scan, mri = import_mask(sid)
mri = store.create_entity('MRIData', **mri)
scan['has_data'] = mri.eid
scan['related_study'] = study.eid
# Get the relative filepath
scan['filepath'] = osp.relpath(scan['filepath'], start=root_dir)
scan = store.create_entity('Scan', **scan)
store.relate(scan.eid, 'concerns', subject.eid, subjtype='Scan')
store.relate(scan.eid, 'uses_device', device_id)
store.relate(assessment.eid, 'generates', scan.eid, subjtype='Assessment')
# Questionnaire run ###################################################
assessment = import_assessment(sid, age_for_assessment, 'questionnaire', study.eid)
assessment = store.create_entity('Assessment', **assessment)
store.relate(center_eid, 'holds', assessment.eid)
store.relate(subject.eid, 'concerned_by', assessment.eid)
run, answers = import_questionnaire_run(sid, questionnaire.eid, questions_id)
run['related_study'] = study.eid
run = store.create_entity('QuestionnaireRun', **run)
# Answers
for answer in answers:
answer['questionnaire_run'] = run.eid
answer = store.create_entity('Answer', **answer)
store.relate(run.eid, 'concerns', subject.eid, subjtype='QuestionnaireRun')
store.relate(assessment.eid, 'generates', run.eid, subjtype='Assessment')
# Flush/Commit
if sqlgen_store:
store.flush()
store.commit()
