def analysis_campaign_horizontal(file_name):
"""
多个计划的 横向对比分析
"""
NICK = None
CAMPAIGN_LIST = []
NUMBER_DICT = {}
content = ''
for key in SOFT_LIST[1:]:
NUMBER_DICT[key] = Compare()
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if not NICK or campaign['nick'] == NICK:
if campaign['campaign'].find('省油宝长尾计划') != -1:
CAMPAIGN_LIST.insert(0, campaign)
else:
CAMPAIGN_LIST.append(campaign)
if not NICK:
NICK = campaign['nick']
else:
NICK = campaign['nick']
analysis(CAMPAIGN_LIST, NUMBER_DICT)
CAMPAIGN_LIST = []
content += '下面为相应指标好的个数\n'
for key in NUMBER_DICT:
_compare_result = NUMBER_DICT[key]
content += '省油宝长尾计划 与 ' + key + ': ' + str(_compare_result.total)
_result = _compare_result.result
content += '\n多天ROI: %d %d\n' % (_result[0][0], _result[0][2])
content += '多天成交额: %d %d\n' % (_result[1][0], _result[1][2])
content += '单天ROI: %d %d\n' % (_result[2][0], _result[2][2])
return content
def write_renew_report(file_name, nick_list):
"""收集nick_list的报表"""
print_keys = ['nick', 'campaign', 'multi_cost', 'multi_cpc', 'multi_roi', \
'multi_cvr', 'multi_ctr', 'count_days']
header_keys = ['店铺昵称', '计划名称', '多天花费', '多天cpc', '多天roi', '多天转化率',\
'多天点击率', '统计天数']
write_obj = file(CURRENT_DIR + 'data/renew_report.csv', 'w')
write_obj.write(','.join(header_keys) + '\n')
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['nick'] in nick_list:
report_str = []
for key in print_keys:
if key in ['multi_cost', 'multi_cpc']:
campaign[key] /= 100.0
elif key in ['multi_cvr', 'multi_ctr', 'multi_roi']:
campaign[key] = '%.3f' % campaign[key]
report_str.append(str(campaign[key]))
write_obj.write(','.join(report_str) + '\n')
write_obj.close()
def write_renew_report(file_name, nick_list):
"""收集nick_list的报表"""
print_keys = ['nick', 'campaign', 'multi_cost', 'multi_cpc', 'multi_roi', \
'multi_cvr', 'multi_ctr', 'count_days']
header_keys = ['店铺昵称', '计划名称', '多天花费', '多天cpc', '多天roi', '多天转化率',\
'多天点击率', '统计天数']
write_obj = file(CURRENT_DIR+'data/renew_report.csv', 'w')
write_obj.write(','.join(header_keys)+'\n')
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['nick'] in nick_list:
report_str = []
for key in print_keys:
if key in ['multi_cost', 'multi_cpc']:
campaign[key] /= 100.0
elif key in ['multi_cvr', 'multi_ctr', 'multi_roi']:
campaign[key] = '%.3f' % campaign[key]
report_str.append(str(campaign[key]))
write_obj.write(','.join(report_str)+'\n')
write_obj.close()
def analysis_campaign_simple(file_name):
"""
get simple report
"""
soft_list = ['省油宝长尾计划', '省油宝加力计划', '广撒网计划', '喜宝计划', '极品飞车', '懒人开车', '疯狂车手', '大麦']
soft_statistics_dict = {}
for key in soft_list:
soft_statistics_dict[key] = Statistics()
for line in file(file_name):
report = Report.parser_report(line)
if not report:
continue
for campaign_name in soft_list:
if report['campaign'].find(campaign_name) != -1:
soft_statistics_dict[campaign_name].statistics(report)
content = ''
for key in soft_list:
result = soft_statistics_dict[key]
content += key + '\n'
content += '有效数(多天花费不为0)：%d, 多天花费为0数：%d\n' % (result.count, result.unnormal_count)
content += '昨天 有效用户的平均花费：%.1f, 平均成交额：%.1f, 平均ROI：%.1f, 平均CPC：%.1f\n' % \
(result.sum_cost / result.count, result.sum_pay / result.count, \
result.sum_pay / result.sum_cost, result.sum_cost / result.sum_click)
