def getItems(self, columns):
with open(self.file) as file:
reader = csv.reader(file)
parsedRows = list()
prevRow = list()
next(reader) # skip first row
for row in reader:
if len(row) < 2:
continue # skip if < 2 columns
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if prevRow and row[0] == prevRow[0]:
lineNumber += 1
else:
lineNumber = 1
market = row[1][:2]
newRow['merchantID'] = self.getMarketParam(
market, 'merchantID')
if not newRow['merchantID']: continue
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(
row[0])
newRow['lineNumber'] = lineNumber
newRow['itemTitle'] = validate.clean(row[2])
newRow['itemSKU'] = validate.clean(
row[10].split('-')[-1]) # grab after the last -
newRow['itemAttribKey'] = 'Full SKU'
newRow['itemAttribVal'] = validate.clean(
row[10]) # save entire sku
newRow['itemQuantity'] = validate.clean(row[11])
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, Marvellous item parser added a column")
quit()
prevRow = row
print("Imported " + str(len(parsedRows)) +
" item rows from Marvellous file '" +
os.path.basename(self.file) + "'")
return parsedRows
def getItems(self, columns):
with open(self.file) as file:
reader = csv.reader(file)
parsedRows = list()
prevRow = list()
next(reader) # skip first row
for row in reader:
if len(row) < 2:
continue # skip if < 2 columns
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if prevRow and row[0] == prevRow[0]:
lineNumber += 1
else:
lineNumber = 1
market = row[1][:2]
newRow['merchantID'] = self.getMarketParam(market,'merchantID')
if not newRow['merchantID']: continue
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(row[0])
newRow['lineNumber'] = lineNumber
newRow['itemTitle'] = validate.clean(row[2])
newRow['itemSKU'] = validate.clean(row[10].split('-')[-1]) # grab after the last -
newRow['itemAttribKey'] = 'Full SKU'
newRow['itemAttribVal'] = validate.clean(row[10]) # save entire sku
newRow['itemQuantity'] = validate.clean(row[11])
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, Marvellous item parser added a column")
quit()
prevRow = row
print("Imported " + str(len(parsedRows)) + " item rows from Marvellous file '" + os.path.basename(self.file) + "'")
return parsedRows
def getItems(path, columns):
with open(path) as file:
reader = csv.reader(file, delimiter='\t') # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
orderLine = 0
prevOrderNum = ''
next(reader) # skip header row
for row in reader:
overstock = False
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0] == prevOrderNum:
orderLine += 1 # this is another line of the same order
else:
orderLine = 1 # reset line number
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ', '')
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(
order_number)
newRow["merchantID"] = 10
newRow["lineNumber"] = orderLine
newRow["itemSKU"] = row[7][:-1].strip()
newRow["itemTitle"] = validate.clean(row[8])
newRow["itemQuantity"] = row[9].strip()
newRow['itemAttribKey'] = 'AmazonPostfix'
newRow['itemAttribVal'] = row[7][-1:]
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
newRow['itemAttribKey'] = 'order-item-id'
newRow['itemAttribVal'] = row[1]
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
# parse attribs
if "(" in row[8] and ")" in row[8]:
attribString = row[8][row[8].find("("):].replace("(",
"").replace(
")", "")
attributes = attribString.split(",")
if attributes[0].strip():
newRow["itemAttribKey"] = "size"
newRow["itemAttribVal"] = attributes[0].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
if len(attributes) > 1 and attributes[1].strip():
newRow["itemAttribKey"] = "color"
newRow["itemAttribVal"] = attributes[1].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
# write out row with width
newRow["itemAttribKey"] = "width"
newRow["itemAttribVal"] = row[14].strip()
prevOrderNum = row[0] # keep reference in case next row needs it
print("Imported " + str(len(parsedRows)) +
" item rows from Dance Shoes Online file '" +
os.path.basename(path) + "'")
return parsedRows
def getOrders(self, columns):
with open(self.file) as file:
prevRow = list()
parsedRows = list()
reader = csv.reader(file)
next(reader) # skip header row
for row in reader:
if len(row) < 2 or (prevRow and row[0] == prevRow[0]):
continue # skip if < 2 cols or same order as prev row
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# set company and market
self.companyCode = row[2]
self.marketId = row[0][:2]
self.market = row[0][3:]
newRow['marketId'] = self.market # save market id for confirmations
newRow['companyCode'] = self.companyCode
newRow['merchantID'] = self.getMarketParam('merchantID')
if not newRow['merchantID']: continue
newRow['completeOrderReference'] = validate.clean(row[1])
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(row[1])
newRow['fullName'] = validate.clean(row[3])
newRow["originFile"] = os.path.basename(self.file)
newRow['phoneNumber'] = validate.phone(row[4])
newRow['address1'] = validate.clean(row[5])
newRow['address2'] = validate.clean(row[6])
newRow['town'] = validate.clean(row[7])
newRow['packingSlip'] = 1
newRow['country'] = validate.country(validate.clean(row[10]))
if not newRow['country']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(self.file) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[10]
self.errors.add(msg)
continue
newRow['region'] = validate.region(validate.clean(row[8]), newRow['country'])
