Algolia Search is a hosted full-text, numerical, and faceted search engine capable of delivering realtime results from the first keystroke.
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 3.3+ and Django 1.7+
You can find the full reference on Algolia's website.
pip install algoliasearch-djangoIn your Django settings, add algoliasearch_django to INSTALLED_APPS and add these two settings:
ALGOLIA = {
'APPLICATION_ID': 'MyAppID',
'API_KEY': 'MyApiKey'
}There are three optional settings:
INDEX_PREFIX: prefix all indexes. Use it to separate different applications, likesite1_Productsandsite2_Products.INDEX_SUFFIX: suffix all indexes. Use it to differentiate development and production environment, likeLocation_devandLocation_prod.AUTO_INDEXING: automatically synchronize the models with Algolia (default to True).
Simply call algoliasearch.register() for each of the models you want to index. A good place to do this is in your application's AppConfig (generally named apps.py). More info in the documentation
from django.apps import AppConfig
import algoliasearch_django as algoliasearch
class YourAppConfig(AppConfig):
name = 'your_app'
def ready(self):
YourModel = self.get_model('your_model')
algoliasearch.register(YourModel)And then, don't forget the line below in the __init__.py file of your Django application.
default_app_config = 'your_django_app.apps.YourAppConfig'By default, all the fields of your model will be used. You can configure the index by creating a subclass of AlgoliaIndex. A good place to do this is in a separate file, like index.py.
from algoliasearch_django import AlgoliaIndex
class YourModelIndex(AlgoliaIndex):
fields = ('name', 'date')
geo_field = 'location'
settings = {'searchableAttributes': ['name']}
index_name = 'my_index'And then replace algoliasearch.register(YourModel) with algoliasearch.register(YourModel, YourModelIndex).
python manage.py 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
--modelparameter to reindex a given model
- you can pass
python manage.py algolia_applysettings: (re)apply the index settings.python manage.py algolia_clearindex: clear the index
We recommend the usage of our JavaScript API Client to perform 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.
from algoliasearch_django import raw_search
params = { "hitsPerPage": 5 }
raw_search(Contact, "jim", params)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.lat, self.lng)
class ContactIndex(AlgoliaIndex):
fields = 'name'
geo_field = 'location'
algoliasearch.register(Contact, ContactIndex)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.
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'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'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.
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 [account.id for account in self.accounts.all()]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
Contactusing itsAccountnames - You can use the associated
account_idsat 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)
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)']
}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_lenght=20)
age = models.IntegerField()
def is_adult(self):
return (self.age >= 18)
class ContactIndex(AlgoliaIndex):
should_index = 'is_adult'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.name] = 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:
index.reindex_all(batch_size)
def set_settings(self):
for index in self.indices:
index.set_settings()
def clear_index(self):
for index in self.indices:
index.clear_index()
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:
index.delete_record(instance)- Finally, register this
AlgoliaIndexwith yourModel:
import algoliasearch_django as algoliasearch
algoliasearch.register(MyModel, MyModelMetaIndex)To run the tests, first find your Algolia application id and Admin API key (found on the Credentials page).
ALGOLIA_APPLICATION_ID={APPLICATION_ID} ALGOLIA_API_KEY={ADMIN_API_KEY} toxTo override settings for some tests, use the settings method:
class OverrideSettingsTestCase(TestCase):
def setUp(self):
with self.settings(ALGOLIA={
'APPLICATION_ID': 'foo',
'API_KEY': 'bar',
'AUTO_INDEXING': False
}):
algolia_engine.reset(settings.ALGOLIA)
def tearDown(self):
algolia_engine.reset(settings.ALGOLIA)
def test_foo():
# ...