Auto-detect dataset directory name from extracted archive

Instead of hardcoding DATASET_ID as the expected subdirectory name,
find the single directory inside the extracted archive. Errors if
there is not exactly one directory.

https://claude.ai/code/session_01X3Dg23mnjFYU1fjJBrahjt

Author: claude

tests/symmetry/make_artifacts/dataset/test_download_ingested.py

@@ -88,9 +88,13 @@ def test_download_ingested_artifacts(self):
         for dot_underscore in artifact_dir.rglob("._*"):
             dot_underscore.unlink()
 
-        # The extracted directory is the dataset
-        dataset_path = artifact_dir / DATASET_ID
-        assert dataset_path.is_dir(), f"Expected extracted directory {DATASET_ID} not found."
+        # The extracted directory is the dataset (name may differ from the archive)
+        subdirs = [p for p in artifact_dir.iterdir() if p.is_dir()]
+        assert len(subdirs) == 1, (
+            f"Expected exactly one directory inside the archive, found {len(subdirs)}: "
+            f"{[p.name for p in subdirs]}"
+        )
+        dataset_path = subdirs[0]
 
         # Open the dataset
         dataset = Dataset(dataset_path)

tests/symmetry/read_artifacts/dataset/test_download_ingested.py

@@ -24,7 +24,6 @@
 from ndi.util import compareSessionSummary, sessionSummary
 from tests.symmetry.conftest import SOURCE_TYPES, SYMMETRY_BASE
 
-DATASET_ID = "69a8705aa9ab25373cdc6563"
 
 
 @pytest.fixture(params=SOURCE_TYPES)
@@ -57,11 +56,17 @@ def _open_dataset(self, source_type):
         if not summary_path.exists():
             pytest.skip(f"datasetSummary.json not found in {source_type} artifact directory.")
 
-        dataset_path = artifact_dir / DATASET_ID
-        if not dataset_path.exists():
+        # Find the single dataset subdirectory (name may differ from archive)
+        subdirs = [
+            p for p in artifact_dir.iterdir()
+            if p.is_dir() and p.name != "jsonDocuments"
+        ]
+        if len(subdirs) != 1:
             pytest.skip(
-                f"Expected dataset directory {DATASET_ID} not found in {source_type} artifacts."
+                f"Expected exactly one dataset directory in {source_type} artifacts, "
+                f"found {len(subdirs)}."
             )
+        dataset_path = subdirs[0]
 
         expected = json.loads(summary_path.read_text(encoding="utf-8"))
         dataset = Dataset(dataset_path)