if not newRow['region']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(self.file) + "' was skipped.\n"
msg += 'Could not validate region: ' + row[8]
self.errors.add(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[9]), newRow['country'])
if not newRow['postCode']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(self.file) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[9]
self.errors.add(msg)
continue
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, standard order parser added a column")
quit()
prevRow = row
print("\nImported " + str(len(parsedRows)) + " orders from "+self.market+" file '" + os.path.basename(self.file) + "'")
return parsedRows
def getPackages(self, columns):
lines = list() # this list will hold the whole file
parsedRows = list()
with open(self.file) as file:
reader = csv.reader(file)
next(reader) # skip header
# read the whole file into memory
for row in reader:
if len(row) > 1:
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
newRow['merchantID'] = self.getMarketParam('merchantID', job="Packages")
if not newRow['merchantID']:
orderStart = orderEnd
continue
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(currentOrder[0][1])
newRow['returnCompany'] = self.getMarketParam('returnCompany', job="Packages")
if not newRow['returnCompany']:
orderStart = orderEnd
continue
newRow['returnCompany2'] = self.getMarketParam('returnCompany2', required=False)
newRow['returnAdd1'] = self.getMarketParam('returnAdd1', job="Packages")
if not newRow['returnAdd1']:
orderStart = orderEnd
continue
newRow['returnAdd2'] = self.getMarketParam('returnAdd2', required=False)
newRow['returnCity'] = self.getMarketParam('returnCity', job="Packages")
if not newRow['returnCity']:
orderStart = orderEnd
continue
newRow['returnState'] = self.getMarketParam('returnState', job="Packages")
if not newRow['returnState']:
orderStart = orderEnd
continue
newRow['returnZip'] = self.getMarketParam('returnZip', job="Packages")
if not newRow['returnZip']:
orderStart = orderEnd
continue
itemCount = sum(int(row[13]) if row[13] else 0 for row in currentOrder)
if itemCount == 1:
line = currentOrder[0]
sku = validate.clean(line[11].split('-')[-1])
qty = line[13]
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow['weight'] = float(15/16);
newRow['note'] = qty + '-' + sku
newRow["bulk"] = 1
else:
# create a default package
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow["bulk"] = 0
# save the package row in completedLines
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, "+self.market+" shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(parsedRows)) + " packages from '" + os.path.basename(self.file) + "'")
return parsedRows
def getOrders(path, columns):
with open(path) as file:
reader = csv.reader(file, delimiter='\t') # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
prevOrderNum = ''
next(reader) # skip header row
for row in reader:
# if more than 2 cols and order number exists and new order
if len(row) > 2 and row[0].strip() and row[0] != prevOrderNum:
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ','')
newRow["completeOrderReference"] = order_number
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number)
newRow["originFile"] = os.path.basename(path)
newRow["companyCode"] = 97
newRow["merchantID"] = 10
newRow["fullName"] = validate.clean(row[5])
newRow["phoneNumber"] = "".join([char for char in row[6] if str.isdigit(char)])
newRow["emailAddress"] = row[4].strip()
newRow["address1"] = validate.clean(row[17])
newRow["address2"] = validate.clean(row[18])
newRow["address3"] = validate.clean(row[19])
newRow["town"] = row[20].strip()
newRow['country'] = validate.country(validate.clean(row[23]))
if not newRow['country']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[23] + '\n'
errors.append(msg)
continue
newRow["region"] = validate.region(validate.clean(row[21]), newRow['country'])
if not newRow["region"]:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate state: ' + row[21] + '\n'
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[22]), newRow['country'])
if not newRow['postCode']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[22] + '\n'
errors.append(msg)
continue
newRow["packingSlip"] = 1
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon order parser added a column")
quit()
# save the previous order number
prevOrderNum = row[0]
print("\nImported " + str(len(parsedRows)) + " orders from Dance Shoes Online file '" + os.path.basename(path) + "'")
return parsedRows
def getPackages(path, columns):
mensSkus = ["A330101","A350501"]
lines = list() # this list will hold the whole file
completedLines = list()
with open(path) as file:
reader = csv.reader(file, delimiter='\t')
next(reader) # skip header row
for row in reader:
# read the whole file into memory so that I can index it and
# iterate over parts of it multiple times
if len(row) > 2 and row[10]: # if > 2 cols and sku exists
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1 # increment the orderEnd counter
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
order_number = validate.clean(currentOrder[0][0]).replace(' ','')
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number)
country = validate.country(validate.clean(currentOrder[0][7]))
newRow["merchantID"] = 10
newRow["returnCompany"] = "DanceShoesOnline.com"
newRow["returnAdd1"] = "8900 Rosehill Rd"
newRow["returnAdd2"] = "Unit B."
