def test_study_find_patient_attrs_with_filters_negative(pacs_srv: pacs.PACS):
request = Dataset()
request.PatientName = 'Test1^*'
request.SpecificCharacterSet = 'ISO_IR 192'
request.QueryRetrieveLevel = 'STUDY'
request.AccessionNumber = '1234'
assert not list(pacs_srv.c_find(request))
def test_study_find_no_patient_attrs(pacs_srv: pacs.PACS):
request = Dataset()
request.SpecificCharacterSet = 'ISO_IR 192'
request.QueryRetrieveLevel = 'STUDY'
request.AccessionNumber = '1234'
results = list(pacs_srv.c_find(request))
assert len(results) == 1
assert results[0].AccessionNumber == '1234'
def test_study_find_modalities_in_study_no_filter(pacs_srv: pacs.PACS):
request = Dataset()
request.SpecificCharacterSet = 'ISO_IR 192'
request.QueryRetrieveLevel = 'STUDY'
request.AccessionNumber = '1234'
request.ModalitiesInStudy = None
results = list(pacs_srv.c_find(request))
assert len(results) == 1
assert results[0].ModalitiesInStudy == ['DX', 'SR']
def test_study_find_patient_attrs_with_filters_positive(pacs_srv: pacs.PACS):
request = Dataset()
request.PatientName = 'Test^*'
request.SpecificCharacterSet = 'ISO_IR 192'
request.QueryRetrieveLevel = 'STUDY'
request.AccessionNumber = '1234'
results = list(pacs_srv.c_find(request))
assert len(results) == 1
assert results[0].AccessionNumber == '1234'
assert results[0].PatientName == 'Test^Test^Test'
def move_accession_number(accession_number, one_per_series=True):
if one_per_series:
print('Getting metadata for study')
d = make_dataset('image')
d.AccessionNumber = accession_number
d.QueryRetrieveLevel = 'IMAGE'
x = do_find(d)
x = query_results_to_dataframe(x)
y = x.groupby('SeriesInstanceUID').SOPInstanceUID.first()
print('Grabbing images')
for sop_instance_uid in y:
move_sop_instance(sop_instance_uid)
else:
d = Dataset()
d.QueryRetrieveLevel = 'STUDY'
d.AccessionNumber = accession_number
do_move(d)
def make_dataset(query_level='series', **kwargs):
if query_level == 'study':
d = Dataset()
d.QueryRetrieveLevel = 'STUDY'
d.StudyDate = ''
#Required
d.StudyInstanceUID = ''
#Optional
d.PatientName = ''
d.PatientID = ''
d.AccessionNumber = ''
d.StudyDescription = ''
d.StudyID = ''
d.StudyTime = ''
d.StudyInstanceUID = ''
d.NumberOfStudyRelatedSeries = ''
d.StationName = ''
d.SpecificCharacterSet = ''
d.ModalitiesInStudy = ''
d.Manufacturer = ''
d.ManufacturerModelName = ''
d.InstitutionName = ''
if query_level == 'series':
d = Dataset()
d.QueryRetrieveLevel = 'SERIES'
d.SeriesDescription = ''
d.SeriesNumber = ''
d.SeriesInstanceUID = ''
d.Modality = ''
d.NumberOfSeriesRelatedInstances = ''
d.StationName = ''
d.SpecificCharacterSet = ''
d.SeriesDate = ''
d.AccessionNumber = ''
d.SeriesTime = ''
d.Manufacturer = ''
d.ManufacturerModelName = ''
d.SOPClassUID = ''
if query_level == 'image':
d = Dataset()
d.QueryRetrieveLevel = "IMAGE"
#Required
d.SeriesInstanceUID = ''
#Optional
d.StudyInstanceUID = ''
d.SOPInstanceUID = ''
d.AccessionNumber = ''
d.StationName = ''
d.SeriesDate = ''
d.SeriesTime = ''
d.SOPClassUID = ''
d.InstanceNumber = ''
d.SpecificCharacterSet = ''
d.StudyInstanceUID = ''
if query_level == 'patient': #todo find optional tags
d = Dataset()
d.QueryRetrieveLevel = 'PATIENT'
d.PatientName = ''
d.PatientSex = ''
d.PatientID = ''
d.AccessionNumber = ''
for k, v in kwargs.items():
try:
d = write_tag_by_keyword(d, k, v)
except:
print(f'could not write tag: "{k}" with value: {v}')
return d
