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Ex.py
from extract.ex_ly_sku import ExLySku
from utils.msg_handler import MsgHandler
import traceback
from extract.ex_sku_expose import ExSkuExpose
from extract.ex_ickey import ExIckey
from extract.ex_base import Base
from load.load_hbase import LoadHbase
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from pipeline.pi_goods import PiGoods
from pipeline.pi_erp import PiErp
from config.conn_list import ConnList
import sys
......@@ -11,15 +18,59 @@ if __name__ == '__main__':
del_sku: 删除MongoDB里的原始数据
"""
if len(sys.argv) > 1:
# sku价格采集
if sys.argv[1] == 'ex_sku':
try:
ExLySku.ex_sku()
except:
MsgHandler.send_dd_msg("【联营SKU价格采集任务】 失败\n" +
"失败信息：" + str(traceback.print_exc()))
ExLySku.ex_sku()
elif sys.argv[1] == 'del_sku':
try:
ExLySku.del_sku()
except:
MsgHandler.send_dd_msg("【Mongo数据删除任务】 失败\n" +
"失败信息：" + str(traceback.print_exc()))
ExLySku.del_sku()
elif sys.argv[1] == 'put_hdfs':
ExLySku.put_hdfs()
elif sys.argv[1] == 'load_hbase':
ExLySku.load_hbase()
elif sys.argv[1] == 'del_hdfs':
ExLySku.del_hdfs()
# sku曝光
elif sys.argv[1] == 'sku_expose_collect':
ExSkuExpose.collect_rq()
elif sys.argv[1] == 'merge_file':
ExSkuExpose.merge_file()
# ickey自营采集
elif sys.argv[1] == 'ickey_zy':
ickey = ExIckey('ickey')
ickey.ex_ickey_goods()
# 云汉指数
elif sys.argv[1] == 'ickey_index':
ickey = ExIckey('ickey')
# 采集
ickey.ex_ickey_index()
# 上传数据
local_file = '/data3/hdfs_data/ickey_index/' + 'ickey_' + \
DateHandler.now_date(days=0, d_type=2) + '.txt'
hdfs_file = '/ickey_index/ickey_' + DateHandler.now_date(days=0, d_type=2) + '.txt'
DBHandler.hdfs_upload('/ickey_index/', local_file)
Base.rm_local_file(local_file)
# HDFS数据写入HBASE
row = "%s,%s,%s,%s,%s,%s" % ("cf1:searchTrendAnalysis", "cf1:searchAreaTrendAnalysis",
"cf1:industryType", "cf1:search_num", "cf1:trade_num", "cf1:buyer_num")
msg = '【云汉指数采集】写入HBASE完成'
LoadHbase.cmd_load(row, "sku:ickey_index", hdfs_file, msg, '|')
# 云汉指数备货
elif sys.argv[1] == 'ickey_stock_find':
PiGoods.pipeline_zy_stock()
# ERP获取客户订单
elif sys.argv[1] == 'erp_company':
PiErp().pipeline_erp_company(ConnList.Credit(), ConnList.CreditSource())
# ERP客户订单info
elif sys.argv[1] == 'erp_info':
PiErp().pipeline_erp_info()
# ERP客户订单month
elif sys.argv[1] == 'erp_month':
PiErp().pipeline_erp_month(False, "WHERE is_credit = 1 ORDER BY business_time", "lie_basic_month", ConnList.Credit(), ConnList.CreditSource())
PiErp().pipeline_erp_weight("lie_basic_month", ConnList.Credit())
# ERP客户订单容差month
elif sys.argv[1] == 'erp_month_tolerance':
PiErp().pipeline_erp_month(True, "WHERE is_credit = 1 ORDER BY business_time", "lie_basic_month_tolerance", ConnList.CreditLx(), ConnList.CreditSource())
PiErp().pipeline_erp_weight("lie_basic_month_tolerance", ConnList.CreditLx())
# ERP更新CMP_CODE
elif sys.argv[1] == 'erp_code':
PiErp().pipeline_erp_CmpCode()
Hbase.py 0 → 100644
import happybase
conn = happybase.Connection("localhost", 9090)
print(conn.tables())
SendEmail.py 0 → 100644
from pipeline.pi_purchase import PiPurchase
from pipeline.pi_email import PiEmail
from pipeline.pi_search import PiSearch
from pipeline.pi_goods import PiGoods
from pipeline.pi_daily import PiDaily
from extract.ex_sku_expose import ExSkuExpose
import sys
# 邮件发送，参数自定
if __name__ == '__main__':
"""
zm_down: 每日专卖下架量
safe_stock: 库存预警
search_no_r: 搜索无结果
sku_expose: 搜索曝光
operate_daily: 运营日报
"""
try:
if len(sys.argv) > 1:
if sys.argv[1] == 'core_daily': # 核心日报
PiDaily.pipeline_core_daily()
if sys.argv[1] == 'zm_down':
PiEmail.pipeline_zm_down()
if sys.argv[1] == 'zm_warn':
PiGoods.pipeline_zm_warn()
if sys.argv[1] == 'safe_stock':
PiPurchase.pipeline_safe_stock()
if sys.argv[1] == 'search_no_r':
PiSearch.search_no_result()
if sys.argv[1] == 'sku_expose':
# 获取HDFS数据
hdfs_data = ExSkuExpose.get_hdfs_data()
# 计算曝光汇总
ExSkuExpose.cal_sku_expose(hdfs_data)
# ExSkuExpose.cal_sku_expose_detail(hdfs_data)
# 立创曝光
ExSkuExpose.cal_lc_expose(hdfs_data)
if sys.argv[1] == 'zyly_match':
PiGoods.pipeline_zylxly_goods()
if sys.argv[1] == 'operate_daily':
PiDaily.pipeline_operate_daily()
if sys.argv[1] == 'operate_weekly':
PiDaily.pipeline_operate_weekly()
except:
pass
Test.py
from pipeline.pi_order import PiOrder
from pipeline.pi_user import PiUser
from pipeline.pi_rank import PiRank
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from utils.excel_handler import ExcelHandler
from extract.ex_erp import ExERP
from pipeline.pi_rank import PiRank
from pipeline.pi_erp import PiErp
from pipeline.pi_lx_log import PiLxLog
import math
import requests
import time
import json
from translate.ts_erp import TsERP
from pipeline.pi_weekly import PiWeekly
def main():
def test():
PiOrder.pipeline_order_items()
rd = []
db = ConnList.CreditSource()
# pi_user = PiUser('用户流')
# pi_user.pipeline_user_without_login()
pass
sql = "SELECT erp_company_code,poolfund_no,poolfund_source_no,entru_no,order_amount,business_time,\
deadline_day,receive_time,return_amount,return_time,is_settle,delay_day,delay_amount,\
is_credit,gross_profit,poolfund_type,source_type\
FROM lie_basic_detail"
result = DBHandler.read(db, sql)
for row in result:
rd.append({
'company': row[0],
'poolfund_no': row[1],
'poolfund_source_no': row[2],
'entru_no': row[3],
'order_amount': row[4],
'business_time': DateHandler.unix_to_date(row[5], fmt="%Y-%m-%d"),
'deadline_day': row[6],
'receive_time': DateHandler.unix_to_date(row[7], fmt="%Y-%m-%d"),
'return_amount': row[8],
'return_time': DateHandler.unix_to_date(row[9], fmt="%Y-%m-%d"),
'is_settle': '是' if row[10] == 1 else '否',
'delay_day': row[11],
'delay_amount': row[12],
'is_credit': '有' if row[13] == 1 else '无',
'gross_profit': row[14],
'poolfund_type': row[15],
'source_type': '供应链' if row[16] == 1 else '科技'
})
# Excel标题
title = ['公司', '资金池编号', '资金池来源编码', '入仓号', '下单金额', '业务时间', '订单期限(账期天数)', '应收日期（业务日期+期限）', '回款金额', '回款日期', '是否结清',
'逾期支付天数', '逾期支付金额', '信用', '毛利', '资金池类型', '来源']
# Excel内容
content = ['company', 'poolfund_no', 'poolfund_source_no', 'entru_no', 'order_amount', 'business_time',
'deadline_day', 'receive_time',
'return_amount', 'return_time',
'is_settle', 'delay_day', 'delay_amount',
'is_credit', 'gross_profit', 'poolfund_type', 'source_type']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
if __name__ == '__main__':
main()
test()
activity/mouser/ac_20190122.py 0 → 100644
from extract.ex_order import ExOrder
from translate.ts_order import TsOrder
def ac_cal():
# 时间
# start_0114 = 1547395200
start_0125 = 1548432000
# start_1217 = 1544976000
# start_1228 = 1546012800
start_0101 = 1546272000
verical_id = 5
arror_id = 10
# 汇总
verical = {'start_time': start_0101, 'end_time': start_0125,
'condition': ['i.supplier_id = ' + str(verical_id),
'o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'']}
arror = {'start_time': start_0101, 'end_time': start_0125,
'condition': ['i.supplier_id = ' + str(arror_id),
'o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'']}
ex_order = ExOrder('order detail')
ts_verical = TsOrder('ts', ex_order.order_items(verical)).trans_order_view(6.78)
ts_paid_verical = TsOrder('ts', ex_order.order_paid_items(verical)).trans_order_view(6.78)
ts_arror = TsOrder('ts', ex_order.order_items(arror)).trans_order_view(6.78)
ts_paid_arror = TsOrder('ts', ex_order.order_paid_items(arror)).trans_order_view(6.78)
print('-------------------------------------------')
print('Verical')
print('下单人数：', len(ts_verical['user']), '下单金额：', ts_verical['amount'])
print('付款人数：', len(ts_paid_verical['user']), '付款金额：', ts_paid_verical['amount'])
print('Arror')
print('下单人数：', len(ts_arror['user']), '下单金额：', ts_arror['amount'])
print('付款人数：', len(ts_paid_arror['user']), '付款金额：', ts_paid_arror['amount'])
print('汇总')
print('下单人数：', len(list(set(ts_verical['user'] + ts_arror['user']))),
'下单金额：', ts_verical['amount'] + ts_arror['amount'])
print('付款人数：', len(list(set(ts_paid_verical['user'] + ts_paid_arror['user']))),
'付款金额：', ts_paid_verical['amount'] + ts_paid_arror['amount'])
# 区分渠道汇总
sum_canal = {'start_time': start_0101, 'end_time': start_0125,
'condition': ['i.supplier_id in (5, 10)',
'o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'']}
ts_sum_canal = TsOrder('', ex_order.order_items(sum_canal)).trans_order_tag(6.78)
ts_sum_paid_canal = TsOrder('', ex_order.order_paid_items(sum_canal)).trans_order_tag(6.78)
sem = ts_sum_canal['sem']
sem_paid = ts_sum_paid_canal['sem']
wx = ts_sum_canal['wx']
wx_paid = ts_sum_paid_canal['wx']
wechat = ts_sum_canal['wechat']
wechat_paid = ts_sum_paid_canal['wechat']
qq = ts_sum_canal['qq']
qq_paid = ts_sum_paid_canal['qq']
print('-------------------------------------------')
print('SEM')
print('下单人数：', len(sem['user']), '下单金额：', sem['amount'],
'付款人数：', len(sem_paid['user']), '付款金额', sem_paid['amount'])
print('微信')
print('下单人数：', len(wx['user']), '下单金额：', wx['amount'],
'付款人数：', len(wx_paid['user']), '付款金额', wx_paid['amount'])
print('微信公众号')
print('下单人数：', len(wechat['user']), '下单金额：', wechat['amount'],
'付款人数：', len(wechat_paid['user']), '付款金额', wechat_paid['amount'])
print('QQ')
print('下单人数：', len(qq['user']), '下单金额：', qq['amount'],
'付款人数：', len(qq_paid['user']), '付款金额', qq_paid['amount'])
# 新老用户区分
print('-------------------------------------------')
ts_user_type = TsOrder('', ex_order.order_items(sum_canal)).trans_user_type(6.78, start_0101)
ts_user_paid_type = TsOrder('', ex_order.order_paid_items(sum_canal)).trans_user_type(6.78, start_0101)
print(ts_user_type)
print(ts_user_paid_type)
# 数据Excel
# TsOrder('', ex_order.order_paid_items(sum_canal)).trans_order_people(6.78)
bom.py 0 → 100644
from sklearn import model_selection, preprocessing, linear_model, naive_bayes, metrics, svm
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn import decomposition, ensemble
from sklearn.externals import joblib
from config.conn_list import ConnList
import pandas as pd
import numpy as np
import pymysql
db = ConnList.Dashboard()
model = joblib.load("train_model.m")
tfidf_vect_ngram_chars = joblib.load("tfidf_vect_ngram_chars.m")
test = pd.Series(["0402"])
test_tfidf_ngram_chars = tfidf_vect_ngram_chars.transform(test)
# 读DB
def read(db, sql):
results = {}
cursor = db.cursor()
try:
cursor.execute(sql)
results = cursor.fetchall()
except:
db.rollback()
return results
# 判断是否索引列
def verify_index(data):
# 分值
point = 0
max_num = 0
total = len(data)
# 遍历数据
try:
for i in data:
# 判断是否正整数
if str(int(i)).isdigit() and int(i) >= 0:
# 递增且递增差值小于100
if (i > max_num) and (max_num - i <= 10):
max_num = i
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断是否数量列
def verify_number(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
for i in data:
# 判断是否正整数
if str(int(i)).isdigit():
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断分类
def verify_classify(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
for i in data:
# 判断分类
sql = "SELECT 1 FROM lie_bom_class_name WHERE class_name like '%%%s%%'" % i
result = read(db,sql)
if len(result) > 0:
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断品牌
def verify_brand(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
for i in data:
brand_name = str(i).split('(')[0].upper()
# 判断分类
sql = "SELECT 1 FROM lie_bom_brand_name WHERE brand_name like '%%%s%%'" % i
result = read(db,sql)
if len(result) > 0:
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断参数
def verify_param(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
test = pd.Series(data)
test_tfidf_ngram_chars = tfidf_vect_ngram_chars.transform(test)
predictions = model.predict(test_tfidf_ngram_chars)
predictions
for pre in predictions:
if pre == 'param':
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断型号
def verify_goods_name(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
test = pd.Series(data)
test_tfidf_ngram_chars = tfidf_vect_ngram_chars.transform(test)
predictions = model.predict(test_tfidf_ngram_chars)
predictions
for pre in predictions:
if pre == 'goods_name':
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
# 判断封装
def verify_encap(data):
# 分值
point = 0
total = len(data)
