Skip to main content

PyMODM is a generic ODM on top of PyMongo.

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

Documentation View build status Join the chat at https://gitter.im/mongodb/pymodm

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-user list on Google Groups.

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:

  • 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 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.EmbeddedDocumentListField('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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymodm-0.4.2.tar.gz (55.2 kB view details)

Uploaded Source

Built Distributions

pymodm-0.4.2-py3-none-any.whl (48.2 kB view details)

Uploaded Python 3

pymodm-0.4.2-py2-none-any.whl (48.2 kB view details)

Uploaded Python 2

File details

Details for the file pymodm-0.4.2.tar.gz.

File metadata

  • Download URL: pymodm-0.4.2.tar.gz
  • Upload date:
  • Size: 55.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.7.4

File hashes

Hashes for pymodm-0.4.2.tar.gz
Algorithm Hash digest
SHA256 dce5404128150df5a6598a916bbbeb021e36624d16e2624f34e6e94dffac4501
MD5 39d6f5b53097d6880c47f8f303997066
BLAKE2b-256 0eac780dc738971216d7d1a19d8c263efde66b0e1e8398687f7773dbe4abf723

See more details on using hashes here.

File details

Details for the file pymodm-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: pymodm-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 48.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.7.4

File hashes

Hashes for pymodm-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bad93799bde373b866e9c36a4087fd1a13a9f63418100d7a4ce4f3266d8ca06a
MD5 99593ff820a95cc81c17f6d827afb067
BLAKE2b-256 9b0e4997020e6958b8fd61b22f26f93ad5ef237ac9fd785ca2a3badd0d7dd633

See more details on using hashes here.

File details

Details for the file pymodm-0.4.2-py2-none-any.whl.

File metadata

  • Download URL: pymodm-0.4.2-py2-none-any.whl
  • Upload date:
  • Size: 48.2 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.7.4

File hashes

Hashes for pymodm-0.4.2-py2-none-any.whl
Algorithm Hash digest
SHA256 0a83ebf43c480231198d1ae5ece3f8c773544026b257e231b6892b1c5d4ffe79
MD5 f48d962869e381bb9423ea14fba14916
BLAKE2b-256 aaf391a41439263c55c421d95ee5c3d0846d1779070959b67c69c3f9f01234af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page