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13828 kshitij.so 1
import pymongo
2
from dtr.utils.utils import to_java_date
13915 kshitij.so 3
from datetime import datetime, timedelta
13828 kshitij.so 4
from operator import itemgetter
14123 kshitij.so 5
from dtr.utils import FlipkartScraper,NewFlipkartScraper
14178 kshitij.so 6
from multiprocessing import Pool as ThreadPool
14172 kshitij.so 7
from multiprocessing import cpu_count
14255 kshitij.so 8
import optparse
13828 kshitij.so 9
 
10
con = None
11
 
14255 kshitij.so 12
parser = optparse.OptionParser()
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parser.add_option("-m", "--m", dest="mongoHost",
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                      default="localhost",
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                      type="string", help="The HOST where the mongo server is running",
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                      metavar="mongo_host")
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18
(options, args) = parser.parse_args()
19
 
20
def get_mongo_connection(host=options.mongoHost, port=27017):
13828 kshitij.so 21
    global con
22
    if con is None:
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        print "Establishing connection %s host and port %d" %(host,port)
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        try:
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            con = pymongo.MongoClient(host, port)
26
        except Exception, e:
27
            print e
28
            return None
29
    return con
30
 
14149 kshitij.so 31
def populate():
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    toScrapMap = {}
14131 kshitij.so 33
    bestSellers = list(get_mongo_connection().Catalog.MasterData.find({'rank':{'$gt':0}}))
34
    for bestSeller in bestSellers: 
14149 kshitij.so 35
        amazonBestSellers = list(get_mongo_connection().Catalog.MasterData.find({'skuBundleId':bestSeller['skuBundleId'],'source_id':2}))
36
        for data in amazonBestSellers:
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            if not toScrapMap.has_key(data['_id']):
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                toScrapMap[data['_id']] = data
14251 kshitij.so 39
    dealFlagged = list(get_mongo_connection().Catalog.Deals.find({'source_id':2,'showDeal':1,'totalPoints':{'$gt':0}}))
40
    for deal in dealFlagged:
41
        if not toScrapMap.has_key(deal['_id']):
14262 kshitij.so 42
            data = list(get_mongo_connection().Catalog.MasterData.find({'_id':deal['_id']}))
43
            toScrapMap[deal['_id']] = data[0]
14178 kshitij.so 44
    pool = ThreadPool(cpu_count() *2)
14149 kshitij.so 45
    pool.map(scrapeFlipkart,toScrapMap.values())
46
    pool.close()
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    pool.join()
14251 kshitij.so 48
    print "joining threads at %s"%(str(datetime.now()))
14149 kshitij.so 49
 
50
def scrapeFlipkart(data):
51
    if data['source_id']!=2:
14157 kshitij.so 52
        return
14149 kshitij.so 53
    retryCount = 0
54
    print str(data['identifier'])
55
    if data['identifier'] is None or len(data['identifier'].strip())==0:
14157 kshitij.so 56
        print "returning in valid identifier"
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        return
14149 kshitij.so 58
 
59
    try:
60
        if data['priceUpdatedOn'] > to_java_date(datetime.now() - timedelta(minutes=5)):
61
            print "sku id is already updated",data['_id'] 
14157 kshitij.so 62
            return
14149 kshitij.so 63
    except:
64
        pass
65
 
66
 
67
    lowestSp = 0
68
    inStock = 0
14157 kshitij.so 69
    scraperFk = FlipkartScraper.FlipkartScraper()
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    scraperProductPage = NewFlipkartScraper.FlipkartProductPageScraper()
14149 kshitij.so 71
    try:
72
        if data['marketPlaceUrl']!="" or data['marketPlaceUrl'] !="http://www.flipkart.com/ps/%s"%(data['identifier']):
73
            result = scraperProductPage.read(data['marketPlaceUrl'])
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            if result.get('lowestSp')!=0:
75
                lowestSp = result.get('lowestSp')
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                inStock = result.get('inStock')
77
    except:
78
        print "Unable to scrape product page ",data['identifier']
79
 
80
 
81
    if lowestSp == 0:
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        url = "http://www.flipkart.com/ps/%s"%(data['identifier'].strip())
83
        while(retryCount < 3):
14131 kshitij.so 84
            try:
14149 kshitij.so 85
                vendorsData = scraperFk.read(url)
86
                fetched = True
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                break
88
            except Exception as e:
89
                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:
95
            print "Unable to fetch data after multiple tries.Continue for ",data['identifier']
14157 kshitij.so 96
            return
14149 kshitij.so 97
 
98
        sortedVendorsData = []
99
        sortedVendorsData = sorted(vendorsData, key=itemgetter('sellingPrice'))
100
        print "data",sortedVendorsData
101
        lowestSp, iterator = (0,)*2
102
        for vData in sortedVendorsData:
103
            if iterator == 0:
104
                lowestSp = vData['sellingPrice']
105
            break
106
        if lowestSp > 0:
107
            inStock = 1
108
    print lowestSp
109
    print inStock
110
    if lowestSp > 0:
111
        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp,'updatedOn':to_java_date(datetime.now()),'priceUpdatedOn':to_java_date(datetime.now()),'in_stock':inStock}}, multi=True)
112
        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'available_price':lowestSp , 'in_stock':inStock}}, multi=True)
113
    else:
114
        get_mongo_connection().Catalog.MasterData.update({'_id':data['_id']}, {'$set' : {'updatedOn':to_java_date(datetime.now()),'in_stock':inStock,'priceUpdatedOn':to_java_date(datetime.now())}}, multi=True)
115
        get_mongo_connection().Catalog.Deals.update({'_id':data['_id']}, {'$set' : {'in_stock':inStock}}, multi=True)
116
 
117
    try:
118
        recomputeDeal(data['skuBundleId'])
119
    except:
120
        print "Unable to compute deal for ",data['skuBundleId']
13828 kshitij.so 121
 
13915 kshitij.so 122
def recomputeDeal(skuBundleId):
123
    """Lets recompute deal for this bundle"""
124
    print "Recomputing for bundleId",skuBundleId
125
 
126
    similarItems = list(get_mongo_connection().Catalog.Deals.find({'skuBundleId':skuBundleId}).sort([('available_price',pymongo.ASCENDING)]))
127
    bestPrice = float("inf")
128
    bestOne = None
129
    bestSellerPoints = 0
130
    toUpdate = []
131
    for similarItem in similarItems:
13974 kshitij.so 132
        if similarItem['in_stock'] == 0 or similarItem['maxprice'] is None or similarItem['maxprice'] < similarItem['available_price']:
13915 kshitij.so 133
            get_mongo_connection().Catalog.Deals.update({ '_id' : similarItem['_id'] }, {'$set':{'showDeal':0 }})
134
            continue
135
        if similarItem['available_price'] < bestPrice:
136
            bestOne = similarItem
137
            bestPrice = similarItem['available_price']
138
            bestSellerPoints = similarItem['bestSellerPoints']
139
        elif similarItem['available_price'] == bestPrice and bestSellerPoints < similarItem['bestSellerPoints']:
140
            bestOne = similarItem
141
            bestPrice = similarItem['available_price']
142
            bestSellerPoints = similarItem['bestSellerPoints']
143
        else:
144
            pass
145
    if bestOne is not None:
146
        for similarItem in similarItems:
147
            toUpdate.append(similarItem['_id'])
148
        toUpdate.remove(bestOne['_id'])
149
        get_mongo_connection().Catalog.Deals.update({ '_id' : bestOne['_id'] }, {'$set':{'showDeal':1 }})
150
    if len(toUpdate) > 0:
151
        get_mongo_connection().Catalog.Deals.update({ '_id' : { "$in": toUpdate } }, {'$set':{'showDeal':0 }},upsert=False, multi=True)
152
 
13828 kshitij.so 153
def main():
14157 kshitij.so 154
    populate()
13828 kshitij.so 155
 
156
if __name__=='__main__':
157
    main()