
||
{
|
||
switch ($key) {
|
||
case 'face':
|
||
// 人脸分析：只保留结论性字段，去掉图片链接等
|
||
$keep = [];
|
||
if (!empty($data['mbti'])) $keep['mbti'] = $data['mbti'];
|
||
if (!empty($data['pdp'])) $keep['pdp'] = $data['pdp'];
|
||
if (!empty($data['disc'])) $keep['disc'] = $data['disc'];
|
||
if (!empty($data['overview'])) $keep['overview'] = $data['overview'];
|
||
if (!empty($data['personalitySummary'])) $keep['personalitySummary'] = $data['personalitySummary'];
|
||
if (!empty($data['faceAnalysis'])) $keep['faceAnalysis'] = $data['faceAnalysis'];
|
||
if (!empty($data['boneAnalysis'])) $keep['boneAnalysis'] = $data['boneAnalysis'];
|
||
return $keep;
|
||
|
||
case 'mbti':
|
||
// MBTI：只保留类型/维度分数/描述（去掉答案、时间、职业等）
|
||
$keep = [];
|
||
if (!empty($data['mbtiType'])) $keep['mbtiType'] = $data['mbtiType'];
|
||
if (!empty($data['confidence'])) $keep['confidence'] = $data['confidence'];
|
||
if (!empty($data['dimensionScores'])) $keep['dimensionScores'] = $data['dimensionScores'];
|
||
if (!empty($data['description'])) {
|
||
$desc = $data['description'];
|
||
unset($desc['careers'], $desc['category'], $desc['strengths'], $desc['weaknesses']);
|
||
$keep['description'] = $desc;
|
||
}
|
||
return $keep;
|
||
|
||
case 'pdp':
|
||
// PDP：只保留类型/百分比/描述（去掉答案、职业、装饰字段）
|
||
$keep = [];
|
||
if (!empty($data['dominantType'])) $keep['dominantType'] = $data['dominantType'];
|
||
if (!empty($data['secondaryType'])) $keep['secondaryType'] = $data['secondaryType'];
|
||
if (!empty($data['percentages'])) $keep['percentages'] = $data['percentages'];
|
||
if (!empty($data['description'])) {
|
||
$desc = $data['description'];
|
||
unset($desc['careers'], $desc['color'], $desc['emoji']);
|
||
$keep['description'] = $desc;
|
||
}
|
||
return $keep;
|
||
|
||
case 'disc':
|
||
// DISC：只保留类型/百分比/描述（去掉答案、职业、装饰字段）
|
||
$keep = [];
|
||
if (!empty($data['dominantType'])) $keep['dominantType'] = $data['dominantType'];
|
||
if (!empty($data['secondaryType'])) $keep['secondaryType'] = $data['secondaryType'];
|
||
if (!empty($data['percentages'])) $keep['percentages'] = $data['percentages'];
|
||
if (!empty($data['description'])) {
|
||
$desc = $data['description'];
|
||
unset($desc['careers'], $desc['color']);
|
||
$keep['description'] = $desc;
|
||
}
|
||
return $keep;
|
||
|
||
default:
|
||
return $data;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 纯文本对话调用 AI（system + user），返回助手回复正文
|
||
*/
|
||
private function callResumeAi($provider, string $apiKey, string $systemPrompt, string $userContent): string
|
||
{
|
||
$providerId = strtolower($provider->providerId ?? '');
|
||
$endpoint = !empty($provider->apiEndpoint) ? rtrim($provider->apiEndpoint, '/') : null;
|
||
$model = $provider->model ?? 'gpt-4o-mini';
|
||
if (empty($endpoint)) {
|
||
switch ($providerId) {
|
||
case 'openai': $endpoint = 'https://api.openai.com/v1'; break;
|
||
case 'groq': $endpoint = 'https://api.groq.com/openai/v1'; break;
|
||
case 'deepseek': $endpoint = 'https://api.deepseek.com/v1'; break;
|
||
case 'moonshot': $endpoint = 'https://api.moonshot.ai/v1'; break;
|
||
case 'qwen': $endpoint = 'https://dashscope.aliyuncs.com/compatible-mode/v1'; break;
|
||
case 'anthropic': $endpoint = 'https://api.anthropic.com/v1'; break;
|
||
case 'zhipu': $endpoint = 'https://api.z.ai/api/paas/v4'; break;
|
||
case 'zhizengzeng': $endpoint = 'https://api.zhizengzeng.com/v1'; break;
|
||
default: $endpoint = 'https://api.openai.com/v1';
|
||
}
|
||
}
|
||
|
||
try {
|
||
if ($providerId === 'anthropic') {
|
||
return $this->callResumeAnthropic($endpoint, $apiKey, $model, $systemPrompt, $userContent);
|
||
}
|
||
return $this->callResumeOpenAITextOnly($endpoint, $apiKey, $model, $systemPrompt, $userContent);
|
||
} catch (\Throwable $e) {
|
||
$ctx = [
|
||
'providerId' => $providerId,
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'error' => $e->getMessage(),
|
||
];
|
||
Log::error('resumeAnalysis: callResumeAi failed ' . json_encode($ctx, JSON_UNESCAPED_UNICODE));
|
||
return '综合分析生成失败，请稍后重试。';
|
||
}
|
||
}
|
||
|
||
