data design

Imbaud Pierre pierre at saiph.com
Tue Jan 30 16:52:43 CET 2007


Larry Bates a écrit :
> Imbaud Pierre wrote:
> 
>>The applications I write are made of, lets say, algorithms and data.
>>I mean constant data, dicts, tables, etc: to keep algorithms simple,
>>describe what is peculiar, data dependent, as data rather than "case
>>statements". These could be called configuration data.
>>
>>The lazy way to do this: have modules that initialize bunches of
>>objects, attributes holding the data: the object is somehow the row of
>>the "table", attribute names being the column. This is the way I
>>proceeded up to now.
>>Data input this way are almost "configuration data", with 2 big
>>drawbacks:
>> - Only a python programmer can fix the file: this cant be called a
>>   configuration file.
>> - Even for the author, these data aint easy to maintain.
>>
>>I feel pretty much ready to change this:
>>- make these data true text data, easier to read and fix.
>>- write the module that will make python objects out of these data:
>>the extra cost should yield ease of use.
>>
>>2 questions arise:
>>- which kind of text data?
>>    - csv: ok for simple attributes, not easy for lists or complex
>>    data.
>>    - xml: the form wont be easier to read than python code,
>>      but an xml editor could be used, and a formal description
>>      of what is expected can be used.
>>- how can I make the data-to-object transformation both easy, and able
>>  to spot errors in text data?
>>
>>Last, but not least: is there a python lib implementing at least part
>>of this dream?
> 
> 
> Use the configurations module.  It was built to provide a way to parse
> configuration files that provide configuration data to program.  It is
> VERY fast so the overhead to parse even thousands of lines of config
> data is extremely small.  I use it a LOT and it is very flexible and
> the format of the files is easy for users/programmers to work with.
> 
> -Larry Bates
U mean configParser? Otherwise be more specific (if U dont mind...)



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