# 遍历数据
try:
test = pd.Series(data)
test_tfidf_ngram_chars = tfidf_vect_ngram_chars.transform(test)
predictions = model.predict(test_tfidf_ngram_chars)
predictions
for pre in predictions:
if pre == 'encap':
point += 1
except:
pass
# 判断该列是否为索引，占比6成以上即认定为True
if (point / total) >= 0.6:
return True
else:
return False
def main():
test = pd.read_excel('BOM选型标准模板_ICkey2.xlsx')
test.dropna()
test.fillna('NA')
columns = list(test.columns)
for col in columns:
test[col] = test[col].fillna('NA')
col_index = {'索引': -1, '数量': -1, '分类': -1, '品牌': -1, '参数': -1, '型号': -1, '封装': -1}
col_list = []
# 索引列
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_index(test[col]):
col_index['索引'] = i
col_list.append(i)
break
# 数量列
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_number(test[col]):
col_index['数量'] = i
col_list.append(i)
break
# 分类列
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_classify(test[col]):
col_index['分类'] = i
col_list.append(i)
break
# 品牌列
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_brand(test[col]):
col_index['品牌'] = i
col_list.append(i)
break
# 参数列
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_param(test[col]):
col_index['参数'] = i
col_list.append(i)
break
# 型号
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_goods_name(test[col]):
col_index['型号'] = i
col_list.append(i)
break
# 封装
for i in range(0, len(columns)):
col = columns[i]
if i not in col_list and verify_encap(test[col]):
col_index['封装'] = i
col_list.append(i)
break
print(col_list)
if __name__ == '__main__':
main()
config/__pycache__/supplier.cpython-36.pyc 0 → 100644
No preview for this file type
config/conn_list.py
import pymysql
from config.db import *
import pymongo as pm
import redis
class ConnList:
@staticmethod
def Dashboard():
conf = dashboard_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Order():
conf = order_server
host = str(conf['host'])
user = conf['user']
password = conf['password']
db_name = conf['db_name']
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def WriteOrder():
conf = order_write_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
return pymysql.connect(host, user, password, db_name, charset='utf8')
@staticmethod
def Bigdata():
conf = bigdata_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Wms():
conf = wms_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Zy():
conf = zy_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def lxData():
conf = lxdata_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Behavior():
conf = behavior_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def IcData():
conf = ic_data_server
host = str(conf['host'])
user = conf['user']
password = conf['password']
db_name = conf['db_name']
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def SupData():
conf = supplier_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Activity():
conf = activity_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def LyGoods():
conf = lygoods_server
return redis.Redis(**conf)
@staticmethod
def Offer():
conf = offer_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Credit():
conf = credit_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def CreditSource():
conf = credit_source_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def CreditLx():
conf = credit_lx_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def CreditLocal():
conf = credit_local_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
return pymysql.connect(host, user, password, db_name, charset='utf8')
@staticmethod
def CreditSourceLocal():
conf = credit_source_local_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Chain():
conf = chain_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Local():
conf = local_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def Sz():
conf = sz_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def MongoDB():
conf = mongodb_server
host = str(conf['host'])
return pm.MongoClient(str(conf['host']))
@staticmethod
def SeoMongoDB():
conf = seo_mongodb_server
return pm.MongoClient(str(conf['host']))
@staticmethod
def LocalMongoDB():
conf = local_mongodb_server
return pm.MongoClient(str(conf['host']))
@staticmethod
def LocalRedis():
conf = local_redis
return redis.Redis(**conf)
@staticmethod
def WriteRedis():
conf = write_redis
return redis.Redis(**conf)
@staticmethod
def WriteRedis23():
conf = write_redis_23
return redis.Redis(**conf)
@staticmethod
def LocalTestRedis():
conf = local_test_redis
return redis.Redis(**conf)
@staticmethod
def SzLxData():
conf = sz_lx_data
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def WrCrm():
conf = wr_crm_server
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def LocalLx():
conf = local_liexin
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def LocalRank():
conf = local_rank
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
@staticmethod
def LxRank():
conf = lx_rank
return pymysql.connect(str(conf['host']), conf['user'], conf['password'],
conf['db_name'], charset='utf8')
return pm.MongoClient(host)
config/db.py
#!/usr/bin/env python
# -*- coding:utf-8 -*-
dashboard_server = {
'host': 'localhost',
'user': 'dashboard',
'password': 'ichunt5Dashboard@',
'db_name': 'dashboard'
}
order_server = {
'host': '172.18.137.22',
'user': 'huntdbslave',
......@@ -8,6 +15,48 @@ order_server = {
'db_name': 'hunt2016'
}
order_write_server = {
'host': '172.18.137.21',
'user': 'huntdbuser',
'password': 'mLssy2@@!!@$#yy',
'db_name': 'hunt2016'
}
bigdata_server = {
'host': '172.18.137.37',
'user': 'bigdata',
'password': 'bdYm2yy2mmyzlmlly',
'db_name': 'bigdata'
}
wms_server = {
'host': '172.18.137.33',
'user': 'LxWmsUserRead',
'password': 'Xu0U2oix3soYmosflmxIiZmyt',
'db_name': 'liexin_wms'
}
lxdata_server = {
'host': '172.18.137.33',
'user': 'LxDDUsedRead',
'password': '0o9u0U2oixoYmosflmxXtZmyt',
'db_name': 'liexin_data'
}
zy_server = {
'host': '172.18.137.33',
'user': 'LxDDUsedRead',
'password': '0o9u0U2oixoYmosflmxXtZmyt',
'db_name': 'liexin_data'
}
behavior_server = {
'host': '172.18.137.21',
'user': 'lxbehaviorread',
'password': 'XwZa920OiMLymsZzytread',
'db_name': 'liexin_behavior'
}
ic_data_server = {
'host': '172.18.137.21',
'user': 'dtuserRead',
......@@ -15,6 +64,163 @@ ic_data_server = {
'db_name': 'icdata'
}
supplier_server = {
'host': '172.18.137.21',
'user': 'SupDbUserR',
'password': 'Supssy2Ryxy',
'db_name': 'liexin_supp'
}
activity_server = {
'host': '172.18.137.21',
'user': 'lxtopic',
'password': 'mXYToic@#@yxIy',
'db_name': 'liexin_topic'
}
local_server = {
'host': 'localhost',
'user': 'root',
'password': '123',
'db_name': 'dashboard'
}
offer_server = {
'host': '192.168.1.232',
'user': 'root',
'password': '123456789',
'db_name': 'offer'
}
sz_server = {
'host': '172.18.137.21',
'user': 'ichunt_szusr',
'password': 'mXYm2##@!!@$#yy',
'db_name': 'ichunt_sz'
}
sz_lx_data = {
'host': '172.18.137.35',
'user': 'LxszUsed',
'password': '0o9u0SDxSflmxXtZmyt',
'db_name': 'liexin_sz_data'
}
mongodb_server = {
'host': 'mongodb://ichunt:huntmon66499@172.18.137.23/ichunt'
}
seo_mongodb_server = {
'host': 'mongodb://SeoUxPxts:hunxP2i1JlLm@172.18.137.23/seo'
}
local_mongodb_server = {
'host': 'mongodb://ichunt:huntmon6699@192.168.1.237/ichunt'
}
lygoods_server = {
'host': '172.18.137.39',
'password': 'icDb29mLy2s',
'port': '6379'
}
wr_crm_server = {
'host': '172.18.137.21',
'user': 'LxCrmUser',
'password': 'xUTmu0XsdUqoZIim2y',
'db_name': 'liexin_crm'
}
credit_server = {
'host': 'fkdb-master.ichunt.cc',
'user': 'Cdimz200o',
'password': 'mLssyDxmsySZmBomy',
'db_name': 'liexin_credit'
}
credit_source_server = {
'host': 'fkdb-master.ichunt.cc',
'user': 'tZzU0serMq',
'password': 'mLssyD2sySZmBo1y',
'db_name': 'liexin_credit_source'
}
credit_lx_server = {
'host': 'fkdb-master.ichunt.cc',
'user': 'PxLxcdp201',
'password': 'Oxnt2n0qplztMszym',
'db_name': 'liexin_credit_lx'
}
credit_local_server = {
'host': 'localhost',
'user': 'dashboard',
'password': 'ichunt5Dashboard@',
'db_name': 'dashboard'
}
credit_source_local_server = {
'host': 'localhost',
'user': 'dashboard',
'password': 'ichunt5Dashboard@',
'db_name': 'dashboard'
}
chain_server = {
'host': '172.18.137.21',
'user': 'ScsDbsy2x',
'password': 'xscSsy2@@!!@x%Yxm',
'db_name': 'liexin_sc'
}
rabbitMq_server = {
'host': '172.18.137.23',
# 'host': '192.168.1.237',
'user': 'huntadmin',
'password': 'jy2y2900'
}
local_redis = {
'host': '192.168.1.235',
'port': '6379',
'password': 'icDb29mLy2s'
}
write_redis = {
'host': '172.18.137.38',
'password': 'icDb29mLy2s',
'port': '6379'
}
write_redis_23 = {
'host': '172.18.137.21',
'password': 'icDb29mLy2s',
'port': '6379'
}
local_test_redis = {
'host': '192.168.1.235',
'password': 'icDb29mLy2s',
'port': '623379'
}
local_liexin = {
'host': '192.168.2.232',
'user': 'liexin',
'password': 'liexin#zsyM',
'db_name': 'liexin'
}
local_rank = {
'host': 'localhost',
'user': 'dashboard',
'password': 'ichunt5Dashboard@',
'db_name': 'dashboard'
}
lx_rank = {
'host': '172.18.137.37',
'user': 'Drakxs',
'password': 'sXtm23@!!@$2yoZ',
'db_name': 'data_rank'
}
config/supplier.py 0 → 100644
supplier = {
'future': 1,
'rochester': 3,
'tme': 4,
'verical': 5,
'element14': 6,
'digikey': 7,
'chip1stop': 8,
'aipco': 9,
'arrow': 10,
'alliedelec': 12,
'avnet': 13,
'mouser': 14,
'peigenesis': 19,
'powell': 20,
'rs': 21,
'master': 1672,
'rutronik': 1673,
'corestaff': 1675,
'buerklin': 1676,
'microchip': 1677,
'heilind': 1678,
'ti': 1679,
'撮合': -1000,
'猎芯联营-技术采集': 17,
'猎芯联营-渠道开发': 17,
'猎芯自营': 10000,
}
# 猎芯联营采集
supplier_collect = ['L0000096', 'L0000004', 'L0000218']
extract/__pycache__/ex_crm.cpython-36.pyc 0 → 100644
No preview for this file type
extract/__pycache__/ex_erp.cpython-36.pyc 0 → 100644
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extract/__pycache__/ex_goods.cpython-36.pyc 0 → 100644
No preview for this file type
extract/__pycache__/ex_ickey.cpython-36.pyc 0 → 100644
No preview for this file type
extract/__pycache__/ex_market.cpython-36.pyc 0 → 100644
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extract/__pycache__/ex_others.cpython-36.pyc 0 → 100644
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extract/__pycache__/ex_shence.cpython-36.pyc 0 → 100644
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extract/ex_activity.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExActivity(Base):
"""
钱包活动
字段：
wpr_id: 钱包优惠规则自增id
rule_name: 规则名称
start_time: 活动开始时间(int)
end_time: 活动结束时间(int)
rule_name: 活动名称
mall_type: 适用范围：1-全站 2-自营 3-联营
receiver_type: 返现对象 1-仅下单人 2-仅邀请人 3-邀请人和被邀请人
inviter_cashback_scale: 邀请人返现比例
invitee_cashback_scale: 被邀请人返现比例
inviter_require_amount: 邀请人订单金额下限
invitee_require_amount: 被邀请人订单金额下限
inviter_max_preferential_amount: 邀请人最大返还金额
invitee_max_preferential_amount: 被邀请人最大返还金额
"""
def wallet_activity(self, condition):
col = ['wpr_id',
'rule_name',
'rule_name',
'mall_type',
'start_time',
'end_time',
'receiver_type',
'invitee_cashback_scale',
'inviter_cashback_scale',
'inviter_require_amount',
'invitee_require_amount',
'inviter_max_preferential_amount',
'invitee_max_preferential_amount']
col_str = super().col_to_str(col)
db = ConnList.Order()
wpr_id = condition['wpr_id']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_wallet_preferential_rule WHERE wpr_id = %d AND %s" % (col_str, wpr_id, con_str)
results = DBHandler.read(db=db, sql=sql)
return super().result_to_dict(col, results)
extract/ex_base.py
from utils.date_handler import DateHandler
import subprocess
class Base:
def __init__(self, name):
print('抽取数据：', name)
print('--------', name, '---------')
# WHERE条件组装
@staticmethod
......@@ -13,7 +15,7 @@ class Base:
con_str = ''
index = 0
if len(condition) > 0:
con_str += ' AND '
# con_str += ' AND '
for row in condition:
index += 1
if index < len(condition):
......@@ -53,4 +55,47 @@ class Base:
r_list.append(r_dict)
return r_list
# 结果转换列表
@staticmethod
def result_to_list(result):
r_l = []
for row in result:
r_l.append(row[0])
return r_l
# Value条件组装
@staticmethod
def value_to_str(col, result):
value = ''