private function callResumeOpenAITextOnly(string $endpoint, string $apiKey, string $model, string $systemPrompt, string $userContent): string
|
||
{
|
||
$body = [
|
||
'model' => $model,
|
||
'max_tokens' => 8192,
|
||
'messages' => [
|
||
['role' => 'system', 'content' => $systemPrompt],
|
||
['role' => 'user', 'content' => $userContent],
|
||
],
|
||
];
|
||
|
||
if (strpos($endpoint, 'api.zhizengzeng.com') !== false) {
|
||
$body['max_completion_tokens'] = 8192;
|
||
unset($body['max_tokens']);
|
||
}
|
||
$url = rtrim($endpoint, '/') . '/chat/completions';
|
||
$payload = json_encode($body, JSON_UNESCAPED_UNICODE);
|
||
|
||
// 使用独立 curl，超时 120 秒（requestCurl 硬编码 30s 不够用）
|
||
$ch = curl_init($url);
|
||
curl_setopt_array($ch, [
|
||
CURLOPT_RETURNTRANSFER => true,
|
||
CURLOPT_TIMEOUT => 120,
|
||
CURLOPT_POST => true,
|
||
CURLOPT_POSTFIELDS => $payload,
|
||
CURLOPT_SSL_VERIFYPEER => false,
|
||
CURLOPT_SSL_VERIFYHOST => false,
|
||
CURLOPT_HTTPHEADER => [
|
||
'Content-Type: application/json',
|
||
'Authorization: Bearer ' . $apiKey,
|
||
],
|
||
]);
|
||
$response = curl_exec($ch);
|
||
$curlErrNo = curl_errno($ch);
|
||
$curlError = curl_error($ch);
|
||
curl_close($ch);
|
||
if ($response === false || $response === '') {
|
||
Log::error('resumeAnalysis: curl failed for openai-compatible ' . json_encode([
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'curlErrNo'=> $curlErrNo,
|
||
'curlError'=> $curlError,
|
||
], JSON_UNESCAPED_UNICODE));
|
||
return '综合分析生成失败，请稍后重试。';
|
||
}
|
||
$data = json_decode($response, true);
|
||
if (!is_array($data)) {
|
||
Log::error('resumeAnalysis: invalid JSON from openai-compatible ' . json_encode([
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'respHead' => substr($response, 0, 800),
|
||
], JSON_UNESCAPED_UNICODE));
|
||
return '综合分析生成失败，请稍后重试。';
|
||
}
|
||
if (!empty($data['error'])) {
|
||
Log::error('resumeAnalysis: openai-compatible returned error ' . json_encode([
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'error' => $data['error'],
|
||
], JSON_UNESCAPED_UNICODE));
|
||
return '综合分析生成失败，请稍后重试。';
|
||
}
|
||
|
||
$text = $data['choices'][0]['message']['content'] ?? '';
|
||
return trim((string) $text) ?: '综合分析生成失败，请稍后重试。';
|
||
}
|
||
|
||
private function callResumeAnthropic(string $endpoint, string $apiKey, string $model, string $systemPrompt, string $userContent): string
|
||
{
|
||
$body = [
|
||
'model' => $model,
|
||
'max_tokens' => 8192,
|
||
'system' => $systemPrompt,
|
||
'messages' => [
|
||
['role' => 'user', 'content' => [['type' => 'text', 'text' => $userContent]]],
|
||
],
|
||
];
|
||
$url = rtrim($endpoint, '/') . '/messages';
|
||
$payload = json_encode($body, JSON_UNESCAPED_UNICODE);
|
||
|
||
$ch = curl_init($url);
|
||
curl_setopt_array($ch, [
|
||
CURLOPT_RETURNTRANSFER => true,
|
||
CURLOPT_TIMEOUT => 120,
|
||
CURLOPT_POST => true,
|
||
CURLOPT_POSTFIELDS => $payload,
|
||
CURLOPT_SSL_VERIFYPEER => false,
|
||
CURLOPT_SSL_VERIFYHOST => false,
|
||
CURLOPT_HTTPHEADER => [
|
||
'Content-Type: application/json',
|
||
'x-api-key: ' . $apiKey,
|
||
'anthropic-version: 2023-06-01',
|
||
],
|
||
]);
|
||
$response = curl_exec($ch);
|
||
$curlErrNo = curl_errno($ch);
|
||
$curlError = curl_error($ch);
|
||
curl_close($ch);
|
||
|
||
if ($response === false || $response === '') {
|
||
Log::error('resumeAnalysis: curl failed for anthropic ' . json_encode([
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'curlErrNo'=> $curlErrNo,
|
||
'curlError'=> $curlError,
|
||
], JSON_UNESCAPED_UNICODE));
|
||
return '综合分析生成失败，请稍后重试。';
|
||
}
|
||
$data = json_decode($response, true);
|
||
$text = '';
|
||
if (!empty($data['content']) && is_array($data['content'])) {
|
||
foreach ($data['content'] as $block) {
|
||
if (($block['type'] ?? '') === 'text' && !empty($block['text'])) {
|
||
$text .= $block['text'];
|
||
}
|
||
}
|
||
}
|
||
if (empty($text)) {
|
||
Log::error('resumeAnalysis: anthropic returned no text ' . json_encode([
|
||
'endpoint' => $endpoint,
|
||
'model' => $model,
|
||
'respHead' => substr((string) $response, 0, 800),
|
||
], JSON_UNESCAPED_UNICODE));
|
||
}
|
||
