Option to parse CSV into array of objects keyed by the field name

[going-confetti]

Feature Description

Background

We are adding support for data files to k6 Studio (grafana/k6-studio#363) and we would like to discuss a feature request.

In short, the user will be able to import a data file (CSV/JSON array) and use values from this file in Parameterization rules (e.g. Pick random row from users.csv and replace id in the request with the value of user_id from that row). From the UX perspective, the file type won't matter much and the UI of the parameterization rule editor will look something like this:

What will be different is the actual file parsing code in the generated script. For CSVs, we plan on using k6/experimental/csv in the actual generated script, but the current return format of the parse function (array of string arrays) makes extraction of the specified value harder and means that we probably need different snippets for JSON and CSV.

What we're asking

Ideally, we'd like an option similar to header: true in papaparse:

id,name
1,hdb

const csvRecordsArr = await csv.parse(file, { delimiter: ',' }) // [['id', 'name'], ['1', 'hdb']]
const csvRecordsObj = await csv.parse(file, {delimiter: ',', header: true}) // [{ id: '1', name: 'hdb' }]

Suggested Solution (optional)

No response

Already existing or connected issues / PRs (optional)

grafana/k6-studio#363

[going-confetti]

@oleiade we had a brief discussion about this the other day

[oleiade]

Thanks for opening this @going-confetti 🙇🏻