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This feature will build off of #691 by adding functionality to match inferred parameter type names to fuzzy matches from the database and propose them as options to the user.
Use a standard string distance metric (e.g. levenstein) with a threshold to define a match. Any non-matching portion of the structure results in a non-match.
Guidance for matching structured types:
dict[str, Model] would go one layer deep for matching
dict[str, dict[str, Model]] would go two layers deep
Definition of Done
The typeNameProposal workflow is expanded to fuzzy match type names
New tests are added for this workflow
All tests pass
The feature is merged into dev
The text was updated successfully, but these errors were encountered:
This feature will build off of #691 by adding functionality to match inferred parameter type names to fuzzy matches from the database and propose them as options to the user.
Use a standard string distance metric (e.g. levenstein) with a threshold to define a match. Any non-matching portion of the structure results in a non-match.
Guidance for matching structured types:
Definition of Done
The text was updated successfully, but these errors were encountered: