volcEngineService = $volcEngineService; $this->pointsService = $pointsService; $this->httpClient = new Client([ 'timeout' => 300, ]); } /** * 构建图片任务计费信息 * * @param array $params * @param string $model * @return array */ private function buildImageChargeInfo(array $params, string $model): array { $uid = 0; try { $uid = (int)Site::getUid(); } catch (\Throwable $e) { // 非请求上下文(如命令行)下可能无法获取用户ID,置为0 } $width = (int)getProp($params, 'width', 1600); $height = (int)getProp($params, 'height', 2848); return [ 'user_id' => $uid, 'model' => $model, 'width' => $width, 'height' => $height, 'resolution' => $this->pointsService->normalizeImageResolutionKey($width, $height), 'image_num' => (int)getProp($params, 'image_num', 1), 'source' => !empty($params['alias_segment_id']) ? 'segment' : (!empty($params['alias_act_id']) ? 'act' : ''), 'alias_segment_id' => $params['alias_segment_id'] ?? '', 'created_at' => date('Y-m-d H:i:s'), ]; } /** * 图片生成余额预检 * * 有用户上下文时校验本次生成所需积分(单价 × 生成张数),不足直接抛错; * 后台命令/队列等无用户上下文的场景跳过预检。 * * @param array $chargeInfo * @return void */ private function preCheckImageBalance(array $chargeInfo): void { $uid = (int)($chargeInfo['user_id'] ?? 0); if (!$uid) { return; } $imageNum = (int)($chargeInfo['image_num'] ?? 1); if ($imageNum <= 0) { $imageNum = 1; } $needPoints = $this->pointsService->getImageChargePoints($chargeInfo) * $imageNum; if ($needPoints <= 0) { return; } $this->pointsService->checkUserPointsEnough($needPoints, $uid); } /** * 图片生成成功统一处理(事务保证原子性) * * 在同一事务内完成:任务状态更新 + 积分计费 + 分镜表同步; * 任一步失败整体回滚,任务保持原状态,由后续定时任务/超时重置重试。 * * @param MpGeneratePicTask $task * @param array $resultUrls * @param array $resultJson * @return void */ private function handleImageTaskSuccess(MpGeneratePicTask $task, array $resultUrls, array $resultJson): void { try { DB::beginTransaction(); // 更新任务状态为成功 $task->updateStatus(MpGeneratePicTask::STATUS_SUCCESS, [ 'result_url' => $resultUrls, 'result_json' => $resultJson, ]); // 记录计费明细并扣减用户积分(真实失败则抛错回滚,避免“成功但未计费”) $chargeResult = $this->pointsService->recordImageTaskCharge($task); if (empty($chargeResult['charged']) && !in_array((string)($chargeResult['reason'] ?? ''), ['already_charged', 'no_charge_info'], true)) { throw new \Exception('图片计费失败: ' . (string)($chargeResult['reason'] ?? 'unknown')); } // 同步调整分镜图片状态和结果 $segmentId = getProp($task, 'alias_segment_id'); if ($segmentId) { $updateSegmentResult = DB::table('mp_episode_segments')->where('segment_id', $segmentId)->update([ 'img_url' => $resultUrls[0], 'pic_task_status' => '已完成', ]); // 本应更新却未更新到(分镜被删除等),抛错触发整体回滚重试 if ($updateSegmentResult === false || $updateSegmentResult === 0) { throw new \Exception('更新分镜图片状态失败: 未找到对应的分镜记录'); } // 如果是首帧图ID则更新anime表 if (Redis::sismember('anime_first_frame_urls', $segmentId)) { $animeId = DB::table('mp_episode_segments')->where('segment_id', $segmentId)->value('anime_id'); DB::table('mp_animes')->where('id', $animeId)->update(['first_frame_url' => $resultUrls[0], 'updated_at' => date('Y-m-d H:i:s')]); Redis::srem('anime_first_frame_urls', $segmentId); } } DB::commit(); } catch (\Exception $e) { DB::rollBack(); dLog('generate')->error('图片任务成功处理失败,已回滚: ' . $e->getMessage(), ['task_id' => $task->id]); logDB('generate', 'error', '图片任务成功处理失败,已回滚', [ 'task_id' => $task->id, 'error' => $e->getMessage(), ]); } } /** * 异步创建图片生成任务 * * @param array $params * @return MpGeneratePicTask */ public function createImageGenerationTask(array $params): MpGeneratePicTask { // // 获取模型类型,默认使用即梦AI 4.0 // $model = $params['model'] ?? self::MODEL_JIMENG_4; // 获取模型类型,默认使用即梦seedream5.0-lite $model = $params['model'] ?? 'gpt-image-2'; // 构建计费信息并余额预检(不足直接报错) $chargeInfo = $this->buildImageChargeInfo($params, $model); $this->preCheckImageBalance($chargeInfo); // 检查是否有正在处理的任务(仅即梦AI需要排队) if ($model === self::MODEL_JIMENG_4 && $this->hasProcessingTask()) { // 如果有正在处理的任务,创建排队任务 return $this->createQueuedTask($params); } // 生成唯一的任务ID $taskId = 'img_gen_' . time() . '_' . uniqid(); // 创建任务记录 $task = MpGeneratePicTask::create([ 'task_id' => $taskId, 'alias_segment_id' => $params['alias_segment_id'] ?? 0, 'prompt' => $params['prompt'] ?? '', 'width' => $params['width'] ?? 1600, 'height' => $params['height'] ?? 2848, 'image_num' => $params['image_num'] ?? 1, 'scale' => $params['scale'] ?? 50, 'ref_img_url' => $params['ref_img_urls'] ?? null, 'mask_img_url' => $params['mask_img_url'] ?? null, 'extra_params' => $params['extra_params'] ?? null, 'status' => MpGeneratePicTask::STATUS_PENDING, 'model' => $model, 'charge_info' => $chargeInfo, ]); // 即梦AI和NanoBanana系列立即提交任务,火山API在定时任务中提交 if ($model === self::MODEL_JIMENG_4) { $this->submitTaskToJimengApi($task); } elseif (in_array($model, BaseConst::NANO_BANANA_MODELS)) { $this->submitTaskToNanoBananaApi($task); } return $task; } /** * 检查是否有正在处理的任务 * * @return bool */ private function hasProcessingTask(): bool { return MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PROCESSING) ->exists(); } /** * 创建排队任务 * * @param array $params * @return MpGeneratePicTask */ private function createQueuedTask(array $params): MpGeneratePicTask { // 生成唯一的任务ID $taskId = 'img_gen_' . time() . '_' . uniqid(); // 获取模型类型 $model = $params['model'] ?? self::MODEL_JIMENG_4; // 构建计费信息并余额预检(不足直接报错) $chargeInfo = $this->buildImageChargeInfo($params, $model); $this->preCheckImageBalance($chargeInfo); // 创建排队状态的任务记录 return MpGeneratePicTask::create([ 'task_id' => $taskId, 'alias_segment_id' => $params['alias_segment_id'] ?? 0, 'prompt' => $params['prompt'] ?? '', 'width' => $params['width'] ?? 1600, 'height' => $params['height'] ?? 2848, 'image_num' => $params['image_num'] ?? 1, 'scale' => $params['scale'] ?? 