def __init__(self):
HasOffers.__init__(
self,
affiliate='shopstylers',
network_id='sscpa',
api_key='fd48513d3b1502e9e77d8ec0fd7ba28f43225ea44525d74271bb7706d588e851',
)
def __init__(self):
HasOffers.__init__(
self,
affiliate='lazada',
network_id='lazada',
api_key='d7fb242b4dd56d243ccdfc435509fc8e454ebbd0e351801a116e67eec7a1a283',
merchant_name='lazada',
merchant_id='LZ',
)
def __init__(self):
HasOffers.__init__(
self,
affiliate='BliBli',
network_id='affiliateblibli',
api_key=
'eb57397bac4b0f307efdc90a1f5c42541f06dd8990da2908a566810164c6bb07',
merchant_name='BliBli',
merchant_id='blibli.com',
currency='IDR')
def __init__(self):
HasOffers.__init__(
self,
affiliate='zalora',
network_id='zalorasea',
api_key=
'60f10cb0a51c93ac9d0cd39943896e07dc948d8cfa33900a944c296a82032e7f',
merchant_name='zalora',
merchant_id='ZA',
)
def __init__(self):
HasOffers.__init__(
self,
affiliate='berrybenka',
network_id='berrybenka',
api_key=
'6fad99df15d13d45f3bdcec18e08c5a6ae85e7c6e8b46f191d8c8e69e116abae',
merchant_name='BerryBenka',
merchant_id='berrybenka.com',
currency='IDR')
def __init__(self):
HasOffers.__init__(
self,
affiliate='mataharimall',
network_id='mataharimall',
api_key=
'8364d537e84a82afb71e221a076a368d35f49c87ccdedf040e2d2637ee71c948',
merchant_name='MatahariMall',
merchant_id='MM101', #TODO change the id to mataharimall.com
currency='IDR')
def get_transactions(self, start_date, end_date):
conversions = HasOffers.get_transactions(self, start_date, end_date)
if len(conversions) > 0:
# remove invalid rows from wrong sync
conversions = conversions[conversions['ho:Stat.pixel_refer'] != 'invalid_conversion']
# setting order id
conversions['ipg:orderId'] = conversions.apply(
lambda x: x['ipg:orderId'] if pandas.notnull(x['ipg:orderId']) and (
len(x['ipg:orderId'].strip()) != 0 and str(x['ipg:orderId']).strip() not in ['ORDER_ID',
'undefined'])
else pandas.np.nan, axis=1)
# setting the affiliate to the original one before syncing
conversions['ipg:sourceAffiliate'] = conversions['ipg:affiliateNetwork']
conversions['ipg:affiliateNetwork'] = conversions.apply(
lambda x: parse.detect_original_affiliate(x['ipg:source'],
x['ho:Stat.affiliate_info4'],
x['ho:Stat.affiliate_info5']) or x['ipg:affiliateNetwork'], axis=1)
conversions = self.detect_test_orders(conversions)
conversions = self.detect_duplicated_orders(conversions)
return conversions
def get_transactions(self, start_date, end_date):
# return empty resultset after Nov 30th 2017 as involveasia will be used
if start_date > date(2017, 11, 30):
return pandas.DataFrame()
data = HasOffers.get_transactions(self, start_date, end_date)
return data
def get_performance(self, start_date, end_date):
performance = HasOffers.get_performance(self, start_date, end_date)
if len(performance) > 0:
performance = self.detect_test_orders(performance)
performance['ipg:sourceAffiliate'] = performance['ipg:affiliateNetwork']
return performance
def __init__(self):
HasOffers.__init__(
self,
affiliate='ipricegroup',
network_id='ipricegroup',
api_key='NETJAz6IdhEXRABSEyWJgo2GLHz5mT',
use_network_api=True
)
self.test_orders = {
'ho:Stat.source': ['test', 'testoffer',
'testoffer??utm_medium=referral&utm_source=iprice&utm_campaign=affiliate'],
'ho:Offer.name': ['iprice test offer', 'MY myVoucher', 'MK1 Offer', 'Test Store', 'Test Company Shop HK',
'voucher',
'Test Offer'],
'ho:Stat.affiliate_info1': ['testoffer', 'test', 'Hussein', 'testofferthang'],
'ho:Stat.affiliate_info2': ['Reza'],
'ho:Stat.status_code': [21]
}
def get_transactions(self, start_date, end_date):
data = HasOffers.get_transactions(self, start_date, end_date)
if len(data) > 0:
data['ipg:orderValue'] = data.apply(lambda x: (float(x['ho:Stat.payout']) / 0.0641) if (
'mobile app' in x['ho:Offer.name'].lower() and
datetime.strptime(x['ho:Stat.datetime'], '%Y-%m-%d %H:%M:%S') <= datetime(2016, 5, 31)) else
x['ho:Stat.sale_amount'], axis=1)
return data