Direct data to object for xml, jon and csv
Project description
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"))
Requirements
The library has been tested for Python 3.4 There is no external dependencies.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file dum-0.4.tar.gz
.
File metadata
- Download URL: dum-0.4.tar.gz
- Upload date:
- Size: 20.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6a3b0d08653471da0a5a5225dc2c38f89a4d2dd3bd0040f1d3fbe4c7e9a926e |
|
MD5 | 6129b1b7cf7ee8cae409345c9ddb6d85 |
|
BLAKE2b-256 | 7796538fcc4623c12d4d5880dd055a1c9aea7694de08d34824b69bb722587132 |