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Top 10 Examples of "json2csv in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'json2csv' 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.

const input = createReadStream('/path/to/input', { encoding: 'utf8' });
const output = createWriteStream('path/to/output', { encoding: 'utf8' });

asyncParser.fromInput(input).promise()
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

asyncParser.fromInput(input).toOutput(output);

// Test convenience method "parseAsync" with object input
parseAsync(data, opts)
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

// Test convenience method "parseAsync" with stream input
parseAsync(input, opts)
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

/********************
 * Internal Methods *
 ********************/
class ParserExt extends Parser {
    constructor() {
        super();
        // Parser methods
        obj = this.preprocessData({});
        obj = this.preprocessData({ str: '', num: 1, obj: {} });
        obj = this.preprocessData([]);
        s = this.processData([]);

        // JSON2CSVBase methods
.on('error', err => console.log(err));

asyncParser.input.push(data); // This data might come from an HTTP request, etc.
asyncParser.input.push(null); // Sending `null` to a stream signal that no more data is expected and ends it.

const input = createReadStream('/path/to/input', { encoding: 'utf8' });
const output = createWriteStream('path/to/output', { encoding: 'utf8' });

asyncParser.fromInput(input).promise()
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

asyncParser.fromInput(input).toOutput(output);

// Test convenience method "parseAsync" with object input
parseAsync(data, opts)
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

// Test convenience method "parseAsync" with stream input
parseAsync(input, opts)
    .then(csv => console.log(csv))
    .catch(err => console.error(err));

/********************
 * Internal Methods *
 ********************/
class ParserExt extends Parser {
    constructor() {
        super();
        // Parser methods
        obj = this.preprocessData({});
} catch (err) {
    console.error(err);
}

// Test convenience method "parse"
try {
    const csv = parse(data, opts);
    console.log(csv);
} catch (err) {
    console.error(err);
}

// Test for Asynchronous Parser
const transformOpts = { highWaterMark: 8192 };

const asyncParser = new AsyncParser(opts, transformOpts);

let csv = '';
asyncParser.processor
    .on('data', chunk => (csv += chunk.toString()))
    .on('end', () => console.log(csv))
    .on('error', err => console.error(err));

// Test for transform events
asyncParser.transform
    .on('header', header => console.log(header))
    .on('line', line => console.log(line))
    .on('error', err => console.log(err));

asyncParser.input.push(data); // This data might come from an HTTP request, etc.
asyncParser.input.push(null); // Sending `null` to a stream signal that no more data is expected and ends it.
num?: number;
    obj?: object;
}

/**************
 * Public API *
 **************/
parse({});
parse([]);
parse({}, {});

new Parser();
const parser: Parser = new Parser({});
s = parser.parse({ str: '', num: 1, obj: {} });
parser.parse([]);
const transform: Transform = new Transform({ quote: '' });
const nodeTransform: NodeTransform = transform;

// Tests using examples from Readme
interface Car {
    car: string;
    price: number;
}

const opts: json2csv.Options = {
    fields: [
        // Supports pathname -> pathvalue
        'simplepath', // equivalent to {value:'simplepath'}
        'path.to.value', // also equivalent to {value:'path.to.value'}

        // Supports label -> simple path
        {
file: reviewJsonFile,
  },
};

// review, company, or job
const typeArg = process.argv[2];

if (!["-c", "-j", "-r"].includes(typeArg)) {
  console.log(
    "One of '-c', '-j', or '-r' must be specified to indicate which file type to convert!"
  );
  process.exit(1);
}

const dictEntry = dict[typeArg];
const json2csvParser = new Parser({ fields: dictEntry.fields });
const jsonInput = dictEntry.file;

console.log("Parsing...");
const csvOutput = json2csvParser.parse(jsonInput);

console.log(`Outputting to ./migration/${dictEntry.key}.csv`);
fs.writeFileSync(`./migration/${dictEntry.key}.csv`, csvOutput, () => {});

console.log("Done migration!");
import * as React from "react"
import { Parser } from "json2csv"

const json2csv = new Parser()

export const downloadCSV = (csvName: string, data: any) => {
  const CSV = json2csv.parse(data)
  const blob = new Blob([CSV], { type: "text/csv" })

  const dlink = document.createElement("a")
  dlink.download = csvName ? `${csvName.replace(/ /g, "_")}.csv` : "vis.csv"
  dlink.href = window.URL.createObjectURL(blob)
  dlink.onclick = () => {
    // revokeObjectURL needs a delay to work properly
    const revokeFn = () => {
      window.URL.revokeObjectURL(dlink.href)
    }
    setTimeout(revokeFn, 1500)
  }
// Build rows.
    for (let i = 0; i < submissions.length; i++) {
        let submissionData = submissions[i].data;
        const row = {};
        Object.keys(fields).map(fieldId => {
            if (fieldId in submissionData) {
                row[fields[fieldId]] = submissionData[fieldId];
            } else {
                row[fields[fieldId]] = "N/A";
            }
        });
        rows.push(row);
    }

    // Save CSV file and return its URL to the client.
    const csv = await parseAsync(rows, { fields: Object.values(fields) });
    const buffer = Buffer.from(csv);
    const result = await uploadFile({
        context,
        buffer,
        file: {
            size: buffer.length,
            name: "form_submissions_export.csv",
            type: "text/csv"
        }
    });
    return new Response(result);
};
export const transform = (parserOpts = {}) => observable => {
  // XXX: the parser wants to add a newline to everything we push to it for
  // some reason. likely "user error"
  const parser = new AsyncParser(
    {...parserOpts, eol: '', flatten: true},
    {
      objectMode: true
    }
  );
  return observable.pipe(
    finalize(() => {
      parser.input.push(null);
    }),
    tap(row => {
      parser.input.push(row);
    }),
    concatMapTo(fromEvent(parser.processor, 'data')),
    takeUntil(fromEvent(parser.processor, 'end')),
    filter(Boolean),
    map(_.pipe(_.trim, stripAnsi))
test('JSON and CSV files are written and match with input data', (t) => {
  writeFile(notesStub, true, 'bar');

  const jsonFileContent = fs.readFileSync('bar.json', 'utf-8');
  t.deepEqual(JSON.parse(jsonFileContent), notesStub);

  t.notThrows(() => {
    fs.lstatSync('bar.csv');
  });

  const csvFileContent = fs.readFileSync('bar.csv', 'utf-8');
  t.is(csvFileContent, json2csv({ data: notesStub }));
});
handleExport(){
        let values =[];
        this.filteredInstances.forEach((instance)=>{
            values.push({item: instance.value, resourceNo: instance.total})
        })
        let csv = json2csv.parse(values, {fields: ['item', 'resourceNo']});
        //console.log(csv);
        let uriContent = 'data:text/csv;charset=utf-8,' + encodeURIComponent(csv);
        window.open(uriContent, 'dataF.csv');
    }
    checkItem(status, value) {

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