Exemplo n.º 1
0
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'] = 40

            newRow['completeOrderReference'] = validate.clean(row[1])
            newRow['shortOrderReference'] = validate.clean(row[1])
            newRow['fullName'] = validate.clean(row[6]) + ' ' + validate.clean(row[7])
            newRow["originFile"] = os.path.basename(path)
            newRow['phoneNumber'] = validate.phone(row[23])
            newRow['address1'] = validate.clean(row[8])
            newRow['address2'] = validate.clean(row[9])
            newRow['town'] = validate.clean(row[10])
            newRow['packingSlip'] = 1
            
            newRow['country'] = validate.country(validate.clean(row[13]))
            if not newRow['country']:
                msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += 'Could not validate country: ' + row[13]
                errors.append(msg)
                continue

            newRow['region'] = validate.region(validate.clean(row[11]), newRow['country'])
            if not newRow['region']:
                msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += 'Could not validate region: ' + row[11]
                errors.append(msg)
                continue

            newRow['postCode'] = validate.postCode(validate.clean(row[12]), 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[12]
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, NMR order parser added a column")
                quit()

            prevRow = row

    print("\nImported " + str(len(parsedRows)) + " orders from NMR file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 2
0
def getItems(path, columns):
    with open(path) 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)

            newRow['merchantID'] = 39
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow['lineNumber'] = 1
            newRow['itemSKU'] = validate.clean(row[15])
            newRow['itemQuantity'] = 1
            

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Ncrowd item parser added a column")
                quit()

            prevRow = row

    print("Imported " + str(len(parsedRows)) + " item rows from Ncrowd file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 3
0
def getItems(path, columns):

    with open(path) 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)

            newRow['merchantID'] = 36
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow['lineNumber'] = 1
            newRow['itemTitle'] = validate.clean(row[23])
            newRow['itemSKU'] = validate.clean(row[3])
            newRow['itemQuantity'] = validate.clean(row[4])

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Groupon item parser added a column")
                quit()

            prevRow = row

    print("Imported " + str(len(parsedRows)) +
          " item rows from Groupon file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 4
0
def getPackages(path, columns):

    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:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            newRow['merchantID'] = 36
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow["bulk"] = 1
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = validate.clean(row[34])
            newRow['note'] = validate.clean(row[4]) + '-' + validate.clean(row[3]) # qty-sku

            # save the package row in completedLines
            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Groupon shipping allocator added a column")
                quit()

    print("Created " + str(len(parsedRows)) + " packages from '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 5
0
def getPackages(path, columns):

    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:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            newRow['merchantID'] = 36
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow["bulk"] = 1
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = validate.clean(row[34])
            newRow['note'] = validate.clean(row[4]) + '-' + validate.clean(
                row[3])  # qty-sku

            # save the package row in completedLines
            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Groupon shipping allocator added a column")
                quit()

    print("Created " + str(len(parsedRows)) + " packages from '" +
          os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 6
0
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

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[13] == "":
                continue  # skip if < 2 cols or no sku

            newRow["companyCode"] = 113
            newRow["completeOrderReference"] = validate.clean(row[0])
            newRow["shortOrderReference"] = validate.clean(row[0])
            newRow["originFile"] = os.path.basename(path)
            newRow["merchantID"] = 38
            newRow["fullName"] = validate.clean(row[11] + " " + row[12])
            newRow["phoneNumber"] = "".join([char for char in row[18] if str.isdigit(char)])
            newRow["address1"] = validate.clean(row[13])
            newRow["address2"] = validate.clean(row[14])
            newRow["town"] = validate.clean(row[15])
            newRow["packingSlip"] = 0

            newRow["country"] = validate.country(validate.clean(row[18]))
            if not newRow["country"]:
                msg = newRow["completeOrderReference"] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += "Could not validate country: " + row[18] + "\n"
                errors.append(msg)
                continue

            newRow["region"] = validate.region(validate.clean(row[16]), newRow["country"])
            if not newRow["region"]:
                msg = newRow["completeOrderReference"] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += "Could not validate region: " + row[16] + "\n"
                errors.append(msg)
                continue

            newRow["postCode"] = validate.postCode(validate.clean(row[17]), 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[17] + "\n"
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops StackSocial order parser added a column")
                quit()

        print("\nImported " + str(len(parsedRows)) + " orders from StackSocial file '" + os.path.basename(path) + "'")
        return parsedRows
Exemplo n.º 7
0
    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
Exemplo n.º 8
0
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:

            # 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'] = 39
            newRow['shortOrderReference'] = validate.clean(row[0])
            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, Ncrowd shipping allocator added a column")
                quit()

    print("Created " + str(len(parsedRows)) + " packages from '" +
          os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 9
0
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:

