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Re: dbf.py API question

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Ole Martin Bjørndalen wrote:
> On Sun, Aug 5, 2012 at 4:09 PM, Ethan Furman <ethan@stoneleaf.us> wrote:
>> Ole Martin Bjørndalen wrote:
>> You can do this by implementing either __getitem__ or __iter__, unless the
>> streaming flag would also make your table not in memory.
> 
> Cool!
> 
> Wow! I realize now that this could in fact be fairly easy to
> implement. I just have to shuffle around the code a bit to make both
> possible. The API would be:
> 
>    # Returns table object which is a subclass of list
>    table = dbfget.read('cables.dbf')
>    for rec in table:
>        print rec
> 
>    # Return a table object which behaves like an iterator
>    table = dbfget.read('cables.dbf', iter=True)
>    for rec in table:
>       print rec
> 
> I have a lot of questions in my mind about how to get this to work,
> but I feel like it's the right thing to do. I will make an attempt at
> a rewrite and get back to you all later.
> 
> One more API question: I am uncomfortable with:
> 
> 
>    dbfget.read()
> 
> Should it just be:
> 
>    dbfget.get()
> 
> ?
> 
> - Ole

`dbfget` is the package name, and `read()` or `get` is the 
class/function that loads the table into memory and returns it?

Maybe `load()`?

~Ethan~

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Re: dbf.py API question Ethan Furman <ethan@stoneleaf.us> - 2012-08-06 08:40 -0700

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