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Lupl/fix non correspondence disengage - #96
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The refactor introduces `dealiased_field_name` as variable name for referencing validation alias-sensitive fields (scalar type and list of scalar type fields) in the planner. Closes #94.
The `graphty` mapper essentially constructs or mediates a mapping between a model and a dataframe; i.e. it iterates over the model fields and compiles a lazy Polars query plan that modifies the dataframe in such a way that it's rows can be consumed by the Pydantic instance machinery. Now, for fields that do not have a (potentially de-aliased) correspondence in the data, the `graphty` planner should basically disengage (`continue`) and transfer responsibility to Pydantic. Also, if the model fields iteration does not yield any dataframe modification expressions, the planner should again transfer responsibility to Pydantic and forward the frame unchanged. This commit implements the above two changes; this eliminates a series of causes for `polars.ColumnNotFoundError` in the planner and also fixes the case described in #95. Closes #95.
This was referenced Oct 6, 2026
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Closes #94.
Closes #95 .