It is build to map any csv to any other csv format. It comes with useful helper to fill columns with static files, or map even values

csv-static-mappings.json can contain field keys and values that are applied to every row in the product csv source file csv-field-mappings.json defines the field mappings from the source file to the defined destination file for the destination format

if a field is not defined here (which is present in the dataheader list below), it is automatically fetched from the 'csv-static-mappings.json'

The file 'csv-list-mappings.json' can be used to map list / dictionary values of the source fields. e.g. category in source file with IDs are mapped by defining the destination field key (category_id) in this file and adding an object as value and map key=source value=destination destination would be the destination category key

quick start:

make install
source env/bin/activate
python ./csv-mapper.py ./source/source_file.csv ./dist/destination_file.csv --imagepath="https://yourhost.com/images/" --imagefield="image"
~ deactivate

• needs to be improved an parametrized at many points
• add new layers to make current hardcoded data configurable
  • e.g. fields that are compiled with different parts of the source data
  • e.g. the automatic search for available images found by specified name pattern
• add more conditions for filters