Automatic model inference

[geoo89]

Models of sheets can now be automatically inferred if no explicit model is provided.

This is done exclusively by parsing the header row of a sheet. Headers can be annotated with types (basic types and list; dict and existing models are currently not supported). If no annotation is present, the column is assumed to be a string.

Examples of what the data in a column can represent:

• field: field is inferred to be a string
• field:int: field is inferred to be a int
• field:list: field is inferred to be a list
• field:List[int]: field is inferred to be a list of integers
• field.1: field is inferred to be a list, and this column contains its first entry
• field.1:int: field is inferred to be a list of integers, and this column contains its first entry
• field.subfield: field is inferred to be another model with one or multiple subfields, and this column contains values for the subfield subfield
• field.subfield:int: field is inferred to be another model with one or multiple subfields, and this column contains values for the subfield subfield which is inferred to be an integer
• field.1.subfield: field is inferred to be a list of another model with one or multiple subfields, and this column contains values for the subfield subfield of the first list entry

Intermediate models like in the last three examples are created automatically.

[geoo89]

Did pipeline run for crisis and confirmed that it yields the same outputs.