numsy

# _Numsy_ - _A light-weight number processor_ [](https://www.npmjs.com/package/@numsy/numsy) [](https://www.npmjs.com/package/@numsy/numsy) [](https://opensource.org/licenses/MIT) [](https://www.typescriptlang.org/) [](https://nodejs.org) [](https://github.com/shreesharma07/numsy/actions/workflows/main.yml) [](https://github.com/shreesharma07/numsy/actions/workflows/security.yml) [](https://codecov.io/gh/shreesharma07/numsy) [](https://snyk.io/test/github/shreesharma07/numsy) [](https://github.com/shreesharma07/numsy/graphs/commit-activity) [](http://makeapullrequest.com) [](https://github.com/prettier/prettier) [](https://pnpm.io/) [](https://github.com/shreesharma07/numsy/stargazers) [](https://github.com/shreesharma07/numsy/network/members)

Numsy is a light-weight TypeScript library for Indian phone number validation, sanitization, and CSV/Excel file processing. Built with class-based architecture, comprehensive error handling, and extensive logging capabilities.*

✨ Features

• 🔢 Phone Number Validation - Validate Indian mobile numbers (10-digit starting with 6-9)
• 🧹 Smart Sanitization - Clean and normalize phone numbers from various formats
• 📊 File Processing - Parse CSV and Excel files with automatic phone column detection
• 🔍 Multiple Number Extraction - Extract multiple phone numbers from text
• 📝 Comprehensive Logging - Built-in logging with configurable log levels
• 🛡️ Error Handling - Try-catch blocks everywhere with custom error classes
• 🎯 TypeScript Support - Full type definitions included
• ⚡ Fast Compilation - Built with SWC for lightning-fast builds
• 🧪 Well Tested - Comprehensive test coverage
• 📦 Modular Architecture - Use individual components or the unified API
• 🎨 Class-Based Design - Modern, maintainable, and extensible
• 📚 Helper Functions - Extensive utility functions for common tasks

📦 Installation

npm install numsy

pnpm add numsy

yarn add numsy

🚀 Quick Start

Basic Usage

import Numsy from 'numsy';

const numsy = new Numsy();

// Validate a phone number
const result = numsy.validate('9876543210');
console.log(result);
// { original: '9876543210', sanitized: '9876543210', isValid: true }

// Check if valid
console.log(numsy.isValid('9876543210')); // true

// Sanitize number
console.log(numsy.sanitize('+91-987-654-3210')); // '9876543210'

// Format with country code
console.log(numsy.format('9876543210', true)); // '+919876543210'

Using Parser

import { Parser } from 'numsy';
// or
import parser from 'numsy/parser';

const parser = new Parser();

// Parse CSV file
const result = await parser.parseFile('./contacts.csv');
console.log(result.data);
console.log(result.totalRows);

Process Files

import Numsy from 'numsy';

const numsy = new Numsy();

// Process file with validation
const result = await numsy.processFile('./contacts.csv', './output');
console.log(`Processed ${result.totalRecords} records`);
console.log(`Valid: ${result.validRecords}, Invalid: ${result.invalidRecords}`);

🖥️ CLI Usage

Numsy includes a built-in server with a web interface for processing phone numbers without writing code.

Starting the Server

After installing the package:

# Using npx (recommended - no installation needed)
npx @numsy/numsy-serve

# Or install globally first
npm install -g @numsy/numsy
numsy-serve

# With custom options
npx @numsy/numsy-serve --port 3000
npx @numsy/numsy-serve --page
npx @numsy/numsy-serve -p 8080 --page

# Display help
npx @numsy/numsy-serve --help

For local development (in this repository):

# Using pnpm scripts
pnpm run serve

# Or using npm scripts
npm run serve

# Or directly with ts-node
npx ts-node src/cli/server.ts

# With options (requires -- separator)
pnpm run serve -- --port 3000
pnpm run serve -- --page

CLI Options

Option	Alias	Description	Default
--port <number>	-p	Specify port number (1024-65535)	3000
--page	-s, --serve	Serve the HTML utility page	false
--help	-h	Display help message	-

