So I tried it out, and it works great, except for one thing - when I try to
use record.as_dict() to get
the structure which I can return to a JSON-RPC call which I normally use to
communicate with my
client, it simply does not return the field.
I tried to print it out and I see very clearly that as long as it is a Row
object there is no problem, but
as soon as I run .as_dict() it disappears.
My definitions are as follows:
from gluon.dal import SQLCustomType
pickled = SQLCustomType(
type = 'text',
native = 'text',
encoder = (lambda x: pickle.dumps(x)),
decoder = (lambda x: pickle.loads(x))
)
then I use
db.define_table("my_table",
Field("pickled_field", type=pickled)
)
but when I fetch the record it does not go to as_dict() (actually I use
as_list() but both don't work).
Any suggestions? Is there a way to teach as_dict to interpret this field
type?
Best wishes,
Omri
On Wed, Jul 25, 2012 at 9:20 PM, howesc <how...@umich.edu> wrote:
> For what it is worth i have used custom fields for this type of thing with
> great success!
>
>
> On Tuesday, July 24, 2012 8:20:03 AM UTC-7, Anthony wrote:
>>
>> You could use a SQLCustomType field: http://web2py.com/**
>> books/default/chapter/29/6#**Custom-Field-types-(**experimental)<http://web2py.com/books/default/chapter/29/6#Custom-Field-types-%28experimental%29>
>> .
>>
>> Anthony
>>
>> On Tuesday, July 24, 2012 8:34:07 AM UTC-4, Omri Har-Shemesh wrote:
>>>
>>>
>>> Hi web2pyers,
>>>
>>> very often, I have a field in the table which has to hold a complicated
>>> value (most often numpy arrays). The way I implement it is that I use
>>> "text" as the type of field, and then simply pickle.dumps(my_value) when
>>> I save the field, and then pickle.loads(value_from_db) to access the
>>> field
>>> again.
>>>
>>> My suggestion is simple - create field that automatically pickles the
>>> values
>>> it gets and unpickles them on extraction. Is this already implemented?
>>> Do you have other suggestions on how to implement this so that I won't
>>> need
>>> to pickle every time I access the table?
>>>
>>> Best wishes,
>>> Omri
>>>
>> --
>
>
>
>
--
