Closed LKINSEY closed 1 month ago
current workaround:
Im going to make a gate that says if no movie files are around, then assume all trials are good trials
if len(behavior_data['scanimage_file_names'])==20:#if == 'no movie files found' goodtrials = np.full((1,len(behavior_data['reward_L'])), True) hittrials = np.where((behavior_data['reward_L'])>0, True, False) else: for r,sfn in zip(behavior_data['reward_L'],behavior_data['scanimage_file_names']): if type(sfn) == str: goodtrials.append(False) else: goodtrials.append(True) if len(r)==0: hittrials.append(False) else: hittrials.append(True)
I dont know if this is a safe assumption to make for further data processing pipeline, but it resolves the issue temporarily at least
pls use code block with: ```
So it will be easier to read your code here
I think we are talking about 2 separate things. There are behavior videos, and 2p videos. The scanimage_file_names are the 2p videos, if there are no 2p videos, there are not trials, nothing should be analyzed.
But it seems like here there are rewards, so there has to be 2p videos, otherwise BCI doesn't work. I am a bit confused. There is nothing in this code about behavior videos.
Can you point me to the line in the code? Also, which session is this?
Sure thing, will use ``` moving forward.
274-286 of the main_utility.py script
this is the prepareSessionJSON function. Actually I took a look and realized I needed to update what path I was giving this function since I updated the organization of raw data into a pophys folder
So is this resolved? if so, pls remove this part: https://github.com/LKINSEY/MetaDataGUI/blob/90d0b9a6b348d0c39e8ea1f553fa5aa093d2a875/main_utility.py#L274
fixed:
rawDataPath = f'Y:/{WRname}/{dateFileFormat}/pophys'
...
...
extract_behavior(WRname, rawDataPath, behavior_folder_staging)
issue in prepareSessionJSON when no videos are recorded:
for i,j in zip(behavior_data['reward_L'],behavior_data['scanimage_file_names']): print(i, j)
[4.2178] n [4.5397] o [8.5257]
[4.2094] m [4.0163] o [4.4891] v [7.0645] i [6.0741] e [5.7221]
[6.1709] f [] i [] l [9.6621] e [5.879] s [9.2404]
[] f [] o [] u [] n [] d