50, 'ref_img_url' => $params['ref_img_urls'] ?? null, 'mask_img_url' => $params['mask_img_url'] ?? null, 'extra_params' => $params['extra_params'] ?? null, 'status' => MpGeneratePicTask::STATUS_PENDING, 'model' => $model, 'charge_info' => $chargeInfo, ]); } /** * 提交任务到即梦AI API * * @param MpGeneratePicTask $task * @return void */ private function submitTaskToJimengApi(MpGeneratePicTask $task): void { try { // 验证环境变量配置 $accessKey = env('VOLC_AI_AK'); $secretKey = env('VOLC_AI_SK'); if (empty($accessKey) || empty($secretKey)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '火山引擎访问密钥未配置,请检查环境变量AK和SK' ]); return; } //构建即梦AI 4.0 API请求参数 $apiParams = [ 'req_key' => 'jimeng_t2i_v40', 'prompt' => $task->prompt, 'scale' => $task->scale / 100, //为0-1范围 ]; // 添加可选参数 if ($task->image_num > 1) { $apiParams['force_single'] = false; } else { $apiParams['force_single'] = true; } // 参考图片 if ($task->ref_img_url) { $apiParams['image_urls'] = $task->ref_img_url; } // if ($task->mask_img_url) { // $apiParams['image_urls'] = $task->mask_img_url; // } // 尺寸参数 $area = $task->width * $task->height; //计算面积 if ($area >= 1024*1024 && $area <= 4096*4096) { $apiParams['size'] = (int)$area; } dLog('generate')->info('即梦AI文生图参数: ', $apiParams); logDB('generate', 'info', '即梦AI文生图任务提交', ['task_id' => $task->task_id, 'params' => $apiParams]); //调用即梦AI 4.0 API提交任务 $response = $this->volcEngineService->request( 'POST', 'visual.volcengineapi.com', //即梦AI API域名 '/', // 使用根路径 [], // Query参数 json_encode($apiParams), $accessKey, $secretKey, 'cv', // 服务标识 'cn-north-1', //区域 'CVSync2AsyncSubmitTask', '2022-08-31', 'application/json' ); $responseData = json_decode($response['body'], true); dLog('generate')->info('即梦AI 4.0 API提交任务响应: ', $responseData); logDB('generate', 'info', '即梦AI 4.0 API提交任务响应', ['task_id' => $task->task_id, 'response' => $responseData]); if ($responseData['code'] !== 10000) { // API返回错误 logDB('generate', 'error', '即梦AI任务提交失败', ['task_id' => $task->task_id, 'error' => $responseData['message'] ?? 'API Error']); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => $responseData['message'] ?? 'API Error', 'extra_params' => $responseData['data'] ?? [] ]); } else { // 任务提交成功,更新状态为处理中 $updateData = []; //存储API返回的任务ID if (isset($responseData['data']['task_id'])) { $updateData['task_id'] = $responseData['data']['task_id']; $updateData['extra_params'] = $responseData ?? []; } $task->updateStatus(MpGeneratePicTask::STATUS_PROCESSING, $updateData); } } catch (\Exception $e) { // 记录错误 logDB('generate', 'error', '即梦AI任务提交异常', ['task_id' => $task->task_id, 'error' => $e->getMessage()]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'API请求失败: ' . $e->getMessage() ]); } } /** * 提交任务到GPT-Image2 API * * @param MpGeneratePicTask $task * @return void */ public function submitTaskToGptImage2Api(MpGeneratePicTask $task): void { try { // 验证环境变量配置 $apiKey = env('GPT_IMAGE2_API_KEY'); if (empty($apiKey)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'GPT-Image2 API KEY未配置,请检查环境变量GPT_IMAGE2_API_KEY' ]); return; } // 更新状态为处理中 $task->updateStatus(MpGeneratePicTask::STATUS_PROCESSING); // $api_url = 'https://token.ithinkai.cn/v1/images/generations'; // 备用地址1 // $api_url = 'https://api.nonelinear.com/v1/images/generations'; // 备用地址2 $api_url = 'https://ai-api.kkidc.com/v1/images/generations'; $isEditMode = false; // 参考图片 - 如果有参考图则使用 /edits 接口 if ($task->ref_img_url) { // $api_url = 'https://token.ithinkai.cn/v1/images/edits'; // 备用地址1 // $api_url = 'https://api.nonelinear.com/v1/images/generations'; // 备用地址2 $api_url = 'https://ai-api.kkidc.com/v1/images/edits'; $isEditMode = true; } dLog('generate')->info('开始调用GPT-Image2 API', ['task_id' => $task->task_id, 'mode' => $isEditMode ? 'edit' : 'generation']); logDB('generate', 'info', '开始调用GPT-Image2 API', ['task_id' => $task->task_id, 'mode' => $isEditMode ? 'edit' : 'generation']); // 创建专用客户端,优化配置 $gptClient = new Client([ 'timeout' => 1800, // 超时 'connect_timeout' => 120, // 连接超时10秒 'http_errors' => false, // 不自动抛出HTTP错误 'verify' => false, // 禁用SSL验证(如果有证书问题) 'allow_redirects' => true, ]); // 根据是否有参考图选择不同的请求方式 if ($isEditMode) { // 使用原生 cURL 处理 multipart/form-data 格式 $imageUrls = is_array($task->ref_img_url) ? $task->ref_img_url : [$task->ref_img_url]; // 限制最多4张参考图 $imageUrls = array_slice($imageUrls, 0, 4); dLog('generate')->info('下载参考图片', ['image_urls' => $imageUrls, 'count' => count($imageUrls)]); // 下载所有参考图片并保存为临时文件 $tempFiles = []; foreach ($imageUrls as $index => $imageUrl) { $imageContent = @file_get_contents($imageUrl); if ($imageContent === false) { dLog('generate')->warning('下载参考图片失败,跳过', ['image_url' => $imageUrl]); continue; } dLog('generate')->info('参考图片下载完成', ['index' => $index, 'size' => strlen($imageContent)]); // 保存为临时文件(cURL 需要真实文件路径) $extension = pathinfo(parse_url($imageUrl, PHP_URL_PATH), PATHINFO_EXTENSION) ?: 'png'; $tempFile = tempnam(sys_get_temp_dir(), 'gpt_img_') . '.' . $extension; file_put_contents($tempFile, $imageContent); $tempFiles[] = [ 'path' => $tempFile, 'extension' => $extension ]; dLog('generate')->info('临时文件创建成功', ['file' => $tempFile, 'size' => filesize($tempFile)]); } if (empty($tempFiles)) { throw new \Exception('所有参考图片下载失败'); } // 构建 POST 字段 $postFields = [ 'prompt' => $task->prompt, 'model' => 'gpt-image-2', 'n' => (string)$task->image_num, // 新接口要求字符串类型 'response_format' => 'b64_json', // 新接口必填参数 ]; // 尺寸参数(必填) if ($task->width && $task->height) { $postFields['size'] = $task->width . 'x' . $task->height; } else { $postFields['size'] = '1024x1024'; // 默认尺寸 } // 添加参考图片文件(支持多图,新接口要求使用 image 字段名) foreach ($tempFiles as $index => $tempFile) { $fieldName = 'image'; // 新接口统一使用 image 字段名 $postFields[$fieldName] = new \CURLFile( $tempFile['path'], 'image/' . $tempFile['extension'], 'image' . ($index + 1) . '.' . $tempFile['extension'] ); } dLog('generate')->info('GPT-Image2 API参数(编辑模式-cURL)', [ 'api_url' => $api_url, 'prompt' => $task->prompt, 'size' => $postFields['size'], 'n' => $postFields['n'], 'response_format' => $postFields['response_format'], 'image_count' => count($tempFiles) ]); logDB('generate', 'info', 'GPT-Image2任务提交(编辑模式)', [ 'task_id' => $task->task_id, 'api_url' => $api_url, 'image_urls' => $imageUrls, 'prompt' => $task->prompt ]); $startTime = microtime(true); // 使用原生 cURL $ch = curl_init(); curl_setopt_array($ch, [ CURLOPT_URL => $api_url, CURLOPT_RETURNTRANSFER => true, CURLOPT_POST => true, CURLOPT_POSTFIELDS => $postFields, CURLOPT_HTTPHEADER => [ 'Authorization: Bearer ' . $apiKey, 'Accept: application/json', 'Expect:', // 移除 Expect: 100-continue,避免等待 ], CURLOPT_TIMEOUT => 600, CURLOPT_CONNECTTIMEOUT => 30, CURLOPT_SSL_VERIFYPEER => false, CURLOPT_SSL_VERIFYHOST => false, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, // 强制使用 HTTP/1.1 ]); dLog('generate')->info('开始发送cURL请求'); $responseBody = curl_exec($ch); $statusCode = curl_getinfo($ch, CURLINFO_HTTP_CODE); $curlError = curl_error($ch); $curlErrno = curl_errno($ch); curl_close($ch); // 删除所有临时文件 foreach ($tempFiles as $tempFile) { @unlink($tempFile['path']); } $elapsed = round(microtime(true) - $startTime, 2); dLog('generate')->info('cURL请求完成', ['elapsed' => $elapsed . 