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Yet another MongoDB ORM for Python. Signals included!

Project description

Yet another MongoDB ORM for Python. Signals included!

Still in development, feedback is highly appreciated.

Usage Examples

Installation:

pip install miongo

Models

Here’s a simple example of model usage:

#!/usr/bin/env python

from miongo import models

# this is always required
# mingo do not implement mongodb connection, you should do that
models.mongodb_database = pymongo.MongoClient().test_database


class TestModel(models.Model):
    _collection = 'testmodel'

    uid = models.Field()
    name = models.Field()
    enabled = models.Field(default=True)

# creating and saving
model = TestModel()
model.uid = 1
model.name = 'Antony'
model.save()

# finding in db
model = TestModel()
model.find({'uid': 1})
print model.uid  # 1
print model.name  # Antony
print model.enabled  # True

Signals

Can be used with your models too. Here’s an example of implementing before and after save signals:

#!/usr/bin/env python

from miongo import signals, models

# signals.SignalEmitterMixin is important here
# it also can be used with other model classes
class TestModel(models.Model, signals.SignalEmitterMixin):
    _collection = 'testmodel'

    BEFORE_SAVE = 0
    AFTER_SAVE = 1
    AVAILABLE_SIGNALS = [BEFORE_SAVE, AFTER_SAVE]

    name = models.Field()

    def save(self):
        self.emit_signal(self.BEFORE_SAVE)
        print 'Saving now!'
        super(TestModel, self).save()
        self.emit_signal(self.AFTER_SAVE)

# let's define function that will be used by signal
# you may use instance to modify object
def signal_function(signal_type, instance):
    if signal_type == TestModel.BEFORE_SAVE:
        print 'Before save'
    elif signal_type == TestModel.AFTER_SAVE:
        print 'After save'

model = TestModel()

TestModel.connect_to_signal(TestModel.BEFORE_SAVE, signal_function)
TestModel.connect_to_signal(TestModel.AFTER_SAVE, signal_function)

model.save()

# output is:
#
# Before save
# Saving now!
# After save

(Note signals can be connected to the instance too)

Credits

Author: Anton Kasyanov (antony.kasyanov@gmail.com)

Special thanks to: Ruslan Diduk, Igor Emelyanov

Project details


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