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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

con = None
scraperFk = FlipkartScraper.FlipkartScraper()
scraperProductPage = NewFlipkartScraper.FlipkartProductPageScraper()

def get_mongo_connection(host='localhost', 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 scrapeFlipkart():
    flipkartBestSellers = list(get_mongo_connection().Catalog.MasterData.find({'rank':{'$gt':0}}))
    for data in flipkartBestSellers:
        if data['source_id']!=2:
            continue
        inStock = 0
        retryCount = 0
        print str(data['identifier'])
        if data['identifier'] is None or len(data['identifier'].strip())==0:
            print "continue"
            continue
        
        try:
            if data['priceUpdatedOn'] > to_java_date(datetime.now() - timedelta(minutes=5)):
                print "sku id is already updated",data['_id'] 
                continue
        except:
            pass
        
        
        lowestSp = 0
        inStock = 0
        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']
                continue
            
            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 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 similarItem['in_stock'] == 0 or similarItem['maxprice'] is None or similarItem['maxprice'] < similarItem['available_price']:
            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():
    scrapeFlipkart()
            
if __name__=='__main__':
    main()