@ifct2017/codes
Advanced tools
+1
-1
| { | ||
| "name": "@ifct2017/codes", | ||
| "version": "2.0.2", | ||
| "version": "2.0.3", | ||
| "description": "Uniquely identifiable codes for each food.", | ||
@@ -5,0 +5,0 @@ "main": "index.js", |
+19
-10
| Uniquely identifiable [codes] for each food. | ||
| > This is part of package [ifct2017].<br> | ||
| > Source: [Indian Food Composition Tables 2017]. | ||
| > Online database: [ifct2017.github.io]. | ||
| <br> | ||
| ```javascript | ||
| const codes = require('@ifct2017/codes'); | ||
| // codes.corpus: Map {name => {name, code}} | ||
| // codes.load(): Promise (corpus loaded) | ||
| // codes.sql([table], [options]): Promise (sql commands) | ||
| // codes.csv(): path to csv file | ||
| // codes(<query>) | ||
| // -> [{name, code}] for matched food names | ||
| // codes(query) | ||
| // → matches [{name, code}] | ||
| await codes.load(); | ||
| /* load corpus first */ | ||
| /// Load corpus first | ||
@@ -29,5 +28,15 @@ codes('mango green'); | ||
| ```javascript | ||
| // Additional methods: | ||
| codes.load() // → corpus (promise) | ||
| codes.sql([table], [options]) // → sql statements (promise) | ||
| codes.csv() // → path of csv file | ||
| ``` | ||
| [](https://www.npmjs.com/package/ifct2017) | ||
| > You can ask about composition of 528 key foods in India here: [ifct2017.github.io].<br> | ||
| <br> | ||
| <br> | ||
| [](http://ifct2017.com/) | ||
| > Data was obtained from the book [Indian Food Composition Tables 2017].<br> | ||
| > Food composition values were measured by [National Institute of Nutrition, Hyderabad].<br> | ||
@@ -34,0 +43,0 @@ > Take a peek at the raw data here: [Document], [Webpage]. |
51
21.43%83363
-0.06%