q.all() returns me a result in format:
[('one', {'t2c2': 'qwe',
't2c1': '11',
't2c3': '1'}),
('two', {'t2c2': 'rty',
't2c1': '22',
't2c3': '2'}),
..]
The result of
q.all()._asdict()
is
[{
't1c2': 'one',
'table2': {
't2c2': 'qwe',
't2c1': '11',
't2c3': '1'
}
},
{
't1c2': 'two',
'table2': {
't2c2': 'rty',
't2c1': '22',
't2c3': '2'
}
},
...]
Above solutions aren't result whose I excepted.
I try to avoid any casting in Python.
Is it possible?
W dniu poniedziałek, 17 października 2016 18:52:59 UTC+2 użytkownik
Jonathan Vanasco napisał:
>
> Your query's underlying sql returns multiple rows. You can cast those
> results into a dict in Python.
>
>
>
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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