wags-tails 0.3.0

Data acquisition tools for Wagnerds

Wags-TAILS

Technology-Assisted Information Loading and Structure (TAILS) for Wagnerds.

This tool provides data acquisition and access utilities for several projects developed by the Wagner Lab. It designates a storage location in user-space where external data files can be saved, and provides methods to download and update them when available.

It is currently used in:

• Thera-Py
• Gene Normalizer
• Disease Normalizer
• and more!

---

Documentation · Installation · Usage · API reference

---

Installation

Install from PyPI:

python3 -m pip install wags_tails

---

Overview

Data source classes provide a get_latest() method that acquires the most recent available data file and returns a pathlib.Path object with its location:

>>> from wags_tails.mondo import MondoData
>>> m = MondoData()
>>> m.get_latest(force_refresh=True)
Downloading mondo.obo: 100%|█████████████████| 171M/171M [00:28<00:00, 6.23MB/s]
PosixPath('/Users/genomicmedlab/.local/share/wags_tails/mondo/mondo_20241105.obo'), '20241105'

This method is also available as a shell command for ease of use and for interoperability with other runtimes:

% wags-tails get-latest mondo
/Users/genomicmedlab/.local/share/wags_tails/mondo/mondo_20241105.obo

---

Configuration

All data is stored within source-specific subdirectories of a designated WagsTails data directory. By default, this location is ~/.local/share/wags_tails/, but it can be configured by passing a Path directly to a data class on initialization, via the $WAGS_TAILS_DIR environment variable, or via XDG data environment variables.

---

Feedback and contributing

We welcome bug reports, feature requests, and code contributions from users and interested collaborators. The documentation contains guidance for submitting feedback and contributing new code.