Workaround for iterative validation

dandi/tests/test_validate.py

@@ -82,7 +82,7 @@ def test_validate_bids_errors(bids_error_examples, dataset):
     # ideally make a list and erode etc.
 
     selected_dataset = os.path.join(bids_error_examples, dataset)
-    validation_result = validate_bids(selected_dataset, report=True)
+    validation_result = validate(selected_dataset)
     with open(os.path.join(selected_dataset, ".ERRORS.json")) as f:
         expected_errors = json.load(f)
     for i in validation_result:

dandi/validate.py

@@ -168,6 +168,18 @@ def validate(
         for df in find_dandi_files(
             p, dandiset_path=dandiset_path, allow_all=allow_any_path
         ):
+            # This is pretty awkward, as it turns out, if validation is called once on just the base
+            # files, the results are somehow cached, and subsequent validation attempts in the same
+            # BIDS dataset will just return the errors of the first run, which is to say, none.
+            if df.path in [
+                "dataset_description.json",
+                "README",
+                "README.md",
+                "README.txt",
+                "README.rst",
+            ]:
+                print("🤔🤔🤔🤔🤔")
+                continue
             yield from df.get_validation_errors(
                 schema_version=schema_version, devel_debug=devel_debug
             )