MongoFrames is a fast unobtrusive MongoDB ODM for Python designed to fit into a workflow not dictate one.
**Core features include:**
- Simple schema definitions for document and embedded documents
- Dot notation access to document fields
- Friendly queries
- Fast dereferencing & multi-tiered projections
- Pagination support
- Event handling for key document actions (e.g insert, update, delete)
Based on the "ORM" category.
Alternatively, view MongoFrames alternatives based on common mentions on social networks and blogs.
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MongoFrames is a fast unobtrusive MongoDB ODM for Python designed to fit into a workflow not dictate one. Documentation is available at MongoFrames.com and includes:
We recommend you use virtualenv or virtualenvwrapper to create a virtual environment for your install. There are several options for installing MongoFrames:
pip install MongoFrames (recommended)easy_install MongoFramespython setup.py installfrom mongoframes import *
# Define some document frames (a.k.a models)
class Dragon(Frame):
_fields = {'name', 'loot'}
class Item(Frame):
_fields = {'desc', 'value'}
# Create a dragon and loot to boot
Item(desc='Sock', value=1).insert()
Item(desc='Diamond', value=100).insert()
Dragon(name='Burt', loot=Item.many()).insert()
# Have Burt boast about his loot
burt = Dragon.one(Q.name == 'Burt', projection={'loot': {'$ref': Item}})
for item in burt.loot:
print('I have a {0.name} worth {0.value} crown'.format(item))
To test the library you'll need to be running a local instance of MongoDB on the standard port.
To run the test suite: py.test
To run the test suite on each supported version of Python: tox
MongoFrames is developed using a number of tools & services provided for free by nice folks at organizations committed to supporting open-source projects including GitHub and Travis CI.
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