addsearch-js-client

    0.6.3 • Public • Published

    AddSearch Search API Client for JavaScript

    AddSearch is a Search-as-a-Service for all your search needs. This API Client lets you easily use the Search API and Indexing API with JavaScript.

    Quick Start

    The library is available on the global CDN jsDelivr:

    <script src="https://cdn.jsdelivr.net/npm/addsearch-js-client@0.5/dist/addsearch-js-client.min.js"></script>

    Or install the library locally to use it with Node.js:

    npm install addsearch-js-client --save

    After installation, add the library to your JS code

    var AddSearchClient = require('addsearch-js-client');

    Or use import in ES6

    import AddSearchClient from 'addsearch-js-client';

    Execute the first search query

    // Create client with your 32-character SITEKEY
    var client = new AddSearchClient('YOUR PUBLIC SITEKEY');
    
    // Callback function
    var cb = function(res) {
      // Print results to console
      console.log(res);
    }
    
    // Execute search. Callback function will be called with search results
    client.search('keyword', cb);

    Search API

    The client provides following functions to execute search queries. To use the client library for indexing, see Indexing API.

    Fetch search results

    // Search with a specific keyword
    client.search('keyword', callback);
    
    // Search with the previously used keyword or execute a "match all" query
    client.search(callback);
    
    // Search with the previously used keyword and callback (e.g. after modifying filters)
    client.search();

    Fetch search suggestions

    Search suggestions are keywords and search phrases that real users have used in your search. Configure Search suggestions on AddSearch Dashboard before using this function.

    // Get suggestions starting with a specific prefix
    client.suggestions('a', callback);

    Set the number of search suggestions to fetch

    // Number of search suggestions to fetch (default 10)
    client.setSuggestionsSize(20);

    Custom field autocompletion

    Custom fields autocomplete can be used for predictive search. For example, product names or categories can be suggested as the keyword is being typed in.

    // Fetch custom field values starting with a specific prefix In this example, fetch records 
    // starting with *a* from the *custom_fields.brand* field. Results could be "adidas, apple, azure"
    client.autocomplete('custom_fields.brand', 'a', callback);

    Set the number of custom field autocompletion results to fetch

    // Number of autocompletion results to fetch (default 10)
    client.setAutocompleteSize(20);

    Search with fuzzy matching

    Fuzzy matching is used for typo tolerance. There are four options:

    • false: No typo tolerance
    • true: Exact matches and fuzzy matches are equal
    • "auto": Exact matches first, followed by fuzzy matches
    • "retry": Show exact matches only. If none were found, show fuzzy matches
    // Control fuzzy matching used for typo-tolerance
    // Possible values true/false/"auto"/"retry" (default: "auto")
    client.setFuzzyMatch(false);  

    Search operator

    When a user searches with multiple keywords, we return only documents that contain all the terms which means applying the logical operator AND for the query. It is possible to choose which logical operator to use for fuzzy results when the fuzzy parameter is set to auto. There are two options:

    • "or": makes fuzzy results broader and includes partial matches of a few search terms
    • "and": makes fuzzy results stricter and includes only mistyped search terms
    // Possible values "and"/"or" (default: "or")
    client.setSearchOperator('and');  

    Postfix wildcard

    Enable or disable postfix wildcard. I.e. should keyword "add" match to "addsearch" or should it just match to the term add

    // Possible values true/false (default: true)
    client.setPostfixWildcard(false);  

    Set enableLogicalOperators

    // (default: false)
    // enableLogicalOperators(true) = Support user specified logical operators (and/or/not) in the search query like "cat and dog"
    // enableLogicalOperators(false) = Treat logical operators in the search query as literal strings
    client.enableLogicalOperators(true);

    Set cacheResponseTime

    Caching the response, define the time-to-live of the cache.

    // Specify time-to-live value in seconds
    client.setCacheResponseTime(3600);  

    Pagination

    Set page number, page size and sorting parameters. It's possible to order results by:

    • relevance (descending)
    • date (ascending or descending)
    • custom field value (ascending or descending. E.g. custom_fields.price)
    // Defaults: page "1", pageSize "10", sortBy "relevance", sortOrder "desc"
    client.setPaging(page, pageSize, sortBy, sortOrder);

    Other functions.

