680 lines
26 KiB
PHP
680 lines
26 KiB
PHP
<?php
|
||
namespace app\common\service;
|
||
|
||
use app\model\AiProvider as AiProviderModel;
|
||
use think\facade\Db;
|
||
use think\facade\Log;
|
||
|
||
/**
|
||
* 神仙 AI · 统一对话调用服务
|
||
*
|
||
* 能力：
|
||
* 1. 自动按 sortWeight / id 升序挑选可用服务商
|
||
* 2. 余额低于阈值的服务商自动降权沉底
|
||
* 3. 故障自动切换（429/401/402/5xx/解析错误）
|
||
* 4. 支持 OpenAI 兼容 / Anthropic 两类协议
|
||
* 5. 全部失败返回降级兜底回答，**不抛给前端**
|
||
*
|
||
* 典型用法：
|
||
* $r = AiCallService::chat([
|
||
* ['role'=>'system','content'=>'你是…'],
|
||
* ['role'=>'user','content'=>'我是 INFP，今天压力大'],
|
||
* ]);
|
||
* // => ['content'=>'...', 'providerId'=>'deepseek', 'isDegraded'=>false]
|
||
*/
|
||
class AiCallService
|
||
{
|
||
/**
|
||
* 对话入口
|
||
*
|
||
* @param array $messages OpenAI messages 格式
|
||
* @param array $options ['temperature'=>0.7, 'maxTokens'=>2048, 'stream'=>false]
|
||
* @return array ['content'=>string, 'providerId'=>string, 'isDegraded'=>bool, 'tokensIn'=>int, 'tokensOut'=>int]
|
||
*/
|
||
public static function chat(array $messages, array $options = []): array
|
||
{
|
||
$maxTokens = (int) ($options['maxTokens'] ?? 2048);
|
||
$temperature = isset($options['temperature']) ? (float) $options['temperature'] : 0.7;
|
||
|
||
$providers = self::resolveProviders();
|
||
if (empty($providers)) {
|
||
return self::degrade('no-provider', '小神仙在喝茶呢，超管还没配置好法力，稍后再来找我呀～');
|
||
}
|
||
|
||
$lastError = '';
|
||
foreach ($providers as $provider) {
|
||
$providerId = strtolower((string) ($provider->providerId ?? ''));
|
||
$apiKey = $provider->getRawApiKey();
|
||
if ($apiKey === '') {
|
||
continue;
|
||
}
|
||
|
||
$endpoint = self::resolveEndpoint($provider);
|
||
$model = !empty($provider->model) ? $provider->model : self::defaultModel($providerId);
|
||
|
||
try {
|
||
if ($providerId === 'anthropic') {
|
||
$content = self::callAnthropic($endpoint, $apiKey, $model, $messages, $maxTokens);
|
||
} else {
|
||
// openai / deepseek / moonshot / qwen / zhipu / zhizengzeng / groq 等
|
||
$content = self::callOpenAICompatible($endpoint, $apiKey, $model, $messages, $maxTokens, $temperature);
|
||
}
|
||
|
||
if ($content === '') {
|
||
$lastError = "provider={$providerId} empty-content";
|
||
continue;
|
||
}
|
||
|
||
return [
|
||
'content' => $content,
|
||
'providerId' => $providerId,
|
||
'model' => $model,
|
||
'isDegraded' => false,
|
||
'tokensIn' => 0, // 各家返回字段不一，留空（可二期补 usage）
|
||
'tokensOut' => 0,
|
||
];
|
||
} catch (\Throwable $e) {
|
||
$lastError = "provider={$providerId} error=" . $e->getMessage();
|
||
Log::warning('AiCallService chat fallback: ' . $lastError);
|
||
// 遇到明显欠费/鉴权类错误，给该服务商的余额打低权重沉底
|
||
if (self::looksLikeBillingError($e->getMessage())) {
|
||
try {
|
||
$provider->sortWeight = 999;
|
||
$provider->save();
|
||
} catch (\Throwable $ignore) {}
|
||
}
|
||
continue;
|
||
}
|
||
}
|
||
|
||
return self::degrade('all-failed', '小神仙暂时联系不上天界了（' . $lastError . '），工程师已收到告警，请稍后再试 🌿');
|
||
}
|
||
|
||
/**
|
||
