Fixup Sanjay's todos.
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@ -107,34 +107,23 @@ class Feature(models.Model):
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time_end.short_description = "End Date"
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def similar_features(self, max_distance=15000, scale_factor=2000, limit=20):
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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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sql = """
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SELECT *, %f * similarity / (distance + 1.0) AS score FROM (
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SELECT id, url, preferred_name, feature_type_id,
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admin1, admin2, is_primary,
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SELECT f.*, r.*,
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similarity(preferred_name, '%s') AS similarity,
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st_distance_sphere(geometry, 'SRID=4326;%s') AS distance
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FROM places_feature
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FROM places_feature f LEFT JOIN places_relationship r
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ON (f.id=r.feature_from OR f.id=r.feature_to)
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WHERE geometry && st_buffer('%s', %f)
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AND preferred_name %%%% '%s'
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AND id <> %d
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AND f.id <> %d
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LIMIT %d
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) AS whatever
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ORDER BY similarity / (distance + 1.0) DESC"""
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% (scale_factor, name, self.geometry.wkt, self.geometry.wkt,
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max_distance*0.00001, name, self.id, limit)
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)
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result_list = []
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fields = ('id', 'url', 'preferred_name', 'feature_type_id', '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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qset = self.objects.raw(sql, (scale_factor, name, self.geometry.wkt,
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self.geometry.wkt, max_distance*0.00001, name,
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self.id, limit))
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return qset
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LANGUAGE_CHOICES = (
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('en', 'English'),
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@ -88,23 +88,24 @@ def search_related_json(request, id):
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similar_features = feature.similar_features()
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d = []
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for s in similar_features:
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f = Feature.objects.get(pk=s.id) # This seems inefficient - better to get something like time_frame_id in models method?
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if f.time_frame is not None:
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time_frame = f.time_frame.description
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for f in similar_features:
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if s.time_frame is not None:
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time_frame = s.time_frame.description
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else:
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time_frame = ''
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if s.relationship_type is not None and s.feature_to == s.id:
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relationship = s.relationship_type
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else:
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relationship = ''
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d.append({
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'id': s.id,
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'feature_type': FeatureType.objects.get(pk=s.feature_type_id).name,
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'feature_type': s.feature_type.name, #FeatureType.objects.get(pk=s.feature_type_id).name,
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'preferred_name': s.preferred_name,
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'similarity': s.similarity,
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'distance': s.distance,
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'time_frame': time_frame,
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'is_primary': s.is_primary,
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'relationship': '' #TODO: query db for relation between id and s.id - if exists, return relation_type as string, else return empty string.
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'relationship': relationship
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})
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return render_to_json_response(d)
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@ -134,10 +135,16 @@ def add_relation(request):
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relation = request.GET.get("relation", None)
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if feature1 == None or feature2 == None or relation == None: #TODO: split up errors :/ -- not imp.
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return render_to_json_response({'error': 'bad request'})
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if not request.user.is_staff:
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return render_to_json_response({'error': 'insufficient permissions error. try logging in again? are you staff / admin?'})
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#TODO: handle saving m2m between feature1 and feature2 with relation. If relation='', either remove existing relation between feature1 and feature2, or ignore if no such existing relation exists. BIG QUESTION: Here it can also deal with is_primary logic - if it sets stuff to is_primary or not, though, this needs to be conveyed to the front-end / a logic figured out to toggle the check-boxes display.
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feature1 = get_object_or_404_json(Feature, feature1)
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feature2 = get_object_or_404_json(Feature, feature2)
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Relationship(feature_from=feature1, feature_to=feature2, relationship_type=relation).save()
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if relation == "subsumes":
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feature2.is_primary = False
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feature2.save()
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return render_to_json_response({'success': 'relation made successfully.'})
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