def test_delete_task(tables, client, new_job, new_task):
new_job.add_task(new_task)
new_job.save()
resp = client.delete(ENDPOINT + '/{}'.format(new_task.id), headers=HEADERS)
assert resp.status_code == HTTPStatus.OK
assert len(Task.all()) == 0
assert len(Job.all()) == 1
assert len(CommandSegment.all()) == 0 # checks if segments from deleted task are deleted by cascade
def business_get_all(
user_id: Optional[int],
sync_all: Optional[bool]) -> Tuple[Content, HttpStatusCode]:
"""Fetches either all Task records or only those in relation with specific user.
Allows for synchronizing state of each Task out-of-the-box.
In typical scenario API client would want to get all records without sync and
then run sync each records individually.
"""
# TODO Exceptions should never occur, but need to experiment more
if user_id:
# Returns [] if such User with such id does not exist (SQLAlchemy behavior)
tasks = Task.query.filter(Task.user_id == user_id).all()
else:
tasks = Task.all()
# Wanted to decouple syncing from dict conversion with 2 oneliners (using list comprehension),
# but this code is O(n) instead of O(2n)
results = []
for task in tasks:
if sync_all:
synchronize(task.id)
results.append(task.as_dict)
return {'msg': T['all']['success'], 'tasks': results}, 200