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.

Metadata

Release files for deepsearch 0.1

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Source distribution for deepsearch 0.1
File	Size	Uploaded	Provenance	Actions
deepsearch-0.1.tar.gz	10.2 kB	Jul 25, 2014	Without provenance	Details for deepsearch-0.1.tar.gz

Release files / deepsearch-0.1.tar.gz

Download URL	deepsearch-0.1.tar.gz
Size	10.2 kB
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SHA-256 checksum How to use checksums	`7c4ae9bc0b8f7927172e7dfd33832731c9391b324c97d515e31700d8bccfdf58`
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Upload date	Jul 25, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

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Jul 25, 2014 1 release file No provenance

deepsearch 0.1