Use case

All tickets below represents the requests that we have received. It does not yet depict what will be done. Additionnally, some ideas are being investigated internally. Once the scope of the rework of CSV mappers will be clear, more details will be added regarding functionalities tackled/not tackled, solution taken.

Tackled in phase 1:

• duplicate CSV mappers & CSV feeds: Duplicate CSV feed ingesters and mappers #6279
• Ability to ingest CSV files where each lines can correspond to different objects CSV column mapping when a column can have different representations #4505 & Ability to ingest CSV files where each lines can correspond to different objects #4935
• Ability to import entities that are present in multiple rows with various data for the same attribute CSV mapper: Ability to import entities that are present in multiple rows with various data for the same attribute  #8403
• map label in a CSV mapper without the need of specifying a colour: Ability to map a Label as a column (generate a random color and stop representation) #8317
• map alias in CSV mappers: Map alias in CSV mappers #6848
• map representations in CSV mapper without needing to provide values that makes no sens (order): Ability to set a default value for all representations (kill chain phase & marking definitin without order) #8318

Tackled in a V2:

• remove participant & assignee from csv mapper Removing Assignee and participant attribute from CSV Mapper #6345
• group data contained in a CSV in a CSV mapper: Ability to group the data imported by a CSV mapper into a container #5381

Tackled later:

• Improve CSV mapper for IOCs #6270
• [CSV Mapper] Add ability to ingest multiple types of objects and associated relationships in one file #7402
• Improve CSV parser to stream file to handle very large volume of data #7589
• Being able to import copy/pasted tables by considering them as csv #4225
• CSV mapper Ability to define default values for any field #8128
• Import / export CSV mappers #8051