forked from 77media/video-flow
331 lines
12 KiB
TypeScript
331 lines
12 KiB
TypeScript
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/**============因协同任务开发流程没有明确管理，导致的必要的适配=================**/
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import { VideoSegmentEntity } from "../domain/Entities";
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import { LensType, ContentItem } from "../domain/valueObject";
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export type task_item = {
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/** 镜头1描述 */
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shot_1: string;
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/** 镜头2描述 */
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shot_2: string;
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/** 镜头3描述 */
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shot_3: string;
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/** 镜头4描述 */
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shot_4: string;
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/** 镜头5描述 */
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shot_5: string;
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/** 镜头6描述 */
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shot_6: string;
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/** 镜头7描述 */
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shot_7: string;
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/** 镜头8描述 */
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shot_8: string;
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/** 镜头9描述 */
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shot_9: string;
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/** 镜头10描述 */
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shot_10: string;
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}
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/**
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* @description 视频片段后端结构
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*/
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export class VideoSegmentEntityAdapter {
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/** 原始文本 */
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original_text: string = "";
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/** 任务状态 */
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task_status: string = "";
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/** 任务结果 */
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task_result: Array<{
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/** 叙事目标 */
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narrative_goal: string;
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/** 镜头1描述 */
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shot_1: string;
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/** 镜头2描述 */
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shot_2: string;
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/** 镜头3描述 */
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shot_3: string;
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/** 镜头4描述 */
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shot_4: string;
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/** 镜头5描述 */
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shot_5: string;
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/** 镜头6描述 */
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shot_6: string;
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/** 镜头7描述 */
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shot_7: string;
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/** 镜头8描述 */
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shot_8: string;
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/** 镜头9描述 */
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shot_9: string;
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/** 镜头10描述 */
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shot_10: string;
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/** 视频列表 */
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videos: Array<{
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/** 视频地址 */
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video_url: string;
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}>;
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}> = [];
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/**
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* @description 解析shotContent，分离镜头描述和对话内容
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* @param shotContent 原始shot内容
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* @returns {description: string, dialogues: ContentItem[]} 解析后的描述和对话内容
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*/
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static parseShotContent(shotContent: string): { description: string; dialogues: ContentItem[] } {
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const lines = shotContent.split('\n').map(line => line.trim()).filter(line => line.length > 0);
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const dialogues: ContentItem[] = [];
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let descriptionLines: string[] = [];
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for (const line of lines) {
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// 检查是否是对话行，格式：人物名称[CH-XX]: 对话内容
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const dialogueMatch = line.match(/^(.+?)\s*\[CH-\d+\]:\s*(.+)$/);
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if (dialogueMatch) {
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const roleName = dialogueMatch[1].trim();
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const content = dialogueMatch[2].trim();
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dialogues.push({
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roleName,
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content
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});
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} else {
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// 如果不是对话行，则认为是描述内容
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descriptionLines.push(line);
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}
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}
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const description = descriptionLines.join('\n');
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return { description, dialogues };
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}
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/**
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* @description 将后端数据结构转换为VideoSegmentEntity数组
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* @param data 后端数据结构
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* @returns VideoSegmentEntity[] 视频片段实体数组
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*/
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static toVideoSegmentEntity(data: VideoSegmentEntityAdapter): VideoSegmentEntity[] {
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const entities: VideoSegmentEntity[] = [];
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if (data.task_result && data.task_result.length > 0) {
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// 遍历task_result中的每一项
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data.task_result.forEach((result, index) => {
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// 从task_result中提取镜头信息
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const lens: LensType[] = [];
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// 处理镜头1到镜头10
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for (let i = 1; i <= 10; i++) {
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const shotKey = `shot_${i}` as keyof typeof result;
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const shotContent = (result as any)[shotKey] as string;
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if (shotContent && shotContent.trim()) {
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// 解析shotContent，分离镜头描述和对话内容
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const { description, dialogues } = this.parseShotContent(shotContent);
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// 创建镜头项，包含描述和对话内容
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const lensItem = new LensType(`shot_${i}`, description, dialogues);
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lens.push(lensItem);
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}
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}
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// 如果没有任何镜头但有narrative_goal，将其作为镜头1
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if (lens.length === 0 && result.narrative_goal) {
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const narrativeLens = new LensType("镜头1", result.narrative_goal, []);
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lens.push(narrativeLens);
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}
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// 提取视频URL列表
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const videoUrls: string[] = [];
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if (result.videos && result.videos.length > 0) {
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videoUrls.push(...result.videos.map(video => video.video_url));
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}
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// 根据task_status确定状态
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let status: 0 | 1 | 2 = 1; // 默认为已完成状态
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if (data.task_status === "INIT" || data.task_status === "IN_PROGRESS") {
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status = 0; // 视频加载中（INIT和IN_PROGRESS都当成进行中）
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} else if (data.task_status === "COMPLETED") {
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status = 1; // 任务已完成
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} else if (data.task_status === "FAILED") {
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status = 2; // 任务失败
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}
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// 创建VideoSegmentEntity
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const entity: VideoSegmentEntity = {
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id: `video_mock_${index}`, // 生成临时ID，包含索引
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updatedAt: Date.now(),
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loadingProgress: status === 1 ? 100 : status === 0 ? 50 : 0, // 已完成100%，进行中50%，失败0%
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disableEdit: false,
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name: `视频片段_${index}`, // 生成临时名称，包含索引
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sketchUrl: "", // 后端数据中没有sketchUrl，设为空字符串
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videoUrl: videoUrls,
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status: status,
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lens: lens
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};
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entities.push(entity);
