Skip to main content

The most idiomatic and friendly-yet-powerful way to use MongoDB with Python

Project description

Mongo-Thingy

PyPI Supported Python Versions License Code style
Tests Tests Docs

Mongo-Thingy is the most idiomatic and friendly-yet-powerful way to use MongoDB with Python.

It is an "Object-Document Mapper" that gives you full advantage of MongoDB schema-less design by not asking you to define schemas in your code.

What you'll get:

  • a simple and robust pure-Python code base, with 100% coverage and few dependencies;
  • PyMongo query language - no need to learn yet another one;
  • both sync and async support! choose what suits you best;
  • Thingy views - control what to show, and create fields based on other fields;
  • swappable backend - wanna use SQLite behind the scenes? well, you can;
  • versioning (optional) - rollback to any point in any thingy history;
  • and more!

Compatibility

We support all Python and MongoDB versions supported by PyMongo, namely:

  • CPython 3.7+ and PyPy3.7+
  • MongoDB 3.6, 4.0, 4.2, 4.4, and 5.0.

As a backend, Mongo-Thingy supports the following libraries:

Install

pip install mongo-thingy

Examples

First steps

Connect, insert and find thingies

>>> from mongo_thingy import connect, Thingy
>>> connect("mongodb://localhost/test")

>>> class User(Thingy):
...     pass

>>> user = User({"name": "Mr. Foo", "age": 42}).save()
>>> User.count_documents()
1
>>> User.find_one({"age": 42})
User({'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 42})

In an AsyncIO (or Tornado) environment, use the asynchronous class instead:

>>> from mongo_thingy import connect, AsyncThingy
>>> connect("mongodb://localhost/test")

>>> class User(AsyncThingy):
...     pass

>>> user = await User({"name": "Mr. Foo", "age": 42}).save()
>>> await User.count_documents()
1
>>> await User.find_one({"age": 42})
User({'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 42})

To use another backend than the default ones, just pass its client class with client_cls:

>>> import mongomock
>>> connect(client_cls=mongomock.MongoClient)

Update a thingy

>>> user.age
42
>>> user.age = 1337
>>> user.save()
User({'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 1337})

Thingy views power

Complete information with properties

>>> class User(Thingy):
...     @property
...     def username(self):
...         return "".join(char for char in self.name if char.isalpha())

>>> User.add_view(name="everything", defaults=True, include="username")
>>> user = User.find_one()
>>> user.view("everything")
{'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 1337, 'username': 'MrFoo'}

Hide sensitive stuff

>>> User.add_view(name="public", defaults=True, exclude="password")
>>> user.password = "t0ps3cr3t"
>>> user.view()
{'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 1337, 'password': 't0ps3cr3t'}
>>> user.view("public")
{'_id': ObjectId(...), 'name': 'Mr. Foo', 'age': 1337}

Only use certain fields/properties

>>> User.add_view(name="credentials", include=["username", "password"])
>>> user.view("credentials")
{'username': 'MrFoo', 'password': 't0ps3cr3t'}

Apply views on cursors

>>> cursor = User.find()
>>> for credentials in cursor.view("credentials"):
...     print(credentials)
{'username': 'MrFoo', 'password': 't0ps3cr3t'}
{'username': 'MrsBar', 'password': '123456789'}
...

And if your cursor is already exhausted, you can still apply a view!

>>> users = User.find().to_list(None)
>>> for credentials in users.view("credentials"):
...     print(credentials)
{'username': 'MrFoo', 'password': 't0ps3cr3t'}
{'username': 'MrsBar', 'password': '123456789'}
...

Versioning

>>> from mongo_thingy.versioned import Versioned

>>> class Article(Versioned, Thingy):
...     pass

>>> article = Article(content="Cogito ergo sum")
>>> article.version
0

>>> article.save()
Article({'_id': ObjectId('...'), 'content': 'Cogito ergo sum'})
>>> article.version
1

>>> article.content = "Sum ergo cogito"
>>> article.save()
Article({'_id': ObjectId('...'), 'content': 'Sum ergo cogito'})
>>> article.version
2

>>> article.revert()
Article({'_id': ObjectId('...'), 'content': 'Cogito ergo sum'})
>>> article.version
3

Database/collection "discovery"

Default behaviour

>>> class AuthenticationGroup(Thingy):
...     pass

>>> connect("mongodb://localhost/")
>>> AuthenticationGroup.collection
Collection(Database(MongoClient(host=['localhost:27017'], ...), 'authentication'), 'group')

Use mismatching names for Thingy class and database collection

You can either specify the collection name:

>>> class Foo(Thingy):
...   collection_name = "bar"

or the collection directly:

>>> class Foo(Thingy):
...   collection = db.bar

You can then check what collection is being used with:

>>> Foo.collection
Collection(Database(MongoClient('localhost', 27017), 'database'), 'bar')

Indexes

Create an index

>>> User.create_index("email", sparse=True, unique=True)

Add one or more indexes, create later

>>> User.add_index("email", sparse=True, unique=True)
>>> User.add_index("username")

>>> User.create_indexes()

Create all indexes of all thingies at once

>>> from mongo_thingy import create_indexes
>>> create_indexes()

Dealing with camelCase data

>>> from mongo_thingy.camelcase import CamelCase

>>> class SystemUser(CamelCase, Thingy):
...     collection_name = "systemUsers"

>>> user = SystemUser.find_one()
>>> user.view()
{'_id': ObjectId(...), 'firstName': 'John', 'lastName': 'Doe'}

>>> user.first_name
'John'
>>> user.first_name = "Jonny"
>>> user.save()
SystemUser({'_id': ObjectId(...), firstName: 'Jonny', lastName: 'Doe'})

Tests

To run the tests suite:

  • make sure you have a MongoDB database running on localhost:27017 (you can spawn one with docker-compose up -d);
  • install developers requirements with pip install -r requirements.txt;
  • run pytest.

Sponsors

    Numberly         Refty    

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

Mongo-Thingy-0.17.2.tar.gz (9.3 kB view hashes)

Uploaded Source

Built Distribution

Mongo_Thingy-0.17.2-py3-none-any.whl (9.8 kB view hashes)

Uploaded Python 3

Supported by

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