Merge pull request #119 from aws-lumberyard-dev/jckand/LYN-2764

LYN-2764: Replacing image asset for ImageGradient automated test
2021-04-17 12:06:59 -05:00
parent 407885dd1b 7216b40342
commit cc6393b074
4 changed files with 6 additions and 6 deletions
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:171f38d536d7b805cc644513d22dae5552a4eef2bffb88e97e089898cf769530
+size 2126
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6388466c97009fd3993e5d3b59a2b0961f623c6becbd0a12a0a5eb7bd8da5d4e
-size 12302
@@ -77,13 +77,13 @@ class TestImageGradient(EditorTestHelper):
        # 3) Assign the processed gradient signal image as the Image Gradient's image asset and verify success

        # First, check for the base image in the workspace
-        base_image = "lumberyard_gsi.png"
+        base_image = "image_grad_test_gsi.png"
        base_image_path = os.path.join("AutomatedTesting", "Assets", "ImageGradients", base_image)
        if os.path.isfile(base_image_path):
            print(f"{base_image} was found in the workspace")

        # Next, assign the processed image to the Image Gradient's Image Asset property
-        processed_image_path = os.path.join("Assets", "ImageGradients", "lumberyard_gsi.gradimage")
+        processed_image_path = os.path.join("Assets", "ImageGradients", "image_grad_test_gsi.gradimage")
        asset_id = asset.AssetCatalogRequestBus(bus.Broadcast, "GetAssetIdByPath", processed_image_path, math.Uuid(),
                                                False)
        hydra.get_set_test(image_gradient_entity, 0, "Configuration|Image Asset", asset_id)
@@ -57,7 +57,7 @@ class TestImageGradientRequiresShape(object):
            "Entity has a Image Gradient component",
            "Entity has a Gradient Transform Modifier component",
            "Entity has a Box Shape component",
-            "lumberyard_gsi.png was found in the workspace",
+            "image_grad_test_gsi.png was found in the workspace",
            "Entity Configuration|Image Asset: SUCCESS",
            "ImageGradient_ProcessedImageAssignedSucessfully:  result=SUCCESS",
        ]