index = 0
for c in col:
index += 1
if index < len(col):
value += '\'' + str(result[c]) + '\','
else:
value += '\'' + str(result[c]) + '\''
return value
# 删除Linux本地文件
@staticmethod
def rm_local_file(file_name):
cmd = "rm -f " + file_name
subprocess.getoutput(cmd)
# 读取本地文件
@staticmethod
def read_local_file(file_name):
result = []
fo = open(file_name)
for line in fo.readlines():
result.append(line)
return result
extract/ex_behavior.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExBehavior(Base):
"""
行为日志
"""
def behavior_log(self, condition):
# 筛选字段
col = ['ip', 'behavior', 'platform', 'create_time', 'user_id', 'adtag', 'param', 'scene', 'user_sign', 'ptag', 'behavior']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Behavior()
con_str = super().condition_to_str(condition['condition'])
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT %s \
FROM lie_behavior_log \
WHERE create_time BETWEEN %d AND %d AND %s" % (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
extract/ex_crm.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExCrm(Base):
def crm_user(self, start_time, end_time):
# 订单数据库
db = ConnList.WrCrm()
sql = "SELECT outter_uid,user_id FROM lie_user WHERE create_time BETWEEN %d AND %d AND source IN (1,2) LIMIT 100000" % (start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
return results
\ No newline at end of file
extract/ex_dashboard.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExDashboard(Base):
def email_list(self, condition):
# 筛选字段
con_str = super().condition_to_str(condition['condition'])
# 订单数据库
db = ConnList.Dashboard()
sql = "SELECT email \
FROM \
lie_email_list \
WHERE %s" \
% con_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
print('final_result', len(final_result))
return final_result
"""
汇总订单数据
"""
def sum_order(self, condition):
# 筛选字段
col = ['sum(order_count)', 'sum(order_paid_count)']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_order_cal \
WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
抽取adtag
"""
def lie_adtag(self):
# 筛选字段
col = ['one_level_channel_en']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
sql = "SELECT %s FROM lie_adtag_config GROUP BY one_level_channel_en" % col_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取百度统计URL
"""
def baidu_page(self, condition):
# 筛选字段
col = ['url', 'pv_count']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Dashboard()
sql = "SELECT %s FROM lie_baidu_cal_visitpage WHERE cal_ts = \'%s\'" % (col_str, condition)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取ptag
"""
def lie_ptag(self):
# 筛选字段
col = ['ptag', 'regex', 'id']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
sql = "SELECT %s FROM lie_page" % col_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取活动数据
"""
def re_activity(self, condition):
# 筛选字段
col = ['id', 'sign', 'name', 'start_time', 'end_time', 'status']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Activity()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_activity WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取答题数据
"""
def answer(self, condition):
# 筛选字段
col = ['user_id', 'activity_id', 'score']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Order()
con_str = super().condition_to_str(condition['condition'])
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT %s FROM lie_question_user_score WHERE \
user_id not in (SELECT user_id FROM lie_user_main WHERE is_test = 1) AND \
create_time BETWEEN %d AND %d AND %s" % (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取自营料号数据
"""
def zy_goods(self, condition):
# 筛选字段
col = ['goods_id']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
start_time = condition['start_time']
sql = "SELECT %s FROM lie_sku_expose_goods WHERE cal_ts = %d" %\
(col_str, start_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
神策PV、UV
"""
def ex_shence_pu(self, condition):
# 筛选字段
col = ['pv', 'uv']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
start_time = condition['start_time']
sql = "SELECT %s FROM lie_shence_cal WHERE cal_ts = \'%s\'" % (col_str, start_time)
results = DBHandler.read(db, sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
SKU曝光总数
"""
def sku_sum_goods(self, condition):
col = ['goods_list']
# 连接数据库
db = ConnList.Dashboard()
start_time = condition['start_time']
sql = "SELECT sum(goods_list) FROM lie_sku_expose WHERE cal_ts = \'%s\'" % start_time
results = DBHandler.read(db, sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
平均周数据
"""
def avg_operate_data(self, condition):
col = ['avg(pv)', 'avg(uv)', 'avg(pv)/avg(uv)', 'sum(reg_user)', 'avg(active_user)']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Dashboard()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT %s FROM lie_operate_daily WHERE cal_ts BETWEEN \'%s\' AND \'%s\'" % (col_str, start_time, end_time)
results = DBHandler.read(db, sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
extract/ex_erp.py 0 → 100644
from extract.ex_base import Base
from utils.db_handler import DBHandler
from config.conn_list import ConnList
from suds.client import Client
import hprose
import json
class ExERP(Base):
def __init__(self, date):
self.api_url = 'http://119.23.228.186:6868/ormrpc/services'
self.cmp_url = 'http://119.23.228.186:8081'
self.date = date
self.credit = ConnList.Credit()
self.credit_source = ConnList.CreditSource()
self.credit_local = ConnList.CreditLocal()
"""
获取ERP汇率
"""
def get_erp_exchange(self):
client = Client(self.api_url + '/WSIchuntjKFacade?wsdl')
params_dict = {"CURRENCY": "美元", "BIZDATE": self.date}
return client.service.getExchangeRate(json.dumps(params_dict))
"""
获取ERP元数据
"""
def get_erp_company(self, company):
try:
client = hprose.HttpClient(self.cmp_url)
params_dict = {"CUSTOMER": company}
res = client.getReceivableList(json.dumps(params_dict))
return json.loads(res)
except:
return {}
"""
获取DB ERP数据
"""
def get_erp_data(self, con_str, db):
col = ['id', 'order_amount', 'entru_no', 'business_time', 'erp_company_code', 'gross_profit', 'deadline_day', 'delay_day', 'return_amount', 'return_time', 'receive_time', 'tolerance']
col_str = super().col_to_str(col)
sql = "SELECT %s FROM lie_basic_detail %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
final_result = super().result_to_dict(col, results)
return final_result
"""
获取ERP 列表
"""
def get_erp_list(self, db):
sql = "SELECT erp_company_code,company_name FROM lie_com_credits WHERE erp_company_code != \'\' GROUP BY erp_company_code,company_name"
result = DBHandler.read(db=db, sql=sql)
rd = []
for row in result:
erp_company_code = row[0]
company_name = row[1]
rd.append({
'cmp_code': erp_company_code,
'cmp_name': company_name
})
return rd
"""
获取ERP编码
"""
def get_erp_code(self, db):
sql = "SELECT erp_company_code FROM lie_basic_detail WHERE erp_company_code != \'\' GROUP BY erp_company_code"
result = DBHandler.read(db=db, sql=sql)
rd = []
for row in result:
erp_company_code = row[0]
rd.append(erp_company_code)
return rd
"""
获取不同ERP月份
"""
def get_erp_diff_month(self, table, db):
sql = "SELECT month FROM %s GROUP BY month" % table
result = DBHandler.read(db=db, sql=sql)
rd = []
for row in result:
month = row[0]
rd.append(month)
return rd
"""
获取最近六个月的数据
"""
def get_six_data(self, months, table, db):
sql = "SELECT appoint_tolerance,erp_company_code,SUM(delay_avg_day * receive_count) / SUM(receive_count),SUM(period_user_level) / 6,SUM(receive_amount),SUM(appoint_tolerance) \
FROM %s \
WHERE MONTH IN %s \
GROUP BY erp_company_code \
ORDER BY MONTH DESC" % (table, months)
result = DBHandler.read(db=db, sql=sql)
rd = []
for row in result:
rd.append({
'tolerance': int(row[0]),
'cmp_code': row[1],
'delay_avg_day': float(row[2]) if row[2] is not None else 0,
'use_level': float(row[3]) if row[3] is not None else 0,
'receive_amount': float(row[4]),
'total_tolerance': int(row[5])
})
return rd
# def get_six_data_temp(self, months, table, db):
# sql = "SELECT appoint_tolerance,erp_company_code,delay_avg_day,receive_amount \
# FROM %s \
# WHERE MONTH IN %s" % (table, months)
# result = DBHandler.read(db=db, sql=sql)
extract/ex_goods.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
import pymysql
import requests
class ExGoods(Base):
"""
自营SKU
"""
def ex_zy_goods(self, condition):
# 筛选字段
col = ['goods_name', 'ladder_price']
col_str = super().col_to_str(col)
rd = {}
# 连接数据库
db = ConnList.Zy()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_goods \
WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
for row in results:
rd[row[0]] = row[1]
return rd
"""
联营供应商列表
"""
def ex_ly_supplier(self, condition):
# 筛选字段
col = ['supplier_code', 'channel_uid', 'supplier_name']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.SupData()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_supplier_channel WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
return super().result_to_dict(col, results)
"""
获取猎芯联营下所有SKUID和价格
"""
def ex_ly_goods(self):
host = '172.18.137.29'
user = 'LxiCSpuR35'
password = 'Mysx3Tyzlo00oxlmllyR'
rd = {}
for i in range(0, 10):
db_name = 'liexin_sku_' + str(i)
print(db_name)
for j in range(0, 10):
table_name = 'lie_sku_' + str(j)
db = pymysql.connect(host, user, password, db_name, charset='utf8')
sql = "SELECT spu_id,ladder_price,canal FROM %s \
WHERE supplier_id = %d AND goods_status = 1 AND ladder_price != \'\'" % (table_name, 17)
result = DBHandler.read(db, sql)
for row in result:
rd[row[0]] = {'price': row[1], 'canal': row[2]}
print(len(rd))
return rd
"""
获取ERP联营采购数据
"""
def ex_erp_goods(self, condition):
# 筛选字段
col = ['supplier_name', 'sale_man', 'sale_order_no', 'pur_order_no',
'sale_man', 'pur_order_bizdate']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_erp_purchase \
WHERE pur_order_bizdate BETWEEN %d AND %d AND %s" % \
(col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
extract/ex_ickey.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from config.db import rabbitMq_server
from utils.rabbitMq_handler import Customer
from utils.msg_handler import MsgHandler
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from utils.log_handler import LogHandler
import traceback
import pymysql
import time
import json
class ExIckey(Base):
"""
处理ICKEY自营数据
"""
def ex_ickey_goods(self):
mq_db = ConnList.Dashboard()
def callback(ch, method, properties, body):
try:
self.storage(body, mq_db)
time.sleep(0.1)
except pymysql.err.OperationalError:
MsgHandler.send_dd_msg("【ICKEY数据库出错】\n" + "【出错数据】" + str(body) + "\n" + traceback.format_exc())
customer.send_task(body)
ch.basic_ack(delivery_tag=method.delivery_tag)
except Exception:
MsgHandler.send_dd_msg("【ICKEY采集出错】\n" + "【出错数据】" + str(body) + "\n" + traceback.format_exc())
else:
ch.basic_ack(delivery_tag=method.delivery_tag) # tell mq the task has done
# 判断队列数据数
msg_count = ch.queue_declare(queue='ickey_goods_store', durable=True).method.message_count
# 任务结束
if msg_count <= 0:
# 停止消费
ch.stop_consuming()
customer = Customer(rabbitMq_server['user'], rabbitMq_server['password'],
rabbitMq_server['host'], 'ickey_goods_store', '')
customer.server_forever(callback)
"""
读取云汉指数并写入文件
"""
def ex_ickey_index(self):
# 发送任务开始消息
# MsgHandler.send_dd_msg("【云汉指数数据采集】 启动")
start = DateHandler.now_datetime()
# 文件写入
file_name = r'/data3/hdfs_data/ickey_index/' + 'ickey_' + DateHandler.now_date(days=0, d_type=2) + '.txt'
fo = open(file_name, "w")
def callback(ch, method, properties, body):
try:
# 判断是否有数据
if ch.queue_declare(queue='ickey_index_data', durable=True).method.message_count > 0:
# 数据解析与写入
body_json = json.loads(str(body, encoding="utf-8"))
time.sleep(0.001)
result = "%s|%s|%s|%s|%s|%s|%s" % (body_json['goods_name'],
body_json['searchTrendAnalysis'],
body_json['searchAreaTrendAnalysis'],
body_json['industryType'],
body_json['search_num'],
body_json['trade_num'],
body_json['buyer_num'])
fo.write(result + "\n")
else:
ch.stop_consuming()
except Exception:
MsgHandler.send_dd_msg("【云汉指数采集出错】\n" + "【出错数据】" + str(body) + "\n" + traceback.format_exc())
else:
ch.basic_ack(delivery_tag=method.delivery_tag) # tell mq the task has done
