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data-transform-kit

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  • License MIT

A comprehensive TypeScript library for transforming data between APIs and frontend applications. Includes string, number, date, object, and array transformers with full TypeScript support.

Package Exports

  • data-transform-kit
  • data-transform-kit/dist/index.js
  • data-transform-kit/dist/index.mjs

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (data-transform-kit) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Data Transform Kit

A comprehensive TypeScript library for transforming data between APIs and frontend applications. Built with functional programming principles and powered by battle-tested libraries like Lodash and date-fns. Check out the docs and usage examples.

🚀 Features

  • 49 transformation functions across 5 categories
  • Full TypeScript support with comprehensive type definitions
  • Bidirectional adapters for API ↔ UI data transformation
  • Functional programming approach with composable transformers
  • Zero configuration - works out of the box
  • Tree-shakeable - only bundle what you use
  • Production-ready - built on Lodash and date-fns

📦 Installation

npm install data-transform-kit

🎯 Quick Start

import {
  capitalize,
  formatCurrency,
  formatDateHuman,
  pickFields,
  mapItems,
} from 'data-transform-kit';

// Transform API data to UI format
const user = {
  first_name: 'john',
  last_name: 'doe',
  salary: 75000,
  created_at: '2023-01-15T10:30:00Z',
};

const displayUser = {
  name: `${capitalize(user.first_name)} ${capitalize(user.last_name)}`,
  salary: formatCurrency()(user.salary), // "$75,000.00"
  joinedDate: formatDateHuman()(new Date(user.created_at)), // "January 15, 2023 10:30 AM PST"
};

📚 Categories & Functions

🔤 String Transformers

Transform and format text data:

import { capitalize, trim, slugify, truncate } from 'data-transform-kit';

capitalize('hello world'); // "Hello world"
trim('  spaced out  '); // "spaced out"
slugify('Hello World!'); // "hello-world"
truncate(10)('This is a very long string'); // "This is..."

Available functions: capitalize, trim, toUpperCase, toLowerCase, slugify, truncate

🔢 Number Transformers

Format numbers, currencies, and percentages:

import { formatCurrency, formatPercentage, toFixed } from 'data-transform-kit';

formatCurrency()(1234.56); // "$1,234.56"
formatCurrency('EUR')(1234.56); // "€1,234.56"
formatPercentage(2)(0.1234); // "12.34%"
toFixed(2)(3.14159); // "3.14"

Available functions: toFixed, parseInt, parseFloat, toInteger, formatCurrency, formatPercentage

📅 Date Transformers

Handle dates, timezones, and formatting:

import {
  formatDateHuman,
  formatRelative,
  addDays,
  formatTimestampLocal,
} from 'data-transform-kit';

const date = new Date('2023-12-25T10:30:00Z');

formatDateHuman()(date); // "December 25, 2023 10:30 AM PST"
formatRelative()(date); // "2 months ago"
addDays(5)(date); // Date 5 days later
formatTimestampLocal()(1703505000000); // Local timezone format

Available functions: formatDate, formatUSDate, formatEUDate, isoDateToLocal, formatDateHuman, formatRelative, addDays, subtractDays, toUnixTimestamp, fromUnixTimestamp, and more timezone utilities.

🏗️ Object Transformers

Manipulate and reshape objects:

import {
  pickFields,
  renameFields,
  keysToCamelCase,
  transformField,
} from 'data-transform-kit';

const apiUser = {
  id: 1,
  first_name: 'john',
  last_name: 'doe',
  email: 'john@example.com',
  created_at: '2023-01-15T10:30:00Z',
};

// Pick only needed fields
pickFields(['id', 'first_name', 'email'])(apiUser);

// Rename fields
renameFields({
  first_name: 'firstName',
  last_name: 'lastName',
})(apiUser);

// Convert to camelCase
keysToCamelCase()(apiUser);

// Transform specific field
transformField('first_name', capitalize)(apiUser);

Available functions: pickFields, omitFields, renameFields, flattenObject, mergeObjects, transformField, keysToCamelCase, keysToSnakeCase, deepClone