Environment Variables

You can also configure the server using environment variables:

# Set port via environment variable
PORT=3000 npx @numsy/numsy-serve

# Set environment mode
NODE_ENV=production npx @numsy/numsy-serve

Server Features

• ✅ Auto Port Detection - Automatically finds an available port if default is in use
• 🌐 CORS Enabled - Works with any frontend application
• 🔌 REST API - Access validation endpoints programmatically
• 💚 Health Check - Built-in health check endpoint
• 🎯 Global API Prefix - All endpoints under /api
• 🛡️ Graceful Shutdown - Handles SIGTERM and SIGINT signals

API Endpoints

Once the server is running, you can access:

• Health Check: http://localhost:3000/api/health
• API Base: http://localhost:3000/api
• Utility Page (with --page flag): http://localhost:3000

Example Server Output

╔═══════════════════════════════════════════════════════════════╗
║ ✅ Server Started Successfully ║
╚═══════════════════════════════════════════════════════════════╝

🚀 Server running on: http://localhost:3000
📡 API endpoint: http://localhost:3000/api
💚 Health check: http://localhost:3000/api/health
🌐 Utility page: http://localhost:3000

📝 Environment: development
⚡ Process ID: 12345

Press Ctrl+C to stop the server

💡 API Examples

Phone Validation

import Numsy from 'numsy';

const numsy = new Numsy();

// Single validation
const result = numsy.validate('9876543210');

// Batch validation
const numbers = ['9876543210', '8123456789', '1234567890'];
const results = numsy.validateBatch(numbers);

// Extract multiple numbers from text
const text = 'Contact me at 9876543210 or 8123456789';
const extracted = numsy.extractMultiple(text);
console.log(extracted.validNumbers); // ['9876543210', '8123456789']

File Operations

import Numsy from 'numsy';

const numsy = new Numsy();

// Parse file
const parsed = await numsy.parseFile('./data.csv');

// Process with validation
const result = await numsy.processFile('./data.csv', './output');

// Write to CSV
await numsy.writeCsv(data, './output/clean-data.csv');

Using Individual Components

import { Parser, PhoneValidator, FileProcessor } from 'numsy';

// Use Parser separately
const parser = new Parser({
  normalizeColumns: true,
  detectPhoneColumn: true,
});

// Use PhoneValidator separately
const validator = new PhoneValidator({
  enableLogging: false,
});

// Use FileProcessor separately
const processor = new FileProcessor({
  outputDir: './output',
});

🎯 Configuration Options

import Numsy from 'numsy';

const numsy = new Numsy({
  enableLogging: true, // Enable console logging
  logLevel: 'debug', // Log level: 'log' | 'error' | 'warn' | 'debug' | 'verbose'
  throwOnError: false, // Throw errors vs return error objects
});

// Update options at runtime
numsy.setOptions({ enableLogging: false });

📚 API Reference

Numsy Class

Main class providing unified API:

Methods

• validate(phone: string): PhoneValidationResult - Validate single phone number
• validateBatch(phones: string[]): PhoneValidationResult[] - Validate multiple numbers
• sanitize(phone: string): string - Clean phone number
• isValid(phone: string): boolean - Quick validation check
• format(phone: string, withCountryCode?: boolean): string - Format phone number
• extractMultiple(text: string): MultipleNumbersResult - Extract numbers from text
• parseFile(filePath: string): Promise<FileParseResult> - Parse CSV/Excel file
• processFile(filePath: string, outputDir?: string): Promise<ProcessingResult> - Process file with validation
• writeCsv(data: ParsedDataRow[], outputPath: string): Promise<void> - Write to CSV
• detectPhoneColumn(data: ParsedDataRow[]): string | null - Detect phone column

Parser Class

File parsing operations:

• parseFile(filePath: string): Promise<FileParseResult> - Parse file
• writeCsv(data, outputPath): Promise<void> - Write CSV
• writeProcessedFiles(validData, invalidData, validPath, invalidPath): Promise<void> - Write multiple files