# 判断队列数据数
msg_count = ch.queue_declare(queue='ickey_index_data', durable=True).method.message_count
# 刷新内存
if msg_count % 10000 == 0:
fo.flush()
# 任务结束
if msg_count <= 0:
# 发送任务结束消息
end = DateHandler.now_datetime()
dur = DateHandler.cal_duration(start, end, t_type=2)
MsgHandler.send_dd_msg("【云汉指数采集任务】 结束\n" +
"任务耗时：" + str(dur) + "分钟\n")
# 关闭文件流
fo.close()
# 停止消费
ch.stop_consuming()
customer = Customer(rabbitMq_server['user'], rabbitMq_server['password'],
rabbitMq_server['host'], 'ickey_index_data', '')
customer.server_forever(callback)
"""
ickey自营数据存储
"""
def storage(self, body, db):
result = json.loads(body)
if 'goods_sn' in result:
sql_exist = "SELECT id FROM lie_ickey_goods_stock WHERE goods_sn = %d" % result['goods_sn']
exist = DBHandler.read(db, sql_exist)
# 不存在则插入，存在则更新
# 插入
if len(exist) == 0:
sql = "INSERT INTO lie_ickey_goods_stock(goods_sn, pn, goods_name, brand_name, stock, moq, increment, \
url, ts, prices) VALUES ('%d', '%s', '%s', '%s', '%d', '%d', '%d', '%s', '%d', '%s')" % \
(result['goods_sn'], result['pn'], result['goods_name'], result['brand_name'], int(result['stock'][1]),
int(result['stock'][0]), result['increment'], result['url'], result['time'], result['prices'])
DBHandler.insert(db, sql)
# 更新
else:
sql = "UPDATE lie_ickey_goods_stock SET stock='%d', moq='%d', increment='%d', prices='%s', ts = '%d' \
WHERE goods_sn = '%d'" % \
(int(result['stock'][1]), int(result['stock'][0]), result['increment'],
result['prices'], DateHandler.now_datetime(), result['goods_sn'])
cursor = db.cursor()
try:
cursor.execute(sql)
except:
db.rollback()
# LogHandler.elk_log(str(traceback.format_exc()), 500, "/data3/dataLog/ex_ickey.log", "EX_ICKEY")
"""
获取所有ickey指数trade_num >= 10的数据
"""
def ex_ickey_index_goods(self):
index = 0
sum = 0
rd = {}
hdfs_file = r'/ickey_index/' + 'ickey_' + \
DateHandler.now_date(days=0, d_type=2) + '.txt'
hdfs_data = DBHandler.hdfs_read(hdfs_file)
print(hdfs_file)
for row in hdfs_data:
row = str(row, encoding="utf-8")
try:
goods_name = str(row).split('|')[0]
search_num = int(str(row).split('|')[4])
trade_num = int(str(row).split('|')[5])
buyer_num = int(str(row).split('|')[6])
sum += 1
if trade_num >= 10 and goods_name not in rd:
rd[goods_name] = {'ickey_search_count': search_num, 'ickey_trade_count': trade_num,
'ickey_buyer_count': buyer_num, 'create_time': DateHandler.now_datetime(),
'update_time': DateHandler.now_datetime(), 'goods_name': goods_name}
index += 1
except:
pass
print(index, sum)
return rd
extract/ex_ly_sku.py
......@@ -2,6 +2,8 @@ from extract.ex_base import Base
from config.conn_list import ConnList
from utils.date_handler import DateHandler
from utils.msg_handler import MsgHandler
from utils.log_handler import LogHandler
import subprocess
class ExLySku(Base):
......@@ -79,3 +81,65 @@ class ExLySku(Base):
MsgHandler.send_dd_msg("【Mongo数据删除任务】 结束\n" +
"任务耗时：" + str(dur) + "分钟\n" +
"删除数量：" + str(del_doc.deleted_count))
@staticmethod
def put_hdfs():
# 发送任务开始消息
MsgHandler.send_dd_msg("【数据上传HDFS任务】 启动")
start = DateHandler.now_datetime()
# 执行CMD命令
# 上传hdfs文件
cmd_1 = "hdfs dfs -put /data3/hdfs_data/ly_sku_price/sku_" + \
DateHandler.now_date(days=0, d_type=2) + \
".txt " + \
"/ly_sku_price/"
# 删除本地文件
cmd_2 = "rm -f " + "/data3/hdfs_data/ly_sku_price/sku_" + \
DateHandler.now_date(days=0, d_type=2) + \
".txt"
subprocess.getoutput(cmd_1)
subprocess.getoutput(cmd_2)
# 发送任务结束消息
end = DateHandler.now_datetime()
dur = DateHandler.cal_duration(start, end, t_type=2)
MsgHandler.send_dd_msg("【数据上传HDFS任务】 结束\n" +
"任务耗时：" + str(dur) + "分钟\n")
@staticmethod
def load_hbase():
# 发送任务开始消息
MsgHandler.send_dd_msg("【HDFS数据写入HBASE任务】 启动")
start = DateHandler.now_datetime()
msg = ""
# 执行CMD命令
cmd = "/data2/hbase/hbase-2.0.1/bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv " \
"-Dimporttsv.columns=HBASE_ROW_KEY,cf1:sku_id,cf1:tiered,cf1:time " \
"'-Dimporttsv.separator=|' sku:stockgoods /ly_sku_price/sku_" + \
DateHandler.now_date(days=0, d_type=2) + ".txt"
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
for info in p.communicate():
msg += str(info) + "\n"
# 日志写道ELK
LogHandler.elk_log(msg, 101, '/data3/dataLog/ly_price_collect_' + DateHandler.now_date(0, 2) + '.log',
'sku_collect')
# 发送任务结束消息
end = DateHandler.now_datetime()
dur = DateHandler.cal_duration(start, end, t_type=2)
MsgHandler.send_dd_msg("【HDFS数据写入HBASE任务】 结束\n" +
"任务耗时：" + str(dur) + "分钟\n")
@staticmethod
def del_hdfs():
hdfs_file = '/ly_sku_price/sku_' + \
DateHandler.now_date(days=0, d_type=2) + '.txt'
cmd = 'hadoop dfs -rm -r ' + hdfs_file
subprocess.getoutput(cmd)
extract/ex_market.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
class ExMarket(Base):
def ex_prize_log(self, condition):
# 筛选字段
col = ['user_id']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Order()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_prize_winner WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
优惠券订单信息
"""
def ex_user_coupon(self, condition):
# 筛选字段
col = ['c.user_id', 'o.order_amount', 'o.status', 'o.currency']
col_str = super().col_to_str(col)
# 连接数据库
db = ConnList.Order()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_user_coupon c \
LEFT JOIN lie_order o \
ON c.order_id = o.order_id \
WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
extract/ex_order.py
......@@ -14,8 +14,8 @@ class ExOrder(Base):
def all_order(self, condition):
# 筛选字段
col = ['user_id', 'order_id', 'order_source', 'order_type', 'status', 'order_amount',
'order_goods_type', 'currency']
col = ['user_id', 'order_id', 'order_source', 'order_type', 'status', 'order_amount', 'create_time',
'order_goods_type', 'currency', 'order_sn', 'sale_id', 'order_pay_type', 'cancel_reason']
col_str = super().col_to_str(col)
# 订单数据库
......@@ -30,14 +30,42 @@ class ExOrder(Base):
create_time BETWEEN %d AND %d \
AND is_type = 0 \
AND order_type = 1 \
AND user_id NOT IN ( SELECT user_id FROM lie_user_main WHERE is_test = 1 ) %s" \
AND user_id NOT IN (SELECT user_id FROM lie_user_main WHERE is_test = 1 OR is_type = 1) AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
平台汇总订单
"""
def all_pf_order(self, condition):
# 筛选字段
col = ['user_id', 'order_id', 'order_source', 'order_type', 'status', 'order_amount',
'order_goods_type', 'currency', 'order_sn', 'sale_id', 'order_type']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM \
lie_order \
WHERE \
create_time BETWEEN %d AND %d \
AND is_type = 0 \
AND user_id NOT IN ( SELECT user_id FROM lie_user_main WHERE is_test = 1 ) AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
print('final_result', len(final_result))
print(final_result[0])
return final_result
......@@ -51,8 +79,8 @@ class ExOrder(Base):
# 筛选字段
col = ['o.user_id', 'o.order_id', 'o.order_source', 'o.order_type', 'o.status', 'o.order_amount',
'o.order_goods_type', 'o.currency', 'o.pay_time', 'o.sale_id', 'i.tax_title', 'i.nike_name',
'u.mobile', 'u.email']
'o.order_goods_type', 'o.currency', 'o.pay_time', 'o.create_time', 'o.sale_id',
'i.tax_title', 'i.nike_name', 'u.mobile', 'u.email']
col_str = super().col_to_str(col)
# 订单数据库
......@@ -70,7 +98,7 @@ class ExOrder(Base):
o.pay_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND u.is_test = 0 %s" \
AND u.is_test = 0 AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
......@@ -87,7 +115,45 @@ class ExOrder(Base):
def order_items(self, condition):
# 筛选字段
col = ['i.order_id', 'u.user_id', 'i.goods_id', 'o.order_sn', 'o.status']
col = ['i.order_id', 'i.goods_id', 'i.goods_price', 'i.goods_number', 'i.single_pre_price', 'i.goods_type', 'i.status as items_status',
'i.canal', 'i.supplier_name', 'i.supplier_id', 'i.brand_id', 'i.goods_name', 'i.brand_name', 'i.goods_class',
'o.order_sn', 'o.status', 'o.currency', 'o.pay_time', 'o.create_time', 'o.order_pay_type',
'o.sale_id', 'o.order_source', 'o.order_source', 'o.cancel_reason',
'u.user_id', 'u.mobile', 'u.email',
'v.tax_title', 'v.nike_name', 'v.inv_type', 'v.company_phone']
# col = ['o.order_sn', 'i.supplier_id', 'i.supplier_name', 'i.canal', 'o.status']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_order_items i\
LEFT JOIN lie_order o ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u ON u.user_id = o.user_id \
LEFT JOIN lie_order_invoice v ON v.order_id = i.order_id \
WHERE o.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND u.is_test = 0 AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
平台订单明细
"""
def order_pf_price(self, condition):
# 筛选字段
col = ['p.price', 'p.price_type', 'o.currency', 'o.order_type', 'o.order_goods_type',
'o.order_source', 'o.user_id', 'o.order_id']
col_str = super().col_to_str(col)
# 订单数据库
......@@ -96,17 +162,15 @@ class ExOrder(Base):
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_order_items i\
LEFT JOIN lie_order o \
ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u \
ON u.user_id = o.user_id \
WHERE \
o.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type = 1 \
AND u.is_test = 0 %s" \
lie_order_price p\
LEFT JOIN lie_order o \
ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u \
ON u.user_id = o.user_id \
WHERE \
p.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND u.is_test = 0 AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
......@@ -115,3 +179,674 @@ class ExOrder(Base):
return final_result
"""
获取订单明细 V1.0 zzl
1. 关联订单表获取
"""
def order_paid_items(self, condition):
# 筛选字段
col = ['i.order_id', 'u.user_id', 'i.goods_id', 'o.order_sn', 'o.status', 'i.goods_price', 'i.goods_number',
'o.currency', 'i.supplier_id', 'i.canal', 'i.supplier_name', 'u.mobile', 'u.email', 'o.pay_time',
'v.tax_title', 'v.nike_name', 'o.sale_id', 'o.order_source']
# col = ['o.order_sn', 'i.supplier_id', 'i.supplier_name', 'i.canal', 'o.status']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_order_items i\
LEFT JOIN lie_order o \
ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u \
ON u.user_id = o.user_id \
LEFT JOIN lie_order_invoice v \
ON v.order_id = i.order_id \
WHERE \
o.pay_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.status > 2 \
AND o.order_type = 1 \
AND u.is_test = 0 AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取订单付款详情 V1.0 zzl
1. 关联订单表
"""
def order_price(self, condition):
# 筛选字段
col = ['o.order_goods_type', 'u.user_id', 'o.status', 'o.order_sn', 'o.order_id', 'p.price', 'p.price_type']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_order_price p \
LEFT JOIN lie_order o \
ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u \
ON u.user_id = o.user_id \
WHERE \
p.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND u.is_test = 0 AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取订单下指定ID的数据
"""
def order_items_specify(self, data):
sku = {}
# 筛选字段
col = ['goods_id', 'goods_number']
col_str = super().col_to_str(col)
for row in data:
order_id = row['order_id']
db = ConnList.Order()
sql = "SELECT %s FROM lie_order_items WHERE order_id = %d AND status = 1" % (col_str, order_id)
result = DBHandler.read(db=db, sql=sql)
for r in result:
goods_id = r[0]
goods_number = r[1]
if goods_id not in sku:
sku[goods_id] = goods_number
else:
sku[goods_id] += goods_number
return sku
"""
获取京东订单
"""
def jdLyOrder(self, condition):
# 筛选字段
col = ['count(*)', 'sum(order_payment)']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Bigdata()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_jd_order_main WHERE create_time BETWEEN %d AND %d AND %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
rd = []
for row in results:
rd.append({'count': row[0], 'amount': float(row[1]) if row[1] is not None else 0})
return rd
"""
订单付款明细
主表：
lie_pay_log
字段：
user_id: 用户id
order_id: 订单id
order_sn: 订单编号
pay_time: 支付时间
pay_amount: 支付金额
连接表：
lie_user_main
字段：
mobile: 手机
email: 邮箱
invite_uid: 邀请人ID
连接表：
lie_user_info
字段：
safe_mobile: 安全手机
连接表：
lie_order
字段：
currency: 币种 1-人民币 2-美元
条件
o.is_type != 1 不为尽调单
o.status > 2 订单已付款
o.order_pay_type != 3 订单不为账期单
u.is_test != 1 不为测试用户
"""
def wallet_pay_log(self, condition):
col = ['p.user_id',
