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@ -111,7 +111,7 @@ The available resizing methods are:
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More control over the ``img`` tag
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---------------------------------
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Wagtail provides two shorcuts to give greater control over the ``img`` element:
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Wagtail provides two shortcuts to give greater control over the ``img`` element:
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**1. Adding attributes to the {% image %} tag**
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@ -5,7 +5,7 @@
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Search
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======
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Wagtail provides a comprehensive and extensible search interface. In addition, it provides ways to promote search results through "Editor's Picks." Wagtail also collects simple statistics on queries made through the search interface.
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Wagtail provides a comprehensive and extensible search interface. In addition, it provides ways to promote search results through "Editor's Picks". Wagtail also collects simple statistics on queries made through the search interface.
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.. toctree::
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:maxdepth: 2
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@ -8,7 +8,7 @@ Indexing
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To make a model searchable, you'll firstly need to add it into the search index. All pages, images and documents are indexed for you and you can start searching them right away.
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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 a users search query will match on their content. See :ref:`wagtailsearch_indexing_fields` for info on how to do this.
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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 :ref:`wagtailsearch_indexing_fields` for info on how to do this.
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If you have a custom model that you would like to make searchable, see :ref:`wagtailsearch_indexing_models`.
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@ -19,13 +19,13 @@ If you have a custom model that you would like to make searchable, see :ref:`wag
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Updating the index
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==================
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If the search index is kept separate from the database (when using Elasticsearch for example), you need to keep them both in sync. Theres 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.
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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.
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Signal handlers
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---------------
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Wagtailsearch provides some signal handlers which bind to the save/delete signals of all indexed models. This would add and delete them from all backends you have registered in ``WAGTAILSEARCH_BACKENDS`` automatically.
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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``.
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To register the signal handlers, add the following code somewhere it would be executed at startup. We reccommend adding this to your projects ``urls.py``:
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@ -39,7 +39,7 @@ To register the signal handlers, add the following code somewhere it would be ex
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.. note::
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If your project was made with the ``wagtail start`` command, this should already be set up for you.
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If your project was made with the ``wagtail start`` command, this will already be set up for you.
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The ``update_index`` command
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