Comments (2)
danielhuppmann
commented on July 3, 2024
1
I think that makes a lot of sense. Having optional data without constraints wouldn't have any effect, but it's probably better to keep the same structure between the required and optional rather than being perfectly "efficient".
Two other ideas/suggestions:
- Rename the class to
DataValidator(because it also has not-required components) - Rename the directory where such data-validation files are stored (and are tested as part of the nomenclature-validation) to
data_validation
[In parallel, the directory with MetaValidator yaml files could be renamed to meta_validation?]
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phackstock
commented on July 3, 2024
Ah yes, agreed with all of the proposed renamings.
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Related Issues (20)
- to_yaml does not indent lists HOT 1
- Variable codelists generated by nomenclature do not comply with json schema HOT 1
- Validate "countries" attribute against ISO3 codes HOT 2
- Get list of regions by hierarchy level HOT 2
- RegionProcessor.apply drops meta data HOT 2
- Is CodeList.name needed? HOT 1
- Default-attributes are exported to yaml HOT 2
- Filter CodeLists by any attribute HOT 4
- Pandas 2.0 breaks test_check_aggregate.expected_fail_return
- MetaCode brainstorming HOT 6
- Align Processor structure HOT 2
- Use different name for ISO3-code attribute
- Improve required data output
- pydantic 2.0 breaks nomenclature
- General options for a DataStructureDefinition HOT 3
- Enable using model mappings from external repository
- Implement MetaCodeList-validation using pandera
- Get relative path fails if file is not part of current working directory
- nomenclature install from GitHub fails exclude tests HOT 1
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from nomenclature.