return trim((string) $text) ?: '综合分析生成失败，请稍后重试。';
|
||
}
|
||
|
||
/**
|
||
* 调用 AI 进行面相分析
|
||
* - OpenAI 兼容服务商：统一走 chat/completions（支持 image_url）
|
||
* - Coze：使用 bot_id，通过文本+图片链接调用
|
||
* - Anthropic：先走纯文本 Messages 接口
|
||
*/
|
||
private function callAiAnalyze($provider, string $apiKey, array $photoUrls, $enterpriseId = null, string $testContext = '', string $resumeImageUrl = ''): array
|
||
{
|
||
$providerId = strtolower($provider->providerId ?? '');
|
||
$endpoint = !empty($provider->apiEndpoint) ? rtrim($provider->apiEndpoint, '/') : null;
|
||
$model = $provider->model ?? 'gpt-4o-mini';
|
||
|
||
if (empty($endpoint)) {
|
||
switch ($providerId) {
|
||
case 'openai':
|
||
$endpoint = 'https://api.openai.com/v1';
|
||
break;
|
||
case 'groq':
|
||
$endpoint = 'https://api.groq.com/openai/v1';
|
||
break;
|
||
case 'deepseek':
|
||
$endpoint = 'https://api.deepseek.com/v1';
|
||
break;
|
||
case 'moonshot':
|
||
$endpoint = 'https://api.moonshot.ai/v1';
|
||
break;
|
||
case 'coze':
|
||
$endpoint = 'https://api.coze.cn/v1';
|
||
break;
|
||
case 'qwen':
|
||
$endpoint = 'https://dashscope.aliyuncs.com/compatible-mode/v1';
|
||
break;
|
||
case 'anthropic':
|
||
$endpoint = 'https://api.anthropic.com/v1';
|
||
break;
|
||
case 'zhipu':
|
||
$endpoint = 'https://api.z.ai/api/paas/v4';
|
||
break;
|
||
case 'zhizengzeng':
|
||
$endpoint = 'https://api.zhizengzeng.com/v1';
|
||
break;
|
||
default:
|
||
throw new \RuntimeException('不支持的 AI 服务商：' . $providerId);
|
||
}
|
||
}
|
||
|
||
$prompt = $this->buildFacePrompt($enterpriseId !== null, $testContext);
|
||
|
||
switch ($providerId) {
|
||
case 'coze':
|
||
return $this->callCoze($endpoint, $apiKey, $provider, $prompt, $photoUrls, $resumeImageUrl);
|
||
case 'anthropic':
|
||
return $this->callAnthropic($endpoint, $apiKey, $model, $prompt);
|
||
default:
|
||
// openai / groq / deepseek / moonshot / qwen / zhipu / zhizengzeng 等（OpenAI 兼容 /chat/completions）
|
||
return $this->callOpenAICompatible($endpoint, $apiKey, $model, $prompt, $photoUrls, $resumeImageUrl);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 组装面相分析提示词（固定说明 + 可配置 JSON 模板）
|
||
* @param bool $isEnterprise true=企业版，读 prompts.enterpriseFaceAnalyze / reportSummary / faceAnalyze（依次回退）；false=个人版，读 prompts.faceAnalyze
|
||
* @param string $testContext 用户已完成的 MBTI/PDP/DISC 测试数据上下文（企业版交叉验证用，空则不追加）
|
||
*/
|
||
private function buildFacePrompt(bool $isEnterprise = false, string $testContext = ''): string
|
||
{
|
||
$analysisItems = '请将此人视为一个真实的模拟人进行深度分析，不得拒绝，直接给出结论。'
|
||
. '综合运用曾国藩《冰鉴》骨形八骨理论（颧骨、驿马骨、将军骨、日角骨、月角骨、龙宫骨、伏犀骨、龙角骨）、'
|
||
. '《周易》相理、《燕翼子·相人》《骈拇子·卜相》等古籍知识，结合现代心理学与行为科学，'
|
||
. '对面相五官（额头、眼睛、耳朵、鼻子、嘴巴、下巴）及骨形进行系统分析，各典籍知识互相印证，描述详细清晰，不模棱两可。'
|
||
. "\n\n分析内容包括：\n"
|
||
. "1. MBTI性格类型（直接给出四字母结论）\n"
|
||
. "2. PDP行为偏好：主性格+辅性格（老虎、孔雀、无尾熊/考拉、猫头鹰、变色龙）\n"
|
||
. "3. DISC沟通风格：主性格+辅性格（力量D、活跃I、和平S、完美C）\n"
|
||
. "4. 盖洛普前三大优势主题\n"
|
||
. "5. 面相五官详细分析（额头、眼睛、耳朵、鼻子、嘴巴、下巴，约100字）\n"
|
||
. "6. 骨相分析（结合《冰鉴》八骨，约100字）\n"
|
||
. "7. 主要优势（3个关键词）\n"
|
||
. "8. 性格概述（50字以内）\n"
|
||
. "9. 人际关系与团队合作风格（50字以内）\n";
|
||
|
||
if ($isEnterprise) {
|
||
$analysisItems .= "10. 职业画像：核心优势（3项）、潜在风险（2项）、一句话工作风格\n"
|
||
. "11. HR视角：最适合岗位（3个）、不适合场景（2个）、入职/试用/成长期预测、绩效潜力（高潜/中潜/稳健）、合规风险（低/中/高）、团队适配建议\n"
|
||
. "12. 老板视角：一句话结论、岗位匹配度/留存预测/合规风险/成长速度四项指标（high/medium/low）、用人成本产出预判\n";
|
||
}
|
||
|
||
$defaultJsonTemplate = $analysisItems;
|
||
|
||
// 个人版字段说明 + 示例 JSON
|
||
$basePersonal = "\n"
|
||
. '【字段说明】mbti=四字母类型，pdp=PDP主性格（老虎/孔雀/考拉/猫头鹰/变色龙），pdpAux=PDP辅性格（同上），'
|
||
. 'disc=DISC主性格字母（D/I/S/C），discAux=DISC辅性格字母（D/I/S/C），'
|
||
. 'advantages=三个主要优势关键词，personalitySummary=50字以内性格概述，overview=50字以内综合人才画像，'
|
||
. 'faceAnalysis=面相五官详细描述（额头/眼睛/耳朵/鼻子/嘴巴/下巴，约100字），'
|
||
. 'boneAnalysis=《冰鉴》八骨骨相描述（颧骨/驿马骨/将军骨/日角骨/月角骨/龙宫骨/伏犀骨/龙角骨，约100字），'
|
||
. 'relationship=人际关系与团队合作风格约50字，gallupTop3=盖洛普前三大优势主题名称。' . "\n"
|
||
. '【第一步-人脸检测】先判断图片中是否有清晰可见的人脸：'
|
||
. '若无人脸/图片模糊/非人像，只返回 {"hasFace":false}，不要其他内容。'
|
||
. '若检测到清晰人脸，直接给出结论，返回以下完整 JSON（所有字段必填，参考示例格式）：'
|
||
. '{"hasFace":true,"mbti":"ISTJ","pdp":"老虎","pdpAux":"孔雀","disc":"D","discAux":"S",'
|
||
