Device Status

[lawhead]

Overview

Added active/passive status to devices.

Ticket

https://www.pivotaltracker.com/story/show/186164071

Contributions

• Added a new field to DeviceSpec for the device status. Updated the loading / saving code to read/write the field. Updated devices.json to use a default value of 'active'.
• Updated acquisition.py module to allow for setting this field using the parameters.
• Updated offline_analysis to only train models for active devices.
• Updated Copy Phrase task to only create evidence_evaluators for active devices.
• Added unit tests

Test

• Ran all unit tests
• Ran a calibration task with "acq_mode": "EEG+Eyetracker:passive", followed by offline analysis to confirm that only the EEG model was trained. Changed the devices.json in the calibration folder, ran the offline analysis, and confirmed that the code attempted to train both models.

[tab-cmd]

This looks good!

I looked around and couldn't find any documentation on configuring devices. I'm not sure what the best location would be, but a small blurb about setting active/passive in the main README could be helpful (maybe near the core modules section).

[lawhead]

Ugh, sorry about that. I forgot to push the commit with the documentation.