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from elixir import *
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from sqlalchemy.sql import or_ ,func, asc
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from shop2020.config.client.ConfigClient import ConfigClient
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from shop2020.model.v1.catalog.impl import DataService
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from shop2020.model.v1.catalog.script import FlipkartScraper
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from shop2020.model.v1.catalog.impl.DataService import FlipkartItem, MarketplaceItems, Item, \
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Category, SourcePercentageMaster, MarketPlaceHistory, MarketPlaceUpdateHistory, MarketPlaceItemPrice, \
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SourceCategoryPercentage, SourceItemPercentage
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from shop2020.thriftpy.model.v1.order.ttypes import OrderSource
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from shop2020.thriftpy.model.v1.catalog.ttypes import CompetitionCategory, CompetitionBasis, SalesPotential,\
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Decision, RunType
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from shop2020.clients.CatalogClient import CatalogClient
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from shop2020.clients.InventoryClient import InventoryClient
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import urllib2
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import requests
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import time
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from datetime import date, datetime, timedelta
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from shop2020.utils import EmailAttachmentSender
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from shop2020.utils.EmailAttachmentSender import get_attachment_part
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import math
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from operator import itemgetter
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from functools import partial
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import simplejson as json
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import xlwt
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import optparse
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import sys
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import smtplib
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import threading
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from multiprocessing import Process
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from email.mime.text import MIMEText
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import email
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from email.mime.multipart import MIMEMultipart
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import email.encoders
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import cookielib
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from multiprocessing import Pool
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from multiprocessing.dummy import Pool as ThreadPool
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config_client = ConfigClient()
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host = config_client.get_property('staging_hostname')
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syncPrice=config_client.get_property('sync_price_on_marketplace')
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DataService.initialize(db_hostname=host)
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inventoryMap = {}
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itemSaleMap = {}
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scraper = FlipkartScraper.FlipkartScraper()
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categoryMap = {}
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class __FlipkartDetails:
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def __init__(self,rank ,ourSp , secondLowestSellerSp, prefSellerSp, lowestSellerSp, lowestSellerScore, prefSellerScore, secondLowestSellerScore, ourScore, shippingTimeLowerLimitLowestSeller,shippingTimeUpperLimitLowestSeller, \
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shippingTimeLowerLimitPrefSeller, shippingTimeUpperLimitPrefSeller, shippingTimeLowerLimitOur, shippingTimeUpperLimitOur, shippingTimeLowerLimitSecondLowestSeller, shippingTimeUpperLimitSecondLowestSeller, totalAvailableSeller, lowestSellerName, lowestSellerCode, secondLowestSellerName, secondLowestSellerCode, prefSellerName, prefSellerCode, lowestSellerBuyTrend, \
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ourBuyTrend, prefSellerBuyTrend, secondLowestSellerBuyTrend, ourCode ):
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self.rank = rank
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self.ourSp = ourSp
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self.secondLowestSellerSp = secondLowestSellerSp
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self.prefSellerSp = prefSellerSp
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self.lowestSellerSp = lowestSellerSp
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self.lowestSellerScore = lowestSellerScore
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self.prefSellerScore = prefSellerScore
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self.secondLowestSellerScore = secondLowestSellerScore
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self.ourScore = ourScore
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self.shippingTimeLowerLimitLowestSeller = shippingTimeLowerLimitLowestSeller
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self.shippingTimeUpperLimitLowestSeller = shippingTimeUpperLimitLowestSeller
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self.shippingTimeLowerLimitPrefSeller = shippingTimeLowerLimitPrefSeller
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self.shippingTimeUpperLimitPrefSeller = shippingTimeUpperLimitPrefSeller
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self.shippingTimeLowerLimitOur = shippingTimeLowerLimitOur
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self.shippingTimeUpperLimitOur = shippingTimeUpperLimitOur
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self.shippingTimeLowerLimitSecondLowestSeller = shippingTimeLowerLimitSecondLowestSeller
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self.shippingTimeUpperLimitSecondLowestSeller = shippingTimeUpperLimitSecondLowestSeller
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self.totalAvailableSeller = totalAvailableSeller
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self.lowestSellerName = lowestSellerName
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self.lowestSellerCode = lowestSellerCode
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self.secondLowestSellerName = secondLowestSellerName
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self.secondLowestSellerCode = secondLowestSellerCode
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self.prefSellerName = prefSellerName
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self.prefSellerCode = prefSellerCode
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self.lowestSellerBuyTrend = lowestSellerBuyTrend
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self.ourBuyTrend = ourBuyTrend
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self.prefSellerBuyTrend = prefSellerBuyTrend
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self.secondLowestSellerBuyTrend = secondLowestSellerBuyTrend
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self.ourCode = ourCode
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class __FlipkartItemInfo:
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def __init__(self, fkSerialNumber, nlc, courierCost, item_id, product_group, brand, model_name, model_number, color, weight, parent_category, risky, warehouseId, vatRate, runType, parent_category_name, sourcePercentage, ourFlipkartInventory, skuAtFlipkart, flipkartDetails, stateId):
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self.fkSerialNumber = fkSerialNumber
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self.nlc = nlc
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self.courierCost = courierCost
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self.item_id = item_id
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self.product_group = product_group
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self.brand = brand
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self.model_name = model_name
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self.model_number = model_number
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self.color = color
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self.weight = weight
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self.parent_category = parent_category
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self.risky = risky
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self.warehouseId = warehouseId
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self.vatRate = vatRate
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self.runType = runType
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self.parent_category_name = parent_category_name
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self.sourcePercentage = sourcePercentage
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self.ourFlipkartInventory = ourFlipkartInventory
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self.skuAtFlipkart = skuAtFlipkart
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self.flipkartDetails = flipkartDetails
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self.stateId = stateId
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class __FlipkartPricing:
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def __init__(self, ourSp, ourTp, lowestTp, lowestPossibleTp, secondLowestSellerTp, lowestPossibleSp, prefSellerTp):
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self.ourTp = ourTp
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self.lowestTp = lowestTp
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self.lowestPossibleTp = lowestPossibleTp
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self.ourSp = ourSp
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self.secondLowestSellerTp = secondLowestSellerTp
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self.lowestPossibleSp = lowestPossibleSp
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self.prefSellerTp = prefSellerTp
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def markReasonForMpItem(mpHistory,reason,decision):
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mpHistory.decision = decision
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mpHistory.reason = reason
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def fetchItemsForAutoDecrease(time):
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successfulAutoDecrease = []
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autoDecrementItems = session.query(MarketPlaceHistory).join((MarketplaceItems,MarketPlaceHistory.item_id==MarketplaceItems.itemId))\
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.filter(MarketPlaceHistory.timestamp==time).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).filter(or_(MarketPlaceHistory.competitiveCategory==CompetitionCategory.COMPETITIVE,MarketPlaceHistory.competitiveCategory==CompetitionCategory.PREF_BUT_NOT_CHEAP ))\
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.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketplaceItems.autoDecrement==True).all()
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inventory_client = InventoryClient().get_client()
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global inventoryMap
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inventoryMap = inventory_client.getInventorySnapshot(0)
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for autoDecrementItem in autoDecrementItems:
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if not autoDecrementItem.risky:
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markReasonForMpItem(autoDecrementItem,'Item is not risky',Decision.AUTO_DECREMENT_FAILED)
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continue
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if math.ceil(autoDecrementItem.proposedSellingPrice) >= autoDecrementItem.ourSellingPrice:
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markReasonForMpItem(autoDecrementItem,'Proposed SP greater than or equal to current SP',Decision.AUTO_DECREMENT_FAILED)
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continue
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if autoDecrementItem.proposedSellingPrice < autoDecrementItem.lowestPossibleSp:
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markReasonForMpItem(autoDecrementItem,'Proposed SP less than lowest possible SP',Decision.AUTO_DECREMENT_FAILED)
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continue
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totalAvailability, totalReserved = 0,0
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if (not inventoryMap.has_key(autoDecrementItem.item_id)):
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markReasonForMpItem(autoDecrementItem,'Inventory info not available',Decision.AUTO_DECREMENT_FAILED)
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continue
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itemInventory=inventoryMap[autoDecrementItem.item_id]
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availableMap = itemInventory.availability
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reserveMap = itemInventory.reserved
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for warehouse,availability in availableMap.iteritems():
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if warehouse==16:
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continue
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totalAvailability = totalAvailability+availability
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for warehouse,reserve in reserveMap.iteritems():
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if warehouse==16:
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continue
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totalReserved = totalReserved+reserve
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if (totalAvailability-totalReserved)<=0:
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markReasonForMpItem(autoDecrementItem,'Net availability is 0',Decision.AUTO_DECREMENT_FAILED)
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continue
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avgSalePerDay = (itemSaleMap.get(autoDecrementItem.item_id))[2]
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try:
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daysOfStock = (float(totalAvailability-totalReserved))/avgSalePerDay
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except ZeroDivisionError,e:
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daysOfStock = float("inf")
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if daysOfStock<2:
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markReasonForMpItem(autoDecrementItem,'Our stock is not enough',Decision.AUTO_DECREMENT_FAILED)
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continue
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if autoDecrementItem.competitiveCategory == CompetitionCategory.PREF_BUT_NOT_CHEAP:
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avgSaleLastTwoDay = (itemSaleMap.get(autoDecrementItem.item_id))[6]
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if avgSaleLastTwoDay >= 3:
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markReasonForMpItem(autoDecrementItem,'Last two day avg sale is greater than 2',Decision.AUTO_DECREMENT_FAILED)
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continue
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autoDecrementItem.ourEnoughStock = True
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autoDecrementItem.decision = Decision.AUTO_DECREMENT_SUCCESS
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autoDecrementItem.reason = 'All conditions for auto decrement true'
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successfulAutoDecrease.append(autoDecrementItem)