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});
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}
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return entities;
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}
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/**
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* @description 将VideoSegmentEntity数组转换为后端数据结构
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* @param entities 视频片段实体数组
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* @returns VideoSegmentEntityAdapter 后端数据结构
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*/
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static fromVideoSegmentEntity(entities: VideoSegmentEntity[]): VideoSegmentEntityAdapter {
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const taskResults: Array<{
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narrative_goal: string;
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shot_1: string;
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shot_2: string;
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shot_3: string;
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shot_4: string;
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shot_5: string;
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shot_6: string;
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shot_7: string;
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shot_8: string;
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shot_9: string;
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shot_10: string;
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videos: Array<{ video_url: string }>;
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}> = [];
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// 遍历每个实体，转换为task_result项
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entities.forEach(entity => {
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// 从lens中提取镜头描述（支持镜头1到镜头10）
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const shots: { [key: string]: string } = {};
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for (let i = 1; i <= 10; i++) {
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const lensItem = entity.lens.find(lens => lens.name === `shot_${i}`);
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if (lensItem) {
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// 重新组合镜头描述和对话内容
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let fullContent = lensItem.script;
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// 如果有对话内容，添加到镜头描述后面
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if (lensItem.content && lensItem.content.length > 0) {
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const dialogueLines = lensItem.content.map(dialogue =>
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`${dialogue.roleName} [CH-01]: ${dialogue.content}`
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);
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fullContent += '\n' + dialogueLines.join('\n');
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}
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shots[`shot_${i}`] = fullContent;
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} else {
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shots[`shot_${i}`] = "";
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}
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}
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// 如果有更多镜头，可以合并到narrative_goal中
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let narrative_goal = "";
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const additionalLenses = entity.lens
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.filter(lens => !lens.name.match(/^shot_[1-9]$|^shot_10$/))
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.map(lens => `${lens.name}: ${lens.script}`)
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.join("; ");
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if (additionalLenses) {
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narrative_goal = additionalLenses;
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}
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// 构建videos数组
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const videos = entity.videoUrl.map(url => ({
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video_url: url
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}));
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taskResults.push({
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narrative_goal: narrative_goal,
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shot_1: shots.shot_1 || "",
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shot_2: shots.shot_2 || "",
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shot_3: shots.shot_3 || "",
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shot_4: shots.shot_4 || "",
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shot_5: shots.shot_5 || "",
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shot_6: shots.shot_6 || "",
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shot_7: shots.shot_7 || "",
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shot_8: shots.shot_8 || "",
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shot_9: shots.shot_9 || "",
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shot_10: shots.shot_10 || "",
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videos: videos
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});
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});
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// 根据第一个实体的status确定task_status（如果数组为空，默认为COMPLETED）
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let task_status: string = "COMPLETED";
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if (entities.length > 0) {
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const firstEntity = entities[0];
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if (firstEntity.status === 0) {
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task_status = "IN_PROGRESS"; // 视频加载中映射为IN_PROGRESS
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} else if (firstEntity.status === 1) {
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task_status = "COMPLETED"; // 任务已完成
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} else if (firstEntity.status === 2) {
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task_status = "FAILED"; // 任务失败
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}
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}
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// 创建VideoSegmentEntityAdapter
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const adapter = new VideoSegmentEntityAdapter();
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adapter.original_text = ""; // 实体中没有original_text，设为空字符串
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adapter.task_status = task_status;
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adapter.task_result = taskResults;
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return adapter;
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}
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/**
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* @description 将LensType数组转换为task_item类型
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* @param lensTypes 镜头类型数组
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* @returns task_item 任务项
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*/
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static lensTypeToTaskItem(lensTypes: LensType[]): task_item {
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// 初始化镜头对象，所有字段设为空字符串
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const shots: { [key: string]: string } = {
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shot_1: "",
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shot_2: "",
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shot_3: "",
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shot_4: "",
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shot_5: "",
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shot_6: "",
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shot_7: "",
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shot_8: "",
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shot_9: "",
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shot_10: ""
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};
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// 遍历所有LensType，处理镜头1到镜头10
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lensTypes.forEach(lensType => {
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const shotMatch = lensType.name.match(/^shot_(\d+)$/);
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if (shotMatch) {
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const shotNumber = shotMatch[1];
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const shotKey = `shot_${shotNumber}` as keyof typeof shots;
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// 重新组合镜头描述和对话内容
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let fullContent = lensType.script;
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// 如果有对话内容，添加到镜头描述后面
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if (lensType.content && lensType.content.length > 0) {
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const dialogueLines = lensType.content.map(dialogue =>
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`${dialogue.roleName} [CH-01]: ${dialogue.content}`
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);
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fullContent += '\n' + dialogueLines.join('\n');
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}
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shots[shotKey] = fullContent;
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}
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});
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// 返回完整的task_item对象
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return {
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shot_1: shots.shot_1,
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shot_2: shots.shot_2,
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shot_3: shots.shot_3,
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shot_4: shots.shot_4,
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shot_5: shots.shot_5,
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shot_6: shots.shot_6,
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shot_7: shots.shot_7,
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shot_8: shots.shot_8,
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shot_9: shots.shot_9,
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shot_10: shots.shot_10
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};
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}
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}
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/**视频片段基础数据 */
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export interface TaskSketch {
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url: string;
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video_id: string;
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}
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