    // Next page (call search function to fetch results)
    client.nextPage();
    
    // Previous page
    client.previousPage();

    Filters

    Define language filter

    // Fetch documents in specific language (e.g. "en" or "de")
    client.setLanguage('en');

    Define publishing date filter

    // Documents published between specific date range
    client.setDateFilter('2019-01-01', '2019-01-31');

    Define price range filter

    // Products in specific price range (in cents. e.g. 100,00 - 200,00)
    client.setPriceRangeFilter('10000', '20000');

    Define category filters

    Filter by URL patterns, document types or addsearch-category meta tag values. See the full documentation.

    // Only PDF files or products
    client.setCategoryFilters('doctype_pdf,products');

    Custom field filters

    Filter by custom fields. Custon fields can be defined in meta tags or AddSearch crawler can pick them up from your HTML or JSON data. See the full documentation.

    // Search by specific city (Berlin, Paris or Boston)
    client.addCustomFieldFilter('city','berlin');
    client.addCustomFieldFilter('city','paris');
    client.addCustomFieldFilter('city','boston');
    
    // Remove Paris (Berlin and Boston remaining)
    client.removeCustomFieldFilter('city','paris');
    
    // Remove all cities
    client.removeCustomFieldFilter('city');

    Set filtering object

    Set complex filtering object that can contain nested and, or, not, and range filters.

    // Find results where brand is apple, color is not white, and price is between 200 and 500
    var filter = {
      'and':[
         {'custom_fields.brand': 'apple'},
         {'not': {'custom_fields.color': 'white'}},
         {'range': {'custom_fields.price': {'gt': 200, 'lt':500}}}
       ]
    };
    
    client.setFilterObject(filter);

    Set result type

    // By default, fetch all search results
    // If "organic", Pinned results and Promotions are left out
    client.setResultType('organic');

    Facets

    // Declare fields for faceting. Number of hits found from
    // these fields will be returned
    client.addFacetField('category');
    client.addFacetField('custom_fields.genre');

    By default, 10 facets with most hits are returned per field. Use the following function to get more or less facets.

    client.setNumberOfFacets(20);

    Numerical range facets

    Group numerical custom fields into range buckets.

    // Define ranges. E.g. products with price $0-$100, $100-$200, and over $200.
    // From value is inclusive, to value is exclusive
    var ranges = [
      {'to': 100},
      {'from': 100, 'to': 200},
      {'from': 200}
    ];
    
    // Parameters: field name, range array
    client.addRangeFacet('custom_fields.price', ranges);

    Field statistics

    Get minimum, maximum, and average values of a numerical or date-based custom field. The information is handy for applications like range filtering.

    // Search response will have a fieldStats element with information like 
    // custom_fields.price: {min: 1230, max: 1590, avg: 1382}
    client.addStatsField('custom_fields.price');

    Search analytics

    Send search event to analytics

    When search is executed, send the event to your AddSearch Analytics Dashboard.

    // If the numberOfResults is 0, the search is shown in the list of "queries with no hits"
    client.sendStatsEvent('search', keyword, {numberOfResults: n});

    Send click event to analytics

    When a search results is clicked, send the event to your AddSearch Analytics Dashboard. Click information is shown in your statistics and used by the self-learning search algorithm.

    // documentId is the 32-character long id that is part of each hit in search results.
    // position is the position of the document that was clicked, the first result being 1
    client.sendStatsEvent('click', keyword, {documentId: id, position: n});

    Set or get stats session ID

    Control the search session ID manually. Search queries with the same ID are grouped on the Analytics Dashboard. For example, in a search-as-you-type implementation the final keyword of a given session is shown.

    client.getStatsSessionId();
    client.setStatsSessionId(id);

    Collect search events automatically

    Send search events automatically to the Analytics Dashboard. Not recommended in search-as-you-type implementations, as every keystroke would fire a statistics event

    // Control whether search queries are sent to your AddSearch Analytics Dashboard automatically or not (default: true)
    client.setCollectAnalytics(false);

    Personalization

    Set user token (for personalized search results)

    // Add a user token to the search request (if personalization in use)
    client.setUserToken('uuid');

    Send personalization events with search query

    In personalized search, user events are typically sent to AddSearch via API and a user token is passed with the search query (see setUserToken function). An alternative way is to send user events needed for personalization with the search query.

