feat: Add complete Agentic Compaction & Pipeline System
- Context Compaction System with token counting and summarization - Deterministic State Machine for flow control (no LLM decisions) - Parallel Execution Engine (up to 12 concurrent sessions) - Event-Driven Coordination via Event Bus - Agent Workspace Isolation (tools, memory, identity, files) - YAML Workflow Integration (OpenClaw/Lobster compatible) - Claude Code integration layer - Complete demo UI with real-time visualization - Comprehensive documentation and README Components: - agent-system/: Context management, token counting, subagent spawning - pipeline-system/: State machine, parallel executor, event bus, workflows - skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.) - src/app/: Next.js demo application Total: ~100KB of production-ready TypeScript code
This commit is contained in:
Z User
21
skills/podcast-generate/LICENSE.txt
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21
skills/podcast-generate/LICENSE.txt
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||||
MIT License
|
||||
|
||||
Copyright (c) 2025 z-ai-web-dev-sdk Skills
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||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
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||||
198
skills/podcast-generate/SKILL.md
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198
skills/podcast-generate/SKILL.md
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---
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name: Podcast Generate
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description: Generate podcast episodes from user-provided content or by searching the web for specified topics. If user uploads a text file/article, creates a dual-host dialogue podcast (or single-host upon request). If no content is provided, searches the web for information about the user-specified topic and generates a podcast. Duration scales with content size (3-20 minutes, ~240 chars/min). Uses z-ai-web-dev-sdk for LLM script generation and TTS audio synthesis. Outputs both a podcast script (Markdown) and a complete audio file (WAV).
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license: MIT
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---
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# Podcast Generate Skill（TypeScript 版本）
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根据用户提供的资料或联网搜索结果，自动生成播客脚本与音频。
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|
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该 Skill 适用于：
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- 长文内容的快速理解和播客化
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- 知识型内容的音频化呈现
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- 热点话题的深度解读和讨论
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- 实时信息的搜索和播客制作
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|
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---
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## 能力说明
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|
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### 本 Skill 可以做什么
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- **从文件生成**：接收一篇资料（txt/md/docx/pdf等文本格式），生成对谈播客脚本和音频
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- **联网搜索生成**：根据用户指定的主题，联网搜索最新信息，生成播客脚本和音频
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- 自动控制时长，根据内容长度自动调整（3-20 分钟）
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- 生成 Markdown 格式的播客脚本（可人工编辑）
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- 使用 z-ai TTS 合成高质量音频并拼接为最终播客
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|
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### 本 Skill 当前不做什么
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- 不生成 mp3 / 字幕 / 时间戳
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- 不支持三人及以上播客角色
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- 不加入背景音乐或音效
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|
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---
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|
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## 文件与职责说明
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本 Skill 由以下文件组成：
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- `generate.ts`
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统一入口（支持文件模式和搜索模式）
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- **文件模式**：读取用户上传的文本文件 → 生成播客
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- **搜索模式**：调用 web-search skill 获取资料 → 生成播客
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- 使用 z-ai-web-dev-sdk 进行 LLM 脚本生成
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- 使用 z-ai-web-dev-sdk 进行 TTS 音频生成
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- 自动拼接音频片段
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- 只输出最终文件
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- `readme.md`
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使用说明文档
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|
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- `SKILL.md`
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当前文件，描述 Skill 能力、边界与使用约定
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|
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- `package.json`
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Node.js 项目配置与依赖
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- `tsconfig.json`
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TypeScript 编译配置
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|
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---
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|
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## 输入与输出约定
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### 输入（二选一）
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**方式 1：文件上传**
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- 一篇资料文件（txt / md / docx / pdf 等文本格式）
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- 资料长度不限，Skill 会自动压缩为合适长度
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|
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**方式 2：联网搜索**
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- 用户指定一个搜索主题
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- 自动调用 web-search skill 获取相关内容
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- 整合多个搜索结果作为资料来源
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### 输出（只输出 2 个文件）
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- `podcast_script.md`
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播客脚本（Markdown 格式，可人工编辑）
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- `podcast.wav`
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最终拼接完成的播客音频
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**不输出中间文件**（如 segments.jsonl、meta.json 等）
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|
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---
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|
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## 运行方式
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|
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### 依赖环境
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- Node.js 18+
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- z-ai-web-dev-sdk（已安装）
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- web-search skill（用于联网搜索模式）
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|
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**不需要** z-ai CLI
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|
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### 安装依赖
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```bash
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npm install
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```
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|
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---
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|
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## 使用示例
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|
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### 从文件生成播客
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|
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```bash
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npm run generate -- --input=test_data/material.txt --out_dir=out
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```
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|
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### 联网搜索生成播客
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```bash
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# 根据主题搜索并生成播客
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npm run generate -- --topic="最新AI技术突破" --out_dir=out
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# 指定搜索主题和时长
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npm run generate -- --topic="量子计算应用场景" --out_dir=out --duration=8
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# 搜索并生成单人播客
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npm run generate -- --topic="气候变化影响" --out_dir=out --mode=single-male
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```
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|
||||
---
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|
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## 参数说明
|
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|
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| 参数 | 说明 | 默认值 |
|
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|------|------|--------|
|
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| `--input` | 输入资料文件路径（与 --topic 二选一） | - |
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| `--topic` | 搜索主题关键词（与 --input 二选一） | - |
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||||
| `--out_dir` | 输出目录（必需） | - |
|
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| `--mode` | 播客模式：dual / single-male / single-female | dual |
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| `--duration` | 手动指定分钟数（3-20）；0 表示自动 | 0 |
|
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| `--host_name` | 主持人/主播名称 | 小谱 |
|
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| `--guest_name` | 嘉宾名称 | 锤锤 |
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| `--voice_host` | 主持音色 | xiaochen |
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| `--voice_guest` | 嘉宾音色 | chuichui |
|
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| `--speed` | 语速（0.5-2.0） | 1.0 |
|
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| `--pause_ms` | 段间停顿毫秒数 | 200 |
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|
||||
---
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|
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## 可用音色
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|
||||
| 音色 | 特点 |
|
||||
|------|------|
|
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| xiaochen | 沉稳专业 |
|
||||
| chuichui | 活泼可爱 |
|
||||
| tongtong | 温暖亲切 |
|
||||
| jam | 英音绅士 |
|
||||
| kazi | 清晰标准 |
|
||||
| douji | 自然流畅 |
|
||||
| luodo | 富有感染力 |
|
||||
|
||||
---
|
||||
|
||||
## 技术架构
|
||||
|
||||
### generate.ts（统一入口）
|
||||
- **文件模式**：读取用户上传文件 → 生成播客
|
||||
- **搜索模式**：调用 web-search skill → 获取资料 → 生成播客
|
||||
- **LLM**：使用 `z-ai-web-dev-sdk` (`chat.completions.create`)
|
||||
- **TTS**：使用 `z-ai-web-dev-sdk` (`audio.tts.create`)
|
||||
- **不需要** z-ai CLI
|
||||
- 自动拼接音频片段
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||||
- 只输出最终文件，中间文件自动清理
|
||||
|
||||
### LLM 调用
|
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- System prompt：播客脚本编剧角色
|
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- User prompt：包含资料 + 硬性约束 + 呼吸感要求
|
||||
- 输出校验：字数、结构、角色标签
|
||||
- 自动重试：最多 3 次
|
||||
|
||||
### TTS 调用
|
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- 使用 `zai.audio.tts.create()`
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- 支持自定义音色、语速
|
||||
- 自动拼接多个 wav 片段
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||||
- 临时文件自动清理
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|
||||
---
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|
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## 输出示例
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||||
|
||||
### podcast_script.md（片段）
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```markdown
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**小谱**：大家好，欢迎收听今天的播客。今天我们来聊一个有趣的话题……
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|
||||
**锤锤**：是啊，这个话题真的很有意思。我最近也在关注……
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||||
|
||||
**小谱**：说到这里，我想给大家举个例子……
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||||
```
|
||||
|
||||
---
|
||||
|
||||
## License
|
||||
|
||||
MIT
|
||||
661
skills/podcast-generate/generate.ts
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661
skills/podcast-generate/generate.ts
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||||
#!/usr/bin/env tsx
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||||
/**
|
||||
* generate.ts - 统一入口（纯 SDK 版本）
|
||||
* 原资料 -> podcast_script.md + podcast.wav
|
||||
*
|
||||
* 只使用 z-ai-web-dev-sdk，不依赖 z-ai CLI
|
||||
*
|
||||
* Usage:
|
||||
* tsx generate.ts --input=material.txt --out_dir=out
|
||||
* tsx generate.ts --input=material.md --out_dir=out --duration=5
|
||||
*/
|
||||
|
||||
import ZAI from 'z-ai-web-dev-sdk';
|
||||
import fs from 'fs';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
import os from 'os';
|
||||
|
||||
const __filename = fileURLToPath(import.meta.url);