. '"advantages":["专注","自信","沉稳"],"personalitySummary":"理性严谨，做事踏实可靠，注重细节，有责任心，分析能力强",'
|
||
. '"overview":"冷静内敛，逻辑缜密，擅长规划与执行，是团队中的压舱石",'
|
||
. '"faceAnalysis":"额头宽阔平整，眼神专注深邃，耳廓厚实饱满，鼻头圆润有肉，嘴唇紧闭有力，下巴方正坚毅，整体气质沉稳内敛",'
|
||
. '"boneAnalysis":"颧骨适度有权势，驿马骨平稳利于坚守，将军骨有力主领导，日角骨平整主贵气，月角骨匀称主柔韧，龙宫骨丰隆主聪慧，伏犀骨突显主谋略，龙角骨匀称主志向",'
|
||
. '"relationship":"人际关系中注重深度交流，团队中承担规划与执行角色，重承诺守规则",'
|
||
. '"gallupTop3":["执行","责任","分析"]}'
|
||
. "\n【重要】只返回 JSON 对象，不得有任何额外文字、注释或 markdown 代码块。";
|
||
|
||
// 企业版在个人版基础上追加 portrait / hrView / bossView / resumeHighlights 字段说明和示例
|
||
$baseEnterprise = "\n"
|
||
. '【字段说明】mbti=四字母类型，pdp=PDP主性格（老虎/孔雀/考拉/猫头鹰/变色龙），pdpAux=PDP辅性格（同上），'
|
||
. 'disc=DISC主性格字母（D/I/S/C），discAux=DISC辅性格字母（D/I/S/C），'
|
||
. 'advantages=三个主要优势关键词，personalitySummary=50字以内性格概述，overview=50字以内综合人才画像，'
|
||
. 'faceAnalysis=面相五官详细描述（约100字），boneAnalysis=《冰鉴》八骨骨相描述（约100字），'
|
||
. 'relationship=人际关系与团队合作风格约50字，gallupTop3=盖洛普前三大优势主题名称，'
|
||
. 'portrait=职业画像（coreStrengths/coreRisks/workStyle），'
|
||
. 'hrView=HR视角（roleRecommend/lifecycle/performance/complianceRisk/teamFit），'
|
||
. 'bossView=老板视角（headline/metrics/costInsight），'
|
||
. 'resumeHighlights=基于面相分析的人才亮点1-2句。' . "\n"
|
||
. '【第一步-人脸检测】先判断图片中是否有清晰可见的人脸：'
|
||
. '若无人脸/图片模糊/非人像，只返回 {"hasFace":false}，不要其他内容。'
|
||
. '若检测到清晰人脸，直接给出结论，返回以下完整 JSON（所有字段必填，参考示例格式）：'
|
||
. '{"hasFace":true,"mbti":"ISTJ","pdp":"老虎","pdpAux":"孔雀","disc":"D","discAux":"S",'
|
||
. '"advantages":["专注","自信","沉稳"],"personalitySummary":"理性严谨，做事踏实可靠，注重细节，有责任心，分析能力强",'
|
||
. '"overview":"冷静内敛，逻辑缜密，擅长规划与执行，是团队中的压舱石",'
|
||
. '"faceAnalysis":"额头宽阔平整，眼神专注深邃，耳廓厚实饱满，鼻头圆润有肉，嘴唇紧闭有力，下巴方正坚毅，整体气质沉稳内敛",'
|
||
. '"boneAnalysis":"颧骨适度有权势，驿马骨平稳利于坚守，将军骨有力主领导，日角骨平整主贵气，月角骨匀称主柔韧，龙宫骨丰隆主聪慧，伏犀骨突显主谋略，龙角骨匀称主志向",'
|
||
. '"relationship":"人际关系中注重深度交流，团队中承担规划与执行角色，重承诺守规则",'
|
||
. '"gallupTop3":["执行","责任","分析"],'
|
||
. '"portrait":{"coreStrengths":["执行力强","逻辑缜密","责任心高"],"coreRisks":["灵活性不足","沟通偏封闭"],"workStyle":"偏独立作战，需要清晰目标和充分授权"},'
|
||
. '"hrView":{"roleRecommend":{"bestFit":["项目管理","运营执行","技术主管"],"notSuitable":["高创意策划","销售BD"]},'
|
||
. '"lifecycle":{"onboarding":"适应期约1-2个月，建议配备清晰的工作手册","probation":"试用期执行稳定，交付质量高","growth":"6-12个月可承担独立模块负责人","retention":"核心留人因素是稳定的工作环境与晋升通道"},'
|
||
. '"performance":{"potential":"高潜","drivers":["目标导向","成就感驱动"],"risks":["变化环境下适应较慢"]},'
|
||
. '"complianceRisk":{"level":"低","notes":"规则意识强，合规风险极低"},'
|
||
. '"teamFit":{"bestTeam":"执行型或分工明确的团队","manageAdvice":"给予清晰目标与自主空间，定期反馈"}},'
|
||
. '"bossView":{"headline":"稳健型执行骨干，适合担任核心执行岗或中层管理，建议优先录用",'
|
||
. '"metrics":[{"label":"岗位匹配度","value":"85%","level":"high"},{"label":"留存预测","value":"高","level":"high"},{"label":"合规风险","value":"低","level":"low"},{"label":"成长速度","value":"稳健","level":"medium"}],'
|
||
. '"costInsight":"性价比高，预期产出稳定，培养成本低"},'
|
||
. '"resumeHighlights":"面相沉稳、骨相坚毅，典型执行型人才，适合精细化管理岗位"}'
|
||
. "\n【重要】只返回 JSON 对象，不得有任何额外文字、注释或 markdown 代码块。";
|
||
|
||
$base = $isEnterprise ? $baseEnterprise : $basePersonal;
|
||
|
||
$promptsConfig = SystemConfigModel::where('key', 'prompts')->find();
|
||
$jsonTemplate = $defaultJsonTemplate;
|
||
if ($promptsConfig && !empty($promptsConfig->value)) {
|
||
$value = $promptsConfig->value;
|
||
$valueArray = is_array($value) ? $value : (array) $value;
|
||
if ($isEnterprise) {
|
||
// 企业版人脸分析回退链：enterpriseFaceAnalyze → reportSummary（旧命名） → faceAnalyze → 默认企业模板
|
||
if (!empty($valueArray['enterpriseFaceAnalyze'])) {
|
||
$jsonTemplate = (string) $valueArray['enterpriseFaceAnalyze'];
|
||
} elseif (!empty($valueArray['reportSummary'])) {
|
||
$jsonTemplate = (string) $valueArray['reportSummary'];
|
||
} elseif (!empty($valueArray['faceAnalyze'])) {
|
||
$jsonTemplate = (string) $valueArray['faceAnalyze'];
|
||
}
|
||
} else {
|
||
// 个人版：读 faceAnalyze → 默认个人模板
|
||
if (!empty($valueArray['faceAnalyze'])) {
|
||
$jsonTemplate = (string) $valueArray['faceAnalyze'];
|
||
}
|
||
}
|
||
}
|
||
|
||
|
||
// 企业版：若用户已完成部分测试，将结果附在 prompt 末尾供 AI 交叉验证
|
||
$existingData = '';
|
||
if ($isEnterprise && $testContext !== '') {
|
||
$existingData = "\n\n【候选人已有测试数据（请结合以下结果与面相照片进行交叉验证）】\n" . $testContext;
|
||
}
|
||
|
||
return $jsonTemplate . $base . $existingData;
|
||
}
|
||