            # 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'] = 39
            newRow['shortOrderReference'] = validate.clean(row[0])
            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, Ncrowd shipping allocator added a column")
                quit()

        
    print("Created " + str(len(parsedRows)) + " packages from '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 10
0
def getItems(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[13] == '':
                continue  # skip if < 2 cols or no sku

            newRow["shortOrderReference"] = validate.clean(row[0])
            newRow["merchantID"] = 38

            newRow["lineNumber"] = 0
            skuCol = 20
            while skuCol < len(row) and row[skuCol]:
                newRow["lineNumber"] += 1
                newRow["itemSKU"] = row[skuCol]
                newRow["itemQuantity"] = row[skuCol + 1]

                if len(columns) == len(newRow):
                    parsedRows.append(list(newRow.values()))
                else:
                    print("Oops StackSocial item parser added a column")
                    quit()

                skuCol += 2

        print("Imported " + str(len(parsedRows)) +
              " item lines from StackSocial file '" + os.path.basename(path) +
              "'")
        return (parsedRows)
Exemplo n.º 11
0
def getItems(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[13] == "":
                continue  # skip if < 2 cols or no sku

            newRow["shortOrderReference"] = validate.clean(row[0])
            newRow["merchantID"] = 38

            newRow["lineNumber"] = 0
            skuCol = 20
            while skuCol < len(row) and row[skuCol]:
                newRow["lineNumber"] += 1
                newRow["itemSKU"] = row[skuCol]
                newRow["itemQuantity"] = row[skuCol + 1]

                if len(columns) == len(newRow):
                    parsedRows.append(list(newRow.values()))
                else:
                    print("Oops StackSocial item parser added a column")
                    quit()

                skuCol += 2

        print("Imported " + str(len(parsedRows)) + " item lines from StackSocial file '" + os.path.basename(path) + "'")
        return parsedRows
Exemplo n.º 12
0
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][3] == lines[orderStart][3]:
            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
        itemCount = sum([int(row[12]) for row in currentOrder])

        newRow['merchantID'] = 44
        newRow['shortOrderReference'] = validate.clean(currentOrder[0][3])

        if itemCount == 1:
            newRow['bulk'] = 1
            newRow['carrier'] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = float(4/16)
            newRow['note'] = '1-'+currentOrder[0][14]

        else:
            newRow["bulk"] = 0
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = float(4/16);

        # save the package row in completedLines
        if len(columns) == len(newRow):
            parsedRows.append(list(newRow.values()))
        else:
            print("Oops, Sweetjack 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
Exemplo n.º 13
0
def getItems(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()
        prevRow = list()
        next(reader)  # skip first row
        data = sorted(reader, key=operator.itemgetter(0))

        for row in data:

            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]:

                # if this is another row of the same item
                if row[36] == prevRow[36]:
                    # grab the last row and increment the qty
                    parsedRows[-1][5] = int(parsedRows[-1][5]) + 1
                    continue  # ignore this line

                # else, make a new line
                lineNumber += 1
            else:
                lineNumber = 1

            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow['lineNumber'] = lineNumber
            newRow['itemTitle'] = validate.clean(row[3])
            newRow['itemSKU'] = validate.clean(row[36])
            newRow['itemQuantity'] = validate.clean(row[12])

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Restaurant item parser added a column")
                quit()

            prevRow = row

    print("Imported " + str(len(parsedRows)) +
          " item rows from Restaurant file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 14
0
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'] = 46

            newRow['completeOrderReference'] = validate.clean(row[0])
            newRow['shortOrderReference'] = validate.clean(row[0].split('_')[-1])
            newRow['fullName'] = validate.clean(row[5]) + ' ' + validate.clean(row[6])
            newRow["originFile"] = os.path.basename(path)
            newRow['address1'] = validate.clean(row[7])
            newRow['town'] = validate.clean(row[6])
            newRow['packingSlip'] = 1
            
            newRow['country'] = 'US'
            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[9]), newRow['country'])
            if not newRow['region']:
                msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += 'Could not validate region: ' + row[9]
                errors.append(msg)
                continue

            newRow['postCode'] = validate.postCode(validate.clean(row[10]), 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[10]
                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
Exemplo n.º 15
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def getItems(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()
        prevRow = list()
        next(reader) # skip first row
        data = sorted(reader, key=operator.itemgetter(0))

        for row in data:

            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]:

                # if this is another row of the same item
                if row[36] == prevRow[36]:
                    # grab the last row and increment the qty
                    parsedRows[-1][5] = int(parsedRows[-1][5]) + 1
                    continue # ignore this line