* 选出可用服务商列表（按 sortWeight 升序、余额不足的沉底）
|
||
* @return AiProviderModel[]
|
||
*/
|
||
private static function resolveProviders(): array
|
||
{
|
||
$all = AiProviderModel::where('enabled', 1)
|
||
->whereRaw('(visible IS NULL OR visible = 1)')
|
||
->whereRaw('(apiKey IS NOT NULL AND LENGTH(TRIM(apiKey)) > 0)')
|
||
->order('sortWeight', 'asc')
|
||
->order('id', 'asc')
|
||
->select()
|
||
->toArray();
|
||
|
||
if (empty($all)) {
|
||
return [];
|
||
}
|
||
|
||
// 把「余额低于阈值」的服务商排到队尾
|
||
$healthy = [];
|
||
$depleted = [];
|
||
foreach ($all as $row) {
|
||
$provider = AiProviderModel::where('id', $row['id'])->find();
|
||
if (!$provider) continue;
|
||
|
||
$isLowBalance = $provider->balanceAlertEnabled == 1
|
||
&& $provider->lastBalance !== null
|
||
&& $provider->lastBalance <= (float) ($provider->balanceAlertThreshold ?? 0);
|
||
|
||
if ($isLowBalance) {
|
||
$depleted[] = $provider;
|
||
} else {
|
||
$healthy[] = $provider;
|
||
}
|
||
}
|
||
|
||
return array_merge($healthy, $depleted);
|
||
}
|
||
|
||
/**
|
||
* 与 POST /api/ai/chat 相同的第一优先服务商（sortWeight 升序 + 余额预警沉底）。
|
||
* 面相 POST /api/analyze、简历分析等应与此一致，保证密钥、线路、优先级与神仙 AI 对齐。
|
||
*
|
||
* @return AiProviderModel|null
|
||
*/
|
||
public static function firstOrderedProvider(): ?AiProviderModel
|
||
{
|
||
$list = self::resolveProviders();
|
||
|
||
return $list[0] ?? null;
|
||
}
|
||
|
||
private static function resolveEndpoint($provider): string
|
||
{
|
||
$endpoint = !empty($provider->apiEndpoint) ? rtrim($provider->apiEndpoint, '/') : '';
|
||
if ($endpoint !== '') return $endpoint;
|
||
return self::defaultEndpoint(strtolower((string) $provider->providerId));
|
||
}
|
||
|
||
private static function defaultEndpoint(string $providerId): string
|
||
{
|
||
switch ($providerId) {
|
||
case 'openai': return 'https://api.openai.com/v1';
|
||
case 'groq': return 'https://api.groq.com/openai/v1';
|
||
case 'deepseek': return 'https://api.deepseek.com/v1';
|
||
case 'moonshot': return 'https://api.moonshot.ai/v1';
|
||
case 'qwen': return 'https://dashscope.aliyuncs.com/compatible-mode/v1';
|
||
case 'anthropic': return 'https://api.anthropic.com/v1';
|
||
case 'zhipu': return 'https://api.z.ai/api/paas/v4';
|
||
case 'zhizengzeng': return 'https://api.zhizengzeng.com/v1';
|
||
default: return 'https://api.openai.com/v1';
|
||
}
|
||
}
|
||
|
||
private static function defaultModel(string $providerId): string
|
||
{
|
||
switch ($providerId) {
|
||
case 'deepseek': return 'deepseek-chat';
|
||
case 'moonshot': return 'moonshot-v1-8k';
|
||
case 'qwen': return 'qwen-turbo';
|
||
case 'zhipu': return 'glm-4-flash';
|
||
case 'anthropic': return 'claude-3-5-haiku-latest';
|
||
case 'groq': return 'llama-3.1-70b-versatile';
|
||
default: return 'gpt-4o-mini';
|
||
}
|
||
}
|
||
|
||
/**
|
||
* OpenAI 兼容协议（deepseek / moonshot / qwen / zhipu / zhizengzeng / groq / openai…）
|
||
*/
|
||
private static function callOpenAICompatible(string $endpoint, string $apiKey, string $model, array $messages, int $maxTokens, float $temperature): string
