Files
smart-city-digital-twin-mar…/smart-app-city/frontend/node_modules/toidentifier
Eric FELIXINE e30ae8ed09 feat(smart-app): implement complete mobile app MVP
- App.tsx: full navigation (Auth stack + Main tabs with 5 screens)
- Auth: LoginScreen, RegisterScreen, ForgotPasswordScreen
- HomeScreen: dashboard with IoT metrics, weather widget, alerts, quick actions, sensors
- MapScreen: interactive map with layer toggles (6 layers)
- MarketplaceScreen: categories (6), products (5), search
- ChatScreen: AI chat with quick prompts (4), bot responses
- ProfileScreen: user info, stats, menu (9 items), logout
- AlertsScreen: alert list with severity, acknowledge
- SensorsScreen: sensor list with type filters (6 types), search
- ZonesScreen: zone cards with stats
- SettingsScreen: language picker (FR/EN/ES/DE), privacy, about
- Stores: iotStore (sensors, zones, alerts), notificationStore, uiStore + i18n
- Hooks: useSensors, useAlerts, useNotifications, useLocation
- Components: Card, Button, LoadingSpinner, ErrorBoundary, Header
- Services: iotService, notificationService (with axios API client)
- Utils: formatters (temp, AQI, noise, dates), validators (email, password, IBAN)
- Theme: colors.ts with full design system (Blue Ocean palette)
- Ditto: fixed MongoDB connection, new JWT secrets, official gateway image
2026-06-01 18:00:35 -04:00
..

toidentifier

NPM Version NPM Downloads Build Status Test Coverage

Convert a string of words to a JavaScript identifier

Install

This is a Node.js module available through the npm registry. Installation is done using the npm install command:

$ npm install toidentifier

Example

var toIdentifier = require('toidentifier')

console.log(toIdentifier('Bad Request'))
// => "BadRequest"

API

This CommonJS module exports a single default function: toIdentifier.

toIdentifier(string)

Given a string as the argument, it will be transformed according to the following rules and the new string will be returned:

  1. Split into words separated by space characters (0x20).
  2. Upper case the first character of each word.
  3. Join the words together with no separator.
  4. Remove all non-word ([0-9a-z_]) characters.

License

MIT