                # else, make a new line
                lineNumber += 1
            else:
                lineNumber = 1

            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow['lineNumber'] = lineNumber
            newRow['itemTitle'] = validate.clean(row[3])
            newRow['itemSKU'] = validate.clean(row[36])
            newRow['itemQuantity'] = validate.clean(row[12])

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Restaurant item parser added a column")
                quit()

            prevRow = row

    print("Imported " + str(len(parsedRows)) + " item rows from Restaurant file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 16
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    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
Exemplo n.º 17
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def getItems(path, columns):
    with open(path) 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

            newRow['merchantID'] = 46
            newRow['shortOrderReference'] = validate.clean(row[0].split('_')[-1])
            newRow['lineNumber'] = lineNumber
            newRow['itemTitle'] = validate.clean(row[2])
            newRow['itemSKU'] = row[2].split('(')[-1][:-1] # extract sku from () in title
            newRow['itemQuantity'] = validate.clean(row[4])
            

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Half Off Deals item parser added a column")
                quit()

            prevRow = row

    print("Imported " + str(len(parsedRows)) + " item rows from Lightake file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 18
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def getPackages(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[20] == '':
                continue  # skip if < 2 cols or no sku

            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow['merchantID'] = 38
            newRow['returnCompany'] = validate.clean(row[4])
            newRow['returnAdd1'] = validate.clean(row[5])
            newRow['returnAdd2'] = validate.clean(row[6])
            newRow['returnCity'] = validate.clean(row[7])
            newRow['returnState'] = validate.clean(row[8])
            newRow['returnZip'] = validate.clean(row[9])
            newRow['bulk'] = 1
            newRow['packageNumber'] = 1
            newRow['carrier'] = 26
            newRow['serviceClass'] = 12

            itemNotes = list()
            skuCol = 20
            while skuCol < len(row) and row[skuCol]:
                itemNotes.append(row[skuCol + 1] + '-' +
                                 row[skuCol])  # add sku and quantity to note
                skuCol += 2
            newRow['note'] = ','.join(itemNotes)

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops StackSocial package parser added a column")
                quit()

        print("Imported " + str(len(parsedRows)) +
              " packages from StackSocial file '" + os.path.basename(path) +
              "'")
        return parsedRows
Exemplo n.º 19
0
def getPackages(path, columns):
    with open(path) as file:
        reader = csv.reader(file)
        parsedRows = list()

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[20] == "":
                continue  # skip if < 2 cols or no sku

            newRow["shortOrderReference"] = validate.clean(row[0])
            newRow["merchantID"] = 38
            newRow["returnCompany"] = validate.clean(row[4])
            newRow["returnAdd1"] = validate.clean(row[5])
            newRow["returnAdd2"] = validate.clean(row[6])
            newRow["returnCity"] = validate.clean(row[7])
            newRow["returnState"] = validate.clean(row[8])
            newRow["returnZip"] = validate.clean(row[9])
            newRow["bulk"] = 1
            newRow["packageNumber"] = 1
            newRow["carrier"] = 26
            newRow["serviceClass"] = 12

            itemNotes = list()
            skuCol = 20
            while skuCol < len(row) and row[skuCol]:
                itemNotes.append(row[skuCol + 1] + "-" + row[skuCol])  # add sku and quantity to note
                skuCol += 2
            newRow["note"] = ",".join(itemNotes)

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops StackSocial package parser added a column")
                quit()

        print("Imported " + str(len(parsedRows)) + " packages from StackSocial file '" + os.path.basename(path) + "'")
        return parsedRows
Exemplo n.º 20
0
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
Exemplo n.º 21
0
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
Exemplo n.º 22
0
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
Exemplo n.º 23
0
    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
Exemplo n.º 24
0
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][3] == lines[orderStart][3]:
            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
        itemCount = sum([int(row[12]) for row in currentOrder])

        newRow['merchantID'] = 44
        newRow['shortOrderReference'] = validate.clean(currentOrder[0][3])

        if itemCount == 1:
            newRow['bulk'] = 1
            newRow['carrier'] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = float(4 / 16)
            newRow['note'] = '1-' + currentOrder[0][14]

        else:
            newRow["bulk"] = 0
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow['weight'] = float(4 / 16)

        # save the package row in completedLines
        if len(columns) == len(newRow):
            parsedRows.append(list(newRow.values()))
        else:
            print("Oops, Sweetjack 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
Exemplo n.º 25
0
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

        for row in reader:

