#Developer : Ivana Donevska

#Date : 2015-12-10

#Program Name : Credit Card Transactions Scenario - Red Risk

#Version# :1

#Description : Code that generates transactions based on risk criteria below

#-----------------------------------------------------------------------------

# History | ddmmyyyy | User | Changes

# | 11122015 | Ivana D. | Intial Coding Steps

#

#-----------------------------------------------------------------------------*/

import python_account_ID

from random import randrange

from random import random

import random

from datetime import datetime

from random import shuffle

from faker import Faker

from barnum import gen_data

import csv

from datetime import date, timedelta

fake = Faker()

#Red Transactions are defined by Merchant Category, Transaction Types and Country.

#Merchant Category is divided into three risk categories per senor Kamin's best judgement. - % to be updated

#As a reference was used MCC (Merchant Category Codes)

#Just like MCC - Transaction Types were divided by risk and their frequencies were distributed accordingly.

#Tran Type Percentage Distribution Table:

#Transaction Type Green Yellow Red

#Cash Advance 5 15 20

#Cash Payment 5 10 20

#Purchase 55 37 20

#Payment 20 10 5

#Payment Reversal 1 5 0

#Wire Transfer 3 0 10

#Void 3 10 0

#Refund 3 10 15

#ACH 5 3 10

# 100 100 100

#Country Risk is distrubuted in three categories from the US AML Risk Guide Table

Country = ['AF', 'AO', 'AZ', 'BD', 'BY', 'BZ', 'BO', 'MM', 'KH', 'KM', 'CD', 'CI', 'CU', 'GN', 'GW', 'GY', 'HT', 'ID', 'IR', 'IQ', 'KZ', 'KE', 'KP', 'LA', 'LB', 'LR', 'LY', 'NG', 'PK', 'PG', 'PY', 'SL', 'SX', 'SO', 'SD', 'SY', 'TH', 'TR', 'VE', 'VN', 'YE', 'ZW', 'AL', 'DZ', 'AD', 'AI', 'AR', 'AW', 'BS', 'BJ', 'BM', 'BA', 'BR', 'VG', 'BN', 'BF', 'BI', 'KY', 'CF', 'TD', 'CN', 'CO', 'CK', 'CR', 'CY', 'DM', 'DO', 'EC', 'EG', 'GQ', 'ER', 'GA', 'GM', 'GH', 'GI', 'GR', 'GD', 'GT', 'GG', 'HN', 'IM', 'JP', 'JE', 'JO', 'KR', 'KW', 'KG', 'LI', 'LU', 'MO', 'MG', 'MW', 'MY', 'MV', 'ML', 'MH', 'MR', 'MX', 'MD', 'MC', 'MN', 'MS', 'MA', 'MZ', 'NP', 'NI', 'NE', 'PW', 'PA', 'PE', 'PH', 'RO', 'RU', 'KN', 'LC', 'VC', 'WS', 'ST', 'SA', 'SN', 'SC', 'SB', 'SS', 'LK', 'SR', 'SZ', 'TJ', 'TZ', 'TG', 'TO', 'TT', 'TN', 'TM', 'UG', 'UA', 'UY', 'UZ', 'VU', 'EH', 'ZM']

Merchant_Category = ['4789', '4821', '4829', '5094', '5933', '5944', '6010', '7699', '7994', '7995', '9950']

Transaction_Type = ['Cash Advance','Cash Advance','Cash Advance','Cash Advance','Cash Advance','Cash Advance',\

'ACH','ACH','ACH','ACH','ACH','ACH','ACH']

All_Merchant_Cat = {'742':'Veterinary Services',