content += '昨天 有效用户中ROI为0数：%d, 占比：%.2f\n' % (result.low_roi_count, \
result.low_roi_count / (result.count + 0.001))
content += '多天 有效用户的平均花费：%.1f, 平均成交额：%.1f\n' % \
(result.sum_multi_cost / result.count, result.sum_multi_pay / result.count)
content += '多天 有效用户的日均花费：%.1f, 日均成交额：%.1f, 日均ROI：%.1f\n\n' % \
(result.sum_day_cost / result.count, result.sum_day_pay / result.count, \
result.sum_day_pay / result.sum_day_cost)
return content
def analysis_campaign_horizontal(file_name):
"""
多个计划的 横向对比分析
"""
NICK = None
CAMPAIGN_LIST = []
NUMBER_DICT = {}
content = ''
for key in SOFT_LIST[1:]:
NUMBER_DICT[key] = Compare()
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if not NICK or campaign['nick'] == NICK:
if campaign['campaign'].find('省油宝长尾计划') != -1:
CAMPAIGN_LIST.insert(0, campaign)
else:
CAMPAIGN_LIST.append(campaign)
if not NICK:
NICK = campaign['nick']
else:
NICK = campaign['nick']
analysis(CAMPAIGN_LIST, NUMBER_DICT)
CAMPAIGN_LIST = []
content += '下面为相应指标好的个数\n'
for key in NUMBER_DICT:
_compare_result = NUMBER_DICT[key]
content += '省油宝长尾计划 与 ' + key + ': ' + str(_compare_result.total)
_result = _compare_result.result
content += '\n多天ROI: %d %d\n' % (_result[0][0], _result[0][2])
content += '多天成交额: %d %d\n' % (_result[1][0], _result[1][2])
content += '单天ROI: %d %d\n' % (_result[2][0], _result[2][2])
return content
def write_report(self):
"""将报表写到文件里"""
file_obj = file(CURRENT_DIR+'data/report_data/bd_report'+str(self.today)+'.csv', 'w')
for report in self.report_list:
if report:
file_obj.write(Report.to_string(report))
file_obj.close()
def write_report(self):
"""将报表写到文件里"""
file_obj = file(
CURRENT_DIR + 'data/report_data/bd_report' + str(self.today) +
'.csv', 'w')
for report in self.report_list:
if report:
file_obj.write(Report.to_string(report))
file_obj.close()
def collect_all_shop(file_name, campaign_name):
"""收集所有店铺"""
campaign_list = []
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['campaign'] == '账户整体情况':
shop = campaign
continue
if campaign['campaign'].find(campaign_name) != -1:
if campaign['nick'] != shop['nick']:
print '出现不一致:',shop['nick']
Report.add_shop(campaign, shop)
#排除非正常 数据
if campaign['count_days'] <= 0:
continue
if campaign['multi_cost'] > campaign['shop_multi_cost'] or \
campaign['multi_pay'] > campaign['shop_multi_pay']:
continue
campaign_list.append(campaign)
return campaign_list
def collect_all_shop(file_name, campaign_name):
"""收集所有店铺"""
campaign_list = []
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['campaign'] == '账户整体情况':
shop = campaign
continue
if campaign['campaign'].find(campaign_name) != -1:
if campaign['nick'] != shop['nick']:
print '出现不一致:', shop['nick']
Report.add_shop(campaign, shop)
#排除非正常 数据
if campaign['count_days'] <= 0:
continue
if campaign['multi_cost'] > campaign['shop_multi_cost'] or \
campaign['multi_pay'] > campaign['shop_multi_pay']:
continue
campaign_list.append(campaign)
return campaign_list
def analysis_campaign_simple(file_name):
"""
get simple report
"""
soft_list = ['广撒网计划', '喜宝计划', '极品飞车', '懒人开车', '疯狂车手', '大麦']
soft_statistics_dict = {}
for key in soft_list:
soft_statistics_dict[key] = Statistics()
for line in file(file_name):
report = Report.parser_report(line)
if not report:
