Option `cast`

The cast option works at the field-level to alter its value. It is possible to transform the field's value or change its type.

Type: function
Optional
Default: undefined
Since: 2.2.0
Related: cast_date, info, on_record — see Available Options

The cast value is expected to be a function that receives context-rich information. The function has full control over a field.

Usage

The cast user function is called with 2 arguments: the field value and the context object. The user function may return the value as-is or any other value including null and undefined.

The test/option.cast.coffee test provides insights on how to use it and its supported functionalities. It returns the first column untouched, converts the second column to an integer and return a new string from the third column's value.

import assert from "node:assert";
import { parse } from "csv-parse/sync";

const data = `
  1,2,3
  4,5,6
`.trim();
const records = parse(data, {
  // The cast option exect a function which
  // is called with two arguments,
  // the parsed value and a context object
  cast: function (value, context) {
    // Index indicates the column position
    if (context.index === 0) {
      // Return the value untouched
      return value;
    } else if (context.index === 1) {
      // Convert the value to a string
      return parseInt(value);
    } else {
      // Return a different value
      return `Value is ${value}`
    }
  },
  trim: true,
});
assert.deepStrictEqual(records, [
  [ "1", 2, "Value is 3" ],
  [ "4", 5, "Value is 6" ],
]);

./packages/csv-parse/samples/option.cast.js

Context

The context object exposes the following properties:

column (number|string)
The column name if the columns options is defined, or the field position.
empty_lines (number)
Internal counter of empty lines encountered until this field.
header (boolean)
A boolean indicating if the provided value is a part of the header.
index (number)
The field position within the current record starting at 0.
invalid_field_length (number)
Number of records with a non uniform length when relax_column_count is true. It was named skipped_lines until version 3.
lines (number)
The number of lines which have been processed including the current line.
quoting (boolean)
A boolean indicating if the field was surrounded by quotes.
records (number)
The number of records which have been fully parsed. It was named count until version 3.

The context example uses the context to transform the first field into a date and replace the second field with the injected context:

import assert from 'node:assert';
import { parse } from 'csv-parse/sync';

const data = `
  2000-01-01,date1
  2050-11-27,date2
`.trim();
const records = parse(data, {
  // The cast option exect a function which 
  // is called with two arguments,
  // the parsed value and a context object
  cast: function(value, context){
    // You can return any value
    if(context.index === 0){
      // Such as a string
      return `${value}T05:00:00.000Z`;
    }else{
      // Or the `context` object literal
      return context;
    }
  },
  trim: true
});
assert.deepStrictEqual(records, [
  [ '2000-01-01T05:00:00.000Z', {
    bytes: 16, comment_lines: 0, empty_lines: 0, invalid_field_length: 0,
    lines: 1, records: 0, columns: false, error: undefined, header: false,
    index: 1, column: 1, quoting: false, raw: undefined
  } ],
  [ '2050-11-27T05:00:00.000Z', {
    bytes: 35, comment_lines: 0, empty_lines: 0, invalid_field_length: 0,
    lines: 2, records: 1, columns: false, error: undefined, header: false,
    index: 1, column: 1, quoting: false, raw: undefined
  } ]
]);

./packages/csv-parse/samples/option.cast.js

Using the `cast` and `columns` functions conjointly

The cast function is called for each and every field, whether it is considered a header or not. The columns function is called once the first record is created (if treated as a header). For this reason, cast is executed before columns.

To distinguish a header field from a data field in the cast function, use the context.header property from the second argument to the cast function:

import assert from 'node:assert';
import {parse} from 'csv-parse/sync';

assert.deepEqual(
  parse('a,b,c\n1,2,3\n4,5,6', {
    cast: (value, context) => {
      if(context.header) return value;
      if (context.column === 'B') return Number(value);
      return String(value);
    },
    columns: (header) => {
      return header.map((label) => label.toUpperCase());
    },
    trim: true,
  })
  , [
    { A: '1', B: 2, C: '3' },
    { A: '4', B: 5, C: '6' }
  ]);

./packages/csv-parse/samples/option.cast.js

Note, the above example can be rewritten to implement the columns transformation directly inside cast, by setting columns: true and by replacing if(context.header) return value; by if(context.header) return value.toUpperCase();:

import assert from 'node:assert';
import {parse} from 'csv-parse/sync';

assert.deepEqual(
  parse('a,b,c\n1,2,3\n4,5,6', {
    cast: (value, context) => {
      if(context.header) return value.toUpperCase();
      if (context.column === 'B') return Number(value);
      return String(value);
    },
    columns: true,
    trim: true,
  })
  , [
    { A: '1', B: 2, C: '3' },
    { A: '4', B: 5, C: '6' }
  ]);

./packages/csv-parse/samples/option.cast.js

Option cast

Usage

Context

Using the cast and columns functions conjointly

Option `cast`

Using the `cast` and `columns` functions conjointly