def test_analyze():
config_entry = wh.ConfigurationEntity(id='test', type='test', uid=99)
configs = [config_entry]
allergy_annotator = wh.Annotator(name=wh.Name.ALLERGY)
attr_detect_annotator = wh.Annotator(name=wh.Name.ATTRIBUTE_DETECTION)
bathing_annotator = wh.Annotator(name=wh.Name.BATHING_ASSISTANCE)
cancer_annotator = wh.Annotator(name=wh.Name.CANCER)
concept_detect_annotator = wh.Annotator(name=wh.Name.CONCEPT_DETECTION)
disambig_annotator = wh.Annotator(name=wh.Name.DISAMBIGUATION)
dressing_annotator = wh.Annotator(name=wh.Name.DRESSING_ASSISTANCE)
eating_annotator = wh.Annotator(name=wh.Name.EATING_ASSISTANCE)
ef_annotator = wh.Annotator(name=wh.Name.EJECTION_FRACTION)
hypothetical_annotator = wh.Annotator(name=wh.Name.HYPOTHETICAL)
lab_value_annotator = wh.Annotator(name=wh.Name.LAB_VALUE)
medication_annotator = wh.Annotator(name=wh.Name.MEDICATION)
named_entities_annotator = wh.Annotator(name=wh.Name.NAMED_ENTITIES)
negation_annotator = wh.Annotator(name=wh.Name.NEGATION)
procedure_annotator = wh.Annotator(name=wh.Name.PROCEDURE)
seeing_annotator = wh.Annotator(name=wh.Name.SEEING_ASSISTANCE)
smoking_annotator = wh.Annotator(name=wh.Name.SMOKING)
spelling_annotator = wh.Annotator(name=wh.Name.SPELL_CHECKER)
symptom_disease_annotator = wh.Annotator(name=wh.Name.SYMPTOM_DISEASE)
toileting_annotator = wh.Annotator(name=wh.Name.TOILETING_ASSISTANCE)
walking_annotator = wh.Annotator(name=wh.Name.WALKING_ASSISTANCE)
section = wh.Annotator(name=wh.Name.SECTION)
model_broker = wh.Annotator(name=wh.Name.MODEL_BROKER)
flow_entries = []
flow_entries.append(wh.FlowEntry(allergy_annotator))
flow_entries.append(wh.FlowEntry(attr_detect_annotator))
flow_entries.append(wh.FlowEntry(bathing_annotator))
flow_entries.append(wh.FlowEntry(cancer_annotator))
flow_entries.append(wh.FlowEntry(concept_detect_annotator))
flow_entries.append(wh.FlowEntry(disambig_annotator))
flow_entries.append(wh.FlowEntry(dressing_annotator))
flow_entries.append(wh.FlowEntry(eating_annotator))
flow_entries.append(wh.FlowEntry(ef_annotator))
flow_entries.append(wh.FlowEntry(hypothetical_annotator))
flow_entries.append(wh.FlowEntry(lab_value_annotator))
flow_entries.append(wh.FlowEntry(medication_annotator))
flow_entries.append(wh.FlowEntry(named_entities_annotator))
# flow_entries.append(wh.FlowEntry(negation_annotator))
flow_entries.append(wh.FlowEntry(procedure_annotator))
flow_entries.append(wh.FlowEntry(seeing_annotator))
flow_entries.append(wh.FlowEntry(smoking_annotator))
flow_entries.append(wh.FlowEntry(spelling_annotator))
flow_entries.append(wh.FlowEntry(symptom_disease_annotator))
flow_entries.append(wh.FlowEntry(toileting_annotator))
flow_entries.append(wh.FlowEntry(walking_annotator))
flow_entries.append(wh.FlowEntry(section))
flow_entries.append(wh.FlowEntry(model_broker))
flow = wh.Flow(elements=flow_entries, async_=False)
annotator_flow = wh.AnnotatorFlow(flow)
containers = [wh.UnstructuredContainer(text=TEXT)]
data = ACD.analyze(TEXT, flow)
tuc.TestUnstructuredContainer.test_unstructured_container(data=data)
def test_analyze_flow_request_list():
container = [wh.UnstructuredContainer(TEXT)]
container_group = ACD.analyze_with_flow(FLOW, container)
for unstructured_container in container_group.unstructured:
if unstructured_container.text is not None:
assert unstructured_container.text == TEXT
if unstructured_container.id is not None:
assert unstructured_container.id != '0'
if unstructured_container.type is not None:
assert unstructured_container.type != 'bogus'
assert unstructured_container.data is not None
tuc.TestUnstructuredContainer.test_unstructured_container(data=unstructured_container.data)
def test_UnstructuredContainer_model():
container_annotation = wh.ContainerAnnotation()
metadata_dict = {}
