def get_transactions(self, start_date, end_date):
# return empty result set before Nov 30th 2017 as ShopStylers is used
if start_date <= date(2017, 11, 30):
return pandas.DataFrame()
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['ia:conversion_id'],
order_value=data['ia:sale_amount'],
commision=data['ia:payout'],
status=data['ia:conversion_status'],
cc=data.apply(lambda x: self.detect_cc(x['ia:offer_name']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
x['ia:datetime_conversion'], "%Y-%m-%d %H:%M:%S"),
axis=1),
advertiser_info=data['ia:offer_name'],
order_id='',
currency=data['ia:currency'],
device='',
ip='',
user_agent='',
source=data['ia:aff_sub1'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url='',
merchant_name=data['ia:offer_name'],
merchant_id='')
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['atv:id'],
order_value=data['atv:transaction_value'],
commision=data['atv:commission'],
status=data.apply(
lambda x: self.detect_status(x['atv:status']), axis=1),
cc='VN',
timestamp=data.apply(lambda x: parse.parse_datetime(
x['atv:transaction_time'], "%Y-%m-%dT%H:%M:%S"),
axis=1),
advertiser_info='',
order_id=data['atv:transaction_id'],
currency='VND',
device=data.apply(lambda x: self.detect_device(
x['atv:os'], x['atv:browser']),
axis=1),
ip='',
user_agent=data.apply(
lambda x: x['atv:os'] + ', ' + x['atv:browser'], axis=1),
source=data['atv:utm_source'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['atv:click_url'],
merchant_name=data['atv:merchant'],
merchant_id='',
)
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['ph:conversion_item_id'],
order_value=data['ph:item_value'],
commision=data['ph:item_publisher_commission'],
status=data['ph:item_status'],
cc=data.apply(
lambda x: x['ph:country'] if x['ph:country'] in ['ID', 'HK', 'MY', 'PH', 'SG', 'TH', 'VN'] else '',
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(x['ph:conversion_time'], "%Y-%m-%d %H:%M:%S"),
axis=1),
advertiser_info=data['ph:advertiser_reference'],
order_id=data['ph:conversion_id'],
currency=data['ph:currency'],
device=data.apply(lambda x: self.parse_device(x['ph:ref_device']), axis=1),
ip=data['ph:referer_ip'],
user_agent=data['ph:ref_device'],
source=data['ph:publisher_reference'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url='', #TODO: use source_referer
merchant_name=self.merchant_name,
merchant_id=data.apply(lambda x: self.merchant_id + x['ph:country'], axis=1)
)
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['ag:TransactionId'],
order_value=data['ag:OrderAmount'],
commision=data['ag:AffiliateCommissionAmount'],
status=data.apply(lambda x: self.detect_status(x['ag:ApprovalStatus']), axis=1),
cc=data.apply(
lambda x: self.detect_cc(x['ag:OriginURL'], x['ag:ProgramName'], x['ag:AffiliateSiteId']), axis=1),
timestamp=data.apply(
lambda x: parse.parse_datetime(x['ag:TransactionDateTime'], "%d/%m/%Y %H:%M:%S"), axis=1),
advertiser_info=data['ag:MerchantName'],
order_id=data['ag:TransactionId'],
currency='USD',
device='',
ip='',
user_agent='',
source=data['ag:AffiliateSubId'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['ag:OriginURL'],
merchant_name=data['ag:MerchantName'],
merchant_id=data.apply(lambda x: self.affiliate + str(x['ag:MerchantId']), axis=1)
)
return data
def parse_cpc(self, data):
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id='',
order_value='',
commision=data['ho:Stat.payout'],
status="approved",
cc=data.apply(lambda x: self.detect_cc(
"", x['ho:Offer.name'], x['ho:Country.name'], x[
'ho:Stat.affiliate_info1'], x['ho:Stat.currency']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
x['ho:Stat.date'], "%Y-%m-%d"),
axis=1),
advertiser_info='',
order_id='',
currency=data['ho:Stat.currency'],
device=data.apply(lambda x: self.detect_device(
x['ho:Browser.display_name'], None, x['ho:Offer.name']),
axis=1),
ip='',
user_agent='',
source=data['ho:Stat.source'],
affiliate_network=self.affiliate,
deal_type='CPC',
exit_url='',
merchant_name=data['ho:Offer.name'],
merchant_id='',
)
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['cf:Id'],
order_value=data['cf:SaleValue'],
commision=data['cf:Commission'],
status=data.apply(lambda x: self.detect_status(x['cf:Status']),
axis=1),
cc=data.apply(lambda x: self.detect_cc(x['cf:TrafficSource']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
self.detect_date_time(x['cf:DateCreated'].split('.')[0]),
"%Y-%m-%dT%H:%M:%S"),
axis=1),
advertiser_info='',
order_id=data['cf:OrderId'],
currency='AUD',
device='',
ip=data['cf:CustomerIpAddress'],
user_agent='',
source=data['cf:UniqueId'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['cf:TrafficSource'],
merchant_name=data['cf:MerchantName'],
merchant_id=data['cf:MerchantId'])
return data
def get_transactions(self, start_date, end_date):
data = pandas.DataFrame(
data=self.request(start_date, end_date, 'statistics/actions'))
data = data.rename(columns=lambda x: 'aa:' + x)
data = mapper.map_to_ipg(
data,
id=data['aa:action_id'],
order_value=data['aa:cart'],
commision=data['aa:payment'],
status=data.apply(lambda x: self.detect_status(x['aa:status']),
axis=1),
cc=data.apply(lambda x: self.detect_cc(x['aa:click_user_referer'],