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||||
const __dirname = path.dirname(__filename);
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||||
|
||||
// -----------------------------
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||||
// Types
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||||
// -----------------------------
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||||
interface GenConfig {
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mode: 'dual' | 'single-male' | 'single-female';
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temperature: number;
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durationManual: number;
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charsPerMin: number;
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||||
hostName: string;
|
||||
guestName: string;
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audience: string;
|
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tone: string;
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||||
maxAttempts: number;
|
||||
timeoutSec: number;
|
||||
voiceHost: string;
|
||||
voiceGuest: string;
|
||||
speed: number;
|
||||
pauseMs: number;
|
||||
}
|
||||
|
||||
interface Segment {
|
||||
idx: number;
|
||||
speaker: 'host' | 'guest';
|
||||
name: string;
|
||||
text: string;
|
||||
}
|
||||
|
||||
// -----------------------------
|
||||
// Config
|
||||
// -----------------------------
|
||||
const DEFAULT_CONFIG: GenConfig = {
|
||||
mode: 'dual',
|
||||
temperature: 0.9,
|
||||
durationManual: 0,
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||||
charsPerMin: 240,
|
||||
hostName: '小谱',
|
||||
guestName: '锤锤',
|
||||
audience: '白领小白',
|
||||
tone: '轻松但有信息密度',
|
||||
maxAttempts: 3,
|
||||
timeoutSec: 300,
|
||||
voiceHost: 'xiaochen',
|
||||
voiceGuest: 'chuichui',
|
||||
speed: 1.0,
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||||
pauseMs: 200,
|
||||
};
|
||||
|
||||
const DURATION_RANGE_LOW = 3;
|
||||
const DURATION_RANGE_HIGH = 20;
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||||
const BUDGET_TOLERANCE = 0.15;
|
||||
|
||||
// -----------------------------
|
||||
// Functions
|
||||
// -----------------------------
|
||||
|
||||
function parseArgs(): { [key: string]: any } {
|
||||
const args = process.argv.slice(2);
|
||||
const result: { [key: string]: any } = {};
|
||||
|
||||
for (let i = 0; i < args.length; i++) {
|
||||
const arg = args[i];
|
||||
if (arg.startsWith('--')) {
|
||||
const key = arg.slice(2);
|
||||
if (key.includes('=')) {
|
||||
const [k, v] = key.split('=');
|
||||
result[k] = v;
|
||||
} else if (i + 1 < args.length && !args[i + 1].startsWith('--')) {
|
||||
result[key] = args[i + 1];
|
||||
i++;
|
||||
} else {
|
||||
result[key] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
function readText(filePath: string): string {
|
||||
let content = fs.readFileSync(filePath, 'utf-8');
|
||||
content = content.replace(/\r\n/g, '\n');
|
||||
content = content.replace(/\n{3,}/g, '\n\n');
|
||||
content = content.replace(/[ \t]{2,}/g, ' ');
|
||||
content = content.replace(/-\n/g, '');
|
||||
return content.trim();
|
||||
}
|
||||
|
||||
function countNonWsChars(text: string): number {
|
||||
return text.replace(/\s+/g, '').length;
|
||||
}
|
||||
|
||||
function chooseDurationMinutes(inputChars: number, low: number = DURATION_RANGE_LOW, high: number = DURATION_RANGE_HIGH): number {
|
||||
const estimated = Math.max(low, Math.min(high, Math.floor(inputChars / 1000)));
|
||||
return estimated;
|
||||
}
|
||||
|
||||
function charBudget(durationMin: number, charsPerMin: number, tolerance: number): [number, number, number] {
|
||||
const target = durationMin * charsPerMin;
|
||||
const low = Math.floor(target * (1 - tolerance));
|
||||
const high = Math.ceil(target * (1 + tolerance));
|
||||
return [target, low, high];
|
||||
}
|
||||
|
||||
function buildPrompts(
|
||||
material: string,
|
||||
cfg: GenConfig,
|
||||
durationMin: number,
|
||||
budgetTarget: number,
|
||||
budgetLow: number,
|
||||
budgetHigh: number,
|
||||
attemptHint: string = ''
|
||||
): [string, string] {
|
||||
let system: string;
|
||||
let user: string;
|
||||
|
||||
if (cfg.mode === 'dual') {
|
||||
system = (
|
||||
`你是一个播客脚本编剧，擅长把资料提炼成双人对谈播客。` +
|
||||
`角色固定为男主持「${cfg.hostName}」与女嘉宾「${cfg.guestName}」。` +
|
||||
`你写作口播化、信息密度适中、有呼吸感、节奏自然。` +
|
||||
`你必须严格遵守输出格式与字数预算。`
|
||||
);
|
||||
|
||||
const hintBlock = attemptHint ? `\n【上一次生成纠偏提示】\n${attemptHint}\n` : '';
|
||||
|
||||
user = `请把下面【资料】改写为中文播客脚本，形式为双人对谈（男主持 ${cfg.hostName} + 女嘉宾 ${cfg.guestName}）。
|
||||
时长目标：${durationMin} 分钟。
|
||||
|
||||
【硬性约束】
|
||||
1) 总字数必须在 ${budgetLow} 到 ${budgetHigh} 字之间（目标约 ${budgetTarget} 字）。
|
||||
2) 严格使用轮次交替输出：每段必须以"**${cfg.hostName}**："或"**${cfg.guestName}**："开头。
|
||||
3) 必须包含完整的叙事结构（但不要在对话中写出结构标签）：
|
||||
- 开场：Hook 引入 + 本期主题介绍
|
||||
- 主体：3个不同维度的内容，用自然过渡语连接
|
||||
- 总结：回顾要点 + 行动建议（1句话，明确可执行）
|
||||
4) 不要在对话中写"核心点1"、"第一点"等结构标签，用自然的过渡语如"说到这个"、"还有个有趣的事"、"另外"等
|
||||
5) 不要照念原文，不要大段引用；要用口播化表达。
|
||||
6) 受众：${cfg.audience}
|
||||
7) 风格：${cfg.tone}
|
||||
|
||||
【呼吸感与自然对话 - 重要！】
|
||||
为了营造真实播客的呼吸感，请：
|
||||
1) 适度加入语气词和感叹词：嗯、哦、啊、对、没错、哈哈、哇、天呐、啧啧等
|
||||
2) 多用互动式表达："你说得对"、"这就很有意思了"、"等等，让我想想"、"我懂你的意思"
|
||||
3) 适当加入思考和停顿的暗示："这个问题嘛..."、"怎么说呢..."、"其实..."
|
||||
4) 避免过于密集的信息输出，每段控制在3-5句话，给听众消化时间
|
||||
5) 用类比和生活化的例子来解释复杂概念
|
||||
6) 两人之间要有自然的呼应和追问，而不是各说各话
|
||||
7) 不同主题之间用自然过渡语连接，不要出现"核心点1/2/3"等标签
|
||||
|
||||
【输出格式示例】
|
||||
**${cfg.hostName}**：开场……
|
||||
**${cfg.guestName}**：回应……
|
||||
（一直交替到结束）
|
||||
|
||||
${hintBlock}
|
||||
【资料】
|
||||
${material}
|
||||
`;
|
||||
} else {
|
||||
const speakerName = cfg.mode === 'single-male' ? cfg.hostName : cfg.guestName;
|
||||
const gender = cfg.mode === 'single-male' ? '男性' : '女性';
|
||||
|
||||
system = (
|
||||
`你是一个${gender}单人播客主播，名字叫「${speakerName}」。` +
|
||||
`你擅长把资料提炼成单人独白式播客，像讲课、读书分享、知识科普一样。` +
|
||||
`你写作口播化、信息密度适中、有呼吸感、节奏自然。` +
|
||||
`你必须严格遵守输出格式与字数预算。`
|
||||
);
|
||||
|
||||
const hintBlock = attemptHint ? `\n【上一次生成纠偏提示】\n${attemptHint}\n` : '';
|
||||
|
||||
user = `请把下面【资料】改写为中文单人播客脚本，形式为独白式讲述（主播：${speakerName}）。
|
||||
时长目标：${durationMin} 分钟。
|
||||
|
||||
【硬性约束】
|
||||
1) 总字数必须在 ${budgetLow} 到 ${budgetHigh} 字之间（目标约 ${budgetTarget} 字）。
|
||||
2) 所有内容均由「${speakerName}」一人讲述，每段都以"**${speakerName}**："开头。
|
||||
3) 必须包含完整的叙事结构（但不要在对话中写出结构标签）：
|
||||
- 开场：Hook 引入 + 本期主题介绍
|
||||
- 主体：3个不同维度的内容，用自然过渡语连接
|
||||
- 总结：回顾要点 + 行动建议（1句话，明确可执行）
|
||||
4) 不要在对话中写"核心点1"、"第一点"等结构标签，用自然的过渡语如"说到这个"、"还有个有趣的事"、"另外"等
|
||||
5) 不要照念原文，不要大段引用；要用口播化表达。
|
||||
6) 受众：${cfg.audience}
|
||||
7) 风格：${cfg.tone}
|
||||
|
||||
【单人播客的呼吸感 - 重要！】
|
||||
为了营造自然的单人播客呼吸感，请：
|
||||
1) 适度加入语气词和感叹词：嗯、哦、啊、对、没错、哈哈、哇、天呐、啧啧等
|
||||
2) 多用自问自答式表达："你可能会问...答案是..."、"这是为什么呢？让我来解释..."
