docs: 补全README — 引擎架构/状态/关联仓库
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README.md
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# pipeline-service
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# Pipeline-Service — 产线任务引擎(早期版本)
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KTV/MV 视频制作流水线的后端引擎,负责编排和执行多步骤产线任务。
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## 功能
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- **任务存储**:JSON 文件存储产线任务状态
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- **步骤编排**:支持串行/并行步骤执行
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- **状态管理**:pending → running → completed/failed
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- **版本追踪**:每个步骤的输入/输出可追溯
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## 架构
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```python
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pipeline_service/
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├── engine.py # 产线执行引擎(步骤调度)
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├── models.py # 数据模型(Task, Step, Node)
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├── storage.py # JSON 文件存储层
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└── __init__.py
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```
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## 使用方式
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```python
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from pipeline_service.engine import PipelineEngine
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engine = PipelineEngine(storage_dir="./tasks")
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task_id = engine.submit({
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"name": "KTV视频制作",
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"steps": [
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{"type": "ai_video", "config": {...}},
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{"type": "demucs", "config": {...}},
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{"type": "asr", "config": {...}},
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{"type": "ffmpeg_compose", "config": {...}}
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]
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})
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engine.run(task_id)
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```
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## 当前状态
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本模块为早期原型,核心引擎已编写但:
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- 未与 Sage 平台联调
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- 未部署到生产环境
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- 后续由 pipeline-app 替代为独立服务架构
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## 相关仓库
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| 仓库 | 说明 |
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|------|------|
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| [pipeline-app](https://git.opencomputing.cn/yumoqing/pipeline-app) | 替代方案:独立 ahserver 后端服务 |
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| [pipeline](https://git.opencomputing.cn/yumoqing/pipeline) | Sage 前端桥接模块 |
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| [showcase](https://git.opencomputing.cn/yumoqing/showcase) | 展示平台(产线产出物展示) |
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