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Metadata-Version: 1.1
Name: mongoengine
Version: 0.5.2
Summary: A Python Document-Object Mapper for working with MongoDB
Home-page: http://hmarr.com/mongoengine/
Author: Harry Marr
Author-email: harry.marr@{nospam}gmail.com
License: MIT
Description: ===========
        MongoEngine
        ===========
        :Info: MongoEngine is an ORM-like layer on top of PyMongo.
        :Author: Harry Marr (http://github.com/hmarr)
        
        About
        =====
        MongoEngine is a Python Object-Document Mapper for working with MongoDB. 
        Documentation available at http://hmarr.com/mongoengine/ - there is currently 
        a `tutorial <http://hmarr.com/mongoengine/tutorial.html>`_, a `user guide 
        <http://hmarr.com/mongoengine/userguide.html>`_ and an `API reference
        <http://hmarr.com/mongoengine/apireference.html>`_.
        
        Installation
        ============
        If you have `setuptools <http://peak.telecommunity.com/DevCenter/setuptools>`_
        you can use ``easy_install -U mongoengine``. Otherwise, you can download the
        source from `GitHub <http://github.com/hmarr/mongoengine>`_ and run ``python
        setup.py install``.
        
        Dependencies
        ============
        - pymongo 1.1+
        - sphinx (optional - for documentation generation)
        
        Examples
        ========
        Some simple examples of what MongoEngine code looks like::
        
            class BlogPost(Document):
                title = StringField(required=True, max_length=200)
                posted = DateTimeField(default=datetime.datetime.now)
                tags = ListField(StringField(max_length=50))
        
            class TextPost(BlogPost):
                content = StringField(required=True)
        
            class LinkPost(BlogPost):
                url = StringField(required=True)
        
            # Create a text-based post
            >>> post1 = TextPost(title='Using MongoEngine', content='See the tutorial')
            >>> post1.tags = ['mongodb', 'mongoengine']
            >>> post1.save()
        
            # Create a link-based post
            >>> post2 = LinkPost(title='MongoEngine Docs', url='hmarr.com/mongoengine')
            >>> post2.tags = ['mongoengine', 'documentation']
            >>> post2.save()
        
            # Iterate over all posts using the BlogPost superclass
            >>> for post in BlogPost.objects:
            ...     print '===', post.title, '==='
            ...     if isinstance(post, TextPost):
            ...         print post.content
            ...     elif isinstance(post, LinkPost):
            ...         print 'Link:', post.url
            ...     print
            ...
            === Using MongoEngine ===
            See the tutorial
        
            === MongoEngine Docs ===
            Link: hmarr.com/mongoengine
        
            >>> len(BlogPost.objects)
            2
            >>> len(HtmlPost.objects)
            1
            >>> len(LinkPost.objects)
            1
        
            # Find tagged posts
            >>> len(BlogPost.objects(tags='mongoengine'))
            2
            >>> len(BlogPost.objects(tags='mongodb'))
            1
        
        Tests
        =====
        To run the test suite, ensure you are running a local instance of MongoDB on
        the standard port, and run ``python setup.py test``.
        
        Community
        =========
        - `MongoEngine Users mailing list 
          <http://groups.google.com/group/mongoengine-users>`_
        - `MongoEngine Developers mailing list 
          <http://groups.google.com/group/mongoengine-dev>`_
        - `#mongoengine IRC channel <irc://irc.freenode.net/mongoengine>`_
        
        Contributing
        ============
        The source is available on `GitHub <http://github.com/hmarr/mongoengine>`_ - to
        contribute to the project, fork it on GitHub and send a pull request, all
        contributions and suggestions are welcome!
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Libraries :: Python Modules