namlook

>>> import pymongo
>>> con = pymongo.Connection()
>>> nugget = con.elkorado.nuggets.find_one({"discoverer": "namlook"})

namlook

from mongokit import ObjectId, Connection

connection = Connection()

@connection.register
class UserNugget(Core):
    __collection__ = "user_nuggets"
    structure = {
        "url": unicode,
        "topics": [unicode],

namlook

@connection.register
class Nugget(Core):
    __collection__ = "nuggets"
    stucture = {
        "url": unicode,
        "topics": list,
        "discoverer": unicode,
        "popularity": int
    }
    default_values = {"popularity": 0}

namlook

from datetime import datetime
    class Core(mongokit.Document):
        __database__ = "elkorado"
        use_dot_notation = True
        structure = {
            "created_at": datetime,
            "updated_at": datetime
        }
        default_values = {
            "created_at": datetime.utcnow,

namlook

import mongokit
connection = mongokit.Connection()

@connection.register
class Nugget(mongokit.Document):
    __database__ = "elkorado"
    __collection__ = "nuggets"
    structure = {
      "url": unicode,
      "discoverer": unicode,

namlook

from flask import Flask

app = Flask(__name__)

from flaskext.celery import Celery
celery = Celery(app)

def process_global(glob_obj):
    g.db = app.config['MONGO_DATABASE'] # get the unpickle-izable database
    for k,v in glob_obj.iteritems():

namlook

class MyDoc(Document):
     collection_name = "mydoc"
     structure = {
          'foo': unicode,
          'bar': int,
     }

con = Connection()
con.register([MyDoc])

namlook

class Doc(Document):
    structure = {
       "connections": [ SELF ],
       "some":  unicode,
       "other": unicode,
       "important": int,
       "data": uncode,
    }

namlook

from mongokit import *
import numpy as np

class MongoMatrix(Document):
    structure = {}
    
    use_autorefs = True
    use_dot_notation=True
    atomic_save = True