xmlsjon converts XML into Python dictionary structures (trees, like in JSON) and vice-versa.
Project description
xmlsjon converts XML into Python dictionary structures (trees, like in JSON) and vice-versa.
About
XML can be converted to a data structure (such as JSON) and back. For example:
<employees>
<person>
<name value="Alice"/>
</person>
<person>
<name value="Bob"/>
</person>
</employees>
can be converted into this data structure (which also a valid JSON object):
{ "employees": [
{ "person": {
"name": {"@value": "Alice"}
} },
{ "person": {
"name": {"@value": "Alice"}
} }
] }
This uses the BadgerFish convention that prefixes attributes with @. The conventions supported by this library are:
- BadgerFish: Use "$" for text content, @ to prefix attributes,
- GData: Use "$t" for text content, attributes added as-is
- Parker: Use tail nodes for text content, ignore attributes
Convert data to XML
To convert from a data structure to XML using the BadgerFish convention:
>>> from xmljson import badgerfish as bf
>>> bf.etree({'p': {'@id': 'main', '$': 'Hello', 'b': 'bold'}})
This returns an array of etree.Element structures. In this case, the result is identical to:
>>> from xml.etree.ElementTree import fromstring
>>> [fromstring('<p id="main">Hello<b>bold</b></p>')]
The result can be inserted into any existing root etree.Element:
>>> from xml.etree.ElementTree import Element, tostring
>>> root = Element('root')
>>> result = bf.etree({'p': {'@id': 'main'}}, root=root)
>>> tostring(result)
'<root><p id="main"/></root>'
This includes lxml.html as well:
>>> from lxml.html import Element, tostring
>>> root = Element('html')
>>> result = bf.etree({'p': {'@id': 'main'}}, root=root)
>>> tostring(result, doctype='<!DOCTYPE html>')
'<!DOCTYPE html>\n<html><p id="main"></p></html>'
For ease of use, strings are treated as node text. For example, both the following are the same:
>>> bf.etree({'p': {'$': 'paragraph text'}})
>>> bf.etree({'p': 'paragraph text'})
Convert XML to data
To convert from XML to a data structure using the BadgerFish convention:
>>> bf.data(fromstring('<p id="main">Hello<b>bold</b></p>'))
{"p": {"$": "Hello", "@id": "main", "b": {"$": "bold"}}}
To convert this to JSON, use:
>>> from json import dumps
>>> dumps(bf.data(fromstring('<p id="main">Hello<b>bold</b></p>')))
'{"p": {"b": {"$": "bold"}, "@id": "main", "$": "Hello"}}'
To preserve the order of attributes and children, specify the dict_type as OrderedDict (or any other dictionary-like type) in the constructor:
>>> from collections import OrderedDict >>> from xmljson import BadgerFish # import the class >>> bf = BadgerFish(dict_type=OrderedDict) # pick dict class
Conventions
To use a different conversion method, replace BadgerFish with one of the other classes. Currently, these are supported:
>>> from xmljson import badgerfish # == xmljson.BadgerFish() >>> from xmljson import gdata # == xmljson.GData() >>> from xmljson import parker # == xmljson.Parker()
Installation
This is a pure-Python package built for Python 2.6+ and Python 3.0+. To set up:
pip install xmljson
Roadmap
- Test cases for Unicode
- Support for namespaces and namespace prefixes
History
0.1.4 (2015-09-20)
- Fix GData.etree() conversion of attributes. (They were ignored. They should be added as-is.)
0.1.3 (2015-09-20)
- Simplify {'p': {'$': 'text'}} to {'p': 'text'} in BadgerFish and GData conventions.
- Add test cases for .etree() – mainly from the MDN JXON article.
- dict_type/list_type do not need to inherit from dict/list
0.1.2 (2015-09-18)
- Always use the dict_type class to create dictionaries (which defaults to OrderedDict to preserve order of keys)
- Update documentation, test cases
- Remove support for Python 2.6 (since we need collections.Counter)
- Make the Travis CI build pass
0.1.1 (2015-09-18)
- Convert true, false and numeric values from strings to Python types
- xmljson.parker.data() is compliant with Parker convention (bugs resolved)
0.1.0 (2015-09-15)
- Two-way conversions via BadgerFish, GData and Parker conventions.
- First release on PyPI.
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