Pipeline API Reference¶
The pipeline module lives at groggy.pipeline and exposes two primary entry points:
apply(subgraph, algorithm_or_pipeline)¶
Convenience helper that accepts a Subgraph, plus one of the following:
- An
AlgorithmHandle(runs the algorithm once) - A list/tuple of handles (runs them sequentially)
- A
Pipelineobject (reuses an existing compiled pipeline)
Returns a new Subgraph with all algorithm results applied. Internally this wraps the same Rust
executor used by Subgraph.apply().
Pipeline¶
from groggy import pipeline, algorithms
pipe = pipeline([
algorithms.centrality.pagerank(output_attr="pr"),
algorithms.pathfinding.bfs(start_attr="is_start", output_attr="dist"),
])
result = pipe(subgraph)
print(len(pipe)) # Number of steps
print(pipe) # String summary
Methods:
__call__(subgraph)/run(subgraph)— Execute the pipeline__len__()— Number of algorithm steps__repr__()— Developer-friendly summary
Pipeline objects automatically free their native handles when the Python object is collected.