deploy: auto commit repo-root changes 2026-06-13 11:35:15

This commit is contained in:
hajimi
2026-06-13 11:35:15 +08:00
parent 50f0b6aff5
commit 93474019a4
3 changed files with 182 additions and 48 deletions
@@ -15,6 +15,7 @@ use app\common\logic\AccountLogLogic;
use app\common\service\ai\AiService;
use app\common\service\ai\KbSyncService;
use app\common\service\chat\PrivateChatService;
use app\common\service\FileService;
use app\common\service\VipService;
use think\facade\Db;
@@ -703,9 +704,169 @@ class CommunityController extends BaseApiController
return in_array($lotteryKey, ['a6', 'xa6'], true);
}
private function localizeLiuhePostImagesForAi(CommunityPost $post, array $images): array
{
$localizedImages = [];
$changed = false;
foreach ($images as $image) {
$image = trim((string) $image);
if ($image === '') {
continue;
}
if ($this->isLocalUploadImage($image)) {
$localUrl = $this->normalizeLocalUploadImageUrl($image);
$localizedImages[] = $localUrl;
$changed = $changed || $localUrl !== $image;
continue;
}
if (!preg_match('/^https?:\/\//i', $image)) {
$localUrl = FileService::getFileUrl(ltrim($image, '/'));
$localizedImages[] = $localUrl;
$changed = $changed || $localUrl !== $image;
continue;
}
$localUrl = $this->saveRemoteImageForAiAnalysis($image);
if ($localUrl === '') {
return [
'success' => false,
'error' => '图片下载到本地失败,请稍后重试',
'images' => [],
];
}
$localizedImages[] = $localUrl;
$changed = true;
}
if (empty($localizedImages)) {
return ['success' => false, 'error' => '帖子图片为空,无法分析', 'images' => []];
}
if ($changed || $localizedImages !== array_values($images)) {
$now = time();
Db::name('community_post')->where('id', (int) $post->id)->update([
'images' => json_encode($localizedImages, JSON_UNESCAPED_UNICODE),
'update_time' => $now,
]);
Db::name('community_post_image')->where('post_id', (int) $post->id)->delete();
foreach ($localizedImages as $index => $imageUrl) {
Db::name('community_post_image')->insert([
'post_id' => (int) $post->id,
'image_url' => $imageUrl,
'sort' => $index,
'create_time' => $now,
]);
}
}
return ['success' => true, 'images' => $localizedImages, 'changed' => $changed];
}
private function isLocalUploadImage(string $image): bool
{
if (!preg_match('/^https?:\/\//i', $image)) {
return str_starts_with(ltrim($image, '/'), 'uploads/');
}
$path = (string) (parse_url($image, PHP_URL_PATH) ?: '');
if (!str_starts_with($path, '/uploads/')) {
return false;
}
$imageHost = strtolower((string) (parse_url($image, PHP_URL_HOST) ?: ''));
$currentHost = strtolower((string) (parse_url(request()->domain(), PHP_URL_HOST) ?: ''));
return $imageHost !== '' && $currentHost !== '' && $imageHost === $currentHost;
}
private function normalizeLocalUploadImageUrl(string $image): string
{
if (preg_match('/^https?:\/\//i', $image)) {
return $image;
}
return FileService::getFileUrl(ltrim($image, '/'));
}
private function saveRemoteImageForAiAnalysis(string $imageUrl): string
{
$ch = curl_init($imageUrl);
curl_setopt_array($ch, [
CURLOPT_RETURNTRANSFER => true,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_CONNECTTIMEOUT => 10,
CURLOPT_TIMEOUT => 25,
CURLOPT_SSL_VERIFYPEER => false,
CURLOPT_USERAGENT => 'Mozilla/5.0 SportEraBot/1.0',
]);
$body = curl_exec($ch);
$httpCode = (int) curl_getinfo($ch, CURLINFO_HTTP_CODE);
$contentType = (string) curl_getinfo($ch, CURLINFO_CONTENT_TYPE);
curl_close($ch);
if ($httpCode !== 200 || !is_string($body) || $body === '' || strlen($body) > 8 * 1024 * 1024) {
return '';
}
$mime = strtolower(trim(explode(';', $contentType)[0] ?? ''));
$imageInfo = @getimagesizefromstring($body);
if (is_array($imageInfo) && !empty($imageInfo['mime'])) {
$mime = strtolower((string) $imageInfo['mime']);
}
$extension = match ($mime) {
'image/jpeg', 'image/jpg' => 'jpg',
'image/png' => 'png',
'image/webp' => 'webp',
'image/gif' => 'gif',
default => '',
};
if ($extension === '') {
$path = parse_url($imageUrl, PHP_URL_PATH) ?: '';
$extension = strtolower(pathinfo($path, PATHINFO_EXTENSION));
if (!in_array($extension, ['jpg', 'jpeg', 'png', 'webp', 'gif'], true)) {
return '';
}
$extension = $extension === 'jpeg' ? 'jpg' : $extension;
}
$relativeDir = 'uploads/ai_lottery_posts/' . date('Ymd');
$publicRoot = rtrim(public_path(), DIRECTORY_SEPARATOR . '/');
$targetDir = $publicRoot . DIRECTORY_SEPARATOR . str_replace('/', DIRECTORY_SEPARATOR, $relativeDir);
