JSPM

  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 45
  • Score
    100M100P100Q57581F
  • License MIT

Uniquely identifiable codes for each food.

Package Exports

  • @ifct2017/codes
  • @ifct2017/codes/index.js

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 (@ifct2017/codes) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Uniquely identifiable codes for each food.
📦 Node.js, 📜 Files.

This is part of package ifct2017.
Online database: ifct2017.github.io.


const codes = require('@ifct2017/codes');
// codes(query)
// → 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() // → corpus (promise)
codes.sql([table], [options]) // → sql statements (promise)
codes.csv() // → path of csv file



ORG DOI

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.