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Variables: Import Data Sets… reads tab-separated files and files without a name column

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dataset.import read only commas between cells and refused a file whose
first header cell wasn't `name`. A value that didn't match its
variable's kind, and a repeated data set name, were reported with the
row's record number, which is not the file line after a blank line or a
quoted line break. A data set name over 255 characters gave no line.

- When the header row, read with tabs between cells, has a tab and no
  comma outside quotes, tabs separate the cells. A quoted cell may then
  hold tabs and commas.
- Without a `name` column every header cell is a variable, and the rows
  take the first free names Data Set 1, Data Set 2 and so on, as Capture
  Data Set and blank name cells do. A first header cell `name`, in any
  case, still holds the data set names.
- Value errors, a repeated data set name and a name over 255 characters
  give the file line the row starts on.
- The Variables panel's Import Data Sets… dialog also lists .tsv files.
- import_fuzz.rs imports random text, random bytes and mutated exports,
  comma- and tab-separated, into a document with bound text, visibility
  and graph variables, selects up to three of the imported data sets in
  turn, and exports every data set.

Docs: docs/mcp.md, docs/target-app-parity.md.
This commit is contained in:
dotCooCoo
2026-10-17 13:49:49 +07:00
committed by bflatastic
parent a285efda46
commit 5bdd9d539f
6 changed files with 219 additions and 35 deletions
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docs/mcp.md
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@@ -1083,7 +1083,10 @@ already walks Image Trace. Short agent entry points:
- Data sets: `dataset.list`, `dataset.new {name, values?}`, `dataset.set {name, values?}`, `dataset.rename`,
`dataset.delete`, `dataset.capture`, `dataset.update`, `dataset.select {name}`, `dataset.next` /
`dataset.prev` (each `dataset.select` / next / prev is one undo step over every bound object), `dataset.import {path|data|dataBase64|csv}` /
`dataset.export {path?}` (CSV: `name`, then one column per variable).
`dataset.export {path?}` (CSV: `name`, then one column per variable). `dataset.import` also reads tab-separated
files, and files whose first header cell isn't `name`: every header cell is then a variable, and the rows take the
first free names `Data Set 1`, `Data Set 2` and so on. An import error about a row's values or name gives the file
line the row starts on.
- Batch: `action.batch {commands, source?: folder|datasets, folder?, destination?: none|saveAndClose|folder,
destinationFolder?, overrideOpen?, overrideSave?, overrideExport?, includeSubdirs?, stopOnError?}` plays an
action on every file in a folder or every data set (the Actions panel menu's Batch…).