Add test for wrong attribute import in tracks (#3279)

* add test for wrong attribute import in tracks

* fix annotation for test

* small fix

* fix annotattion for test

* add function to get data from task

cvat/apps/dataset_manager/tests/assets/annotations.json

@@ -43,6 +43,41 @@
       }
     ]
   },
+  "CVAT for video 1.1 attributes in tracks": {
+    "version": 0,
+    "tags": [],
+    "shapes": [],
+    "tracks": [
+      {
+        "frame": 0,
+        "label_id": null,
+        "group": 0,
+        "source": "manual",
+        "shapes": [
+          {
+            "type": "polygon",
+            "occluded": false,
+            "z_order": 0,
+            "points": [25.04, 13.7, 35.85, 20.2, 16.65, 19.8],
+            "frame": 0,
+            "outside": true,
+            "attributes": []
+          },
+          {
+            "type": "polygon",
+            "occluded": false,
+            "z_order": 0,
+            "points": [25.04, 13.7, 35.85, 20.2, 16.65, 19.8],
+            "frame": 1,
+            "outside": false,
+            "attributes": [],
+            "keyframe": true
+          }
+        ],
+        "attributes": []
+      }
+    ]
+  },
   "WiderFace 1.0": {
     "version": 0,
     "tags": [],

cvat/apps/dataset_manager/tests/assets/tasks.json

@@ -97,5 +97,18 @@
         ]
       }
     ]
+  },
+  "many jobs": {
+    "name": "many jobs",
+    "overlap": 0,
+    "segment_size": 5,
+    "owner_id": 1,
+    "labels": [
+      {
+        "name": "car",
+        "color": "#2080c0",
+        "attributes": []
+      }
+    ]
   }
 }

cvat/apps/dataset_manager/tests/test_rest_api_formats.py

@@ -103,6 +103,13 @@ class _DbTestBase(APITestCase):
 
         return task
 
+    def _get_data_from_task(self, task_id, include_images):
+        task_ann = TaskAnnotation(task_id)
+        task_ann.init_from_db()
+        task_data = TaskData(task_ann.ir_data, Task.objects.get(pk=task_id))
+        extractor = CvatTaskDataExtractor(task_data, include_images=include_images)
+        return Dataset.from_extractors(extractor)
+
     def _get_request_with_data(self, path, data, user):
         with ForceLogin(user, self.client):
             response = self.client.get(path, data)
@@ -231,11 +238,45 @@ class TaskDumpUploadTest(_DbTestBase):
                 self._create_annotations(task, f'{dump_format_name}', "random")
 
                 task_id = task["id"]
-                task_ann = TaskAnnotation(task_id)
-                task_ann.init_from_db()
-                task_data = TaskData(task_ann.ir_data, Task.objects.get(pk=task_id))
-                extractor = CvatTaskDataExtractor(task_data, include_images=include_images)
-                data_from_task_before_upload = Dataset.from_extractors(extractor)
+                data_from_task_before_upload = self._get_data_from_task(task_id, include_images)
+
+                # dump annotations
+                url = self._generate_url_dump_tasks_annotations(task_id)
+                data = {
+                    "format": dump_format_name,
+                    "action": "download",
+                }
+                with TestDir() as test_dir:
+                    file_zip_name = osp.join(test_dir, f'{test_name}_{dump_format_name}.zip')
+                    self._download_file(url, data, self.admin, file_zip_name)
+                    self._check_downloaded_file(file_zip_name)
+
+                    # remove annotations
+                    self._remove_annotations(url, self.admin)
+
+                    # upload annotations
+                    url = self._generate_url_upload_tasks_annotations(task_id, upload_format_name)
+                    with open(file_zip_name, 'rb') as binary_file:
+                        self._upload_file(url, binary_file, self.admin)
+
+                    # equals annotations
+                    data_from_task_after_upload = self._get_data_from_task(task_id, include_images)
+                    compare_datasets(self, data_from_task_before_upload, data_from_task_after_upload)\
+
+    def test_api_v1_check_attribute_import_in_tracks(self):
+        test_name = self._testMethodName
+        dump_format_name = "CVAT for video 1.1"
+        upload_format_name = "CVAT 1.1"
+
+        for include_images in (False, True):
+            with self.subTest():
+                # create task with annotations
+                images = self._generate_task_images(13)
+                task = self._create_task(tasks["many jobs"], images)
+                self._create_annotations(task, f'{dump_format_name} attributes in tracks', "default")
+
+                task_id = task["id"]
+                data_from_task_before_upload = self._get_data_from_task(task_id, include_images)
 
                 # dump annotations
                 url = self._generate_url_dump_tasks_annotations(task_id)
@@ -257,9 +298,5 @@ class TaskDumpUploadTest(_DbTestBase):
                         self._upload_file(url, binary_file, self.admin)
 
                     # equals annotations
-                    task_ann = TaskAnnotation(task_id)
-                    task_ann.init_from_db()
-                    task_data = TaskData(task_ann.ir_data, Task.objects.get(pk=task_id))
-                    extractor = CvatTaskDataExtractor(task_data, include_images=include_images)
-                    data_from_task_after_upload = Dataset.from_extractors(extractor)
+                    data_from_task_after_upload = self._get_data_from_task(task_id, include_images)
                     compare_datasets(self, data_from_task_before_upload, data_from_task_after_upload)