Looking at Uche Ogbuji?s Amara and David Mertz? Gnosis Objectify, I was 
impressed by their simple 'pythonic' bindings ? the network of Python objects 
generated from an XML document reflect the document's (schema's) object model, 
rather than impose a fixed (meta)model on the data, the way DOM does.  Dave 
Kuhlman's generateDS does something similar, but starts with an XML Schema 
rather than an instance document.

These approaches presuppose the existence of XML data (or of an XML Schema in 
the case of generateDS).

I need to go the opposite direction, however: I have a network of Python 
objects and need to generate XML from it.  In the past, I have simply persisted 
my object network using pickle.  This was sufficient until our customer 
discovered the need to generate reports from this data using (non-python) XML 
tools, so the idea was born to persist the data as XML document(s).

Xml_pickle immediately sprang to mind .  The problem is that it generates the 
XML according to a fixed (meta)DTD, like the DOM approach in reverse.  What we 
really need is a more 'XMLic' approach ;-), i.e. an XML that reflects the 
object model of our Python object network.  Ideally, this approach should also 
supply the DTD/XSD/RelaxNG schema (our customer favours XML Schema).

What would be the best way to go about it?  Is there any alternative to 
xml_pickle that is more 'XMLic'?

AFAIK there are tools that can infer the schema from an instance document, 
which could be a way of satisfying the second requirement, once we have 
succeeded in dumping an XML instance document.

I should also mention that our Python classes are modelled in UML using 
Enterprise Architect from Sparx Systems.  This tool has the capability of 
generating XSD for a model.  The XSD that it generates for our model would 
require quite a lot of post-editing, however.

Thanks a lot in advance
Fritz Bosch



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