'p.order_id',
'p.order_sn',
'p.pay_time',
'p.pay_amount',
'u.mobile',
'u.email',
'u.invite_uid',
'i.safe_mobile',
'o.currency']
col_str = super().col_to_str(col)
db = ConnList.Order()
# db = ConnList.Local()
start_time = condition['start_time']
end_time = condition['end_time']
create_start_time = condition['create_start_time']
create_end_time = condition['create_end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_pay_log p \
LEFT JOIN lie_user_main u ON u.user_id = p.user_id \
LEFT JOIN lie_user_info i ON i.user_id = p.user_id \
LEFT JOIN lie_order o ON o.order_id = p.order_id \
WHERE p.pay_time BETWEEN %d AND %d \
AND u.create_time BETWEEN %d AND %d \
AND %s ORDER BY p.pay_time" % (col_str, start_time, end_time, create_start_time, create_end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
return super().result_to_dict(col, results)
"""
首次下单用户
"""
def first_order_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.user_id NOT IN (SELECT user_id FROM lie_order WHERE create_time < %d AND is_type = 0 AND order_goods_type IN (1,2)) AND \
o.create_time BETWEEN %d AND %d AND o.is_type = 0 AND o.order_type = 1 AND o.order_goods_type IN (1,2) AND u.is_test = 0 AND u.is_type = 0 AND %s GROUP BY o.user_id" \
% (start_time, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
首次下单具体数据
"""
def first_order_detail(self, condition):
# 筛选字段
col = ['o.user_id',
'o.order_amount',
'o.currency',
'o.order_goods_type',
'o.status',
'u.mobile',
'u.email',
'o.pay_time',
'o.order_source',
'u.create_time as reg_time',
'o.create_time']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
order_goods_type = condition['order_goods_type']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.user_id NOT IN (SELECT user_id FROM lie_order WHERE create_time < %d AND is_type = 0 AND order_goods_type IN %s) AND \
o.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type IN %s \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND %s" \
% (col_str, start_time, order_goods_type, start_time, end_time, order_goods_type, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
联营首次下单用户
"""
def first_ly_order_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.user_id NOT IN (SELECT user_id FROM lie_order WHERE create_time < %d AND is_type = 0 AND order_goods_type = 1) AND \
o.create_time BETWEEN %d AND %d AND o.is_type = 0 AND o.order_type = 1 AND o.order_goods_type = 1 AND u.is_test = 0 AND u.is_type = 0 AND %s GROUP BY o.user_id" \
% (start_time, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
自营首次下单用户
"""
def first_zy_order_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT o.user_id \
FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.user_id NOT IN (SELECT user_id FROM lie_order WHERE create_time < %d AND is_type = 0 AND order_goods_type = 2) AND \
o.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type = 2 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND %s \
GROUP BY o.user_id" \
% (start_time, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
首次付款用户
"""
def first_paid_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT p.user_id FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE p.user_id NOT IN \
(SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < %d AND o.order_type = 1 AND o.order_goods_type IN (1,2) GROUP BY p.user_id) \
AND p.pay_time BETWEEN %d AND %d \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND u.is_test = 0 \
AND u.is_type = 0 \
GROUP BY p.user_id" \
% (start_time, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
自营分类
"""
def self_classify(self, condition):
# 筛选字段
col = ['class_id', 'class_name', 'parent_id']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.lxData()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_self_classify WHERE %s" % (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
联营首次付款用户
"""
def first_ly_paid_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT p.user_id \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE p.user_id NOT IN (SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < %d AND o.order_type = 1 AND o.order_goods_type = 1 AND o.is_type = 0 GROUP BY p.user_id) \
AND p.pay_time BETWEEN %d AND %d AND o.order_type = 1 AND o.order_goods_type = 1 AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0 GROUP BY p.user_id" \
% (start_time, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
自营首次付款用户
"""
def first_zy_paid_user(self, condition):
# 筛选字段
col = ['user_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT p.user_id \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE p.user_id NOT IN (SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < %d AND o.order_type = 1 AND o.order_goods_type = 2 AND o.is_type = 0 GROUP BY p.user_id) \
AND p.pay_time BETWEEN %d AND %d AND o.order_type = 1 AND o.order_goods_type = 2 AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0 GROUP BY p.user_id" \
% (start_time, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
取消订单数
"""
def cancel_order(self, condition):
# 筛选字段
col = ['order_id']
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT order_id FROM lie_order WHERE create_time BETWEEN %d AND %d AND status = -1 AND order_type = 1 AND order_goods_type IN (1,2) AND is_type = 0 AND %s" \
% (start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
注册用户转化率
"""
def reg_trans(self, condition):
# 筛选字段
col = ['u.user_id']
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
col_str = super().col_to_str(col)
sql = "SELECT %s FROM lie_user_main u \
LEFT JOIN lie_order o ON u.user_id = o.user_id \
WHERE o.create_time BETWEEN %d AND %d AND \
u.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.status > 2 \
AND u.is_test = 0 \
AND u.is_type = 0 GROUP BY u.user_id" % (col_str, start_time, end_time, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
支付详情
"""
def pay_log_detail(self, condition):
# 筛选字段
col = ['p.user_id', 'p.pay_amount', 'o.currency', 'o.order_goods_type']
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
col_str = super().col_to_str(col)
sql = "SELECT %s \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE \
o.is_type = 0 \
AND o.order_goods_type IN (1, 2) \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND p.pay_time BETWEEN %d AND %d" % (col_str, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
自营订单总用户数
"""
def zy_order_user(self, start_time):
col = ['user_id']
db = ConnList.Order()
sql = "SELECT o.user_id FROM lie_order o\
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.order_goods_type = 2 AND o.order_type = 1 AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0 AND o.status > 2 \
AND o.create_time <= %d \
GROUP BY o.user_id" % start_time
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
自营+联营单
"""
def zy_ly_order_user(self, start_time):
col = ['user_id']
db = ConnList.Order()
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.user_id IN (SELECT user_id FROM lie_order WHERE order_goods_type = 2 AND status > 2 AND create_time <= %d) \
AND o.order_type = 1 AND o.order_goods_type = 1 AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0 AND o.status > 2 \
AND o.create_time <= %d\
GROUP BY o.user_id" % (start_time, start_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
复购
"""
def repeat_buy(self, start_time, order_type):
col = ['user_id']
db = ConnList.Order()
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE o.order_type = 1 AND o.order_goods_type = %d AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0 AND o.status > 2 \
AND o.create_time <= %d \
GROUP BY o.user_id HAVING COUNT(o.user_id) > 1" % (order_type, start_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
线上总用户
"""
def online_user(self, start_time):
db = ConnList.Order()
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE u.is_test = 0 \
AND u.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND o.status = 10 \
AND o.create_time < %d \
GROUP BY o.user_id" % start_time
results = DBHandler.read(db=db, sql=sql)
user = len(results)
return user
"""
下单并付款用户
"""
def order_and_paid_user(self, condition):
#
ul = []
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT o.user_id FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE u.is_test = 0 \
AND u.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND o.status > 2 \
AND o.create_time BETWEEN %d AND %d \
AND o.order_goods_type IN %s \
GROUP BY o.user_id" \
% (start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
for row in results:
if row[0] not in ul:
ul.append(row[0])
return ul
"""
下单用户详情
"""
def order_and_paid_detail(self, condition):
# 筛选字段
col = ['o.user_id',
'o.order_amount',
'o.currency',
'o.order_goods_type',
'o.status',
'o.order_sn',
'u.email',
'u.mobile']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
order_goods_type = condition['order_goods_type']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE \
o.create_time BETWEEN %d AND %d \
AND o.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type IN %s \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND %s" \
% (col_str, start_time, end_time, order_goods_type, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
extract/ex_others.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExOthers(Base):
def email_list(self, condition):
# 筛选字段
con_str = super().condition_to_str(condition['condition'])
# 订单数据库
db = ConnList.Dashboard()
sql = "SELECT email \
FROM \
lie_email_list \
WHERE id > 0 %s" \
% con_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
print('final_result', len(final_result))
return final_result
extract/ex_purchase.py 0 → 100644
from extract.ex_base import Base
from config.conn_list import ConnList
from utils.db_handler import DBHandler
class ExPurchase(Base):
"""
库存预警
"""
def safe_stock(self, condition):
# 筛选字段
col = ['sku_id', 'b.packing_name']
col_str = super().col_to_str(col)
# 订单数据库
db = ConnList.Wms()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_safe_stock a \
LEFT JOIN lie_packing b \
ON a.packing_id = b.packing_id \
WHERE %s" \
% (col_str, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
采购单明细
i.status 1:正常 -1:已删除
p.status -10:作废 -1:草稿 1:待审核 4:待发货 6:部分发货 10:完全发货 11:强制完成
"""
def purchase_count(self, condition):
# 筛选字段
col = ['count(*) as count', 'sum(picking_number * picking_price) amount']
col_str = super().col_to_str(col)
db = ConnList.Wms()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_purchase_items i \
LEFT JOIN lie_purchase p ON i.picking_id = p.picking_id \
WHERE p.audit_time BETWEEN %d AND %d AND %s" % (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
rd = []
for row in results:
rd.append({'count': row[0], 'amount': float(row[1]) if row[1] is not None else 0})
return rd
"""
采购单明细
"""
def purchase_items(self, condition):
# 筛选字段
col = ['brand_name', '(picking_number * picking_price) amount']
col_str = super().col_to_str(col)
db = ConnList.Wms()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM \
lie_purchase_items i \
LEFT JOIN lie_purchase p ON i.picking_id = p.picking_id \
WHERE p.audit_time BETWEEN %d AND %d AND %s" % (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
rd = []
for row in results:
rd.append({'brand': row[0], 'amount': float(row[1]) if row[1] is not None else 0})
return rd
"""
待入库数量
"""
def in_stock(self, condition):
db = ConnList.lxData()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT count(*) FROM lie_examine WHERE status = 1 AND add_time \
BETWEEN %d AND %d" % (start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
return final_result
"""
总待入库数量
"""
def wait_stock(self):
db = ConnList.lxData()
sql = "SELECT count(*) FROM lie_goods WHERE status = 0"
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
return final_result
"""
总待审核数量
"""
def wait_examine(self):
# 订单数据库
db = ConnList.lxData()
sql = "SELECT count(*) FROM lie_examine WHERE status = 0"
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
return final_result
extract/ex_shence.py 0 → 100644
from extract.ex_base import Base
from utils.date_handler import DateHandler