continue
for campaign_name in soft_list:
if report['campaign'].find(campaign_name) != -1:
soft_statistics_dict[campaign_name].statistics(report)
content = ''
for key in soft_list:
result = soft_statistics_dict[key]
if result.count <= 0:
continue
content += key + '如下所有指标都是针对计划的\n'
content += '有效数(多天花费不为0)：%d, 无效数(多天花费为0数)：%d\n' % (
result.count, result.unnormal_count)
content += '有效用户的昨日 平均花费：%.1f, 平均成交额：%.1f, 平均ROI：%.1f, 平均CPC：%.1f\n' % \
(result.sum_cost / result.count, result.sum_pay / result.count, \
result.sum_pay / result.sum_cost, result.sum_cost / result.sum_click)
content += '有效用户中昨日 ROI为0数：%d, 占比：%.2f\n' % (result.low_roi_count, \
float(result.low_roi_count) / result.count)
content += '有效用户多天花费的平均值：%.1f, 多天成交额平均值：%.1f\n' % \
(result.sum_multi_cost / result.count, result.sum_multi_pay / result.count)
content += '有效用户的日均花费的平均值：%.1f, 日均成交额的平均值：%.1f, 日均ROI：%.1f\n\n' % \
(result.sum_day_cost / result.count, result.sum_day_pay / result.count, \
result.sum_day_pay / result.sum_day_cost)
return content
def analysis_campaign_complex(file_name, campaign_name):
"""详细分析 某个计划"""
campaign_list = []
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['campaign'] == '账户整体情况':
shop = campaign
continue
if campaign['campaign'].find(campaign_name) != -1:
if campaign['nick'] != shop['nick']:
print '出现不一致:', shop['nick']
Report.add_shop(campaign, shop)
#排除非正常 数据
if campaign['count_days'] <= 0:
continue
if campaign['multi_cost'] > campaign['shop_multi_cost'] or \
campaign['multi_pay'] > campaign['shop_multi_pay']:
continue
campaign_list.append(campaign)
zero_cost = 0
multi_roi_zero = 0
multi_roi_unzero = 0
multi_roi_bigger_2 = 0
sum_key_dict = {}
main_keys = []
daily_keys = [
'multi_pv', 'multi_click', 'multi_cost', 'multi_pay', 'multi_pay_count'
]
for key in MAIN_KEYS:
main_keys.append(key)
main_keys.append('shop_' + key)
main_keys.extend(['multi_cost_percent', 'multi_pay_percent'])
for key in main_keys:
sum_key_dict[key] = 0
for key in daily_keys:
sum_key_dict['daily_' + key] = 0
multi_cost_percent_bigger_9 = 0
multi_cost_percent_bigger_5 = 0
for campaign in campaign_list:
if campaign['multi_cost'] <= 0:
zero_cost += 1
continue
for key in main_keys:
sum_key_dict[key] += campaign[key]
for key in daily_keys:
sum_key_dict['daily_' +
key] += campaign[key] / campaign['count_days']
if campaign['multi_cost_percent'] >= 0.9:
multi_cost_percent_bigger_9 += 1
if campaign['multi_cost_percent'] >= 0.5:
multi_cost_percent_bigger_5 += 1
if campaign['multi_roi'] <= 0:
multi_roi_zero += 1
else:
multi_roi_unzero += 1
if campaign['multi_roi'] >= 2:
multi_roi_bigger_2 += 1
unzero_cost = len(campaign_list) - zero_cost
content = campaign_name + '的分析\n'
content += '用户数：%d, 花费为0数：%d，花费不为0数：%d, 如下统计针对多天花费不为0的用户\n' % (
len(campaign_list), zero_cost, unzero_cost)
content += '单天报表分析:\n'
content += '昨日 平均花费：%.1f, 平均成交额：%.1f, 平均ROI：%.1f, 平均CPC：%.1f\n' % (\
sum_key_dict['cost'] / unzero_cost / 100, sum_key_dict['pay'] / unzero_cost / 100, \
sum_key_dict['pay'] / sum_key_dict['cost'], sum_key_dict['cost'] / sum_key_dict['click'] / 100)
content += '昨日 平均展现：%d, 平均点击：%d, 平均点击率：%.3f, 平均转化率：%.3f\n' % (\
sum_key_dict['pv'] / unzero_cost, sum_key_dict['click'] / unzero_cost, \
