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Is your feature request related to a specific problem?
Currently in fidesctl, the human-readable column names for a data map are defined in a constant. This seems to be misaligned with the rest of our codebase which relies heavily on pydantic models to define and maintain structure and attribution (i.e. descriptions) of data across the fides ecosystem.
Describe the solution you'd like
Add human-readable values, utilizing the alias attribute, to be used by other fides products.
Describe alternatives you've considered, if any
The use case that inspires this issue built a constant (dict) with Pandas DataFrame columns mapped to a human-readable equivalent, which is currently passed as the first set of records to a data map item. See fidesctl#779
Additional context
This could yet be challenging due to some required separation when using a DataFrame to join resources to construct data map items.
The text was updated successfully, but these errors were encountered:
From fideslang created by SteveDMurphy: IABTechLab#57
Is your feature request related to a specific problem?
Currently in
fidesctl
, the human-readable column names for a data map are defined in a constant. This seems to be misaligned with the rest of our codebase which relies heavily on pydantic models to define and maintain structure and attribution (i.e. descriptions) of data across the fides ecosystem.Describe the solution you'd like
Add human-readable values, utilizing the
alias
attribute, to be used by other fides products.Describe alternatives you've considered, if any
The use case that inspires this issue built a constant (dict) with Pandas DataFrame columns mapped to a human-readable equivalent, which is currently passed as the first set of records to a data map item. See fidesctl#779
Additional context
This could yet be challenging due to some required separation when using a DataFrame to join resources to construct data map items.
The text was updated successfully, but these errors were encountered: