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import pymongo
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import pymongo
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from dtr.utils.utils import to_java_date
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from dtr.utils.utils import to_java_date
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from datetime import datetime, timedelta
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from datetime import datetime, timedelta
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from operator import itemgetter
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from operator import itemgetter
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from dtr.utils import FlipkartScraper,NewFlipkartScraper
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from dtr.utils import FlipkartScraper,NewFlipkartScraper
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from multiprocessing.dummy import Pool as ThreadPool 
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con = None
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con = None
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scraperFk = FlipkartScraper.FlipkartScraper()
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scraperFk = FlipkartScraper.FlipkartScraper()
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scraperProductPage = NewFlipkartScraper.FlipkartProductPageScraper()
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scraperProductPage = NewFlipkartScraper.FlipkartProductPageScraper()
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        except Exception, e:
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        except Exception, e:
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            print e
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            print e
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            return None
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            return None
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    return con
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    return con
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def scrapeFlipkart():
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def populate():
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    toScrapMap = {}
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    bestSellers = list(get_mongo_connection().Catalog.MasterData.find({'rank':{'$gt':0}}))
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    bestSellers = list(get_mongo_connection().Catalog.MasterData.find({'rank':{'$gt':0}}))
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    for bestSeller in bestSellers: 
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    for bestSeller in bestSellers: 
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        flipkartBestSellers = list(get_mongo_connection().Catalog.MasterData.find({'skuBundleId':bestSeller['skuBundleId'],'source_id':2}))
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        amazonBestSellers = list(get_mongo_connection().Catalog.MasterData.find({'skuBundleId':bestSeller['skuBundleId'],'source_id':2}))
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        for data in flipkartBestSellers:
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        for data in amazonBestSellers:
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            if not toScrapMap.has_key(data['_id']):
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                toScrapMap[data['_id']] = data
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    for k, y in toScrapMap.iteritems():
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        print k,
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        print '\t',
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        print y
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    pool = ThreadPool(50)
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    pool.map(scrapeFlipkart,toScrapMap.values())
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    pool.close()
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    pool.join()
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    print "joining threads"
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def scrapeFlipkart(data):
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            if data['source_id']!=2:
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    if data['source_id']!=2:
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                continue
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        continue
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            inStock = 0
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    inStock = 0
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            retryCount = 0
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    retryCount = 0
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            print str(data['identifier'])
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    print str(data['identifier'])
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            if data['identifier'] is None or len(data['identifier'].strip())==0:
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    if data['identifier'] is None or len(data['identifier'].strip())==0:
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                print "continue"
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        print "continue"
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                continue
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        continue
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            try:
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    try:
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                if data['priceUpdatedOn'] > to_java_date(datetime.now() - timedelta(minutes=5)):
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        if data['priceUpdatedOn'] > to_java_date(datetime.now() - timedelta(minutes=5)):
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                    print "sku id is already updated",data['_id'] 
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            print "sku id is already updated",data['_id'] 
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                    continue
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            continue
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            except:
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    except:
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                pass
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        pass
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            lowestSp = 0
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    lowestSp = 0
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            inStock = 0
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    inStock = 0
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            try:
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    try:
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                if data['marketPlaceUrl']!="" or data['marketPlaceUrl'] !="http://www.flipkart.com/ps/%s"%(data['identifier']):
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        if data['marketPlaceUrl']!="" or data['marketPlaceUrl'] !="http://www.flipkart.com/ps/%s"%(data['identifier']):
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                    result = scraperProductPage.read(data['marketPlaceUrl'])
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            result = scraperProductPage.read(data['marketPlaceUrl'])
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                    if result.get('lowestSp')!=0:
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            if result.get('lowestSp')!=0:
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                        lowestSp = result.get('lowestSp')
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                lowestSp = result.get('lowestSp')
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                        inStock = result.get('inStock')
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                inStock = result.get('inStock')
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            except:
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    except:
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                print "Unable to scrape product page ",data['identifier']
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        print "Unable to scrape product page ",data['identifier']
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            if lowestSp == 0:
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    if lowestSp == 0:
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                url = "http://www.flipkart.com/ps/%s"%(data['identifier'].strip())
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        url = "http://www.flipkart.com/ps/%s"%(data['identifier'].strip())
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                while(retryCount < 3):
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        while(retryCount < 3):
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                    try:
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                        vendorsData = scraperFk.read(url)
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                        fetched = True
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                        break
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                    except Exception as e:
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                        print "***Retry count ",retryCount 
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                        retryCount+=1
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                        if retryCount == 3:
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                            fetched = False
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                        print e
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                if not fetched:
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                    print "Unable to fetch data after multiple tries.Continue for ",data['identifier']
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                    continue
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                sortedVendorsData = []
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                sortedVendorsData = sorted(vendorsData, key=itemgetter('sellingPrice'))
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                print "data",sortedVendorsData
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                lowestSp, iterator = (0,)*2
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                for vData in sortedVendorsData:
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                    if iterator == 0:
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                        lowestSp = vData['sellingPrice']
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                    break
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                if lowestSp > 0:
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                    inStock = 1
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            print lowestSp
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            print inStock
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            if lowestSp > 0:
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                get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp,'updatedOn':to_java_date(datetime.now()),'priceUpdatedOn':to_java_date(datetime.now()),'in_stock':inStock}}, multi=True)
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                get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp , 'in_stock':inStock}}, multi=True)
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            else:
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                get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'updatedOn':to_java_date(datetime.now()),'in_stock':inStock,'priceUpdatedOn':to_java_date(datetime.now())}}, multi=True)
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                get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'in_stock':inStock}}, multi=True)
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            try:
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            try:
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                vendorsData = scraperFk.read(url)
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                fetched = True
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                break
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            except Exception as e:
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                print "***Retry count ",retryCount 
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                retryCount+=1
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                if retryCount == 3:
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                    fetched = False
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                print e
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        if not fetched:
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            print "Unable to fetch data after multiple tries.Continue for ",data['identifier']
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            continue
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        sortedVendorsData = []
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        sortedVendorsData = sorted(vendorsData, key=itemgetter('sellingPrice'))
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        print "data",sortedVendorsData
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        lowestSp, iterator = (0,)*2
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        for vData in sortedVendorsData:
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            if iterator == 0:
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                lowestSp = vData['sellingPrice']
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            break
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        if lowestSp > 0:
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            inStock = 1
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    print lowestSp
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    print inStock
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    if lowestSp > 0:
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        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp,'updatedOn':to_java_date(datetime.now()),'priceUpdatedOn':to_java_date(datetime.now()),'in_stock':inStock}}, multi=True)
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        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp , 'in_stock':inStock}}, multi=True)
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    else:
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        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'updatedOn':to_java_date(datetime.now()),'in_stock':inStock,'priceUpdatedOn':to_java_date(datetime.now())}}, multi=True)
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        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'in_stock':inStock}}, multi=True)
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    try:
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                recomputeDeal(data['skuBundleId'])
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        recomputeDeal(data['skuBundleId'])
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            except:
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    except:
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                print "Unable to compute deal for ",data['skuBundleId']
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        print "Unable to compute deal for ",data['skuBundleId']
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def recomputeDeal(skuBundleId):
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def recomputeDeal(skuBundleId):
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    """Lets recompute deal for this bundle"""
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    """Lets recompute deal for this bundle"""
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    print "Recomputing for bundleId",skuBundleId
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    print "Recomputing for bundleId",skuBundleId
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