Typesense Instantsearch适配器 轻松构建搜索界面
Typesense Instantsearch适配器是一个连接Instantsearch.js库和Typesense搜索服务器的工具,可快速构建丰富的搜索界面。适配器支持多种前端框架,如React、Vue和Angular等,便于集成各类搜索组件。通过简单配置即可实现分面搜索、地理搜索等高级功能,帮助开发者充分发挥Typesense的性能,打造流畅的搜索体验。
An adapter to use the awesome Instantsearch.js library with a Typesense Search Server, to build rich search interfaces.
[![NPM version][npm-image]][npm-url]
Here is an example of UI you can build with this adapater: songs-search.typesense.org
Note: If your search interface is built on a custom autocomplete component, or is based on @algolia/autocomplete-js, then you don't need this adapter to use it with Typesense, as typesense-js library already supports client-side fetching data from any async data sources. Read more here.
The good folks over at Algolia have built and open-sourced Instantsearch.js which is a collection of out-of-the-box components that you can use to build interactive search experiences swiftly.
With the adapter in this repository, you'll be able to use Instantsearch (and its React, Vue and Angular cousins) with data indexed in a Typesense search server.
If you haven't used Instantsearch before, we recommend going through their Getting Started guide here. Once you go through the guide, follow the instructions below to plug the Typesense adapter into Instantsearch.
Here's a guide on building a quick search interface with Typesense and InstantSearch.js: https://typesense.org/docs/0.20.0/guide/search-ui-components.html
Here's a demo starter app that shows you how to use the adapter: https://github.com/typesense/typesense-instantsearch-demo
$ npm install --save typesense-instantsearch-adapter @babel/runtime
or
$ yarn add typesense-instantsearch-adapter @babel/runtime
or, you can also directly include the adapter via a script tag in your HTML:
<script src="https://cdn.jsdelivr.net/npm/typesense-instantsearch-adapter@2/dist/typesense-instantsearch-adapter.min.js"></script> <!-- You might want to pin the version of the adapter used if you don't want to always receive the latest minor version -->
Since this is an adapter, it will not install the Instantsearch library automatically for you. You need to install one of the following in your application directly:
You'll find information on how to get started with each of the above libraries in their respective repos.
We'd also recommend checking out create-instantsearch-app to create your Search UI from a starter template.
import instantsearch from "instantsearch.js"; import { searchBox, hits } from "instantsearch.js/es/widgets"; import TypesenseInstantSearchAdapter from "typesense-instantsearch-adapter"; const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "abcd", // Be sure to use an API key that only allows search operations nodes: [ { host: "localhost", path: "", // Optional. Example: If you have your typesense mounted in localhost:8108/typesense, path should be equal to '/typesense' port: "8108", protocol: "http", }, ], cacheSearchResultsForSeconds: 2 * 60, // Cache search results from server. Defaults to 2 minutes. Set to 0 to disable caching. }, // The following parameters are directly passed to Typesense's search API endpoint. // So you can pass any parameters supported by the search endpoint below. // query_by is required. additionalSearchParameters: { query_by: "name,description,categories", }, }); const searchClient = typesenseInstantsearchAdapter.searchClient; const search = instantsearch({ searchClient, indexName: "products", }); search.addWidgets([ searchBox({ container: "#searchbox", }), hits({ container: "#hits", templates: { item: ` <div class="hit-name"> {{#helpers.highlight}}{ "attribute": "name" }{{/helpers.highlight}} </div> `, }, }), ]); search.start();
You can add any of the Instantsearch widgets here that are supported by the adapter.
You'll also find a working example in test/support/testground. To run it, run npm run testground
from the project root folder.
import React from "react"; import ReactDOM from "react-dom"; import { SearchBox } from "react-instantsearch-dom"; import TypesenseInstantSearchAdapter from "typesense-instantsearch-adapter"; const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "abcd", // Be sure to use an API key that only allows search operations nodes: [ { host: "localhost", port: "8108", path: "", // Optional. Example: If you have your typesense mounted in localhost:8108/typesense, path should be equal to '/typesense' protocol: "http", }, ], cacheSearchResultsForSeconds: 2 * 60, // Cache search results from server. Defaults to 2 minutes. Set to 0 to disable caching. }, // The following parameters are directly passed to Typesense's search API endpoint. // So you can pass any parameters supported by the search endpoint below. // query_by is required. additionalSearchParameters: { query_by: "name,description,categories", }, }); const searchClient = typesenseInstantsearchAdapter.searchClient; const App = () => ( <InstantSearch indexName="products" searchClient={searchClient}> <SearchBox /> <Hits /> </InstantSearch> );
You can then add any of the Instantsearch-React widgets here that are supported by the adapter.
The instructions above also apply to React Native.
App.vue:
<template> <ais-instant-search :search-client="searchClient" index-name="products"> <ais-search-box /> <ais-hits> <div slot="item" slot-scope="{ item }"> <h2>{{ item.name }}</h2> </div> </ais-hits> </ais-instant-search> </template> <script> import TypesenseInstantSearchAdapter from "typesense-instantsearch-adapter"; const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "abcd", // Be sure to use an API key that only allows search operations nodes: [ { host: "localhost", path: "", // Optional. Example: If you have your typesense mounted in localhost:8108/typesense, path should be equal to '/typesense' port: "8108", protocol: "http", }, ], cacheSearchResultsForSeconds: 2 * 60, // Cache search results from server. Defaults to 2 minutes. Set to 0 to disable caching. }, // The following parameters are directly passed to Typesense's search API endpoint. // So you can pass any parameters supported by the search endpoint below. // query_by is required. additionalSearchParameters: { query_by: "name,description,categories", }, }); const searchClient = typesenseInstantsearchAdapter.searchClient; export default { data() { return { searchClient, }; }, }; </script>
You can then add any of the Instantsearch widgets here that are supported by the adapter.
// app.component.ts import { Component } from "@angular/core"; import TypesenseInstantSearchAdapter from "typesense-instantsearch-adapter"; const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "abcd", // Be sure to use an API key that only allows search operations nodes: [ { host: "localhost", path: "", // Optional. Example: If you have your typesense mounted in localhost:8108/typesense, path should be equal to '/typesense' port: "8108", protocol: "http", }, ], cacheSearchResultsForSeconds: 2 * 60, // Cache search results from server. Defaults to 2 minutes. Set to 0 to disable caching. }, // The following parameters are directly passed to Typesense's search API endpoint. // So you can pass any parameters supported by the search endpoint below. // query_by is required. additionalSearchParameters: { query_by: "name,description,categories", }, }); const searchClient = typesenseInstantsearchAdapter.searchClient; @Component({ selector: "app-root", templateUrl: "./app.component.html", styleUrls: ["./app.component.css"], }) export class AppComponent { config = { indexName: "products", searchClient, }; }
You can then add any of the Instantsearch widgets here that are supported by the adapter.
hierarchicalMenu
For this widget, you want to create independent fields in the collection's schema with this specific naming convention:
field.lvl0
field.lvl1
field.lvl2
for a nested hierarchy of field.lvl0 > field.lvl1 > field.lvl2
Each of these fields can also hold an array of values. This is useful for handling multiple hierarchies.
sortBy
When instantiating this widget, you want to set the value of the index name to this particular format:
search.addWidgets([ sortBy({ container: "#sort-by", items: [ { label: "Default", value: "products" }, { label: "Price (asc)", value: "products/sort/price:asc" }, { label: "Price (desc)", value: "products/sort/price:desc" }, ], }), ]);
The generalized pattern for the value attribute is: <index_name>[/sort/<sort_by>]
. The adapter will use the value in <sort_by>
as the value for the sort_by
search parameter.
configure
If you need to specify a filter_by
search parameter for Typesense, you want to use the configure
InstantSearch widget, along with facetFilters
, numericFilters
or filters
.
The format for facetFilters
and numericFilters
is the same as Algolia's as described here.
But filters
needs to be in Typesense's filter_by
format as described in this table here.
Setting filter_by
inside the additionalQueryParameters
config only works when the widgets are loaded initially, because InstantSearch internally overrides the filter_by
field subsequently.
Read more here.
index
For Federated / Multi-Index Search, you'd need to use the index
widget. To then be able to specify different search parameters for each index/collection, you can specify them using the collectionSpecificSearchParameters
configuration:
const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "abcd", // Be sure to use an API key that only allows search operations nodes: [{ host: "localhost", path: "/", port: "8108", protocol: "http" }], }, // Search parameters that are common to all collections/indices go here: additionalSearchParameters: { numTypos: 3, }, // Search parameters that need to be *overridden* on a per-collection-basis go here: collectionSpecificSearchParameters: { products: { query_by: "name,description,categories", }, brands: { query_by: "name", }, }, }); const searchClient = typesenseInstantsearchAdapter.searchClient;
Essentially, any parameters set in collectionSpecificSearchParameters
will be merged with the values in additionalSearchParameters
when querying Typesense, effectively overriding values in additionalSearchParameters
on a per-collection-basis.
geoSearch
Algolia uses _geoloc
by default for the name of the field that stores the lat long values for a record.
In Typesense, you can name the geo location field anything. If you use a name other than _geoloc
, you need to specify it when initializing the adapter like below, so InstantSearch can access it:
const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "xyz", nodes: [ { host: "localhost", port: "8108", path: "/", protocol: "http", }, ], }, geoLocationField: "lat_lng_field", // <<====== additionalSearchParameters, });
dynamicWidgets
Available as of Typesense Server
v0.25.0.rc12
This dynamicWidgets
widget works out of the box with no additional changes,
but if you want to control the order in which these facets are displayed in the UI
Instantsearch expects a parameter called renderingContent
to be set.
const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "xyz", nodes: [ { host: "localhost", port: "8108", path: "/", protocol: "http", }, ], }, renderingContent: { // <<===== Add this, only if you want to control the order of the widgets displayed by dynamicWidgets facetOrdering: { facets: { order: ["size", "brand"], // <<===== Change this as needed }, }, }, additionalSearchParameters, });
Read more about all available options for renderingContent
in Algolia's documentation here.
Available as of typesense-instantsearch-adapter
2.7.0-2
If any string fields in your documents have a colon :
in their values (for eg, let's say there's a field called { brand: "a:b" }
, then you would need to add a parameter like below when instantiating the adapter:
const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey: "xyz", nodes: [ { host: "localhost", port: "8108", path: "/", protocol: "http", }, ], }, facetableFieldsWithSpecialCharacters: ["brand"], // <======= Add string fields that have colons in their values here, to aid in parsing additionalSearchParameters, });
If any numeric field names in your documents have special characters like >
, <
, =
(for eg, let's say there's a field called { price>discount: 3.0 }
) then you would need to add a parameter like below when instantiating the adapter:
const typesenseInstantsearchAdapter = new TypesenseInstantSearchAdapter({ server: { apiKey:
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