import requests
import json
class ExShenCe(Base):
url = 'https://shence.ichunt.com/api/events/report?project=production&token=c792cda539bafaaff5100c269f702999f0b24ac9fb3262f5f4341486701c600f'
url2 = 'https://shence.ichunt.com/api/retentions/report?project=production&token=c792cda539bafaaff5100c269f702999f0b24ac9fb3262f5f4341486701c600f'
# URL
def url_detail(self):
rd = []
headers = {'content-type': 'application/json'}
body = {
"measures": [{
"event_name": "$pageview",
"aggregator": "general"
}],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 分组属性
"by_fields": ["event.$pageview.current_url"],
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rows = r.json()['rows']
for r in rows:
rd.append({'url': r['by_values'][0], 'pv_count': r['values'][0][0]})
except:
pass
return rd
# 汇总PV
def sum_pv(self):
rd = []
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$pageview",
# 聚合操作符
"aggregator": "general"
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 分组属性
"by_fields": [],
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
pf = r.json()['rows'][0]
rd.append(pf['values'][0][0])
except:
pass
return rd
# 获取不同平台PV
def ex_pv(self):
rd = {'PC': 0, 'H5': 0}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$pageview",
# 聚合操作符
"aggregator": "general"
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 分组属性
"by_fields": [
"event.$pageview.platformType"
],
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
pf_1 = r.json()['rows'][0]
pf_2 = r.json()['rows'][1]
rd[pf_1['by_values'][0]] = pf_1['values'][0]
rd[pf_2['by_values'][0]] = pf_2['values'][0]
except:
pass
return rd
# 汇总UV
def sum_uv(self):
rd = []
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$pageview",
# 聚合操作符
"aggregator": "unique"
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 分组属性
"by_fields": [],
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
pf = r.json()['rows'][0]
rd.append(pf['values'][0][0])
except:
pass
return rd
# 获取PV
def ex_uv(self):
rd = {'PC': 0, 'H5': 0}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$pageview",
# 聚合操作符
"aggregator": "unique"
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 分组属性
"by_fields": [
"event.$pageview.platformType"
],
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
pf_1 = r.json()['rows'][0]
pf_2 = r.json()['rows'][1]
rd[pf_1['by_values'][0]] = pf_1['values'][0]
rd[pf_2['by_values'][0]] = pf_2['values'][0]
except:
pass
return rd
# 正则表达式同时获取PV,UV,IP
def reg_pui(self, params):
rd = {'pv': 0, 'uv': 0, 'ip': 0}
headers = {'content-type': 'application/json'}
body = {
"measures": [{
"event_name": "$pageview",
"aggregator": "general"
}, {
"event_name": "$pageview",
"aggregator": "unique"
}, {
"event_name": "$pageview",
"aggregator": "uniqCount",
"field": "event.$pageview.$ip"
}],
"unit": "day",
"filter": {
"conditions": [{
"field": "event.$pageview.current_url",
"function": "rlike",
"params": [params]
}]
},
"by_fields": [],
"sampling_factor": 64,
"axis_config": {
"isNormalize": False,
"left": [],
"right": []
},
# 起始时间
"from_date": DateHandler.now_date(1, 1),
# 结束时间
"to_date": DateHandler.now_date(1, 1),
"bookmarkid": "9",
"tType": "n",
"ratio": "n",
"request_id": "1550559653526:226907",
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
values = r.json()['rows'][0]['values'][0]
rd['pv'] = values[0]
rd['uv'] = values[1]
rd['ip'] = values[2]
except:
pass
return rd
# 跳出率
def bounce_rate(self, start_time, end_time):
rd = {'bounce_rate': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$Anything",
# 聚合操作符
"aggregator": "bounce_rate",
"by_session": True,
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# session
"session_name": "session_default",
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['bounce_rate'] = str(rs['values'][0][0])
except:
pass
return rd
"""
停留时长，单位（秒）
"""
def stay_time(self, start_time, end_time):
rd = {'stay_time': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "$Anything",
# 聚合操作符
"aggregator": "AVG",
"field": "session.session_default.$session_duration",
"by_session": True,
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# session
"session_name": "session_default",
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['stay_time'] = str(rs['values'][0][0])
except:
pass
return rd
"""
注册人数
"""
def reg_user(self, start_time, end_time):
rd = {'reg_user': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "signUp",
# 聚合操作符
"aggregator": "unique",
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['reg_user'] = str(rs['values'][0][0])
except:
pass
return rd
"""
登录人数
"""
def log_user(self, start_time, end_time):
rd = {'log_user': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "login",
# 聚合操作符
"aggregator": "unique",
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# 汇总
# "detail_and_rollup": True,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['log_user'] = str(rs['values'][0][0])
except:
pass
return rd
"""
日活人数
"""
def active_user(self, start_time, end_time):
rd = {'active_user': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "cs",
# 聚合操作符
"aggregator": "unique",
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# 汇总
# "detail_and_rollup": True,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['active_user'] = str(rs['values'][0][0])
except:
pass
return rd
"""
搜索人数
"""
def search_user(self, start_time, end_time):
rd = {'search_user': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "search",
# 聚合操作符
"aggregator": "unique",
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# 汇总
# "detail_and_rollup": True,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['search_user'] = str(rs['values'][0][0])
except:
pass
return rd
"""
搜索次数
"""
def search_count(self, start_time, end_time):
rd = {'search_count': ''}
headers = {'content-type': 'application/json'}
body = {
"measures": [
{
# 事件名称
"event_name": "search",
# 聚合操作符
"aggregator": "general",
}
],
# 时间单位
"unit": "day",
# 筛选条件
"filter": {},
# 抽量因子，64为全量
"sampling_factor": 64,
# "axis_config": {"isNormalize": False, "left": [], "right": []},
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# 汇总
# "detail_and_rollup": True,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url, data=json.dumps(body, ensure_ascii=False), headers=headers)
try:
rs = r.json()['rows'][0]
rd['search_count'] = str(rs['values'][0][0])
except:
pass
return rd
"""
次日留存
"""
def preserve(self, start_time, end_time):
rd = {'preserve_radio': 0}
pre = 0
reg = 0
headers = {'content-type': 'application/json'}
body = {
# 筛选条件
"first_event": {
"event_name": "signUp",
"filter": {}
},
"second_event": {
"event_name": "$pageview",
"filter": {}
},
"measures": [],
"rangeText": "",
"extend_over_end_date": True,
"duration": 1,
"unit": "day",
"chartsType": "raw",
"user_filter": {},
"is_wastage": False,
# 抽量因子，64为全量
"sampling_factor": 64,
# 起始时间
"from_date": start_time,
# 结束时间
"to_date": end_time,
# 汇总
# "detail_and_rollup": True,
# "limit": 10,
"use_cache": True
}
r = requests.post(self.url2, data=json.dumps(body, ensure_ascii=False), headers=headers)
print(r.json())
try:
rows = r.json()['rows']
for r in rows:
cells = r['cells']
pre += cells[1]['people']
reg += r['total_people']
except:
pass
rd['preserve_radio'] = round((pre / reg) * 100, 2)
return rd
extract/ex_sku_expose.py 0 → 100644
import json
import requests
import subprocess
import time
from extract.ex_base import Base
from extract.ex_order import ExOrder
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from config.conn_list import ConnList
from config.supplier import supplier, supplier_collect
from pipeline.pi_email import PiEmail
from load.load_mysql import LoadMysql
from utils.excel_handler import ExcelHandler
from config.db import rabbitMq_server
from utils.rabbitMq_handler import Customer
class ExSkuExpose(Base):
@staticmethod
def merge_file():
# HDFS数据写到本地
time_ts = DateHandler.now_date(days=1, d_type=2)
des_file = ' /data3/hdfs_data/sku_expose/sku_expose_' + time_ts
# 文件回传HDFS
cmd = 'hadoop dfs -put ' + des_file + ' /sku_expose/'
subprocess.getoutput(cmd)
print(cmd)
# 删除本地文件
cmd = 'rm /data3/hdfs_data/sku_expose_' + time_ts
subprocess.getoutput(cmd)
print(cmd)
@staticmethod
def get_hdfs_data():
# 读取HDFS数据
time_ts = DateHandler.now_date(days=1, d_type=2)
hdfs_file = '/sku_expose/sku_expose_' + time_ts
hdfs_data = DBHandler.hdfs_read(hdfs_file)
return hdfs_data
@staticmethod
def collect_rq():
# 文件写入
file_name = r'/data3/hdfs_data/sku_expose/' + 'sku_expose_' + DateHandler.now_date(days=0, d_type=2)
fo = open(file_name, "a+")
def callback(ch, method, properties, body):
try:
# 判断是否有数据
if ch.queue_declare(queue='search_show_sku_list', durable=True).method.message_count > 0:
# 数据解析与写入
# body_json = json.loads(str(body, encoding="utf-8"))
time.sleep(0.001)
fo.write(str(body, encoding="utf-8") + "\n")
else:
ch.stop_consuming()
except Exception:
pass
else:
ch.basic_ack(delivery_tag=method.delivery_tag) # tell mq the task has done
# 判断队列数据数
msg_count = ch.queue_declare(queue='search_show_sku_list', durable=True).method.message_count
# 刷新内存
if msg_count % 10000 == 0:
fo.flush()
# 任务结束
if msg_count <= 0:
# 关闭文件流
fo.close()
# 停止消费
ch.stop_consuming()
customer = Customer(rabbitMq_server['user'], rabbitMq_server['password'],
rabbitMq_server['host'], 'search_show_sku_list', '')
customer.server_forever(callback)
"""
汇总SKU计算
"""
@staticmethod
def cal_sku_expose(hdfs_data):
# 汇总
sku_cal = {}
keyword_list = []
lowest_supplier = {}
sum_effect = 0
# 初始化sku_cal
for sp in supplier:
sku_cal[sp] = {'ex_count': 0,
'goods_list': [],
'keyword_list': [],
'order_sku': 0,
'order_paid_sku': 0,
'supplier_name': sp,
'supplier_id': supplier[sp],
'effect_sku': 0,
'canal': [],
'goods_name': [],
'lowest_radio': '0%'}
# 遍历获取数据
for row in hdfs_data:
try:
row = json.loads(row)
goods_id = int(row['goods_id'])
goods_name = row['goods_name']
supplier_type = row['supplier_type']
supplier_name = row['supplier_name']
keyword = row['keyword']
ladder_price = row['ladder_price']
# 获取渠道
canal_arr = supplier_name.split('-')
if len(canal_arr) > 1 and canal_arr[0] == '猎芯联营':
canal = canal_arr[1]
else:
canal = ''
# 特殊渠道转换
if supplier_type == '猎芯寄售':
supplier_type = '猎芯自营'
elif supplier_type == '猎芯联营':
supplier_type = '猎芯联营-渠道开发'
# 渠道转换
if canal != '' and canal in supplier_collect:
supplier_type = '猎芯联营-技术采集'
# supplier_type在渠道配置文件里面
if supplier_type in sku_cal:
# 渠道去重
if canal not in sku_cal[supplier_type]['canal'] and canal != '':
sku_cal[supplier_type]['canal'].append(canal)
# 汇总搜索词去重
if keyword not in keyword_list:
keyword_list.append(keyword)
# 渠道曝光计算
sku_cal[supplier_type]['ex_count'] += 1
# SKU去重
if goods_id not in sku_cal[supplier_type]['goods_list']:
sku_cal[supplier_type]['goods_list'].append(goods_id)
# 搜索词去重
if keyword not in sku_cal[supplier_type]['keyword_list']:
sku_cal[supplier_type]['keyword_list'].append(keyword)
# 商品名去重
if goods_name not in sku_cal[supplier_type]['goods_name']:
sku_cal[supplier_type]['goods_name'].append(goods_name)
# 渠道最低价
if len(ladder_price) > 0:
lowest_supplier = ExSkuExpose.merge_lowest_price(goods_name, ladder_price[0], supplier_type,
lowest_supplier)
except:
pass
# 计算最低价格
lowest_result = ExSkuExpose.cal_lowest_price(lowest_supplier)
# 获取订单明细数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['i.order_id > 1',
'o.order_source not like \'%pf=-1%\'',
'o.order_source like \'%search%\'']}
ex_order = ExOrder('料号明细')
data = ex_order.order_items(where)
# 遍历订单数据
for row in data:
supplier_name = row['supplier_name']
canal = row['canal']
# 猎芯联营渠道特殊处理
if supplier_name == '猎芯联营':
supplier_name = '猎芯联营-渠道开发' if canal in sku_cal['猎芯联营-渠道开发']['canal'] else '猎芯联营-技术采集'
# sku_cal更新
if supplier_name in sku_cal:
sku_cal[supplier_name]['order_sku'] += 1
if row['status'] > 2:
sku_cal[supplier_name]['order_paid_sku'] += 1
# SKU数值计算
for supplier_name in sku_cal:
sku_cal[supplier_name]['supplier_name'] = supplier_name
sku_cal[supplier_name]['goods_list'] = len(sku_cal[supplier_name]['goods_list'])
sku_cal[supplier_name]['keyword_list'] = len(sku_cal[supplier_name]['keyword_list'])
