commonmeta-rs 0.9.37

PyO3 bindings for commonmeta-rs's list/batch functions (VRAIX dump fetch+cache, Parquet I/O, batched archives)

commonmeta-rs (Python bindings)

PyO3 bindings exposing commonmeta-rs's list-command batch functions to Python: VRAIX daily-dump fetch with local caching, lossless Parquet read/write, and batched archive rendering. Records cross the FFI boundary as plain JSON-shaped dicts — the same shape commonmeta-py's own readers and writers already produce and consume.

Install

uv pip install commonmeta-rs

Requires CPython 3.14 or newer. The wheels are built against the stable ABI (abi3-py314), so one wheel per platform also covers later 3.x releases. commonmeta-py itself keeps a 3.9 floor; only this backend needs 3.14.

Development

The interpreter must be 3.14+, matching requires-python; an older venv fails to build rather than falling back.

uv venv --python 3.14 .venv
uv pip install --python .venv/bin/python maturin pytest
source .venv/bin/activate
maturin develop
pytest tests/

Release

Releases are published by hand. PyPI trusted publishing only issues OIDC identities to GitHub, GitLab, Google Cloud and ActiveState, and this repo lives on Codeberg, so CI cannot authenticate to PyPI — the workflow builds and tests wheels only.

The version comes from [workspace.package] in the root Cargo.toml and is shared with the commonmeta crate, so a wheel names the release it wraps. Bump it there, not here.

rm -rf dist
maturin build --release --out dist   # repeat per platform, or take CI artifacts
maturin sdist --out dist
uv publish --token "$PYPI_TOKEN" dist/*

Publishing from one machine uploads only that platform's wheel; other platforms fall back to building from the sdist. To ship binaries for every platform, collect the wheels-* artifacts from the workflow into dist/ first.

API

• fetch_vraix(source, date, input_path=None, limit=None, offset=0, cache_ttl_days=30) -> list[dict] Fetch records from a VRAIX daily dump (source is "crossref" or "datacite"). With input_path, reads a local SQLite file directly (no network); otherwise downloads {source}-{date}.sqlite3.zst from metadata.vraix.org, caching it locally for cache_ttl_days.
• write_parquet(records: list[dict]) -> bytes Write records as a single lossless Parquet file.
• read_parquet(data: bytes) -> list[dict] Read records back from Parquet bytes written by write_parquet.
• write_archive(records: list[dict], to: str, base_name: str, batch_size=100_000) -> list[tuple[str, bytes]] Render records to to format, split into batches of at most batch_size records, returned as (entry_name, bytes) pairs ready to pack into a zip/tar archive.
• convert(from_: str, to: str, input: str) -> bytes Convert a single record between formats.