sum_key_dict['click'] / (sum_key_dict['pv']+0.01), \
sum_key_dict['pay_count'] / (sum_key_dict['click']+0.01))
content += '多天报表分析:\n'
content += '日均花费：%.1f, 日均成交额：%.1f, 日均ROI：%.1f, 日均CPC：%.1f\n' % (\
sum_key_dict['daily_multi_cost'] / unzero_cost / 100, \
sum_key_dict['daily_multi_pay'] / unzero_cost / 100, \
sum_key_dict['daily_multi_pay'] / sum_key_dict['daily_multi_cost'],\
sum_key_dict['daily_multi_cost'] / sum_key_dict['daily_multi_click'] / 100)
content += '日均展现：%d, 日均点击：%d, 日均点击率：%.3f, 日均转化率：%.3f\n' % (\
sum_key_dict['daily_multi_pv'] / unzero_cost, \
sum_key_dict['daily_multi_click'] / unzero_cost, \
sum_key_dict['daily_multi_click'] / (sum_key_dict['daily_multi_pv']+0.01),\
sum_key_dict['daily_multi_pay_count'] / (sum_key_dict['daily_multi_click']+0.01))
content += '多天ROI大于0数：%d,占比：%.1f，多天ROI大于2数：%d，占比：%.1f\n' %(multi_roi_unzero,\
float(multi_roi_unzero) / unzero_cost, multi_roi_bigger_2, float(multi_roi_bigger_2) / unzero_cost)
content += '其中该计划多天花费占全店花费比 不小于0.9的 比例：%.2f, 不小于0.5的 比例：%.2f\n' % (\
float(multi_cost_percent_bigger_9)/unzero_cost , float(multi_cost_percent_bigger_5)/unzero_cost)
content += '所有计划多天花费占所有全店多天 花费的比例：%.2f,所有计划多天成交占所有全店多天成交的比例：%.2f\n\n' % (
sum_key_dict['multi_cost'] / sum_key_dict['shop_multi_cost'],
sum_key_dict['multi_pay'] / sum_key_dict['shop_multi_pay'])
return content
class CollectReport:
def __init__(self, date):
self.today = date
header = u'账户,计划,当天ROI,当天花费,成交额,当天点击,平均点击花费,成交笔数,收藏,当天转化率,多天ROI,多天花费,多天成交额,多天收藏,天数,店铺id\n'
self.header = header.encode('utf-8')
self.shop_list = self.get_shop_list()
self.report_list = []
def get_shop_list(self):
"""此方法必须被继承
shop 信息 应包含 sid nick access_token subway_token 特殊计划id 等"""
return []
def _load_syb_user(self):
syb_user = {}
file_data = file(
'/home/zhoujiebing/SYB/Webpage/longtail/report/data/syb_user.csv'
).read().split('\n')
for line in file_data:
order = line.split(',')
if len(order) < 2:
continue
nick = order[0]
order_start = parser_string_to_date(order[1])
days_delta = (self.today - order_start).days
if days_delta > 1:
syb_user[nick] = min(days_delta, 15)
#提前续订的
elif days_delta < 0:
syb_user[nick] = 15
return syb_user
def collect_report(self):
"""搜集报表数据"""
start_date = self.today - datetime.timedelta(days=1)
end_date = start_date
logger.info('start collect report')
for shop in self.shop_list:
logger.info('正在抓取帐号 %s 的报表信息' % shop['nick'])
try:
shop_report = RptSumSearchService.cust_rpt_sum_search(shop['nick'], shop['sid'], start_date, end_date,\
{'base':True, 'effect':True}, True, shop)
multi_shop_report = RptSumSearchService.cust_rpt_sum_search(shop['nick'], shop['sid'], \
end_date - datetime.timedelta(days=shop['days']), end_date,\
{'base':True, 'effect':True}, True, shop)
#目前使用API获取,以后可以改用使用db
campaigns = SimbaCampaignsGet.get_campaign_list(
shop['access_token'], shop['nick'])
campaigns_id = []
campaigns_dict = {}
for campaign in campaigns:
campaign = campaign.toDict()
campaigns_id.append(campaign['campaign_id'])
campaigns_dict[campaign['campaign_id']] = campaign
campaigns_report = RptSumSearchService.camp_rpt_sum_search(campaigns_id, shop['nick'], \
shop['sid'], start_date, end_date, {'base':True, 'effect':True}, True, shop)
multi_campaigns_report = RptSumSearchService.camp_rpt_sum_search(campaigns_id, shop['nick'], \
