An asynchronous ODM similar to PyMODM on top of Motor an asynchronous
Python MongoDB driver. Works on Python 3.5
and up. Some features
such as asynchronous comprehensions require at least Python 3.6
. aiomongodel
can be used with asyncio as well as with Tornado.
Install aiomongodel using pip:
pip install aiomongodel
Read the docs.
To create a model just create a new model class, inherit it from
aiomongodel.Document
class, list all the model fields and place
a Meta
class with model meta options. To create a subdocument, create
a class with fields and inherit it from aiomongodel.EmbeddedDocument
.
# models.py
from datetime import datetime
from pymongo import IndexModel, DESCENDING
from aiomongodel import Document, EmbeddedDocument
from aiomongodel.fields import (
StrField, BoolField, ListField, EmbDocField, RefField, SynonymField,
IntField, FloatField, DateTimeField, ObjectIdField)
class User(Document):
_id = StrField(regex=r'[a-zA-Z0-9_]{3, 20}')
is_active = BoolField(default=True)
posts = ListField(RefField('models.Post'), default=lambda: list())
quote = StrField(required=False)
# create a synonym field
name = SynonymField(_id)
class Meta:
collection = 'users'
class Post(Document):
# _id field will be added automatically as
# _id = ObjectIdField(defalut=lambda: ObjectId())
title = StrField(allow_blank=False, max_length=50)
body = StrField()
created = DateTimeField(default=lambda: datetime.utcnow())
views = IntField(default=0)
rate = FloatField(default=0.0)
author = RefField(User, mongo_name='user')
comments = ListField(EmbDocField('models.Comment'), default=lambda: list())
class Meta:
collection = 'posts'
indexes = [IndexModel([('created', DESCENDING)])]
default_sort = [('created', DESCENDING)]
class Comment(EmbeddedDocument):
_id = ObjectIdField(default=lambda: ObjectId())
author = RefField(User)
body = StrField()
# `s` property of the fields can be used to get a mongodb string name
# to use in queries
assert User._id.s == '_id'
assert User.name.s == '_id' # name is synonym
assert Post.title.s == 'title'
assert Post.author.s == 'user' # field has mongo_name
assert Post.comments.body.s == 'comments.body' # compound name
from motor.motor_asyncio import AsyncIOMotorClient
async def go(db):
# create model's indexes
await User.q(db).create_indexes()
# CREATE
# create using save
# Note: if do_insert=False (default) save performs a replace
# with upsert=True, so it does not raise if _id already exists
# in db but replace document with that _id.
u = await User(name='Alexandro').save(db, do_insert=True)
assert u.name == 'Alexandro'
assert u._id == 'Alexandro'
assert u.is_active is True
assert u.posts == []
assert u.quote is None
# create using create
u = await User.create(db, name='Francesco')
# using query
u = await User.q(db).create(name='Ihor', is_active=False)
# READ
# get by id
u = await User.q(db).get('Alexandro')
assert u.name == 'Alexandro'
# find
users = await User.q(db).find({User.is_active.s: True}).to_list(10)
assert len(users) == 2
# using for loop
users = []
async for user in User.q(db).find({User.is_active.s: False}):
users.append(user)
assert len(users) == 1
# in Python 3.6 an up use async comprehensions
users = [user async for user in User.q(db).find({})]
assert len(users) == 3
# UPDATE
u = await User.q(db).get('Ihor')
u.is_active = True
await u.save(db)
assert (await User.q(db).get('Ihor')).is_active is True
# using update (without data validation)
# object is reloaded from db after update.
await u.update(db, {'$push': {User.posts.s: ObjectId()}})
# DELETE
u = await User.q(db).get('Ihor')
await u.delete(db)
loop = asyncio.get_event_loop()
client = AsyncIOMotorClient(io_loop=loop)
db = client.aiomongodel_test
loop.run_until_complete(go(db))
Use model's validate
method to validate model's data. If
there are any invalid data an aiomongodel.errors.ValidationError
will raise.
Note
Creating model object or assigning it with invalid data does not raise errors! Be careful while saving model without validation.
class Model(Document):
name = StrField(max_length=7)
value = IntField(gt=5, lte=13)
data = FloatField()
def go():
m = Model(name='xxx', value=10, data=1.6)
# validate data
# should not raise any error
m.validate()
# invalid data
# note that there are no errors while creating
# model with invalid data
invalid = Model(name='too long string', value=0)
try:
invalid.validate()
except aiomongodel.errors.ValidationError as e:
assert e.as_dict() == {
'name': 'length is greater than 7',
'value': 'value should be greater than 5',
'data': 'field is required'
}
# using translation - you can translate messages
# to your language or modify them
translation = {
"field is required": "This field is required",
"length is greater than {constraint}": ("Length of the field "
"is greater than "
"{constraint} characters"),
# see all error messages in ValidationError docs
# for missed messages default messages will be used
}
assert e.as_dict(translation=translation) == {
'name': 'Length of the field is greater than 7 characters',
'value': 'value should be greater than 5',
'data': 'This field is required'
}
async def go(db):
# find returns a cursor
cursor = User.q(db).find({}, {'_id': 1}).skip(1).limit(2)
async for user in cursor:
print(user.name)
assert user.is_active is None # we used projection
# find one
user = await User.q(db).find_one({User.name.s: 'Alexandro'})
assert user.name == 'Alexandro'
# update
await User.q(db).update_many(
{User.is_active.s: True},
{'$set': {User.is_active.s: False}})
# delete
await User.q(db).delete_many({})
A hierarchy of models can be built by inheriting one model from another.
A aiomongodel.Document
class should be somewhere in hierarchy for model
adn aiomongodel.EmbeddedDocument
for subdocuments.
Note that fields are inherited but meta options are not.
class Mixin:
value = IntField()
class Parent(Document):
name = StrField()
class Child(Mixin, Parent):
# also has value and name fields
rate = FloatField()
class OtherChild(Child):
# also has rate and name fields
value = FloatField() # overwrite value field from Mixin
class SubDoc(Mixin, EmbeddedDocument):
# has value field
pass
class Mixin:
is_active = BoolField(default=True)
class User(Mixin, Document):
_id = StrField()
role = StrField()
name = SynonymField(_id)
class Meta:
collection = 'users'
@classmethod
def from_mongo(cls, data):
# create appropriate model when loading from db
if data['role'] == 'customer':
return super(User, Customer).from_mongo(data)
if data['role'] == 'admin':
return super(User, Admin).from_mongo(data)
class Customer(User):
role = StrField(default='customer', choices=['customer']) # overwrite role field
address = StrField()
class Meta:
collection = 'users'
default_query = {User.role.s: 'customer'}
class Admin(User):
role = StrField(default='admin', choices=['admin']) # overwrite role field
rights = ListField(StrField(), default=lambda: list())
class Meta:
collection = 'users'
default_query = {User.role.s: 'admin'}
The library is licensed under MIT License.