|
||
{
|
||
$body = [
|
||
'model' => $model,
|
||
'messages' => $messages,
|
||
'temperature' => $temperature,
|
||
];
|
||
|
||
if (strpos($endpoint, 'api.zhizengzeng.com') !== false) {
|
||
$body['max_completion_tokens'] = $maxTokens;
|
||
} else {
|
||
$body['max_tokens'] = $maxTokens;
|
||
}
|
||
|
||
$url = rtrim($endpoint, '/') . '/chat/completions';
|
||
$payload = json_encode($body, JSON_UNESCAPED_UNICODE);
|
||
|
||
$ch = curl_init($url);
|
||
curl_setopt_array($ch, [
|
||
CURLOPT_RETURNTRANSFER => true,
|
||
// 异步任务在 shutdown 中执行时可等待更久；同步面相等场景亦避免慢模型被 60s 截断
|
||
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);
|
||
$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
|
||
$curlErrNo = curl_errno($ch);
|
||
$curlError = curl_error($ch);
|
||
curl_close($ch);
|
||
|
||
if ($response === false || $response === '') {
|
||
throw new \RuntimeException("curl-failed code={$curlErrNo} msg={$curlError}");
|
||
}
|
||
|
||
if ($httpCode >= 400) {
|
||
throw new \RuntimeException("http-{$httpCode}: " . substr((string) $response, 0, 400));
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
if (!is_array($data)) {
|
||
throw new \RuntimeException('invalid-json');
|
||
}
|
||
|
||
if (!empty($data['error'])) {
|
||
$errMsg = is_array($data['error']) ? ($data['error']['message'] ?? json_encode($data['error'])) : (string) $data['error'];
|
||
throw new \RuntimeException('api-error: ' . $errMsg);
|
||
}
|
||
|
||
$text = $data['choices'][0]['message']['content'] ?? '';
|
||
return trim((string) $text);
|
||
}
|
||
|
||
/**
|
||
* Anthropic Messages 协议
|
||
*/
|
||
private static function callAnthropic(string $endpoint, string $apiKey, string $model, array $messages, int $maxTokens): string
|
||
{
|
||
// Anthropic 需要单独传 system，messages 只接受 user/assistant
|
||
$system = '';
|
||
$userMessages = [];
|
||
foreach ($messages as $m) {
|
||
if (($m['role'] ?? '') === 'system') {
|
||
$system .= "\n" . ($m['content'] ?? '');
|
||
} else {
|
||
$userMessages[] = [
|
||
'role' => $m['role'] ?? 'user',
|
||
'content' => [['type' => 'text', 'text' => (string) ($m['content'] ?? '')]],
|
||
];
|
||
}
|
||
}
|
||
|
||
$body = [
|
||
'model' => $model,
|
||
'max_tokens' => $maxTokens,
|
||
'messages' => $userMessages,
|
||
];
|
||
if (trim($system) !== '') {
|
||
$body['system'] = trim($system);
|
||
}
|
||
|
||
$url = rtrim($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);
|
||
$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
|
||
curl_close($ch);
|
||
|
||
if ($response === false || $response === '') {
|
||
throw new \RuntimeException('anthropic-no-response');
|
||
}
|
||
if ($httpCode >= 400) {
|
||
throw new \RuntimeException("http-{$httpCode}: " . substr((string) $response, 0, 400));
|
||
}
|
||
|
||
$data = json_decode($response, true);
|
||
$text = '';
|
||
if (!empty($data['content']) && is_array($data['content'])) {
|
||
foreach ($data['content'] as $block) {
|
||
