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* create top-level base file * add note * update license header * move exportable config and move base to config module * update references in docs * do not include single column config in init * add inverse import order e2e test
8 lines
813 B
Markdown
8 lines
813 B
Markdown
# Column Configurations
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The `column_configs` module defines configuration objects for all Data Designer column types. Each configuration inherits from [SingleColumnConfig](#data_designer.config.base.SingleColumnConfig), which provides shared arguments like the column `name`, whether to `drop` the column after generation, and the `column_type`.
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!!! info "`column_type` is a discriminator field"
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The `column_type` argument is used to identify column types when deserializing the [Data Designer Config](data_designer_config.md) from JSON/YAML. It acts as the discriminator in a [discriminated union](https://docs.pydantic.dev/latest/concepts/unions/#discriminated-unions), allowing Pydantic to automatically determine which column configuration class to instantiate.
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::: data_designer.config.column_configs
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