Looks good, and of course that's the kind of thing I tried very early on. But I'm still getting the same "unsupported keyword arguments" error, despite the allow-extra-fields thing...
Well, for instance, it would be nice to mimic the url-query style of -
started:2021-09-03T07:00:00%2B2021-09-10T05:32:00
At the moment I'm querying by paging through the tasks as you recommended, and then filtering with standard python list-comprehension filters...Which is less than ideal.
Ok. Thanks.
Until I get to that, is there an example somewhere regarding using the "all" option?
My (temporary) work-around is using multiple filter queries, but I don't think I'm getting the filters to work as "and" instead of "or"...
So something like this -
tag_filtered_training_tasks = Task.get_tasks(task_filter={'tags': [tag1, tag2, tag3], 'type': ['training']})
should result in very very few tasks, but that's not what seems to be happening.
(I've tried different guesses regarding the us...
Huh. Should have guessed 😉
Thanks! Hopefully I'll update to the latest version and get rid of the many lines of work-around code...
Thanks!
What I'm trying to do is to filter is between two datetimes...Is that possible?
If I get something sensible going I'll share for documentation of course.
Fantastic. Worked like a charm. Thanks a million!