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            if len(row) < 2 or row[13] == '':
                continue  # skip if < 2 cols or no sku

            newRow['companyCode'] = 113
            newRow["completeOrderReference"] = validate.clean(row[0])
            newRow["shortOrderReference"] = validate.clean(row[0])
            newRow["originFile"] = os.path.basename(path)
            newRow["merchantID"] = 38
            newRow["fullName"] = validate.clean(row[11] + " " + row[12])
            newRow["phoneNumber"] = "".join(
                [char for char in row[18] if str.isdigit(char)])
            newRow["address1"] = validate.clean(row[13])
            newRow['address2'] = validate.clean(row[14])
            newRow["town"] = validate.clean(row[15])
            newRow['packingSlip'] = 0

            newRow["country"] = validate.country(validate.clean(row[18]))
            if not newRow['country']:
                msg = newRow[
                    'completeOrderReference'] + " from file '" + os.path.basename(
                        path) + "' was skipped.\n"
                msg += 'Could not validate country: ' + row[18] + '\n'
                errors.append(msg)
                continue

            newRow["region"] = validate.region(validate.clean(row[16]),
                                               newRow['country'])
            if not newRow['region']:
                msg = newRow[
                    'completeOrderReference'] + " from file '" + os.path.basename(
                        path) + "' was skipped.\n"
                msg += 'Could not validate region: ' + row[16] + '\n'
                errors.append(msg)
                continue

            newRow["postCode"] = validate.postCode(validate.clean(row[17]),
                                                   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[17] + '\n'
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops StackSocial order parser added a column")
                quit()

        print("\nImported " + str(len(parsedRows)) +
              " orders from StackSocial file '" + os.path.basename(path) + "'")
        return parsedRows
Exemplo n.º 26
0
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 not row[0]:
                continue  # skip if < 2 cols no order number

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            company = os.path.split(os.path.dirname(path))[1]
            if company.upper() == 'BETAFRESH':
                newRow['companyCode'] = 113
            elif company.upper() == 'MARVELLOUS':
                newRow['companyCode'] = 112
            else:
                print('Unknown company:' + company)
                quit()

            newRow['merchantID'] = 36
            newRow['completeOrderReference'] = validate.clean(row[0])
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow["originFile"] = os.path.basename(path)
            newRow['fullName'] = validate.clean(row[6])
            newRow['phoneNumber'] = validate.phone(row[40])
            newRow['address1'] = validate.clean(row[7])
            newRow['address2'] = validate.clean(row[8])
            newRow['town'] = validate.clean(row[9])
            newRow['packingSlip'] = 1

            newRow['country'] = validate.country(validate.clean(row[12]))
            if not newRow['country']:
                msg = newRow[
                    'completeOrderReference'] + " from file '" + os.path.basename(
                        path) + "' was skipped.\n"
                msg += 'Could not validate country: ' + row[12]
                errors.append(msg)
                continue

            newRow['region'] = validate.region(validate.clean(row[10]),
                                               newRow['country'])
            if not newRow['region']:
                msg = newRow[
                    'completeOrderReference'] + " from file '" + os.path.basename(
                        path) + "' was skipped.\n"
                msg += 'Could not validate region: ' + row[10]
                errors.append(msg)
                continue

            newRow['postCode'] = validate.postCode(validate.clean(row[11]),
                                                   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[11]
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Groupon order parser added a column")
                quit()

    print("\nImported " + str(len(parsedRows)) +
          " orders from Groupon file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 27
0
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
Exemplo n.º 28
0
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
Exemplo n.º 29
0
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
Exemplo n.º 30
0
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
Exemplo n.º 31
0
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
Exemplo n.º 32
0
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'] = 46
        newRow['shortOrderReference'] = validate.clean(currentOrder[0][0].split('_')[-1])
        newRow['returnCompany'] = 'Half Off Deals'
        newRow['returnAdd1'] = '8900 Rosehill Rd'
        newRow['returnAdd2'] = 'Unit B Dock'
        newRow['returnCity'] = 'Lenexa'
        newRow['returnState'] = 'KS'
        newRow['returnZip'] = '66215'

        itemCount = sum(int(row[4]) if row[4] else 0 for row in currentOrder)

        if itemCount == 1:
            line = currentOrder[0]
            sku = line[2].split('(')[-1][:-1]
            qty = line[4]

            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, Half Off Deals 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
Exemplo n.º 33
0
    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
Exemplo n.º 34
0
    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
Exemplo n.º 35
0
def getOrders(path, columns):
    with open(path) as file:
        prevRow = list()
        parsedRows = list()
        reader = csv.reader(file)
        next(reader)  # skip header row
        data = sorted(reader, key=operator.itemgetter(0))

        for row in data:

