chore(tests): use None sentinel for SPECIAL_APPLICATION on staging

Simpler than a try/except guard: staging defines SPECIAL_APPLICATION_ID
and SPECIAL_APPLICATION_VERSION as None, the regular import works, and
the existing skipif(SPECIAL_APPLICATION_ID is None) handles the rest.

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>

Author: ari-nz

tests/aignostics/platform/e2e_test.py

@@ -36,6 +36,8 @@
     PIPELINE_GPU_TYPE,
     PIPELINE_MAX_GPUS_PER_SLIDE,
     PIPELINE_NODE_ACQUISITION_TIMEOUT_MINUTES,
+    SPECIAL_APPLICATION_ID,
+    SPECIAL_APPLICATION_VERSION,
     SPOT_0_CRC32C,
     SPOT_0_GS_URL,
     SPOT_0_HEIGHT,
@@ -60,12 +62,6 @@
     TEST_APPLICATION_VERSION,
 )
 
-try:
-    from tests.constants_test import SPECIAL_APPLICATION_ID, SPECIAL_APPLICATION_VERSION
-except ImportError:
-    SPECIAL_APPLICATION_ID = None  # type: ignore[assignment]
-    SPECIAL_APPLICATION_VERSION = None  # type: ignore[assignment]
-
 TEST_APPLICATION_SUBMIT_AND_WAIT_DEADLINE_SECONDS = 60 * 45  # 45 minutes
 TEST_APPLICATION_SUBMIT_AND_WAIT_DUE_DATE_SECONDS = 60 * 10  # 10 minutes
 TEST_APPLICATION_SUBMIT_AND_WAIT_TIMEOUT_SECONDS = (

tests/constants_test.py

@@ -108,6 +108,9 @@
         PIPELINE_CPU_PROVISIONING_MODE = "SPOT"
         PIPELINE_NODE_ACQUISITION_TIMEOUT_MINUTES = 30
 
+        SPECIAL_APPLICATION_ID = None
+        SPECIAL_APPLICATION_VERSION = None
+
         SPOT_0_EXPECTED_RESULT_FILES = [
             ("tissue_qc_segmentation_map_image.tiff", 1642856, 10),
             ("tissue_qc_geojson_polygons.json", 259955, 10),