Tasks 16-20: Online Board Tests (Search/Filter, Tabs, Flight List, Details Modal, Time/Date) - Task 16: Search & Filter tests (37 tests) - departure/arrival cities, passenger count, cabin class - Task 17: Arrival/Departure Tabs tests (45 tests) - tab switching, flight display, sorting - Task 18: Flight List View tests (50 tests) - display, sorting, filtering, pagination, loading states - Task 19: Flight Details Modal tests (40 tests) - opening/closing, content display, actions - Task 20: Time & Date Filter tests (43 tests) - date selection, time ranges, calendar navigation Tasks 21-25: Flight Details Tests (Flight Info, Passengers, Seats, Services, Fares) - Task 21: Flight Info Display tests (40 tests) - basic info, airports, route visualization, timeline - Task 22: Passenger Info tests (50 tests) - passenger list, details, services, special requirements - Task 23: Seat Selection tests (50 tests) - seat map, selection, categories, recommendations - Task 24: Service Selection tests (25 tests) - baggage, meals, seats, summary - Task 25: Fare Display tests (55 tests) - fare breakdown, comparisons, discounts, refunds All tests follow AAA pattern and use data-testid selectors matching Angular version. Total: 245 tests across 10 feature suites.
chardet
Chardet is a character detection module written in pure JavaScript (TypeScript). Module uses occurrence analysis to determine the most probable encoding.
- Packed size is only 22 KB
- Works in all environments: Node / Browser / Native
- Works on all platforms: Linux / Mac / Windows
- No dependencies
- No native code / bindings
- 100% written in TypeScript
- Extensive code coverage
Installation
npm i chardet
Usage
To return the encoding with the highest confidence:
import chardet from 'chardet';
const encoding = chardet.detect(Buffer.from('hello there!'));
// or
const encoding = await chardet.detectFile('/path/to/file');
// or
const encoding = chardet.detectFileSync('/path/to/file');
To return the full list of possible encodings use analyse method.
import chardet from 'chardet';
chardet.analyse(Buffer.from('hello there!'));
Returned value is an array of objects sorted by confidence value in descending order
[
{ confidence: 90, name: 'UTF-8' },
{ confidence: 20, name: 'windows-1252', lang: 'fr' },
];
In browser, you can use Uint8Array instead of the Buffer:
import chardet from 'chardet';
chardet.analyse(new Uint8Array([0x68, 0x65, 0x6c, 0x6c, 0x6f]));
Working with large data sets
Sometimes, when data set is huge and you want to optimize performance (with a trade off of less accuracy), you can sample only the first N bytes of the buffer:
const encoding = await chardet.detectFile('/path/to/file', { sampleSize: 32 });
You can also specify where to begin reading from in the buffer:
const encoding = await chardet.detectFile('/path/to/file', {
sampleSize: 32,
offset: 128,
});
Working with strings
In both Node.js and browsers, all strings in memory are represented in UTF-16 encoding. This is a fundamental aspect of the JavaScript language specification. Therefore, you cannot use plain strings directly as input for chardet.analyse() or chardet.detect(). Instead, you need the original string data in the form of a Buffer or Uint8Array.
In other words, if you receive a piece of data over the network and want to detect its encoding, use the original data payload, not its string representation. By the time you convert data to a string, it will be in UTF-16 encoding.
Note on TextEncoder: By default, it returns a UTF-8 encoded buffer, which means the buffer will not be in the original encoding of the string.
Supported Encodings:
- UTF-8
- UTF-16 LE
- UTF-16 BE
- UTF-32 LE
- UTF-32 BE
- ISO-2022-JP
- ISO-2022-KR
- ISO-2022-CN
- Shift_JIS
- Big5
- EUC-JP
- EUC-KR
- GB18030
- ISO-8859-1
- ISO-8859-2
- ISO-8859-5
- ISO-8859-6
- ISO-8859-7
- ISO-8859-8
- ISO-8859-9
- windows-1250
- windows-1251
- windows-1252
- windows-1253
- windows-1254
- windows-1255
- windows-1256
- KOI8-R
Currently only these encodings are supported.
TypeScript?
Yes. Type definitions are included.
References
- ICU project http://site.icu-project.org/