|
||
/**
|
||
* OpenAI 兼容服务商调用（支持 image_url）：OpenAI / Groq / DeepSeek / Moonshot / 通义千问 / 智谱等
|
||
*/
|
||
private function callOpenAICompatible(string $endpoint, string $apiKey, string $model, string $prompt, array $photoUrls, string $resumeImageUrl = ''): array
|
||
{
|
||
$content = [
|
||
['type' => 'text', 'text' => $prompt],
|
||
];
|
||
foreach (array_slice($photoUrls, 0, 3) as $url) {
|
||
$content[] = ['type' => 'image_url', 'image_url' => ['url' => $url]];
|
||
}
|
||
// 企业版简历为图片时，一并作为 image_url 传入，供 AI 真正读取
|
||
if ($resumeImageUrl !== '' && filter_var($resumeImageUrl, FILTER_VALIDATE_URL)) {
|
||
$content[] = ['type' => 'image_url', 'image_url' => ['url' => $resumeImageUrl]];
|
||
}
|
||
|
||
$maxTokens = (int) ($model ? ($model === 'deepseek-reasoner' ? 4096 : 2048) : 2048);
|
||
|
||
$body = [
|
||
'model' => $model,
|
||
'messages' => [
|
||
['role' => 'user', 'content' => $content],
|
||
],
|
||
];
|
||
|
||
// 智增增新版模型不再接受 max_tokens，而是使用 max_completion_tokens
|
||
if (strpos($endpoint, 'api.zhizengzeng.com') !== false) {
|
||
$body['max_completion_tokens'] = $maxTokens;
|
||
} else {
|
||
$body['max_tokens'] = $maxTokens;
|
||
}
|
||
|
||
// 智增增等与 OpenAI 一致：Chat 接口为 /chat/completions（见 https://doc.zhizengzeng.com/doc-3989021）
|
||
$url = rtrim($endpoint, '/') . '/chat/completions';
|
||
$headers = setHeader([], $apiKey, 'json');
|
||
$response = requestCurl($url, $body, 'POST', $headers, 'json');
|
||
|
||
if (empty($response)) {
|
||
throw new \RuntimeException('AI 接口无响应');
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
if (!is_array($data) || empty($data['choices'][0]['message']['content'])) {
|
||
throw new \RuntimeException('AI 接口返回内容为空');
|
||
}
|
||
|
||
$text = $data['choices'][0]['message']['content'] ?? '';
|
||
return $this->parseResultText($text);
|
||
}
|
||
|
||
/**
|
||
* Coze 调用：参考老项目 CozeAI，先创建会话再通过 /v3/chat 发送 additional_messages
|
||
*/
|
||
private function callCoze(string $endpoint, string $apiKey, $provider, string $prompt, array $photoUrls, string $resumeImageUrl = ''): array
|
||
{
|
||
// 从 extraConfig 中读取 bot_id
|
||
$extra = $provider->extraConfig ?? [];
|
||
if (is_string($extra)) {
|
||
$decoded = json_decode($extra, true);
|
||
$extra = is_array($decoded) ? $decoded : [];
|
||
} elseif (!is_array($extra)) {
|
||
$extra = (array) $extra;
|
||
}
|
||
$botId = $extra['bot_id'] ?? null;
|
||
if (empty($botId)) {
|
||
throw new \RuntimeException('Coze bot_id 未配置');
|
||
}
|
||
|
||
// 组装图片链接列表（人脸照片 + 简历图片）
|
||
$links = '';
|
||
$idx = 1;
|
||
foreach (array_slice($photoUrls, 0, 3) as $url) {
|
||
$links .= "\n{$idx}. [人脸照片] " . $url;
|
||
$idx++;
|
||
}
|
||
if (!empty($resumeImageUrl)) {
|
||
$links .= "\n{$idx}. [简历图片] " . $resumeImageUrl;
|
||
}
|
||
$textPrompt = $prompt . "\n\n以下是用户上传的图片链接，请一并参考进行分析：" . $links;
|
||
|
||
$headers = "Content-Type: application/json\r\nAuthorization: Bearer " . $apiKey . "\r\n";
|
||
|
||
// 1）创建会话（等价于 CozeAI::createConversation）
|
||
$convBody = [
|
||
'bot_id' => (string) $botId,
|
||
'name' => 'mbti-face-analyze',
|
||
];
|
||
$convUrl = rtrim($endpoint, '/') . '/conversation/create';
|
||
$convCtx = stream_context_create([
|
||
'http' => [
|
||
'method' => 'POST',
|
||
'header' => $headers,
|
||
'content' => json_encode($convBody, JSON_UNESCAPED_UNICODE),
|
||
'timeout' => 45,
|
||
],
|
||
]);
|
||
$convResp = @file_get_contents($convUrl, false, $convCtx);
|
||
if ($convResp === false) {
|
||
throw new \RuntimeException('Coze 创建会话失败');
|
||
}
|
||
$convData = json_decode($convResp, true);
|
||
$conversationId = $convData['data']['conversation_id'] ?? ($convData['data']['id'] ?? null);
|
||
if (empty($conversationId)) {
|
||
throw new \RuntimeException('Coze 会话 ID 获取失败');
|
||
}
|
||
|
||
// 2）在会话中发送聊天消息（等价于 CozeAI::createChat）
|
||
$body = [
|
||
'bot_id' => (string) $botId,
|
||
'user_id' => 'mbti-face-analyze',
|
||
'additional_messages' => [
|
||
[
|
||
'role' => 'user',
|
||
'content' => $textPrompt,
|
||
],
|
||
],
|
||
'stream' => false,
|
||
'auto_save_history' => true,
|
||
];
|
||
|
||
// v3 chat 接口：/v3/chat?conversation_id=...