|
||||
3) 适当加入思考和停顿的暗示："这个问题嘛..."、"怎么说呢..."、"其实..."
|
||||
4) 避免过于密集的信息输出，每段控制在3-5句话，给听众消化时间
|
||||
5) 用类比和生活化的例子来解释复杂概念
|
||||
6) 像在和朋友聊天一样，而不是在念课文
|
||||
|
||||
【输出格式示例】
|
||||
**${speakerName}**：开场，大家好，我是${speakerName}，今天我们来聊……
|
||||
**${speakerName}**：说到这个，最近有个特别有意思的事……
|
||||
（所有内容都由${speakerName}讲述，分段输出）
|
||||
|
||||
${hintBlock}
|
||||
【资料】
|
||||
${material}
|
||||
`;
|
||||
}
|
||||
|
||||
return [system, user];
|
||||
}
|
||||
|
||||
async function callZAI(
|
||||
systemPrompt: string,
|
||||
userPrompt: string,
|
||||
temperature: number
|
||||
): Promise<string> {
|
||||
const zai = await ZAI.create();
|
||||
|
||||
const completion = await zai.chat.completions.create({
|
||||
messages: [
|
||||
{ role: 'assistant', content: systemPrompt },
|
||||
{ role: 'user', content: userPrompt },
|
||||
],
|
||||
thinking: { type: 'disabled' },
|
||||
});
|
||||
|
||||
const content = completion.choices[0]?.message?.content || '';
|
||||
return content;
|
||||
}
|
||||
|
||||
function scriptToSegments(script: string, hostName: string, guestName: string): Segment[] {
|
||||
const segments: Segment[] = [];
|
||||
const lines = script.split('\n');
|
||||
|
||||
let current: Segment | null = null;
|
||||
let idx = 0;
|
||||
|
||||
const hostPrefix = `**${hostName}**：`;
|
||||
const guestPrefix = `**${guestName}**：`;
|
||||
|
||||
for (const rawLine of lines) {
|
||||
const line = rawLine.trim();
|
||||
if (!line) continue;
|
||||
|
||||
if (line.startsWith(hostPrefix)) {
|
||||
idx++;
|
||||
current = {
|
||||
idx,
|
||||
speaker: 'host',
|
||||
name: hostName,
|
||||
text: line.slice(hostPrefix.length).trim(),
|
||||
};
|
||||
segments.push(current);
|
||||
} else if (line.startsWith(guestPrefix)) {
|
||||
idx++;
|
||||
current = {
|
||||
idx,
|
||||
speaker: 'guest',
|
||||
name: guestName,
|
||||
text: line.slice(guestPrefix.length).trim(),
|
||||
};
|
||||
segments.push(current);
|
||||
} else {
|
||||
if (current) {
|
||||
current.text = (current.text + ' ' + line).trim();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return segments;
|
||||
}
|
||||
|
||||
function validateScript(
|
||||
script: string,
|
||||
cfg: GenConfig,
|
||||
budgetLow: number,
|
||||
budgetHigh: number
|
||||
): [boolean, string[]] {
|
||||
const reasons: string[] = [];
|
||||
|
||||
if (cfg.mode === 'dual') {
|
||||
const hostTag = `**${cfg.hostName}**：`;
|
||||
const guestTag = `**${cfg.guestName}**：`;
|
||||
|
||||
if (!script.includes(hostTag)) reasons.push(`缺少主持人标识：${hostTag}`);
|
||||
if (!script.includes(guestTag)) reasons.push(`缺少嘉宾标识：${guestTag}`);
|
||||
|
||||
const turns = script.split('\n').filter(line =>
|
||||
line.startsWith(hostTag) || line.startsWith(guestTag)
|
||||
);
|
||||
if (turns.length < 8) reasons.push('对谈轮次过少：建议至少 8 轮');
|
||||
} else {
|
||||
const speakerName = cfg.mode === 'single-male' ? cfg.hostName : cfg.guestName;
|
||||
const speakerTag = `**${speakerName}**：`;
|
||||
|
||||
if (!script.includes(speakerTag)) reasons.push(`缺少主播标识：${speakerTag}`);
|
||||
|
||||
const turns = script.split('\n').filter(line => line.startsWith(speakerTag));
|
||||
if (turns.length < 5) reasons.push('播客段数过少：建议至少 5 段');
|
||||
}
|
||||
|
||||
const n = countNonWsChars(script);
|
||||
if (n < budgetLow || n > budgetHigh) {
|
||||
reasons.push(`字数不在预算：当前约 ${n} 字，预算 ${budgetLow}-${budgetHigh}`);
|
||||
}
|
||||
|
||||
// 只检查开场和总结，不检查"核心点1/2/3"标签（因为不应该出现在对话中）
|
||||
const mustHave = ['开场', '总结'];
|
||||
for (const kw of mustHave) {
|
||||
if (!script.includes(kw)) {
|
||||
reasons.push(`缺少结构要素：${kw}（请在对话中自然引入）`);
|
||||
}
|
||||
}
|
||||
|
||||
// 检查是否有足够的对话轮次（确保内容覆盖了多个主题）
|
||||
const lineCount = script.split('\n').filter(l => l.trim()).length;
|
||||
if (lineCount < 10) {
|
||||
reasons.push('对话轮次过少，建议至少10段对话');
|
||||
}
|
||||
|
||||
return [reasons.length === 0, reasons];
|
||||
}
|
||||
|
||||
function makeRetryHint(reasons: string[], cfg: GenConfig, budgetLow: number, budgetHigh: number): string {
|
||||
const lines = ['请严格修复以下问题后重新生成：'];
|
||||
for (const r of reasons) lines.push(`- ${r}`);
|
||||
lines.push(`- 总字数必须在 ${budgetLow}-${budgetHigh} 之间。`);
|
||||
|
||||
if (cfg.mode === 'dual') {
|
||||
lines.push(`- 每段必须以"**${cfg.hostName}**："或"**${cfg.guestName}**："开头。`);
|
||||
} else {
|
||||
const speakerName = cfg.mode === 'single-male' ? cfg.hostName : cfg.guestName;
|
||||
lines.push(`- 所有内容都由一人讲述，每段必须以"**${speakerName}**："开头。`);
|
||||
}
|
||||
|
||||
lines.push('- 必须包含开场和总结，中间用自然过渡语连接不同主题，不要出现"核心点1/2/3"等标签。');
|
||||
return lines.join('\n');
|
||||
}
|
||||
|
||||
async function ttsRequest(
|
||||
zai: any,
|
||||
text: string,
|
||||
voice: string,
|
||||
speed: number
|
||||
): Promise<Buffer> {
|
||||
const response = await zai.audio.tts.create({
|
||||
input: text,
|
||||
voice: voice,
|
||||
speed: speed,
|
||||
response_format: 'wav',
|
||||
stream: false,
|
||||
});
|
||||
|
||||
const arrayBuffer = await response.arrayBuffer();
|
||||
const buffer = Buffer.from(new Uint8Array(arrayBuffer));
|
||||
return buffer;
|
||||
}
|
||||
|
||||
function ensureSilenceWav(filePath: string, params: { nchannels: number; sampwidth: number; framerate: number }, ms: number): void {
|
||||
const { nchannels, sampwidth, framerate } = params;
|
||||
const nframes = Math.floor((framerate * ms) / 1000);
|
||||
const silenceFrame = Buffer.alloc(sampwidth * nchannels, 0);
|
||||
const frames = Buffer.alloc(silenceFrame.length * nframes, 0);
|
||||
|
||||
const header = Buffer.alloc(44);
|
||||
header.write('RIFF', 0);
|
||||
header.writeUInt32LE(36 + frames.length, 4);
|
||||
header.write('WAVE', 8);
|
||||
header.write('fmt ', 12);
|
||||
header.writeUInt32LE(16, 16);
|
||||
header.writeUInt16LE(1, 20);
|
||||
header.writeUInt16LE(nchannels, 22);
|
||||
header.writeUInt32LE(framerate, 24);
|
||||
header.writeUInt32LE(framerate * nchannels * sampwidth, 28);
|
||||
header.writeUInt16LE(nchannels * sampwidth, 32);
|
||||
header.writeUInt16LE(sampwidth * 8, 34);
|
||||
header.write('data', 36);
|
||||
header.writeUInt32LE(frames.length, 40);
|
||||
|
||||
fs.writeFileSync(filePath, Buffer.concat([header, frames]));
|
||||
}
|
||||
|
||||
function wavParams(filePath: string): { nchannels: number; sampwidth: number; framerate: number } {
|
||||
const buffer = fs.readFileSync(filePath);
|
||||
const nchannels = buffer.readUInt16LE(22);
|
||||
const sampwidth = buffer.readUInt16LE(34) / 8;
|
||||
const framerate = buffer.readUInt32LE(24);
|
||||
return { nchannels, sampwidth, framerate };
|
||||
}
|
||||
|
||||
function joinWavsWave(outPath: string, wavPaths: string[], pauseMs: number): void {
|
||||
if (wavPaths.length === 0) throw new Error('No wav files to join.');
|
||||
|
||||
const ref = wavPaths[0];
|
||||
const refParams = wavParams(ref);
|
||||
const silencePath = path.join(os.tmpdir(), `_silence_${Date.now()}.wav`);
|
||||
if (pauseMs > 0) ensureSilenceWav(silencePath, refParams, pauseMs);
|
||||
|
||||
const chunks: Buffer[] = [];
|
||||
|
||||
for (let i = 0; i < wavPaths.length; i++) {
|
||||
const wavPath = wavPaths[i];
|
||||
const buffer = fs.readFileSync(wavPath);
|
||||
const dataStart = buffer.indexOf('data') + 8;
|
||||
const data = buffer.subarray(dataStart);
|
||||
|
||||
const params = wavParams(wavPath);
|
||||
if (params.nchannels !== refParams.nchannels ||
|
||||
params.sampwidth !== refParams.sampwidth ||
|
||||
params.framerate !== refParams.framerate) {
|
||||
throw new Error(`WAV params mismatch: ${wavPath}`);
|
||||
}
|
||||
|
||||
chunks.push(data);
|
||||
|
||||
if (pauseMs > 0 && i < wavPaths.length - 1) {
|
||||
const silenceBuffer = fs.readFileSync(silencePath);
|
||||
const silenceData = silenceBuffer.subarray(silenceBuffer.indexOf('data') + 8);
|
||||
chunks.push(silenceData);
|
||||
}
|
||||
}
|
||||
|
||||
const totalDataSize = chunks.reduce((sum, buf) => sum + buf.length, 0);
|
||||
const header = Buffer.alloc(44);
|
||||
header.write('RIFF', 0);
|
||||
header.writeUInt32LE(36 + totalDataSize, 4);
|
||||
header.write('WAVE', 8);
|
||||
header.write('fmt ', 12);
|
||||
header.writeUInt32LE(16, 16);
|
||||
header.writeUInt16LE(1, 20);
|
||||
header.writeUInt16LE(refParams.nchannels, 22);
|
||||
header.writeUInt32LE(refParams.framerate, 24);
|
||||
header.writeUInt32LE(refParams.framerate * refParams.nchannels * refParams.sampwidth, 28);
|
||||
header.writeUInt16LE(refParams.nchannels * refParams.sampwidth, 32);
|
||||
header.writeUInt16LE(refParams.sampwidth * 8, 34);
|
||||
header.write('data', 36);
|
||||
header.writeUInt32LE(totalDataSize, 40);
|
||||
|
||||
const output = Buffer.concat([header, ...chunks]);
|
||||
fs.writeFileSync(outPath, output);
|
