Skip to main content

Mokito is an asynchronous ORM for working with MongoDB inside a Tornado app

Project description

# mokito
An asynchronous ORM for accessing MongoDB in Tornado

## What is mokito?
(MOngodb + [mongoKIt](https://github.com/namlook/mongokit) + TOrnado) is an asynchronous toolkit for working with ``mongodb`` inside a ``tornado`` app, like ``mongokit``. Mokito has a pure implementation of python + tornado and only depends on tornado and bson (provided by pymongo)

## Why not pymongo?
[PyMongo](http://api.mongodb.org/python/current/) is the recommended way to work with MongoDB in Python, but isn't asynchronous and not run inside tornado's IOLoop. If you use pymongo you won't take the advantages of tornado.

## Why not motor?
[Motor](http://emptysquare.net/motor/) wraps PyMongo and makes it async with greenlet. This is a great project, but it uses greenlet. If you can use greenlets why not use gevent instead of tornado? PyMongo already works with gevent. If you are using a very powerfull non-blocking web server with a pure python code, you'll probably want to work with a pure tornado driver for accessing mongo.

## Features
* validation and conversion of data to the specified type
* support for unstructured data
* dot notation
* control over data presentation
* control over data validation
* mapping onto the same document of models with different schemes

## Installing
```bash
pip install pymomgo tornado
pip install mokito
```

## Simple usage
```python
from tornado.web import RequestHandler
from tornado.gen import coroutine

import mokito


class MainHandler(RequestHandler):

def initialize(self):
self.db = mokito.Client("db_name", "mongodb://127.0.0.1:27017")

@gen.coroutine
def get(self, user_id):
user = yield self.db.user.find_one(user_id)
self.render("index.html", user=user)
```

## Using ORM
A Document declaration look as follows:

```python
from mokito import Document

class BlogPost(Document):
fields = {
'title':str,
'body':str,
'author':str
}

blogpost = BlogPost(title='my title', body='a body', author='unknown', foo='bar')
blogpost['author'] = 'me'
yield blogpost.save()
```
MongoDB in the collection "blog_post" will write this document:
```javascript
{"_id": ObjectId("..."), "body": "a body", "author": "me", "title": "my title"}
```
The field "foo" will not be saved. More about this you can read in [wiki](https://github.com/asmodius/mokito/wiki).

And you can use a more complex structure as follows:
```python
class ComplexDoc(Document):
__uri__ = "mongodb://127.0.0.1:27017"
__database__ = 'test'
__collection__ = 'example'

fields = {
"f_1": None,
"f_2": int,
"f_3": float,
"f_4": dict,
"f_5": [str],
"f_6": (int, str),
"f_7": {
"x_1": {'a': int, 'b': datetime.datetime},
"x_2": None,
"x_3": list
}
}
```

Please see the [wiki](https://github.com/asmodius/mokito/wiki) for more examples.

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

mokito-0.3.8.tar.gz (24.7 kB view details)

Uploaded Source

File details

Details for the file mokito-0.3.8.tar.gz.

File metadata

  • Download URL: mokito-0.3.8.tar.gz
  • Upload date:
  • Size: 24.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mokito-0.3.8.tar.gz
Algorithm Hash digest
SHA256 5d260098b0fb0519b8a7472ef7a64e32304317e874f61e8ca1e220f7f6d815e0
MD5 b90cb5eff68c7aad387c3bbad9702aa6
BLAKE2b-256 6d925262b63269583ba9590a577add4f33cc81cdd1f6f3c4695b44664025a0af

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