AndrewDowning

import csv

class Command(object):  # Decorator for command functions in Rooms class.
    Functions = {}      # Builds dict of command functions {name:function}
    HelpText  = {}      # Builds dict of help text         {name:helptext}
    def __init__(self, helpText):
        self.HelpText = helpText    
    def __call__(self, f):
        Command.Functions[f.__name__] = f
        Command.HelpText [f.__name__] = self.HelpText

AndrewDowning

class Borg(object):
    _state = {}
    def __new__(cls, *p, **k):
        self = object.__new__(cls, *p, **k)
        self.__dict__ = cls._state
        return self

class MyBaseClass(object):
    def __init__(self, base_thing):
        self.base_thing = base_thing

AndrewDowning

class Singleton(object):
    def __init__(self, thing):
        global Singleton
        Singleton = self
        self.thing = thing
    def __call__(self, thing):
        return self
    
singleton = Singleton("Original Instance")  # This could happen anywhere

AndrewDowning

Definitions:
    PollyDiscussionSubjectTree - Subject tree created by facilitators. Made of PollyDiscussionFolders.
        PollyDiscussionSubjectFolder - Place(e.g. "Copyright Discussions") for PollyDiscussionSubject to be created.
            PollyDiscussionSubject - A subject created in a PollyDiscussionFolder.
                                     A subject is some kind of proposition someone would like agreement on.

                PollyDiscussionTree - Tree of PollyDiscussionLists related to a PollyDiscussionSubject.
                    PollyDiscussionList - Lists of PollyDiscussions at many levels in a PollyDiscussionTree
                                          PollyDiscussionList are sortable by relevance, date/time.
                        PollyDiscussion - An instance of a discussion point by a specific contributor.

AndrewDowning

import time
import pymongo
from pymongo import Connection

def safe_modify(col, query, update):
  for attempt in range(5):
		try:
			result = col.find_and_modify(query={'name': 'Andrew'}, 
										 update={"$inc": {"count": 1}}, 
										 upsert=True,		# If document for 'name':'Andrew' not in there, make one. 

AndrewDowning

'''
	JSONValidate.py - JSON data structures are often received from a uncontrolled sources such as
					  Web Clients, as a string representation. Standard python tools such as json.py
					  may be used to parse and validate the string representation into Python data
					  structures, comprised of dicts, lists, and assorted basic types.
					  
					  JSONValidate.py provides application level schema validation.
					  	- Schema validation.
					  	- Data type validation.
					  	- Required/optional data members in dicts.

AndrewDowning

import tornado
from pymongo import DESCENDING, ASCENDING
from bson.code import Code
import motor
from datetime import datetime
import sys

#
#   A Sortable Discussion Tree stored in MongoDB
#