Coerce boolean data to categorical annotations (SCP-5850) #368
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
BACKGROUND & CHANGES
This fixes an issue in AnnData metadata extraction where columns with boolean data fail to extract and cause entire ingest runs to fail. This is due to an underlying bug with the
is_numeric_dtype()method in Pandas that returnsTruefor boolean data. Now, ingest will specifically check for a boolean column first and coerce that to a group-based annotation, storing T/F values as strings instead of native booleans. The rest of the type-checking logic is unchanged.MANUAL TESTING
is_primary_datacolumn listed at the end ofobs:h5ad_frag.metadata.tsv.gzfile and confirm the entire last column is of typeGROUPand all the values areFalse