Metadata-Version: 1.1
Name: django-pg-fts
Version: 0.1.1
Summary: Implementation of PostgreSQL Full Text Search for django 1.7
Home-page: http://www.dvdmgl.com/
Author: dvdmgl
Author-email: dvdmgl@gmail.com
License: BSD License
Description: =============
        django-pg-fts
        =============
        
        Implementation PostgeSQL for Full Text Search for django 1.7, taking advantage of new features Migrations and Custom Lookups.
        
        
        Features:
        
        - FieldLookup's search, isearch, tsquery
        
        - Ranking support with normalization, and weights using annotations
        
        - Migrations classes to help create and remove index's, support for 'gin' or 'gist'
        
        - Migrations classes to help create and remove of trigger's
        
        - Multiple dictionaries support with trigger and FieldLookup's
        
        - Support for python 2.7, 3.3 and 3.4
        
        
        With multiple dictionary support, index and trigger migrations
        
        How it works
        ------------
        
        For a existing model::
        
            class Article(models.Model):
                title = models.CharField(max_length=255)
                article = models.TextField()
        
        You want to have full text search in fields title and article, and make give weight to title of 'A'.
        
        Import TSVectorField::
        
            from pg_fts.fields import TSVectorField
        
        Add to existing TSVectorField to model and tell the fields that you want to index and the dictionary::
        
            fts = TSVectorField(fields=(('title', 'A'), 'article'), dictionary='english')
        
        Create migrations file::
            
            python manage.py makemigrations article
        
        Open the new created migration and import CreateFTSIndexOperation, CreateFTSTriggerOperation, UpdateVectorOperation::
        
            from pg_fts.migrations import (CreateFTSIndexOperation, CreateFTSTriggerOperation,
                                           UpdateVectorOperation)
        
        And add to the end of operations::
        
            # update vector for already existing data
            UpdateVectorOperation(
                name='Article',
                field='fts',    
            ),
            # create trigger for automatic insert and update vector
            CreateFTSTriggerOperation(
                name='Article',
                field='fts'
            ),
            # create gin index for vector
            CreateFTSIndexOperation(
                name='Article',
                field='fts',
                index='gin'
            )
        
        Make the changes to your database::
        
            python manage.py migrate article
        
        Now you have a full text search performance with a trigger that checks any changes in the tracked fields and updates vector field.
        
        You can search will match all words:
        
        >>> Article.objects.filter(fts__search='waz up')
        
        Will result in sql something like:
        
        .. code-block:: sql
        
            tsvector @@ to_tsquery('english', 'waz & up')
        
        Or isearch will match some words:
        
        >>> Article.objects.filter(fts__isearch='waz up')
        
        Will result in sql something like:
        
        .. code-block:: sql
        
            tsvector @@ to_tsquery('english', 'waz | up')
        
        But you can make a raw tsquery:
        
        >>> Article.objects.filter(fts__tsquery='waz & !up')
        
        Will result in sql something like:
        
        .. code-block:: sql
        
            tsvector @@ to_tsquery('english', 'waz & !up')
        
        And also rank the results with normalization and order:
        
        >>> from pg_fts.ranks import FTSRank
        >>> Article.objects.filter(
            rank=FTSRank(fts_search='waz up', normalization=[1,3])).order_by('-rank')
        
        For multiple dictionaries and more advanced options, check the `documentation <http://django-pg-fts.readthedocs.org/>`_.
        
        Documentation
        -------------
        
        Documentation available in `Read The Docs django-pg-fts.readthedocs.org <http://django-pg-fts.readthedocs.org/>`_
        
        Installation
        ------------
        
        Clone from GitHub::
            
            git clone git://github.com/dvdmgl/django-pg-fts.git django-pg-fts
        
        You should run the tests::
        
            python runtests.py
        
        Or running tox for py27, py33, py34::
            
            tox
        
        Install using pip from github::
        
            pip install git+https://github.com/dvdmgl/django-pg-fts
        
        Or using setup.py::
        
            python setup.py
        
        
Keywords: django postgres postgresql pgsql full text search fts
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Django
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Requires: Django (>=1.7)
Requires: psycopg2