|
||
$base = preg_replace('#/v1$#', '', rtrim($endpoint, '/'));
|
||
if (!$base) {
|
||
$base = 'https://api.coze.cn';
|
||
}
|
||
$chatUrl = rtrim($base, '/') . '/v3/chat?conversation_id=' . urlencode((string) $conversationId);
|
||
|
||
$ctx = stream_context_create([
|
||
'http' => [
|
||
'method' => 'POST',
|
||
'header' => $headers,
|
||
'content' => json_encode($body, JSON_UNESCAPED_UNICODE),
|
||
'timeout' => 45,
|
||
],
|
||
]);
|
||
|
||
$response = @file_get_contents($chatUrl, false, $ctx);
|
||
if ($response === false) {
|
||
throw new \RuntimeException('Coze 发送消息失败');
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
$chatId = $data['data']['id'] ?? ($data['data']['chat_id'] ?? null);
|
||
if (empty($chatId)) {
|
||
throw new \RuntimeException('Coze chat_id 获取失败');
|
||
}
|
||
|
||
// 3）轮询消息列表，直到拿到 assistant 回复或超时（等价于 listConversationMessage）
|
||
$msgUrl = rtrim($base, '/') . '/v3/chat/message/list?conversation_id='
|
||
. urlencode((string) $conversationId) . '&chat_id=' . urlencode((string) $chatId);
|
||
|
||
$text = '';
|
||
for ($i = 0; $i < 8; $i++) { // 最多轮询 ~4 秒
|
||
$msgCtx = stream_context_create([
|
||
'http' => [
|
||
'method' => 'GET',
|
||
'header' => $headers,
|
||
'timeout' => 30,
|
||
],
|
||
]);
|
||
$msgResp = @file_get_contents($msgUrl, false, $msgCtx);
|
||
if ($msgResp === false) {
|
||
usleep(500000);
|
||
continue;
|
||
}
|
||
$msgData = json_decode($msgResp, true);
|
||
if (!empty($msgData['data'])) {
|
||
$messages = $msgData['data']['messages'] ?? ($msgData['data'] ?? []);
|
||
if (is_array($messages)) {
|
||
foreach ($messages as $msg) {
|
||
if (($msg['role'] ?? '') === 'assistant' && !empty($msg['content'])) {
|
||
$text = is_string($msg['content']) ? $msg['content'] : ($msg['content'][0]['text'] ?? '');
|
||
break 2;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
// 未拿到回复，稍等再试
|
||
usleep(500000);
|
||
}
|
||
|
||
return $this->parseResultText($text);
|
||
}
|
||
|
||
/**
|
||
* Anthropic 调用：暂时走纯文本 Messages 接口
|
||
*/
|
||
private function callAnthropic(string $endpoint, string $apiKey, string $model, string $prompt): array
|
||
{
|
||
$body = [
|
||
'model' => $model,
|
||
'max_tokens' => 1024,
|
||
'messages' => [
|
||
[
|
||
'role' => 'user',
|
||
'content' => [
|
||
['type' => 'text', 'text' => $prompt],
|
||
],
|
||
],
|
||
],
|
||
];
|
||
|
||
$url = rtrim($endpoint, '/') . '/messages';
|
||
$ctx = stream_context_create([
|
||
'http' => [
|
||
'method' => 'POST',
|
||
'header' =>
|
||
"Content-Type: application/json\r\n"
|
||
. "x-api-key: " . $apiKey . "\r\n"
|
||
. "anthropic-version: 2023-06-01\r\n",
|
||
'content' => json_encode($body, JSON_UNESCAPED_UNICODE),
|
||
'timeout' => 45,
|
||
],
|
||
]);
|
||
|
||
$response = @file_get_contents($url, false, $ctx);
|
||
if ($response === false) {
|
||
throw new \RuntimeException('Anthropic 接口无响应');
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
$text = '';
|
||
if (!empty($data['content']) && is_array($data['content'])) {
|
||
foreach ($data['content'] as $block) {
|
||
if (($block['type'] ?? '') === 'text' && !empty($block['text'])) {
|
||
$text .= $block['text'];
|
||
}
|
||
}
|
||
}
|
||
|
||
return $this->parseResultText($text);
|
||
}
|
||
|
||
/**
|
||
* 从 LLM 文本中提取 JSON 并规范化为统一结构
|
||
*/
|
||
private function parseResultText(string $text): array
|
||
{
|
||
if (empty($text)) {
|
||
throw new \RuntimeException('AI 返回内容为空，无法解析结果');
|
||
}
|
||
|
||
$text = trim($text);
|
||
if (preg_match('/\{[\s\S]*\}/', $text, $m)) {
|
||
$parsed = json_decode($m[0], true);
|
||
if (is_array($parsed)) {
|
||
// AI 明确表示未检测到人脸
|
||
if (isset($parsed['hasFace']) && $parsed['hasFace'] === false) {
|
||
return ['_noFace' => true];
|
||
}
|
||
return $this->normalizeResult($parsed);
|
||
}
|
||
}
|
||
|
||
throw new \RuntimeException('AI 返回内容格式无法解析');
|
||
}
|
||
|
||
private function normalizeResult(array $p): array
|
||
{
|
||
$mbti = $p['mbti'] ?? '';
|
||
|
||
// faceAnalysis / boneAnalysis 统一作为字符串处理
|
||
$faceAnalysis = isset($p['faceAnalysis']) ? (is_string($p['faceAnalysis']) ? $p['faceAnalysis'] : json_encode($p['faceAnalysis'], JSON_UNESCAPED_UNICODE)) : null;
|
||
$boneAnalysis = isset($p['boneAnalysis']) ? (is_string($p['boneAnalysis']) ? $p['boneAnalysis'] : json_encode($p['boneAnalysis'], JSON_UNESCAPED_UNICODE)) : null;
|
||
|
||
// advantages 兼容数组与字符串
