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# Rivulet
Lightweight building blocks for asynchronous data streams. Provides:
- [x] **Pipeline**: An asynchronous processing chain that connects a data source to a series of transformation steps.
- [x] **Batch**: Accumulates individual stream items into batches of size `N` or when a timeout is reached.
- [ ] **RateLimit**: Controls the flow rate of items through the pipeline by enforcing maximum items per time period constraints.
- [ ] **Parallel**: Executes arbitary steps concurrently across multiple items.
- [ ] **Join**: Combines multiple data streams into a single unified output stream.
- [ ] **Cache**: Stores previously processed results to shortcircuit pipeline steps.
## Installation
Package is not currently published, use directly from source:
```bash
$ uv add git+https://github.com/yuvadm/rivulet.git
```
## Usage
```python
from rivulet import Pipeline, Batch
async def main():
pipe = Pipeline(source())
pipe.add_step(double)
batch = Batch(N=5, timeout=0.1)
pipe.add_step(batch)
pipe.add_step(sum)
# run the pipeline
async for out in pipe:
print(out)
# or just single line it and collect them all
res = await Pipeline(source(), double, batch, sum).collect()
```
## License
[MIT](LICENSE)
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