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session.commit()
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return successfulAutoDecrease
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def fetchItemsForAutoIncrease(time):
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successfulAutoIncrease = []
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autoIncrementItems = session.query(MarketPlaceHistory).join((MarketplaceItems,MarketPlaceHistory.item_id==MarketplaceItems.itemId))\
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.filter(MarketPlaceHistory.timestamp==time).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.BUY_BOX)\
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.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketplaceItems.autoIncrement==True).all()
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for autoIncrementItem in autoIncrementItems:
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if not autoIncrementItem.competitiveCategory == CompetitionCategory.BUY_BOX:
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markReasonForMpItem(autoIncrementItem,'Category is '+CompetitionCategory._VALUES_TO_NAMES.get(autoIncrementItem.competitiveCategory),Decision.AUTO_INCREMENT_FAILED)
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continue
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if autoIncrementItem.totalSeller==1 and autoIncrementItem.ourRank==1:
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markReasonForMpItem(autoIncrementItem,'We are the only seller',Decision.AUTO_INCREMENT_FAILED)
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continue
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if autoIncrementItem.proposedSellingPrice <= autoIncrementItem.ourSellingPrice:
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markReasonForMpItem(autoIncrementItem,'Proposed SP less than current SP',Decision.AUTO_INCREMENT_FAILED)
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continue
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if autoIncrementItem.proposedSellingPrice >=10000 and autoIncrementItem.ourSellingPrice<10000:
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markReasonForMpItem(autoIncrementItem,'Proposed SP is greater than 10,000 and current sp is less than 10,000',Decision.AUTO_INCREMENT_FAILED)
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continue
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if getLastDaySale(autoIncrementItem.item_id)<=2:
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markReasonForMpItem(autoIncrementItem,'Last day sale is less than 3',Decision.AUTO_INCREMENT_FAILED)
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continue
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antecedentPrice = session.query(MarketPlaceHistory.ourSellingPrice).filter(MarketPlaceHistory.item_id==autoIncrementItem.item_id).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.timestamp>time-timedelta(days=1)).order_by(asc(MarketPlaceHistory.timestamp)).first()
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if antecedentPrice is not None:
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if float(math.ceil(autoIncrementItem.ourSellingPrice+max(10,.01*autoIncrementItem.ourSellingPrice))-math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0])))/math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0]))>.02:
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markReasonForMpItem(autoIncrementItem,'Maximum price increase in last 24 hours should be 2%',Decision.AUTO_INCREMENT_FAILED)
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continue
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mpItem = MarketplaceItems.get_by(itemId=autoIncrementItem.item_id,source=OrderSource.FLIPKART)
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if mpItem.maximumSellingPrice is not None and mpItem.maximumSellingPrice > 0:
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if autoIncrementItem.ourSellingPrice+max(10,.01*autoIncrementItem.ourSellingPrice) > mpItem.maximumSellingPrice:
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markReasonForMpItem(autoIncrementItem,'Price cannot exceed Maximum Selling Price',Decision.AUTO_INCREMENT_FAILED)
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continue
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#oosStatus = inventory_client.getOosStatusesForXDaysForItem(autoIncrementItem.item_id,0,3)
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#count,sale,daysOfStock = 0,0,0
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#for obj in oosStatus:
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# if not obj.is_oos:
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# count+=1
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# sale = sale+obj.num_orders
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#avgSalePerDay=0 if count==0 else (float(sale)/count)
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totalAvailability, totalReserved = 0,0
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if (not inventoryMap.has_key(autoIncrementItem.item_id)):
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markReasonForMpItem(autoIncrementItem,'Inventory info not available',Decision.AUTO_INCREMENT_FAILED)
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continue
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itemInventory=inventoryMap[autoIncrementItem.item_id]
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availableMap = itemInventory.availability
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reserveMap = itemInventory.reserved
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for warehouse,availability in availableMap.iteritems():
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if warehouse==16:
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continue
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totalAvailability = totalAvailability+availability
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for warehouse,reserve in reserveMap.iteritems():
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if warehouse==16:
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continue
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totalReserved = totalReserved+reserve
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#if (totalAvailability-totalReserved)<=0:
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# markReasonForMpItem(autoIncrementItem,'Our stock is 0',Decision.AUTO_INCREMENT_FAILED)
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# continue
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avgSalePerDay = (itemSaleMap.get(autoIncrementItem.item_id))[2]
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if (avgSalePerDay==0):
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markReasonForMpItem(autoIncrementItem,'Average sale per day is zero',Decision.AUTO_INCREMENT_FAILED)
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continue
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daysOfStock = (float(totalAvailability-totalReserved))/avgSalePerDay
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if daysOfStock>5:
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markReasonForMpItem(autoIncrementItem,'Our stock is enough',Decision.AUTO_INCREMENT_FAILED)
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continue
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autoIncrementItem.ourEnoughStock = False
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autoIncrementItem.decision = Decision.AUTO_INCREMENT_SUCCESS
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autoIncrementItem.reason = 'All conditions for auto increment true'
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successfulAutoIncrease.append(autoIncrementItem)
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session.commit()
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return successfulAutoIncrease
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def commitExceptionList(exceptionList,timestamp):
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exceptionItems=[]
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for item in exceptionList:
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mpHistory = MarketPlaceHistory()
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mpHistory.item_id =item.item_id
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mpHistory.source = OrderSource.FLIPKART
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mpHistory.competitiveCategory = CompetitionCategory.EXCEPTION
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mpHistory.risky = item.risky
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mpHistory.timestamp = timestamp
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mpHistory.run = RunType._NAMES_TO_VALUES.get(item.runType)
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exceptionItems.append(mpHistory)
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session.commit()
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return exceptionItems
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def commitCantCompete(cantCompete,timestamp):
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for item in cantCompete:
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flipkartDetails = item[0]
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flipkartItemInfo = item[1]
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flipkartPricing = item[2]
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mpItem = item[3]
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mpHistory = MarketPlaceHistory()
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mpHistory.item_id = flipkartItemInfo.item_id
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mpHistory.source = OrderSource.FLIPKART
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mpHistory.lowestTp = flipkartPricing.lowestTp
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mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
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283 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
284 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
285 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
286 |
mpHistory.competitiveCategory = CompetitionCategory.CANT_COMPETE
|
|
|
287 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
288 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
289 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
290 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
291 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
292 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
293 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
294 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
295 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
296 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
297 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
298 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
299 |
mpHistory.ourShippingTime = ''
|
|
|
300 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
301 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
302 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
303 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
304 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
305 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
306 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
307 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
308 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
309 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
310 |
proposed_sp = flipkartDetails.lowestSellerSp - max(10, flipkartDetails.lowestSellerSp*0.001)
|
|
|
311 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
312 |
target_nlc = proposed_tp - flipkartPricing.lowestPossibleTp + flipkartItemInfo.nlc
|
|
|
313 |
mpHistory.proposedSellingPrice = round(proposed_sp,2)
|
|
|
314 |
mpHistory.proposedTp = round(proposed_tp,2)
|
|
|
315 |
mpHistory.targetNlc = round(target_nlc,2)
|
|
|
316 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
317 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
318 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
319 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
320 |
mpHistory.timestamp = timestamp
|
|
|
321 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
322 |
session.commit()
|
|
|
323 |
|
|
|
324 |
def commitBuyBox(buyBoxItems,timestamp):
|
|
|
325 |
for item in buyBoxItems:
|
|
|
326 |
flipkartDetails = item[0]
|
|
|
327 |
flipkartItemInfo = item[1]
|
|
|
328 |
flipkartPricing = item[2]
|
|
|
329 |
mpItem = item[3]
|
|
|
330 |
mpHistory = MarketPlaceHistory()
|
|
|
331 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
332 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
333 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
334 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
335 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
336 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
337 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
338 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
339 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
340 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
341 |
mpHistory.ourShippingTime = ''
|
|
|
342 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
343 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
344 |
mpHistory.competitiveCategory = CompetitionCategory.BUY_BOX
|
|
|
345 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
346 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
347 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
348 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
349 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
350 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
351 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
352 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
353 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
354 |
proposed_sp = max(flipkartDetails.secondLowestSellerSp - max((20, flipkartDetails.secondLowestSellerSp*0.002)), flipkartPricing.lowestPossibleSp)
|
|
|
355 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
356 |
#target_nlc = proposed_tp - flipkartPricing.lowestPossibleTp + flipkartItemInfo.nlc
|
|
|
357 |
mpHistory.proposedSellingPrice = round(proposed_sp,2)
|
|
|
358 |
mpHistory.proposedTp = round(proposed_tp,2)
|
|
|
359 |
#mpHistory.targetNlc = target_nlc
|
|
|
360 |
mpHistory.secondLowestSellerName = flipkartDetails.secondLowestSellerName
|
|
|
361 |
mpHistory.secondLowestSellerCode = flipkartDetails.secondLowestSellerCode
|
|
|
362 |
mpHistory.secondLowestSellingPrice = flipkartDetails.secondLowestSellerSp
|
|
|
363 |
mpHistory.secondLowestTp = flipkartPricing.secondLowestSellerTp
|
|
|
364 |
mpHistory.secondLowestSellerRating = flipkartDetails.secondLowestSellerScore
|
|
|
365 |
mpHistory.secondLowestSellerShippingTime = ''
|
|
|
366 |
mpHistory.secondLowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller) if flipkartDetails.shippingTimeUpperLimitSecondLowestSeller==0\
|
|
|
367 |
else str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitSecondLowestSeller)
|
|
|
368 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
369 |
mpHistory.marginIncreasedPotential = proposed_tp - flipkartPricing.ourTp
|
|
|
370 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
371 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
372 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
373 |
mpHistory.timestamp = timestamp
|
|
|
374 |
session.commit()
|
|
|
375 |
|
|
|
376 |
def commitCompetitiveNoInventory(competitiveNoInventory,timestamp):
|
|
|
377 |
for item in competitiveNoInventory:
|
|
|
378 |
flipkartDetails = item[0]
|
|
|
379 |
flipkartItemInfo = item[1]
|
|
|
380 |
flipkartPricing = item[2]
|
|
|
381 |
mpItem = item[3]
|
|
|
382 |
mpHistory = MarketPlaceHistory()
|
|
|
383 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
384 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
385 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
386 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
387 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
388 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
389 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
390 |
mpHistory.competitiveCategory = CompetitionCategory.COMPETITIVE_NO_INVENTORY
|
|
|
391 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
392 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
393 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
394 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
395 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
