I'd like to retrieve a model's objects via a search form but add another column for search score. I'm unsure how to achieve this using django-tables2 and django-filter.
In the future, I'd like the user to be able to use django-filter to help filter the search result. I can access the form variables from PeopleSearchListView but perhaps it's a better approach to integrate a django form for form handling?
My thought so far is to handle to the get request in get_queryset() and then modify the queryset before it's sent to PeopleTable, but adding another column to the queryset does not seem like a standard approach.
tables.py
class PeopleTable(tables.Table):
score = tables.Column()
class Meta:
model = People
template_name = 'app/bootstrap4.html'
exclude = ('id',)
sequence = ('score', '...')
views.py
class PeopleFilter(django_filters.FilterSet):
class Meta:
model = People
exclude = ('id',)
class PeopleSearchListView(SingleTableMixin, FilterView):
table_class = PeopleTable
model = People
template_name = 'app/people.html'
filterset_class = PeopleFilter
def get_queryset(self):
p = self.request.GET.get('check_this')
qs = People.objects.all()
####
# Run code to score users against "check_this".
# The scoring code I'm using is complex, so below is a simpler
# example.
# Modify queryset using output of scoring code?
####
for person in qs:
if person.first_name == 'Phil' and q == 'Hey!':
score = 1
else:
score = 0
return qs
urls.py
urlpatterns = [
...
path('search/', PeopleSearchListView.as_view(), name='search_test'),
... ]
models.py
class People(models.model):
first_name = models.CharField(max_length=200)
last_name = models.CharField(max_length=200)
Edit: The scoring algorithm is a bit more complex than the above example. It requires a full pass over all of the rows in the People table to generate a score matrix, before finally comparing each scored row with the search query. It's not a one-off score. For example:
def get_queryset(self):
all = []
for person in qs:
all.append(person.name)
# Do something complex with all,
# e.g., measure cosine distance between every person,
# and finally compare to the get request
scores = measure_cosine(all, self.request.GET.get('check_this'))
# We now have the scores for each person.