newRow["returnCity"] = "Lenexa"
newRow["returnState"] = "KS"
newRow["returnZip"] = "66214-1656"
newRow["bulk"] = 0
itemCount = sum(int(row[9]) for row in currentOrder)
# orders with 1 item
if itemCount == 1:
line = currentOrder[0]
sku = line[7][:-1].strip()
womens = sku not in mensSkus
attribString = line[8][line[8].find("("):].replace("(","").replace(")","")
attributes = attribString.split(",")
size = 0
if attributes[0].strip():
size = float(attributes[0].strip())
if size and size < 9 and womens:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 10.25
newRow["width"] = 7
newRow["height"] = 3.5
if size and size < 7:
newRow["weight"] = 1
else:
newRow["weight"] = 1.2
newRow['note'] = 'Small box'
# 1 women's 9 and above or 1 men's
else:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 12.25
newRow["width"] = 7.25
newRow["height"] = 4.25
newRow["weight"] = 1.2
newRow['note'] = 'Large box'
# orders with 2 items
elif itemCount == 2:
# assume we will be able to ship combo
# and then try to prove this false
canShipCombo = True
for line in currentOrder:
sku = line[10][:-1].strip()
womens = sku not in mensSkus
attribString = line[8][line[8].find("("):].replace("(","").replace(")","")
attributes = attribString.split(",")
size = 0
if attributes[0].strip():
size = float(attributes[0].strip())
if not size or not womens or not size < 9:
canShipCombo = False
if canShipCombo:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 14
newRow["width"] = 10.25
newRow["height"] = 3.5
newRow["weight"] = 2.2
newRow['note'] = 'Double box'
else:
# create a generic USPS package
newRow['packageNumber'] = 1
newRow['carrier'] = 26
newRow['serviceClass'] = 10
newRow['note'] = 'Dim add'
# orders with more than 2 items
else:
if country == 'PR':
# create a generic USPS package
newRow['packageNumber'] = 1
newRow['carrier'] = 26
newRow['serviceClass'] = 10
newRow['note'] = 'Dim add'
else:
orderStart = orderEnd # move on to the next order
continue # don't create a package
# save the package row in completedLines
if len(columns) == len(newRow):
completedLines.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(completedLines)) + " packages from '" + os.path.basename(path) + "'")
return completedLines
def getOrders(path, columns):
with open(path) as file:
reader = csv.reader(file) # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
next(reader) # skip header row
for row in reader:
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0]: # this line has an order number
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ', '')
if '&' in order_number:
newRow["completeOrderReference"] = order_number.replace(
'&', '/')
newRow[
"shortOrderReference"] = validate.shortenPossibleAmazon(
order_number.split('&')[0])
else:
newRow["completeOrderReference"] = order_number
newRow[
"shortOrderReference"] = validate.shortenPossibleAmazon(
order_number)
newRow["originFile"] = os.path.basename(path)
newRow["companyCode"] = 97
newRow["merchantID"] = 10
newRow["fullName"] = row[1].strip() + " " + row[2].strip()
newRow["phoneNumber"] = "".join(
[char for char in row[8] if str.isdigit(char)])
newRow["emailAddress"] = row[9].strip()
newRow["address1"] = row[3].strip()
newRow["town"] = row[4].strip()
newRow['country'] = validate.country(validate.clean(row[7]))
if not newRow['country']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[7] + '\n'
errors.append(msg)
continue
newRow["region"] = validate.region(validate.clean(row[5]),
newRow['country'])
if not newRow["region"]:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate state: ' + row[5] + '\n'
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[6]),
newRow['country'])
if not newRow['postCode']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[6] + '\n'
errors.append(msg)
continue
newRow["packingSlip"] = 1
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL order parser added a column")
quit()
print("\nImported " + str(len(parsedRows)) +
" orders from Dance Shoes Online file '" +
os.path.basename(path) + "'")
return parsedRows
def getPackages(self, columns):
lines = list() # this list will hold the whole file
parsedRows = list()
with open(self.file) as file:
reader = csv.reader(file)
next(reader) # skip header
# read the whole file into memory
for row in reader:
if len(row) > 1:
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(
lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
newRow['merchantID'] = self.getMarketParam('merchantID',
job="Packages")
if not newRow['merchantID']:
orderStart = orderEnd
continue
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(
currentOrder[0][1])
newRow['returnCompany'] = self.getMarketParam('returnCompany',
job="Packages")
if not newRow['returnCompany']:
orderStart = orderEnd
continue
newRow['returnCompany2'] = self.getMarketParam('returnCompany2',
required=False)
newRow['returnAdd1'] = self.getMarketParam('returnAdd1',
job="Packages")
if not newRow['returnAdd1']:
orderStart = orderEnd
continue
newRow['returnAdd2'] = self.getMarketParam('returnAdd2',
required=False)
newRow['returnCity'] = self.getMarketParam('returnCity',
job="Packages")
if not newRow['returnCity']:
orderStart = orderEnd
continue
newRow['returnState'] = self.getMarketParam('returnState',
job="Packages")
if not newRow['returnState']:
orderStart = orderEnd
continue
newRow['returnZip'] = self.getMarketParam('returnZip',
job="Packages")
if not newRow['returnZip']:
orderStart = orderEnd
continue
itemCount = sum(
int(row[13]) if row[13] else 0 for row in currentOrder)
if itemCount == 1:
line = currentOrder[0]
sku = validate.clean(line[11].split('-')[-1])
qty = line[13]
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow['weight'] = float(15 / 16)
newRow['note'] = qty + '-' + sku
newRow["bulk"] = 1
else:
# create a default package
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow["bulk"] = 0
# save the package row in completedLines
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, " + self.market +
" shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(parsedRows)) + " packages from '" +
os.path.basename(self.file) + "'")
return parsedRows
def getOrders(path, columns):
with open(path) as file:
prevRow = list()
parsedRows = list()
reader = csv.reader(file)
next(reader) # skip header row
for row in reader:
if len(row) < 2 or (prevRow and row[0] == prevRow[0]):
continue # skip if < 2 cols or same order as prev row
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
newRow['companyCode'] = 112 # marvellous
newRow['merchantID'] = 36
if validate.clean(row[1]).lower() == "ellorefemme.com":
newRow['merchantDivisionCode'] = 1
elif validate.clean(row[1]).lower() == "widgetlove.com":
newRow['merchantDivisionCode'] = 2
newRow['completeOrderReference'] = validate.clean(row[0])
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(row[0])
newRow['fullName'] = validate.clean(row[3]) + ' ' + validate.clean(row[4])
newRow["originFile"] = os.path.basename(path)
newRow['phoneNumber'] = validate.phone(row[10])
newRow['address1'] = validate.clean(row[5])
newRow['town'] = validate.clean(row[6])
newRow['packingSlip'] = 1
newRow['country'] = validate.country(validate.clean(row[9]))
if not newRow['country']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[9]
errors.append(msg)
continue
newRow['region'] = validate.region(validate.clean(row[7]), newRow['country'])
if not newRow['region']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate region: ' + row[7]
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[8]), newRow['country'])
if not newRow['postCode']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[8]
errors.append(msg)
continue
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, LTM order parser added a column")
quit()
prevRow = row
print("\nImported " + str(len(parsedRows)) + " orders from Lightake file '" + os.path.basename(path) + "'")
return parsedRows
def getPackages(path, columns):
lines = list() # this list will hold the whole file
parsedRows = list()
with open(path) as file:
reader = csv.reader(file)
next(reader) # skip header
# read the whole file into memory
for row in reader:
if len(row) > 1:
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
newRow['merchantID'] = 36
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(currentOrder[0][0])
newRow['returnCompany'] = validate.clean(currentOrder[0][1])
newRow['returnAdd1'] = '8900 Rosehill Rd'
newRow['returnAdd2'] = 'Unit B Dock'
newRow['returnCity'] = 'Lenexa'
newRow['returnState'] = 'KS'
newRow['returnZip'] = '66215'
itemCount = sum(int(row[14]) if row[14] else 0 for row in currentOrder)
if itemCount == 1:
line = currentOrder[0]
sku = validate.clean(line[13])
qty = line[14]
