# Context
- Partially related to https://digital.dclg.gov.uk/jira/browse/CLDC-2316
- Comprehending sales or lettings bulk upload CSV is enough, comprehending both simultaneously is rather challenging
# Changes
- Split out test helper class by log type ie lettings/sales
* refactor questions from validator to row parser
* able to switch between bulk upload parsers
- depending on what year we are processing
* spec tooling to support bulk upload multi year
* row parser now has year in namespacing
* add static data for 2023 row parser
* add placeholder to log to csv for specs
* bulk upload aribtrary 23/34 column ordering works
* bulk upload supports 23/24 without headers
* bulk upload 23/24 supports BOM + invalid chars
* dupe tests
* port 23/24 attributes_for_log
* port 23/24 bulk upload validations
* force crossover period
* tweak max permitted columns
* able to return column for given field
* work out column for field for errors
* add field_4 as 23/24 setup field
* remove duplicate method
* map schemes and locations correctly
* handle arbitrary number of header rows
* add missing fields to bulk upload support
* fix bulk upload age data types
* bulk upload handles both with and without headers
- headers are from the spreadsheet template
- otherwise assume cell A1 is start of the dataset