| # Per-file graph example |
|
|
| Install `pyarrow`, `datasets`, and `huggingface_hub`. Copy `pypi_graphs.py` next to |
| your analysis script (or add this directory to `PYTHONPATH`). Pin a dataset commit |
| SHA from the repository's commit history: |
|
|
| ```python |
| from pathlib import Path |
| import pyarrow.parquet as pq |
| from pypi_graphs import download_shard, load_graph, source_record |
| |
| root = Path("pypi-graphs") |
| revision = "<dataset commit SHA>" |
| download_shard(0, root, revision=revision, include_source=True) |
| first = pq.ParquetFile(root / "data/files/train-00000-of-00064.parquet").read_row_group(0).slice(0, 1).to_pylist()[0] |
| graph = load_graph(root, 0, first["source_id"]) |
| print(graph.file["package"], len(graph.nodes), len(graph.relationships)) |
| print(source_record(root, graph.file)["code"][:200]) |
| |
| # These retain full candidate sets and resolution evidence: |
| relationships = graph.relationships |
| # This is an explicitly chosen, incomplete binary view: |
| pairs = list(graph.selected_pairs(include_local_calls=True)) |
| texts = list(graph.embedding_records()) |
| ``` |
|
|
| Read `files.parse_status` before deciding whether a graph is fully analyzed. |
| Empty graphs can correspond to retained failures/skips. The one metadata-error |
| file contains a partial definition hierarchy. Shard alignment means graph tables |
| with the same number contain the same source-file partition, not the same row count. |
|
|
| For large-scale processing, scan batches/row groups instead of calling `load_graph` |
| repeatedly: the small helper demonstrates joins and semantics, not a bulk training |
| input pipeline. Relationships do not have an artificial native edge ID; a downstream |
| edge-instance ID can be derived from a release-pinned row location or aggregation key. |
|
|
