Add .similar_features() method to Feature
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@ -22,7 +22,7 @@ class FeatureSearchManager(manager.GeoManager):
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if text:
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text = text.replace("'", "''") # escape the '
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# use the pg_trgm index
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qset = qset.extra(where=["preferred_name %% '%s']" % text)
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qset = qset.extra(where=["preferred_name %% '%s'" % text])
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return qset
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class Feature(models.Model):
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@ -65,6 +65,34 @@ class Feature(models.Model):
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return ''
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time_end.short_description = "End Date"
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def similar_features(self, max_distance=15000, scale_factor=2000):
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cursor = connection.cursor()
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name = unicode(self).replace("'", "''") # escape '
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cursor.execute("""
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SELECT *, %f * similarity / distance AS score FROM (
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SELECT url, preferred_name, feature_type,
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admin1, admin2, is_primary,
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similarity(preferred_name, '%s') AS similarity,
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st_distance_sphere(geometry, '%s') AS distance
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FROM places_feature
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WHERE geometry && st_buffer('%s', %f)
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AND preferred_name % '%s'
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) AS whatever
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WHERE %f * similarity / distance >= 1.0
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ORDER BY similarity / distance DESC"""
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% (scale_factor, name, self.geometry, self.geometry,
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max_distance*0.00001, name, scale_factor)
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)
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result_list = []
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fields = ('url', 'preferred_name', 'feature_type', 'admin1', 'admin2', 'is_primary')
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for row in cursor.fetchall():
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vals = dict(zip(fields, row[:len(fields)]))
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p = type(self)(**vals)
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p.similarity = row[-3]
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p.distance = row[-2]
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p.score = row[-1]
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result_list.append(p)
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return result_list
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LANGUAGE_CHOICES = (
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('en', 'English'),
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