QC capsule for fiber photometry (modality:fib, device:fip) raw data acquired together with HARP/Bonsai-based behavior (e.g. Dynamic Foraging)
run_capsule.py : main script
run_capsule_dev.py : for develipment, in VScode + jupyter-extension env.
Following the "alternate-workflow" with which you don't need to make a new asset, instead directly pushing QC.json to DocDB.
https://github.com/AllenNeuralDynamics/aind-qc-portal?tab=readme-ov-file#alternate-workflow
Steps:
1.reading rawdata
2.generating figures and metrics
3.submitting figures to kachery to obtain unique url
4.Composing QC/QCevals/QCmetrics
5.Pushing QC,josn to DocDB
6.visualizing, manual QCing under AIND-QCportal-app