newRow["carrier"] = 26
newRow['serviceClass'] = 12
#newRow['weight'] = productWeights.get(('36',sku))
newRow['weight'] = float(15/16);
newRow['note'] = qty + '-' + sku
newRow["bulk"] = 1
else:
# create a default package
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow["bulk"] = 0
# save the package row in completedLines
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, Lightake shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(parsedRows)) + " packages from '" + os.path.basename(path) + "'")
return parsedRows
def getOrders(path, columns):
with open(path) as file:
prevRow = list()
parsedRows = list()
reader = csv.reader(file)
next(reader) # skip header row
for row in reader:
if len(row) < 2 or (prevRow and row[0] == prevRow[0]):
continue # skip if < 2 cols or same order as prev row
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
newRow['companyCode'] = 112 # marvellous
newRow['merchantID'] = 36
if validate.clean(row[1]).lower() == "ellorefemme.com":
newRow['merchantDivisionCode'] = 1
elif validate.clean(row[1]).lower() == "widgetlove.com":
newRow['merchantDivisionCode'] = 2
newRow['completeOrderReference'] = validate.clean(row[0])
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(
row[0])
newRow['fullName'] = validate.clean(row[3]) + ' ' + validate.clean(
row[4])
newRow["originFile"] = os.path.basename(path)
newRow['phoneNumber'] = validate.phone(row[10])
newRow['address1'] = validate.clean(row[5])
newRow['town'] = validate.clean(row[6])
newRow['packingSlip'] = 1
newRow['country'] = validate.country(validate.clean(row[9]))
if not newRow['country']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[9]
errors.append(msg)
continue
newRow['region'] = validate.region(validate.clean(row[7]),
newRow['country'])
if not newRow['region']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate region: ' + row[7]
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[8]),
newRow['country'])
if not newRow['postCode']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[8]
errors.append(msg)
continue
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, LTM order parser added a column")
quit()
prevRow = row
print("\nImported " + str(len(parsedRows)) +
" orders from Lightake file '" + os.path.basename(path) + "'")
return parsedRows
def getPackages(path, columns):
lines = list() # this list will hold the whole file
parsedRows = list()
with open(path) as file:
reader = csv.reader(file)
next(reader) # skip header
# read the whole file into memory
for row in reader:
if len(row) > 1:
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(
lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
newRow['merchantID'] = 36
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(
currentOrder[0][0])
newRow['returnCompany'] = validate.clean(currentOrder[0][1])
newRow['returnAdd1'] = '8900 Rosehill Rd'
newRow['returnAdd2'] = 'Unit B Dock'
newRow['returnCity'] = 'Lenexa'
newRow['returnState'] = 'KS'
newRow['returnZip'] = '66215'
itemCount = sum(int(row[14]) if row[14] else 0 for row in currentOrder)
if itemCount == 1:
line = currentOrder[0]
sku = validate.clean(line[13])
qty = line[14]
newRow["carrier"] = 26
newRow['serviceClass'] = 12
#newRow['weight'] = productWeights.get(('36',sku))
newRow['weight'] = float(15 / 16)
newRow['note'] = qty + '-' + sku
newRow["bulk"] = 1
else:
# create a default package
newRow["carrier"] = 26
newRow['serviceClass'] = 12
newRow["bulk"] = 0
# save the package row in completedLines
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, Lightake shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(parsedRows)) + " packages from '" +
os.path.basename(path) + "'")
return parsedRows
def getOrders(path, columns):
with open(path) as file:
reader = csv.reader(file) # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
next(reader) # skip header row
for row in reader:
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0]: # this line has an order number
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ','')
if '&' in order_number:
newRow["completeOrderReference"] = order_number.replace('&','/')
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number.split('&')[0])
else:
newRow["completeOrderReference"] = order_number
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number)
newRow["originFile"] = os.path.basename(path)
