Differentiating Partial Penn CNB Data from Missing Data

[kcho]

utility/subject_files_status_for_dpdash1.py

Lines 263 to 304 in 09d0db2

	def get_cnb_status():
	interview_date=get_value(timepoint,'chrpenn_interview_date')
	if interview_date=='':
	return {'cnb_data':'', 'cnb_protocol':'', 'cnb_date':'', 'cnb_missing':''}
	if get_value(timepoint,'chrpenn_missing')=='1':
	missing_code=get_value(timepoint,'chrpenn_missing_spec')
	return {'cnb_data':'', 'cnb_protocol':'', 'cnb_date':interview_date, 'cnb_missing':missing_code}
	scan_minus_consent=str_date_minus_str_date(consent_date,interview_date)
	days_since_scan=str_date_minus_str_date(interview_date,today)
	# populate Data Transferred row
	# load .UPENN.json
	# check if interview_date exists twice among all session_date
	data=-days_since_scan
	upenn=s.replace(f'.{network}.json','.UPENN.json')
	if isfile(upenn):
	with open(upenn) as f:
	dict1=json.load(f)
	count=0
	for d in dict1:
	if abs(str_date_minus_str_date(d['session_date'],interview_date))<=30:
	count+=1
	# NOTE some subjects may have just one session
	if count==2:
	data=1
	# populate Protocol Followed row
	protocol=1
	if get_value(timepoint,f'chrpenn_complete')!='0':
	protocol=0
	dict2={'cnb_data':data, 'cnb_protocol':protocol, 'cnb_date':interview_date,
	'cnb_missing':''}
	return dict2

In the get_cnb_status function, for the data variable to be assigned a value of 1, dict1 must contain two specific items: SPLLT and NOSPLLT. However, there are instances where only one of these items is present. These cases should be distinctly labeled, setting them apart from situations where data equals 0.