Labelbox · jtsodapop · Nov 16, 2021 · Nov 12, 2021 · Nov 12, 2021 · Nov 12, 2021
@@ -27,10 +27,18 @@ def dict(self, *args, **kwargs):
 
     @validator('classifications', pre=True)
     def validate_subclasses(cls, value, field):
-        # Dropdown subclasses create extra unessesary nesting. So we just remove it.
+        # checklist subclasses create extra unessesary nesting. So we just remove it.
         if isinstance(value, list) and len(value):
-            if isinstance(value[0], list):
-                return value[0]
+            subclasses = []
+            for v in value:
+                # this is due to Checklists providing extra brackets []. We grab every item
+                # in the brackets if this is the case
+                if isinstance(v, list):
+                    for inner_v in v:
+                        subclasses.append(inner_v)
+                else:
+                    subclasses.append(v)
+            return subclasses
         return value
 
 

@@ -9,6 +9,10 @@
     'tests/data/assets/labelbox_v1/highly_nested_image.json',
     'tests/data/assets/labelbox_v1/image_export.json'
 ])
+#TODO: some checklists from the export come in as [checklist ans: []]
+# while others are checklist ans: []... when we can figure out why we sometimes
+# have extra brackets, we can look into testing nested checklist answers
+# and ensuring the export's output matches deserialized/serialized output
 def test_image(file_path):
     with open(file_path, 'r') as file:
         payload = json.load(file)
@@ -32,7 +36,6 @@ def test_image(file_path):
                     if isinstance(annotation_b['classifications'][0], list):
                         annotation_b['classifications'] = annotation_b[
                             'classifications'][0]
-
                 assert annotation_a == annotation_b
 
 

@@ -20,7 +20,7 @@
 from labelbox.pagination import PaginatedCollection
 from labelbox.schema.invite import Invite
 from labelbox.schema.user import User
-from labelbox import OntologyBuilder, Tool
+from labelbox import OntologyBuilder, Tool, Option, Classification
 from labelbox.schema.annotation_import import LabelImport
 
 IMG_URL = "https://picsum.photos/200/300"
@@ -333,3 +333,55 @@ def configured_project_with_label(client, rand_gen, image_url):
     yield [project, label]
     dataset.delete()
     project.delete()
+
+
+@pytest.fixture
+def configured_project_with_complex_ontology(client, rand_gen, image_url):
+    project = client.create_project(name=rand_gen(str))
+    dataset = client.create_dataset(name=rand_gen(str), projects=project)
+    data_row = dataset.create_data_row(row_data=image_url)
+    editor = list(
+        project.client.get_labeling_frontends(
+            where=LabelingFrontend.name == "editor"))[0]
+
+    ontology = OntologyBuilder()
+    tools = [
+        Tool(tool=Tool.Type.BBOX, name="test-bbox-class"),
+        Tool(tool=Tool.Type.LINE, name="test-line-class"),
+        Tool(tool=Tool.Type.POINT, name="test-point-class"),
+        Tool(tool=Tool.Type.POLYGON, name="test-polygon-class"),
+        Tool(tool=Tool.Type.NER, name="test-ner-class")
+    ]
+
+    options = [
+        Option(value="first option answer"),
+        Option(value="second option answer"),
+        Option(value="third option answer")
+    ]
+
+    classifications = [
+        Classification(class_type=Classification.Type.TEXT,
+                       instructions="test-text-class"),
+        Classification(class_type=Classification.Type.DROPDOWN,
+                       instructions="test-dropdown-class",
+                       options=options),
+        Classification(class_type=Classification.Type.RADIO,
+                       instructions="test-radio-class",
+                       options=options),
+        Classification(class_type=Classification.Type.CHECKLIST,
+                       instructions="test-checklist-class",
+                       options=options)
+    ]
+
+    for t in tools:
+        for c in classifications:
+            t.add_classification(c)
+        ontology.add_tool(t)
+    for c in classifications:
+        ontology.add_classification(c)
+
+    project.setup(editor, ontology.asdict())
+
+    yield [project, data_row]
+    dataset.delete()
+    project.delete()
@@ -0,0 +1,57 @@
+import uuid
+from labelbox.data.annotation_types.annotation import ObjectAnnotation
+
+from labelbox.schema.annotation_import import LabelImport
+
+
+def test_export_annotations_nested_checklist(
+        client, configured_project_with_complex_ontology):
+    project, data_row = configured_project_with_complex_ontology
+    ontology = project.ontology().normalized
+
+    tool = ontology["tools"][0]
+
+    nested_check = [
+        subc for subc in tool["classifications"]
+        if subc["name"] == "test-checklist-class"
+    ][0]
+
+    data = [{
+        "uuid":
+            str(uuid.uuid4()),
+        "schemaId":
+            tool['featureSchemaId'],
+        "dataRow": {
+            "id": data_row.uid
+        },
+        "bbox": {
+            "top": 20,
+            "left": 20,
+            "height": 50,
+            "width": 50
+        },
+        "classifications": [{
+            "schemaId":
+                nested_check["featureSchemaId"],
+            "answers": [
+                {
+                    "schemaId": nested_check["options"][0]["featureSchemaId"]
+                },
+                {
+                    "schemaId": nested_check["options"][1]["featureSchemaId"]
+                },
+            ]
+        }]
+    }]
+
+    task = LabelImport.create_from_objects(client, project.uid,
+                                           f'label-import-{uuid.uuid4()}', data)
+    task.wait_until_done()
+    labels = project.label_generator().as_list()
+    object_annotation = [
+        annot for annot in next(labels).annotations
+        if isinstance(annot, ObjectAnnotation)
+    ][0]
+
+    nested_class_answers = object_annotation.classifications[0].value.answer
+    assert len(nested_class_answers) == 2