Ensure translation maps are complete

[jacobthill]

As the DLME data manager I need to ensure that all normalized values are found in all translation maps. For example, when normalizing types, raw values from the data contributor are passed to the normalize_has_type macro which looks for these values in multiple has_type_from_* translation maps. If found, a normalized value is returned in place of the raw value. That normalized value is then passed to the normalize_edm_type macro which looks for a broader category value in the edm_type_from_has_type translation map. Finally, both normalized values are translated to Arabic using the has_type_ar_from_en and the edm_type_ar_from_en translation maps. It is okay if a raw value from a data contributor is not found in one of the has_type_from_* translation maps; we can't map every string a data contributor might give us. However, once we have a normalize cho_has_type value, we should always be able to translate it into Arabic, map it to a broader cho_edm_type value, and translate that cho_edm_type value. A similar pattern exists with the cho_language, cho_aat_material, cho_spatial_norm, and cho_temporal_norm

• [ ] the test should retrieve all values from all has_type_from_* translation maps and check that these values are present as keys in the has_type_ar_from_en and edm_type_from_has_type translation maps. If not, the transform process should stop and print to terminal the values that are missing from each translation map with the name of the translation map so they can be added.
• [ ] the test should also retrieve all values from the edm_type_from_has_type and check that these values are present as keys in the edm_type_ar_from_en translation map. If not, the transform process should stop and print to terminal the values that are missing from each translation map with the name of the translation map so they can be added.
• [ ] [WIP] additional tests should retrieve all values from the translation maps for cho_language, cho_aat_material, cho_spatial_norm, and cho_temporal_norm and check that these values are present as keys in their Arabic equivalents.

[aaron-collier]

@jacobthill I'm going to close this one simply to reopen an edited ticket. I don't want to lose your text here in case I miss something (or misunderstand something) but essentially, I'm just rewriting as an epic.