396 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
397 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
398 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
399 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
400 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
401 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
402 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
403 |
mpHistory.ourShippingTime = ''
|
|
|
404 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
405 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
406 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
407 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
408 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
409 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
410 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
411 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
412 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
413 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
414 |
proposed_sp = max(flipkartDetails.lowestSellerSp - max((10, flipkartDetails.lowestSellerSp*0.001)), flipkartPricing.lowestPossibleSp)
|
|
|
415 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
416 |
mpHistory.proposedSellingPrice = round(proposed_sp,2)
|
|
|
417 |
mpHistory.proposedTp = round(proposed_tp,2)
|
|
|
418 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
419 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
420 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
421 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
422 |
mpHistory.timestamp = timestamp
|
|
|
423 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
424 |
session.commit()
|
|
|
425 |
|
|
|
426 |
def commitCompetitive(competitive,timestamp):
|
|
|
427 |
for item in competitive:
|
|
|
428 |
flipkartDetails = item[0]
|
|
|
429 |
flipkartItemInfo = item[1]
|
|
|
430 |
flipkartPricing = item[2]
|
|
|
431 |
mpItem = item[3]
|
|
|
432 |
mpHistory = MarketPlaceHistory()
|
|
|
433 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
434 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
435 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
436 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
437 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
438 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
439 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
440 |
mpHistory.competitiveCategory = CompetitionCategory.COMPETITIVE
|
|
|
441 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
442 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
443 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
444 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
445 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
446 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
447 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
448 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
449 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
450 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
451 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
452 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
453 |
mpHistory.ourShippingTime = ''
|
|
|
454 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
455 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
456 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
457 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
458 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
459 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
460 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
461 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
462 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
463 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
464 |
proposed_sp = max(flipkartDetails.lowestSellerSp - max((10, flipkartDetails.lowestSellerSp*0.001)), flipkartPricing.lowestPossibleSp)
|
|
|
465 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
466 |
mpHistory.proposedSellingPrice = round(proposed_sp,2)
|
|
|
467 |
mpHistory.proposedTp = round(proposed_tp,2)
|
|
|
468 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
469 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
470 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
471 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
472 |
mpHistory.timestamp = timestamp
|
|
|
473 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
474 |
session.commit()
|
|
|
475 |
|
|
|
476 |
def commitNegativeMargin(negativeMargin,timestamp):
|
|
|
477 |
for item in negativeMargin:
|
|
|
478 |
flipkartDetails = item[0]
|
|
|
479 |
flipkartItemInfo = item[1]
|
|
|
480 |
flipkartPricing = item[2]
|
|
|
481 |
mpHistory = MarketPlaceHistory()
|
|
|
482 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
483 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
484 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
485 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
486 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
487 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
488 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
489 |
mpHistory.competitiveCategory = CompetitionCategory.NEGATIVE_MARGIN
|
|
|
490 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
491 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
492 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
493 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
494 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
495 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
496 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
497 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
498 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
499 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
500 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
501 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
502 |
mpHistory.ourShippingTime = ''
|
|
|
503 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
504 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
505 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
506 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
507 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
508 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
509 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
510 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
511 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
512 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
513 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
514 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
515 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
516 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
517 |
mpHistory.timestamp = timestamp
|
|
|
518 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
519 |
session.commit()
|
|
|
520 |
|
|
|
521 |
def commitCheapButNotPref(cheapButNotPref,timestamp):
|
|
|
522 |
for item in cheapButNotPref:
|
|
|
523 |
flipkartDetails = item[0]
|
|
|
524 |
flipkartItemInfo = item[1]
|
|
|
525 |
flipkartPricing = item[2]
|
|
|
526 |
mpHistory = MarketPlaceHistory()
|
|
|
527 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
528 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
529 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
530 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
531 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
532 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
533 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
534 |
mpHistory.competitiveCategory = CompetitionCategory.CHEAP_BUT_NOT_PREF
|
|
|
535 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
536 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
537 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
538 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
539 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
540 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
541 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
542 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
543 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
544 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
545 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
546 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
547 |
mpHistory.ourShippingTime = ''
|
|
|
548 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
549 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
550 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
551 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
552 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
553 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
554 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
555 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
556 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
557 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
558 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
559 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
560 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
561 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
562 |
mpHistory.timestamp = timestamp
|
|
|
563 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
564 |
session.commit()
|
|
|
565 |
|
|
|
566 |
def commitPrefButNotCheap(prefButNotCheap,timestamp):
|
|
|
567 |
for item in prefButNotCheap:
|
|
|
568 |
flipkartDetails = item[0]
|
|
|
569 |
flipkartItemInfo = item[1]
|
|
|
570 |
flipkartPricing = item[2]
|
|
|
571 |
mpHistory = MarketPlaceHistory()
|
|
|
572 |
mpHistory.item_id = flipkartItemInfo.item_id
|
|
|
573 |
mpHistory.source = OrderSource.FLIPKART
|
|
|
574 |
mpHistory.lowestTp = flipkartPricing.lowestTp
|
|
|
575 |
mpHistory.lowestPossibleTp = flipkartPricing.lowestPossibleTp
|
|
|
576 |
mpHistory.lowestPossibleSp = flipkartPricing.lowestPossibleSp
|
|
|
577 |
mpHistory.ourInventory = flipkartItemInfo.ourFlipkartInventory
|
|
|
578 |
mpHistory.ourRank = flipkartDetails.rank
|
|
|
579 |
mpHistory.competitiveCategory = CompetitionCategory.PREF_BUT_NOT_CHEAP
|
|
|
580 |
mpHistory.risky = flipkartItemInfo.risky
|
|
|
581 |
mpHistory.lowestSellingPrice = flipkartDetails.lowestSellerSp
|
|
|
582 |
mpHistory.lowestSellerName = flipkartDetails.lowestSellerName
|
|
|
583 |
mpHistory.lowestSellerCode = flipkartDetails.lowestSellerCode
|
|
|
584 |
mpHistory.lowestSellerRating = flipkartDetails.lowestSellerScore
|
|
|
585 |
mpHistory.lowestSellerShippingTime = ''
|
|
|
586 |
mpHistory.lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
587 |
else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
588 |
mpHistory.ourSellingPrice = flipkartPricing.ourSp
|
|
|
589 |
mpHistory.ourTp = flipkartPricing.ourTp
|
|
|
590 |
mpHistory.ourNlc = flipkartItemInfo.nlc
|
|
|
591 |
mpHistory.ourRating = flipkartDetails.ourScore
|
|
|
592 |
mpHistory.ourShippingTime = ''
|
|
|
593 |
mpHistory.ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
594 |
else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
595 |
mpHistory.prefferedSellerName = flipkartDetails.prefSellerName
|
|
|
596 |
mpHistory.prefferedSellerCode = flipkartDetails.prefSellerCode
|
|
|
597 |
mpHistory.prefferedSellerRating = flipkartDetails.prefSellerScore
|
|
|
598 |
mpHistory.prefferedSellerSellingPrice = flipkartDetails.prefSellerSp
|
|
|
599 |
mpHistory.prefferedSellerTp = flipkartPricing.prefSellerTp
|
|
|
600 |
mpHistory.prefferedSellerShippingTime = ''
|
|
|
601 |
mpHistory.prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
602 |
else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
603 |
mpHistory.margin = mpHistory.ourTp - mpHistory.lowestPossibleTp
|
|
|
604 |
mpHistory.totalSeller = flipkartDetails.totalAvailableSeller
|
|
|
605 |
mpHistory.avgSales = (itemSaleMap.get(flipkartItemInfo.item_id))[3]
|
|
|
606 |
mpHistory.salesPotential = SalesPotential._NAMES_TO_VALUES.get(getSalesPotential(flipkartDetails.lowestSellerSp,flipkartItemInfo.nlc))
|
|
|
607 |
mpHistory.timestamp = timestamp
|
|
|
608 |
mpHistory.run = RunType._NAMES_TO_VALUES.get(flipkartItemInfo.runType)
|
|
|
609 |
session.commit()
|
|
|
610 |
|
|
|
611 |
def populateStuff(runType,time):
|
| 11581 |
kshitij.so |
612 |
global itemSaleMap
|
| 11615 |
kshitij.so |
613 |
global categoryMap
|
|
|
614 |
|
| 11193 |
kshitij.so |
615 |
itemInfo = []
|
|
|
616 |
if runType=='FAVOURITE':
|
|
|
617 |
items = session.query(FlipkartItem,MarketplaceItems).join((MarketplaceItems,FlipkartItem.item_id==MarketplaceItems.itemId)).filter(MarketplaceItems.source==OrderSource.FLIPKART).\
|
|
|
618 |
filter(or_(MarketplaceItems.autoFavourite==True, MarketplaceItems.manualFavourite==True)).all()
|
|
|
619 |
else:
|
|
|
620 |
#items = session.query(FlipkartItem,MarketplaceItems).join((MarketplaceItems,FlipkartItem.item_id==MarketplaceItems.itemId)).filter(MarketplaceItems.source==OrderSource.FLIPKART).all()
|
|
|
621 |
items = session.query(FlipkartItem,MarketplaceItems).join((MarketplaceItems,FlipkartItem.item_id==MarketplaceItems.itemId)).filter(MarketplaceItems.source==OrderSource.FLIPKART).all()
|
| 11581 |
kshitij.so |
622 |
|
|
|
623 |
inventory_client = InventoryClient().get_client()
|
|
|
624 |
|
| 11193 |
kshitij.so |
625 |
for item in items:
|
|
|
626 |
flipkart_item = item[0]
|
|
|
627 |
mp_item = item[1]
|
|
|
628 |
it = Item.query.filter_by(id=flipkart_item.item_id).one()
|
|
|
629 |
category = Category.query.filter_by(id=it.category).one()
|
|
|
630 |
parent_category = Category.query.filter_by(id=category.parent_category_id).first()
|
| 11615 |
kshitij.so |
631 |
if not categoryMap.has_key(category.id):
|
|
|
632 |
temp = []
|
| 11616 |
kshitij.so |
633 |
temp.append(category.display_name)
|
|
|
634 |
temp.append(parent_category.display_name)
|
| 11615 |
kshitij.so |
635 |
categoryMap[category.id] = temp
|
| 11193 |
kshitij.so |
636 |
sip = SourceItemPercentage.query.filter(SourceItemPercentage.item_id==it.id).filter(SourceItemPercentage.source==OrderSource.FLIPKART).filter(SourceItemPercentage.startDate<=time).filter(SourceItemPercentage.expiryDate>=time).first()
|
|
|
637 |
sourcePercentage = None
|
|
|
638 |
if sip is not None:
|
|
|
639 |
sourcePercentage = sip
|
|
|
640 |
else:
|
|
|
641 |
scp = SourceCategoryPercentage.query.filter(SourceCategoryPercentage.category_id==it.category).filter(SourceCategoryPercentage.source==OrderSource.FLIPKART).filter(SourceCategoryPercentage.startDate<=time).filter(SourceCategoryPercentage.expiryDate>=time).first()
|
|
|
642 |
if scp is not None:
|
|
|
643 |
sourcePercentage = scp
|
|
|
644 |
else:
|
|
|
645 |
spm = SourcePercentageMaster.get_by(source=OrderSource.FLIPKART)
|
|
|
646 |
sourcePercentage = spm
|
| 11581 |
kshitij.so |
647 |
|
|
|
648 |
warehouse = inventory_client.getWarehouse(flipkart_item.warehouseId)
|
|
|
649 |
itemSaleList = []
|
|
|
650 |
oosForAllSources = inventory_client.getOosStatusesForXDaysForItem(flipkart_item.item_id, 0, 3)
|
|
|
651 |
oosForFlipkart = inventory_client.getOosStatusesForXDaysForItem(flipkart_item.item_id, OrderSource.FLIPKART, 5)
|
|
|
652 |
oosForFlipkartLastDay = inventory_client.getOosStatusesForXDaysForItem(flipkart_item.item_id, OrderSource.FLIPKART, 1)
|
| 11615 |
kshitij.so |
653 |
oosForFlipkartTwoDay = inventory_client.getOosStatusesForXDaysForItem(flipkart_item.item_id, OrderSource.FLIPKART, 2)
|
| 11581 |
kshitij.so |
654 |
itemSaleList.append(oosForAllSources)
|
|
|
655 |
itemSaleList.append(oosForFlipkart)
|
|
|
656 |
itemSaleList.append(calculateAverageSale(oosForAllSources))
|
|
|
657 |
itemSaleList.append(calculateAverageSale(oosForFlipkart))
|
|
|
658 |
itemSaleList.append(calculateAverageSale(oosForFlipkartLastDay))
|
|
|
659 |
itemSaleList.append(calculateTotalSale(oosForFlipkart))
|
| 11615 |
kshitij.so |
660 |
itemSaleList.append(calculateAverageSale(oosForFlipkartTwoDay))
|
| 11581 |
kshitij.so |
661 |
itemSaleMap[flipkart_item.item_id]=itemSaleList
|
|
|
662 |
|
| 11560 |
kshitij.so |
663 |
# try:
|
|
|
664 |
# request_url = "https://api.flipkart.net/sellers/skus/%s/listings"%(str(flipkart_item.skuAtFlipkart))
|
|
|
665 |
# r = requests.get(request_url, auth=('m2z93iskuj81qiid', '0c7ab6a5-98c0-4cdc-8be3-72c591e0add4'))
|
|
|
666 |
# print "Inventory info",r.json()
|
|
|
667 |
# stock_count = int((r.json()['attributeValues'])['stock_count'])
|
|
|
668 |
# except:
|
|
|
669 |
# stock_count = 0
|
| 11581 |
kshitij.so |
670 |
flipkartItemInfo = __FlipkartItemInfo(flipkart_item.flipkartSerialNumber, flipkart_item.maxNlc,mp_item.courierCost, it.id, it.product_group, it.brand, it.model_name, it.model_number, it.color, it.weight, category.parent_category_id, it.risky, flipkart_item.warehouseId, None, runType, parent_category.display_name,sourcePercentage,None,flipkart_item.skuAtFlipkart,None,warehouse.stateId)
