dua-py 0.1.0

Minimal Python bindings for dua-cli traversal trees

dua-py

A minimal Python interface around the Rust traversal engine from dua-cli.

dua represents a traversal as an in-memory StableGraph<EntryData, (), Directed> with TreeIndex node IDs. This package uses PyO3 and maturin to run that traversal, integrate the emitted events into the graph, and return nested Python objects that keep the same tree shape.

Install

pip install dua-py

What gets bundled

dua-py uses the Rust library API from dua-cli; it does not shell out to the dua command-line executable.

When you install a PyPI wheel, the compiled Rust extension includes the dua-cli library code and its Rust dependencies. You do not need to install the standalone dua binary separately.

PyPI wheels are currently built for macOS and Linux. Windows wheels are not published because dua-cli currently requires an unstable Rust feature for its Windows library build.

When pip falls back to the source distribution, the dua-cli source is not vendored into this repository. The build uses Cargo.toml and Cargo.lock, so the machine installing from source needs Rust/Cargo and access to crates.io to fetch and compile the Rust dependencies.

Install for development

python -m venv .venv
source .venv/bin/activate
python -m pip install maturin pytest
maturin develop
pytest

Usage

from pathlib import Path

import dua_py

root = dua_py.walk(Path("."))
print(root.path, root.size, root.entry_count)

for child in root.children:
    print(child.name, child.size)

For multiple traversal roots, use scan():

roots = dua_py.scan(["src", "tests"], apparent_size=True)

API

dua_py.walk(path, **options) -> Entry

Scan a single filesystem path and return one Entry.

dua_py.scan(paths, **options) -> tuple[Entry, ...]

Scan one or more filesystem paths and return the top-level traversal entries.

Options:

• threads: int | None = None - number of walker threads. None uses the available CPU parallelism.
• apparent_size: bool = False - use metadata length instead of allocated disk usage.
• count_hard_links: bool = False - count every hard-link occurrence independently.
• cross_filesystems: bool = True - allow traversal to cross filesystem boundaries.
• ignore_dirs: Iterable[path] | None = None - directories to skip.
• sort: bool = True - sort entries alphabetically while walking and returning children.
• use_root_path: bool = True - keep the root path as the root entry name.

Entry

Entry is an immutable dataclass:

@dataclass(frozen=True)
class Entry:
    name: str
    path: str
    size: int
    mtime: float
    entry_count: int | None
    metadata_io_error: bool
    is_dir: bool
    children: tuple[Entry, ...]

size is reported in bytes. mtime is seconds since the Unix epoch. For directories, size and entry_count are recursively aggregated by dua.