's', 'http_code' => $statusCode, 'curl_errno' => $curlErrno]); if ($curlErrno !== 0) { throw new \Exception('cURL错误: ' . $curlError . ' (错误码: ' . $curlErrno . ')'); } if (empty($responseBody)) { throw new \Exception('API返回空响应,HTTP状态码: ' . $statusCode); } } else { // 使用 JSON 格式 (原有的文生图模式) $apiParams = [ 'model' => 'gpt-image-2', 'prompt' => $task->prompt, 'n' => (int)$task->image_num, 'quality' => 'auto', // 新接口必填参数:图像质量等级 'response_format' => 'b64_json', // 新接口必填参数:返回格式 ]; // 尺寸参数 if ($task->width && $task->height) { $apiParams['size'] = $task->width . 'x' . $task->height; } else { $apiParams['size'] = 'auto'; // 新接口必填参数 } dLog('generate')->info('GPT-Image2 API参数', $apiParams); logDB('generate', 'info', 'GPT-Image2任务提交', ['task_id' => $task->task_id, 'api_url' => $api_url, 'params' => $apiParams]); $startTime = microtime(true); // 调用GPT-Image2 API $response = $gptClient->post($api_url, [ 'headers' => [ 'Authorization' => 'Bearer ' . $apiKey, 'Content-Type' => 'application/json', ], 'json' => $apiParams, ]); $statusCode = $response->getStatusCode(); $responseBody = $response->getBody()->getContents(); $elapsed = round(microtime(true) - $startTime, 2); dLog('generate')->info('Guzzle请求完成', ['elapsed' => $elapsed . 's', 'http_code' => $statusCode]); if (empty($responseBody)) { throw new \Exception('API返回空响应,HTTP状态码: ' . $statusCode); } } // 解析响应 dLog('generate')->info('响应数据长度', ['length' => strlen($responseBody)]); $responseData = json_decode($responseBody, true); if (json_last_error() !== JSON_ERROR_NONE) { dLog('generate')->error('JSON解析失败', ['error' => json_last_error_msg(), 'body' => substr($responseBody, 0, 500)]); throw new \Exception('JSON解析失败: ' . json_last_error_msg()); } // 移除 b64_json 字段用于日志记录,避免生成超大日志 $logResponseData = $this->removeB64JsonFromResponse($responseData); dLog('generate')->info('GPT-Image2 API响应', $logResponseData); logDB('generate', 'info', 'GPT-Image2 API响应', ['task_id' => $task->task_id, 'response' => $logResponseData]); if (isset($responseData['error'])) { // API返回错误 logDB('generate', 'error', 'GPT-Image2任务失败', ['task_id' => $task->task_id, 'error' => $responseData['error']['message'] ?? 'API Error']); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => $responseData['error']['message'] ?? 'API Error', 'result_json' => $logResponseData ]); } else { // 任务提交成功,直接处理结果 dLog('generate')->info('开始处理GPT-Image2响应结果'); $this->processGptImage2ApiResponse($task, $responseData); } } catch (\Exception $e) { // 记录错误 dLog('generate')->error('GPT-Image2 API请求失败: ' . $e->getMessage(), [ 'task_id' => $task->task_id, 'trace' => $e->getTraceAsString() ]); logDB('generate', 'error', 'GPT-Image2任务异常', [ 'task_id' => $task->task_id, 'error' => $e->getMessage(), 'file' => $e->getFile(), 'line' => $e->getLine() ]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'API请求失败: ' . $e->getMessage() ]); } } /** * 处理GPT-Image2 API响应结果 * * @param MpGeneratePicTask $task * @param array $responseData * @return void */ private function processGptImage2ApiResponse(MpGeneratePicTask $task, array $responseData): void { try { if (!isset($responseData['data']) || empty($responseData['data'])) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '未返回图片数据', 'result_json' => $responseData ]); return; } $result_urls = []; foreach ($responseData['data'] as $index => $imageData) { // 优先处理 b64_json 格式(新接口返回格式) if (isset($imageData['b64_json']) && !empty($imageData['b64_json'])) { $base64Data = $imageData['b64_json']; $imageStream = base64_decode($base64Data); if ($imageStream === false) { dLog('generate')->error('Base64解码失败', ['task_id' => $task->task_id, 'index' => $index]); continue; } $pic_name = 'ai_generation_gpt_' . time() . '_' . uniqid() . '.png'; // 压缩PNG图片流 $compressedData = $this->compressImageStream($imageStream); $url = uploadStreamByTos('image', $compressedData, $pic_name); $result_urls[] = $url; // 记录优化后的提示词(如果有) if (isset($imageData['revised_prompt'])) { dLog('generate')->info('图片生成优化提示词', [ 'task_id' => $task->task_id, 'index' => $index, 'revised_prompt' => $imageData['revised_prompt'] ]); } } elseif (isset($imageData['url']) && !empty($imageData['url'])) { // 兼容旧的 url 格式(如果接口仍返回) $url = $imageData['url']; $pic_name = 'ai_generation_gpt_' . time() . '_' . uniqid(); $pic_ext = getImgExtFromUrl($url); $pic_name = $pic_name . $pic_ext; if ($pic_ext === '.png') { $comporessed_data = compressRemoteImageUrlToSize($url); $url = uploadStreamByTos('image', $comporessed_data, $pic_name); } else { $url = uploadStreamByTos('image', file_get_contents($url), $pic_name); } $result_urls[] = $url; } } if (empty($result_urls)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '所有图片生成失败', 'result_json' => $responseData ]); return; } // 移除 b64_json 字段以避免存储大量 Base64 数据 $cleanedResponseData = $responseData; if (isset($cleanedResponseData['data'])) { foreach ($cleanedResponseData['data'] as &$imageData) { unset($imageData['b64_json']); // 移除 Base64 数据 } unset($imageData); // 解除引用 } // 图片生成成功统一处理(事务:状态更新 + 计费 + 分镜同步) $this->handleImageTaskSuccess($task, $result_urls, $cleanedResponseData); } catch (\Exception $e) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '处理响应失败: ' . $e->getMessage() ]); } } /** * 提交任务到火山图片生成API * * @param MpGeneratePicTask $task * @return void */ public function submitTaskToVolcApi(MpGeneratePicTask $task): void { try { // 验证环境变量配置 $apiKey = env('VOLC_AI_API_KEY'); if (empty($apiKey)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '火山引擎API KEY未配置,请检查环境变量VOLC_AI_API_KEY' ]); return; } // 更新状态为处理中 $task->updateStatus(MpGeneratePicTask::STATUS_PROCESSING); // 构建火山图片生成API请求参数 $apiParams = [ 'model' => isset(BaseConst::MODELS_MAP[$task->model]) ? BaseConst::MODELS_MAP[$task->model] : $task->model, 'prompt' => $task->prompt, 'watermark' => false, ]; // 尺寸参数 if ($task->width && $task->height) { $apiParams['size'] = $task->width . 