newRow["companyCode"] = 97
newRow["merchantID"] = 10
newRow["fullName"] = row[1].strip() + " " + row[2].strip()
newRow["phoneNumber"] = "".join([char for char in row[8] if str.isdigit(char)])
newRow["emailAddress"] = row[9].strip()
newRow["address1"] = row[3].strip()
newRow["town"] = row[4].strip()
newRow['country'] = validate.country(validate.clean(row[7]))
if not newRow['country']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[7] + '\n'
errors.append(msg)
continue
newRow["region"] = validate.region(validate.clean(row[5]), newRow['country'])
if not newRow["region"]:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate state: ' + row[5] + '\n'
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[6]), newRow['country'])
if not newRow['postCode']:
msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[6] + '\n'
errors.append(msg)
continue
newRow["packingSlip"] = 1
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL order parser added a column")
quit()
print("\nImported " + str(len(parsedRows)) + " orders from Dance Shoes Online file '" + os.path.basename(path) + "'")
return parsedRows
def getItems(path, columns):
with open(path) as file:
reader = csv.reader(file) # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
orderLine = 0
next(reader) # skip header row
for row in reader:
overstock = False
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0]: # this line has an order number
# we've found a new order
orderLine = 1 # reset line number to 1
else: # this line has no order number
# this is another line of the same order
orderLine += 1 # increment the line number
row[0] = prevRef # use the order reference from the previous line
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ','')
if '&' in order_number:
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number.split('&')[0])
else:
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number)
newRow["merchantID"] = 10
newRow["lineNumber"] = orderLine
if row[10][-3:] == "-OS":
newRow["itemSKU"] = row[10][:-3].strip()
overstock = True
else:
newRow["itemSKU"] = row[10].strip()
newRow["itemQuantity"] = row[11].strip()
# write out row with size
newRow["itemAttribKey"] = "size"
newRow["itemAttribVal"] = row[12].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with heel
newRow["itemAttribKey"] = "heel"
newRow["itemAttribVal"] = row[13].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with width
newRow["itemAttribKey"] = "width"
newRow["itemAttribVal"] = row[14].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with bin/us code
if row[15].strip():
newRow['itemAttribKey'] = 'bin'
newRow['itemAttribVal'] = validate.clean(row[15]).strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# add overstock attrib
if overstock:
newRow["itemAttribKey"] = "overstock"
newRow["itemAttribVal"] = "true"
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
prevRef = row[0] # keep reference in case next row needs it
print("Imported " + str(len(parsedRows)) + " item rows from Dance Shoes Online file '" + os.path.basename(path) + "'")
return parsedRows
def getPackages(path, columns):
mensSkus = ["A330101", "A350501"]
lines = list() # this list will hold the whole file
completedLines = list()
with open(path) as file:
reader = csv.reader(file, delimiter='\t')
next(reader) # skip header row
for row in reader:
# read the whole file into memory so that I can index it and
# iterate over parts of it multiple times
if len(row) > 2 and row[10]: # if > 2 cols and sku exists
lines.append(row)
orderStart = 0
orderEnd = 0
while orderEnd < len(lines):
orderEnd += 1
# while the current line has the same order number as the starting line
while orderEnd < len(
lines) and lines[orderEnd][0] == lines[orderStart][0]:
orderEnd += 1 # increment the orderEnd counter
# grab the slice of the file that contains the next order
currentOrder = lines[orderStart:orderEnd]
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# FIGURE OUT WHAT TO DO WITH THIS ORDER
order_number = validate.clean(currentOrder[0][0]).replace(' ', '')
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(
order_number)
country = validate.country(validate.clean(currentOrder[0][7]))
newRow["merchantID"] = 10
newRow["returnCompany"] = "DanceShoesOnline.com"
newRow["returnAdd1"] = "8900 Rosehill Rd"
newRow["returnAdd2"] = "Unit B."
