msw-io 1.2.1

Murine Shift Work session data IO: file codec, namespace utilities, and session readers.

msw-io

Murine Shift Work session data IO: file codec, namespace utilities, and session readers.

Provides a lean, installable library for reading and writing MSW session data without requiring the full murineshiftwork acquisition stack. Install it in analysis environments where you only need to load sessions, not run them.

Key features

• Session readers - load MSW session data (JSONL, PKL, YAML) into structured MswSession models
• Namespace utilities - build and parse MSW session paths from the canonical subject__datetime__task spec
• IO codec - save and load trial data with numpy/tuple encoding
• Standalone - no dependency on the murineshiftwork acquisition stack

Installation

pip install msw-io

Quick start

from murineshiftwork.readers import load_session

session = load_session("/data/mouse_01/session__20260514_143022_123456__gonogo")
print(session.subject, session.task, session.n_trials)

Load an entire acquisition (all sessions in a container directory):

from murineshiftwork.readers import load_acquisition

sessions = load_acquisition("/data/mouse_01/session__20260514_143022_123456__session_gonogo")
for s in sessions:
    print(s.basename, s.is_complete)

Generate session paths for a new recording:

from murineshiftwork.namespace import generate_session_paths

paths = generate_session_paths("mouse_01", "gonogo", "/data", printout=False)
print(paths["session_folder"])

Documentation

Full documentation including API reference: https://murineshiftwork.github.io/msw-io