nanomongo

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

aragaer/nanomongo

nanomongo

Features