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after discussing with @robyngit, we determined that it would really be necessary to filter results from data quality runs by file. This isn't necessarily MVP for the data suite but I think it's close. The easiest way to do this I think would be to add a field to the result schema within run. This would allow us to continue to us the output field to give dataset-level results (eg: 8 files had congruent file types, 1 file was mistyped), in addition to file level results (eg: file.nc appears to be of type application/netcdf but is documented as application/octet-stream).
this is done on the feature-hashstore-support branch, awaiting review
see src/main/resources/schemas/schema1.1.xsd
also see edu.ucsb.nceas.mdqengine.dispatch.Dispatcher line 174 for how an array coming back from python checks is handled (warning: its a little ugly right now)
this is implemented in working, except that the id attribute seems to not be saved to the output for some reason. need to fix this before closing issue
after discussing with @robyngit, we determined that it would really be necessary to filter results from data quality runs by file. This isn't necessarily MVP for the data suite but I think it's close. The easiest way to do this I think would be to add a field to the
result
schema withinrun
. This would allow us to continue to us theoutput
field to give dataset-level results (eg: 8 files had congruent file types, 1 file was mistyped), in addition to file level results (eg: file.nc appears to be of type application/netcdf but is documented as application/octet-stream).proposed new schema for result could look something like this (though I'm very much not sold on "dataOutput" as the element name, it's a placeholder.
thoughts welcome @mbjones when you return
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