GitHub - mongodb/pymodm: A Pythonic, object-oriented interface for working with MongoDB. (original) (raw)

PyMODM

MongoDB has paused the development of PyMODM. If there are any users who want to take over and maintain this project, or if you just have questions, please respond to this forum post.

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A generic ODM around PyMongo, the MongoDB Python driver. PyMODM works on Python 2.7 as well as Python 3.3 and up. To learn more, you can browse the official documentation or take a look at some examples.

Why PyMODM?

PyMODM is a "core" ODM, meaning that it provides simple, extensible functionality that can be leveraged by other libraries to target platforms like Django. At the same time, PyMODM is powerful enough to be used for developing applications on its own. Because MongoDB engineers are involved in developing and maintaining the project, PyMODM will also be quick to adopt new MongoDB features.

Support / Feedback

For issues with, questions about, or feedback for PyMODM, please look into our support channels. Please do not email any of the PyMODM developers directly with issues or questions - you're more likely to get an answer on the MongoDB Community Forums.

Bugs / Feature Requests

Think you’ve found a bug? Want to see a new feature in PyMODM? Please open a case in our issue management tool, JIRA:

Bug reports in JIRA for all driver projects (e.g. PYMODM, PYTHON, JAVA) and the Core Server (i.e. SERVER) project are public.

How To Ask For Help

Please include all of the following information when opening an issue:

Security Vulnerabilities

If you’ve identified a security vulnerability in a driver or any other MongoDB project, please report it according to the instructions here.

Example

Here's a basic example of how to define some models and connect them to MongoDB:

from pymongo import TEXT from pymongo.operations import IndexModel from pymodm import connect, fields, MongoModel, EmbeddedMongoModel

Connect to MongoDB first. PyMODM supports all URI options supported by

PyMongo. Make sure also to specify a database in the connection string:

connect('mongodb://localhost:27017/myApp')

Now let's define some Models.

class User(MongoModel): # Use 'email' as the '_id' field in MongoDB. email = fields.EmailField(primary_key=True) fname = fields.CharField() lname = fields.CharField()

class BlogPost(MongoModel): # This field references the User model above. # It's stored as a bson.objectid.ObjectId in MongoDB. author = fields.ReferenceField(User) title = fields.CharField(max_length=100) content = fields.CharField() tags = fields.ListField(fields.CharField(max_length=20)) # These Comment objects will be stored inside each Post document in the # database. comments = fields.EmbeddedModelListField('Comment')

class Meta:
    # Text index on content can be used for text search.
    indexes = [IndexModel([('content', TEXT)])]

This is an "embedded" model and will be stored as a sub-document.

class Comment(EmbeddedMongoModel): author = fields.ReferenceField(User) body = fields.CharField() vote_score = fields.IntegerField(min_value=0)

Start the blog.

We need to save these objects before referencing them later.

han_solo = User('mongoblogger@reallycoolmongostuff.com', 'Han', 'Solo').save() chewbacca = User( 'someoneelse@reallycoolmongostuff.com', 'Chewbacca', 'Thomas').save()

post = BlogPost( # Since this is a ReferenceField, we had to save han_solo first. author=han_solo, title="Five Crazy Health Foods Jabba Eats.", content="...", tags=['alien health', 'slideshow', 'jabba', 'huts'], comments=[ Comment(author=chewbacca, body='Rrrrrrrrrrrrrrrr!', vote_score=42) ] ).save()

Find objects using familiar MongoDB-style syntax.

slideshows = BlogPost.objects.raw({'tags': 'slideshow'})

Only retrieve the 'title' field.

slideshow_titles = slideshows.only('title')

u'Five Crazy Health Foods Jabba Eats.'

print(slideshow_titles.first().title)