Hi all,
I'd like to have a generic function that executes a given SQL query
filtering it with conditions passed as keyword args, but I do not find
a clean way to refer to the primitive columns (on the underlying
table) instead of those already bound to the select.
Given a simple select::
Hi Michael,
create a file called something like globals.py, and in all other
modules that use SQLAlchemy, say import globals. A primer on
modules, packages and such is at http://www.python.org/doc/tut/node8.html
Excellent! This seems to have done the job, I am now successfully
Good morning guys,
I'm looking for a way in which I can query my database for records which
meet multiple, optional arguments. I'm looking to encapsulate access to this
using a service layer, I want to create a method like this:
def get_foos(self, foo_id=, foo_firstname=,
use keywordargs as dictionary, i.e.
...query.filter( **kwargs)
where the kwargs are a dict made by u containing only the required
fields. e.g.
kwargs={}
if foo_id: kwargs['fooid']=fooid
...
u can make it more generic (but more dangerous) by passing any kwargs
coming to your func straight down
Hi Svil:
use keywordargs as dictionary, i.e.
...query.filter( **kwargs)
where the kwargs are a dict made by u containing only the required
fields. e.g.
kwargs={}
if foo_id: kwargs['fooid']=fooid
That sounds like a fair enough solution to me, seems safer than the more
generic version.
Hello Again Svil:
That sounds like a fair enough solution to me, seems safer than the more
generic version.
Thanks for the tip mate, sounds really great. I'll play around with that
concept.
Heston
I've tested this little concept and it works really nicely :-D thanks.
One quick question
Hi,
pass an echo=True to the create_engine() (or whereever else u could
pass that) and u'll see the sql.
Ok, I see! Perfect!
I've just configured logging on this so I can keep track, looks excellent.
Heston
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Afternoon Guys,
In my classic non-orm based applications I would usually inject other
business object instances into my classes for such things as logging,
emailing and all manner of other things. For instance:
class foo:
def __init__(self, logger, email_service, foo_id=,
On Jul 14, 2008, at 7:19 PM, Jon wrote:
I've encountered some weird stuff. I'm probably doing it wrong, but I
don't understand *why*.
The following code:
s = Session()
# returns all accounts, the .licenses param
# not taken into consideration
accts =
Hello list,
I recently installed 0.4.6 to check the news, and with horror I saw this dump:
Traceback (most recent call last):
File /media/userdata/stefano/Documenti/projects/Tosi/erp/login.py, line 85,
in onCheckUtente
self.checkUtente(self.inputUser.GetValue().lower())
File
I recently installed 0.4.6 to check the news, and with horror I saw this dump:
Traceback (most recent call last):
File /media/userdata/stefano/Documenti/projects/Tosi/erp/login.py, line 85,
in onCheckUtente
self.checkUtente(self.inputUser.GetValue().lower())
File
Did you call something like select([literal('foo')]) ?If you use
straight Python literals in the columns clause (i.e. select(['foo'])),
they will be rendered directly, which is probably what you want here.
This is fixed in r4933 / r4934 0.5 trunk/ 0.4 branch.
On Jul 15, 2008, at 10:52
popping from dirty() wont change anything since its a set thats
generated each time it's called.
this is from the doc for dirty():
Note that this 'dirty' calculation is 'optimistic'; most
attribute-setting or collection modification operations will
mark an
Michael Bayer wrote:
On Jul 13, 2008, at 5:42 PM, Eric Lemoine wrote:
So far, so good; user can do:
wifi_table = Table('wifi', metadata,
Column('the_geom', Geometry(4326)),
autoload=True)
But ultimately I'd like that my users can do:
wifi_table = Table('wifi', metadata,
I'm not sure where this is going with the 0.5 version, but I believe that
MappedClass.__int__ is still not called when objects are loaded from the DB.
If that's the case, and there isn't some alternate that SA provides like
MappedClass.__onload__, You can look into Mapper Extensions to provide
Hello SQLAlchemists,
What is (or what do you think is) the load that SQLAlchemy can handle
with the default engine options of pool_size=5 and max_overflow=10?
The application I'm working on has the potential for bursts of
thousands of requests in a few seconds, so I am concerned about load.
Is
--On 15. Juli 2008 22:32:35 -0700 Fotinakis [EMAIL PROTECTED] wrote:
Hello SQLAlchemists,
What is (or what do you think is) the load that SQLAlchemy can handle
with the default engine options of pool_size=5 and max_overflow=10?
The application I'm working on has the potential for bursts of
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