Metadata-Version: 1.1
Name: wpparser
Version: 1.0.2
Summary: Parse WordPress export files into dictionaries.
Home-page: https://github.com/marteinn/wpparser
Author: Martin Sandström
Author-email: martin@marteinn.se
License: Apache 2.0
Description: 
        wpparser parses wordpress export files and returns them as well formatted
        python dictionaries.
        
        ---
        
        # wpparser
        
        wpparser parses wordpress export files and returns them as well formatted python dictionaries, for python 2.7+.
        
        ## How it works
        
        The library uses ElementTree to traverse through the export file.
        
        ## Usage
        
        	import wpparser
        
        	data = wpparser.parse("./blog.wordpress.2014-09-26.xml")
        	>>> {"blog": {"tagline": "Tagline",...
        
        
        ## What it returns
        
        It returns a well formatted dict, containing the following datatypes:
        
        - Blog: The general blog information, such as tagline, site url.
        - Authors: A list with the different authors.
        - Categories: The categories in use, organized as a nested array.
        - Tags: A list with the different tags.
        - Posts: An array that contains all posts, the post object might also contain the different comments belonging to the post.
        
        ### Example:
        
        
        	{
                "blog": {
                    "tagline": "Tagline",
                    "site_url": "http://marteinn.se/blog",
                    "blog_url": "http://marteinn.se/blog",
                    "language": "en-US",
                    "title": "Marteinn / Blog"
                },
                "authors: [{
                    "login": "admin",
                    "last_name": None,
                    "display_name": "admin",
                    "email": "martin@marteinn.se",
                    "first_name": None}
                ],
                "categories": [{
                    "parent": None,
                    "term_id": "3",
                    "name": "Action Script",
                    "nicename": "action-script",
                    "children": [{
                        "parent": "action-script",
                        "term_id": "20",
                        "name": "Flash related",
                        "nicename": "flash-related",
                        "children": []
                    }]
                }],
                "tags": [{
                	"term_id": "1",
                	"slug": "bash",
                	"name": "Bash"
                }],
                "posts": [{
                    "creator": "admin",
                    "excerpt": None,
                    "post_date_gmt": "2014-09-22 20:10:40",
                    "post_date": "2014-09-22 21:10:40",
                    "post_type": "post",
                    "menu_order": "0",
                    "guid": "http://marteinn.se/blog/?p=828",
                    "title": "Post Title",
                    "comments": [{
                        "date_gmt": "2014-09-24 23:08:31",
                        "parent": "0",
                        "date": "2014-09-25 00:08:31",
                        "id": "85929",
                        "user_id": "0",
                        "author": u"Author",
                        "author_email": None,
                        "author_ip": "111.111.111.111",
                        "approved": "1",
                        "content": u"Comment title",
                        "author_url": "http://example.com",
                        "type": "pingback"
                    }],
                    "content": "Text",
                    "post_parent": "0",
                    "post_password": None,
                    "status": "publish",
                    "description": None,
                    "tags": ["tag"],
                    "ping_status": "open",
                    "post_id": "1",
                    "link": "http://www.marteinn.se/blog/slug/",
                    "pub_date": "Mon, 22 Sep 2014 20:10:40 +0000",
                    "categories": ["category"],
                    "is_sticky": "0",
                    "post_name": "slug"
                }]
        	}
        
        ## Installation
        wpparser can easily be installed through pip.
        
            $ pip install wpparser
        
        
        ## Contributing
        
        Want to contribute? Awesome. Just send a pull request.
        
        
        ## License
        
        wpparser is released under the [MIT License](http://www.opensource.org/licenses/MIT).
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
