igiya
v0.0.43-alpha
Published
Suggestion engine
Downloads
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Readme
Igiya
igiya is a suggestion engine that use local storage. igiya is flexible and lightweight.
Installation
npm install igiya
Example
let Igiya = require('igiya');
IgiyaInstance = new Igiya();
//initialize igiya when page load
IgiyaInstance.initialize("http://example.come/data.json");
//trigger search
$(document).on("keyup", ".seach", function (e) {//using jquery
IgiyaInstance.search(function (data) {
console.log(data);
}, 'column_name', $(this).val());
});
json example
json array must be nested
[
{
"id": "217",
"value": null,
"lat": "44.016521",
"lng": "21.005859",
"name": "Serbia",
"description": null,
"type": "Place",
"is_stop": false,
"stop_type": true
},
{
"id": "221",
"value": null,
"lat": "-4.6728013",
"lng": "55.5185991",
"name": "Seychelles",
"description": null,
"type": "Place",
"is_stop": false,
"stop_type": true
},
]
API
initialize
initialize(url, param = [], store_name = 'igiya', refetch_limit = 10, refetch_keyword = 'q', data_merge_element = 'id', callback)
- url:
string
Json url - param:
object
url parameters ex: [type:'animals'] - store_name:
string
local storage variable name - refetch_limit:
integer
when to refetch, (for example ifrefetch_limit
is 10 and search result came with less than 10 result igiya will refetch from the server) - refetch_keyword:
string
refetch name (if you have putq
forrefetch_keyword
request be likehttp://example.come/data.json?q=sometext
- data_merge_element:
string
after re fetched igiya will recheck withdata_merge_element
with local storage and re fetched data and merge. - callback:
function
callback function
search
search(callback, attribute, keyword, matches = false, refetch = true)
- callback:
function
callback function - attribute:
string
search column name - keyword:
string
keyword to search - matches:
array
should match exact word in json array - refetch:
boolean
should refetch or not
Contributing
Thank for using (or visiting :D) igiya. This is my first open source package and I really really need contributions and I'm really appreciate it.