'x' . $task->height; } // 参考图片 if ($task->ref_img_url) { if (is_array($task->ref_img_url)) { // $apiParams['image'] = count($task->ref_img_url) === 1 ? $task->ref_img_url[0] : $task->ref_img_url; $apiParams['image'] = $task->ref_img_url; } else { $apiParams['image'] = $task->ref_img_url; } } // 生成多图或者单图 $imageNum = (int)$task->image_num; if ($imageNum === 1) { $apiParams['sequential_image_generation'] = 'disabled'; }else if ($imageNum > 1) { // 组图模式下由模型决定实际生成张数,这里在提示词末尾明确要求生成对应数量,并将组图上限设置为目标张数 $apiParams['prompt'] = rtrim((string)$task->prompt) . "\n生成{$imageNum}张图片"; $apiParams['sequential_image_generation'] = 'auto'; $apiParams['sequential_image_generation_options']['max_images'] = $imageNum; } dLog('generate')->info('火山图片生成API参数: ', $apiParams); logDB('generate', 'info', '火山图片生成任务提交', ['task_id' => $task->task_id, 'params' => $apiParams]); // 调用火山图片生成API $response = $this->httpClient->post('https://ark.cn-beijing.volces.com/api/v3/images/generations', [ 'headers' => [ 'Authorization' => 'Bearer ' . $apiKey, 'Content-Type' => 'application/json', ], 'json' => $apiParams, ]); $responseData = json_decode($response->getBody()->getContents(), true); dLog('generate')->info('火山图片生成API响应: ', $responseData); logDB('generate', 'info', '火山图片生成API响应', ['task_id' => $task->task_id, 'response' => $responseData]); if (isset($responseData['error'])) { // API返回错误 logDB('generate', 'error', '火山图片生成任务失败', ['task_id' => $task->task_id, 'error' => $responseData['error']['message'] ?? 'API Error']); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => $responseData['error']['message'] ?? 'API Error', 'result_json' => $responseData ]); } else { // 任务提交成功,直接处理结果 $this->processVolcApiResponse($task, $responseData); } } catch (\Exception $e) { // 记录错误 dLog('generate')->error('火山API请求失败: ' . $e->getMessage()); logDB('generate', 'error', '火山图片生成任务异常', ['task_id' => $task->task_id, 'error' => $e->getMessage()]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'API请求失败: ' . $e->getMessage() ]); } } /** * 处理火山API响应结果 * * @param MpGeneratePicTask $task * @param array $responseData * @return void */ private function processVolcApiResponse(MpGeneratePicTask $task, array $responseData): void { try { if (!isset($responseData['data']) || empty($responseData['data'])) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '未返回图片数据', 'result_json' => $responseData ]); return; } $result_urls = []; foreach ($responseData['data'] as $imageData) { if (isset($imageData['error'])) { // 单张图片生成失败 dLog('generate')->warning('单张图片生成失败: ', $imageData['error']); continue; } if (isset($imageData['url'])) { $url = $imageData['url']; $pic_name = 'ai_generation_' . time() . '_' . uniqid(); $pic_ext = getImgExtFromUrl($url); $pic_name = $pic_name . $pic_ext; if ($pic_ext === '.png') { $comporessed_data = compressRemoteImageUrlToSize($url); $url = uploadStreamByTos('image', $comporessed_data, $pic_name); } else { // 将图片另存到tos $url = uploadStreamByTos('image', file_get_contents($url), $pic_name); } $result_urls[] = $url; } } if (empty($result_urls)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '所有图片生成失败', 'result_json' => $responseData ]); return; } // 图片生成成功统一处理(事务:状态更新 + 计费 + 分镜同步) $this->handleImageTaskSuccess($task, $result_urls, $responseData); } catch (\Exception $e) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '处理响应失败: ' . $e->getMessage() ]); } } public function getTaskList($data) { $task_id = getProp($data, 'task_id'); $status = getProp($data, 'status'); $query = MpGeneratePicTask::select('*'); if ($task_id) { $query->where('id', $task_id); } if ($status) { $query->where('status', $status); } return $query->orderBy('created_at', 'desc')->paginate(); } /** * 查询任务状态 * * @param MpGeneratePicTask $task * @return array */ public function queryTaskStatus(MpGeneratePicTask $task): array { // 根据模型类型调用不同的查询方法 if ($task->model === self::MODEL_JIMENG_4) { return $this->queryJimengTaskStatus($task); } elseif (in_array($task->model, BaseConst::NANO_BANANA_MODELS)) { return $this->queryNanoBananaTaskStatus($task); } else { // 火山API是同步返回结果,不需要查询 return [ 'status' => $task->status === MpGeneratePicTask::STATUS_SUCCESS ? 'success' : 'failed', 'error_message' => $task->error_message, 'result_url' => $task->result_url, 'result_json' => $task->result_json ?? [] ]; } } /** * 查询即梦AI任务状态 * * @param MpGeneratePicTask $task * @return array */ private function queryJimengTaskStatus(MpGeneratePicTask $task): array { try { // 获取API任务ID $apiTaskId = $task->task_id ?? null; if (!$apiTaskId) { return [ 'status' => 'failed', 'error_message' => 'API任务ID不存在', 'result_url' => null ]; } //构建查询参数 $apiParams = [ 'req_key' => 'jimeng_t2i_v40', 'task_id' => $apiTaskId, 'req_json' => '{"return_url":true}' // 返回URL格式 ]; //调用即梦AI 4.0 API查询任务状态 $response = $this->volcEngineService->request( 'POST', 'visual.volcengineapi.com', '/', // 使用根路径 [], // Query参数 json_encode($apiParams), env('VOLC_AI_AK'), env('VOLC_AI_SK'), 'cv', 'cn-north-1', 'CVSync2AsyncGetResult', '2022-08-31', 'application/json' ); $responseData = json_decode($response['body'], true); dLog('generate')->info('即梦AI 4.0 API查询任务状态响应: ', $responseData); logDB('generate', 'info', '即梦AI任务状态查询', ['task_id' => $apiTaskId, 'response' => $responseData]); if ($responseData['code'] !== 10000) { // API返回错误 logDB('generate', 'error', '即梦AI任务状态查询失败', ['task_id' => $apiTaskId, 'error' => $responseData['message'] ?? 'API Error']); return [ 'status' => 'failed', 'error_message' => $responseData['message'] ?? 'API Error', 'result_url' => null, 'result_json' => $responseData ?? [] ]; } // 解析API响应 $result = $responseData['data'] ?? []; $taskStatus = $result['status'] ?? 