Minimal Python ODM for MongoDB
Project description
nanomongo is a minimal MongoDB Object-Document Mapper for Python. It does not attempt to be a feature-complete ODM but if you like using pymongo api with python dictionaries and often find yourself writing validators and pymongo.Collection wrappers, nanomongo might suit your needs.
nanomongo has full test coverage.
Quick Links: Source (github) - Documentation (rtd) - Packages (PyPi)
Version 0.4: Utility methods dbref_field_getters, BaseDocument.get_dbref and Bugfix Python23 text type compatibility
Version 0.3: nanomongo is now python2 compatible (with syntactic difference when defining your Document, refer to Documentation)
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
# 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 Python23 compatible and I intend to support both pymongo & motor transparently under the hood.
Contributions and insight are welcome!
