diff --git a/tests/aignostics/platform/e2e_test.py b/tests/aignostics/platform/e2e_test.py index 634e85da0..26fea08ae 100644 --- a/tests/aignostics/platform/e2e_test.py +++ b/tests/aignostics/platform/e2e_test.py @@ -224,13 +224,6 @@ def _get_spots_payload_for_special(expires_seconds: int, count: int) -> list[pla "disease": "LUNG_CANCER", }, } - normalization_metadata = { - "checksum_base64_crc32c": SPOT_1_CRC32C, - "width_px": SPOT_1_WIDTH, - "height_px": SPOT_1_HEIGHT, - "resolution_mpp": SPOT_1_RESOLUTION_MPP, - "media_type": "image/tiff", - } return [ platform.InputItem( external_id=f"{SPOT_1_GS_URL}&spot_index={index}", @@ -240,11 +233,6 @@ def _get_spots_payload_for_special(expires_seconds: int, count: int) -> list[pla download_url=signed_url, metadata=wsi_metadata, ), - platform.InputArtifact( - name="normalization:wsi", - download_url=signed_url, - metadata=normalization_metadata, - ), ], ) for index in range(count) @@ -622,6 +610,7 @@ def test_platform_heta_app_submit() -> None: @pytest.mark.e2e @pytest.mark.stress_only @pytest.mark.long_running +@pytest.mark.skipif(SPECIAL_APPLICATION_ID is None, reason="Special application not configured for this environment") @pytest.mark.timeout(timeout=SPECIAL_APPLICATION_SUBMIT_AND_FIND_SUBMIT_TIMEOUT_SECONDS) def test_platform_special_app_submit() -> None: """Test application runs with the special application. @@ -690,6 +679,7 @@ def test_platform_special_app_submit() -> None: @pytest.mark.stress_only @pytest.mark.long_running @pytest.mark.scheduled_only +@pytest.mark.skipif(SPECIAL_APPLICATION_ID is None, reason="Special application not configured for this environment") @pytest.mark.timeout(timeout=SPECIAL_APPLICATION_FIND_AND_VALIDATE_TIMEOUT_SECONDS) def test_platform_special_app_find_and_validate() -> None: """Test application runs with the special application. diff --git a/tests/constants_test.py b/tests/constants_test.py index 91126febb..8318b7e7e 100644 --- a/tests/constants_test.py +++ b/tests/constants_test.py @@ -94,10 +94,10 @@ case "staging": TEST_APPLICATION_ID = "test-app" - TEST_APPLICATION_VERSION = "0.0.6" + TEST_APPLICATION_VERSION = "1.0.0" HETA_APPLICATION_ID = "he-tme" - HETA_APPLICATION_VERSION = "1.1.0" + HETA_APPLICATION_VERSION = "1.1.1" TEST_APPLICATION_VERSION_USE_LATEST_FALLBACK_SKIP = True PIPELINE_GPU_TYPE = "L4" @@ -108,8 +108,8 @@ PIPELINE_CPU_PROVISIONING_MODE = "SPOT" PIPELINE_NODE_ACQUISITION_TIMEOUT_MINUTES = 30 - SPECIAL_APPLICATION_ID = "test-app" - SPECIAL_APPLICATION_VERSION = "0.99.0" + SPECIAL_APPLICATION_ID = None + SPECIAL_APPLICATION_VERSION = None SPOT_0_EXPECTED_RESULT_FILES = [ ("tissue_qc_segmentation_map_image.tiff", 1642856, 10),