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Project Description

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:

Setup:

  1. Include 'deepsearch' in your INSTALLED_APPS.

  2. Configure HAYSTACK_CONNECTIONS.

  3. To enable real-time indexing add the following line to settings.py:

    HAYSTACK_SIGNAL_PROCESSOR = 'deepsearch.signals.DeepSearchSignalProcessor'
    
  4. Create search_indexes.py in your app directory.

  5. python manage.py init_boosts to update index field weight values. You should run this whenever you modify index schema.

  6. python manage.py rebuild_index will update index and deepsearch.models.IndexRelation table.

Release History

Release History

0.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
deepsearch-0.1.tar.gz (10.2 kB) Copy SHA256 Checksum SHA256 Source Jul 25, 2014

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