sku_cal[supplier_name]['ex_radio'] = \
str(round(sku_cal[supplier_name]['ex_count'] / len(hdfs_data) * 100, 2)) + '%'
# 区分自营联营
if supplier_name == '猎芯自营':
# 计算自营
db = ConnList.Zy()
sql = "SELECT count(*) FROM lie_goods WHERE status = 1"
result = DBHandler.read(db, sql)
if len(result) > 0:
sku_cal[supplier_name]['goods_radio'] = \
str(round(sku_cal[supplier_name]['goods_list'] / result[0][0] * 100, 2)) + '%'
sku_cal[supplier_name]['effect_sku'] = result[0][0]
sum_effect += result[0][0]
else:
sku_cal[supplier_name]['goods_radio'] = '0%'
elif supplier_name == '撮合':
# 获取撮合有效SKU数量
url = "http://footstone.ichunt.net/webapi/hd_matches_goods"
r = requests.post(url, data=body)
sku_cal[supplier_name]['effect_sku'] = r.json()['data']['total']
sum_effect += r.json()['data']['total']
# 计算撮合占比
sku_cal[supplier_name]['goods_radio'] = \
str(round(sku_cal[supplier_name]['goods_list'] / r.json()['data']['total'] * 100, 2)) + '%'
else:
# 有效sku数
sku_num = 0
# sku搜索接口
url = "http://so12.ichunt.com/search/es/searchsku"
# 联营渠道判断
canal_size = len(sku_cal[supplier_name]['canal'])
if canal_size > 0:
# 遍历渠道
for canal in sku_cal[supplier_name]['canal']:
body = {"supplier_id": sku_cal[supplier_name]['supplier_id'], "goods_status/condition": 1,
"status/condition": 1, 'canal/condition': canal}
r = requests.post(url, data=body)
sku_num += int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
else:
body = {"supplier_id": sku_cal[supplier_name]['supplier_id'], "goods_status/condition": 1,
"status/condition": 1}
r = requests.post(url, data=body)
sku_num += int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
# 计算结果
if sku_num > 0:
sku_cal[supplier_name]['goods_radio'] = \
str(round(sku_cal[supplier_name]['goods_list'] / int(sku_num) * 100, 2)) + '%'
else:
sku_cal[supplier_name]['goods_radio'] = '0%'
# 汇总计算
sum_effect += sku_num
sku_cal[supplier_name]['effect_sku'] = sku_num
# 订单曝光占比
if sku_cal[supplier_name]['effect_sku'] > 0:
sku_cal[supplier_name]['order_ep_radio'] = \
str(round(sku_cal[supplier_name]['order_sku'] / sku_cal[supplier_name]['effect_sku'] * 100,
4)) + '%'
else:
sku_cal[supplier_name]['order_ep_radio'] = '0%'
# 曝光转化率
if sku_cal[supplier_name]['order_sku'] > 0:
sku_cal[supplier_name]['ex_order_radio'] = str(round(sku_cal[supplier_name]['order_sku'] / sku_cal[supplier_name]['goods_list'] * 100, 2)) + '%' if sku_cal[supplier_name]['goods_list'] != 0 else 0
else:
sku_cal[supplier_name]['ex_order_radio'] = '0%'
# 搜索命中率
if int(sku_cal[supplier_name]['effect_sku']) > 0:
sku_cal[supplier_name]['keyword_radio'] = str(round(int(sku_cal[supplier_name]['keyword_list']) /
int(sku_cal[supplier_name]['effect_sku']) * 100, 2)) + '%'
else:
sku_cal[supplier_name]['keyword_radio'] = '0%'
# 曝光最低价结果计算
if supplier_name in lowest_result:
sku_cal[supplier_name]['lowest_radio'] = str(round(int(lowest_result[supplier_name]) / len(sku_cal[supplier_name]['goods_name']) * 100, 2)) + '%' if len(sku_cal[supplier_name]['goods_name']) > 0 else '0%'
# 更改数据为邮件格式
index = 1
e_data = {'day': DateHandler.now_date(1, 1)}
for sku in sku_cal:
# 有效SKU占比
sku_cal[sku]['effect_sku_radio'] = str(round(int(sku_cal[sku]['effect_sku']) / sum_effect * 100, 2)) + '%'
e_data['a_' + str(index)] = sku
e_data['b_' + str(index)] = sku_cal[sku]['effect_sku']
e_data['c_' + str(index)] = sku_cal[sku]['effect_sku_radio']
e_data['d_' + str(index)] = sku_cal[sku]['ex_count']
e_data['e_' + str(index)] = sku_cal[sku]['ex_radio']
e_data['f_' + str(index)] = sku_cal[sku]['goods_list']
e_data['g_' + str(index)] = sku_cal[sku]['goods_radio']
e_data['h_' + str(index)] = sku_cal[sku]['order_sku']
e_data['i_' + str(index)] = sku_cal[sku]['order_paid_sku']
e_data['j_' + str(index)] = sku_cal[sku]['order_ep_radio']
e_data['k_' + str(index)] = sku_cal[sku]['ex_order_radio']
e_data['l_' + str(index)] = sku_cal[sku]['keyword_list']
e_data['m_' + str(index)] = sku_cal[sku]['keyword_radio']
index += 1
# 写入MySQL
load_col = ['insert_time', 'cal_ts', 'ex_count', 'ex_radio', 'goods_list', 'goods_radio', 'effect_sku',
'effect_sku_radio', 'ex_order_radio', 'keyword_radio', 'order_sku', 'order_paid_sku',
'order_ep_radio', 'keyword_list', 'supplier_name', 'lowest_radio']
LoadMysql.sample_load(load_col, 'lie_sku_expose', sku_cal, db=ConnList.Dashboard())
PiEmail.pipeline_sku_expose(e_data)
"""
猎芯联营细分渠道计算
"""
@staticmethod
def cal_sku_expose_detail(hdfs_data):
# 计算集合
sku_cal = {}
# 遍历获取数据
for row in hdfs_data:
try:
row = json.loads(row)
goods_id = row['goods_id']
supplier_name = row['supplier_name']
keyword = row['keyword']
# 判断是否猎芯联营
if '猎芯联营-L' in supplier_name:
canal_arr = supplier_name.split('-')
# 判断字典中是否存在相同key
if supplier_name not in sku_cal:
sku_cal[supplier_name] = {'ex_count': 1, 'goods_list': [goods_id], 'keyword_list': [keyword],
'order_sku': 0, 'order_paid_sku': 0, 'supplier_name': supplier_name,
'effect_sku': 0, 'canal': canal_arr[1]}
else:
sku_cal[supplier_name]['ex_count'] += 1
# 料号去重
if goods_id not in sku_cal[supplier_name]['goods_list']:
sku_cal[supplier_name]['goods_list'].append(goods_id)
# 搜索词去重
if keyword not in sku_cal[supplier_name]['keyword_list']:
sku_cal[supplier_name]['keyword_list'].append(keyword)
except:
pass
# 获取订单明细数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['i.order_id > 1',
'o.order_source not like \'%pf=-1%\'',
'o.order_source like \'%search%\'']}
ex_order = ExOrder('料号明细')
data = ex_order.order_items(where)
# 遍历订单数据
for row in data:
supplier_name = '猎芯联营-' + row['canal']
# sku_cal更新
if supplier_name in sku_cal:
sku_cal[supplier_name]['order_sku'] += 1
if row['status'] > 2:
sku_cal[supplier_name]['order_paid_sku'] += 1
# 获取已经计算好的汇总数据
db = ConnList.Dashboard()
sql = "SELECT sum(ex_count), sum(goods_list), sum(keyword_list), sum(effect_sku) \
FROM lie_sku_expose \
WHERE cal_ts = '%s'" % DateHandler.now_date(1, 1)
result = DBHandler.read(db, sql)
ex_count = result[0][0]
goods_list = result[0][1]
keyword_list = result[0][2]
effect_sku = result[0][3]
# SKU数值计算
for supplier_name in sku_cal:
# sku搜索接口
url = "http://so12.ichunt.com/search/es/searchsku"
canal = sku_cal[supplier_name]['canal']
body = {"supplier_id": '17', "goods_status/condition": 1,
"status/condition": 1, 'canal/condition': canal}
r = requests.post(url, data=body)
sku_cal[supplier_name]['effect_sku'] = int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
sku_cal[supplier_name]['ex_radio'] = str(round(sku_cal[supplier_name]['ex_count']
/ ex_count * 100, 2)) + '%' if ex_count > 0 else '0%'
sku_cal[supplier_name]['goods_radio'] = str(round(len(sku_cal[supplier_name]['goods_list'])
/ goods_list * 100, 2)) + '%' if goods_list > 0 else '0%'
sku_cal[supplier_name]['keyword_radio'] = str(round(len(sku_cal[supplier_name]['keyword_list'])
/ keyword_list * 100, 2)) + '%' if keyword_list > 0 else '0%'
sku_cal[supplier_name]['effect_sku_radio'] = str(round(sku_cal[supplier_name]['effect_sku']
/ effect_sku * 100, 2)) + '%' if effect_sku > 0 else '0%'
sku_cal[supplier_name]['ex_order_radio'] = str(round(sku_cal[supplier_name]['order_sku']
/ len(sku_cal[supplier_name]['goods_list']) * 100, 2)) + '%' if len(sku_cal[supplier_name]['goods_list']) > 0 else '0%'
sku_cal[supplier_name]['order_ep_radio'] = str(round(sku_cal[supplier_name]['order_sku']
/ sku_cal[supplier_name]['effect_sku'] * 100, 2)) + '%' if sku_cal[supplier_name]['effect_sku'] > 0 else '0%'
sku_cal[supplier_name]['keyword_list'] = len(sku_cal[supplier_name]['keyword_list'])
sku_cal[supplier_name]['goods_list'] = len(sku_cal[supplier_name]['goods_list'])
# 写入MySQL
load_col = ['insert_time', 'cal_ts', 'ex_count', 'ex_radio', 'goods_list', 'goods_radio', 'effect_sku',
'effect_sku_radio', 'ex_order_radio', 'keyword_radio', 'order_sku', 'order_paid_sku',
'order_ep_radio', 'keyword_list', 'supplier_name']
LoadMysql.sample_load(load_col, 'lie_sku_expose_lxly', sku_cal, db=ConnList.Dashboard())
"""
计算过期sku曝光数据
"""
@staticmethod
def cal_sku_expose_expire(hdfs_data):
# 汇总
sku_cal = {}
# 初始化sku_cal
for sp in supplier:
if sp not in ['撮合', '猎芯自营']: # 去除非联营数据
sp_id = supplier[sp]
if '猎芯联营' in sp: # 统一为猎芯联营
sp = '猎芯联营'
sku_cal[sp] = {'ex_count': 0, # 曝光次数
'ex_rd': '0%', # 曝光次数占比
'goods_list': [], # 曝光数量
'goods_rd': '0%', # 曝光数量占比
'expire_num': 0, # 过期数量
'expire_rd': '0%', # 过期数量占比
'order_num': 0, # 下单sku数量
'supplier_name': sp, # 供应商名称
'supplier_id': sp_id} # 供应商id
# 遍历获取数据
for row in hdfs_data:
row = json.loads(row)
goods_id = row['goods_id']
supplier_type = row['supplier_type']
status = int(row['status']) if 'status' in row else 1
if status == 2 and supplier_type in sku_cal: # 1为非过期，2为过期，且supplier_type在cal中
sku_cal[supplier_type]['ex_count'] += 1 # 计算曝光次数
if goods_id not in sku_cal[supplier_type]['goods_list']: # 计算曝光数量
sku_cal[supplier_type]['goods_list'].append(goods_id)
# 计算有效sku数和过期sku数
for st in sku_cal:
url = "http://so12.ichunt.com/search/es/searchsku"
body = {"supplier_id": sku_cal[st]['supplier_id'],
"goods_status/condition": 1, # 商品状态 0：待审核 1：审核通过（上架）2:审核不通过 3：下架 4：删除
"status/condition": 0 # 是否过期，0为过期，1为非过期
}
r = requests.post(url, data=body)
expire_num = int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
sku_cal[st]['expire_num'] = expire_num
# 获取订单sku数
order = ExOrder('').order_items({'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
'condition': ['o.order_id > 0']})
for od in order:
sp_id = od['supplier_id']
bd_id = od['brand_id']
gn = od['goods_name']
sp_name = od['supplier_name']
body = {
"supplier_id": sp_id, # 供应商id
"brand_id/condition": bd_id, # 品牌id
"goods_name/condition": gn, # 型号
"goods_status/condition": 1,
"status/condition": 0
}
r = requests.post(url, data=body)
is_exit = int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
if is_exit != 0: # 匹配成功
sku_cal[sp_name]['order_num'] += 1
# 计算汇总值
expire_sum = 0 # 总过期数量
ex_sum = 0 # 总曝光次数
for st in sku_cal:
expire_sum += sku_cal[st]['expire_num']
ex_sum += sku_cal[st]['ex_count']
sku_cal[st]['goods_list'] = len(sku_cal[st]['goods_list']) # 获取列表长度
# 比例计算
rd = {}
index = 0
for st in sku_cal:
if ex_sum > 0: # 曝光次数占比
sku_cal[st]['ex_rd'] = str(round(sku_cal[st]['ex_count'] / ex_sum * 100, 2)) + '%'
if expire_sum > 0: # 过期sku占比
sku_cal[st]['expire_rd'] = str(round(sku_cal[st]['expire_num'] / expire_sum * 100,
2)) + '%'
if sku_cal[st]['expire_num'] > 0: # 过期SKU渠道占比
sku_cal[st]['goods_rd'] = str(round(sku_cal[st]['goods_list']
/ sku_cal[st]['expire_num'] * 100, 2)) + '%'
rd[index] = sku_cal[st]
index += 1
# 输出Excel
title = ['供应商', '过期SKU数量', '过期SKU占比', '过期SKU曝光次数', '过期SKU曝光次数占比',
'过期SKU曝光数量', '过期SKU渠道占比', '下单SKU数量']
content = ['supplier_name', 'expire_num', 'expire_rd', 'ex_count', 'ex_rd',
'goods_list', 'goods_rd', 'order_num']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
计算曝光下的搜索词
"""
@staticmethod
def cal_sku_keyword(hdfs_data):
# 去除的搜索词
nokey = ['撮合', '']
zy = ['猎芯自营', '猎芯寄售']
# 计算集合
keyword_cal = {}
try:
# 遍历获取数据
for row in hdfs_data:
row = json.loads(row)
supplier_type = row['supplier_type']
keyword = row['keyword'].replace('\'', '')
# 去除撮合搜索词
if supplier_type not in nokey:
# 判断keyword是否存在
if keyword not in keyword_cal:
keyword_cal[keyword] = {'zy_count': 0, 'ly_count': 0, 'sum_count': 0, 'keyword': keyword}
# 判断自营联营
if supplier_type in zy:
keyword_cal[keyword]['zy_count'] += 1
else:
keyword_cal[keyword]['ly_count'] += 1
keyword_cal[keyword]['sum_count'] += 1
# 写入MySQL
load_col = ['keyword', 'zy_count', 'ly_count', 'sum_count', 'insert_time', 'cal_ts']
LoadMysql.sample_load(load_col, 'lie_sku_expose_keyword', keyword_cal, db=ConnList.Dashboard())
except:
pass
@staticmethod
def cal_lc_expose(hdfs_data):
db = ConnList.lxData()
wr_db = ConnList.Dashboard()
goods_list = []
print(len(hdfs_data))
for row in hdfs_data:
try:
row = json.loads(row)
supplier_type = row['supplier_type']
goods_id = int(row['goods_id'])
if supplier_type == '猎芯自营':
goods_list.append(goods_id)
except:
pass
lc_count = 0
lc_goods = set()
for goods_id in goods_list:
sql = "SELECT self_supplier_type FROM lie_goods WHERE goods_id = %d" % goods_id
result = DBHandler.read(db, sql)
sp_type = result[0][0]
