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You can leverage an existing tool that contanis both - module use /g/data/hh5/public/modules module load conda cchecker.py -t {cf,acdd} $filename
Note the CF requirement is stronger than ACDD for most purposes but ACDD is worth considering.
However, it requires that the file be written out to actually run the check rather than doing it in memory. We might have to reverse engineer it a bit to work on an in-memory dataset or write to a scratch space for testing purposes before completing a DRS run.
In order to verify the Conventions metadata in output files, we would need to integrate CF/ACDD compliance checks into the processing chain.
http://cfconventions.org/software.html
https://github.com/ioos/compliance-checker
No timeline at this stage, just a thought starter.
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