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Remove dupes from flatten schema #644

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Merged
VisLab merged 1 commit into from
Apr 3, 2023
Merged

Remove dupes from flatten schema #644

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25 changes: 16 additions & 9 deletions hed/tools/util/schema_util.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
import pandas as pd
from hed.schema.hed_schema_constants import HedSectionKey
from hed.schema.hed_schema_constants import HedSectionKey, HedKey


def flatten_schema(hed_schema, skip_non_tag=False):
Expand All @@ -9,23 +9,30 @@ def flatten_schema(hed_schema, skip_non_tag=False):
skip_non_tag (bool): Skips all sections except tag

"""
child, parent, desc = [], [], []
children, parents, descriptions = [], [], []
for section in hed_schema._sections.values():
if skip_non_tag and section.section_key != HedSectionKey.AllTags:
continue
for entry in section.all_entries:
if entry.has_attribute(HedKey.TakesValue):
continue
name = ""
parent = ""
desc = entry.description
if hasattr(entry, "_parent_tag"):
child.append(entry.short_tag_name)
name = entry.short_tag_name
if entry._parent_tag:
parent.append(entry._parent_tag.short_tag_name)
parent = entry._parent_tag.short_tag_name
else:
parent.append("")
parent = ""
else:
child.append(entry.name)
parent.append("")
name = entry.name
parent = ""

desc.append(entry.description)
parents.append(parent)
children.append(name)
descriptions.append(desc)

df = pd.DataFrame({"Child": child, "Parent": parent, "Description": desc})
df = pd.DataFrame({"Child": children, "Parent": parents, "Description": descriptions})

return df