if (($block['type'] ?? '') === 'text') {
|
||
$text .= (string) ($block['text'] ?? '');
|
||
}
|
||
}
|
||
}
|
||
return trim($text);
|
||
}
|
||
|
||
/**
|
||
* 常见欠费/鉴权类错误关键字 → 触发降权
|
||
*/
|
||
private static function looksLikeBillingError(string $msg): bool
|
||
{
|
||
$lower = strtolower($msg);
|
||
foreach (['insufficient', 'balance', 'quota', 'rate_limit', '402', '429', 'unauthorized', '401'] as $kw) {
|
||
if (strpos($lower, $kw) !== false) return true;
|
||
}
|
||
return false;
|
||
}
|
||
|
||
private static function degrade(string $reason, string $content): array
|
||
{
|
||
Log::warning('AiCallService degraded: ' . $reason);
|
||
return [
|
||
'content' => $content,
|
||
'providerId' => 'degrade',
|
||
'model' => '',
|
||
'isDegraded' => true,
|
||
'tokensIn' => 0,
|
||
'tokensOut' => 0,
|
||
];
|
||
}
|
||
|
||
/**
|
||
* 构造针对某用户的 system prompt（结合 MBTI 类型 + 画像）
|
||
*/
|
||
public static function buildSystemPrompt(array $userContext): string
|
||
{
|
||
$mbtiType = trim((string) ($userContext['mbtiType'] ?? ''));
|
||
$summary = trim((string) ($userContext['summary'] ?? ''));
|
||
$nickname = trim((string) ($userContext['nickname'] ?? ''));
|
||
|
||
$prompt = "你是「神仙 AI」，微信小程序里的性格与成长助手。你必须**直接生成**对当前这条消息的回答，禁止套用固定模板或预置长文案。\n";
|
||
$prompt .= "【语气】像真人深聊：完整、通顺的句子；先接住对方的问题或情绪，再展开；有轻有重、有节奏，不要电报式短句堆砌。口语自然，但保持可读与分寸，像值得信赖的朋友。**禁止**「作为 AI」「根据您的问题」等机械开场，**禁止**元叙述（解释自己怎么回答、用什么结构）。\n";
|
||
$prompt .= "**禁止**在正文里提及任何「回复格式名」「模式名」「版本代号」或类似自报（含 Human、HUMAN、3.0、秋门等谐音或变体）；只自然说话，不要标签。\n";
|
||
$prompt .= "第一句就要切入正题；分段清晰；单次回复以 180～380 字为宜（用户明确要求更长时再略增）。不堆砌术语。\n";
|
||
$prompt .= "【时效】用户端网络请求约 60 秒内必须结束：请优先完整答完当前问题，避免冗长铺垫，以免用户看到超时错误。\n";
|
||
$prompt .= "【重要】下方「测评档案」仅供你理解用户背景：**禁止**把档案整段抄给用户、**禁止**逐条罗列题号或问卷选项。\n";
|
||
$prompt .= "**禁止**以 #、@、「我是xxx」、括号人设、运营标签或任何签名行开场；**禁止**自称/提及「卡若」或类似第三方运营人设；**禁止**编造「几点起床」等噱头头衔。**禁止**主动插入公众号、外链或营销话术；用户若问起其他测评，用一句话带过即可。\n";
|
||
$prompt .= "禁止：医疗诊断、政治敏感、具体投资建议。\n";
|
||
if ($nickname !== '') {
|
||
$prompt .= "可偶尔称呼用户「{$nickname}」。\n";
|
||
}
|
||
if ($mbtiType !== '') {
|
||
$prompt .= "已知 MBTI：{$mbtiType}，请结合类型作答。\n";
|
||
} else {
|
||
$prompt .= "用户可能尚未测 MBTI；可温和建议先完成站内测评。\n";
|
||
}
|
||
if ($summary !== '') {
|
||
$prompt .= "性格摘要（勿照抄，仅作理解）：{$summary}\n";
|
||
}
|
||
|
||
$appendix = trim((string) ($userContext['testAppendix'] ?? ''));
|
||
if ($appendix !== '') {
|
||
$prompt .= "\n【测评档案·内部参考】\n";
|
||
$prompt .= $appendix . "\n";
|
||
}
|
||
|
||
return $prompt;
|
||
}
|
||
|
||
/**
|
||
* 拉取用户 MBTI 画像（轻量：不含测评附录，供快捷问句/runtime 嵌入等避免重型查询与异常导致 500）
|
||
*/
|
||
public static function fetchUserContextLight(int $userId): array
|
||
{
|
||
$empty = ['mbtiType' => '', 'summary' => '', 'nickname' => '', 'testAppendix' => ''];
|
||
if ($userId <= 0) {
|
||
return $empty;
|
||
}
|
||
|
||
try {
|
||
$nickname = (string) Db::name('wechat_users')->where('id', $userId)->value('nickname');
|
||
|
||
$mbtiType = '';
|
||
$summary = '';
|
||
$row = Db::name('test_results')
|
||
->where('userId', $userId)
|
||
->where('testType', 'mbti')
