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AI视频人生规划项目综合分析\n\n## 1. 项目介绍\n\n### 项目目的\nAI视频人生规划项目是一个混合式Python/Node.js系统，旨在将静态的财务规划PDF报告和访谈视频自动转化为动态、个性化的3-5分钟解说视频。该项目通过整合AI技术、数据可视化和多媒体处理，为用户提供直观易懂的人生财务规划展示。\n\n### 核心目标\n- 将复杂的财务数据转化为易于理解的视觉内容\n- 通过AI生成自然流畅的日语解说脚本\n- 自动化视频制作流程，提高内容生产效率\n- 结合图表动画、AI解说、B-Roll素材和访谈片段，创造沉浸式观看体验\n\n### 目标用户\n- 金融顾问和理财规划师\n- 保险代理人\n- 财务咨询公司\n- 需要向客户展示人生规划方案的专业人士\n\n## 2. 技术架构\n\n### 组件分解\n项目采用前后端分离的混合架构，后端使用Python进行数据处理和AI推理，前端使用Node.js/TypeScript通过Remotion进行视频渲染。\n\n```mermaid\nflowchart TD\n    A[输入] --\u003e B[Python后端]\n    B --\u003e C[数据处理]\n    C --\u003e D[AI推理]\n    D --\u003e E[render_props.json]\n    E --\u003e F[Remotion前端]\n    F --\u003e G[视频渲染]\n    G --\u003e H[输出视频]\n    \n    subgraph Python后端\n        C1[PDF提取器]\n        C2[视频提取器]\n        C3[脚本生成器]\n        C4[媒体获取器]\n        C5[数据构建器]\n    end\n    \n    subgraph Remotion前端\n        F1[Root组件]\n        F2[LifePlanChart]\n        F3[CashFlowChart]\n        F4[UnifiedHUD]\n    end\n```\n\n### 设计模式\n项目采用了典型的管道-过滤器架构模式，每个处理步骤都是一个独立的模块，通过标准化的数据格式（render_props.json）进行通信。这种设计提高了系统的可维护性和可扩展性。\n\n### 数据流\n```mermaid\nflowchart LR\n    A[PDF报告] --\u003e B[PDF提取]\n    C[访谈视频] --\u003e D[视频提取]\n    B --\u003e E[脚本生成]\n    D --\u003e E\n    E --\u003e F[获取B-Roll]\n    B --\u003e G[数据构建]\n    G --\u003e H[生成render_props.json]\n    H --\u003e I[Remotion渲染]\n    I --\u003e J[最终视频]\n```\n\n## 3. 关键实现\n\n### 主要入口点\n- **main.py**: 项目的主要CLI入口点，负责协调整个视频生成流程\n- **src/index.ts**: Remotion渲染的入口点，注册根组件\n\n### 核心模块\n- **backend/extractor.py**: 负责从PDF和视频中提取数据\n- **backend/scripter.py**: 使用Gemini Pro生成日语解说脚本\n- **backend/data_builder.py**: 构建图表数据和财务模拟\n- **backend/media_fetcher.py**: 从Pexels API获取B-Roll素材\n\n### 配置方法\n项目使用环境变量进行配置管理，通过`.env`文件存储API密钥等敏感信息。主要依赖的API包括：\n- GEMINI_API_KEY: Google Gemini API\n- OPENAI_API_KEY: OpenAI Whisper用于音频转录\n- PEXELS_API_KEY: Pexels用于获取B-Roll素材\n\n### 外部依赖\n- **Python依赖**: python-dotenv, ffmpeg-python, requests, tqdm, rich\n- **Node.js依赖**: Remotion, React 19, Recharts, TypeScript\n\n### 集成点\n- **Google Gemini 1.5 Pro**: 用于PDF解析和脚本生成\n- **OpenAI Whisper**: 用于音频转录\n- **FFmpeg**: 用于视频处理\n- **Pexels API**: 用于获取B-Roll素材\n\n```mermaid\ngraph LR\n    A[Google Gemini] --\u003e B[PDF解析]\n    A --\u003e C[脚本生成]\n    D[OpenAI Whisper] --\u003e E[音频转录]\n    F[FFmpeg] --\u003e G[视频处理]\n    H[Pexels API] --\u003e I[B-Roll获取]\n    B --\u003e J[数据处理]\n    C --\u003e J\n    E --\u003e J\n    G --\u003e J\n    I --\u003e J\n    J --\u003e K[视频渲染]\n```\n\n## 4. 关键功能\n\n### 功能概述\n项目实现了从静态财务报告到动态视频的完整自动化转换流程，包括数据提取、脚本生成、素材获取、数据可视化和视频渲染等关键功能。\n\n### 实现亮点\n- **AI驱动的内容生成**: 使用Google Gemini Pro从PDF中提取结构化数据并生成自然流畅的日语解说脚本\n- **财务模拟引擎**: 基于用户输入的财务数据，模拟未来资产消耗和现金流情况\n- **智能B-Roll获取**: 根据脚本内容自动获取相关的B-Roll素材，增强视频表现力\n- **动态图表渲染**: 使用Recharts创建专业的财务图表动画\n\n### 功能架构\n```mermaid\nstateDiagram-v2\n    [*] --\u003e 输入\n    输入 --\u003e 数据提取: PDF/视频\n    数据提取 --\u003e 脚本生成: 结构化数据\n    脚本生成 --\u003e B-Roll获取: 关键词\n    B-Roll获取 --\u003e 数据构建: 媒体素材\n    数据构建 --\u003e 视频渲染: render_props.json\n    视频渲染 --\u003e 输出: MP4视频\n    输出 --\u003e [*]\n    \n    state \"数据提取\" as extract {\n        [*] --\u003e PDF提取\n        [*] --\u003e 视频提取\n        PDF提取 --\u003e [*]\n        视频提取 --\u003e [*]\n    }\n    \n    state \"脚本生成\" as script {\n        [*] --\u003e GeminiPro\n        GeminiPro --\u003e [*]\n    }\n    \n    state \"数据构建\" as build {\n        [*] --\u003e 财务模拟\n        [*] --\u003e 图表数据\n        财务模拟 --\u003e [*]\n        图表数据 --\u003e [*]\n    }\n```\n\nSources:\n- [PROJECT_README.md](PROJECT_README.md)\n- [main.py](main.py)\n- [backend/scripter.py](backend/scripter.py)\n- [backend/data_builder.py](backend/data_builder.py)\n- [backend/media_fetcher.py](backend/media_fetcher.py)\n- [backend/extractor.py](backend/extractor.py)\n- [src/index.ts](src/index.ts)\n\u003c/blog\u003e","gmt_create":"2026-01-14T13:45:02.220001+08:00","gmt_modified":"2026-01-14T13:45:02.220001+08:00","id":"fe0a0668-6114-4351-82af-a90646ed34c6","repo_id":"eaf0fa61-d4de-4e44-bbfb-280b61b7275e"},"wiki_readme":{"content":"No readme file","gmt_create":"2026-01-14T13:44:31.660372+08:00","gmt_modified":"2026-01-14T13:44:31.660372+08:00","id":"9cbc706e-4aff-48d2-9494-bc5db3285836","repo_id":"eaf0fa61-d4de-4e44-bbfb-280b61b7275e"},"wiki_repo":{"id":"eaf0fa61-d4de-4e44-bbfb-280b61b7275e","name":"AI-video-lifeplan-demo","progress_status":"completed","wiki_present_status":"COMPLETED","optimized_catalog":"\".\\n├── assets\\\\\\n│   ├── 0_input\\\\\\n│   │   └── .gitkeep\\n│   ├── 1_processed\\\\\\n│   │   ├── subtitle_investigation\\\\\\n│   │   │   ├── complete_comparison.json\\n│   │   │   ├── №１_基本情報_movie_comparison.json\\n│   │   │   ├── №１_基本情報_second_comparison.json\\n│   │   │   └── №１_基本情報_word_comparison.json\\n│   │   ├── video_extractions\\\\\\n│   │   │   ├── all_extractions.json\\n│   │   │   ├── №１_基本情報_extraction.json\\n│   │   │   └── №２_ライフイベント_extraction.json\\n│   │   ├── .gitkeep\\n│   │   ├── broll_fetch_results.json\\n│   │   └── translation_cache.json\\n│   └── 2_output\\\\\\n│       └── .gitkeep\\n├── backend\\\\\\n│   ├── video_processor\\\\\\n│   │   ├── __init__.py\\n│   │   ├── schemas.py\\n│   │   ├── strategy_audio.py\\n│   │   ├── strategy_direct.py\\n│   │   └── utils.py\\n│   ├── SUBTITLE_INVESTIGATION_README.md\\n│   ├── __init__.py\\n│   ├── data_builder.py\\n│   ├── extractor.py\\n│   ├── investigate_media_fetch.py\\n│   ├── investigate_subtitle_extraction.py\\n│   ├── investigate_video_extraction.py\\n│   ├── media_fetcher.py\\n│   └── scripter.py\\n├── frontend\\\\src\\\\\\n│   └── render-props-types.ts\\n├── src\\\\\\n│   ├── CashFlowChart.tsx\\n│   ├── Composition.tsx\\n│   ├── DualChartView.tsx\\n│   ├── LifePlanBarChart.tsx\\n│   ├── LifePlanChart.tsx\\n│   ├── Root.tsx\\n│   ├── UnifiedHUD.tsx\\n│   ├── index.ts\\n│   ├── mock-cashflow-original.json\\n│   ├── mock-cashflow.json\\n│   ├── mock-data.json\\n│   └── types.ts\\n├── tests\\\\\\n│   ├── fixtures\\\\\\n│   │   ├── .gitkeep\\n│   │   └── README.md\\n│   ├── test_video_cli.py\\n│   └── test_video_processor.py\\n├── .env.example\\n├── .gitignore\\n├── .prettierignore\\n├── .prettierrc\\n├── PROJECT_README.md\\n├── eslint.config.mjs\\n├── main.py\\n├── package-lock.json\\n├── package.json\\n├── remotion.config.ts\\n├── requirements.txt\\n├── tsconfig.json\\n└── verify_structure.py\\n\"","current_document_structure":"WikiEncrypted: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