||||
|
||||
if (fs.existsSync(silencePath)) fs.unlinkSync(silencePath);
|
||||
}
|
||||
|
||||
// -----------------------------
|
||||
// Main
|
||||
// -----------------------------
|
||||
async function main() {
|
||||
const args = parseArgs();
|
||||
|
||||
const inputPath = args.input;
|
||||
const outDir = args.out_dir;
|
||||
const topic = args.topic;
|
||||
|
||||
// 检查参数：必须提供 input 或 topic 之一
|
||||
if ((!inputPath && !topic) || !outDir) {
|
||||
console.error('Usage: tsx generate.ts --input=<file> --out_dir=<dir>');
|
||||
console.error(' OR: tsx generate.ts --topic=<search-term> --out_dir=<dir>');
|
||||
console.error('');
|
||||
console.error('Examples:');
|
||||
console.error(' # From file');
|
||||
console.error(' npm run generate -- --input=article.txt --out_dir=out');
|
||||
console.error(' # From web search');
|
||||
console.error(' npm run generate -- --topic="最新AI新闻" --out_dir=out');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// Merge config
|
||||
const cfg: GenConfig = {
|
||||
...DEFAULT_CONFIG,
|
||||
mode: (args.mode || 'dual') as GenConfig['mode'],
|
||||
durationManual: parseInt(args.duration || '0'),
|
||||
hostName: args.host_name || DEFAULT_CONFIG.hostName,
|
||||
guestName: args.guest_name || DEFAULT_CONFIG.guestName,
|
||||
voiceHost: args.voice_host || DEFAULT_CONFIG.voiceHost,
|
||||
voiceGuest: args.voice_guest || DEFAULT_CONFIG.voiceGuest,
|
||||
speed: parseFloat(args.speed || String(DEFAULT_CONFIG.speed)),
|
||||
pauseMs: parseInt(args.pause_ms || String(DEFAULT_CONFIG.pauseMs)),
|
||||
};
|
||||
|
||||
// Create output directory
|
||||
if (!fs.existsSync(outDir)) {
|
||||
fs.mkdirSync(outDir, { recursive: true });
|
||||
}
|
||||
|
||||
// 根据模式获取资料
|
||||
let material: string;
|
||||
let inputSource: string;
|
||||
|
||||
if (inputPath) {
|
||||
// 模式1：从文件读取
|
||||
console.log(`[MODE] Reading from file: ${inputPath}`);
|
||||
material = readText(inputPath);
|
||||
inputSource = `file:${inputPath}`;
|
||||
} else if (topic) {
|
||||
// 模式2：联网搜索
|
||||
console.log(`[MODE] Searching web for topic: ${topic}`);
|
||||
const zai = await ZAI.create();
|
||||
|
||||
const searchResults = await zai.functions.invoke('web_search', {
|
||||
query: topic,
|
||||
num: 10
|
||||
});
|
||||
|
||||
if (!Array.isArray(searchResults) || searchResults.length === 0) {
|
||||
console.error(`未找到关于"${topic}"的搜索结果`);
|
||||
process.exit(2);
|
||||
}
|
||||
|
||||
console.log(`[SEARCH] Found ${searchResults.length} results`);
|
||||
|
||||
// 将搜索结果转换为文本资料
|
||||
material = searchResults
|
||||
.map((r: any, i: number) => `【来源 ${i + 1}】${r.name}\n${r.snippet}\n链接：${r.url}`)
|
||||
.join('\n\n');
|
||||
|
||||
inputSource = `web_search:${topic}`;
|
||||
console.log(`[SEARCH] Compiled material (${material.length} chars)`);
|
||||
} else {
|
||||
console.error('[ERROR] Neither --input nor --topic provided');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const inputChars = material.length;
|
||||
|
||||
// Calculate duration
|
||||
let durationMin: number;
|
||||
if (cfg.durationManual >= 3 && cfg.durationManual <= 20) {
|
||||
durationMin = cfg.durationManual;
|
||||
} else {
|
||||
durationMin = chooseDurationMinutes(inputChars, DURATION_RANGE_LOW, DURATION_RANGE_HIGH);
|
||||
}
|
||||
|
||||
const [target, low, high] = charBudget(durationMin, cfg.charsPerMin, BUDGET_TOLERANCE);
|
||||
|
||||
console.log(`[INFO] input_chars=${inputChars} duration=${durationMin}min budget=${low}-${high}`);
|
||||
|
||||
let attemptHint = '';
|
||||
let lastScript: string | null = null;
|
||||
|
||||
// Initialize ZAI SDK (reuse for TTS)
|
||||
const zai = await ZAI.create();
|
||||
|
||||
// Generate script
|
||||
for (let attempt = 1; attempt <= cfg.maxAttempts; attempt++) {
|
||||
const [systemPrompt, userPrompt] = buildPrompts(
|
||||
material,
|
||||
cfg,
|
||||
durationMin,
|
||||
target,
|
||||
low,
|
||||
high,
|
||||
attemptHint
|
||||
);
|
||||
|
||||
try {
|
||||
console.log(`[LLM] Attempt ${attempt}/${cfg.maxAttempts}...`);
|
||||
const content = await callZAI(systemPrompt, userPrompt, cfg.temperature);
|
||||
lastScript = content;
|
||||
|
||||
const [ok, reasons] = validateScript(content, cfg, low, high);
|
||||
|
||||
if (ok) {
|
||||
break;
|
||||
}
|
||||
|
||||
attemptHint = makeRetryHint(reasons, cfg, low, high);
|
||||
