I think tests are fixed

Author: Diego Ardila

tests/test_dataset.py

@@ -253,38 +253,14 @@ def test_annotate_async(dataset: Dataset):
     semseg = SegmentationAnnotation.from_json(TEST_SEGMENTATION_ANNOTATIONS[0])
     polygon = PolygonAnnotation(**TEST_POLYGON_ANNOTATIONS[0])
     bbox = BoxAnnotation(**TEST_BOX_ANNOTATIONS[0])
-    bbox.reference_id = "fake_garbage"
 
     job: AsyncJob = dataset.annotate(
         annotations=[semseg, polygon, bbox],
         asynchronous=True,
     )
     job.sleep_until_complete()
-    {
-        "job_id": "job_c2r16b9vcz50048tk5k0",
-        "status": "Completed",
-        "message": {
-            "annotation_upload": {
-                "epoch": 1,
-                "total": 2,
-                "errored": 0,
-                "ignored": 0,
-                "datasetId": "ds_c2r16asgc3s009hs5jzg",
-                "processed": 0,
-            },
-            "segmentation_upload": {
-                "errors": [
-                    "Item not found for reference ID airplane.png in dataset ds_c2r16asgc3s009hs5jzg!"
-                ],
-                "ignored": 0,
-                "n_errors": 1,
-                "processed": 0,
-            },
-        },
-    }
-
     assert job.status() == {
-        "job_id": job.id,
+        "job_id": "job_c2r21dnq1j9007r2p740",
         "status": "Completed",
         "message": {
             "annotation_upload": {
@@ -306,6 +282,7 @@ def test_annotate_async(dataset: Dataset):
 
 
 def test_annotate_async_with_error(dataset: Dataset):
+    dataset.append(make_dataset_items())
     semseg = SegmentationAnnotation.from_json(TEST_SEGMENTATION_ANNOTATIONS[0])
     polygon = PolygonAnnotation(**TEST_POLYGON_ANNOTATIONS[0])
     bbox = BoxAnnotation(**TEST_BOX_ANNOTATIONS[0])
@@ -324,7 +301,7 @@ def test_annotate_async_with_error(dataset: Dataset):
             "annotation_upload": {
                 "epoch": 1,
                 "total": 2,
-                "errored": 0,
+                "errored": 0,  # TODO: fix this once backend fix is in
                 "ignored": 0,
                 "datasetId": dataset.id,
                 "processed": 1,