Top 5 Examples of "csv-parser in functional component" in JavaScript
Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'csv-parser' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
parse(input, output) {
this.logger.info('Starting conversion')
let rowIndex = 2
highland(input)
// Parse CSV return each row as object
.through(
csv({
separator: this.delimiter,
strict: true,
})
)
// Sort by SKU so later when reducing prices we can easily group by SKU
.sortBy((a, b) => a['variant-sku'].localeCompare(b['variant-sku']))
// Limit amount of rows to be handled at the same time
.batch(this.batchSize)
.stopOnError(err => {
this.logger.error(err)
output.emit('error', err)
})
.flatMap(highland)
// Unflatten object keys with a dot to nested values
.map(unflatten)
.map(this.transformPriceData)parse(input: stream$Readable, output: stream$Writable) {
this.logger.info('Starting conversion')
highland(input, output)
.through(
csv({
separator: this.delimiter,
strict: true,
})
)
.map(CsvParserDiscountCode._removeEmptyFields)
.map(unflatten)
.map(this._cartDiscountsToArray)
.map(this._groupsToArray)
.map(castTypes)
.errors(this._handleErrors) // <- Pass errors to errorHandler
.stopOnError((error: HttpErrorType) => {
// <- Emit error and close stream if needed
output.emit('error', error)
})
.doto(() => {
this._rowIndex += 1return new Promise((resolve, reject) => {
if (input === undefined) resolve({})
else if (input.match(/\.json$/i))
resolve(JSON.parse(fs.readFileSync(input)))
else if (input.match(/\.csv$/i)) {
const _attributes = []
fs.createReadStream(input)
.pipe(
csv({
separator: _args.delimiter,
strict: true,
})
)
.on('error', error => {
reject(error)
})
.on('data', data => {
const arrayDelim = _args.multiValueDelimiter
// pass to `prepareInput` to handle object formatting
_attributes.push(prepareInput(data, arrayDelim))
})
.on('end', () => {
resolve(unflatten(_attributes[0]))
})
}_streamInput(input, output) {
let rowIndex = 1
return highland(input)
.through(
csv({
separator: this.csvConfig.delimiter,
strict: this.csvConfig.strictMode,
})
)
.stopOnError(err => {
this.logger.error(err)
return output.emit('error', err)
})
.batch(this.csvConfig.batchSize)
.doto(data => {
this.logger.verbose(`Parsed row-${rowIndex}: ${JSON.stringify(data)}`)
rowIndex += 1
})
.flatMap(highland)
.flatMap(data => data |> this._processData |> highland)
.stopOnError(err => {parse(input: stream$Readable, output: stream$Writable) {
this.logger.info('Starting conversion')
highland(input)
.through(csv({ separator: this.csvConfig.delimiter, strict: true }))
.map(CsvParserState._removeEmptyFields)
.map(CsvParserState._parseInitialToBoolean)
.map(unflatten)
.map((state: StateWithStringTransitions): StateWithStringTransitions =>
CsvParserState._mapMultiValueFieldsToArray(
state,
this.csvConfig.multiValueDelimiter
)
)
.flatMap(
(
state: StateWithUnresolvedTransitions
): StateWithUnresolvedTransitions =>
highland(this._transformTransitions(state))
)
.errors((error: HttpErrorType, cb: Function): void =>