|
||
->order('id', 'desc')
|
||
->find();
|
||
if ($row && !empty($row['resultData'])) {
|
||
$data = is_string($row['resultData']) ? json_decode($row['resultData'], true) : $row['resultData'];
|
||
if (is_array($data)) {
|
||
$mbtiType = (string) ($data['mbtiType'] ?? ($data['mbti']['type'] ?? ''));
|
||
if (!empty($data['description']['summary'])) {
|
||
$summary = (string) $data['description']['summary'];
|
||
} elseif (!empty($data['description']['overview'])) {
|
||
$summary = (string) $data['description']['overview'];
|
||
}
|
||
}
|
||
}
|
||
|
||
if ($mbtiType === '') {
|
||
$faceRow = Db::name('test_results')
|
||
->where('userId', $userId)
|
||
->where('testType', 'face')
|
||
->order('id', 'desc')
|
||
->find();
|
||
if ($faceRow && !empty($faceRow['resultData'])) {
|
||
$data = is_string($faceRow['resultData']) ? json_decode($faceRow['resultData'], true) : $faceRow['resultData'];
|
||
if (is_array($data) && isset($data['mbti']['type'])) {
|
||
$mbtiType = (string) $data['mbti']['type'];
|
||
$summary = (string) ($data['personalitySummary'] ?? ($data['overview'] ?? ''));
|
||
}
|
||
}
|
||
}
|
||
|
||
return [
|
||
'mbtiType' => $mbtiType,
|
||
'summary' => $summary,
|
||
'nickname' => $nickname,
|
||
'testAppendix' => '',
|
||
];
|
||
} catch (\Throwable $e) {
|
||
Log::warning('fetchUserContextLight: ' . $e->getMessage());
|
||
|
||
return $empty;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 拉取用户 MBTI 画像（最近一次 test_results 结果）
|
||
*/
|
||
public static function fetchUserContext(int $userId): array
|
||
{
|
||
$base = self::fetchUserContextLight($userId);
|
||
if ($userId <= 0) {
|
||
return $base;
|
||
}
|
||
|
||
$testAppendix = '';
|
||
try {
|
||
// 对话场景不传逐题选项，避免模型照抄冗长问卷，仍走真实模型与类型/得分摘要
|
||
$testAppendix = self::buildLatestTestsAppendix($userId, false);
|
||
} catch (\Throwable $e) {
|
||
Log::warning('fetchUserContext buildLatestTestsAppendix: ' . $e->getMessage());
|
||
}
|
||
|
||
$base['testAppendix'] = $testAppendix;
|
||
|
||
return $base;
|
||
}
|
||
|
||
/**
|
||
* 汇总用户最近一次各类型测评结果，供 system prompt 使用（有长度上限）
|
||
*
|
||
* @param bool $includeAnswerDetail 为 true 时附带逐题选项（仅排查/特殊场景；对话默认 false）
|
||
*/
|
||
private static function buildLatestTestsAppendix(int $userId, bool $includeAnswerDetail = false): string
|
||
{
|
||
$types = ['mbti', 'sbti', 'disc', 'pdp'];
|
||
$blocks = [];
|
||
foreach ($types as $type) {
|
||
$row = Db::name('test_results')
|
||
->where('userId', $userId)
|
||
->where('testType', $type)
|
||
->order('id', 'desc')
|
||
->find();
|
||
if (!$row || empty($row['resultData'])) {
|
||
continue;
|
||
}
|
||
$data = is_string($row['resultData']) ? json_decode($row['resultData'], true) : $row['resultData'];
|
||
if (!is_array($data)) {
|
||
continue;
|
||
}
|
||
$block = self::formatTestBlockForPrompt($type, $data, $includeAnswerDetail);
|
||
if ($block !== '') {
|
||
$blocks[] = $block;
|
||
}
|
||
}
|
||
$text = implode("\n——\n", $blocks);
|
||
if ($text === '') {
|
||
return '';
