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Algolia Search API Client for Python

Project description

Algolia Search API Client for Python

Algolia Search is a hosted full-text, numerical, and faceted search engine capable of delivering realtime results from the first keystroke.

The Algolia Search API Client for Python lets you easily use the Algolia Search REST API from your Python code.

Build Status PyPI version Coverage Status

We implemented an asynchronous version of the client that may suit your need if you are using a framework such as aiohttp in your backend. This version can be found here.

Getting Started

Install

Install AlgoliaSearch using pip:

pip install --upgrade algoliasearch

Quick Start

In 30 seconds, this quick start tutorial will show you how to index and search objects.

Initialize the client

To begin, you will need to initialize the client. In order to do this you will need your Application ID and API Key. You can find both on your Algolia account.

from algoliasearch import algoliasearch

client = algoliasearch.Client("YourApplicationID", 'YourAPIKey')
index = client.init_index('your_index_name')

Note: If you use this API Client with Google AppEngine (Thanks [@apassant](https://github.com/apassant)), it will use urlfetch instead of using the request module. Please be aware of urlfetch’s limits, and note that SSL certificates will not be verified for calls to domains other than algolia.net due to the lack of SNI support in urlfetch. To run unit tests on the AppEngine stub, please define an APPENGINE_RUNTIME enviroment variable.

Push data

Without any prior configuration, you can start indexing 500 contacts in the contacts index using the following code:

index = client.init_index("contact")
batch = json.load(open('contacts.json'))
index.add_objects(batch)

Configure

Settings can be customized to fine tune the search behavior. For example, you can add a custom sort by number of followers to further enhance the built-in relevance:

index.set_settings({"customRanking": ["desc(followers)"]})

You can also configure the list of attributes you want to index by order of importance (most important first).

Note: The Algolia engine is designed to suggest results as you type, which means you’ll generally search by prefix. In this case, the order of attributes is very important to decide which hit is the best:

index.set_settings({"searchableAttributes": ["lastname", "firstname", "company",
                                         "email", "city", "address"]})

Search UI

Warning: If you are building a web application, you may be more interested in using one of our frontend search UI libraries

The following example shows how to build a front-end search quickly using InstantSearch.js

index.html

<!doctype html>
<head>
  <meta charset="UTF-8">
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/instantsearch.js@2.3/dist/instantsearch.min.css">
  <!-- Always use `2.x` versions in production rather than `2` to mitigate any side effects on your website,
  Find the latest version on InstantSearch.js website: https://community.algolia.com/instantsearch.js/v2/guides/usage.html -->
</head>
<body>
  <header>
    <div>
       <input id="search-input" placeholder="Search for products">
       <!-- We use a specific placeholder in the input to guides users in their search. -->

  </header>
  <main>


  </main>

  <script type="text/html" id="hit-template">

      <p class="hit-name">{{{_highlightResult.firstname.value}}} {{{_highlightResult.lastname.value}}}</p>

  </script>

  <script src="https://cdn.jsdelivr.net/npm/instantsearch.js@2.3/dist/instantsearch.min.js"></script>
  <script src="app.js"></script>
</body>

app.js

var search = instantsearch({
  // Replace with your own values
  appId: 'YourApplicationID',
  apiKey: 'YourSearchOnlyAPIKey', // search only API key, no ADMIN key
  indexName: 'contacts',
  urlSync: true,
  searchParameters: {
    hitsPerPage: 10
  }
});

search.addWidget(
  instantsearch.widgets.searchBox({
    container: '#search-input'
  })
);

search.addWidget(
  instantsearch.widgets.hits({
    container: '#hits',
    templates: {
      item: document.getElementById('hit-template').innerHTML,
      empty: "We didn't find any results for the search <em>\"{{query}}\"</em>"
    }
  })
);

search.start();

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Filename, size & hash SHA256 hash help File type Python version Upload date
algoliasearch-1.17.0-py2.py3-none-any.whl (26.6 kB) Copy SHA256 hash SHA256 Wheel 3.6 Jun 19, 2018
algoliasearch-1.17.0.tar.gz (28.6 kB) Copy SHA256 hash SHA256 Source None Jun 19, 2018

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