refs https://github.com/TryGhost/Toolbox/issues/430
- Not having any extra logic in the mapper will allow to have a generalized "mapping" concept for CSV input serialization
- This is groundwork for stricter header value filtering on the parsing stage
no issue
- When items are parsed from CSV empty values were interpreted as empty strings - ''. Empty strings are always transformed into 'null' values in Ghost's model layer and are much more problematic to validate comparing to plain `null`. Specifically validation was imossible for 'format: date-time' with JSON schema validation through ajv when the value of date property was an empty string
- This behavior resemples one present in Ghost's model layer - 95880dddeb
- When testing performance overhead for this change did not spot any statistically significant change in performance (tested set was 50K rows)
no issue
- When processing CSV files `parse` function now allows for the client to specify "mapping" parameter in format of a hash as follows:
{ destination_property_name: 'source_column_name'}
e.g.:
{
name: 'weird_name_column',
email: 'email_column'
}
- It is done so to allow for the end user to provide exact mapping of the fields to be transformed into JSON.