newRow["returnCity"] = "Lenexa"
newRow["returnState"] = "KS"
newRow["returnZip"] = "66214-1656"
newRow["bulk"] = 0
itemCount = sum(int(row[9]) for row in currentOrder)
# orders with 1 item
if itemCount == 1:
line = currentOrder[0]
sku = line[7][:-1].strip()
womens = sku not in mensSkus
attribString = line[8][line[8].find("("):].replace("(",
"").replace(
")", "")
attributes = attribString.split(",")
size = 0
if attributes[0].strip():
size = float(attributes[0].strip())
if size and size < 9 and womens:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 10.25
newRow["width"] = 7
newRow["height"] = 3.5
if size and size < 7:
newRow["weight"] = 1
else:
newRow["weight"] = 1.2
newRow['note'] = 'Small box'
# 1 women's 9 and above or 1 men's
else:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 12.25
newRow["width"] = 7.25
newRow["height"] = 4.25
newRow["weight"] = 1.2
newRow['note'] = 'Large box'
# orders with 2 items
elif itemCount == 2:
# assume we will be able to ship combo
# and then try to prove this false
canShipCombo = True
for line in currentOrder:
sku = line[10][:-1].strip()
womens = sku not in mensSkus
attribString = line[8][line[8].find("("):].replace("(",
"").replace(
")", "")
attributes = attribString.split(",")
size = 0
if attributes[0].strip():
size = float(attributes[0].strip())
if not size or not womens or not size < 9:
canShipCombo = False
if canShipCombo:
newRow["packageNumber"] = 1
newRow["carrier"] = 26
newRow["serviceClass"] = 10
newRow["length"] = 14
newRow["width"] = 10.25
newRow["height"] = 3.5
newRow["weight"] = 2.2
newRow['note'] = 'Double box'
else:
# create a generic USPS package
newRow['packageNumber'] = 1
newRow['carrier'] = 26
newRow['serviceClass'] = 10
newRow['note'] = 'Dim add'
# orders with more than 2 items
else:
if country == 'PR':
# create a generic USPS package
newRow['packageNumber'] = 1
newRow['carrier'] = 26
newRow['serviceClass'] = 10
newRow['note'] = 'Dim add'
else:
orderStart = orderEnd # move on to the next order
continue # don't create a package
# save the package row in completedLines
if len(columns) == len(newRow):
completedLines.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon shipping allocator added a column")
quit()
orderStart = orderEnd # move on to the next order
print("Created " + str(len(completedLines)) + " packages from '" +
os.path.basename(path) + "'")
return completedLines
def getOrders(path, columns):
with open(path) as file:
reader = csv.reader(file, delimiter='\t') # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
prevOrderNum = ''
next(reader) # skip header row
for row in reader:
# if more than 2 cols and order number exists and new order
if len(row) > 2 and row[0].strip() and row[0] != prevOrderNum:
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ', '')
newRow["completeOrderReference"] = order_number
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(
order_number)
newRow["originFile"] = os.path.basename(path)
newRow["companyCode"] = 97
newRow["merchantID"] = 10
newRow["fullName"] = validate.clean(row[5])
newRow["phoneNumber"] = "".join(
[char for char in row[6] if str.isdigit(char)])
newRow["emailAddress"] = row[4].strip()
newRow["address1"] = validate.clean(row[17])
newRow["address2"] = validate.clean(row[18])
newRow["address3"] = validate.clean(row[19])
newRow["town"] = row[20].strip()
newRow['country'] = validate.country(validate.clean(row[23]))
if not newRow['country']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[23] + '\n'
errors.append(msg)
continue
newRow["region"] = validate.region(validate.clean(row[21]),
newRow['country'])
if not newRow["region"]:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate state: ' + row[21] + '\n'
errors.append(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[22]),
newRow['country'])
if not newRow['postCode']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
path) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[22] + '\n'
errors.append(msg)
continue
newRow["packingSlip"] = 1
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon order parser added a column")
quit()
# save the previous order number
prevOrderNum = row[0]
print("\nImported " + str(len(parsedRows)) +
" orders from Dance Shoes Online file '" +
os.path.basename(path) + "'")
return parsedRows
def getItems(path, columns):
with open(path) as file:
reader = csv.reader(file, delimiter='\t') # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
orderLine = 0
prevOrderNum = ''
next(reader) # skip header row
for row in reader:
overstock = False
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0] == prevOrderNum:
orderLine += 1 # this is another line of the same order
else:
orderLine = 1 # reset line number
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ','')
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(order_number)
newRow["merchantID"] = 10
newRow["lineNumber"] = orderLine
newRow["itemSKU"] = row[7][:-1].strip()
newRow["itemTitle"] = validate.clean(row[8])
newRow["itemQuantity"] = row[9].strip()
newRow['itemAttribKey'] = 'AmazonPostfix'
newRow['itemAttribVal'] = row[7][-1:]
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
newRow['itemAttribKey'] = 'order-item-id'
newRow['itemAttribVal'] = row[1]
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
