in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/tensorflowServing.js [191:234]
function csv_request(r) {
var data = r.requestText
// look for initial quote or numeric-only data in 1st field
var needs_quotes = data.search(/^\s*("|[\d.Ee+\-]+.*)/) != 0
var lines = data.trim().split(/\r?\n/)
var builder = []
builder.push('{"instances":[')
for (var i = 0; i < lines.length; i++) {
var line = lines[i].trim()
if (line) {
var line_builder = []
// Only wrap line in brackets if there are multiple columns.
// If there's only one column and it has a string with a comma,
// the input will be wrapped in an extra set of brackets.
var has_multiple_columns = line.search(',') != -1
if (has_multiple_columns) {
line_builder.push('[')
}
if (needs_quotes) {
line_builder.push('"')
line_builder.push(line.replace('"', '\\"').replace(',', '","'))
line_builder.push('"')
} else {
line_builder.push(line)
}
if (has_multiple_columns) {
line_builder.push(']')
}
var json_line = line_builder.join('')
builder.push(json_line)
if (i != lines.length - 1)
builder.push(',')
}
}
builder.push(']}')
tfs_json_request(r, builder.join(''))
}