|
| 11193 |
kshitij.so |
671 |
itemInfo.append(flipkartItemInfo)
|
|
|
672 |
return itemInfo
|
|
|
673 |
|
|
|
674 |
def fetchDetails(flipkartSerialNumber,scraper):
|
|
|
675 |
url = "http://www.flipkart.com/ps/%s"%(flipkartSerialNumber)
|
|
|
676 |
#url = "http://www.flipkart.com/ps/MOBDTXVZXVY3GFG8"
|
|
|
677 |
scraper.read(url)
|
|
|
678 |
vendorsData = scraper.createData()
|
|
|
679 |
print "Vendor data for flipkartSerialNumber",flipkartSerialNumber
|
|
|
680 |
print "Json Data",vendorsData
|
| 11581 |
kshitij.so |
681 |
sortedVendorsData = []
|
| 11193 |
kshitij.so |
682 |
sortedVendorsData = sorted(vendorsData, key=itemgetter('sellingPrice'))
|
|
|
683 |
rank ,ourSp, iterator, secondLowestSellerSp, prefSellerSp, lowestSellerSp, lowestSellerScore, prefSellerScore, secondLowestSellerScore, ourScore, shippingTimeLowerLimitLowestSeller,shippingTimeUpperLimitLowestSeller, \
|
|
|
684 |
shippingTimeLowerLimitPrefSeller, shippingTimeUpperLimitPrefSeller, shippingTimeLowerLimitOur, shippingTimeUpperLimitOur, shippingTimeLowerLimitSecondLowestSeller, shippingTimeUpperLimitSecondLowestSeller, totalAvailableSeller= (0,)*19
|
|
|
685 |
lowestSellerName, lowestSellerCode, secondLowestSellerName, secondLowestSellerCode, prefSellerName, prefSellerCode, lowestSellerBuyTrend, \
|
|
|
686 |
ourBuyTrend, prefSellerBuyTrend, secondLowestSellerBuyTrend, ourCode = ('',)*11
|
|
|
687 |
for data in sortedVendorsData:
|
|
|
688 |
if iterator == 0:
|
|
|
689 |
lowestSellerName = data['sellerName']
|
|
|
690 |
lowestSellerScore = data['sellerScore']
|
|
|
691 |
lowestSellerCode = data['sellerCode']
|
|
|
692 |
lowestSellerSp = data['sellingPrice']
|
|
|
693 |
lowestSellerBuyTrend = data['buyTrend']
|
|
|
694 |
try:
|
|
|
695 |
shippingTimeLowerLimitLowestSeller, shippingTimeUpperLimitLowestSeller = data['shippingTime'].split('-')
|
|
|
696 |
except ValueError:
|
|
|
697 |
shippingTimeLowerLimitLowestSeller = int(data['shippingTime'])
|
|
|
698 |
|
|
|
699 |
if iterator ==1:
|
|
|
700 |
secondLowestSellerName = data['sellerName']
|
|
|
701 |
secondLowestSellerScore = data['sellerScore']
|
|
|
702 |
secondLowestSellerCode = data['sellerCode']
|
|
|
703 |
secondLowestSellerSp = data['sellingPrice']
|
|
|
704 |
secondLowestSellerBuyTrend = data['buyTrend']
|
|
|
705 |
try:
|
|
|
706 |
shippingTimeLowerLimitSecondLowestSeller, shippingTimeUpperLimitSecondLowestSeller = data['shippingTime'].split('-')
|
|
|
707 |
except ValueError:
|
|
|
708 |
shippingTimeLowerLimitSecondLowestSeller = int(data['shippingTime'])
|
|
|
709 |
|
|
|
710 |
if data['sellerName'] == 'Saholic':
|
|
|
711 |
ourScore = data['sellerScore']
|
|
|
712 |
ourCode = data['sellerCode']
|
|
|
713 |
ourSp = data['sellingPrice']
|
|
|
714 |
ourBuyTrend = data['buyTrend']
|
|
|
715 |
try:
|
|
|
716 |
shippingTimeLowerLimitOur, shippingTimeUpperLimitOur = data['shippingTime'].split('-')
|
|
|
717 |
except ValueError:
|
|
|
718 |
shippingTimeLowerLimitOur = int(data['shippingTime'])
|
|
|
719 |
rank = iterator + 1
|
|
|
720 |
|
|
|
721 |
if data['buyTrend'] in ('PrefCheap','PrefNCheap',''):
|
|
|
722 |
prefSellerName = data['sellerName']
|
|
|
723 |
prefSellerScore = data['sellerScore']
|
|
|
724 |
prefSellerCode = data['sellerCode']
|
|
|
725 |
prefSellerSp = data['sellingPrice']
|
|
|
726 |
prefSellerBuyTrend = data['buyTrend']
|
|
|
727 |
try:
|
|
|
728 |
shippingTimeLowerLimitPrefSeller, shippingTimeUpperLimitPrefSeller = data['shippingTime'].split('-')
|
|
|
729 |
except ValueError:
|
|
|
730 |
shippingTimeLowerLimitPrefSeller = int(data['shippingTime'])
|
|
|
731 |
|
|
|
732 |
iterator+=1
|
|
|
733 |
flipkartDetails = __FlipkartDetails(rank ,ourSp , secondLowestSellerSp, prefSellerSp, lowestSellerSp, lowestSellerScore, prefSellerScore, secondLowestSellerScore, ourScore, int(shippingTimeLowerLimitLowestSeller),int(shippingTimeUpperLimitLowestSeller), \
|
|
|
734 |
int(shippingTimeLowerLimitPrefSeller), int(shippingTimeUpperLimitPrefSeller), int(shippingTimeLowerLimitOur), int(shippingTimeUpperLimitOur), int(shippingTimeLowerLimitSecondLowestSeller), int(shippingTimeUpperLimitSecondLowestSeller), len(sortedVendorsData), lowestSellerName, lowestSellerCode, secondLowestSellerName, secondLowestSellerCode, prefSellerName, prefSellerCode, lowestSellerBuyTrend, \
|
|
|
735 |
ourBuyTrend, prefSellerBuyTrend, secondLowestSellerBuyTrend, ourCode)
|
|
|
736 |
return flipkartDetails
|
|
|
737 |
|
|
|
738 |
def calculateAverageSale(oosStatus):
|
|
|
739 |
count,sale = 0,0
|
|
|
740 |
for obj in oosStatus:
|
|
|
741 |
if not obj.is_oos:
|
|
|
742 |
count+=1
|
|
|
743 |
sale = sale+obj.num_orders
|
|
|
744 |
avgSalePerDay=0 if count==0 else (float(sale)/count)
|
|
|
745 |
return round(avgSalePerDay,2)
|
|
|
746 |
|
|
|
747 |
def calculateTotalSale(oosStatus):
|
|
|
748 |
sale = 0
|
|
|
749 |
for obj in oosStatus:
|
|
|
750 |
if not obj.is_oos:
|
|
|
751 |
sale = sale+obj.num_orders
|
|
|
752 |
return sale
|
|
|
753 |
|
|
|
754 |
def getNetAvailability(itemInventory):
|
|
|
755 |
totalAvailability, totalReserved = 0,0
|
|
|
756 |
availableMap = itemInventory.availability
|
|
|
757 |
reserveMap = itemInventory.reserved
|
|
|
758 |
for warehouse,availability in availableMap.iteritems():
|
|
|
759 |
if warehouse==16:
|
|
|
760 |
continue
|
|
|
761 |
totalAvailability = totalAvailability+availability
|
|
|
762 |
for warehouse,reserve in reserveMap.iteritems():
|
|
|
763 |
if warehouse==16:
|
|
|
764 |
continue
|
|
|
765 |
totalReserved = totalReserved+reserve
|
|
|
766 |
return totalAvailability - totalReserved
|
|
|
767 |
|
|
|
768 |
def getOosString(oosStatus):
|
|
|
769 |
lastNdaySale=""
|
|
|
770 |
for obj in oosStatus:
|
|
|
771 |
if obj.is_oos:
|
|
|
772 |
lastNdaySale += "X-"
|
|
|
773 |
else:
|
|
|
774 |
lastNdaySale += str(obj.num_orders) + "-"
|
|
|
775 |
return lastNdaySale[:-1]
|
|
|
776 |
|
|
|
777 |
def getLastDaySale(itemId):
|
|
|
778 |
return (itemSaleMap.get(itemId))[4]
|
|
|
779 |
|
|
|
780 |
def getSalesPotential(lowestSellingPrice,ourNlc):
|
|
|
781 |
if lowestSellingPrice - ourNlc < 0:
|
|
|
782 |
return 'HIGH'
|
|
|
783 |
elif (float(lowestSellingPrice - ourNlc))/lowestSellingPrice >=0 and (float(lowestSellingPrice - ourNlc))/lowestSellingPrice <=.02:
|
|
|
784 |
return 'MEDIUM'
|
|
|
785 |
else:
|
|
|
786 |
return 'LOW'
|
|
|
787 |
|
| 11571 |
kshitij.so |
788 |
def decideCategory(itemInfo):
|
| 11193 |
kshitij.so |
789 |
global itemSaleMap
|
| 11560 |
kshitij.so |
790 |
|
| 11571 |
kshitij.so |
791 |
cantCompete, buyBoxItems, competitive, competitiveNoInventory, exceptionItems, negativeMargin, cheapButNotPref, prefButNotCheap = [],[],[],[],[],[],[],[]
|
|
|
792 |
|
| 11193 |
kshitij.so |
793 |
catalog_client = CatalogClient().get_client()
|
|
|
794 |
|
| 11571 |
kshitij.so |
795 |
for val in itemInfo:
|
|
|
796 |
spm = val.sourcePercentage
|
|
|
797 |
flipkartDetails = val.flipkartDetails
|
| 11581 |
kshitij.so |
798 |
if (flipkartDetails is None or flipkartDetails.totalAvailableSeller==0):
|
| 11571 |
kshitij.so |
799 |
exceptionItems.append(val)
|
|
|
800 |
continue
|
|
|
801 |
|
|
|
802 |
mpItem = MarketplaceItems.get_by(itemId=val.item_id,source=OrderSource.FLIPKART)
|
|
|
803 |
if flipkartDetails.rank==0:
|
|
|
804 |
flipkartDetails.ourSp = mpItem.currentSp
|
|
|
805 |
ourSp = mpItem.currentSp
|
|
|
806 |
else:
|
|
|
807 |
ourSp = flipkartDetails.ourSp
|
| 11581 |
kshitij.so |
808 |
vatRate = catalog_client.getVatPercentageForItem(val.item_id, val.stateId, flipkartDetails.ourSp)
|
| 11571 |
kshitij.so |
809 |
val.vatRate = vatRate
|
|
|
810 |
if (flipkartDetails.ourBuyTrend == 'PrefCheap') or (flipkartDetails.rank==1 and flipkartDetails.totalAvailableSeller==1):
|
|
|
811 |
temp=[]
|
|
|
812 |
temp.append(flipkartDetails)
|
|
|
813 |
temp.append(val)
|
|
|
814 |
secondLowestTp=0 if flipkartDetails.totalAvailableSeller==1 else getOtherTp(flipkartDetails,val,spm,False)
|
|
|
815 |
prefSellerTp=0 if flipkartDetails.totalAvailableSeller < 2 else getOtherTp(flipkartDetails,val,spm,True)
|
|
|
816 |
flipkartPricing = __FlipkartPricing(flipkartDetails.ourSp,getOurTp(flipkartDetails,val,spm,mpItem),None,getLowestPossibleTp(flipkartDetails,val,spm,mpItem),secondLowestTp,getLowestPossibleSp(flipkartDetails,val,spm,mpItem),prefSellerTp)
|
|
|
817 |
temp.append(flipkartPricing)
|
|
|
818 |
temp.append(mpItem)
|
|
|
819 |
buyBoxItems.append(temp)
|
|
|
820 |
continue
|
|
|
821 |
|
|
|
822 |
if (flipkartDetails.ourBuyTrend == 'PrefNCheap'):
|
|
|
823 |
temp=[]
|
|
|
824 |
temp.append(flipkartDetails)
|
|
|
825 |
temp.append(val)
|
| 11615 |
kshitij.so |
826 |
lowestTp=0 if flipkartDetails.totalAvailableSeller==1 else getOtherTp(flipkartDetails,val,spm,False)
|
| 11571 |
kshitij.so |
827 |
prefSellerTp=0 if flipkartDetails.totalAvailableSeller < 2 else getOtherTp(flipkartDetails,val,spm,True)
|
|
|
828 |
flipkartPricing = __FlipkartPricing(flipkartDetails.ourSp,getOurTp(flipkartDetails,val,spm,mpItem),None,getLowestPossibleTp(flipkartDetails,val,spm,mpItem),secondLowestTp,getLowestPossibleSp(flipkartDetails,val,spm,mpItem),prefSellerTp)
|
|
|
829 |
temp.append(flipkartPricing)
|
|
|
830 |
temp.append(mpItem)
|
|
|
831 |
prefButNotCheap.append(temp)
|
|
|
832 |
continue
|
|
|
833 |
|
|
|
834 |
if (flipkartDetails.ourBuyTrend == 'NPrefCheap') and (flipkartDetails.rank==1):
|
|
|
835 |
temp=[]
|
|
|
836 |
temp.append(flipkartDetails)
|
|
|
837 |
temp.append(val)
|
| 11615 |
kshitij.so |
838 |
secondLowestTp=0 if flipkartDetails.totalAvailableSeller==1 else getOtherTp(flipkartDetails,val,spm,False)
|
| 11571 |
kshitij.so |
839 |
prefSellerTp=0 if flipkartDetails.totalAvailableSeller < 2 else getOtherTp(flipkartDetails,val,spm,True)
|
| 11615 |
kshitij.so |
840 |
flipkartPricing = __FlipkartPricing(flipkartDetails.ourSp,getOurTp(flipkartDetails,val,spm,mpItem),None,getLowestPossibleTp(flipkartDetails,val,spm,mpItem),secondLowestTp,getLowestPossibleSp(flipkartDetails,val,spm,mpItem),prefSellerTp)
|
| 11571 |
kshitij.so |
841 |
temp.append(flipkartPricing)
|
|
|
842 |
temp.append(mpItem)
|
|
|
843 |
cheapButNotPref.append(temp)
|
|
|
844 |
continue
|
|
|
845 |
|
|
|
846 |
lowestTp = getOtherTp(flipkartDetails,val,spm,False)
|
|
|
847 |
ourTp = getOurTp(flipkartDetails,val,spm,mpItem)
|
|
|
848 |
lowestPossibleTp = getLowestPossibleTp(flipkartDetails,val,spm,mpItem)
|
|
|
849 |
lowestPossibleSp = getLowestPossibleSp(flipkartDetails,val,spm,mpItem)
|
|
|
850 |
prefSellerTp = getOtherTp(flipkartDetails,val,spm,True)
|
|
|
851 |
|
|
|
852 |
if (ourTp<lowestPossibleTp):
|
|
|
853 |
temp=[]
|
|
|
854 |
temp.append(flipkartDetails)
|
|
|
855 |
temp.append(val)
|
|
|
856 |
flipkartPricing = __FlipkartPricing(ourSp,ourTp,lowestTp,lowestPossibleTp,None,None,None)
|
|
|
857 |
temp.append(flipkartPricing)
|
|
|
858 |
negativeMargin.append(temp)
|
|
|
859 |
continue
|
|
|
860 |
|
|
|
861 |
if (flipkartDetails.lowestSellerSp > lowestPossibleSp) and val.ourFlipkartInventory!=0:
|
|
|
862 |
type(val.ourFlipkartInventory)
|
|
|
863 |
temp=[]
|
|
|
864 |
temp.append(flipkartDetails)
|
|
|
865 |
temp.append(val)
|
|
|
866 |
flipkartPricing = __FlipkartPricing(ourSp,ourTp,lowestTp,lowestPossibleTp,None,lowestPossibleSp,prefSellerTp)
|
|
|
867 |
temp.append(flipkartPricing)
|
|
|
868 |
temp.append(mpItem)
|
|
|
869 |
competitive.append(temp)
|
|
|
870 |
continue
|
|
|
871 |
|
|
|
872 |
if (flipkartDetails.lowestSellerSp) > lowestPossibleSp and val.ourFlipkartInventory==0:
|
|
|
873 |
temp=[]
|
|
|
874 |
temp.append(flipkartDetails)
|
|
|
875 |
temp.append(val)
|
|
|
876 |
flipkartPricing = __FlipkartPricing(ourSp,ourTp,lowestTp,lowestPossibleTp,None,lowestPossibleSp,prefSellerTp)
|
|
|
877 |
temp.append(flipkartPricing)
|
|
|
878 |
temp.append(mpItem)
|
|
|
879 |
competitiveNoInventory.append(temp)
|
|
|
880 |
continue
|
|
|
881 |
|
| 11193 |
kshitij.so |
882 |
temp=[]
|
|
|
883 |
temp.append(flipkartDetails)
|
|
|
884 |
temp.append(val)
|
|
|
885 |
flipkartPricing = __FlipkartPricing(ourSp,ourTp,lowestTp,lowestPossibleTp,None,lowestPossibleSp,prefSellerTp)
|
|
|
886 |
temp.append(flipkartPricing)
|
|
|
887 |
temp.append(mpItem)
|
| 11571 |
kshitij.so |
888 |
cantCompete.append(temp)
|
| 11193 |
kshitij.so |
889 |
|
| 11571 |
kshitij.so |
890 |
return cantCompete, buyBoxItems, competitive, competitiveNoInventory, exceptionItems, negativeMargin, cheapButNotPref, prefButNotCheap
|
| 11193 |
kshitij.so |
891 |
|
|
|
892 |
def getOtherTp(flipkartDetails,val,spm,prefferedSeller):
|
|
|
893 |
if val.parent_category==10011 or val.parent_category==12001:
|
|
|
894 |
commissionPercentage = spm.competitorCommissionAccessory
|
|
|
895 |
else:
|
|
|
896 |
commissionPercentage = spm.competitorCommissionOther
|
|
|
897 |
if flipkartDetails.rank==1 and not prefferedSeller:
|
|
|
898 |
otherTp = flipkartDetails.secondLowestSellerSp- flipkartDetails.secondLowestSellerSp*(commissionPercentage/100+spm.emiFee/100)*(1+(spm.serviceTax/100))-(val.courierCost+spm.closingFee)*(1+(spm.serviceTax/100))
|
|
|
899 |
return round(otherTp,2)
|
|
|
900 |
if prefferedSeller:
|
|
|
901 |
otherTp = flipkartDetails.prefSellerSp- flipkartDetails.prefSellerSp*(commissionPercentage/100+spm.emiFee/100)*(1+(spm.serviceTax/100))-(val.courierCost+spm.closingFee)*(1+(spm.serviceTax/100))
|
|
|
902 |
return round(otherTp,2)
|
|
|
903 |
otherTp = flipkartDetails.lowestSellerSp- flipkartDetails.lowestSellerSp*(commissionPercentage/100+spm.emiFee/100)*(1+(spm.serviceTax/100))-(val.courierCost+spm.closingFee)*(1+(spm.serviceTax/100))
|
|
|
904 |
return round(otherTp,2)
|
|
|
905 |
|
|
|
906 |
def getLowestPossibleTp(flipkartDetails,val,spm,mpItem):
|
|
|
907 |
if flipkartDetails.rank==0:
|
|
|
908 |
return mpItem.minimumPossibleTp
|
|
|
909 |
vat = (flipkartDetails.ourSp/(1+(val.vatRate/100))-(val.nlc/(1+(val.vatRate/100))))*(val.vatRate/100);
|
|
|
910 |
inHouseCost = 15+vat+(mpItem.returnProvision/100)*flipkartDetails.ourSp+mpItem.otherCost;
|
|
|
911 |
lowest_possible_tp = val.nlc+inHouseCost;
|
|
|
912 |
return round(lowest_possible_tp,2)
|
|
|
913 |
|
|
|
914 |
def getOurTp(flipkartDetails,val,spm,mpItem):
|
|
|
915 |
if flipkartDetails.rank==0:
|
|
|
916 |
return mpItem.currentTp
|
|
|
917 |
ourTp = flipkartDetails.ourSp- flipkartDetails.ourSp*(mpItem.commission/100+mpItem.emiFee/100)*(1+(mpItem.serviceTax/100))-(val.courierCost+mpItem.closingFee)*(1+(mpItem.serviceTax/100))
|
|
|
918 |
return round(ourTp,2)
|
|
|
919 |
|
|
|
920 |
def getLowestPossibleSp(flipkartDetails,val,spm,mpItem):
|
|
|
921 |
if flipkartDetails.rank==0:
|
|
|
922 |
return mpItem.minimumPossibleSp
|
|
|
923 |
lowestPossibleSp = (val.nlc+(val.courierCost+mpItem.closingFee)*(1+(mpItem.serviceTax/100))*(1+(val.vatRate/100))+(15+mpItem.otherCost)*(1+(val.vatRate)/100))/(1-(mpItem.commission/100+mpItem.emiFee/100)*(1+(mpItem.serviceTax/100))*(1+(val.vatRate)/100)-(mpItem.returnProvision/100)*(1+(val.vatRate)/100));
|
|
|
924 |
return round(lowestPossibleSp,2)
|
|
|
925 |
|
|
|
926 |
def getTargetTp(targetSp,mpItem):
|
|
|
927 |
targetTp = targetSp- targetSp*(mpItem.commission/100+mpItem.emiFee/100)*(1+(mpItem.serviceTax/100))-(mpItem.courierCost+mpItem.closingFee)*(1+(mpItem.serviceTax/100))
|
|
|
928 |
return round(targetTp,2)
|
|
|
929 |
|
|
|
930 |
def getTargetSp(targetTp,mpItem,ourSp):
|
|
|
931 |
targetSp = float(targetTp+(mpItem.courierCost+mpItem.closingFee)*(1+(mpItem.serviceTax/100)))/(1-((mpItem.commission/100+mpItem.emiFee/100)*(1+(mpItem.serviceTax/100))))
|
|
|
932 |
return round(targetSp,2)
|
|
|
933 |
|
|
|
934 |
def markAutoFavourite():
|
|
|
935 |
previouslyAutoFav = []
|
|
|
936 |
nowAutoFav = []
|
|
|
937 |
marketplaceItems = session.query(MarketplaceItems).filter(MarketplaceItems.source==OrderSource.FLIPKART).all()
|
|
|
938 |
fromDate = datetime.now()-timedelta(days = 3, hours=datetime.now().hour, minutes=datetime.now().minute, seconds=datetime.now().second)
|
|
|
939 |
toDate = datetime.now()-timedelta(days = 0, hours=datetime.now().hour, minutes=datetime.now().minute, seconds=datetime.now().second)
|
| 11615 |
kshitij.so |
940 |
items = session.query(MarketPlaceHistory.item_id,func.max(MarketPlaceHistory.timestamp)).group_by(MarketPlaceHistory.item_id).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.timestamp.between (fromDate,toDate)).filter(or_(MarketPlaceHistory.competitiveCategory==CompetitionCategory.BUY_BOX,MarketPlaceHistory.competitiveCategory==CompetitionCategory.PREF_BUT_NOT_CHEAP)).all()
|
| 11193 |
kshitij.so |
941 |
toUpdate = [key for key, value in itemSaleMap.items() if value[5] >= 1]
|
|
|
942 |
buyBoxLast3days = []
|
|
|
943 |
for item in items:
|
|
|
944 |
buyBoxLast3days.append(item[0])
|
|
|
945 |
for marketplaceItem in marketplaceItems:
|
|
|
946 |
reason = ""
|
|
|
947 |
toMark = False
|
|
|
948 |
if marketplaceItem.itemId in toUpdate:
|
|
|
949 |
toMark = True
|
|
|
950 |
reason+="Total sale is greater than 1 for last five days (Flipkart)."