console.error(`[WARN] Validation failed:`, reasons.join(', '));
|
||||
} catch (error: any) {
|
||||
console.error(`[ERROR] LLM call failed: ${error.message}`);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
if (!lastScript) {
|
||||
console.error('[ERROR] 未生成任何脚本输出。');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// Write script
|
||||
const scriptPath = path.join(outDir, 'podcast_script.md');
|
||||
fs.writeFileSync(scriptPath, lastScript, 'utf-8');
|
||||
console.log(`[DONE] podcast_script.md -> ${scriptPath}`);
|
||||
|
||||
// Parse segments
|
||||
const segments = scriptToSegments(lastScript, cfg.hostName, cfg.guestName);
|
||||
console.log(`[INFO] Parsed ${segments.length} segments`);
|
||||
|
||||
// Generate TTS using SDK
|
||||
const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'podcast_segments_'));
|
||||
const produced: string[] = [];
|
||||
|
||||
try {
|
||||
for (let i = 0; i < segments.length; i++) {
|
||||
const seg = segments[i];
|
||||
const text = seg.text.trim();
|
||||
if (!text) continue;
|
||||
|
||||
let voice: string;
|
||||
if (cfg.mode === 'dual') {
|
||||
voice = seg.speaker === 'host' ? cfg.voiceHost : cfg.voiceGuest;
|
||||
} else if (cfg.mode === 'single-male') {
|
||||
voice = cfg.voiceHost;
|
||||
} else {
|
||||
voice = cfg.voiceGuest;
|
||||
}
|
||||
|
||||
const wavPath = path.join(tmpDir, `seg_${seg.idx.toString().padStart(4, '0')}.wav`);
|
||||
|
||||
console.log(`[TTS] [${i + 1}/${segments.length}] idx=${seg.idx} speaker=${seg.speaker} voice=${voice}`);
|
||||
|
||||
const buffer = await ttsRequest(zai, text, voice, cfg.speed);
|
||||
fs.writeFileSync(wavPath, buffer);
|
||||
produced.push(wavPath);
|
||||
}
|
||||
|
||||
// Join segments
|
||||
const podcastPath = path.join(outDir, 'podcast.wav');
|
||||
console.log(`[JOIN] Joining ${produced.length} wav files -> ${podcastPath}`);
|
||||
|
||||
joinWavsWave(podcastPath, produced, cfg.pauseMs);
|
||||
console.log(`[DONE] podcast.wav -> ${podcastPath}`);
|
||||
|
||||
} finally {
|
||||
// Cleanup temp directory
|
||||
try {
|
||||
fs.rmSync(tmpDir, { recursive: true, force: true });
|
||||
} catch (error: any) {
|
||||
console.error(`[WARN] Failed to cleanup temp dir: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
console.log('\n[FINAL OUTPUT]');
|
||||
console.log(` 📄 podcast_script.md -> ${scriptPath}`);
|
||||
console.log(` 🎙️ podcast.wav -> ${path.join(outDir, 'podcast.wav')}`);
|
||||
}
|
||||
|
||||
main().catch(error => {
|
||||
console.error('[FATAL ERROR]', error);
|
||||
process.exit(1);
|
||||
});
|
||||
30
skills/podcast-generate/package.json
Executable file
30
skills/podcast-generate/package.json
Executable file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"name": "podcast-generate-online",
|
||||
"version": "1.0.0",
|
||||
"description": "Generate podcast audio from text using z-ai LLM and TTS",
|
||||
"type": "module",
|
||||
"main": "dist/index.js",
|
||||
"scripts": {
|
||||
"generate": "tsx generate.ts",
|
||||
"build": "tsc",
|
||||
"prepublishOnly": "npm run build"
|
||||
},
|
||||
"keywords": [
|
||||
"podcast",
|
||||
"tts",
|
||||
"llm",
|
||||
"z-ai"
|
||||
],
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"z-ai-web-dev-sdk": "*"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20",
|
||||
"tsx": "^4.7.0",
|
||||
"typescript": "^5.3.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.0.0"
|
||||
}
|
||||
}
|
||||
177
skills/podcast-generate/readme.md
Executable file
177
skills/podcast-generate/readme.md
Executable file
@@ -0,0 +1,177 @@
|
||||
# Podcast Generate Skill（TypeScript 线上版本）
|
||||
|
||||
将一篇资料自动转化为对谈播客，时长根据内容长度自动调整（3-20 分钟，约240字/分钟）：
|
||||
- 自动提炼核心内容
|
||||
- 生成可编辑的播客脚本
|
||||
- 使用 z-ai TTS 合成音频
|
||||
|
||||
这是一个使用 **z-ai-web-dev-sdk** 的 TypeScript 版本，适用于线上环境。
|
||||
|
||||
---
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 一键生成（脚本 + 音频）
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=test_data/material.txt --out_dir=out
|
||||
```
|
||||
|
||||
**最终输出：**
|
||||
- `out/podcast_script.md` - 播客脚本（Markdown 格式）
|
||||
- `out/podcast.wav` - 最终播客音频
|
||||
|
||||
---
|
||||
|
||||
## 目录结构
|
||||
|
||||
```text
|
||||
podcast-generate/
|
||||
├── readme.md # 使用说明（本文件）
|
||||
├── SKILL.md # Skill 能力与接口约定
|
||||
├── package.json # Node.js 依赖配置
|
||||