x['aa:website_name']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
x['aa:action_date'], "%Y-%m-%d %H:%M:%S"),
axis=1),
advertiser_info='',
order_id=data['aa:order_id'],
currency=data['aa:currency'],
device='',
ip=data['aa:click_user_ip'],
user_agent='',
source=data['aa:subid'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['aa:click_user_referer'],
merchant_name=data['aa:advcampaign_name'],
merchant_id=data['aa:advcampaign_id'])
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['at:seqNo'],
order_value=data['at:Total Price'],
commision=data['at:Reward Amount'],
status=data.apply(lambda x: self.parse_status(x['at:Status']),
axis=1),
cc='TH',
timestamp=data.apply(lambda x: parse.parse_datetime(
x['at:Occur Date'], "%Y/%m/%d %H:%M:%S"),
axis=1),
advertiser_info=data['at:Campaign Name'],
order_id=data['at:Creative Id'],
currency='THB',
device='',
ip='',
user_agent=data['at:click_user_agent']
if 'at:click_user_agent' in data.columns else '',
source=data['at:subid'] if 'at:subid' in data.columns else '',
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url='',
merchant_name=data['at:Campaign Name'],
merchant_id='')
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
country = data.apply(lambda x: self.detect_cc(
str(x['cj:website-id']), x['cj:advertiser-name']),
axis=1)
data = mapper.map_to_ipg(
data,
id=data['cj:commission-id'],
order_value=data['cj:sale-amount'],
commision=data['cj:commission-amount'],
status=data.apply(lambda x: self.detect_status(
x['cj:action-status'], x['cj:sale-amount']),
axis=1),
cc=country,
timestamp=data.apply(lambda x: parse.parse_datetime(
x['cj:event-date'], "%Y-%m-%dT%H:%M:%S-%f"),
axis=1),
advertiser_info=data['cj:aid'],
order_id=country +
data.apply(lambda x: filter(str.isdigit, str(x['cj:order-id']))
or str(x['cj:order-id']),
axis=1),
currency='USD',
device='',
ip='',
user_agent='',
source=data['cj:sid'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url='',
merchant_name=data['cj:advertiser-name'],
merchant_id=data.apply(
lambda x: self.affiliate + str(x['cj:cid']), axis=1))
data = self.convert_transactions(data)
return data
def get_transactions(self, start_date, end_date):
data = self.download(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['cs:Transaction ID'],
order_value=data['cs:Order Value'],
commision=data.apply(
lambda x: self.detect_commission(x['cs:Commission']),
axis=1),
status=data.apply(lambda x: self.detect_status(
x['cs:Status'], x['cs:Order Value']),
axis=1),
cc=data.apply(lambda x: self.detect_cc(x['cs:Website']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
x['cs:Date (Time)'], "%Y-%m-%d (%H:%M:%S)"),
axis=1),
advertiser_info=data['cs:Program'],
order_id=data['cs:Creative ID'],
currency=data.apply(
lambda x: self.detect_currency(x['cs:Commission']),
axis=1),
device='',
ip=data['cs:IP Address'],
user_agent='',
source=data['cs:Member Id'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['cs:URL'],
merchant_name=data['cs:Program'],
merchant_id=data.apply(
lambda x: self.affiliate + str(x['cs:Program ID']),
axis=1))
return data
def parse_cps(self, data):
if len(data) > 0:
country = data.apply(lambda x: self.detect_cc(
x['ho:Stat.refer'], x['ho:Offer.name'], x['ho:Country.name'],
x['ho:Stat.affiliate_info1'], x['ho:Stat.currency']),
axis=1)
data = mapper.map_to_ipg(
data,
id=data['ho:Stat.id'],
order_value=data['ho:Stat.sale_amount'],
commision=data['ho:Stat.payout'],
status=data['ho:Stat.status'],
cc=country,
timestamp=data.apply(
lambda x: parse.parse_datetime(x['ho:Stat.datetime']),
axis=1),
advertiser_info=data['ho:Stat.advertiser_info'],
order_id=data['ho:Stat.advertiser_info'],
currency=data['ho:Stat.currency'],
device=data.apply(lambda x: self.detect_device(
x['ho:Browser.display_name'], x[
'ho:ConversionsMobile.device_os'], x['ho:Offer.name']),
axis=1),
ip=data['ho:Stat.ip'],
user_agent=data['ho:Stat.user_agent'],
source=data['ho:Stat.source'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['ho:Stat.refer'],
merchant_name=data['ho:Offer.name']
if self.merchant_name is None else self.merchant_name,
merchant_id=''
if self.merchant_id is None else self.merchant_id + country)
return data
def get_transactions(self, start_date, end_date):
data = self.request(start_date, end_date)
if len(data) > 0:
data = mapper.map_to_ipg(
data,
id=data['omg:TransactionID'],
order_value=data.apply(
lambda x: x['omg:TransactionValue']
if pandas.notnull(x['omg:TransactionValue']) else 0,
axis=1),
commision=data['omg:SR'],
status=data.apply(
lambda x: self.detect_status(x['omg:Status']), axis=1),
cc=data.apply(lambda x: self.detect_cc(x['omg:Referrer'], x[
'omg:Merchant'], x['omg:Product'], x['omg:UID2']),
axis=1),
timestamp=data.apply(lambda x: parse.parse_datetime(
x['omg:TransactionTime'], '%d/%m/%Y %H:%M:%S'),
axis=1),
advertiser_info=data['omg:Merchant'],
order_id=data['omg:MerchantRef'],
currency=data.apply(lambda x: x['omg:Currency'].strip(),
axis=1),
device='',
ip='',
user_agent='',
source=data['omg:UID'],
affiliate_network=self.affiliate,
deal_type='CPS',
exit_url=data['omg:Referrer'],
merchant_name=data['omg:Merchant'],
merchant_id=data.apply(lambda x: "OM" + str(x['omg:MID']),
axis=1))
return data