if (!is_dir($targetDir) && !mkdir($targetDir, 0755, true) && !is_dir($targetDir)) {
return '';
}
$filename = sha1($imageUrl . "\n" . $body) . '.' . $extension;
$relativeUri = $relativeDir . '/' . $filename;
$targetPath = $targetDir . DIRECTORY_SEPARATOR . $filename;
if (!is_file($targetPath) && file_put_contents($targetPath, $body) === false) {
return '';
}
return FileService::getFileUrl($relativeUri);
}
private function ensureLiuheAnalysisContent(CommunityPost $post, array $ext): array
{
$images = is_array($post->images) ? array_values($post->images) : [];
$originalImageHash = md5(json_encode($images, JSON_UNESCAPED_UNICODE));
$localizeResult = $this->localizeLiuhePostImagesForAi($post, $images);
if (empty($localizeResult['success'])) {
return [
'success' => false,
'error' => (string) ($localizeResult['error'] ?? '图片下载到本地失败'),
];
}
$images = array_values($localizeResult['images']);
$imageHash = md5(json_encode($images, JSON_UNESCAPED_UNICODE));
$cacheSource = (string) ($ext['lottery_analysis_source'] ?? '');
$cacheHash = (string) ($ext['lottery_analysis_images_hash'] ?? '');
@@ -713,8 +874,16 @@ class CommunityController extends BaseApiController
if (
!empty($ext['lottery_analysis_content'])
&& $cacheSource === 'image_only'
&& $cacheHash === $imageHash
&& in_array($cacheHash, [$imageHash, $originalImageHash], true)
) {
if ($cacheHash !== $imageHash) {
$ext['lottery_analysis_images_hash'] = $imageHash;
CommunityPost::where('id', (int) $post->id)->update([
'ext' => json_encode($ext, JSON_UNESCAPED_UNICODE),
'update_time' => time(),
]);
KbSyncService::enqueue('post', 'post', (int) $post->id, 'upsert', 45);
}
return ['success' => true, 'ext' => $ext, 'from_cache' => true];
}
+6 -47
View File
@@ -11,6 +11,7 @@ use app\common\service\MTranServerService;
class AiService
{
private const LOTTERY_POST_IMAGE_TIMEOUT = 25;
// 生成类 AI 统一走 DeepSeekClient 的 OpenAI Responses 配置。
@@ -341,7 +342,7 @@ class AiService
if (!$image) {
return '';
}
return self::prepareGptImageUrl(FileService::getFileUrl($image));
return FileService::getFileUrl($image);
}, $images)));
if (empty($imageUrls)) {
@@ -366,6 +367,10 @@ class AiService
$options = self::gptModelOptions([
'max_tokens' => 2000,
'temperature' => 0.3,
'timeout' => self::LOTTERY_POST_IMAGE_TIMEOUT,
'reasoning_effort' => 'low',
'retry_times' => 0,
'retry_sleep_ms' => 0,
]);
$client = new DeepSeekClient();
@@ -380,52 +385,6 @@ class AiService
return $result;
}
protected static function prepareGptImageUrl(string $imageUrl): string
{
if (!preg_match('/^https?:\/\//i', $imageUrl)) {
return $imageUrl;
}
$dataUrl = self::downloadImageAsDataUrl($imageUrl);
return $dataUrl !== '' ? $dataUrl : $imageUrl;
}
protected static function downloadImageAsDataUrl(string $imageUrl): string
{
$ch = curl_init($imageUrl);
curl_setopt_array($ch, [
CURLOPT_RETURNTRANSFER => true,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_CONNECTTIMEOUT => 10,
CURLOPT_TIMEOUT => 25,
CURLOPT_SSL_VERIFYPEER => false,
CURLOPT_USERAGENT => 'Mozilla/5.0 SportEraBot/1.0',
]);
$body = curl_exec($ch);
$httpCode = (int) curl_getinfo($ch, CURLINFO_HTTP_CODE);
$contentType = (string) curl_getinfo($ch, CURLINFO_CONTENT_TYPE);
curl_close($ch);
if ($httpCode !== 200 || !is_string($body) || $body === '' || strlen($body) > 8 * 1024 * 1024) {
return '';
}
$mime = strtolower(trim(explode(';', $contentType)[0] ?? ''));
if ($mime === '' || !str_starts_with($mime, 'image/')) {
$path = parse_url($imageUrl, PHP_URL_PATH) ?: '';
$ext = strtolower(pathinfo($path, PATHINFO_EXTENSION));
$mime = match ($ext) {
'png' => 'image/png',
'webp' => 'image/webp',
'gif' => 'image/gif',
default => 'image/jpeg',
};
}
return 'data:' . $mime . ';base64,' . base64_encode($body);
}
/**
* 保存分析结果
*/
@@ -6,6 +6,8 @@ use app\common\model\ai\AiConfig;
class KbRagService
{
private const LOTTERY_POST_ANALYSIS_TIMEOUT = 25;
public static function analyzeMatch(int $matchId, array $matchData, int $userId = 0): array
{
$retrieval = self::retrieveMatchEvidence($matchId, $matchData, $userId, 'match_analysis');
@@ -212,6 +214,10 @@ class KbRagService
return DeepSeekClient::defaultModelOptions([
'max_tokens' => 1200,
'temperature' => 0.35,
'timeout' => self::LOTTERY_POST_ANALYSIS_TIMEOUT,
'reasoning_effort' => 'low',
'retry_times' => 0,
'retry_sleep_ms' => 0,
]);
}