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A MongoDB object-document mapping layer for Python

Project description


MongoMonkey is a simple ODM for mongo.
The key idea was to use standard pymongo api, without overriding it.

Example of usage:

from pymongo import Connection
from mongomonkey import Model, Field, list_of

class Book(Model):
title = Field(unicode)
page_count = Field(int)

class Author(Model):
name = Field(unicode)
books = Field(list_of(Book))

connection = Connection()
db = connection.test_database
collection = db.test_collection

book1 = Book(title=u"Alice's Adventures in Wonderland", page_count=191)
author = Author(name=u"Lewis Carroll")
# Accessing by field attribute
author.books = [book1]
# Accessing like dict item
author['books'].append({u"title": u"A Tangled Tale", u"page_count": 152})

# Saving object # By default pymongo would attach '_id' to this document.

# Retrieving object
author = collection.find_one(as_class=Author)

Recursive embedding:

from mongomonkey import Model, Field, list_of

class Node(Model):
title = Field(unicode)
# You can use 'self' to point on currently creating Model
child1 = Field('self')
# Also you can use a name of a model to point on it
child2 = Field('Node')

# Printing instance of Node
print Node(title=u"root", child1=Node(title=u"Child1"), child2=Node(title=u"Child2"))

Developing and Contributing

If you have any question, ideas or improvements feel free to fork or add an issue
on github

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