[Feature Request] Requested QA for dynamic foraging refactor

[rachelstephlee]

Is your feature request related to a problem? Please describe.
There should be on-rig QA for the dynamic foraging task. We should have QA for particular FIP, video, and behavior that would require the RA to immediately contact scientists to fix.

Describe the solution you'd like
FIP:

• In a few sessions, we've seen the FIP cut off suddenly, much shorter than the behavior sessions. We should have on-rig QA to detect this (https://github.com/AllenNeuralDynamics/aind-physio-arch/issues/1068)
• If we see oscillation in data (due to light leakage), we should notify this as well

Video: (Not sure if this is already in the refactor plan)

• Dropped frames should be notified to the user immediately
• Already part of the refactor plan Exposure, brightness, and focus should also be checked (Bruno already has existing code for this that he has implemented for VR foraging: https://github.com/AllenNeuralDynamics/contraqctor/blob/main/src/contraqctor/qc/camera.py)

Approval Steps, please check off when completed

• Scientific Merit review from Platform leadership team
• SIPE HW review of proposed changes
• SIPE SW review of proposed changes
• SciComp review of metadata of changes to metadata
• SciComp review of changes needed for the CO processing pipeline
• Testing

Requested Timeline
Please describe the timeline for this feature request. The more precise the better

Related tickets
Please link to any related Github or SIPE tickets

[alexpiet]

Transferring the issue to the new repo.

@rachelstephlee as I said on teams, you should move FIP requests to the FIP repo.

@micahwoodard Lets check in on how the camera QA works once we are in production testing

[micahwoodard]

@rachelstephlee there was a pr merge #128. Does this address the camera qa you wanted?

[rachelstephlee]

only the basic ones! we'll also need bruno's additional QA on the exposure, brightness etc.

[micahwoodard]

• Already part of the refactor plan Exposure, brightness, and focus should also be checked (Bruno already has existing code for this that he has implemented for VR foraging: https://github.com/AllenNeuralDynamics/contraqctor/blob/main/src/contraqctor/qc/camera.py)

@rachelstephlee are you talking about these or are there additional qa steps you had in mind? The camera test suite is implemented here already