├── tsconfig.json # TypeScript 编译配置
|
||||
├── generate.ts # ⭐ 统一入口（唯一需要的文件）
|
||||
└── test_data/
|
||||
└── material.txt # 示例输入资料
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 环境要求
|
||||
|
||||
- **Node.js 18+**
|
||||
- **z-ai-web-dev-sdk**（已安装在环境中）
|
||||
|
||||
**不需要** z-ai CLI，本代码完全使用 SDK。
|
||||
|
||||
---
|
||||
|
||||
## 安装
|
||||
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 使用方式
|
||||
|
||||
### 方式 1：从文件生成
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out
|
||||
```
|
||||
|
||||
### 方式 2：联网搜索生成
|
||||
|
||||
```bash
|
||||
npm run generate -- --topic="最新AI新闻" --out_dir=out
|
||||
npm run generate -- --topic="量子计算应用" --out_dir=out --duration=8
|
||||
```
|
||||
|
||||
### 参数说明
|
||||
|
||||
| 参数 | 说明 | 默认值 |
|
||||
|------|------|--------|
|
||||
| `--input` | 输入资料文件路径，支持 txt/md/docx/pdf 等文本格式（与 --topic 二选一） | - |
|
||||
| `--topic` | 搜索主题关键词（与 --input 二选一） | - |
|
||||
| `--out_dir` | 输出目录（必需） | - |
|
||||
| `--mode` | 播客模式：dual / single-male / single-female | dual |
|
||||
| `--duration` | 手动指定分钟数（3-20）；0 表示自动 | 0 |
|
||||
| `--host_name` | 主持人/主播名称 | 小谱 |
|
||||
| `--guest_name` | 嘉宾名称 | 锤锤 |
|
||||
| `--voice_host` | 主持音色 | xiaochen |
|
||||
| `--voice_guest` | 嘉宾音色 | chuichui |
|
||||
| `--speed` | 语速（0.5-2.0） | 1.0 |
|
||||
| `--pause_ms` | 段间停顿毫秒数 | 200 |
|
||||
|
||||
---
|
||||
|
||||
## 使用示例
|
||||
|
||||
### 双人对谈播客（默认）
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out
|
||||
```
|
||||
|
||||
### 单人男声播客
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out --mode=single-male
|
||||
```
|
||||
|
||||
### 指定 5 分钟时长
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out --duration=5
|
||||
```
|
||||
|
||||
### 自定义角色名称
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out --host_name=张三 --guest_name=李四
|
||||
```
|
||||
|
||||
### 使用不同音色
|
||||
|
||||
```bash
|
||||
npm run generate -- --input=material.txt --out_dir=out --voice_host=tongtong --voice_guest=douji
|
||||
```
|
||||
|
||||
### 联网搜索生成播客
|
||||
|
||||
```bash
|
||||
# 根据主题搜索并生成播客
|
||||
npm run generate -- --topic="最新AI技术突破" --out_dir=out
|
||||
|
||||
# 指定搜索主题和时长
|
||||
npm run generate -- --topic="量子计算应用场景" --out_dir=out --duration=8
|
||||
|
||||
# 搜索并生成单人播客
|
||||
npm run generate -- --topic="气候变化影响" --out_dir=out --mode=single-male
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 可用音色
|
||||
|
||||
| 音色 | 特点 |
|
||||
|------|------|
|
||||
| xiaochen | 沉稳专业 |
|
||||
| chuichui | 活泼可爱 |
|
||||
| tongtong | 温暖亲切 |
|
||||
| jam | 英音绅士 |
|
||||
| kazi | 清晰标准 |
|
||||
| douji | 自然流畅 |
|
||||
| luodo | 富有感染力 |
|
||||
|
||||
---
|
||||
|
||||
## 技术架构
|
||||
|
||||
### generate.ts（统一入口）
|
||||
- **LLM**：使用 `z-ai-web-dev-sdk` (`chat.completions.create`)
|
||||
- **TTS**：使用 `z-ai-web-dev-sdk` (`audio.tts.create`)
|
||||
- **不需要** z-ai CLI
|
||||
- 自动拼接音频片段
|
||||
- 只输出最终文件，中间文件自动清理
|
||||
|
||||
### LLM 调用
|
||||
- System prompt：播客脚本编剧角色
|
||||
- User prompt：包含资料 + 硬性约束 + 呼吸感要求
|
||||
- 输出校验：字数、结构、角色标签
|
||||
- 自动重试：最多 3 次
|
||||
|
||||
### TTS 调用
|
||||
- 使用 `zai.audio.tts.create()`
|
||||
- 支持自定义音色、语速
|
||||
- 自动拼接多个 wav 片段
|
||||
- 临时文件自动清理
|
||||
|
||||
---
|
||||
|
||||
## License
|
||||
|
||||
MIT
|
||||
3
skills/podcast-generate/test_data/segments.jsonl
Executable file
3
skills/podcast-generate/test_data/segments.jsonl
Executable file
@@ -0,0 +1,3 @@
|
||||
{"idx": 1, "speaker": "host", "name": "主持人", "text": "大家好，欢迎来到今天的播客节目。"}
|
||||
{"idx": 2, "speaker": "guest", "name": "嘉宾", "text": "很高兴能参加这次节目。"}
|
||||
{"idx": 3, "speaker": "host", "name": "主持人", "text": "今天我们要讨论一个非常有意思的话题。"}
|
||||
26
skills/podcast-generate/tsconfig.json
Executable file
26
skills/podcast-generate/tsconfig.json
Executable file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2022",
|
||||
"module": "ES2022",
|
||||
"lib": ["ES2022"],
|
||||
"moduleResolution": "node",
|
||||
"outDir": "./dist",
|
||||
"rootDir": "./",
|
||||
"strict": true,
|
||||
"esModuleInterop": true,
|
||||
"skipLibCheck": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"resolveJsonModule": true,
|
||||
"allowSyntheticDefaultImports": true,
|
||||
"declaration": true,
|
||||
"declarationMap": true,
|
||||
"sourceMap": true
|
||||
},
|
||||
"include": [
|
||||
"*.ts"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"dist"
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user