To make a model searchable, you’ll need to add it into the search index. All pages, images and documents are indexed for you, so you can start searching them right away.
If you have created some extra fields in a subclass of Page or Image, you may want to add these new fields to the search index too so that a user’s search query will match on their content. See Indexing extra fields for info on how to do this.
If you have a custom model that you would like to make searchable, see Indexing custom models.
If the search index is kept separate from the database (when using Elasticsearch for example), you need to keep them both in sync. There are two ways to do this: using the search signal handlers, or calling the update_index
command periodically. For best speed and reliability, it’s best to use both if possible.
wagtailsearch
provides some signal handlers which bind to the save/delete signals of all indexed models. This would automatically add and delete them from all backends you have registered in WAGTAILSEARCH_BACKENDS
. These signal handlers are automatically registered when the wagtail.search
app is loaded.
In some cases, you may not want your content to be automatically reindexed and instead rely on the update_index
command for indexing. If you need to disable these signal handlers, use one of the following methods:
You can disable the signal handlers for an individual model by adding search_auto_update = False
as an attribute on the model class.
You can disable the signal handlers for a whole search backend by setting the AUTO_UPDATE
setting on the backend to False
.
If all search backends have AUTO_UPDATE
set to False
, the signal handlers will be completely disabled for the whole site.
For documentation on the AUTO_UPDATE
setting, see AUTO_UPDATE.
update_index
commandWagtail also provides a command for rebuilding the index from scratch.
./manage.py update_index
It is recommended to run this command once a week and at the following times:
The search may not return any results while this command is running, so avoid running it at peak times.
Note
The update_index
command is also aliased as wagtail_update_index
, for use when another installed package (such as Haystack) provides a conflicting update_index
command. In this case, the other package’s entry in INSTALLED_APPS
should appear above wagtail.search
so that its update_index
command takes precedence over Wagtail’s.
Fields must be explicitly added to the search_fields
property of your Page
-derived model, in order for you to be able to search/filter on them. This is done by overriding search_fields
to append a list of extra SearchField
/FilterField
objects to it.
This creates an EventPage
model with two fields: description
and date
. description
is indexed as a SearchField
and date
is indexed as a FilterField
.
from wagtail.search import index from django.utils import timezone class EventPage(Page): description = models.TextField() date = models.DateField() search_fields = Page.search_fields + [ # Inherit search_fields from Page index.SearchField('description'), index.FilterField('date'), ] # Get future events which contain the string "Christmas" in the title or description >>> EventPage.objects.filter(date__gt=timezone.now()).search("Christmas")
index.SearchField
These are used for performing full-text searches on your models, usually for text fields.
boolean
) - Setting this to true allows results to be matched on parts of words. For example, this is set on the title field by default, so a page titled Hello World!
will be found if the user only types Hel
into the search box.boost (int/float
) - This allows you to set fields as being more important than others. Setting this to a high number on a field will cause pages with matches in that field to be ranked higher. By default, this is set to 2 on the Page title field and 1 on all other fields.
Note
The PostgresSQL full text search only supports four weight levels (A, B, C, D). When the database search backend wagtail.search.backends.database
is used on a PostgreSQL database, it will take all boost values in the project into consideration and group them into the four available weights.
This means that in this configuration there are effectively only four boost levels used for ranking the search results, even if more boost values have been used.
You can find out roughly which boost thresholds map to which weight in PostgresSQL by starting an new Django shell with ./manage.py shell
and inspecting wagtail.search.backends.database.postgres.weights.BOOST_WEIGHTS
. You should see something like [(10.0, 'A'), (7.166666666666666, 'B'), (4.333333333333333, 'C'), (1.5, 'D')]
. Boost values above each threshold will be treated with the respective weight.
dict
) - This field is to allow the developer to set or override any setting on the field in the Elasticsearch mapping. Use this if you want to make use of any Elasticsearch features that are not yet supported in Wagtail.index.AutocompleteField
These are used for autocomplete queries which match partial words. For example, a page titled Hello World!
will be found if the user only types Hel
into the search box.
This takes the exact same options as index.SearchField
(with the exception of partial_match
, which has no effect).
Note
Only index fields that are displayed in the search results with index.AutocompleteField
. This allows users to see any words that were partial-matched on.
index.FilterField
These are added to the search index but are not used for full-text searches. Instead, they allow you to run filters on your search results.
Search/filter fields do not need to be Django model fields. They can also be any method or attribute on your model class.
One use for this is indexing the get_*_display
methods Django creates automatically for fields with choices.
from wagtail.search import index class EventPage(Page): IS_PRIVATE_CHOICES = ( (False, "Public"), (True, "Private"), ) is_private = models.BooleanField(choices=IS_PRIVATE_CHOICES) search_fields = Page.search_fields + [ # Index the human-readable string for searching. index.SearchField('get_is_private_display'), # Index the boolean value for filtering. index.FilterField('is_private'), ]
Callables also provide a way to index fields from related models. In the example from Inline Panels and Model Clusters, to index each BookPage by the titles of its related_links:
class BookPage(Page): # ... def get_related_link_titles(self): # Get list of titles and concatenate them return '\n'.join(self.related_links.all().values_list('name', flat=True)) search_fields = Page.search_fields + [ # ... index.SearchField('get_related_link_titles'), ]
Any Django model can be indexed and searched.
To do this, inherit from index.Indexed
and add some search_fields
to the model.
from wagtail.search import index class Book(index.Indexed, models.Model): title = models.CharField(max_length=255) genre = models.CharField(max_length=255, choices=GENRE_CHOICES) author = models.ForeignKey(Author, on_delete=models.CASCADE) published_date = models.DateTimeField() search_fields = [ index.SearchField('title', partial_match=True, boost=10), index.SearchField('get_genre_display'), index.FilterField('genre'), index.FilterField('author'), index.FilterField('published_date'), ] # As this model doesn't have a search method in its QuerySet, we have to call search directly on the backend >>> from wagtail.search.backends import get_search_backend >>> s = get_search_backend() # Run a search for a book by Roald Dahl >>> roald_dahl = Author.objects.get(name="Roald Dahl") >>> s.search("chocolate factory", Book.objects.filter(author=roald_dahl)) [<Book: Charlie and the chocolate factory>]
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All rights are reserved.
Licensed under the BSD License.
https://docs.wagtail.org/en/stable/topics/search/indexing.html