|
|
|
951 |
if marketplaceItem.itemId in buyBoxLast3days:
|
|
|
952 |
toMark = True
|
|
|
953 |
reason+="Item is present in buy box in last 3 days"
|
|
|
954 |
if not marketplaceItem.autoFavourite:
|
|
|
955 |
print "Item is not under auto favourite"
|
|
|
956 |
if toMark:
|
|
|
957 |
temp=[]
|
|
|
958 |
temp.append(marketplaceItem.itemId)
|
|
|
959 |
temp.append(reason)
|
|
|
960 |
nowAutoFav.append(temp)
|
|
|
961 |
if (not toMark) and marketplaceItem.autoFavourite:
|
|
|
962 |
previouslyAutoFav.append(marketplaceItem.itemId)
|
|
|
963 |
marketplaceItem.autoFavourite = toMark
|
|
|
964 |
session.commit()
|
|
|
965 |
return previouslyAutoFav, nowAutoFav
|
|
|
966 |
|
| 11615 |
kshitij.so |
967 |
def write_report(previousAutoFav, nowAutoFav,timestamp, runType):
|
| 11193 |
kshitij.so |
968 |
wbk = xlwt.Workbook()
|
|
|
969 |
sheet = wbk.add_sheet('Can\'t Compete')
|
|
|
970 |
xstr = lambda s: s or ""
|
|
|
971 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
972 |
|
|
|
973 |
excel_integer_format = '0'
|
|
|
974 |
integer_style = xlwt.XFStyle()
|
|
|
975 |
integer_style.num_format_str = excel_integer_format
|
|
|
976 |
|
|
|
977 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
978 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
979 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
980 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
981 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
982 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
983 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
984 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
985 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
986 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
987 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
988 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
989 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
990 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
991 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
992 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
993 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
994 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
995 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
996 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
997 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
998 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
999 |
sheet.write(0, 22, "Preffer Seller SP", heading_xf)
|
|
|
1000 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1001 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1002 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1003 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1004 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1005 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1006 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1007 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1008 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1009 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1010 |
sheet.write(0, 33, "Target NLC", heading_xf)
|
|
|
1011 |
sheet.write(0, 34, "Sales Potential", heading_xf)
|
|
|
1012 |
sheet.write(0, 35, "Total Seller", heading_xf)
|
|
|
1013 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1014 |
canCompeteItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1015 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1016 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1017 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1018 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.CANT_COMPETE).all()
|
|
|
1019 |
for item in canCompeteItems:
|
|
|
1020 |
mpHistory = item[0]
|
|
|
1021 |
flipkartItem = item[1]
|
|
|
1022 |
mpItem = item[2]
|
|
|
1023 |
catItem = item[3]
|
|
|
1024 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1025 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1026 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1027 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1028 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1029 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1030 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1031 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1032 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1033 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1034 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1035 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1036 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1037 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1038 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1039 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1040 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1041 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1042 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1043 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1044 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1045 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1046 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1047 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1048 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1049 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1050 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1051 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1052 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1053 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1054 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1055 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1056 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1057 |
else:
|
| 11615 |
kshitij.so |
1058 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1059 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1060 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1061 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1062 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1063 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1064 |
proposed_sp = mpHistory.lowestSellingPrice - max(10, mpHistory.lowestSellingPrice*0.001)
|
| 11193 |
kshitij.so |
1065 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
| 11615 |
kshitij.so |
1066 |
target_nlc = proposed_tp - mpHistory.lowestPossibleTp + mpHistory.ourNlc
|
| 11193 |
kshitij.so |
1067 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1068 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
|
|
1069 |
sheet.write(sheet_iterator, 33, target_nlc)
|
| 11615 |
kshitij.so |
1070 |
sheet.write(sheet_iterator, 34, getSalesPotential(mpHistory.lowestSellingPrice,mpHistory.ourNlc))
|
|
|
1071 |
sheet.write(sheet_iterator, 35, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1072 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1073 |
|
|
|
1074 |
canCompeteItems[:] = []
|
|
|
1075 |
|
| 11193 |
kshitij.so |
1076 |
|
|
|
1077 |
sheet = wbk.add_sheet('Pref and Cheap')
|
|
|
1078 |
|
|
|
1079 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1080 |
|
|
|
1081 |
excel_integer_format = '0'
|
|
|
1082 |
integer_style = xlwt.XFStyle()
|
|
|
1083 |
integer_style.num_format_str = excel_integer_format
|
|
|
1084 |
xstr = lambda s: s or ""
|
|
|
1085 |
|
|
|
1086 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1087 |
|
|
|
1088 |
excel_integer_format = '0'
|
|
|
1089 |
integer_style = xlwt.XFStyle()
|
|
|
1090 |
integer_style.num_format_str = excel_integer_format
|
|
|
1091 |
|
|
|
1092 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1093 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1094 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1095 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1096 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1097 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1098 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1099 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1100 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1101 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1102 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1103 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1104 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1105 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1106 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1107 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1108 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1109 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1110 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1111 |
sheet.write(0, 19, "Second Lowest Seller", heading_xf)
|
|
|
1112 |
sheet.write(0, 20, "Second Lowest Seller Rating", heading_xf)
|
|
|
1113 |
sheet.write(0, 21, "Second Lowest Seller Shipping Time", heading_xf)
|
|
|
1114 |
sheet.write(0, 22, "Second Lowest Seller SP", heading_xf)
|
|
|
1115 |
sheet.write(0, 23, "Second Lowest Seller TP", heading_xf)
|
|
|
1116 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1117 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1118 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1119 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1120 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1121 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1122 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1123 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1124 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1125 |
sheet.write(0, 33, "Margin Increased Potential", heading_xf)
|
|
|
1126 |
sheet.write(0, 34, "Total Seller", heading_xf)
|
|
|
1127 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1128 |
|
|
|
1129 |
buyBoxItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1130 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1131 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1132 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1133 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.BUY_BOX).all()
|
|
|
1134 |
|
|
|
1135 |
|
| 11193 |
kshitij.so |
1136 |
for item in buyBoxItems:
|
| 11615 |
kshitij.so |
1137 |
mpHistory = item[0]
|
|
|
1138 |
flipkartItem = item[1]
|
|
|
1139 |
mpItem = item[2]
|
|
|
1140 |
catItem = item[3]
|
|
|
1141 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1142 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1143 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1144 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1145 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1146 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1147 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1148 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1149 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1150 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1151 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1152 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1153 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1154 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1155 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1156 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1157 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1158 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1159 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1160 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1161 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1162 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1163 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1164 |
sheet.write(sheet_iterator,19,mpHistory.secondLowestSellerName)
|
|
|
1165 |
sheet.write(sheet_iterator,20,mpHistory.secondLowestSellerRating)
|
|
|
1166 |
# secondLowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller) if flipkartDetails.shippingTimeUpperLimitSecondLowestSeller==0\
|
|
|
1167 |
# else str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitSecondLowestSeller)
|
|
|
1168 |
sheet.write(sheet_iterator,21,mpHistory.secondLowestSellerShippingTime)
|
|
|
1169 |
sheet.write(sheet_iterator,22,mpHistory.secondLowestSellingPrice)
|
|
|
1170 |
sheet.write(sheet_iterator,23,mpHistory.secondLowestTp)
|
|
|
1171 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1172 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1173 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1174 |
else:
|
| 11615 |
kshitij.so |
1175 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1176 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1177 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1178 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1179 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1180 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1181 |
proposed_sp = max(mpHistory.secondLowestSellingPrice - max((20, mpHistory.secondLowestSellingPrice*0.002)), mpHistory.lowestPossibleSp)
|
| 11193 |
kshitij.so |
1182 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
| 11615 |
kshitij.so |
1183 |
target_nlc = proposed_tp - mpHistory.lowestPossibleTp + mpHistory.ourNlc
|
| 11193 |
kshitij.so |
1184 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1185 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
| 11615 |
kshitij.so |
1186 |
sheet.write(sheet_iterator, 33, proposed_tp -mpHistory.ourTp )
|
|
|
1187 |
sheet.write(sheet_iterator, 34, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1188 |
sheet_iterator+=1
|
|
|
1189 |
|
| 11615 |
kshitij.so |
1190 |
buyBoxItems[:] = []
|
| 11193 |
kshitij.so |
1191 |
|
| 11615 |
kshitij.so |
1192 |
sheet = wbk.add_sheet('Pref Not Cheap')
|
| 11193 |
kshitij.so |
1193 |
|
|
|
1194 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1195 |
|
|
|
1196 |
excel_integer_format = '0'
|
|
|
1197 |
integer_style = xlwt.XFStyle()
|
|
|
1198 |
integer_style.num_format_str = excel_integer_format
|
|
|
1199 |
xstr = lambda s: s or ""
|
|
|
1200 |
|
|
|
1201 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1202 |
|
|
|
1203 |
excel_integer_format = '0'
|
|
|
1204 |
integer_style = xlwt.XFStyle()
|
|
|
1205 |
integer_style.num_format_str = excel_integer_format
|
|
|
1206 |
|
|
|
1207 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1208 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1209 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1210 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1211 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1212 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1213 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1214 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1215 |
sheet.write(0, 8, "Risky", heading_xf)
|
| 11615 |
kshitij.so |
1216 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1217 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1218 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1219 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1220 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1221 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1222 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1223 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1224 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1225 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1226 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
1227 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
1228 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1229 |
sheet.write(0, 22, "Preffered Seller SP", heading_xf)
|
|
|
1230 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1231 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1232 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1233 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1234 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1235 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1236 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1237 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1238 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1239 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1240 |
sheet.write(0, 33, "Total Seller", heading_xf)
|
| 11193 |
kshitij.so |
1241 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1242 |
|
|
|
1243 |
prefNotCheapItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1244 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1245 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1246 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1247 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.PREF_BUT_NOT_CHEAP).all()
|
|
|
1248 |
|
|
|
1249 |
|
|
|
1250 |
for item in prefNotCheapItems:
|
|
|
1251 |
mpHistory = item[0]
|
|
|
1252 |
flipkartItem = item[1]
|
|
|
1253 |
mpItem = item[2]
|
|
|
1254 |
catItem = item[3]
|
|
|
1255 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1256 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1257 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1258 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1259 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1260 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1261 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1262 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1263 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1264 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1265 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1266 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1267 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1268 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1269 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1270 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1271 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1272 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1273 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1274 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1275 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1276 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1277 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1278 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1279 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1280 |
# secondLowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller) if flipkartDetails.shippingTimeUpperLimitSecondLowestSeller==0\
|
|
|
1281 |
# else str(flipkartDetails.shippingTimeLowerLimitSecondLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitSecondLowestSeller)
|
|
|
1282 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1283 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1284 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1285 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1286 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
|
|
1287 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
| 11193 |
kshitij.so |
1288 |
else:
|
| 11615 |
kshitij.so |
1289 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1290 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1291 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1292 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1293 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1294 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1295 |
proposed_sp = max(mpHistory.lowestSellingPrice - max((20, mpHistory.lowestSellingPrice*0.002)), mpHistory.lowestPossibleSp)
|
|
|
1296 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
1297 |
target_nlc = proposed_tp - mpHistory.lowestPossibleTp + mpHistory.ourNlc
|
|
|
1298 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1299 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
|
|
1300 |
sheet.write(sheet_iterator, 33, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1301 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1302 |
|
|
|
1303 |
prefNotCheapItems[:] = []
|
| 11193 |
kshitij.so |
1304 |
|
|
|
1305 |
sheet = wbk.add_sheet('Cheap But Not Pref')
|
|
|
1306 |
|
|
|
1307 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1308 |
|
|
|
1309 |
excel_integer_format = '0'
|
|
|
1310 |
integer_style = xlwt.XFStyle()
|
|
|
1311 |
integer_style.num_format_str = excel_integer_format
|
|
|
1312 |
xstr = lambda s: s or ""
|
|
|
1313 |
|
|
|
1314 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1315 |
|
|
|
1316 |
excel_integer_format = '0'
|
|
|
1317 |
integer_style = xlwt.XFStyle()
|
|
|
1318 |
integer_style.num_format_str = excel_integer_format
|
|
|
1319 |
|
|
|
1320 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1321 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1322 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1323 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1324 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1325 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1326 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1327 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1328 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1329 |
sheet.write(0, 9, "Our Rank", heading_xf)
|
|
|
1330 |
sheet.write(0, 10, "Lowest Seller", heading_xf)
|
|
|
1331 |
sheet.write(0, 11, "Our Rating", heading_xf)
|
|
|
1332 |
sheet.write(0, 12, "Our Shipping Time", heading_xf)
|
|
|
1333 |
sheet.write(0, 13, "Our SP", heading_xf)
|
|
|
1334 |
sheet.write(0, 14, "Our TP", heading_xf)
|
|
|
1335 |
sheet.write(0, 15, "Preffered Seller", heading_xf)
|
|
|
1336 |
sheet.write(0, 16, "Preffered Seller Rating", heading_xf)
|
|
|
1337 |
sheet.write(0, 17, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1338 |
sheet.write(0, 18, "Preffered Seller SP", heading_xf)
|
|
|
1339 |
sheet.write(0, 19, "Preffered Seller TP", heading_xf)
|
|
|
1340 |
sheet.write(0, 20, "Our Flipkart Inventory", heading_xf)
|
|
|
1341 |
sheet.write(0, 21, "Our Net Availability",heading_xf)
|
|
|
1342 |
sheet.write(0, 22, "Last Five Day Sale", heading_xf)
|
|
|
1343 |
sheet.write(0, 23, "Average Sale", heading_xf)
|
|
|
1344 |
sheet.write(0, 24, "Our NLC", heading_xf)
|
|
|
1345 |
sheet.write(0, 25, "Lowest Possible SP", heading_xf)
|
|
|
1346 |
sheet.write(0, 26, "Lowest Possible TP", heading_xf)
|
|
|
1347 |
sheet.write(0, 27, "Total Seller", heading_xf)
|
|
|
1348 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1349 |
|
|
|
1350 |
cheapNotPrefferedItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1351 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1352 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1353 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1354 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.CHEAP_BUT_NOT_PREF).all()
|
|
|
1355 |
|
|
|
1356 |
for item in cheapNotPrefferedItems:
|
|
|
1357 |
mpHistory = item[0]
|
|
|
1358 |
flipkartItem = item[1]
|
|
|
1359 |
mpItem = item[2]
|
|
|
1360 |
catItem = item[3]
|
|
|
1361 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1362 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1363 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1364 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1365 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1366 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1367 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1368 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1369 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1370 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1371 |
sheet.write(sheet_iterator,10,mpHistory.lowestSellerName)
|
|
|
1372 |
sheet.write(sheet_iterator,11,mpHistory.ourRating)
|
|
|
1373 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1374 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1375 |
sheet.write(sheet_iterator,12,mpHistory.lowestSellerShippingTime)
|
|
|
1376 |
sheet.write(sheet_iterator,13,mpHistory.lowestSellingPrice)
|
|
|
1377 |
sheet.write(sheet_iterator,14,mpHistory.lowestTp)
|
|
|
1378 |
sheet.write(sheet_iterator,15,mpHistory.prefferedSellerName)
|
|
|
1379 |
sheet.write(sheet_iterator,16,mpHistory.prefferedSellerRating)
|
|
|
1380 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1381 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1382 |
sheet.write(sheet_iterator,17,mpHistory.prefferedSellerShippingTime)
|
|
|
1383 |
sheet.write(sheet_iterator,18,mpHistory.prefferedSellerSellingPrice)
|
|
|
1384 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerTp)
|
|
|
1385 |
sheet.write(sheet_iterator,20,mpHistory.ourInventory)
|
|
|
1386 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1387 |
sheet.write(sheet_iterator, 21, 'Info not available')
|
|
|
1388 |
else:
|
| 11615 |
kshitij.so |
1389 |
sheet.write(sheet_iterator, 21, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1390 |
sheet.write(sheet_iterator, 22, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1391 |
sheet.write(sheet_iterator, 23, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1392 |
sheet.write(sheet_iterator, 24, mpHistory.ourNlc)
|
|
|
1393 |
sheet.write(sheet_iterator, 25, mpHistory.lowestPossibleSp)
|
|
|
1394 |
sheet.write(sheet_iterator, 26, mpHistory.lowestPossibleTp)
|
| 11193 |
kshitij.so |
1395 |
#proposed_sp = max(flipkartDetails.secondLowestSellerSp - max((20, flipkartDetails.secondLowestSellerSp*0.002)), flipkartPricing.lowestPossibleSp)
|
|
|
1396 |
#proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
1397 |
#target_nlc = proposed_tp - flipkartPricing.lowestPossibleTp + flipkartItemInfo.nlc
|
| 11615 |
kshitij.so |
1398 |
sheet.write(sheet_iterator, 27, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1399 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1400 |
|
|
|
1401 |
cheapNotPrefferedItems[:]=[]
|
| 11193 |
kshitij.so |
1402 |
|
|
|
1403 |
sheet = wbk.add_sheet('Can Compete-With Inventory')
|
|
|
1404 |
xstr = lambda s: s or ""
|
|
|
1405 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1406 |
|
|
|
1407 |
excel_integer_format = '0'
|
|
|
1408 |
integer_style = xlwt.XFStyle()
|
|
|
1409 |
integer_style.num_format_str = excel_integer_format
|
|
|
1410 |
|
|
|
1411 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1412 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1413 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1414 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1415 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1416 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1417 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1418 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1419 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1420 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1421 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1422 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1423 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1424 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1425 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1426 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1427 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1428 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1429 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1430 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
1431 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
1432 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1433 |
sheet.write(0, 22, "Preffer Seller SP", heading_xf)
|
|
|
1434 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1435 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1436 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1437 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1438 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1439 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1440 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1441 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1442 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1443 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1444 |
sheet.write(0, 33, "Target NLC", heading_xf)
|
|
|
1445 |
sheet.write(0, 34, "Sales Potential", heading_xf)
|
|
|
1446 |
sheet.write(0, 35, "Total Seller", heading_xf)
|
|
|
1447 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1448 |
|
|
|
1449 |
competitiveItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1450 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1451 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1452 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1453 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.COMPETITIVE).all()
|
|
|
1454 |
|
|
|
1455 |
for item in competitiveItems:
|
|
|
1456 |
mpHistory = item[0]
|
|
|
1457 |
flipkartItem = item[1]
|
|
|
1458 |
mpItem = item[2]
|
|
|
1459 |
catItem = item[3]
|
|
|
1460 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1461 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1462 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1463 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1464 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1465 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1466 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1467 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1468 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1469 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1470 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1471 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1472 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1473 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1474 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1475 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1476 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1477 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1478 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1479 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1480 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1481 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1482 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1483 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1484 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1485 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1486 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1487 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1488 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1489 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1490 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1491 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1492 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1493 |
else:
|
| 11615 |
kshitij.so |
1494 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1495 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1496 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1497 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1498 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1499 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1500 |
proposed_sp = max(mpHistory.lowestSellingPrice - max((10, mpHistory.lowestSellingPrice*0.001)), mpHistory.lowestSellingPrice)
|
| 11193 |
kshitij.so |
1501 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
| 11615 |
kshitij.so |
1502 |
target_nlc = proposed_tp - mpHistory.lowestPossibleTp + mpHistory.ourNlc
|
| 11193 |
kshitij.so |
1503 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1504 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
|
|
1505 |
sheet.write(sheet_iterator, 33, target_nlc)
|
| 11615 |
kshitij.so |
1506 |
sheet.write(sheet_iterator, 34, getSalesPotential(mpHistory.lowestSellingPrice,mpHistory.ourNlc))
|
|
|
1507 |
sheet.write(sheet_iterator, 35, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1508 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1509 |
|
|
|
1510 |
competitiveItems[:]=[]
|
|
|
1511 |
|
| 11193 |
kshitij.so |
1512 |
sheet = wbk.add_sheet('Negative Margin')
|
|
|
1513 |
xstr = lambda s: s or ""
|
|
|
1514 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1515 |
|
|
|
1516 |
excel_integer_format = '0'
|
|
|
1517 |
integer_style = xlwt.XFStyle()
|
|
|
1518 |
integer_style.num_format_str = excel_integer_format
|
|
|
1519 |
|
|
|
1520 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1521 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1522 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1523 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1524 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1525 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1526 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1527 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1528 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1529 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1530 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1531 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1532 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1533 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1534 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1535 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1536 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1537 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1538 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1539 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
1540 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
1541 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1542 |
sheet.write(0, 22, "Preffer Seller SP", heading_xf)
|
|
|
1543 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1544 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1545 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1546 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1547 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1548 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1549 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1550 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1551 |
sheet.write(0, 31, "Margin", heading_xf)
|
|
|
1552 |
sheet.write(0, 32, "Total Seller", heading_xf)
|
|
|
1553 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1554 |
|
|
|
1555 |
negativeMargin = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1556 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1557 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1558 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1559 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.NEGATIVE_MARGIN).all()
|
|
|
1560 |
|
| 11193 |
kshitij.so |
1561 |
for item in negativeMargin:
|
| 11615 |
kshitij.so |
1562 |
mpHistory = item[0]
|
|
|
1563 |
flipkartItem = item[1]
|
|
|
1564 |
mpItem = item[2]
|
|
|
1565 |
catItem = item[3]
|
|
|
1566 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1567 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1568 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1569 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1570 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1571 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1572 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1573 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1574 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1575 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1576 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1577 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1578 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1579 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1580 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1581 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1582 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1583 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1584 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1585 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1586 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1587 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1588 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1589 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1590 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1591 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1592 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1593 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1594 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1595 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1596 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1597 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1598 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1599 |
else:
|
| 11615 |
kshitij.so |
1600 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1601 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1602 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1603 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1604 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1605 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1606 |
sheet.write(sheet_iterator, 31, round((mpHistory.ourTp - mpHistory.lowestPossibleTp),2))
|
|
|
1607 |
sheet.write(sheet_iterator, 32, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1608 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1609 |
|
|
|
1610 |
negativeMargin[:]=[]
|
| 11193 |
kshitij.so |
1611 |
|
|
|
1612 |
if (runType=='FULL'):
|
|
|
1613 |
sheet = wbk.add_sheet('Auto Favorites')
|
|
|
1614 |
|
|
|
1615 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1616 |
|
|
|
1617 |
excel_integer_format = '0'
|
|
|
1618 |
integer_style = xlwt.XFStyle()
|
|
|
1619 |
integer_style.num_format_str = excel_integer_format
|
|
|
1620 |
xstr = lambda s: s or ""
|
|
|
1621 |
|
|
|
1622 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1623 |
sheet.write(0, 1, "Brand", heading_xf)
|
|
|
1624 |
sheet.write(0, 2, "Product Name", heading_xf)
|
|
|
1625 |
sheet.write(0, 3, "Auto Favourite", heading_xf)
|
|
|
1626 |
sheet.write(0, 4, "Reason", heading_xf)
|
|
|
1627 |
|
|
|
1628 |
sheet_iterator=1
|
|
|
1629 |
for autoFav in nowAutoFav:
|
|
|
1630 |
itemId = autoFav[0]
|
|
|
1631 |
reason = autoFav[1]
|
|
|
1632 |
it = Item.query.filter_by(id=itemId).one()
|
|
|
1633 |
sheet.write(sheet_iterator, 0, itemId)
|
|
|
1634 |
sheet.write(sheet_iterator, 1, it.brand)
|
|
|
1635 |
sheet.write(sheet_iterator, 2, xstr(it.brand)+" "+xstr(it.model_name)+" "+xstr(it.model_number)+" "+xstr(it.color))
|
|
|
1636 |
sheet.write(sheet_iterator, 3, "True")
|
|
|
1637 |
sheet.write(sheet_iterator, 4, reason)
|
|
|
1638 |
sheet_iterator+=1
|
|
|
1639 |
for prevFav in previousAutoFav:
|
|
|
1640 |
it = Item.query.filter_by(id=prevFav).one()
|
|
|
1641 |
sheet.write(sheet_iterator, 0, prevFav)
|
|
|
1642 |
sheet.write(sheet_iterator, 1, it.brand)
|
|
|
1643 |
sheet.write(sheet_iterator, 2, xstr(it.brand)+" "+xstr(it.model_name)+" "+xstr(it.model_number)+" "+xstr(it.color))
|
|
|
1644 |
sheet.write(sheet_iterator, 3, "False")
|
|
|
1645 |
sheet_iterator+=1
|
|
|
1646 |
|
|
|
1647 |
sheet = wbk.add_sheet('Exception Item List')
|
|
|
1648 |
|
|
|
1649 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1650 |
|
|
|
1651 |
excel_integer_format = '0'
|
|
|
1652 |
integer_style = xlwt.XFStyle()
|
|
|
1653 |
integer_style.num_format_str = excel_integer_format
|
|
|
1654 |
xstr = lambda s: s or ""
|
|
|
1655 |
|
|
|
1656 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1657 |
sheet.write(0, 1, "FK Serial number", heading_xf)
|
|
|
1658 |
sheet.write(0, 2, "Brand", heading_xf)
|
|
|
1659 |
sheet.write(0, 3, "Product Name", heading_xf)
|
|
|
1660 |
sheet.write(0, 4, "Reason", heading_xf)
|
|
|
1661 |
sheet_iterator=1
|
| 11615 |
kshitij.so |
1662 |
|
|
|
1663 |
exeptionItems = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1664 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1665 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1666 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1667 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.EXCEPTION).all()
|
|
|
1668 |
|
|
|
1669 |
for item in exeptionItems:
|
|
|
1670 |
mpHistory = item[0]
|
|
|
1671 |
flipkartItem = item[1]
|
|
|
1672 |
mpItem = item[2]
|
|
|
1673 |
catItem = item[3]
|
|
|
1674 |
sheet.write(sheet_iterator, 0, mpHistory.item_id)
|
|
|
1675 |
sheet.write(sheet_iterator, 1, flipkartItem.flipkartSerialNumber)
|
|
|
1676 |
sheet.write(sheet_iterator, 2, catItem.brand)
|
|
|
1677 |
sheet.write(sheet_iterator, 3, xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
| 11193 |
kshitij.so |
1678 |
try:
|
| 11615 |
kshitij.so |
1679 |
if mpHistory.totalSeller is None:
|
| 11193 |
kshitij.so |
1680 |
pass
|
|
|
1681 |
except:
|
|
|
1682 |
sheet.write(sheet_iterator, 4, "Unable to fetch info from Flipkart")
|
|
|
1683 |
sheet_iterator+=1
|
|
|
1684 |
continue
|
|
|
1685 |
sheet.write(sheet_iterator, 4, "No Seller Available")
|
|
|
1686 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1687 |
|
|
|
1688 |
exeptionItems[:]=[]
|
| 11193 |
kshitij.so |
1689 |
|
|
|
1690 |
sheet = wbk.add_sheet('Can Compete-No Inv')
|
|
|
1691 |
xstr = lambda s: s or ""
|
|
|
1692 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1693 |
|
|
|
1694 |
excel_integer_format = '0'
|
|
|
1695 |
integer_style = xlwt.XFStyle()
|
|
|
1696 |
integer_style.num_format_str = excel_integer_format
|
|
|
1697 |
|
|
|
1698 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1699 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1700 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1701 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1702 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1703 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1704 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1705 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1706 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1707 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1708 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1709 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1710 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1711 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1712 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1713 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1714 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1715 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1716 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1717 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
1718 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
1719 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1720 |
sheet.write(0, 22, "Preffer Seller SP", heading_xf)
|
|
|
1721 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1722 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1723 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1724 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1725 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1726 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1727 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1728 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1729 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1730 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1731 |
sheet.write(0, 33, "Sales Potential", heading_xf)
|
|
|
1732 |
sheet.write(0, 34, "Total Seller", heading_xf)
|
|
|
1733 |
sheet_iterator = 1
|
| 11615 |
kshitij.so |
1734 |
|
|
|
1735 |
competitiveNoInventory = session.query(MarketPlaceHistory,FlipkartItem,MarketplaceItems,Item).join(MarketPlaceHistory,MarketPlaceHistory.item_id==FlipkartItem.item_id)\
|
|
|
1736 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==MarketplaceItems.itemId)\
|
|
|
1737 |
.join(MarketPlaceHistory,MarketPlaceHistory.item_id==Item.id)\
|
|
|
1738 |
.filter(MarketplaceItems.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.source==OrderSource.FLIPKART)\
|
|
|
1739 |
.filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.competitiveCategory==CompetitionCategory.COMPETITIVE_NO_INVENTORY).all()
|
|
|
1740 |
|
| 11193 |
kshitij.so |
1741 |
for item in competitiveNoInventory:
|
| 11615 |
kshitij.so |
1742 |
mpHistory = item[0]
|
|
|
1743 |
flipkartItem = item[1]
|
|
|
1744 |
mpItem = item[2]
|
|
|
1745 |
catItem = item[3]
|
|
|
1746 |
if ((not inventoryMap.has_key(mpHistory.item_id)) or getNetAvailability(inventoryMap.get(mpHistory.item_id))<=0):
|
|
|
1747 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1748 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1749 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1750 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1751 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1752 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1753 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1754 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1755 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1756 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1757 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1758 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1759 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1760 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1761 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1762 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1763 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1764 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1765 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1766 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1767 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1768 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1769 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1770 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1771 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1772 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1773 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1774 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1775 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1776 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1777 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1778 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1779 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1780 |
else:
|
| 11615 |
kshitij.so |
1781 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1782 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1783 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1784 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1785 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1786 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1787 |
proposed_sp = max(mpHistory.lowestSellingPrice - max((10, mpHistory.lowestSellingPrice*0.001)), mpHistory.lowestPossibleSp)
|
| 11193 |
kshitij.so |
1788 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
1789 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1790 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
| 11615 |
kshitij.so |
1791 |
sheet.write(sheet_iterator, 33, getSalesPotential(mpHistory.lowestPossibleSp,mpHistory.ourNlc))
|
|
|
1792 |
sheet.write(sheet_iterator, 34, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1793 |
sheet_iterator+=1
|
|
|
1794 |
|
| 11615 |
kshitij.so |
1795 |
|
| 11193 |
kshitij.so |
1796 |
sheet = wbk.add_sheet('Can Compete-No Inv On FK')
|
|
|
1797 |
xstr = lambda s: s or ""
|
|
|
1798 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1799 |
|
|
|
1800 |
excel_integer_format = '0'
|
|
|
1801 |
integer_style = xlwt.XFStyle()
|
|
|
1802 |
integer_style.num_format_str = excel_integer_format
|
|
|
1803 |
|
|
|
1804 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1805 |
sheet.write(0, 1, "Category", heading_xf)
|
|
|
1806 |
sheet.write(0, 2, "Product Group.", heading_xf)
|
|
|
1807 |
sheet.write(0, 3, "FK Serial Number", heading_xf)
|
|
|
1808 |
sheet.write(0, 4, "Brand", heading_xf)
|
|
|
1809 |
sheet.write(0, 5, "Product Name", heading_xf)
|
|
|
1810 |
sheet.write(0, 6, "Weight", heading_xf)
|
|
|
1811 |
sheet.write(0, 7, "Courier Cost", heading_xf)
|
|
|
1812 |
sheet.write(0, 8, "Risky", heading_xf)
|
|
|
1813 |
sheet.write(0, 9, "Our Rating", heading_xf)
|
|
|
1814 |
sheet.write(0, 10, "Our Shipping Time", heading_xf)
|
|
|
1815 |
sheet.write(0, 11, "Our Rank", heading_xf)
|
|
|
1816 |
sheet.write(0, 12, "Our SP", heading_xf)
|
|
|
1817 |
sheet.write(0, 13, "Our TP", heading_xf)
|
|
|
1818 |
sheet.write(0, 14, "Lowest Seller", heading_xf)
|
|
|
1819 |
sheet.write(0, 15, "Lowest Seller Rating", heading_xf)
|
|
|
1820 |
sheet.write(0, 16, "Lowest Seller Shipping Time", heading_xf)
|
|
|
1821 |
sheet.write(0, 17, "Lowest Seller SP", heading_xf)
|
|
|
1822 |
sheet.write(0, 18, "Lowest Seller TP", heading_xf)
|
|
|
1823 |
sheet.write(0, 19, "Preffered Seller", heading_xf)
|
|
|
1824 |
