def getNextCustID():
orders = fileOps.openCsvDebug("casesDebug.csv")
temp = 0
for key, prods in orders.iteritems():
if int(key[1:]) > temp:
temp = int(key[1:])
temp = temp + 1
temp = 'c' + str(temp)
return temp
def getNextCustID():
orders = fileOps.openCsvDebug("casesDebug.csv")
temp = 0
for key, prods in orders.iteritems():
if int(key[1:]) > temp:
temp = int(key[1:])
temp = temp + 1
temp = 'c' + str(temp)
return temp
import fileOps, math
from Tkinter import *
from simMetrics import *
from collections import defaultdict
products = fileOps.openCsv("products.csv")
orders = fileOps.openCsvDebug("casesDebug.csv")
orderDebug = fileOps.openCsvDebug("casesDebug.csv")
newOrderDict = {}
customerProducts = []
orderSimilarity = {}
similarityThreshold = 0.3
#similarityThreshold = raw_input('Enter threshold:')
state = 1
#Iterate over the CSV.
def main():
forgetFrames()
global newOrderDict
newOrderDict = {}
customerProducts = []
orderSimilarity = {}
custID = custEntry.get()
custType = fileOps.getStockistType("c" + custID)
print custType
print '++=========++'
for key, prods in orders.iteritems():
if "c" + custID == key:
#Once we've find the customer, we've got our list of products and can break the loop.
customerProducts += prods
import fileOps, math
from simMetrics import *
from collections import defaultdict
products = fileOps.openCsv("products.csv")
orders = fileOps.openCsvDebug("cases.csv")
orderDebug = fileOps.openCsvDebug("casesDebug.csv")
newOrderDict = {}
customerProducts = []
orderSimilarity = {}
# similarityThreshold = raw_input('Enter threshold:')
similarityThreshold = 0.3
custID = raw_input("Enter customer ID:")
# Iterate over the CSV.
for key, prods in orders.iteritems():
if "c" + custID == key:
# Once we've find the customer, we've got our list of products and can break the loop.
customerProducts = prods
print customerProducts
print "----------"
for key, prods in orders.iteritems():
if custID != key:
customerProducts = set(customerProducts)
prods = set(prods)