I've got this code:
report = {
'period': {
'actions': [a.for_report() for a in team_actions.filter(type=Action.ACTION)],
'events': [e.for_report() for e in team_actions.filter(type=Action.EVENT)],
'timeskip': [t.for_report() for t in team_actions.filter(type=Action.TIMESKIP)],
'buysell': [b.for_report() for b in team_actions.filter(type=Action.BUYSELL)],
}
# This is what the for_report function does
def for_report(self):
return {
'name': self.name,
'value': self.value,
}
And as you can see I'm pretty much doing the same thing 4 times, just that in the end I filter for a different type of Action. So I wanted to improve my queries and was wondering if there is a clever solution for doing things like that, which is also more performant?
Thanks for any answers!
CodePudding user response:
You can fetch all results in a single query and then use itertools.groupby
to group them by the type
keyfunc = lambda obj: obj.type
query = team_actions.order_by('type')
report = {
'period': {key: [x.for_report() for x in group] for key, group in itertools.groupby(query, keyfunc)}
}