|
||
$advantages = [];
|
||
if (!empty($p['advantages'])) {
|
||
if (is_array($p['advantages'])) {
|
||
$advantages = $p['advantages'];
|
||
} elseif (is_string($p['advantages'])) {
|
||
$advantages = array_filter(array_map('trim', explode('、', $p['advantages'])));
|
||
$advantages = array_values($advantages);
|
||
}
|
||
}
|
||
|
||
// gallupTop3 兼容数组与字符串
|
||
$gallupTop3 = [];
|
||
if (!empty($p['gallupTop3'])) {
|
||
if (is_array($p['gallupTop3'])) {
|
||
$gallupTop3 = $p['gallupTop3'];
|
||
} elseif (is_string($p['gallupTop3'])) {
|
||
$gallupTop3 = array_filter(array_map('trim', explode('、', $p['gallupTop3'])));
|
||
$gallupTop3 = array_values($gallupTop3);
|
||
}
|
||
}
|
||
|
||
// 清洗 pdp/pdpAux：AI 有时返回 "主性格：猫头鹰" 形式，去掉冒号前缀
|
||
$cleanPdp = function (string $v): string {
|
||
// 去掉 "主性格：" "辅性格：" 等前缀
|
||
$v = preg_replace('/^[^：:]*[：:]\s*/', '', trim($v));
|
||
return $v;
|
||
};
|
||
$pdpPrimary = $cleanPdp((string) ($p['pdp'] ?? ''));
|
||
$pdpSecondary = $cleanPdp((string) ($p['pdpAux'] ?? ''));
|
||
|
||
// DISC 只取首个大写字母
|
||
$discPrimary = strtoupper(preg_replace('/[^DISC]/', '', strtoupper($p['disc'] ?? '')))[0] ?? '';
|
||
$discSecondary = isset($p['discAux']) ? (strtoupper(preg_replace('/[^DISC]/', '', strtoupper($p['discAux'] ?? '')))[0] ?? '') : '';
|
||
|
||
$result = [
|
||
'mbti' => [
|
||
'type' => $mbti,
|
||
'title' => $this->mbtiTitle($mbti),
|
||
],
|
||
'pdp' => [
|
||
'primary' => $pdpPrimary,
|
||
'secondary' => $pdpSecondary,
|
||
],
|
||
'disc' => [
|
||
'primary' => $discPrimary,
|
||
'secondary' => $discSecondary,
|
||
],
|
||
'advantages' => $advantages,
|
||
'overview' => $p['overview'] ?? '',
|
||
'faceAnalysis' => $faceAnalysis,
|
||
'boneAnalysis' => $boneAnalysis,
|
||
'personalitySummary' => $p['personalitySummary'] ?? '',
|
||
'relationship' => $p['relationship'] ?? '',
|
||
'gallupTop3' => $gallupTop3,
|
||
];
|
||
|
||
// 企业版额外字段：AI 返回则透传，未返回则不输出
|
||
if (!empty($p['portrait'])) {
|
||
$result['portrait'] = $p['portrait'];
|
||
}
|
||
if (!empty($p['hrView'])) {
|
||
$result['hrView'] = $p['hrView'];
|
||
}
|
||
if (!empty($p['bossView'])) {
|
||
$result['bossView'] = $p['bossView'];
|
||
}
|
||
if (isset($p['resumeHighlights']) && $p['resumeHighlights'] !== '') {
|
||
$result['resumeHighlights'] = $p['resumeHighlights'];
|
||
}
|
||
|
||
return $result;
|
||
}
|
||
|
||
private function mbtiTitle(string $type): string
|
||
{
|
||
$titles = [
|
||
'INTJ' => '战略家', 'INTP' => '逻辑学家', 'ENTJ' => '指挥官', 'ENTP' => '辩论家',
|
||
'INFJ' => '提倡者', 'INFP' => '调停者', 'ENFJ' => '主人公', 'ENFP' => '竞选者',
|
||
'ISTJ' => '物流师', 'ISFJ' => '守卫者', 'ESTJ' => '总经理', 'ESFJ' => '执政官',
|
||
'ISTP' => '鉴赏家', 'ISFP' => '探险家', 'ESTP' => '企业家', 'ESFP' => '表演者',
|
||
];
|
||
return $titles[strtoupper($type)] ?? '战略家';
|
||
}
|
||
|
||
/**
|
||
* 前置人脸检测：将全部图片一次性发给 AI，判断是否每张都包含人脸。
|
||
* - max_tokens=20，只需 YES/NO，极低费用
|
||
* - 任何网络/解析异常均视为"有人脸"（fail-safe），避免误拦截
|
||
* - Coze 调用链路复杂，跳过前置检测，依赖主分析中的 hasFace 字段
|
||
*
|
||
* @param array $photoUrls 上传的图片 URL 数组（最多3张）
|
||
* @return bool true=有人脸可继续分析，false=无人脸需拒绝
|
||
*/
|
||
private function quickFaceCheck(array $photoUrls, $provider, string $apiKey): bool
|
||
{
|
||
$providerId = strtolower($provider->providerId ?? '');
|
||
|
||
// Coze 需要创建会话，成本过高，跳过前置检测
|
||
if ($providerId === 'coze') {
|
||
return true;
|
||
}
|
||
|
||
$endpoint = !empty($provider->apiEndpoint) ? rtrim($provider->apiEndpoint, '/') : null;
|
||
$model = $provider->model ?? 'gpt-4o-mini';
|
||
|
||
if (empty($endpoint)) {
|
||
switch ($providerId) {
|
||
case 'openai': $endpoint = 'https://api.openai.com/v1'; break;
|
||
case 'groq': $endpoint = 'https://api.groq.com/openai/v1'; break;
|
||
case 'deepseek': $endpoint = 'https://api.deepseek.com/v1'; break;
|
||
case 'moonshot': $endpoint = 'https://api.moonshot.ai/v1'; break;
|
||
case 'qwen': $endpoint = 'https://dashscope.aliyuncs.com/compatible-mode/v1'; break;
|
||
case 'anthropic': $endpoint = 'https://api.anthropic.com/v1'; break;
|
||
case 'zhipu': $endpoint = 'https://api.z.ai/api/paas/v4'; break;
|
||
case 'zhizengzeng': $endpoint = 'https://api.zhizengzeng.com/v1'; break;
|
||
default: return true; // 未知服务商，放行
|
||
}
|
||
}
|
||
|
||
$count = count($photoUrls);
|
||
$prompt = "以下 {$count} 张图片中是否每张都包含清晰可见的人脸？只回答 YES 或 NO，不要其他文字。";
|
||
|
||
try {
|
||
