Subversion Repositories SmartDukaan

import pymongo

from dtr.utils.utils import to_java_date

from datetime import datetime, timedelta

from operator import itemgetter

from dtr.utils import FlipkartScraper,NewFlipkartScraper

from multiprocessing import Pool as ThreadPool

from multiprocessing import cpu_count

import optparse

from dtr.storage.MemCache import MemCache

con = None

parser = optparse.OptionParser()

parser.add_option("-m", "--m", dest="mongoHost",

                      default="localhost",

                      type="string", help="The HOST where the mongo server is running",

                      metavar="mongo_host")

(options, args) = parser.parse_args()

mc = MemCache(options.mongoHost)

def get_mongo_connection(host=options.mongoHost, port=27017):

    global con

    if con is None:

        print "Establishing connection %s host and port %d" %(host,port)

        try:

            con = pymongo.MongoClient(host, port)

        except Exception, e:

            print e

            return None

    return con

def populate():

    toScrapMap = {}

    bestSellers = list(get_mongo_connection().Catalog.MasterData.find({'rank':{'$gt':0}}))

    for bestSeller in bestSellers: 

        amazonBestSellers = list(get_mongo_connection().Catalog.MasterData.find({'skuBundleId':bestSeller['skuBundleId'],'source_id':2}))

        for data in amazonBestSellers:

            if not toScrapMap.has_key(data['_id']):

                toScrapMap[data['_id']] = data

    dealFlagged = list(get_mongo_connection().Catalog.Deals.find({'source_id':2,'showDeal':1,'totalPoints':{'$gt':0}}))

    for deal in dealFlagged:

        if not toScrapMap.has_key(deal['_id']):

            data = list(get_mongo_connection().Catalog.MasterData.find({'_id':deal['_id']}))

            toScrapMap[deal['_id']] = data[0]

    pool = ThreadPool(cpu_count() *2)

    pool.map(scrapeFlipkart,toScrapMap.values())

    pool.close()

    pool.join()

    print "joining threads at %s"%(str(datetime.now()))

def scrapeFlipkart(data):

    if data['source_id']!=2:

        return

    retryCount = 0

    print str(data['identifier'])

    if data['identifier'] is None or len(data['identifier'].strip())==0:

        print "returning in valid identifier"

        return

    try:

        if data['priceUpdatedOn'] > to_java_date(datetime.now() - timedelta(minutes=5)):

            print "sku id is already updated",data['_id'] 

            return

    except:

        pass

    lowestSp = 0

    inStock = 0

    scraperFk = FlipkartScraper.FlipkartScraper()

    scraperProductPage = NewFlipkartScraper.FlipkartProductPageScraper()

    try:

        if data['marketPlaceUrl']!="" or data['marketPlaceUrl'] !="http://www.flipkart.com/ps/%s"%(data['identifier']):

            result = scraperProductPage.read(data['marketPlaceUrl'])

            if result.get('lowestSp')!=0:

                lowestSp = result.get('lowestSp')

                inStock = result.get('inStock')

    except:

        print "Unable to scrape product page ",data['identifier']

    if lowestSp == 0:

        url = "http://www.flipkart.com/ps/%s"%(data['identifier'].strip())

        while(retryCount < 3):

            try:

                vendorsData = scraperFk.read(url)

                fetched = True

                break

            except Exception as e:

                print "***Retry count ",retryCount 

                retryCount+=1

                if retryCount == 3:

                    fetched = False

                print e

        if not fetched:

            print "Unable to fetch data after multiple tries.Continue for ",data['identifier']

            return

        sortedVendorsData = []

        sortedVendorsData = sorted(vendorsData, key=itemgetter('sellingPrice'))

        print "data",sortedVendorsData

        lowestSp, iterator = (0,)*2

        for vData in sortedVendorsData:

            if iterator == 0:

                lowestSp = vData['sellingPrice']

            break

        if lowestSp > 0:

            inStock = 1

    print lowestSp

    print inStock

    if lowestSp > 0:

        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp,'updatedOn':to_java_date(datetime.now()),'priceUpdatedOn':to_java_date(datetime.now()),'in_stock':inStock}}, multi=True)

        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp , 'in_stock':inStock}}, multi=True)

    else:

        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'updatedOn':to_java_date(datetime.now()),'in_stock':inStock,'priceUpdatedOn':to_java_date(datetime.now())}}, multi=True)

        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'in_stock':inStock}}, multi=True)

    try:

        recomputeDeal(data['skuBundleId'])

    except:

        print "Unable to compute deal for ",data['skuBundleId']

def populateNegativeDeals():

    negativeDeals = get_mongo_connection().Catalog.NegativeDeals.find().distinct('sku')

    mc.set("negative_deals", negativeDeals, 600)  

def recomputeDeal(skuBundleId):

    """Lets recompute deal for this bundle"""

    print "Recomputing for bundleId",skuBundleId

    similarItems = list(get_mongo_connection().Catalog.Deals.find({'skuBundleId':skuBundleId}).sort([('available_price',pymongo.ASCENDING)]))

    bestPrice = float("inf")

    bestOne = None

    bestSellerPoints = 0

    toUpdate = []

    for similarItem in similarItems:

        if mc.get("negative_deals") is None:

            populateNegativeDeals()

        if similarItem['in_stock'] == 0 or similarItem['maxprice'] is None or similarItem['maxprice'] < similarItem['available_price'] or similarItem['_id'] in mc.get("negative_deals"):

            get_mongo_connection().Catalog.Deals.update({ '_id' : similarItem['_id'] }, {'$set':{'showDeal':0 }})

            continue

        if similarItem['available_price'] < bestPrice:

            bestOne = similarItem

            bestPrice = similarItem['available_price']

            bestSellerPoints = similarItem['bestSellerPoints']

        elif similarItem['available_price'] == bestPrice and bestSellerPoints < similarItem['bestSellerPoints']:

            bestOne = similarItem

            bestPrice = similarItem['available_price']

            bestSellerPoints = similarItem['bestSellerPoints']

        else:

            pass

    if bestOne is not None:

        for similarItem in similarItems:

            toUpdate.append(similarItem['_id'])

        toUpdate.remove(bestOne['_id'])

        get_mongo_connection().Catalog.Deals.update({ '_id' : bestOne['_id'] }, {'$set':{'showDeal':1 }})

    if len(toUpdate) > 0:

        get_mongo_connection().Catalog.Deals.update({ '_id' : { "$in": toUpdate } }, {'$set':{'showDeal':0 }},upsert=False, multi=True)

def main():

    populate()

if __name__=='__main__':

    main()