Given that "the customer is always right": In the past I've dealt with this
situation by creating one or more "query" classes and one or more edit classes.
I found it easier to separate these.
I would then create basic methods like EditStaff.add_empooyee(**kwargs) inside
of which I would drop into (in my case) MySQLdb. In retrospect, I'm not sure
that the generick use of **kwargs was a good solution in that it masked what I
was passing in, requiring me to go back to the calling code when debugging.
OTOH it allowed me to be pretting generic by using
Sql = sql_template % kwargs
On the query side. I would convert the returned list of dictionaries to a list
of objects using something like
Class DBrecord:
Def __init__(self, **kwargs):
Self.__dict__.update(kwargs)
So that I did not have to use the record['fieldname'] syntax but could use
record.fieldname.
I would describe myself as more of a survivalist programmer, lacking some of
the sophisticated techniques of others on the mailing list so take that into
account.
Fred.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: Saturday, August 04, 2012 11:26 PM
To: [email protected]
Subject: Re: Object Models - decoupling data access - good examples ?
>
> Just out of curiosity, why do you eschew ORMs?
>
Good question !
I'm not anti-ORM (in fact in many circs I'm quite pro-ORM) but for some time
I've been working with a client who doesn't want ORMs used (they do have quite
good reasons for this although probably not as good as they think).
I was interested to know, given that was the case, how you might - in Python,
go about structuring an app which didn't use an ORM but which did use a RDBMS
fairly intensively.
I take your point about having "rolled my own ORM" - lol - but I can assure you
what's in that 'bardb' is a pretty thin layer over the SQL and nothing like
the, pretty amazing, functionality of, for instance, SQLAlchemy.
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