deepsearch is a Haystack extension used to index deep and nested model relationships. Its key features are:
deepsearch.indexes.DeepSearchIndex class able to index deeply nested related objects and their fields.
deepsearch.models.FieldBoost model that stores weights of each index field for query-time field boosting.
resume_index command able to reindex a slice of all objects or only a subset of index fields.
Celery support for real-time indexing.
Installation
Requirements:
Python >= 2.6
Django >= 1.4
django-haystack >= 2.1.0
South.>= 0.8.1
celery>=3.1 (optional)
Recommended:
haystackbrowser (to inspect indexed data)
Setup:
Include 'deepsearch' in your INSTALLED_APPS.
Configure HAYSTACK_CONNECTIONS.
To enable real-time indexing add the following line to settings.py:
HAYSTACK_SIGNAL_PROCESSOR = 'deepsearch.signals.DeepSearchSignalProcessor'Create search_indexes.py in your app directory.
python manage.py init_boosts to update index field weight values. You should run this whenever you modify index schema.
python manage.py rebuild_index will update index and deepsearch.models.IndexRelation table.
1 maintainer
Metadata
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Release files for deepsearch 0.1
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