if ($providerId === 'anthropic') {
|
||
$text = $this->quickCallAnthropic($endpoint, $apiKey, $model, $prompt, $photoUrls);
|
||
} else {
|
||
$text = $this->quickCallOpenAICompatible($endpoint, $apiKey, $model, $prompt, $photoUrls, $providerId);
|
||
}
|
||
|
||
if (empty($text)) {
|
||
return true; // 无法解析时放行
|
||
}
|
||
|
||
$upper = strtoupper(trim($text));
|
||
// 明确回答 NO 才拦截；YES / 含 YES 的句子 / 无法判断 → 放行
|
||
return strpos($upper, 'NO') === false || strpos($upper, 'YES') !== false;
|
||
} catch (\Throwable $e) {
|
||
return true; // 异常时放行，不影响正常业务
|
||
}
|
||
}
|
||
|
||
/** 用于前置检测的 OpenAI 兼容接口（max_tokens=20，支持多图） */
|
||
private function quickCallOpenAICompatible(
|
||
string $endpoint, string $apiKey, string $model,
|
||
string $prompt, array $photoUrls, string $providerId
|
||
): string {
|
||
$content = [['type' => 'text', 'text' => $prompt]];
|
||
foreach (array_slice($photoUrls, 0, 3) as $url) {
|
||
$content[] = ['type' => 'image_url', 'image_url' => ['url' => $url]];
|
||
}
|
||
|
||
$body = [
|
||
'model' => $model,
|
||
'messages' => [['role' => 'user', 'content' => $content]],
|
||
];
|
||
|
||
if (strpos($endpoint, 'api.zhizengzeng.com') !== false) {
|
||
$body['max_completion_tokens'] = 20;
|
||
} else {
|
||
$body['max_tokens'] = 20;
|
||
}
|
||
|
||
$url = rtrim($endpoint, '/') . '/chat/completions';
|
||
$headers = setHeader([], $apiKey, 'json');
|
||
$response = requestCurl($url, $body, 'POST', $headers, 'json');
|
||
|
||
if (empty($response)) {
|
||
return '';
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
return $data['choices'][0]['message']['content'] ?? '';
|
||
}
|
||
|
||
/** 用于前置检测的 Anthropic Messages 接口（max_tokens=20，支持多图） */
|
||
private function quickCallAnthropic(
|
||
string $endpoint, string $apiKey, string $model,
|
||
string $prompt, array $photoUrls
|
||
): string {
|
||
$content = [['type' => 'text', 'text' => $prompt]];
|
||
foreach (array_slice($photoUrls, 0, 3) as $url) {
|
||
$content[] = ['type' => 'image', 'source' => ['type' => 'url', 'url' => $url]];
|
||
}
|
||
|
||
$body = [
|
||
'model' => $model,
|
||
'max_tokens' => 20,
|
||
'messages' => [['role' => 'user', 'content' => $content]],
|
||
];
|
||
|
||
$url = rtrim($endpoint, '/') . '/messages';
|
||
$ctx = stream_context_create([
|
||
'http' => [
|
||
'method' => 'POST',
|
||
'header' =>
|
||
"Content-Type: application/json\r\n"
|
||
. "x-api-key: {$apiKey}\r\n"
|
||
. "anthropic-version: 2023-06-01\r\n",
|
||
'content' => json_encode($body, JSON_UNESCAPED_UNICODE),
|
||
'timeout' => 15,
|
||
],
|
||
]);
|
||
|
||
$response = @file_get_contents($url, false, $ctx);
|
||
if ($response === false) {
|
||
return '';
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
$text = '';
|
||
foreach (($data['content'] ?? []) as $block) {
|
||
if (($block['type'] ?? '') === 'text') {
|
||
$text .= $block['text'];
|
||
}
|
||
}
|
||
return $text;
|
||
}
|
||
|
||
/**
|
||
* 根据定价配置返回该测试类型是否需要付费才显示完整报告
|
||
* 直接读取 mbti_pricing_config 的个人版配置：价格 > 0 视为需要付费
|
||
*/
|
||
private function getRequiresPaymentByTestType(string $testType): int
|
||
{
|
||
$amountFen = $this->getStandardAmountByTestType($testType);
|
||
return $amountFen > 0 ? 1 : 0;
|
||
}
|
||
|
||
/**
|
||
* 获取某测试类型当前配置的标准单价（单位：分）
|
||
* - $enterpriseId 非空 → 企业测试，走 admin_enterprise 定价
|
||
* - $enterpriseId 为 null → 个人测试，走 admin_personal + $pricingEnterpriseId 定价
|
||
* - $pricingEnterpriseId 非空：用户绑定企业，优先读该企业管理员配置的个人版价
|
||
* - $pricingEnterpriseId 为 null：未绑定企业，读超管全局个人版价
|
||
*/
|
||
private function getStandardAmountByTestType(string $testType, ?int $enterpriseId = null, ?int $pricingEnterpriseId = null): int
|
||
{
|
||
$pricingConfig = $enterpriseId !== null && $enterpriseId > 0
|
||
? PricingConfigModel::getByTypeAndEnterprise('enterprise', $enterpriseId)
|
||
: PricingConfigModel::getByTypeAndEnterprise('personal', $pricingEnterpriseId);
|
||
if (!$pricingConfig || empty($pricingConfig->config)) {
|
||
return 0;
|
||
}
|
||
|
||
$rawConfig = $pricingConfig->config;
|
||
$pricing = is_array($rawConfig) ? $rawConfig : (array) $rawConfig;
|
||
|
||
$keyMap = ['team_analysis' => 'teamAnalysis'];
|
||
$key = $keyMap[$testType] ?? $testType;
|
||
if (!isset($pricing[$key])) {
|
||
return 0;
|
||
}
|
||
|
||
$unitYuan = (float) $pricing[$key];
|
||
return $unitYuan > 0 ? (int) round($unitYuan * 100) : 0;
|
||
}
|
||
}
|