Introduction

With the dum module you can easily map data from structured files to a set of python classes. The current version can be used with json, csv or xlm formats, more are expected to come.

Parsing and projecting

The main idea is that your code is designed with objects that share more or less the same organization than the data in the original file. With a few directives, it must then be possible to directly project the data parsed from the file to the class model of your application.

For sample a minimal (all the display methods are still to write...) Atom application could look like

class Author:
    class dum:
        name =""
        email=""

class Link:
    class dum:
        rel=""
        href=""

class Entry:
    class dum:
        title = ""
        author = [Author]
        link = [Link]
        updated = dateutil.parser.parse

class Atom:
    class dum:
        title =""
        subtitle= ""
        entry = [Entry]
        link = [Link]
        updated = dateutil.parser.parse

atom = dum.xml(Atom, open("myrss"))

About

It’s free software, available under the MIT license

The library has been tested with Python 3.4. There is no external dependencies.

To get last version of dum :

• Mercurial repository on Bitbucket
• From the Python Package Index

Please use the issue tracker for bugs or missing functions.