[BUG] parseStream() does not work as expected when the is invalid rows

[ajay-psd]

Describe the bug
Parsing a CSV from s3 bucket data file containing an invalid row, parsing immediately stopped when the stream(data chunks ) contained an invalid row. the expected behavior is to continue parsing upon encountering an invalid-data

`"xxhTT5lwV","TRI60j0@abc.io","919582162103","62103"22","621","Samsung"

sample invalid data entry in the file

Parsing works with data files that do not have invalid data, But it fails with invalid data.

for handling invalid data it is not adhering to Options passed as
{ header: true, strictColumnHandling: true, discardUnmappedColumns: true}

Parsing or Formatting?

• Parsing

The code snippet that I have used.

const filename = 'uploads/FYAP6BA7/my_file-1738837410345-372923559.csv'; const bucket = 'test-app' var params = { Bucket: bucket, Key: filename };
const stream = s3.getObject(params).createReadStream()

csv.parseStream(stream, { header: true, strictColumnHandling: true, discardUnmappedColumns: true})
.on('error', error => console.error(error))
.on('data', row => console.log(JSON.stringify(row)))
.on('end', rowCount => console.log(rowCount}))
.on('data-invalid', row => console.log(JSON.stringify(row)}))

sample data in a s3 file
"name","email","sms","token","code","label"
"xxhTT5lwV","TRI60j0@abc.io","919582162103","62103"22","621","Samsung" "0ENexk5cj","aQSi871@abc.io","919194880301","621034"444","803","Testing" "NOG1TQ8Cz","1hJbCX2@abc.io","919619960375","621035555","603","Sony" "gcscciBK8","nhRMgx3@abc.io","919037631672","621036666","316","LG"

first and second row has invalid data with extra quote

Parsing works with data files that do not have invalid data, But it fails with invalid data.

Expected behavior
the expected behavior is to continue parsing upon encountering invalid data, as per the documentation invalid data should handled ina data-invalid event and parsing will continue.

Screenshots

Desktop (please complete the following information):

• OS: MacOS
• OS Version: Sequoia 15.2
• Node Version v22.12.0
• fast-csv version : "^5.0.0" and ^5.0.2

Is any anything I am doing wrong or missing something in the code?