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A Python Document-Object Mapper for working with MongoDB

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Project description

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, a user guide and an API reference.

Installation

If you have setuptools you can use easy_install -U mongoengine. Otherwise, you can download the source from GitHub 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

Contributing

The source is available on GitHub - to contribute to the project, fork it on GitHub and send a pull request, all contributions and suggestions are welcome!

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