# parse attribs
if "(" in row[8] and ")" in row[8]:
attribString = row[8][row[8].find("("):].replace("(","").replace(")","")
attributes = attribString.split(",")
if attributes[0].strip():
newRow["itemAttribKey"] = "size"
newRow["itemAttribVal"] = attributes[0].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
if len(attributes) > 1 and attributes[1].strip():
newRow["itemAttribKey"] = "color"
newRow["itemAttribVal"] = attributes[1].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL Amazon item parser added a column")
quit()
# write out row with width
newRow["itemAttribKey"] = "width"
newRow["itemAttribVal"] = row[14].strip()
prevOrderNum = row[0] # keep reference in case next row needs it
print("Imported " + str(len(parsedRows)) + " item rows from Dance Shoes Online file '" + os.path.basename(path) + "'")
return parsedRows
def getOrders(self, columns):
with open(self.file) as file:
prevRow = list()
parsedRows = list()
reader = csv.reader(file)
next(reader) # skip header row
for row in reader:
if len(row) < 2 or (prevRow and row[0] == prevRow[0]):
continue # skip if < 2 cols or same order as prev row
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
# set company and market
self.companyCode = row[2]
self.marketId = row[0][:2]
self.market = row[0][3:]
newRow[
'marketId'] = self.market # save market id for confirmations
newRow['companyCode'] = self.companyCode
newRow['merchantID'] = self.getMarketParam('merchantID')
if not newRow['merchantID']: continue
newRow['completeOrderReference'] = validate.clean(row[1])
newRow['shortOrderReference'] = validate.shortenPossibleAmazon(
row[1])
newRow['fullName'] = validate.clean(row[3])
newRow["originFile"] = os.path.basename(self.file)
newRow['phoneNumber'] = validate.phone(row[4])
newRow['address1'] = validate.clean(row[5])
newRow['address2'] = validate.clean(row[6])
newRow['town'] = validate.clean(row[7])
newRow['packingSlip'] = 1
newRow['country'] = validate.country(validate.clean(row[10]))
if not newRow['country']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
self.file) + "' was skipped.\n"
msg += 'Could not validate country: ' + row[10]
self.errors.add(msg)
continue
newRow['region'] = validate.region(validate.clean(row[8]),
newRow['country'])
if not newRow['region']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
self.file) + "' was skipped.\n"
msg += 'Could not validate region: ' + row[8]
self.errors.add(msg)
continue
newRow['postCode'] = validate.postCode(validate.clean(row[9]),
newRow['country'])
if not newRow['postCode']:
msg = newRow[
'completeOrderReference'] + " from file '" + os.path.basename(
self.file) + "' was skipped.\n"
msg += 'Could not validate post code: ' + row[9]
self.errors.add(msg)
continue
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, standard order parser added a column")
quit()
prevRow = row
print("\nImported " + str(len(parsedRows)) + " orders from " +
self.market + " file '" + os.path.basename(self.file) + "'")
return parsedRows
def getItems(path, columns):
with open(path) as file:
reader = csv.reader(file) # create a CSV reader object
parsedRows = list() # create a list to hold the new rows
orderLine = 0
next(reader) # skip header row
for row in reader:
overstock = False
# create a new ordered dictionary to hold the row info
newRow = collections.OrderedDict.fromkeys(columns)
if len(row) < 2 or not row[10].strip():
continue # skip row if < 2 cols or no sku
if row[0]: # this line has an order number
# we've found a new order
orderLine = 1 # reset line number to 1
else: # this line has no order number
# this is another line of the same order
orderLine += 1 # increment the line number
row[0] = prevRef # use the order reference from the previous line
# map info from input file row to new row dict
order_number = validate.clean(row[0]).replace(' ', '')
if '&' in order_number:
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(
order_number.split('&')[0])
else:
newRow["shortOrderReference"] = validate.shortenPossibleAmazon(
order_number)
newRow["merchantID"] = 10
newRow["lineNumber"] = orderLine
if row[10][-3:] == "-OS":
newRow["itemSKU"] = row[10][:-3].strip()
overstock = True
else:
newRow["itemSKU"] = row[10].strip()
newRow["itemQuantity"] = row[11].strip()
# write out row with size
newRow["itemAttribKey"] = "size"
newRow["itemAttribVal"] = row[12].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with heel
newRow["itemAttribKey"] = "heel"
newRow["itemAttribVal"] = row[13].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with width
newRow["itemAttribKey"] = "width"
newRow["itemAttribVal"] = row[14].strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# write out row with bin/us code
if row[15].strip():
newRow['itemAttribKey'] = 'bin'
newRow['itemAttribVal'] = validate.clean(row[15]).strip()
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
# add overstock attrib
if overstock:
newRow["itemAttribKey"] = "overstock"
newRow["itemAttribVal"] = "true"
if len(columns) == len(newRow):
parsedRows.append(list(newRow.values()))
else:
print("Oops, DSOL item parser added a column")
quit()
prevRef = row[0] # keep reference in case next row needs it
print("Imported " + str(len(parsedRows)) +
" item rows from Dance Shoes Online file '" +
os.path.basename(path) + "'")
return parsedRows
