def create_image_level_study(
study_instance_uid,
series_instance_uids: List[str],
sop_class_uids: List[str],
) -> Dataset:
return DICOMQR.parse_c_find_response(
create_c_find_image_response(study_instance_uid, series_instance_uids,
sop_class_uids))[0]
def an_image_level_study() -> List[Study]:
"""A study with series and slice info"""
response = create_c_find_image_response(
study_instance_uid="Study1",
series_instance_uids=["Series1", "Series2"],
sop_class_uids=[f"Instance{i}" for i in range(1, 10)],
)
return DICOMQR.parse_c_find_response(response)
def another_image_level_series() -> Series:
"""A study with series and slice info"""
response = create_c_find_image_response(
study_instance_uid="Study1",
series_instance_uids=["Series2"],
sop_class_uids=[f"Instance{i}" for i in range(1, 10)],
)
study = DICOMQR.parse_c_find_response(response)[0]
return study.get("Series2")
def test_parse_study_response():
"""Parse CFIND response for STUDY level. This is missing any series or instance
info and should yield studies with no series
"""
qr = DICOMQR(host="host", port=123)
parsed = qr.parse_c_find_response(
create_c_find_study_response(
study_instance_uids=[f"Study{i}" for i in range(1, 10)]
)
)
assert len(parsed) == 9
assert len(parsed[0].series) == 0
def test_parse_instance_response():
"""Parse CFIND response for IMAGE level. This should yield a full-depth
study/series/instance object
"""
qr = DICOMQR(host="host", port=123)
parsed = qr.parse_c_find_response(
create_c_find_image_response(
study_instance_uid="Study1",
series_instance_uids=["Series1"],
sop_class_uids=[f"Instance{i}" for i in range(1, 10)],
)
)
assert len(parsed) == 1
assert len(parsed[0].series) == 1
assert len(parsed[0].series[0].instances) == 9
def a_study_level_study():
"""Study witnout slice info"""
return DICOMQR.parse_c_find_response(
create_c_find_study_response(study_instance_uids=["Study2"]))