|
||
}
|
||
$maxLen = 2800;
|
||
if (mb_strlen($text, 'UTF-8') > $maxLen) {
|
||
$text = mb_substr($text, 0, $maxLen, 'UTF-8') . '…（档案已截断）';
|
||
}
|
||
return $text;
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed> $data
|
||
*/
|
||
private static function formatTestBlockForPrompt(string $testType, array $data, bool $includeAnswerDetail = false): string
|
||
{
|
||
switch ($testType) {
|
||
case 'mbti':
|
||
return self::formatMbtiBlockForPrompt($data, $includeAnswerDetail);
|
||
case 'sbti':
|
||
return self::formatSbtiBlockForPrompt($data, $includeAnswerDetail);
|
||
case 'disc':
|
||
return self::formatDiscBlockForPrompt($data, $includeAnswerDetail);
|
||
case 'pdp':
|
||
return self::formatPdpBlockForPrompt($data, $includeAnswerDetail);
|
||
default:
|
||
return '';
|
||
}
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed>|null $answers
|
||
*/
|
||
private static function formatAnswersCompact(?array $answers): string
|
||
{
|
||
if (!is_array($answers) || $answers === []) {
|
||
return '';
|
||
}
|
||
$keys = array_keys($answers);
|
||
sort($keys, SORT_NATURAL);
|
||
$parts = [];
|
||
foreach ($keys as $k) {
|
||
$v = $answers[$k];
|
||
if (is_array($v) || is_object($v)) {
|
||
$v = json_encode($v, JSON_UNESCAPED_UNICODE);
|
||
}
|
||
$parts[] = (string) $k . '→' . (string) $v;
|
||
if (count($parts) >= 100) {
|
||
$parts[] = '…共' . count($keys) . '题';
|
||
break;
|
||
}
|
||
}
|
||
return implode('，', $parts);
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed> $data
|
||
*/
|
||
private static function formatMbtiBlockForPrompt(array $data, bool $includeAnswerDetail = false): string
|
||
{
|
||
$lines = ['【MBTI·最近一次】'];
|
||
$type = (string) ($data['mbtiType'] ?? ($data['mbti']['type'] ?? ''));
|
||
if ($type !== '') {
|
||
$lines[] = '类型：' . $type;
|
||
}
|
||
if (isset($data['confidence'])) {
|
||
$lines[] = '置信度：' . (int) $data['confidence'] . '%';
|
||
}
|
||
if (!empty($data['dimensionScores']) && is_array($data['dimensionScores'])) {
|
||
$lines[] = '四轴：' . json_encode($data['dimensionScores'], JSON_UNESCAPED_UNICODE);
|
||
}
|
||
if (!empty($data['scores']) && is_array($data['scores'])) {
|
||
$lines[] = '字母计数：' . json_encode($data['scores'], JSON_UNESCAPED_UNICODE);
|
||
}
|
||
if ($includeAnswerDetail) {
|
||
$ans = self::formatAnswersCompact(isset($data['answers']) && is_array($data['answers']) ? $data['answers'] : null);
|
||
if ($ans !== '') {
|
||
$lines[] = '逐题选项（题号/ID→所选）：' . $ans;
|
||
}
|
||
}
|
||
return implode("\n", $lines);
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed> $data
|
||
*/
|
||
private static function formatSbtiBlockForPrompt(array $data, bool $includeAnswerDetail = false): string
|
||
{
|
||
$lines = ['【SBTI·最近一次】'];
|
||
$final = $data['finalType'] ?? null;
|
||
$fcode = is_array($final) ? (string) ($final['code'] ?? '') : '';
|
||
$code = (string) ($data['sbtiType'] ?? $fcode);
|
||
if ($code !== '') {
|
||
$lines[] = '类型代码：' . $code;
|
||
}
|
||
