Temporarily skip create_data_rows_sync tests

This method is not supported by ADV

Author: Val Brodsky

tests/integration/test_data_rows.py

@@ -409,13 +409,16 @@ def test_create_data_rows_with_metadata(mdo, dataset, image_url):
             assert mdo._parse_upsert(m)
 
 
-@pytest.mark.parametrize("test_function,metadata_obj_type",
-                         [("create_data_rows", "class"),
-                          ("create_data_rows", "dict"),
-                          ("create_data_rows_sync", "class"),
-                          ("create_data_rows_sync", "dict"),
-                          ("create_data_row", "class"),
-                          ("create_data_row", "dict")])
+@pytest.mark.parametrize(
+    "test_function,metadata_obj_type",
+    [
+        ("create_data_rows", "class"),
+        ("create_data_rows", "dict"),
+        #   ("create_data_rows_sync", "class"),
+        #   ("create_data_rows_sync", "dict"),
+        ("create_data_row", "class"),
+        ("create_data_row", "dict")
+    ])
 def test_create_data_rows_with_named_metadata_field_class(
         test_function, metadata_obj_type, mdo, dataset, image_url):
 
@@ -459,7 +462,7 @@ def create_data_row(data_rows):
 
     CREATION_FUNCTION = {
         "create_data_rows": dataset.create_data_rows,
-        "create_data_rows_sync": dataset.create_data_rows_sync,
+        # "create_data_rows_sync": dataset.create_data_rows_sync,
         "create_data_row": create_data_row
     }
     data_rows = [METADATA_FIELDS[metadata_obj_type]]
@@ -690,6 +693,7 @@ def test_data_row_attachments(dataset, image_url):
         }])
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_create_data_rows_sync_attachments(dataset, image_url):
     attachments = [("IMAGE", image_url, "image URL"),
                    ("RAW_TEXT", "test-text", None),
@@ -713,6 +717,7 @@ def test_create_data_rows_sync_attachments(dataset, image_url):
         assert len(list(data_row.attachments())) == attachments_per_data_row
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_create_data_rows_sync_mixed_upload(dataset, image_url):
     n_local = 100
     n_urls = 100
@@ -908,6 +913,7 @@ def test_data_row_delete_and_create_with_same_global_key(
     assert task.result[0]['global_key'] == global_key_1
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_data_row_bulk_creation_sync_with_unique_global_keys(
         dataset, sample_image):
     global_key_1 = str(uuid.uuid4())
@@ -933,6 +939,7 @@ def test_data_row_bulk_creation_sync_with_unique_global_keys(
            } == {global_key_1, global_key_2, global_key_3}
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_data_row_bulk_creation_sync_with_same_global_keys(
         dataset, sample_image, is_adv_enabled):
     global_key_1 = str(uuid.uuid4())
@@ -964,7 +971,8 @@ def test_data_row_bulk_creation_sync_with_same_global_keys(
         assert list(dataset.data_rows())[0].global_key == global_key_1
 
 
-def test_create_conversational_text(dataset, conversational_content):
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
+def test_create_conversational_text(client, dataset, conversational_content):
     examples = [
         {
             **conversational_content, 'media_type':
@@ -983,6 +991,7 @@ def test_create_conversational_text(dataset, conversational_content):
             data_row.row_data).json() == conversational_content['row_data']
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_invalid_media_type(dataset, conversational_content, is_adv_enabled):
     for error_message, invalid_media_type in [[
             "Found invalid contents for media type: 'IMAGE'", 'IMAGE'
@@ -1005,6 +1014,7 @@ def test_invalid_media_type(dataset, conversational_content, is_adv_enabled):
         assert task.errors == {'message': error_message}
 
 
+@pytest.mark.skip(reason="create_data_rows_sync not supported by ADV yet")
 def test_create_tiled_layer(dataset, tile_content):
     examples = [
         {