'failed'; $returnData = [ 'status' => $taskStatus, 'error_message' => null, 'result_url' => null, 'result_json' => $responseData ?? [] ]; // 如果任务成功,获取结果URL if ($taskStatus === 'done' && isset($result['image_urls']) && count($result['image_urls']) > 0) { $result_urls = []; foreach ($result['image_urls'] as $url) { $pic_name = 'ai_generation_' . time() . '_' . uniqid(); $pic_ext = getImgExtFromUrl($url); $pic_name = $pic_name . $pic_ext; if ($pic_ext === '.png') { $comporessed_data = compressRemoteImageUrlToSize($url); $url = uploadStreamByTos('image', $comporessed_data, $pic_name); }else { // 将图片另存到tos $url = uploadStreamByTos('image', file_get_contents($url), $pic_name); } $result_urls[] = $url; } $returnData['result_url'] = $result_urls; $returnData['status'] = 'success'; } elseif (in_array($taskStatus, ['not_found', 'expired'])) { $returnData['status'] = 'failed'; $returnData['error_message'] = '任务未找到或已过期'; } elseif ($taskStatus === 'failed') { $returnData['status'] = 'failed'; $returnData['error_message'] = '任务执行失败'; } // in_queue 或 generating状态保持原status return $returnData; } catch (\Exception $e) { return [ 'status' => 'failed', 'error_message' => $e->getMessage(), 'result_url' => null ]; } } /** * 提交任务到NanoBanana API * * @param MpGeneratePicTask $task * @return void */ private function submitTaskToNanoBananaApi(MpGeneratePicTask $task): void { try { // 验证环境变量配置 $apiKey = env('NANO_BANANA_API_KEY'); if (empty($apiKey)) { $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'NanoBanana API KEY未配置,请检查环境变量NANO_BANANA_API_KEY' ]); return; } // 根据模型选择API地址 switch ($task->model) { case self::MODEL_NANO_BANANA_2: $apiUrl = 'https://api.wuyinkeji.com/api/async/image_nanoBanana2'; break; case self::MODEL_NANO_BANANA_PRO: $apiUrl = 'https://api.wuyinkeji.com/api/async/image_nanoBanana_pro'; break; case self::MODEL_GPT_IMAGE_2: $apiUrl = 'https://api.wuyinkeji.com/api/async/image_gpt'; break; default: $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '不支持的模型类型: ' . $task->model ]); logDB('generate', 'error', '模型类型错误', ['task_id' => $task->task_id, 'model' => $task->model]); return; } // 构建API请求参数 $apiParams = [ 'key' => $apiKey, 'prompt' => $task->prompt, ]; if ($task->model == self::MODEL_GPT_IMAGE_2) { // 该模型下,size需设置为9:16类似的数值,请根据如下比例反推 $apiParams['size'] = $this->getRatioFromSize($task->width, $task->height); }else { // 尺寸参数(根据宽高判断) $area = $task->width * $task->height; if ($area >= 1024*1024 && $area < 2048*2048) { $apiParams['size'] = '1k'; } elseif ($area >= 2048*2048) { $apiParams['size'] = '2k'; } else { $apiParams['size'] = '1k'; // 默认1k } // 画面比例 if ($task->width && $task->height) { $ratio = $task->width . ':' . $task->height; // 简化比例 $gcd = $this->gcd($task->width, $task->height); $ratio = ($task->width / $gcd) . ':' . ($task->height / $gcd); $apiParams['aspectRatio'] = $ratio; } } // 参考图片 if ($task->ref_img_url) { $apiParams['urls'] = is_array($task->ref_img_url) ? $task->ref_img_url : [$task->ref_img_url]; } dLog('generate')->info('NanoBanana API参数: ', $apiParams); logDB('generate', 'info', 'NanoBanana任务提交', ['task_id' => $task->task_id, 'model' => $task->model, 'params' => $apiParams]); // 调用NanoBanana API $response = $this->httpClient->post($apiUrl, [ 'query' => ['key' => $apiKey], 'json' => $apiParams, ]); $responseData = json_decode($response->getBody()->getContents(), true); dLog('generate')->info('NanoBanana API响应: ', $responseData); logDB('generate', 'info', 'NanoBanana API响应', ['task_id' => $task->task_id, 'response' => $responseData]); if ($responseData['code'] !== 200) { // API返回错误 logDB('generate', 'error', 'NanoBanana任务提交失败', ['task_id' => $task->task_id, 'error' => $responseData['msg'] ?? 'API Error']); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => $responseData['msg'] ?? 'API Error', 'extra_params' => $responseData ]); } else { // 任务提交成功,更新状态为处理中 $updateData = []; // 存储API返回的任务ID if (isset($responseData['data']['id'])) { $updateData['task_id'] = $responseData['data']['id']; $updateData['extra_params'] = $responseData; } $task->updateStatus(MpGeneratePicTask::STATUS_PROCESSING, $updateData); } } catch (\Exception $e) { // 记录错误 logDB('generate', 'error', 'NanoBanana任务提交异常', ['task_id' => $task->task_id, 'error' => $e->getMessage()]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => 'API请求失败: ' . $e->getMessage() ]); } } /** * 查询NanoBanana任务状态 * * @param MpGeneratePicTask $task * @return array */ private function queryNanoBananaTaskStatus(MpGeneratePicTask $task): array { try { // 获取API任务ID $apiTaskId = $task->task_id ?? null; $apiKey = env('NANO_BANANA_API_KEY'); if (!$apiTaskId) { return [ 'status' => 'failed', 'error_message' => 'API任务ID不存在', 'result_url' => null ]; } if (empty($apiKey)) { return [ 'status' => 'failed', 'error_message' => 'NanoBanana API KEY未配置', 'result_url' => null ]; } // 调用统一查询接口 $response = $this->httpClient->get('https://api.wuyinkeji.com/api/async/detail', [ 'query' => [ 'key' => $apiKey, 'id' => $apiTaskId ] ]); $responseData = json_decode($response->getBody()->getContents(), true); dLog('generate')->info('NanoBanana任务状态查询响应: ', $responseData); logDB('generate', 'info', 'NanoBanana任务状态查询', ['task_id' => $apiTaskId, 'response' => $responseData]); if ($responseData['code'] !== 200) { // API返回错误 logDB('generate', 'error', 'NanoBanana任务状态查询失败', ['task_id' => $apiTaskId, 'error' => $responseData['msg'] ?? 'API Error']); return [ 'status' => 'failed', 'error_message' => $responseData['msg'] ?? 'API Error', 'result_url' => null, 'result_json' => $responseData ]; } // 解析API响应 $data = $responseData['data'] ?? []; $taskStatus = $data['status'] ?? 0; $returnData = [ 'status' => 'processing', 'error_message' => null, 'result_url' => null, 'result_json' => $responseData ]; // status: 2表示成功 if ($taskStatus === 2 && isset($data['result']) && !empty($data['result'])) { $result_urls = []; foreach ($data['result'] as $url) { $pic_name = 'ai_generation_nanobanana_' . time() . '_' . uniqid(); $pic_ext = getImgExtFromUrl($url); $pic_name = $pic_name . $pic_ext; if ($pic_ext === '.png') { $comporessed_data = compressRemoteImageUrlToSize($url); $url = uploadStreamByTos('image', $comporessed_data, $pic_name); } else { // 将图片另存到tos $url = uploadStreamByTos('image', file_get_contents($url), $pic_name); } $result_urls[] = $url; } $returnData['result_url'] = $result_urls; $returnData['status'] = 'success'; } elseif ($taskStatus === 3) { // status: 3表示失败 $returnData['status'] = 'failed'; $returnData['error_message'] = $data['message'] ?? '任务执行失败'; } // status: 0或1表示处理中,保持processing状态 return $returnData; } catch (\Exception $e) { return [ 'status' => 'failed', 'error_message' => $e->getMessage(), 'result_url' => null ]; } } /** * 计算最大公约数(用于简化比例) * * @param int $a * @param int $b * @return int */ private function gcd(int $a, int $b): int { while ($b != 0) { $temp = $b; $b = $a % $b; $a = $temp; } return $a; } /** * 创建素材 * * @param array $params * @return array */ public function createAsset(array $params): array { try { // 验证必填参数 if (empty($params['url'])) { return [ 'code' => 1, 'msg' => '素材URL不能为空', 'data' => null ]; } // 先获取表中是否已有该url(仅限智帧AI来源的素材) $asset = DB::table('mp_assets')->where('url', $params['url'])->where('source_type', 'zhizhen')->first(); if ($asset) { return [ 'code' => 0, 'msg' => '创建成功', 'data' => [ 'id' => $asset->id, 'asset_id' => $asset->asset_id, 'group_id' => $asset->group_id, 'group_name' => $asset->group_name, ] ]; } // 获取API配置 $apiKey = env('ZHIZHEN_AI_SK'); $apiUrl = 'https://model-relay.zzengine.net'; if (empty($apiKey)) { return [ 'code' => 1002, 'msg' => '智帧AI API KEY未配置,请检查环境变量ZHIZHEN_AI_SK', 'data' => null ]; } // 构建请求参数 $requestData = [ 'url' => $params['url'], 'asset_type' => $params['asset_type'] ?? MpAsset::TYPE_IMAGE, ]; // 可选参数 if (!empty($params['name'])) { $requestData['name'] = $params['name']; } if (!empty($params['group_id'])) { $requestData['group_id'] = $params['group_id']; } dLog('generate')->info('智帧AI创建素材请求参数: ', $requestData); // 调用智帧AI API $response = $this->httpClient->post($apiUrl . '/api/v1/asset/create', [ 'headers' => [ 'X-Api-Key' => $apiKey, 'Content-Type' => 'application/json', ], 'json' => $requestData, ]); $responseData = json_decode($response->getBody()->getContents(), true); dLog('generate')->info('智帧AI创建素材响应: ', $responseData); logDB('generate', 'info', '智帧AI创建素材', ['params' => $requestData, 'response' => $responseData]); if ($responseData['code'] !== 0) { return [ 'code' => $responseData['code'], 'msg' => $responseData['msg'] ?? '创建素材失败', 'data' => null ]; } // 保存素材记录到数据库 $assetData = $responseData['data'] ?? []; $asset = MpAsset::create([ 'asset_id' => $assetData['asset_id'] ?? '', 'group_id' => $assetData['group_id'] ?? null, 'group_name' => $assetData['group_name'] ?? null, 'name' => $params['name'] ?? null, 'url' => $params['url'], 'asset_type' => $params['asset_type'] ?? MpAsset::TYPE_IMAGE, 'source_type' => 'zhizhen', 'status' => MpAsset::STATUS_PROCESSING, 'extra_params' => $responseData, ]); return [ 'code' => 0, 'msg' => '创建成功', 'data' => [ 'id' => $asset->id, 'asset_id' => $asset->asset_id, 'group_id' => $asset->group_id, 'group_name' => $asset->group_name, ] ]; } catch (\Exception $e) { dLog('generate')->error('创建素材异常: ' . $e->getMessage()); logDB('generate', 'error', '创建素材异常', ['params' => $params, 'error' => $e->getMessage()]); return [ 'code' => 20003, 'msg' => '创建素材失败: ' . $e->getMessage(), 'data' => null ]; } } /** * 查询素材 * * @param string $assetId * @return array */ public function getAsset(string $assetId): array { try { // 验证参数 if (empty($assetId)) { return [ 'code' => 20003, 'msg' => '素材ID不能为空', 'data' => null ]; } // 先获取表中是否已有该素材(仅限智帧AI来源的素材) $assetInfo = DB::table('mp_assets')->where('asset_id', $assetId)->where('source_type', 'zhizhen')->first(); if ($assetInfo) { $assetInfo = (array)$assetInfo; $status = getProp($assetInfo, 'status'); if (in_array($status, ['Active', 'Failed'])) { $assetInfo['id'] = $assetInfo['asset_id']; return [ 'code' => 0, 'msg' => '查询成功', 'data' => [ 'asset' => $assetInfo ] ]; } } // 获取API配置 $apiKey = env('ZHIZHEN_AI_SK'); $apiUrl = 'https://model-relay.zzengine.net'; if (empty($apiKey)) { return [ 'code' => 1002, 'msg' => '智帧AI API KEY未配置,请检查环境变量ZHIZHEN_AI_SK', 'data' => null ]; } dLog('generate')->info('智帧AI查询素材: ' . $assetId); // 调用智帧AI API $response = $this->httpClient->post($apiUrl . '/api/v1/asset/get', [ 'headers' => [ 'X-Api-Key' => $apiKey, 'Content-Type' => 'application/json', ], 'json' => [ 'asset_id' => $assetId, ], ]); $responseData = json_decode($response->getBody()->getContents(), true); dLog('generate')->info('智帧AI查询素材响应: ', $responseData); logDB('generate', 'info', '智帧AI查询素材', ['asset_id' => $assetId, 'response' => $responseData]); if ($responseData['code'] !== 0) { return [ 'code' => $responseData['code'], 'msg' => $responseData['msg'] ?? '查询素材失败', 'data' => null ]; } $assetInfo = $responseData['data']['asset'] ?? []; // 更新本地数据库记录 $localAsset = MpAsset::where('asset_id', $assetId)->first(); if ($localAsset) { $localAsset->update([ 'status' => $assetInfo['status'] ?? MpAsset::STATUS_PROCESSING, 'cover_url' => $assetInfo['url'] ?? null, 'extra_params' => $responseData, ]); } return [ 'code' => 0, 'msg' => '查询成功', 'data' => [ 'asset' => $assetInfo ] ]; } catch (\Exception $e) { dLog('generate')->error('查询素材异常: ' . $e->getMessage()); logDB('generate', 'error', '查询素材异常', ['asset_id' => $assetId, 'error' => $e->getMessage()]); return [ 'code' => 20003, 'msg' => '查询素材失败: ' . $e->getMessage(), 'data' => null ]; } } /** * 更新所有待处理任务的状态 * * @return void */ public function updatePendingTasks(): void { dLog('generate')->info('更新图片状态ing'); // 1. 处理火山API的pending任务(批量提交到队列) $volcPendingTasks = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PENDING) ->whereIn('model', BaseConst::VOLC_PIC_MODELS) ->orderBy('created_at', 'asc') ->limit(self::DISPATCH_CANDIDATE_LIMIT) // 候选窗口需大于每轮派发上限,避免已入队的任务挡住后面的任务 ->get(); $volcDispatched = 0; foreach ($volcPendingTasks as $task) { if ($volcDispatched >= self::DISPATCH_BATCH_LIMIT) { break; } // 同一任务已在队列中或正在执行时跳过,避免重复入队 if (!$this->dispatchTaskOnce(self::DISPATCH_GROUP_VOLC, (int)$task->id, \App\Jobs\ProcessVolcImageGenerationJob::class)) { continue; } dLog('generate')->info('开始分发火山API任务到队列: ' . $task->task_id); $volcDispatched++; } // 2. 处理GPT-Image2的pending任务(批量提交到队列) $gptImage2PendingTasks = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PENDING) ->whereIn('model', BaseConst::GPT_IMAGE2_MODELS) ->orderBy('created_at', 'asc') ->limit(self::DISPATCH_CANDIDATE_LIMIT) // 候选窗口需大于每轮派发上限,避免已入队的任务挡住后面的任务 ->get(); $gptImage2Dispatched = 0; foreach ($gptImage2PendingTasks as $task) { if ($gptImage2Dispatched >= self::DISPATCH_BATCH_LIMIT) { break; } // 同一任务已在队列中或正在执行时跳过,避免重复入队 if (!$this->dispatchTaskOnce(self::DISPATCH_GROUP_GPT_IMAGE2, (int)$task->id, \App\Jobs\ProcessGptImage2GenerationJob::class)) { continue; } dLog('generate')->info('开始分发GPT-Image2任务到队列: ' . $task->task_id); $gptImage2Dispatched++; } // 3. 