PhoneValidator Class

Phone validation operations:

• validate(phone: string): PhoneValidationResult - Validate number
• validateBatch(phones: string[]): PhoneValidationResult[] - Batch validation
• sanitize(phone: string): string - Sanitize number
• isValid(phone: string): boolean - Check validity
• extractMultiple(text: string): MultipleNumbersResult - Extract numbers
• format(phone: string, withCountryCode?: boolean): string - Format number

Helper Functions

Pure utility functions:

import {
  sanitizePhoneNumber,
  validatePhoneNumber,
  extractPhoneNumbers,
  normalizeDataRows,
  detectPhoneColumn,
  isNonEmptyString,
  isValidNumber,
  LoggerHelper,
  AppError,
} from 'numsy';

🏗️ Architecture

Numsy follows a modern, class-based architecture:

src/
├── common/
│ ├── interfaces/ # TypeScript interfaces
│ ├── functions/ # Pure utility functions
│ └── helpers/ # Helper classes (Logger, Error, File, Validation)
├── core/
│ ├── Numsy.ts # Main class
│ ├── Parser.ts # File parser
│ ├── PhoneValidator.ts # Phone validator
│ └── FileProcessor.ts # File processor
└── index.ts # Package entry point

🔧 Development

Setup

# Install dependencies
pnpm install

# Build package
pnpm run build

# Run tests
pnpm test

# Development with auto-reload
pnpm run dev

# Start server (for web interface)
pnpm run start:dev

Scripts

• pnpm run build - Build with SWC (fast compilation)
• pnpm run build:nest - Build with Nest CLI
• pnpm run dev - Development mode with nodemon
• pnpm run test - Run tests
• pnpm run test:watch - Watch mode
• pnpm run test:cov - Coverage report
• pnpm run lint - Lint code
• pnpm run format - Format code

📖 Documentation

• Usage Examples - Comprehensive usage examples
• API Documentation - Complete API reference
• Quick Start Guide - Get started quickly
• Publishing Guide - NPM publishing guide

🧪 Testing

Numsy includes comprehensive test coverage:

# Run all tests
pnpm test

# Watch mode
pnpm test:watch

# Coverage report
pnpm test:cov

🛡️ Error Handling

Numsy provides comprehensive error handling:

import { Numsy, AppError } from 'numsy';

try {
  const numsy = new Numsy({ throwOnError: true });
  const result = await numsy.processFile('./data.csv');
} catch (error) {
  if (error instanceof AppError) {
    console.error(`Error [${error.code}]: ${error.message}`);
    console.error('Details:', error.details);
  }
}

📝 TypeScript Support

Full TypeScript support with complete type definitions:

import {
  Numsy,
  NumsyOptions,
  PhoneValidationResult,
  MultipleNumbersResult,
  ProcessingResult,
  FileParseResult,
  ParsedDataRow,
} from 'numsy';

const options: NumsyOptions = {
  enableLogging: true,
  logLevel: 'debug',
  throwOnError: false,
};

const numsy = new Numsy(options);
const result: PhoneValidationResult = numsy.validate('9876543210');

🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for details.

📄 License

MIT License - see LICENSE file for details.

👨‍💻 Author

Shri Kumar Sharma

🔗 Links

• NPM Package
• GitHub Repository
• Documentation
• Issue Tracker

🌟 Support

If you find this package helpful, please give it a star on GitHub!

📊 Stats

• Bundle Size: Optimized and tree-shakeable
• TypeScript: 100% TypeScript codebase
• Test Coverage: Comprehensive test suite
• Dependencies: Minimal and well-maintained

🚀 Optimizations

• ⚡ SWC Compilation - 20x faster than TypeScript compiler
• 🎯 Tree-Shakeable - Import only what you need
• 📦 Modular Design - Use individual components
• 🔧 Zero Config - Works out of the box
• 🛡️ Type Safe - Full TypeScript support

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👤 Contributors

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Made with ❤️ by Shri Kumar Sharma

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