nanomongo 0.2

Minimal Python ODM for MongoDB

If you like using pymongo native api but often find yourself subclassing dict to add some extra logic and while you’re at it, why not add some field validations right? And index definitions, and pymongo.Collection wrappers, and … (you get the idea).

Features

• single format Field definitions with type checking and a few common options such as required, default, auto_update

• pymongo-identical index definitions

• optional dot_notation

• assignment and deletion (delta) tracking for '$set' and '$unset' and atomic updates; you either insert or update

• '$addToSet' on Document

• upcoming '$push' '$pull' funtionality

note: nanomongo is in alpha stage and in development, documentation is in progress as well:

# rough example
import pymongo
from nanomongo import Field, BaseDocument, Index

client = pymongo.MongoClient()

class MyDoc(BaseDocument, dot_notation=True, client=client, db='dbname'):
    foo = Field(str)
    bar = Field(int, required=False)

    __indexes__ = [
        Index('foo'),
        Index([('bar', 1), ('foo', -1)], unique=True),
    ]

doc = MyDoc(foo='L33t')
doc.bar = 42
doc.insert()

Doc.find_one({'foo': 'L33t'})

nanomongo is written for Python3 and I intend to support both pymongo & motor transparently under the hood.

Contributions and insight are welcome!

Author:

Eren Güven (GitHub, Twitter)

License:

Apache Software License