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Algolia Search integration for Django

Project description

# Algolia Search API Client for Django

[Algolia Search]( is a hosted search engine capable of delivering real-time results from the first keystroke.

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This package lets you easily integrate the Algolia Search API to your [Django]( project. It's based on the [algoliasearch-client-python]( package.

You might be interested in this sample Django application providing a typeahead.js based auto-completion and Google-like instant search: [algoliasearch-django-example](

Compatible with **Python 2.7**, **Python 3.4+** and **Django 1.7+**

## API Documentation

You can find the full reference on [Algolia's website](

1. **[Setup](#setup)**
* [Introduction](#introduction)
* [Install](#install)
* [Setup](#setup)
* [Quick Start](#quick-start)

1. **[Commands](#commands)**
* [Commands](#commands)

1. **[Search](#search)**
* [Search](#search)

1. **[Geo-Search](#geo-search)**
* [Geo-Search](#geo-search)

1. **[Tags](#tags)**
* [Tags](#tags)

1. **[Options](#options)**
* [Custom <code>objectID</code>](#custom-codeobjectidcode)
* [Custom index name](#custom-index-name)
* [Field Preprocessing and Related objects](#field-preprocessing-and-related-objects)
* [Index settings](#index-settings)
* [Restrict indexing to a subset of your data](#restrict-indexing-to-a-subset-of-your-data)
* [Multiple indices per model](#multiple-indices-per-model)
* [Temporarily disable the auto-indexing](#temporarily-disable-the-auto-indexing)

1. **[Tests](#tests)**
* [Run Tests](#run-tests)

# Setup

## Introduction

This package lets you easily integrate the Algolia Search API to your [Django]( project. It's based on the [algoliasearch-client-python]( package.

You might be interested in this sample Django application providing a typeahead.js based auto-completion and Google-like instant search: [algoliasearch-django-example](

Compatible with **Python 2.7**, **Python 3.4+** and **Django 1.7+**

## Install

pip install algoliasearch-django

## Setup

In your Django settings, add `algoliasearch_django` to `INSTALLED_APPS` and add these two settings:

'API_KEY': 'MyApiKey'

There are several optional settings:

* `INDEX_PREFIX`: prefix all indices. Use it to separate different applications, like `site1_Products` and `site2_Products`.
* `INDEX_SUFFIX`: suffix all indices. Use it to differentiate development and production environments, like `Location_dev` and `Location_prod`.
* `AUTO_INDEXING`: automatically synchronize the models with Algolia (default to **True**).
* `RAISE_EXCEPTIONS`: raise exceptions on network errors instead of logging them (default to **settings.DEBUG**).

## Quick Start

Create an `` inside each application that contains the models you want to index.
Inside this file, call `algoliasearch.register()` for each of the models you want to index:


import algoliasearch_django as algoliasearch

from .models import YourModel


By default, all the fields of your model will be used. You can configure the index by creating a subclass of `AlgoliaIndex` and using the `register` decorator:


from algoliasearch_django import AlgoliaIndex
from algoliasearch_django.decorators import register

from .models import YourModel

class YourModelIndex(AlgoliaIndex):
fields = ('name', 'date')
geo_field = 'location'
settings = {'searchableAttributes': ['name']}
index_name = 'my_index'


# Commands

## Commands

* `python algolia_reindex`: reindex all the registered models. This command will first send all the record to a temporary index and then moves it.
* you can pass ``--model`` parameter to reindex a given model
* `python algolia_applysettings`: (re)apply the index settings.
* `python algolia_clearindex`: clear the index

# Search

## Search

We recommend using our [InstantSearch.js library]( to build your search
interface and perform search queries directly from the end-user browser without going through your server.

However, if you want to search from your backend you can use the `raw_search(YourModel, 'yourQuery', params)` method.
It retrieves the raw JSON answer from the API, and accepts in `param` any
[search parameters](

from algoliasearch_django import raw_search

params = { "hitsPerPage": 5 }
response = raw_search(Contact, "jim", params)

# Geo-Search

## Geo-Search

Use the `geo_field` attribute to localize your record. `geo_field` should be a callable that returns a tuple (latitude, longitude).

class Contact(models.model):
name = models.CharField(max_lenght=20)
lat = models.FloatField()
lng = models.FloatField()

def location(self):
return (, self.lng)

class ContactIndex(AlgoliaIndex):
fields = 'name'
geo_field = 'location'

algoliasearch.register(Contact, ContactIndex)

# Tags

## Tags

Use the `tags` attributes to add tags to your record. It can be a field or a callable.

class ArticleIndex(AlgoliaIndex):
tags = 'category'

At query time, specify `{ tagFilters: 'tagvalue' }` or `{ tagFilters: ['tagvalue1', 'tagvalue2'] }` as search parameters to restrict the result set to specific tags.