    // Events depend on the personalization strategy
    // Contact AddSearch for more information
    var events = [
      {favorite_genre: 'rock'},
      {favorite_band: 'Red Hot Chili Peppers'},
      {least_favorite_genre: 'country'}
    ];
    
    client.setPersonalizationEvents(events);

    Other

    Set JSON Web Token (for authentication)

    // Add JWT to the search request (if protected search index)
    client.setJWT(token);

    Set API throttling

    // Set Search API throttle time in milliseconds. Default is 200.
    client.setThrottleTime(500);

    Set API hostname

    // Set API hostname (e.g. for dedicated environments)
    client.setApiHostname('api.addsearch.com');

    Indexing API

    With the Indexing API, you can fetch, create, update, and delete single documents or batches of documents.

    Indexing API functions are meant to be used with Node.js. Never expose secret key in your website code.

    // Create client with your keys
    var client = new AddSearchClient('YOUR PUBLIC SITEKEY', 'YOUR SECRET KEY');

    The secret key can be found from AddSearch Dashboard's "Setup" > "Keys and installation" page. Always keep the key secret.

    All Indexing API functions are Promise-based.

    Document structure

    Documents can contain a set of pre-defined fields, as well as any number of custom fields defined under the custom_fields key.

    Using pre-defined fields is optional, but default Search UI components display them by default, so pre-defined field give you visible results a bit faster.

    Pre-defined fields are: url, title, and main_content.

    Example document:

    const doc = {
      id: '1234',
      url: 'https://www.example-store.com/product-x',
      title: 'Example product',
      main_content: 'Lorem ipsum',
      custom_fields: {
        'name': 'Example product',
        'description': 'Description for the example product',
        'price_cents': 599,
        'average_customer_rating': 4.5,
        'release_date': 1589200255
      }
    }

    Data types for custom fields are automatically detected from the content. Supported data types are:

    • text
    • integer
    • double

    Dates should be defined as UNIX timestamps with integer values.

    Document ID

    If the id is not defined in the document at indexing time, it is generated automatically either randomly or from the url field.

    // ID defined by the user
    const docWithDefinedId = {
      id: '1234',
      custom_fields: {}
    }
    // ID created from the URL field (md5 of the url)
    const docWithURL= {
      url: 'https://..',
      custom_fields: {}
    }
    // ID generated randomly
    const docWithAutogeneratedId = {
      // No id or url fields
      custom_fields: {}
    }

    Save document

    Add a document to the index, or update a document.

    const doc = {
      id: '1234',
      custom_fields: {
        'name': 'Example product'
      }
    };
    
    // Save document
    client.saveDocument(doc)
      .then(response => {
        console.log(response);
      })
      .catch(error => {
        console.log(error);
      });

    Get document by ID

    Fetch a specific document by ID.

    client.getDocument(id)
      .then(response => {
        console.log(response);
      })
      .catch(error => {
        console.log(error);
      });

    Delete document by ID

    Delete a specific document by ID.

    client.deleteDocument(id)
      .then(response => {
        console.log(response);
      })
      .catch(error => {
        console.log(error);
      });

    Save batch of documents

    Add or update bunch of documents defined in an array.

    const batch = {
      documents: [
        {
          id: '1234',
          custom_fields: {
            'name': 'Product 1'
          }
        },
        {
          id: '5678',
          custom_fields: {
            'name': 'Product 2'
          }
        }
      ]
    };
    
    // Save batch of documents
    client.saveDocumentsBatch(batch)
      .then(response => {
        console.log(response);
      })
      .catch(error => {
        console.log(error);
      });

    Delete batch of documents

    Delete multiple documents with an array of document IDs.

    // Array of document IDs
    const batch = {
      documents: ["1234", "5678"]
    };
    
    // Delete batch of documents
    client.deleteDocumentsBatch(batch)
      .then(response => {
        console.log(response);
      })
      .catch(error => {
        console.log(error);
      });

    Supported browsers

    The client is tested on

    • Chrome
    • Firefox
    • Edge
    • Safari 6.1+
    • Internet Explorer 10+
    • Node.js

    Development

    To modify this client library, clone this repository to your computer and execute following commands.

    Install dependencies

    npm install

    Code

    Re-compile automatically when source files are changed

    npm run watch

    Run tests

    npm test

    Build

    npm run build

    Built bundle is saved under the dist/ folder

    Support

    Feel free to send any questions, ideas, and suggestions at support@addsearch.com or visit addsearch.com for more information.

    Install

    npm i addsearch-js-client

    DownloadsWeekly Downloads

    463

    Version

    0.6.3

    License

    MIT

    Unpacked Size

    82.3 kB

    Total Files

    17

    Last publish

    Collaborators

    • anttiai