model = wh.UnstructuredContainer(text="text", id="id", type="type", data=container_annotation,
metadata=metadata_dict, uid=1)
assert model.__str__() is not None
def test_analyze_flow_container():
container = wh.UnstructuredContainer(TEXT)
data = ACD.analyze_with_flow(FLOW, container)
tuc.TestUnstructuredContainer.test_unstructured_container(data=data)
def test_analyze_org():
config_entry = wh.ConfigurationEntity(id='test', type='test', uid=99)
configs = [config_entry]
allergy_annotator = wh.Annotator(name=wh.Name.ALLERGY)
attr_detect_annotator = wh.Annotator(name=wh.Name.ATTRIBUTE_DETECTION)
bathing_annotator = wh.Annotator(name=wh.Name.BATHING_ASSISTANCE)
cancer_annotator = wh.Annotator(name=wh.Name.CANCER)
concept_detect_annotator = wh.Annotator(name=wh.Name.CONCEPT_DETECTION)
disambig_annotator = wh.Annotator(name=wh.Name.DISAMBIGUATION)
dressing_annotator = wh.Annotator(name=wh.Name.DRESSING_ASSISTANCE)
eating_annotator = wh.Annotator(name=wh.Name.EATING_ASSISTANCE)
ef_annotator = wh.Annotator(name=wh.Name.EJECTION_FRACTION)
hypothetical_annotator = wh.Annotator(name=wh.Name.HYPOTHETICAL)
lab_value_annotator = wh.Annotator(name=wh.Name.LAB_VALUE)
medication_annotator = wh.Annotator(name=wh.Name.MEDICATION)
named_entities_annotator = wh.Annotator(name=wh.Name.NAMED_ENTITIES)
negation_annotator = wh.Annotator(name=wh.Name.NEGATION)
procedure_annotator = wh.Annotator(name=wh.Name.PROCEDURE)
seeing_annotator = wh.Annotator(name=wh.Name.SEEING_ASSISTANCE)
smoking_annotator = wh.Annotator(name=wh.Name.SMOKING)
spelling_annotator = wh.Annotator(name=wh.Name.SPELL_CHECKER)
symptom_disease_annotator = wh.Annotator(name=wh.Name.SYMPTOM_DISEASE)
toileting_annotator = wh.Annotator(name=wh.Name.TOILETING_ASSISTANCE)
walking_annotator = wh.Annotator(name=wh.Name.WALKING_ASSISTANCE)
section = wh.Annotator(name=wh.Name.SECTION)
flow_entries = []
flow_entries.append(wh.FlowEntry(allergy_annotator))
flow_entries.append(wh.FlowEntry(attr_detect_annotator))
flow_entries.append(wh.FlowEntry(bathing_annotator))
flow_entries.append(wh.FlowEntry(cancer_annotator))
flow_entries.append(wh.FlowEntry(concept_detect_annotator))
flow_entries.append(wh.FlowEntry(disambig_annotator))
flow_entries.append(wh.FlowEntry(dressing_annotator))
flow_entries.append(wh.FlowEntry(eating_annotator))
flow_entries.append(wh.FlowEntry(ef_annotator))
flow_entries.append(wh.FlowEntry(hypothetical_annotator))
flow_entries.append(wh.FlowEntry(lab_value_annotator))
flow_entries.append(wh.FlowEntry(medication_annotator))
flow_entries.append(wh.FlowEntry(named_entities_annotator))
flow_entries.append(wh.FlowEntry(negation_annotator))
flow_entries.append(wh.FlowEntry(procedure_annotator))
flow_entries.append(wh.FlowEntry(seeing_annotator))
flow_entries.append(wh.FlowEntry(smoking_annotator))
flow_entries.append(wh.FlowEntry(spelling_annotator))
flow_entries.append(wh.FlowEntry(symptom_disease_annotator))
flow_entries.append(wh.FlowEntry(toileting_annotator))
flow_entries.append(wh.FlowEntry(walking_annotator))
flow_entries.append(wh.FlowEntry(section))
flow = wh.Flow(elements=flow_entries, async_=False)
annotator_flow = wh.AnnotatorFlow(flow=flow)
containers = [wh.UnstructuredContainer(text=TEXT)]
flows = [annotator_flow]
response = ACD.analyze_org(containers, flows)
container_group = wh.ContainerGroup._from_dict(response.get_result())
for unstructured_container in container_group.unstructured:
if unstructured_container.text is not None:
assert unstructured_container.text == TEXT
if unstructured_container.id is not None:
assert unstructured_container.id != '0'
if unstructured_container.type is not None:
assert unstructured_container.type != 'bogus'
assert unstructured_container.data is not None
tuc.TestUnstructuredContainer.test_unstructured_container(
data=unstructured_container.data)