获取所有处理中的任务(即梦AI和NanoBanana系列需要查询状态) $processingTasks = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PROCESSING) ->whereIn('model', array_merge([self::MODEL_JIMENG_4], BaseConst::NANO_BANANA_MODELS)) ->get(); foreach ($processingTasks as $task) { $statusInfo = $this->queryTaskStatus($task); if ($statusInfo['status'] === 'success') { logDB('generate', 'info', '即梦AI图片生成任务成功', ['task_id' => $task->task_id, 'result_url' => $statusInfo['result_url']]); // 图片生成成功统一处理(事务:状态更新 + 计费 + 分镜同步) $this->handleImageTaskSuccess($task, $statusInfo['result_url'], $statusInfo['result_json'] ?? []); } elseif ($statusInfo['status'] === 'failed') { logDB('generate', 'error', '即梦AI图片生成任务失败', ['task_id' => $task->task_id, 'error' => $statusInfo['error_message']]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => $statusInfo['error_message'], 'result_json' => $statusInfo['result_json'] ?? [] ]); if (getProp($task, 'alias_segment_id')) { DB::table('mp_episode_segments')->where('segment_id', getProp($task, 'alias_segment_id'))->update([ 'pic_task_status' => '失败', ]); } } // 如果仍然是处理中状态,不做任何操作 //处理:如果任务处理超过12小时,标记为失败 $processingTime = now()->diffInHours($task->created_at); if ($processingTime > 12) { logDB('generate', 'warning', '即梦AI图片生成任务超时', ['task_id' => $task->task_id, 'processing_hours' => $processingTime]); $task->updateStatus(MpGeneratePicTask::STATUS_FAILED, [ 'error_message' => '任务处理超时(超过12小时)' ]); } } // 4. 检查是否有任务完成,如果有则处理下一个排队任务(仅即梦AI) $this->processNextQueuedTask(); } /** * 派发单个任务到队列(带派发去重) * * 同一任务在「已入队等待执行」或「正在执行」期间不会重复入队, * 避免每轮扫描(约3秒一次)把同一条任务重复推送进队列。 * * @param string $group 派发分组,用于区分同一任务ID在不同业务下的锁 * @param int $taskId 图片任务ID * @param string $jobClass 队列任务类 * @return bool 本次是否成功入队;false 表示已有同任务的 job 在队列中或执行中 */ private function dispatchTaskOnce(string $group, int $taskId, string $jobClass): bool { if (!self::acquireTaskDispatchLock($group, $taskId)) { return false; } try { $jobClass::dispatch($taskId)->onConnection('redis'); } catch (\Throwable $e) { // 入队失败必须释放锁,否则该任务在锁过期前无法再次派发 self::releaseTaskDispatchLock($group, $taskId); throw $e; } return true; } /** * 获取任务派发锁 * * 在队列所在的 Redis 连接上执行原生 `SET key value EX ttl NX` 原子命令, * 不依赖 Lua 脚本(部分 Redis 会禁用 EVAL)也不需要额外的缓存 store 配置。 * * @param string $group * @param int $taskId * @return bool true 表示获取成功(可以入队) */ public static function acquireTaskDispatchLock(string $group, int $taskId): bool { try { $result = Redis::connection(self::DISPATCH_LOCK_CONNECTION)->set( self::buildTaskDispatchLockKey($group, $taskId), 1, 'EX', self::DISPATCH_LOCK_TTL, 'NX' ); // NX 未命中时:predis 返回 null,phpredis 返回 false return $result !== null && $result !== false; } catch (\Throwable $e) { // 锁不可用时降级为不去重(与旧逻辑一致),避免任务因此完全无法派发 dLog('generate')->warning('获取图片任务派发锁失败,本次不拦截重复派发', [ 'group' => $group, 'task_id' => $taskId, 'error' => $e->getMessage(), ]); return true; } } /** * 释放任务派发锁 * * 在任务执行结束、任务已由其它流程处理、任务最终失败时调用; * 未释放的锁会在 DISPATCH_LOCK_TTL 后自动过期,保证任务仍能被重新派发。 * * @param string $group * @param int $taskId * @return void */ public static function releaseTaskDispatchLock(string $group, int $taskId): void { try { Redis::connection(self::DISPATCH_LOCK_CONNECTION)->del( self::buildTaskDispatchLockKey($group, $taskId) ); } catch (\Throwable $e) { // 释放失败不影响主流程,锁会由 TTL 自动过期 dLog('generate')->warning('释放图片任务派发锁失败', [ 'group' => $group, 'task_id' => $taskId, 'error' => $e->getMessage(), ]); } } /** * 构建任务派发锁 key * * @param string $group * @param int $taskId * @return string */ public static function buildTaskDispatchLockKey(string $group, int $taskId): string { return self::DISPATCH_LOCK_PREFIX . $group . ':' . $taskId; } /** * 处理下一个排队的任务 * * @return void */ public function processNextQueuedTask(): void { // 检查是否还有正在处理的任务(仅即梦AI) if ($this->hasProcessingTask()) { return; // 如果还有处理中的任务,不处理新任务 } // 获取最早的待处理任务(仅即梦AI) $nextTask = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PENDING) ->where('model', self::MODEL_JIMENG_4) ->orderBy('created_at', 'asc') ->first(); if ($nextTask) { dLog('generate')->info('开始处理排队任务: ' . $nextTask->task_id); logDB('generate', 'info', '开始处理即梦AI排队任务', ['task_id' => $nextTask->task_id]); $this->submitTaskToJimengApi($nextTask); } } /** * 获取任务队列状态 * * @return array */ public function getQueueStatus(): array { $processingCount = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PROCESSING)->count(); $pendingCount = MpGeneratePicTask::where('status', MpGeneratePicTask::STATUS_PENDING)->count(); return [ 'processing_count' => $processingCount, 'pending_count' => $pendingCount, 'can_submit_new_task' => $processingCount === 0 ]; } /** * 处理智帧AI的参考图片转素材 * * @param array $referenceImages 参考图片URL数组 * @param string &$fullPrompt 完整提示词(引用传递,用于删除失败图片的标记) * @return array 返回素材ID数组 */ public function processReferenceImagesToAssets(array $referenceImages, string &$fullPrompt): array { return $this->processReferenceAssetsToZhizhenAssets($referenceImages, MpAsset::TYPE_IMAGE, '图片', '图片', $fullPrompt); } /** * 处理智帧AI的参考视频转素材 * * @param array $referenceVideos 参考视频URL数组 * @param string &$fullPrompt 完整提示词(引用传递,用于删除失败视频的标记) * @return array 返回素材ID数组 */ public function processReferenceVideosToAssets(array $referenceVideos, string &$fullPrompt): array { return $this->processReferenceAssetsToZhizhenAssets($referenceVideos, MpAsset::TYPE_VIDEO, '视频', '视频', $fullPrompt); } /** * 处理智帧AI的参考音频转素材 * * @param array $referenceAudios 参考音频URL数组 * @param string &$fullPrompt 完整提示词(引用传递,用于删除失败音频的标记) * @return array 返回素材ID数组 */ public function processReferenceAudiosToAssets(array $referenceAudios, string &$fullPrompt): array { return $this->processReferenceAssetsToZhizhenAssets($referenceAudios, MpAsset::TYPE_AUDIO, '音频', '音频', $fullPrompt); } /** * 处理智帧AI的参考素材转素材(图片/视频/音频通用方法) * * @param array $urls 参考素材URL数组 * @param string $assetType 素材类型(Image/Video/Audio) * @param string $label 素材中文名(图片/视频/音频),用于日志与素材命名 * @param string $tagName 提示词标记名(图片/视频/音频),用于 <{tagName}N> 标记的清理 * @param string &$fullPrompt 完整提示词(引用传递,用于删除失败素材的标记) * @return array 返回素材ID数组(asset://格式) */ private function processReferenceAssetsToZhizhenAssets(array $urls, string $assetType, string $label, string $tagName, string &$fullPrompt): array { $assetIds = []; $failedIndexes = []; // 记录失败的素材序号 foreach ($urls as $index => $url) { $mediaIndex = $index + 1; // 素材序号从1开始 try { dLog('generate')->info("开始处理参考{$label} {$mediaIndex}: {$url}"); // 1. 创建素材 $createResult = $this->createAsset([ 'url' => $url, 'asset_type' => $assetType, 'name' => "参考{$label}_{$mediaIndex}_" . time(), ]); if ($createResult['code'] !== 0) { dLog('generate')->warning("{$label} {$mediaIndex} 创建素材失败: " . $createResult['msg']); logDB('generate', 'warning', '创建素材失败', [ 'url' => $url, 'asset_type' => $assetType, 'index' => $mediaIndex, 'error' => $createResult['msg'] ]); $failedIndexes[] = $mediaIndex; continue; } $assetId = $createResult['data']['asset_id']; dLog('generate')->info("{$label} {$mediaIndex} 素材创建成功,asset_id: {$assetId},开始轮询查询状态"); // 2. 