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We need a pydantic dataclass to represent an SSVC selection from a DecisionTable object. A selection object requires at least one mapping row derived from a DecisionTable.mapping but could be any size between 1 and the full set of mappings in the DecisionTable (indicating no input information is available).
In order to keep this task constrained from getting too large, resolving this issue just requires creating the dataclass so we can represent the data. Creation of tools to take decision point value combinations as input and reduce a Decision Table to a selection can be handled in a future issue.
Note
There is already a prototype selection schema that is relevant, although we should not feel strictly bound by it in resolving this issue. Compatibility would be nice but is not required.
Context
Decision_Point_Value_Selection.schema.jsonusing Pydantic #735Description
We need a pydantic dataclass to represent an SSVC selection from a
DecisionTableobject. A selection object requires at least one mapping row derived from aDecisionTable.mappingbut could be any size between 1 and the full set of mappings in theDecisionTable(indicating no input information is available).In order to keep this task constrained from getting too large, resolving this issue just requires creating the dataclass so we can represent the data. Creation of tools to take decision point value combinations as input and reduce a Decision Table to a selection can be handled in a future issue.
Note
There is already a prototype selection schema that is relevant, although we should not feel strictly bound by it in resolving this issue. Compatibility would be nice but is not required.