Subversion Repositories SmartDukaan

import pymongo

from dtr.utils.utils import to_java_date, getNlcPoints

from datetime import datetime, timedelta

from dtr.utils import AmazonPriceOnlyScraper, AmazonDealScraper

from multiprocessing import Pool as ThreadPool

from multiprocessing import cpu_count

import optparse

from dtr.storage.MemCache import MemCache

from dtr.utils.utils import getCashBack

import traceback

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)

ignoreItems = []

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':1}))

        for data in amazonBestSellers:

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

                data['dealFlag'] = 0

                data['dealType'] = 0

                data['dealPoints'] = 0

                data['manualDealThresholdPrice'] = None

                toScrapMap[data['_id']] = data

    dealFlagged = list(get_mongo_connection().Catalog.Deals.find({'source_id':1,'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']}))

            data[0]['dealFlag'] = 0

            data[0]['dealType'] = 0

            data[0]['dealPoints'] = 0

            data[0]['manualDealThresholdPrice'] = None

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

    manualDeals = list(get_mongo_connection().Catalog.ManualDeals.find({'startDate':{'$lte':to_java_date(datetime.now())},'endDate':{'$gte':to_java_date(datetime.now())},'source_id':1}))

    for manualDeal in manualDeals:

        if not toScrapMap.has_key(manualDeal['sku']):

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

            if len(data) > 0:

                data[0]['dealFlag'] = 1

                data[0]['dealType'] = manualDeal['dealType']

                data[0]['dealPoints'] = manualDeal['dealPoints']

                data[0]['manualDealThresholdPrice'] = manualDeal['dealThresholdPrice']

                toScrapMap[manualDeal['sku']] = data[0]

        else:

            data = toScrapMap.get(manualDeal['sku'])

            data['dealFlag'] = 1

            data['dealType'] = manualDeal['dealType']

            data['dealPoints'] = manualDeal['dealPoints']

            data['manualDealThresholdPrice'] = manualDeal['dealThresholdPrice']

    pool = ThreadPool(cpu_count() * 2)

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

    pool.close()

    pool.join()

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

def scrapeAmazon(data):

    inStock = 0

    dealScraping = False

    print str(data['identifier'])

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

        return

    if data['_id'] in ignoreItems:

        print "Ignored items returning for %d"%(data['_id'])

        return 

    try:

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

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

            return

    except:

        pass

    url = "http://www.amazon.in/gp/offer-listing/%s/ref=olp_sort_ps"%(data['identifier'].strip())

    try:

        if data['dealFlag'] ==1 and data['dealType'] ==1:

            deal_url = "http://www.amazon.in/dp/%s"%(data['identifier'].strip())

            dealScraping = True

    except:

        data['dealFlag'] = 0

        data['dealType'] = 0

    print url

    lowestPrice = 0.0

    if not dealScraping:

        scraperAmazon = AmazonPriceOnlyScraper.AmazonScraper()

        lowestPrice = scraperAmazon.read(url)

    else:

        dealScraperAmazon = AmazonDealScraper.AmazonScraper()

        lowestPrice = dealScraperAmazon.read(deal_url)

        if lowestPrice == 0:

            scraperAmazon = AmazonPriceOnlyScraper.AmazonScraper()

            lowestPrice = scraperAmazon.read(url)

            dealScraping = False

    print lowestPrice

    if lowestPrice > 0:

        inStock = 1

    print lowestPrice

    print inStock

    if lowestPrice > 0:

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

    try:

        recomputeDeal(data)

    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 recomputePoints(item, deal):

    try:

        if item.get('available_price') == deal['available_price']:

            print "No need to compute points for %d , as price is still same" %(item['_id'])

            raise

        nlcPoints = getNlcPoints(item, deal['minNlc'], deal['maxNlc'], deal['available_price'])

    except:

        traceback.print_exc()

        nlcPoints = deal['nlcPoints']

    if item['manualDealThresholdPrice'] >= deal['available_price']:

        dealPoints = item['dealPoints']

    else:

        dealPoints = 0

    get_mongo_connection().Catalog.Deals.update({'_id':deal['_id']},{"$set":{'totalPoints':deal['totalPoints'] - deal['nlcPoints'] + nlcPoints - deal['dealPoints'] +dealPoints , 'nlcPoints': nlcPoints, 'dealPoints': dealPoints, 'manualDealThresholdPrice': item['manualDealThresholdPrice']}})

def recomputeDeal(item):

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

    print "Recomputing for bundleId",item.get('skuBundleId')

    skuBundleId = item['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()

#        try:

#            cashBack = getCashBack(similarItem['_id'], similarItem['source_id'], similarItem['category_id'], mc, options.mongoHost)

#            if not cashBack or cashBack.get('cash_back_status')!=1:

#                pass

#            else:

#                if cashBack['cash_back_type'] ==1:

#                    similarItem['available_price'] = similarItem['available_price'] - similarItem['available_price'] * float(cashBack['cash_back'])/100

#                elif cashBack['cash_back_type'] ==2:

#                    similarItem['available_price'] = similarItem['available_price'] - float(cashBack['cash_back'])

#                else:

#                    pass

#        except Exception as cashBackEx:

#            print cashBackEx

#            print "Error calculating cashback."

        if similarItem['_id'] == item['_id']:

            try:

                recomputePoints(item, similarItem)

            except:

                traceback.print_exc()

        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()