Introducing MongoEngine
MongoEngine is a Document-Object Mapper (think ORM, but for document databases) for working with MongoDB from Python. It uses a simple declarative API, similar to that of the Django ORM.
So what does it do?
Here’s a brief run-down of some of the main features of MongoEngine:
- Document schema declaration and validation
- An elegant querying syntax, similar to that of Django
- Document inheritance, with support for “polymorphic querying”
- Aggregation methods, such as
sum
andaverage
- Advanced query condition combination using
Q
objects - Session and authentication backends for Django
Show me the code!
To define a document, just inherit from the Document
class and add some fields:
class BlogPost(Document):
title = StringField(required=True)
slug = StringField(required=True, max_length=250)
content = StringField(required=True)
date = DateTimeField(default=datetime.now, required=True)
tags = ListField(StringField())
To save documents to the database, just instantiate a Document
object, fill in the fields, and call save
:
post = BlogPost(title='Introducing MongoEngine', slug='introducing-mongoengine')
post.content = 'MongoEngine is a Document-Object Mapper...'
post.tags = ['mongodb', 'mongoengine']
post.save()
To find documents, use the objects
attribute of a Document
subclass:
latest_posts = BlogPost.objects.order_by('-date')[:25]
mongodb_posts = BlogPost.objects(tags='mongodb')
How about a tag cloud? Simple:
# Get a dictionary with tags as the keys and frequencies as the values
tag_freqs = BlogPost.objects.item_frequencies('tag')
Every blog need comments, right?
class Comment(EmbeddedDocument):
author = StringField()
content = StringField(required=True)
date = DateTimeField()
# Modify the previously defined BlogPost document
class BlogPost(Document):
...
comments = ListField(EmbeddedDocumentField(Comment))
...
# Let's add a comment, this is performed as an atomic operation
comment = Comment(author=form['author'], content=form['content'])
BlogPost.objects(id=post_id).update(push__comments=comment)
I could go on, but I’ll keep this post short and to the point. For more information, see the documentation. The source is available on GitHub, fork it and have a play!