# Options

## Custom `objectID`

You can choose which field will be used as the `objectID `. The field should be unique and can
be a string or integer. By default, we use the `pk` field of the model.

class ArticleIndex(AlgoliaIndex):
custom_objectID = 'post_id'

## Custom index name

You can customize the index name. By default, the index name will be the name of the model class.

class ContactIndex(algoliaindex):
index_name = 'Enterprise'

## Field Preprocessing and Related objects

If you want to process a field before indexing it (e.g. capitalizing a `Contact`'s `name`),
or if you want to index a [related object]('s
attribute, you need to define **proxy methods** for these fields.

### Models

class Account(models.Model):
username = models.CharField(max_length=40)
service = models.CharField(max_length=40)

class Contact(models.Model):
name = models.CharField(max_length=40)
email = models.EmailField(max_length=60)
accounts = models.ManyToManyField(Account)

def account_names(self):
return [str(account) for account in self.accounts.all()]

def account_ids(self):
return [ for account in self.accounts.all()]

### Index

from algoliasearch_django import AlgoliaIndex

class ContactIndex(AlgoliaIndex):
fields = ('name', 'email', 'company', 'address', 'city', 'county',
'state', 'zip_code', 'phone', 'fax', 'web', 'followers', 'account_names', 'account_ids')

settings = {
'searchableAttributes': ['name', 'email', 'company', 'city', 'county', 'account_names',

- With this configuration, you can search for a `Contact` using its `Account` names
- You can use the associated `account_ids` at search-time to fetch more data from your
model (you should **only proxy the fields relevant for search** to keep your records' size
as small as possible)

## Index settings

We provide many ways to configure your index allowing you to tune your overall index relevancy.
All the configuration is explained on [our doc](

class ArticleIndex(AlgoliaIndex):
settings = {
'searchableAttributes': ['name', 'description', 'url'],
'customRanking': ['desc(vote_count)', 'asc(name)']

## Restrict indexing to a subset of your data

You can add constraints controlling if a record must be indexed or not. `should_index` should be a
callable that returns a boolean.

class Contact(models.model):
name = models.CharField(max_length=20)
age = models.IntegerField()

def is_adult(self):
return (self.age >= 18)

class ContactIndex(AlgoliaIndex):
should_index = 'is_adult'

## Multiple indices per model

It is possible to have several indices for a single model.

- First, define all your indices that you want for a model:

from django.contrib.algoliasearch import AlgoliaIndex

class MyModelIndex1(AlgoliaIndex):
name = 'MyModelIndex1'

class MyModelIndex2(AlgoliaIndex):
name = 'MyModelIndex2'

- Then, define a meta model which will aggregate those indices:

class MyModelMetaIndex(AlgoliaIndex):
def __init__(self, model, client, settings):
self.indices = [
MyModelIndex1(model, client, settings),
MyModelIndex2(model, client, settings),

def raw_search(self, query='', params=None):
res = {}
for index in self.indices:
res[] = index.raw_search(query, params)
return res

def update_records(self, qs, batch_size=1000, **kwargs):
for index in self.indices:
index.update_records(qs, batch_size, **kwargs)

def reindex_all(self, batch_size=1000):
for index in self.indices:

def set_settings(self):
for index in self.indices:

def clear_index(self):
for index in self.indices:

def save_record(self, instance, update_fields=None, **kwargs):
for index in self.indices:
index.save_record(instance, update_fields, **kwargs)

def delete_record(self, instance):
for index in self.indices:

- Finally, register this `AlgoliaIndex` with your `Model`:

import algoliasearch_django as algoliasearch
algoliasearch.register(MyModel, MyModelMetaIndex)

## Temporarily disable the auto-indexing

It is possible to temporarily disable the auto-indexing feature using the `disable_auto_indexing` context decorator:

from algoliasearch_django.decorators import disable_auto_indexing

# Used as a context manager
with disable_auto_indexing():

# Used as a decorator

# You can also specifiy for which model you want to disable the auto-indexing
with disable_auto_indexing(MyModel):


# Tests

## Run Tests

To run the tests, first find your Algolia application id and Admin API key (found on the Credentials page).


To override settings for some tests, use the [settings method](
class OverrideSettingsTestCase(TestCase):
def setUp(self):
with self.settings(ALGOLIA={
'API_KEY': 'bar',

def tearDown(self):

def test_foo():
# ...

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