轮询查询素材状态(每3秒查询一次,最多查询100次即5分钟) $maxAttempts = 100; $attempt = 0; $assetStatus = null; while ($attempt < $maxAttempts) { sleep(3); // 等待3秒 $attempt++; $getResult = $this->getAsset($assetId); if ($getResult['code'] !== 0) { dLog('generate')->warning("{$label} {$mediaIndex} 查询素材状态失败: " . $getResult['msg']); continue; } $assetStatus = $getResult['data']['asset']['status'] ?? null; dLog('generate')->info("{$label} {$mediaIndex} 素材状态查询第 {$attempt} 次,状态: {$assetStatus}"); if ($assetStatus === 'Active') { // 素材可用 $assetIds[] = $assetId; dLog('generate')->info("{$label} {$mediaIndex} 素材处理成功,asset_id: {$assetId}"); logDB('generate', 'info', '素材转换成功', [ 'url' => $url, 'asset_type' => $assetType, 'index' => $mediaIndex, 'asset_id' => $assetId ]); break; } elseif ($assetStatus === 'Failed') { // 素材处理失败 dLog('generate')->warning("{$label} {$mediaIndex} 素材处理失败"); logDB('generate', 'warning', '素材处理失败', [ 'url' => $url, 'asset_type' => $assetType, 'index' => $mediaIndex, 'asset_id' => $assetId ]); $failedIndexes[] = $mediaIndex; break; } // 其他状态(Processing等)继续等待 } // 如果超时还未成功 if ($attempt >= $maxAttempts && $assetStatus !== 'Active') { dLog('generate')->warning("{$label} {$mediaIndex} 素材处理超时"); logDB('generate', 'warning', '素材处理超时', [ 'url' => $url, 'asset_type' => $assetType, 'index' => $mediaIndex, 'asset_id' => $assetId, 'last_status' => $assetStatus ]); $failedIndexes[] = $mediaIndex; } } catch (\Exception $e) { dLog('generate')->error("{$label} {$mediaIndex} 处理异常: " . $e->getMessage()); logDB('generate', 'error', '素材转换异常', [ 'url' => $url, 'asset_type' => $assetType, 'index' => $mediaIndex, 'error' => $e->getMessage() ]); $failedIndexes[] = $mediaIndex; } } // 处理失败的素材:从 fullPrompt 中删除对应的标记并调整序号 if (!empty($failedIndexes)) { dLog('generate')->info("开始处理失败{$label}的提示词调整,失败序号: " . implode(',', $failedIndexes)); // 按序号从大到小排序,避免删除时影响后续序号 rsort($failedIndexes); foreach ($failedIndexes as $failedIndex) { // 删除失败素材的标记,例如 <图片1>、<视频2>、<音频3> 等 $pattern = "/<{$tagName}{$failedIndex}>/u"; $fullPrompt = preg_replace($pattern, '', $fullPrompt); dLog('generate')->info("已从提示词中删除 <{$tagName}{$failedIndex}>"); } // 重新调整剩余素材的序号 // 例如:如果素材2失败,素材3、素材4需要改为素材2、素材3 $needAdjust = false; foreach ($failedIndexes as $failedIndex) { $needAdjust = true; // 将所有大于失败序号的素材标记序号减1 for ($i = $failedIndex + 1; $i <= count($urls); $i++) { $oldPattern = "/<{$tagName}{$i}>/u"; $newTag = "<{$tagName}" . ($i - 1) . ">"; $fullPrompt = preg_replace($oldPattern, $newTag, $fullPrompt); } } if ($needAdjust) { dLog('generate')->info("提示词{$label}序号调整完成"); logDB('generate', 'info', '提示词调整', [ 'failed_indexes' => $failedIndexes, 'adjusted_prompt' => $fullPrompt ]); } } dLog('generate')->info("参考{$label}转素材完成,成功数量: " . count($assetIds) . ',失败数量: ' . count($failedIndexes)); // 格式化为可直接在API接口中使用的数组 foreach ($assetIds as &$assetId) { $assetId = "asset://{$assetId}"; } unset($assetId); return $assetIds; } /** * 根据宽高反推图片比例 * @param int $width 宽度 * @param int $height 高度 * @return string 比例字符串,如 "9:16",匹配不到则返回 "auto" */ private function getRatioFromSize($width, $height) { if (!$width || !$height) { return 'auto'; } // 遍历所有预定义的比例,查找匹配的 foreach (BaseConst::IMAGE_RATIOS as $ratio => $size) { if ($size['width'] == $width && $size['height'] == $height) { return $ratio; } } // 没有精确匹配,尝试通过计算比例匹配 $gcd = $this->gcd($width, $height); $simplifiedRatio = ($width / $gcd) . ':' . ($height / $gcd); // 检查简化后的比例是否在预定义列表中 if (isset(BaseConst::IMAGE_RATIOS[$simplifiedRatio])) { return $simplifiedRatio; } return 'auto'; } /** * 压缩图片流(针对PNG格式) * * @param string $imageStream 图片二进制数据 * @param int $maxBytes 最大字节数(默认3MB) * @return string|null 压缩后的图片二进制数据,失败时返回原数据 */ private function compressImageStream(string $imageStream, int $maxBytes = 3 * 1024 * 1024): ?string { try { // 检查图片类型 $imgInfo = @getimagesizefromstring($imageStream); if (!$imgInfo) { dLog('generate')->warning('无法识别图片类型,返回原始数据'); return $imageStream; } $mime = $imgInfo['mime'] ?? ''; // 只处理PNG,JPEG不做有损压缩 if ($mime === 'image/jpeg') { return $imageStream; } // 如果已经小于最大限制,直接返回 if (strlen($imageStream) <= $maxBytes) { return $imageStream; } // 载入图像对象 $srcImg = @imagecreatefromstring($imageStream); if (!$srcImg) { dLog('generate')->warning('无法创建图像资源,返回原始数据'); return $imageStream; } $origW = imagesx($srcImg); $origH = imagesy($srcImg); // 逐步降低质量直到满足大小要求 $quality = 9; // PNG压缩等级 0-9 $scaleFactor = 1.0; $maxAttempts = 10; $attempt = 0; $compressedData = null; while ($attempt < $maxAttempts) { $attempt++; // 如果需要缩放 if ($scaleFactor < 1.0) { $newW = (int)($origW * $scaleFactor); $newH = (int)($origH * $scaleFactor); $resizedImg = imagecreatetruecolor($newW, $newH); // 保持透明度 imagealphablending($resizedImg, false); imagesavealpha($resizedImg, true); imagecopyresampled($resizedImg, $srcImg, 0, 0, 0, 0, $newW, $newH, $origW, $origH); $targetImg = $resizedImg; } else { $targetImg = $srcImg; } // 输出到内存 ob_start(); imagepng($targetImg, null, $quality); $compressedData = ob_get_clean(); if ($scaleFactor < 1.0) { imagedestroy($targetImg); } // 检查大小 $size = strlen($compressedData); dLog('generate')->info('图片压缩尝试', [ 'attempt' => $attempt, 'quality' => $quality, 'scale' => $scaleFactor, 'size' => $size, 'target' => $maxBytes ]); if ($size <= $maxBytes) { break; } // 调整参数 if ($quality > 0) { $quality--; } else { $scaleFactor *= 0.9; // 每次缩小10% } } imagedestroy($srcImg); return $compressedData ?: $imageStream; } catch (\Exception $e) { dLog('generate')->error('图片压缩失败', ['error' => $e->getMessage()]); return $imageStream; } } /** * 从响应数据中移除 b64_json 字段 * 避免在日志和数据库中存储大量 Base64 数据 * * @param array $responseData * @return array */ private function removeB64JsonFromResponse(array $responseData): array { $cleanedData = $responseData; if (isset($cleanedData['data']) && is_array($cleanedData['data'])) { foreach ($cleanedData['data'] as &$imageData) { if (isset($imageData['b64_json'])) { // 移除 b64_json 字段,可选择性保留数据长度信息 $b64Length = strlen($imageData['b64_json']); unset($imageData['b64_json']); $imageData['b64_json_removed'] = true; $imageData['b64_json_length'] = $b64Length; } } unset($imageData); // 解除引用 } return $cleanedData; } }