@appbaseio/autocomplete-suggestions-plugin
v1.1.1-alpha
Published
A suggestions plugin for autocomplete-js, backed by appbase client.
Downloads
74
Keywords
Readme
@appbaseio/autocomplete-suggestions-plugin
The @appbaseio/autocomplete-suggestions-plugin
is a Suggestions plugin that adds Query Suggestions powered by appbase-js client, to your autocomplete.
Installation
yarn add @appbaseio/autocomplete-suggestions-plugin
# or
npm install @appbaseio/autocomplete-suggestions-plugin
Usage
To get started, you need a container for your autocomplete to go in. If you don't have one already, you can insert one into your markup:
<div id="autocomplete"></div>
Then, insert your autocomplete into it by calling the autocomplete
function and providing the container
. It can be a CSS selector or an Element.
Import the @appbaseio/autocomplete-suggestions-plugin plugin utility and create a suggestions plugin by passing appbase-js client config and the query config to fetch suggestions. Additionally, you can pass the third argument for UI customisation.
As a final step, pass this plugin to the plugins
property while calling autocomplete
function.
Make sure to provide a container (e.g., a div
), not an input
. Autocomplete generates a fully accessible search box for you.
import { autocomplete } from '@algolia/autocomplete-js';
import createSuggestionsPlugin from "@appbaseio/autocomplete-suggestions-plugin";
// appbase client config object
const appbaseClientConfig = {
url: "https://appbase-demo-ansible-abxiydt-arc.searchbase.io",
app: "best-buy-dataset",
credentials: "b8917d239a52:82a2f609-6439-4253-a542-3697f5545947",
};
// reactivesearch api configuration
const rsApiConfig = {
enableRecentSuggestions: true,
enablePopularSuggestions: true,
recentSuggestionsConfig: {
size: 5,
minChars: 5,
},
popularSuggestionsConfig: {
size: 5,
showGlobal: true,
},
size: 5,
};
const suggestionsPlugin = createSuggestionsPlugin(appbaseClientConfig, {
...rsApiConfig,
});
autocomplete({
container: '#autocomplete',
plugins: [suggestionsPlugin],
// ...
});
Click here to checkout the advanced example to see all properties in action.
Documentation
appbaseClientConfig
Object
Required
It is the first parameter accepted by
createSuggestionsPlugin()
, used for connecting to the appbase client. It accepts the following properties:url
String
Required
app
String
Required
name of the index as displayed in the dashboardusername
String
username as displayed in the access control dashboardpassword
String
password as displayed in the access control dashboardcredentials
String
Required
API key to access the cluster.credentials
are not required if,url
already contains it.enableTelemetry
Boolean
when set tofalse
, it disables telemetry. Defaults totrue
.settings
Object
an object consisting of the properties to control your search experience. Read more here.
queryConfig
Object
Required
It is an object representing a ReactiveSearch query. Read about the properties accepted in this object here.
renderConfig
Object
Although the plugin already comes with a default UI interface, One can customize the UI/ UX according to their needs using the renderConfig object**.**
It accepts the following properties:
renderItem
Function
It is a callback that accepts parameters, one of them is the suggestion item itself, utilize it to render a custom UI for every suggestion.
createSuggestionsPlugin( ..., ..., { renderItem: (props) => { const { item, setQuery, refresh } = props; if (item.type === "index") { return ( <a className="aa-item product-item" href={item._source.url} target="_blank" rel="noreferrer" > <div className="product-image"> <img src={item._source.image} alt={item.value} /> </div> <div className="product-details"> <h4>{item.value}</h4> <p>{item._source.shortDescription}</p> </div> </a> ); } }, } )
onItemSelect
Function
It is a callback that accepts parameters(algolia control params), one of them is the
setQuery
function, utilize it to customize the behavior of what happens when an individual suggestion item is clicked.createSuggestionsPlugin( ..., ..., { renderItem: (props) => { ... }, onItemSelect: (props) => { const { item: { url, label }, setQuery, refresh } = props; if (url) { setQuery(label); window.open(url); } else { setQuery(label); refresh(); } }, } )
renderHeader
Function
It is a callback that accepts parameters(algolia params), one may utilize it to render a custom header before the suggestions.
createSuggestionsPlugin( ..., ..., { renderItem: (props) => { ... }, onItemSelect: (props) => { ... }, renderHeader: (props) => { return ( <h4> Products Listing <hr style={{ borderColor: "#d7d5f5" }} /> </h4> ); }, } )
renderFooter
Function
It is a callback that accepts parameters(algolia params), one may utilize it to render a custom footer after the suggestions.
createSuggestionsPlugin( ..., ..., { renderItem: (props) => { ... }, onItemSelect: (props) => { ... }, renderHeader: (props) => { ... }, renderFooter: (props) => { return <hr style={{ borderColor: "#d7d5f5" }} />; }, } )
renderNoResults
Function
It is a callback that accepts parameters(algolia params), one may utilize it to render a custom UI when no results are found.
createSuggestionsPlugin( ..., ..., { renderItem: (props) => { ... }, onItemSelect: (props) => { ... }, renderHeader: (props) => { ... }, renderFooter: (props) => { ... }, renderNoResults: (props) => { if (props.state.query === "") { return <p>Search for something to get direct product suggestions!</p>; } else { return <p>No products found! Try searching for something else!</p>; } } } )
useContextValue
Boolean
When set to true, the context value is set with the following value:{ total: ..., // total results found for the entered query time: ..., // total time taken to perform the search resultsJson: ... // the results that were found in json format }
One can use this context value to display results stats.
createSuggestionsPlugin( ..., ..., { renderItem: (props) => { ... }, onItemSelect: (props) => { ... }, renderHeader: (props) => { ... }, renderFooter: (props) => { ... }, renderNoResults: (props) => { if (props.state.query === "") { return <p>Search for something to get direct product suggestions!</p>; } else { return <p>No products found! Try searching for something else!</p>; } }, useContextValue: true } )