Search for Django and PostgreSQL
Project description
Search for Django and PostgreSQL.
Requirements
Django >= 1.1
django-stringfield >= 0.1.5
django-cerial >= 0.0.2
Installation
First install the package from pypi using pip:
pip install django-pgindex
Then make pgindex an app in your INSTALLED_APPS:
INSTALLED_APPS = ( ... 'pgindex', ... )
Sync your database:
python manage.py syncdb
Done.
Usage
Create and Index class and register it to your model, much like registering an admin class to your model. Example:
# models.py from django.db import models from .index import ItemIndex from pgindex import register class Item(models.Model): title = models.CharField(max_length=100) content = models.TextField() def get_absolute_url(self): return '/item/' register(Item, ItemIndex) # index.py from pgindex import IndexBase, Vector class ItemIndex(IndexBase): def get_title(self): return self.obj.title def get_description(self): return self.obj.content def get_vectors(self): return ( Vector(self.obj.title, weight='A'), Vector(self.obj.content, weight='B'), )
To search simply use the pgindex.search method which returns a queryset from the pgindex.models.Index model:
from pgindex import search index_queryset = search('foo')
See tests for examples.
pgindex.IndexBase methods
get_title()
This should return the title of the indexed object.
get_description()
This should return the description of the indexed object.
get_url()
This should return the url of the indexed object.
get_data()
You can return additional data that will be stored in the index field here, this value will be pickled and depickled.
get_publish()
If this returns False and index will not be created
get_start_publish()
Can return a datetime.datetime which is the time when the index will be used. Returning None means that it will always be used.
get_end_publish()
Can return a datetime.datetime which is the time for the index expiration. Returning None means that it will never expire.
get_vectors()
This method needs to return a list or tuple of pgindex.Vector instances. This in turn is the base for the text search column.
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