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            "Development Status :: 4 - Beta",
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        "description": "# mokito\nAn asynchronous ORM for accessing MongoDB in Tornado\n\n## What is mokito?\n(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)\n\n## Why not pymongo?\n[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.\n\n## Why not motor?\n[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.\n\n## Features\n* validation and conversion of data to the specified type\n* support for unstructured data\n* dot notation\n* control over data presentation\n* control over data validation\n* mapping onto the same document of models with different schemes\n\n## Installing\n```bash\npip install pymomgo tornado\npip install mokito\n```\n\n## Simple usage\n```python\nfrom tornado.web import RequestHandler\nfrom tornado.gen import coroutine\n\nimport mokito\n\n\nclass MainHandler(RequestHandler):\n\n    def initialize(self):\n        self.db = mokito.Client(\"db_name\", \"mongodb://127.0.0.1:27017\")\n\n    @gen.coroutine\n    def get(self, user_id):\n        user = yield self.db.user.find_one(user_id)\n        self.render(\"index.html\", user=user)\n```\n\n## Using ORM\nA Document declaration look as follows:\n\n```python\nfrom mokito import Document\n\nclass BlogPost(Document):\n    fields = {\n        'title':str,\n        'body':str,\n        'author':str\n    }\n\nblogpost = BlogPost(title='my title', body='a body', author='unknown', foo='bar')\nblogpost['author'] = 'me'\nyield blogpost.save()\n```\nMongoDB in the collection \"blog_post\" will write this document:\n```javascript\n{\"_id\": ObjectId(\"...\"), \"body\": \"a body\", \"author\": \"me\", \"title\": \"my title\"}\n```\nThe field \"foo\" will not be saved. More about this you can read in [wiki](https://github.com/asmodius/mokito/wiki).\n\nAnd you can use a more complex structure as follows:\n```python\nclass ComplexDoc(Document):\n    __uri__ = \"mongodb://127.0.0.1:27017\"\n    __database__ = 'test'\n    __collection__ = 'example'\n\n    fields = {\n        \"f_1\": None,\n        \"f_2\": int,\n        \"f_3\": float,\n        \"f_4\": dict,\n        \"f_5\": [str],\n        \"f_6\": (int, str),\n        \"f_7\": {\n            \"x_1\": {'a': int, 'b': datetime.datetime},\n            \"x_2\": None,\n            \"x_3\": list\n        }\n    }\n```\n\nPlease see the [wiki](https://github.com/asmodius/mokito/wiki) for more examples.\n",
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