shop['sid'], end_date - datetime.timedelta(days=shop['days']), end_date, \
{'base':True, 'effect':True}, True, shop)
except InvalidAccessTokenException, e:
logger.error('%s : InvalidAccessTokenException' %
(shop['nick']))
continue
except Exception, e:
continue
self.report_list.append(
Report.merge_report(shop_report[0], multi_shop_report[0],
shop))
for i in range(len(campaigns_id)):
if campaigns_report[i]['campaignid'] != multi_campaigns_report[
i]['campaignid']:
logger.info('%s 出现单体计划报表与多天计划报表不一致' % shop['nick'])
self.report_list.append(
Report.merge_report(
campaigns_report[i], multi_campaigns_report[i], shop,
campaigns_dict[campaigns_report[i]['campaignid']]))
def analysis_campaign_complex(file_name, campaign_name):
"""详细分析 某个计划"""
campaign_list = []
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['campaign'] == '账户整体情况':
shop = campaign
continue
if campaign['campaign'].find(campaign_name) != -1:
if campaign['nick'] != shop['nick']:
print '出现不一致:',shop['nick']
Report.add_shop(campaign, shop)
campaign_list.append(campaign)
zero_cost = 0
multi_roi_zero = 0
multi_roi_unzero = 0
multi_roi_bigger_2 = 0
sum_multi_roi = 0
sum_multi_pay = 0
sum_shop_multi_pay = 0
sum_multi_cost = 0
sum_shop_multi_cost = 0
sum_multi_cost_percent = 0
sum_multi_pay_percent = 0
multi_cost_percent_bigger_9 = 0
multi_cost_percent_bigger_5 = 0
for syb in campaign_list:
if syb['multi_cost'] <= 0:
zero_cost += 1
continue
sum_multi_cost += syb['multi_cost']
sum_shop_multi_cost += syb['shop_multi_cost']
sum_multi_pay += syb['multi_pay']
sum_shop_multi_pay += syb['shop_multi_pay']
sum_multi_cost_percent += syb['multi_cost_percent']
sum_multi_pay_percent += syb['multi_pay_percent']
if syb['multi_cost_percent'] >= 0.9:
multi_cost_percent_bigger_9 += 1
if syb['multi_cost_percent'] >= 0.5:
multi_cost_percent_bigger_5 += 1
if syb['multi_roi'] <= 0:
multi_roi_zero += 1
else:
multi_roi_unzero += 1
sum_multi_roi += syb['multi_roi']
if syb['multi_roi'] >= 2:
multi_roi_bigger_2 += 1
unzero_cost = len(campaign_list) - zero_cost
content = campaign_name + '的简单分析'
content += '用户数：%d,花费为0数：%d，花费不为0数：%d\n' % (len(campaign_list), zero_cost, unzero_cost)
content += '多天ROI大于0数：%d,占比：%.1f，多天ROI大于2数：%d，占比：%.1f\n' %(multi_roi_unzero,\
float(multi_roi_unzero) / unzero_cost, multi_roi_bigger_2, float(multi_roi_bigger_2) / unzero_cost)
content += '花费不为0的用户中\n'
content += '多天花费占全店多天花费比例 的平均值：%.2f,多天成交占全店多天成交比例的平均值：%.2f\n' %(sum_multi_cost_percent / unzero_cost, sum_multi_pay_percent / unzero_cost)
content += '其中多天花费占比 不小于0.9的 比例：%.2f, 不小于0.5的 比例：%.2f\n' % (\
float(multi_cost_percent_bigger_9)/unzero_cost , float(multi_cost_percent_bigger_5)/unzero_cost)
content += '所有多天花费占所有全店多天花费的比例：%.2f,所有多天成交占所有全店多天成交的比例：%.2f\n' %(sum_multi_cost / sum_shop_multi_cost, sum_multi_pay / sum_shop_multi_pay)
#content += '多天ROI大于0的用户的平均多天ROI：%.1f\n' % (sum_multi_roi / multi_roi_unzero)
return content
def analysis_campaign_complex(file_name, campaign_name):
"""详细分析 某个计划"""
campaign_list = []
for line in file(file_name):
campaign = Report.parser_report(line)
if not campaign:
continue
if campaign['campaign'] == '账户整体情况':
shop = campaign
continue
if campaign['campaign'].find(campaign_name) != -1:
if campaign['nick'] != shop['nick']:
print '出现不一致:',shop['nick']
Report.add_shop(campaign, shop)
#排除非正常 数据
if campaign['count_days'] <= 0:
continue
if campaign['multi_cost'] > campaign['shop_multi_cost'] or \
campaign['multi_pay'] > campaign['shop_multi_pay']:
continue
campaign_list.append(campaign)
zero_cost = 0
multi_roi_zero = 0
multi_roi_unzero = 0
multi_roi_bigger_2 = 0
sum_key_dict = {}
main_keys = []
daily_keys = ['multi_pv', 'multi_click', 'multi_cost', 'multi_pay', 'multi_pay_count']
for key in MAIN_KEYS:
main_keys.append(key)
main_keys.append('shop_'+key)
main_keys.extend(['multi_cost_percent', 'multi_pay_percent'])
for key in main_keys:
sum_key_dict[key] = 0
for key in daily_keys:
sum_key_dict['daily_'+key] = 0
multi_cost_percent_bigger_9 = 0
multi_cost_percent_bigger_5 = 0
for campaign in campaign_list:
if campaign['multi_cost'] <= 0:
zero_cost += 1
continue
for key in main_keys:
sum_key_dict[key] += campaign[key]
for key in daily_keys:
sum_key_dict['daily_'+key] += campaign[key] / campaign['count_days']
if campaign['multi_cost_percent'] >= 0.9:
multi_cost_percent_bigger_9 += 1
if campaign['multi_cost_percent'] >= 0.5:
multi_cost_percent_bigger_5 += 1
if campaign['multi_roi'] <= 0:
multi_roi_zero += 1
else:
multi_roi_unzero += 1
if campaign['multi_roi'] >= 2:
multi_roi_bigger_2 += 1
unzero_cost = len(campaign_list) - zero_cost
content = campaign_name + '的分析\n'
content += '用户数：%d, 花费为0数：%d，花费不为0数：%d, 如下统计针对多天花费不为0的用户\n' % (len(campaign_list), zero_cost, unzero_cost)
content += '单天报表分析:\n'
content += '昨日 平均花费：%.1f, 平均成交额：%.1f, 平均ROI：%.1f, 平均CPC：%.1f\n' % (\
sum_key_dict['cost'] / unzero_cost / 100, sum_key_dict['pay'] / unzero_cost / 100, \
sum_key_dict['pay'] / sum_key_dict['cost'], sum_key_dict['cost'] / sum_key_dict['click'] / 100)
content += '昨日 平均展现：%d, 平均点击：%d, 平均点击率：%.3f, 平均转化率：%.3f\n' % (\
sum_key_dict['pv'] / unzero_cost, sum_key_dict['click'] / unzero_cost, \
sum_key_dict['click'] / (sum_key_dict['pv']+0.01), \
sum_key_dict['pay_count'] / (sum_key_dict['click']+0.01))
content += '多天报表分析:\n'
content += '日均花费：%.1f, 日均成交额：%.1f, 日均ROI：%.1f, 日均CPC：%.1f\n' % (\
sum_key_dict['daily_multi_cost'] / unzero_cost / 100, \
sum_key_dict['daily_multi_pay'] / unzero_cost / 100, \
sum_key_dict['daily_multi_pay'] / sum_key_dict['daily_multi_cost'],\
sum_key_dict['daily_multi_cost'] / sum_key_dict['daily_multi_click'] / 100)
content += '日均展现：%d, 日均点击：%d, 日均点击率：%.3f, 日均转化率：%.3f\n' % (\
sum_key_dict['daily_multi_pv'] / unzero_cost, \
sum_key_dict['daily_multi_click'] / unzero_cost, \
sum_key_dict['daily_multi_click'] / (sum_key_dict['daily_multi_pv']+0.01),\
sum_key_dict['daily_multi_pay_count'] / (sum_key_dict['daily_multi_click']+0.01))
content += '多天ROI大于0数：%d,占比：%.1f，多天ROI大于2数：%d，占比：%.1f\n' %(multi_roi_unzero,\
float(multi_roi_unzero) / unzero_cost, multi_roi_bigger_2, float(multi_roi_bigger_2) / unzero_cost)
content += '其中该计划多天花费占全店花费比 不小于0.9的 比例：%.2f, 不小于0.5的 比例：%.2f\n' % (\
float(multi_cost_percent_bigger_9)/unzero_cost , float(multi_cost_percent_bigger_5)/unzero_cost)
content += '所有计划多天花费占所有全店多天 花费的比例：%.2f,所有计划多天成交占所有全店多天成交的比例：%.2f\n\n' %(sum_key_dict['multi_cost'] / sum_key_dict['shop_multi_cost'], sum_key_dict['multi_pay'] / sum_key_dict['shop_multi_pay'])
return content