if (!empty($data['special'])) {
|
||
$lines[] = '特殊标记：' . json_encode($data['special'], JSON_UNESCAPED_UNICODE);
|
||
}
|
||
if ($includeAnswerDetail) {
|
||
$ans = self::formatAnswersCompact(isset($data['answers']) && is_array($data['answers']) ? $data['answers'] : null);
|
||
if ($ans !== '') {
|
||
$lines[] = '逐题选项：' . $ans;
|
||
}
|
||
}
|
||
return implode("\n", $lines);
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed> $data
|
||
*/
|
||
private static function formatDiscBlockForPrompt(array $data, bool $includeAnswerDetail = false): string
|
||
{
|
||
$lines = ['【DISC·最近一次】'];
|
||
if (!empty($data['dominantType'])) {
|
||
$lines[] = '主导：' . (string) $data['dominantType'] . '，次要：' . (string) ($data['secondaryType'] ?? '');
|
||
}
|
||
if (!empty($data['scores']) && is_array($data['scores'])) {
|
||
$lines[] = '得分：' . json_encode($data['scores'], JSON_UNESCAPED_UNICODE);
|
||
}
|
||
if ($includeAnswerDetail) {
|
||
$ans = self::formatAnswersCompact(isset($data['answers']) && is_array($data['answers']) ? $data['answers'] : null);
|
||
if ($ans !== '') {
|
||
$lines[] = '逐题选项：' . $ans;
|
||
}
|
||
}
|
||
return implode("\n", $lines);
|
||
}
|
||
|
||
/**
|
||
* @param array<string, mixed> $data
|
||
*/
|
||
private static function formatPdpBlockForPrompt(array $data, bool $includeAnswerDetail = false): string
|
||
{
|
||
$lines = ['【PDP·最近一次】'];
|
||
if (!empty($data['dominantType'])) {
|
||
$lines[] = '主导：' . (string) $data['dominantType'] . '，次要：' . (string) ($data['secondaryType'] ?? '');
|
||
}
|
||
if (!empty($data['scores']) && is_array($data['scores'])) {
|
||
$lines[] = '得分：' . json_encode($data['scores'], JSON_UNESCAPED_UNICODE);
|
||
}
|
||
if ($includeAnswerDetail) {
|
||
$ans = self::formatAnswersCompact(isset($data['answers']) && is_array($data['answers']) ? $data['answers'] : null);
|
||
if ($ans !== '') {
|
||
$lines[] = '逐题选项：' . $ans;
|
||
}
|
||
}
|
||
return implode("\n", $lines);
|
||
}
|
||
|
||
/**
|
||
* 过滤不在小程序展示的快捷问句（与产品配置一致）
|
||
*
|
||
* @param string[] $questions
|
||
* @return string[]
|
||
*/
|
||
public static function filterQuickQuestions(array $questions): array
|
||
{
|
||
$out = [];
|
||
foreach ($questions as $q) {
|
||
$s = trim((string) $q);
|
||
if ($s === '') {
|
||
continue;
|
||
}
|
||
if (preg_match('/记\s*一下\s*我的\s*MBTI/ui', $s)) {
|
||
continue;
|
||
}
|
||
$out[] = $s;
|
||
}
|
||
return $out;
|
||
}
|
||
|
||
/**
|
||
* 基于 MBTI 类型返回 3 条快捷问句
|
||
*/
|
||
public static function quickQuestions(string $mbtiType): array
|
||
{
|
||
$mbtiType = strtoupper(trim($mbtiType));
|
||
$generic = [
|
||
'我应该找什么样的工作？',
|
||
'我适合什么样的伴侣？',
|
||
'我的职业发展方向是什么？',
|
||
'我最近有点迷茫，有什么建议？',
|
||
'帮我做一个简短的自我介绍',
|
||
'我有哪些需要警惕的盲点？',
|
||
];
|
||
if ($mbtiType === '') return $generic;
|
||
|
||
return [
|
||
"作为 {$mbtiType}，我最大的优势和盲点是什么？",
|
||
"{$mbtiType} 适合什么样的工作？",
|
||
"{$mbtiType} 适合找什么样的伴侣？",
|
||
"{$mbtiType} 的职业发展路径推荐？",
|
||
"{$mbtiType} 如何处理职场人际关系？",
|
||
"{$mbtiType} 最容易掉进什么心理陷阱？",
|
||
];
|
||
}
|
||
}
|