📋 Array Transformers

Process and transform arrays:

import {
  mapItems,
  filterItems,
  sortItems,
  groupBy,
  uniqueBy,
} from 'data-transform-kit';

const users = [
  { name: 'alice', age: 25, role: 'admin' },
  { name: 'bob', age: 30, role: 'user' },
  { name: 'charlie', age: 25, role: 'user' },
];

// Transform each item
mapItems((user) => ({ ...user, name: capitalize(user.name) }))(users);

// Filter items
filterItems((user) => user.role === 'admin')(users);

// Sort by property
sortItems((user) => user.age)(users);

// Group by property
groupBy((user) => user.role)(users); // { admin: [...], user: [...] }

// Remove duplicates by property
uniqueBy((user) => user.age)(users);

Available functions: mapItems, filterItems, sortItems, groupBy, uniqueBy, findItem, reduceItems

🔄 Bidirectional Adapters

Create adapters that transform data in both directions:

import {
  BidirectionalAdapter,
  capitalize,
  isoDateToLocal,
} from 'data-transform-kit';

interface ApiUser {
  id: string;
  first_name: string;
  created_at: string;
}

interface UiUser {
  id: string;
  displayName: string;
  joinedDate: Date;
}

const userAdapter: BidirectionalAdapter<ApiUser, UiUser> = {
  toUi: (apiUser) => ({
    id: apiUser.id,
    displayName: capitalize(apiUser.first_name),
    joinedDate: isoDateToLocal(apiUser.created_at),
  }),

  toApi: (uiUser) => ({
    id: uiUser.id,
    first_name: uiUser.displayName.toLowerCase(),
    created_at: uiUser.joinedDate.toISOString(),
  }),
};

// Use the adapter
const uiUser = userAdapter.toUi(apiResponse);
const apiPayload = userAdapter.toApi(formData);

🧩 Composition

All transformers are designed to be composable:

import {
  mapItems,
  transformField,
  capitalize,
  isoDateToLocal,
} from 'data-transform-kit';

// Compose transformers for complex operations
const transformUsers = mapItems(transformField('name', capitalize));

const transformPosts = mapItems(transformField('created_at', isoDateToLocal));

// Chain transformations
const processApiResponse = (data) => {
  return transformUsers(transformPosts(data));
};

🌍 Timezone Support

Built-in timezone handling for global applications:

import {
  formatDateHuman,
  formatTimestampLocal,
  getUserTimezone,
} from 'data-transform-kit';

// Automatic user timezone detection
const userTz = getUserTimezone(); // "America/Los_Angeles"

// Format in specific timezones
formatDateHuman('Europe/London')(date); // "December 25, 2023 6:30 PM GMT"
formatDateHuman('Asia/Tokyo')(date); // "December 26, 2023 3:30 AM JST"

// Format timestamps in user's local timezone
formatTimestampLocal()(timestamp); // Automatically uses user's timezone

🎨 TypeScript Support

Full type safety with intelligent inference:

import { Transformer, pickFields } from 'data-transform-kit';

// Create custom transformers with full type safety
const extractUserInfo: Transformer<ApiUser, UserSummary> = (user) => ({
  id: user.id,
  name: capitalize(user.first_name),
  isActive: user.status === 'active',
});

// Type-safe field picking
const picker = pickFields(['id', 'name']); // TypeScript knows the return type

🏗️ Advanced Usage

Custom Transformers

Create your own transformers following the same patterns:

import { Transformer } from 'data-transform-kit';

const addPrefix = (prefix: string): Transformer<string, string> => {
  return (str: string) => `${prefix}${str}`;
};

const formatPhoneNumber: Transformer<string, string> = (phone) => {
  const cleaned = phone.replace(/\D/g, '');
  return `(${cleaned.slice(0, 3)}) ${cleaned.slice(3, 6)}-${cleaned.slice(6)}`;
};

Conditional Transformations

import { transformField } from 'data-transform-kit';

const conditionalTransform = <T>(
  condition: (value: T) => boolean,
  transformer: Transformer<T, T>
): Transformer<T, T> => {
  return (value: T) => (condition(value) ? transformer(value) : value);
};

📄 License

MIT © [Cristina Lester]

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🐛 Issues

Found a bug? Please create an issue.