sheet.write(0, 20, "Preffered Seller Rating", heading_xf)
|
|
|
1825 |
sheet.write(0, 21, "Preffered Seller Shipping Time", heading_xf)
|
|
|
1826 |
sheet.write(0, 22, "Preffer Seller SP", heading_xf)
|
|
|
1827 |
sheet.write(0, 23, "Preffered Seller TP", heading_xf)
|
|
|
1828 |
sheet.write(0, 24, "Our Flipkart Inventory", heading_xf)
|
|
|
1829 |
sheet.write(0, 25, "Our Net Availability",heading_xf)
|
|
|
1830 |
sheet.write(0, 26, "Last Five Day Sale", heading_xf)
|
|
|
1831 |
sheet.write(0, 27, "Average Sale", heading_xf)
|
|
|
1832 |
sheet.write(0, 28, "Our NLC", heading_xf)
|
|
|
1833 |
sheet.write(0, 29, "Lowest Possible SP", heading_xf)
|
|
|
1834 |
sheet.write(0, 30, "Lowest Possible TP", heading_xf)
|
|
|
1835 |
sheet.write(0, 31, "Target SP", heading_xf)
|
|
|
1836 |
sheet.write(0, 32, "Target TP", heading_xf)
|
|
|
1837 |
sheet.write(0, 33, "Sales Potential", heading_xf)
|
|
|
1838 |
sheet.write(0, 34, "Total Seller", heading_xf)
|
|
|
1839 |
sheet_iterator = 1
|
|
|
1840 |
for item in competitiveNoInventory:
|
| 11615 |
kshitij.so |
1841 |
mpHistory = item[0]
|
|
|
1842 |
flipkartItem = item[1]
|
|
|
1843 |
mpItem = item[2]
|
|
|
1844 |
catItem = item[3]
|
|
|
1845 |
if (inventoryMap.has_key(mpHistory.item_id) and getNetAvailability(inventoryMap.get(mpHistory.item_id))>0):
|
|
|
1846 |
sheet.write(sheet_iterator,0,mpHistory.item_id)
|
|
|
1847 |
sheet.write(sheet_iterator,1,categoryMap.get(catItem.category)[0])
|
|
|
1848 |
sheet.write(sheet_iterator,2,categoryMap.get(catItem.category)[1])
|
|
|
1849 |
sheet.write(sheet_iterator,3,flipkartItem.flipkartSerialNumber)
|
|
|
1850 |
sheet.write(sheet_iterator,4,catItem.brand)
|
|
|
1851 |
sheet.write(sheet_iterator,5,xstr(catItem.brand)+" "+xstr(catItem.model_name)+" "+xstr(catItem.model_number)+" "+xstr(catItem.color))
|
|
|
1852 |
sheet.write(sheet_iterator,6,catItem.weight)
|
|
|
1853 |
sheet.write(sheet_iterator,7,mpItem.courierCost)
|
|
|
1854 |
sheet.write(sheet_iterator,8,catItem.risky)
|
|
|
1855 |
sheet.write(sheet_iterator,9,mpHistory.ourRating)
|
|
|
1856 |
# ourShippingTime= str(flipkartDetails.shippingTimeLowerLimitOur) if flipkartDetails.shippingTimeUpperLimitOur==0\
|
|
|
1857 |
# else str(flipkartDetails.shippingTimeLowerLimitOur)+'-'+str(flipkartDetails.shippingTimeUpperLimitOur)
|
|
|
1858 |
sheet.write(sheet_iterator,10,mpHistory.ourShippingTime)
|
|
|
1859 |
sheet.write(sheet_iterator,11,mpHistory.ourRank)
|
|
|
1860 |
sheet.write(sheet_iterator,12,mpHistory.ourSellingPrice)
|
|
|
1861 |
sheet.write(sheet_iterator,13,mpHistory.ourTp)
|
|
|
1862 |
sheet.write(sheet_iterator,14,mpHistory.lowestSellerName)
|
|
|
1863 |
sheet.write(sheet_iterator,15,mpHistory.lowestSellerRating)
|
|
|
1864 |
# lowestSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitLowestSeller) if flipkartDetails.shippingTimeUpperLimitLowestSeller==0\
|
|
|
1865 |
# else str(flipkartDetails.shippingTimeLowerLimitLowestSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitLowestSeller)
|
|
|
1866 |
sheet.write(sheet_iterator,16,mpHistory.lowestSellerShippingTime)
|
|
|
1867 |
sheet.write(sheet_iterator,17,mpHistory.lowestSellingPrice)
|
|
|
1868 |
sheet.write(sheet_iterator,18,mpHistory.lowestTp)
|
|
|
1869 |
sheet.write(sheet_iterator,19,mpHistory.prefferedSellerName)
|
|
|
1870 |
sheet.write(sheet_iterator,20,mpHistory.prefferedSellerRating)
|
|
|
1871 |
# prefferedSellerShippingTime= str(flipkartDetails.shippingTimeLowerLimitPrefSeller) if flipkartDetails.shippingTimeUpperLimitPrefSeller==0\
|
|
|
1872 |
# else str(flipkartDetails.shippingTimeLowerLimitPrefSeller)+'-'+str(flipkartDetails.shippingTimeUpperLimitPrefSeller)
|
|
|
1873 |
sheet.write(sheet_iterator,21,mpHistory.prefferedSellerShippingTime)
|
|
|
1874 |
sheet.write(sheet_iterator,22,mpHistory.prefferedSellerSellingPrice)
|
|
|
1875 |
sheet.write(sheet_iterator,23,mpHistory.prefferedSellerTp)
|
|
|
1876 |
sheet.write(sheet_iterator,24,mpHistory.ourInventory)
|
|
|
1877 |
if (not inventoryMap.has_key(mpHistory.item_id)):
|
| 11193 |
kshitij.so |
1878 |
sheet.write(sheet_iterator, 25, 'Info not available')
|
|
|
1879 |
else:
|
| 11615 |
kshitij.so |
1880 |
sheet.write(sheet_iterator, 25, getNetAvailability(inventoryMap.get(mpHistory.item_id)))
|
|
|
1881 |
sheet.write(sheet_iterator, 26, getOosString((itemSaleMap.get(mpHistory.item_id))[1]))
|
|
|
1882 |
sheet.write(sheet_iterator, 27, (itemSaleMap.get(mpHistory.item_id))[3])
|
|
|
1883 |
sheet.write(sheet_iterator, 28, mpHistory.ourNlc)
|
|
|
1884 |
sheet.write(sheet_iterator, 29, mpHistory.lowestPossibleSp)
|
|
|
1885 |
sheet.write(sheet_iterator, 30, mpHistory.lowestPossibleTp)
|
|
|
1886 |
proposed_sp = max(mpHistory.lowestSellingPrice - max((10, mpHistory.lowestSellingPrice*0.001)), mpHistory.lowestPossibleSp)
|
| 11193 |
kshitij.so |
1887 |
proposed_tp = getTargetTp(proposed_sp,mpItem)
|
|
|
1888 |
sheet.write(sheet_iterator, 31, proposed_sp)
|
|
|
1889 |
sheet.write(sheet_iterator, 32, proposed_tp)
|
| 11615 |
kshitij.so |
1890 |
sheet.write(sheet_iterator, 33, getSalesPotential(mpHistory.lowestPossibleSp,mpHistory.ourNlc))
|
|
|
1891 |
sheet.write(sheet_iterator, 34, mpHistory.totalSeller)
|
| 11193 |
kshitij.so |
1892 |
sheet_iterator+=1
|
| 11615 |
kshitij.so |
1893 |
competitiveNoInventory[:]=[]
|
| 11193 |
kshitij.so |
1894 |
|
|
|
1895 |
autoPricingItems = session.query(MarketPlaceHistory,Item).join((Item,MarketPlaceHistory.item_id==Item.id)).filter(MarketPlaceHistory.timestamp==timestamp).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).filter(MarketPlaceHistory.decision.in_([1,2,3,4])).all()
|
|
|
1896 |
sheet = wbk.add_sheet('Auto Inc and Dec')
|
|
|
1897 |
|
|
|
1898 |
heading_xf = xlwt.easyxf('font: bold on; align: wrap off, vert centre, horiz center')
|
|
|
1899 |
|
|
|
1900 |
excel_integer_format = '0'
|
|
|
1901 |
integer_style = xlwt.XFStyle()
|
|
|
1902 |
integer_style.num_format_str = excel_integer_format
|
|
|
1903 |
xstr = lambda s: s or ""
|
|
|
1904 |
|
|
|
1905 |
sheet.write(0, 0, "Item ID", heading_xf)
|
|
|
1906 |
sheet.write(0, 1, "Brand", heading_xf)
|
|
|
1907 |
sheet.write(0, 2, "Product Name", heading_xf)
|
|
|
1908 |
sheet.write(0, 3, "Decision", heading_xf)
|
|
|
1909 |
sheet.write(0, 4, "Reason", heading_xf)
|
|
|
1910 |
sheet.write(0, 5, "Old Selling Price", heading_xf)
|
|
|
1911 |
sheet.write(0, 6, "Selling Price Updated",heading_xf)
|
|
|
1912 |
|
|
|
1913 |
sheet_iterator=1
|
|
|
1914 |
for autoPricingItem in autoPricingItems:
|
|
|
1915 |
mpHistory = autoPricingItem[0]
|
|
|
1916 |
item = autoPricingItem[1]
|
|
|
1917 |
it = Item.query.filter_by(id=item.id).one()
|
|
|
1918 |
sheet.write(sheet_iterator, 0, item.id)
|
|
|
1919 |
sheet.write(sheet_iterator, 1, it.brand)
|
|
|
1920 |
sheet.write(sheet_iterator, 2, xstr(it.brand)+" "+xstr(it.model_name)+" "+xstr(it.model_number)+" "+xstr(it.color))
|
|
|
1921 |
sheet.write(sheet_iterator, 3, Decision._VALUES_TO_NAMES.get(mpHistory.decision))
|
|
|
1922 |
sheet.write(sheet_iterator, 4, mpHistory.reason)
|
|
|
1923 |
if Decision._VALUES_TO_NAMES.get(mpHistory.decision) == "AUTO_DECREMENT_SUCCESS":
|
|
|
1924 |
sheet.write(sheet_iterator, 5, mpHistory.ourSellingPrice)
|
|
|
1925 |
sheet.write(sheet_iterator, 6, math.ceil(mpHistory.proposedSellingPrice))
|
|
|
1926 |
if Decision._VALUES_TO_NAMES.get(mpHistory.decision) == "AUTO_INCREMENT_SUCCESS":
|
|
|
1927 |
sheet.write(sheet_iterator, 5, mpHistory.ourSellingPrice)
|
|
|
1928 |
sheet.write(sheet_iterator, 6, math.ceil(mpHistory.ourSellingPrice+max(10,.01*mpHistory.ourSellingPrice)))
|
|
|
1929 |
sheet_iterator+=1
|
|
|
1930 |
|
|
|
1931 |
filename = "/tmp/flipkart-report-"+runType+" " + str(timestamp) + ".xls"
|
|
|
1932 |
wbk.save(filename)
|
|
|
1933 |
try:
|
| 11560 |
kshitij.so |
1934 |
EmailAttachmentSender.mail("build@shop2020.in", "cafe@nes", ["kshitij.sood@saholic.com"], " Flipkart Auto Pricing "+runType+" " + str(timestamp), "", [get_attachment_part(filename)], [""], [])
|
|
|
1935 |
#EmailAttachmentSender.mail("build@shop2020.in", "cafe@nes", ["chandan.kumar@saholic.com","manoj.kumar@saholic.com","yukti.jain@saholic.com","ankush.dhingra@saholic.com","manoj.pal@saholic.com"], " Flipkart Scraping "+runType+" " + str(timestamp), "", [get_attachment_part(filename)], ["rajneesh.arora@saholic.com","anikendra.das@saholic.com","vikram.raghav@saholic.com","kshitij.sood@saholic.com","chaitnaya.vats@saholic.com","khushal.bhatia@saholic.com"], [])
|
| 11193 |
kshitij.so |
1936 |
except Exception as e:
|
|
|
1937 |
print e
|
|
|
1938 |
print "Unable to send report.Trying with local SMTP"
|
|
|
1939 |
smtpServer = smtplib.SMTP('localhost')
|
|
|
1940 |
smtpServer.set_debuglevel(1)
|
|
|
1941 |
sender = 'support@shop2020.in'
|
| 11560 |
kshitij.so |
1942 |
recipients = ["kshitij.sood@saholic.com"]
|
| 11193 |
kshitij.so |
1943 |
msg = MIMEMultipart()
|
| 11228 |
kshitij.so |
1944 |
msg['Subject'] = "Flipkart Scraping" + ' '+runType+' - ' + str(datetime.now())
|
| 11193 |
kshitij.so |
1945 |
msg['From'] = sender
|
| 11560 |
kshitij.so |
1946 |
#recipients = ['rajneesh.arora@saholic.com','anikendra.das@saholic.com','vikram.raghav@saholic.com','kshitij.sood@saholic.com','khushal.bhatia@saholic.com','chaitnaya.vats@saholic.com','chandan.kumar@saholic.com','manoj.kumar@saholic.com','yukti.jain@saholic.com','ankush.dhingra@saholic.com','manoj.pal@saholic.com']
|
| 11193 |
kshitij.so |
1947 |
msg['To'] = ",".join(recipients)
|
|
|
1948 |
fileMsg = email.mime.base.MIMEBase('application','vnd.ms-excel')
|
|
|
1949 |
fileMsg.set_payload(file(filename).read())
|
|
|
1950 |
email.encoders.encode_base64(fileMsg)
|
|
|
1951 |
fileMsg.add_header('Content-Disposition','attachment;filename=flipkart.xls')
|
|
|
1952 |
msg.attach(fileMsg)
|
|
|
1953 |
try:
|
|
|
1954 |
smtpServer.sendmail(sender, recipients, msg.as_string())
|
|
|
1955 |
print "Successfully sent email"
|
|
|
1956 |
except:
|
|
|
1957 |
print "Error: unable to send email."
|
| 11560 |
kshitij.so |
1958 |
|
| 11571 |
kshitij.so |
1959 |
def populateScrapingResults(val):
|
|
|
1960 |
try:
|
|
|
1961 |
flipkartDetails = fetchDetails(val.fkSerialNumber,scraper)
|
|
|
1962 |
val.flipkartDetails = flipkartDetails
|
|
|
1963 |
except Exception as e:
|
|
|
1964 |
print "Unable to fetch details of",val.fkSerialNumber
|
|
|
1965 |
print e
|
|
|
1966 |
val.flipkartDetails = None
|
|
|
1967 |
return
|
|
|
1968 |
|
|
|
1969 |
try:
|
|
|
1970 |
request_url = "https://api.flipkart.net/sellers/skus/%s/listings"%(str(val.skuAtFlipkart))
|
|
|
1971 |
r = requests.get(request_url, auth=('m2z93iskuj81qiid', '0c7ab6a5-98c0-4cdc-8be3-72c591e0add4'))
|
|
|
1972 |
print "Inventory info",r.json()
|
|
|
1973 |
stock_count = int((r.json()['attributeValues'])['stock_count'])
|
|
|
1974 |
except:
|
|
|
1975 |
stock_count = 0
|
|
|
1976 |
|
|
|
1977 |
val.ourFlipkartInventory = stock_count
|
| 11560 |
kshitij.so |
1978 |
|
|
|
1979 |
def threadsToSpawn(runType,itemInfo,scraper,itemPopulated):
|
|
|
1980 |
if runType == RunType.FAVOURITE:
|
| 11615 |
kshitij.so |
1981 |
count = 0
|
|
|
1982 |
pool = ThreadPool(3)
|
|
|
1983 |
startOffset = 0
|
| 11560 |
kshitij.so |
1984 |
endOffset = startOffset
|
| 11615 |
kshitij.so |
1985 |
while(count<3 and endOffset<len(itemInfo)):
|
| 11560 |
kshitij.so |
1986 |
endOffset = startOffset + 20
|
|
|
1987 |
if (endOffset >= len(itemInfo)):
|
|
|
1988 |
endOffset = len(itemInfo)
|
| 11615 |
kshitij.so |
1989 |
print "pool offset start end count"+str(startOffset)+" "+str(endOffset)+" "+str(count)
|
|
|
1990 |
time.sleep(10)
|
|
|
1991 |
pool.map(populateScrapingResults,itemInfo[startOffset:endOffset])
|
|
|
1992 |
#t = Process(target=decideCategory,args=(itemInfo[startOffset:endOffset], scraper))
|
|
|
1993 |
#t = threading.Thread(target=partial(decideCategory, itemInfo[startOffset:endOffset], scraper))
|
| 11560 |
kshitij.so |
1994 |
#t = threading.Thread(target=partial(test, startOffset, endOffset))
|
| 11615 |
kshitij.so |
1995 |
#threads.append(t)
|
| 11560 |
kshitij.so |
1996 |
startOffset = startOffset + 20
|
| 11615 |
kshitij.so |
1997 |
count+=1
|
|
|
1998 |
#[t.start() for t in threads]
|
|
|
1999 |
#[t.join() for t in threads]
|
|
|
2000 |
#threads = []
|
|
|
2001 |
print "terminating while"
|
|
|
2002 |
pool.close()
|
|
|
2003 |
pool.join()
|
|
|
2004 |
print "joining threads"
|
|
|
2005 |
print "returning offset******"
|
| 11560 |
kshitij.so |
2006 |
return endOffset
|
|
|
2007 |
else:
|
| 11561 |
kshitij.so |
2008 |
count = 0
|
| 11571 |
kshitij.so |
2009 |
pool = ThreadPool(5)
|
| 11581 |
kshitij.so |
2010 |
startOffset = 0
|
| 11560 |
kshitij.so |
2011 |
endOffset = startOffset
|
| 11571 |
kshitij.so |
2012 |
while(count<5 and endOffset<len(itemInfo)):
|
| 11581 |
kshitij.so |
2013 |
endOffset = startOffset + 20
|
| 11560 |
kshitij.so |
2014 |
if (endOffset >= len(itemInfo)):
|
|
|
2015 |
endOffset = len(itemInfo)
|
| 11581 |
kshitij.so |
2016 |
print "pool offset start end count"+str(startOffset)+" "+str(endOffset)+" "+str(count)
|
|
|
2017 |
time.sleep(10)
|
| 11571 |
kshitij.so |
2018 |
pool.map(populateScrapingResults,itemInfo[startOffset:endOffset])
|
| 11561 |
kshitij.so |
2019 |
#t = Process(target=decideCategory,args=(itemInfo[startOffset:endOffset], scraper))
|
| 11560 |
kshitij.so |
2020 |
#t = threading.Thread(target=partial(decideCategory, itemInfo[startOffset:endOffset], scraper))
|
|
|
2021 |
#t = threading.Thread(target=partial(test, startOffset, endOffset))
|
| 11561 |
kshitij.so |
2022 |
#threads.append(t)
|
| 11581 |
kshitij.so |
2023 |
startOffset = startOffset + 20
|
| 11561 |
kshitij.so |
2024 |
count+=1
|
|
|
2025 |
#[t.start() for t in threads]
|
|
|
2026 |
#[t.join() for t in threads]
|
|
|
2027 |
#threads = []
|
| 11581 |
kshitij.so |
2028 |
print "terminating while"
|
| 11563 |
kshitij.so |
2029 |
pool.close()
|
|
|
2030 |
pool.join()
|
| 11581 |
kshitij.so |
2031 |
print "joining threads"
|
|
|
2032 |
time.sleep(5)
|
|
|
2033 |
print "returning offset******"
|
| 11571 |
kshitij.so |
2034 |
time.sleep(5)
|
| 11560 |
kshitij.so |
2035 |
return endOffset
|
|
|
2036 |
|
|
|
2037 |
|
| 11193 |
kshitij.so |
2038 |
def main():
|
|
|
2039 |
parser = optparse.OptionParser()
|
|
|
2040 |
parser.add_option("-t", "--type", dest="runType",
|
|
|
2041 |
default="FULL", type="string",
|
|
|
2042 |
help="Run type FULL or FAVOURITE")
|
|
|
2043 |
(options, args) = parser.parse_args()
|
|
|
2044 |
if options.runType not in ('FULL','FAVOURITE'):
|
|
|
2045 |
print "Run type argument illegal."
|
|
|
2046 |
sys.exit(1)
|
|
|
2047 |
timestamp = datetime.now()
|
| 11581 |
kshitij.so |
2048 |
previousProcessingTimestamp = session.query(func.max(MarketPlaceHistory.timestamp)).filter(MarketPlaceHistory.source==OrderSource.FLIPKART).one()
|
| 11193 |
kshitij.so |
2049 |
itemInfo= populateStuff(options.runType,timestamp)
|
| 11560 |
kshitij.so |
2050 |
itemsPopulated = 0
|
| 11615 |
kshitij.so |
2051 |
while (len(itemInfo)>0):
|
| 11560 |
kshitij.so |
2052 |
itemsPopulated = threadsToSpawn(options.runType,itemInfo,scraper,itemsPopulated)
|
| 11581 |
kshitij.so |
2053 |
cantCompete, buyBoxItems, competitive, competitiveNoInventory, exceptionItems, negativeMargin, cheapButNotPref, prefButNotCheap = decideCategory(itemInfo[0:itemsPopulated])
|
|
|
2054 |
itemInfo[0:itemsPopulated] = []
|
|
|
2055 |
commitExceptionList(exceptionItems,timestamp)
|
|
|
2056 |
commitCantCompete(cantCompete,timestamp)
|
|
|
2057 |
commitBuyBox(buyBoxItems,timestamp)
|
|
|
2058 |
commitCompetitive(competitive,timestamp)
|
|
|
2059 |
commitCompetitiveNoInventory(competitiveNoInventory,timestamp)
|
|
|
2060 |
commitNegativeMargin(negativeMargin,timestamp)
|
|
|
2061 |
commitCheapButNotPref(cheapButNotPref,timestamp)
|
|
|
2062 |
commitPrefButNotCheap(prefButNotCheap, timestamp)
|
|
|
2063 |
cantCompete[:], buyBoxItems[:], competitive[:], competitiveNoInventory[:], exceptionItems[:], negativeMargin[:], cheapButNotPref[:], prefButNotCheap[:] =[],[],[],[],[],[],[],[]
|
|
|
2064 |
|
| 11615 |
kshitij.so |
2065 |
successfulAutoDecrease = fetchItemsForAutoDecrease(timestamp)
|
|
|
2066 |
successfulAutoIncrease = fetchItemsForAutoIncrease(timestamp)
|
|
|
2067 |
if options.runType=='FULL':
|
|
|
2068 |
previousAutoFav, nowAutoFav = markAutoFavourite()
|
|
|
2069 |
write_report(previousAutoFav,nowAutoFav,timestamp,options.runType)
|
| 11193 |
kshitij.so |
2070 |
|
|
|
2071 |
if __name__ == '__main__':
|
|
|
2072 |
main()
|