            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'] = 42

            newRow['completeOrderReference'] = validate.clean(row[0])
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow["originFile"] = os.path.basename(path)
            newRow['fullName'] = validate.clean(row[17])
            newRow['phoneNumber'] = validate.phone(row[7])
            newRow['address1'] = validate.clean(row[18])
            newRow['address2'] = validate.clean(row[19])
            newRow['town'] = validate.clean(row[20])
            newRow['packingSlip'] = 1

            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]
                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 region: ' + row[21]
                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]
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Restaurant order parser added a column")
                quit()

            prevRow = row

    print("\nImported " + str(len(parsedRows)) +
          " orders from Restaurant file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 36
0
def getPackages(path, columns):

    lines = list()
    parsedRows = list()

    with open(path) as file:
        reader = csv.reader(file)
        next(reader) # skip header row
        data = sorted(reader, key=operator.itemgetter(0))
        for row in data:
            # 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 orderEnd < len(lines) and lines[orderStart][0] == lines[orderEnd][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

        # count skus to set for unique set
        skus = set()
        for line in currentOrder:
            skus.add(line[36])

        if len(skus) == 1:
            sku = skus.pop()
            qty = sum(int(row[12]) for row in currentOrder)
            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(currentOrder[0][0])
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow["bulk"] = 1
            newRow['note'] = str(qty) + '-' + sku

            # save the package row in completedLines
            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Restaurant shipping allocator added a column")
                quit()

        else: 
            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(currentOrder[0][0])
            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, Restaurant 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
Exemplo n.º 37
0
    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
Exemplo n.º 38
0
def getPackages(path, columns):

    lines = list()
    parsedRows = list()

    with open(path) as file:
        reader = csv.reader(file)
        next(reader)  # skip header row
        data = sorted(reader, key=operator.itemgetter(0))
        for row in data:
            # 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 orderEnd < len(
                lines) and lines[orderStart][0] == lines[orderEnd][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

        # count skus to set for unique set
        skus = set()
        for line in currentOrder:
            skus.add(line[36])

        if len(skus) == 1:
            sku = skus.pop()
            qty = sum(int(row[12]) for row in currentOrder)
            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(currentOrder[0][0])
            newRow["carrier"] = 26
            newRow['serviceClass'] = 12
            newRow["bulk"] = 1
            newRow['note'] = str(qty) + '-' + sku

            # save the package row in completedLines
            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Restaurant shipping allocator added a column")
                quit()

        else:
            newRow['merchantID'] = 42
            newRow['shortOrderReference'] = validate.clean(currentOrder[0][0])
            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, Restaurant 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
Exemplo n.º 39
0
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 not row[0]:
                continue # skip if < 2 cols no order number

            # create a new ordered dictionary to hold the row info
            newRow = collections.OrderedDict.fromkeys(columns)

            company = os.path.split(os.path.dirname(path))[1]
            if company.upper() == 'BETAFRESH':
                newRow['companyCode'] = 113
            elif company.upper() == 'MARVELLOUS':
                newRow['companyCode'] = 112
            else:
                print('Unknown company:' + company)
                quit()
                
            newRow['merchantID'] = 36
            newRow['completeOrderReference'] = validate.clean(row[0])
            newRow['shortOrderReference'] = validate.clean(row[0])
            newRow["originFile"] = os.path.basename(path)
            newRow['fullName'] = validate.clean(row[6])
            newRow['phoneNumber'] = validate.phone(row[40])
            newRow['address1'] = validate.clean(row[7])
            newRow['address2'] = validate.clean(row[8])
            newRow['town'] = validate.clean(row[9])
            newRow['packingSlip'] = 1
            
            newRow['country'] = validate.country(validate.clean(row[12]))
            if not newRow['country']:
                msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += 'Could not validate country: ' + row[12]
                errors.append(msg)
                continue

            newRow['region'] = validate.region(validate.clean(row[10]), newRow['country'])
            if not newRow['region']:
                msg = newRow['completeOrderReference'] + " from file '" + os.path.basename(path) + "' was skipped.\n"
                msg += 'Could not validate region: ' + row[10]
                errors.append(msg)
                continue

            newRow['postCode'] = validate.postCode(validate.clean(row[11]), 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[11]
                errors.append(msg)
                continue

            if len(columns) == len(newRow):
                parsedRows.append(list(newRow.values()))
            else:
                print("Oops, Groupon order parser added a column")
                quit()

    print("\nImported " + str(len(parsedRows)) + " orders from Groupon file '" + os.path.basename(path) + "'")
    return parsedRows
Exemplo n.º 40
0
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
Exemplo n.º 41
0
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