pymodm 0.1.0

PyMODM is a generic ODM on top of PyMongo.

A generic ODM around PyMongo, the MongoDB Python driver. Its goal is to provide an easy, object-oriented interface to MongoDB documents. 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.

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-user list on Google Groups.

Bugs / Feature Requests

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

• Create an account and login.

• Navigate to the PYMODM project.

• Click Create Issue - Please provide as much information as possible about the issue type and how to reproduce it.

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:

• Detailed steps to reproduce the problem, including full traceback, if possible.

• The exact python version used, with patch level:

  $ python -c "import sys; print(sys.version)"

• The exact version of PyMODM used, with patch level:

  $ python -c "import pymodm; print(pymodm.version)"

• The PyMongo version used, with patch level:

  $ python -c "import pymongo; print(pymongo.version)"

• The operating system and version (e.g. Windows 7, OSX 10.8, …)

• Web framework or asynchronous network library used, if any, with version (e.g. Django 1.7, mod_wsgi 4.3.0, gevent 1.0.1, Tornado 4.0.2, …)

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 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.StringField(max_length=20))
    # These Comment objects will be stored inside each Post document in the
    # database.
    comments = fields.EmbeddedDocumentListField('Comment')


# 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('[e-mail]', 'Han', 'Solo').save()
chewbacca = User(
    '[e-mail]', '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)