ifct2017--codes
/
2.0.6
ifct2017--codes 2.0.6
Install from the command line:
Learn more about npm packages
$ npm install @ifct2017/ifct2017--codes@2.0.6
Install via package.json:
"@ifct2017/ifct2017--codes": "2.0.6"
About this version
Uniquely identifiable codes for each food.
π¦ Node.js,
π Files.
This is part of package ifct2017.
Online database: ifct2017.github.io.
const codes = require('@ifct2017/codes');
// codes(query)
// β matches [{name, code}]
await codes.load();
/// Load corpus first
codes('mango green');
codes('Raw mango');
// [ { name: 'Mango, green, raw (Common)', code: 'D057' } ]
codes('what is food code of atta?');
codes('atta code');
// [ { name: 'Atta (H., P.)', code: 'A019' },
// { name: 'Gahama atta (O.)', code: 'A019' },
// { name: 'Wheat flour, atta (Common)', code: 'A019' } ]
// Additional methods:
codes.load() // β corpus (promise)
codes.sql([table], [options]) // β sql statements (promise)
codes.csv() // β path of csv file
Data was obtained from the book Indian Food Composition Tables 2017.
Food composition values were measured by National Institute of Nutrition, Hyderabad.
Take a peek at the raw data here: Document, Webpage.