if sp_type == 2:
lc_count += 1
if goods_id not in lc_goods:
lc_goods.add(goods_id)
# 订单详情
condition = {
'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
'condition': ['o.order_goods_type = 2']
}
items = ExOrder('').order_items(condition)
order_goods_set = set()
order_user_set = set()
paid_goods_set = set()
paid_user_set = set()
for it in items:
goods_id = it['goods_id']
user_id = it['user_id']
status = it['status as items_status']
sql = "SELECT self_supplier_type FROM lie_goods WHERE goods_id = %d" % goods_id
result = DBHandler.read(db, sql)
sp_type = result[0][0]
if sp_type == 2:
order_goods_set.add(goods_id)
order_user_set.add(user_id)
if status == 1:
paid_goods_set.add(goods_id)
paid_user_set.add(user_id)
lc_goods = len(lc_goods)
lc_order_goods = len(order_goods_set)
lc_order_user = len(order_user_set)
lc_paid_goods = len(paid_goods_set)
lc_paid_user = len(paid_user_set)
cal_ts = DateHandler.now_date(1, 1)
sql = "INSERT INTO lie_sku_expose_lc (lc_count,lc_goods,lc_order_goods,lc_order_user,lc_paid_goods,lc_paid_user,cal_ts) \
VALUES (%d,%d,%d,%d,%d,%d,\'%s\')" % \
(lc_count, lc_goods, lc_order_goods, lc_order_user, lc_paid_goods, lc_paid_user, cal_ts)
DBHandler.insert(wr_db, sql)
"""
计算自营曝光料号
"""
@staticmethod
def cal_zy_expose(hdfs_data):
zy_list = []
re_list = []
try:
# 遍历获取数据
for row in hdfs_data:
row = json.loads(row)
supplier_type = row['supplier_type']
goods_id = row['goods_id']
if supplier_type == '猎芯自营' and goods_id not in re_list:
re_list.append(goods_id)
zy_list.append({'goods_id': goods_id})
# 写入MySQL
load_col = ['goods_id', 'cal_ts']
LoadMysql.simple_dict_load(load_col, 'lie_sku_expose_goods', zy_list, db=ConnList.Dashboard())
except:
pass
"""
计算渠道供应商
"""
@staticmethod
def cal_supplier_count(hdfs_data):
keyword_d = {}
result_d = {}
rd = {}
# 遍历获取数据
for row in hdfs_data:
row = json.loads(row)
show_time = row['show_time']
keyword = row['keyword']
supplier_type = row['supplier_type']
key = keyword + str(show_time)
if key not in keyword_d:
keyword_d[key] = [supplier_type]
else:
if supplier_type not in keyword_d[key]:
keyword_d[key].append(supplier_type)
for ls in keyword_d:
for sp in keyword_d[ls]:
if sp not in result_d:
result_d[sp] = 1
else:
result_d[sp] += 1
for rs in result_d:
if rs != '':
rd[rs] = {'supplier': rs, 'search_count': result_d[rs], 'create_time': DateHandler.now_datetime(), 'cal_ts': DateHandler.now_date(1, 1)}
col = ['supplier', 'search_count', 'create_time', 'cal_ts']
LoadMysql.sample_load(col, 'lie_sku_expose_search', rd, db=ConnList.Dashboard(), cal_time=False)
"""
汇总渠道最低价
"""
@staticmethod
def merge_lowest_price(goods_name, ladder_price, supplier_type, lowest_supplier):
# 最低起订量
purchases = int(ladder_price['purchases']) if 'purchases' in ladder_price else 1
price_cn = float(ladder_price['price_cn']) if 'price_cn' in ladder_price else 0
try:
if purchases > 0 and goods_name is not None:
price_cn = round(price_cn / purchases, 2)
# 判断最低价
if goods_name in lowest_supplier:
if supplier_type not in lowest_supplier[goods_name]:
lowest_supplier[goods_name][supplier_type] = price_cn
else:
lowest_supplier[goods_name] = {supplier_type: price_cn}
except:
print(goods_name, ladder_price, supplier_type, lowest_supplier)
return lowest_supplier
"""
计算渠道最低价
"""
@staticmethod
def cal_lowest_price(lowest_supplier):
rd = {}
for goods_name in lowest_supplier:
sup_list = lowest_supplier[goods_name]
max_price = 99999999
supplier_type = ''
# 遍历找到最低价
for sup in sup_list:
if supplier[sup] < max_price:
max_price = supplier[sup]
supplier_type = sup
if supplier_type not in rd:
rd[supplier_type] = 1
else:
rd[supplier_type] += 1
return rd
extract/ex_user.py
......@@ -11,7 +11,7 @@ class ExUser(Base):
def reg_user(self, condition):
# 筛选字段
col = ['user_id', 'create_time', 'mobile', 'email']
col = ['user_id', 'create_time', 'mobile', 'email', 'reg_remark', 'create_device']
col_str = super().col_to_str(col)
# 用户数据库
......@@ -26,8 +26,217 @@ class ExUser(Base):
WHERE \
create_time BETWEEN %d AND %d \
AND is_test = 0 \
AND is_type = 0 %s" \
AND is_type = 0 \
AND create_device != 20 %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
获取登录用户
"""
def login_user(self, condition):
# 筛选字段
col = ['user_id', 'login_remark', 'platform']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM \
lie_user_login_log \
WHERE \
last_login_time BETWEEN %d AND %d \
AND user_id NOT IN (SELECT user_id FROM lie_user_main WHERE is_test = 1) %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
用户优惠券
"""
def user_coupon(self, condition):
# 筛选字段
col = ['source']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s FROM lie_user_coupon \
WHERE create_time BETWEEN %d AND %d %s" \
% (col_str, start_time, end_time, con_str)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
"""
复购人员
"""
def re_pur_user(self, condition):
# 筛选字段
col = ['o.user_id']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
count = condition['count']
sql = "SELECT %s \
FROM \
lie_order o \
LEFT JOIN lie_user_main u \
ON o.user_id = u.user_id \
WHERE \
o.create_time <= %d \
AND o.STATUS > 2 \
AND o.order_type = 1 \
AND o.is_type = 0 \
AND u.is_test = 0 \
AND u.create_device != 20 \
GROUP BY o.user_id \
HAVING COUNT( o.user_id ) >= %d" \
% (col_str, start_time, count)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
return final_result
"""
复购人员账号
"""
def re_pur_account(self, condition):
# 筛选字段
col = ['u.email', 'u.mobile', 'u.create_time']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
count = condition['count']
sql = "SELECT %s \
FROM \
lie_order o \
LEFT JOIN lie_user_main u \
ON o.user_id = u.user_id \
WHERE \
o.create_time <= %d \
AND o.STATUS > 2 \
AND o.order_type = 1 \
AND o.is_type = 0 \
AND u.is_test = 0 \
AND u.create_device != 20 \
GROUP BY o.user_id \
HAVING COUNT( o.user_id ) >= %d" \
% (col_str, start_time, count)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(results)
return final_result
"""
历史未注册用户
"""
def his_no_buy(self, condition):
#
col = ['user_id']
col_str = super().col_to_str(col)
sql = "SELECT %s \
FROM lie_user_main \
WHERE is_test = 0 AND is_type = 0" % col_str
"""
首购用户
"""
def first_buy_user(self, condition):
# 筛选字段
col = ['o.user_id', 'o.order_amount', 'o.status', 'o.currency', 'o.pay_time', 'o.sale_id',
'o.create_time', 'i.tax_title', 'i.nike_name', 'u.mobile', 'u.email']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT %s \
FROM lie_order o\
LEFT JOIN lie_order_invoice i \
ON o.order_id = i.order_id \
LEFT JOIN lie_user_main u \
ON o.user_id = u.user_id \
WHERE o.create_time BETWEEN %d AND %d \
AND o.order_type = 1 \
AND o.is_type = 0 \
AND u.is_test != 1 \
AND %s \
AND o.user_id NOT IN \
(SELECT user_id FROM lie_order WHERE is_type = 0 AND order_type = 1 AND create_time <= %d GROUP BY user_id)" \
% (col_str, start_time, end_time, con_str, start_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
def new_user_order(self, condition):
col = ['o.user_id', 'u.mobile', 'u.email']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
start_time = condition['start_time']
end_time = condition['end_time']
sql = "SELECT %s FROM lie_order o \
LEFT JOIN lie_user_main u \
ON o.user_id = u.user_id \
WHERE o.user_id IN \
( \
SELECT user_id FROM lie_user_main WHERE user_id NOT IN \
( \
SELECT user_id FROM lie_order WHERE is_type = 0 AND order_type = 1 \
AND create_time <= %s \
) \
AND is_test = 0 \
) AND o.create_time \
BETWEEN %s AND %s \
AND o.order_type = 1 AND o.is_type = 0 GROUP BY o.user_id" % (col_str, start_time, start_time, end_time)
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
......@@ -35,3 +244,60 @@ class ExUser(Base):
print('final_result', len(final_result))
return final_result
"""
根据文件获取用户id
"""
def file_user(self):
rd = []
db = ConnList.Order()
data = self.read_local_file('name.txt')
for d in data:
mobile = d.replace('\n', '')
sql = "SELECT user_id,email FROM lie_user_main WHERE mobile = %d" % int(mobile)
print(sql)
results = DBHandler.read(db=db, sql=sql)
if len(results) > 0:
rd.append({'mobile': mobile, 'email': results[0][1], 'user_id': results[0][0]})
return rd
"""
获取报价系统user_id
"""
def lx_offer(self, condition):
# 用户数据库
db = ConnList.Dashboard()
con_str = super().condition_to_str(condition['condition'])
sql = "SELECT user_id FROM lie_offer WHERE %s " % con_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_list(results)
return final_result
"""
测试IP
"""
def test_ip(self):
# 筛选字段
col = ['ip']
col_str = super().col_to_str(col)
# 用户数据库
db = ConnList.Order()
sql = "SELECT %s \
FROM lie_test_ip"\
% col_str
results = DBHandler.read(db=db, sql=sql)
# 结果格式转换为字典
final_result = super().result_to_dict(col, results)
return final_result
hehe.xlsx 0 → 100644
No preview for this file type
item.xml 0 → 100644
This diff could not be displayed because it is too large.
liexin521/.bash_profile 0 → 100644
# .bash_profile
# Get the aliases and functions
if [ -f ~/.bashrc ]; then
. ~/.bashrc
fi
# User specific environment and startup programs
HADOOP_HOME=/data2/hadoop/hadoop-2.7.6
PATH=$PATH:$HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export PATH HADOOP_HOME
liexin521/.beeline/history 0 → 100644
!connect jdbc:hive2://localhost:10000
hive
liexin521/.cache/pip/selfcheck.json 0 → 100644
{"/usr/python":{"last_check":"2019-09-24T03:07:38Z","pypi_version":"19.2.3"}}
\ No newline at end of file
liexin521/.mysql_history 0 → 100644
This diff could not be displayed because it is too large.
liexin521/lie_com_credits.sql 0 → 100644
/*
Navicat Premium Data Transfer
Source Server : liexin_credit
Source Server Type : MySQL
Source Server Version : 50548
Source Host : 192.168.2.232:3306
Source Schema : liexin_credit
Target Server Type : MySQL
Target Server Version : 50548
File Encoding : 65001
Date: 13/12/2019 14:18:06
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for lie_com_credits
-- ----------------------------
DROP TABLE IF EXISTS `lie_com_credits`;
CREATE TABLE `lie_com_credits` (
`id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键id',
`apply_account` varchar(11) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '申请账号 手机号 法人电话',
`erp_company_code` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT 'erp公司编码',
`company_name` varchar(60) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '公司名字',
`static_credit_score` decimal(6, 2) UNSIGNED NOT NULL DEFAULT 0.00 COMMENT '静态信用分',
`dynamic_credit_score` decimal(6, 2) UNSIGNED NOT NULL DEFAULT 0.00 COMMENT '动态信用分',
`total_credit_score` decimal(6, 2) NOT NULL DEFAULT 0.00 COMMENT '总信用分',
`status` tinyint(1) UNSIGNED NOT NULL DEFAULT 1 COMMENT '1已申请 5待评分 10已评分',
`blacklist_hit` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '黑名单命中',
`credit_invest_result` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '征信达标结果',
`ichunt_hunting_core` tinyint(1) NOT NULL COMMENT '猎芯网评分分级',
`recommended_amount` decimal(12, 2) NOT NULL DEFAULT 0.00 COMMENT '建议额度',
`recom_time_limit` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '建议区间',
`admin_id` int(10) UNSIGNED NOT NULL DEFAULT 0 COMMENT '评分人ID',
`admin_name` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL DEFAULT '' COMMENT '评分人',
`score_time` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT '评分时间',
`create_time` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT '创建时间',
`update_time` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT '修改时间',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE INDEX `company_name`(`company_name`) USING BTREE,
INDEX `company_code_2`(`erp_company_code`, `status`, `create_time`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 48 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '公司信用分管理' ROW_FORMAT = Compact;
-- ----------------------------
-- Records of lie_com_credits
-- ----------------------------
INSERT INTO `lie_com_credits` VALUES (2, '13277999723', 'LX001', '猎芯科技', 23.50, 17.00, 40.50, 10, '', '', 4, 50000.00, '5天', 1354, '朱国军', 1575453290, 1574675417, 1575453290);
INSERT INTO `lie_com_credits` VALUES (5, '5695', 'LX002', '小明科技', 16.50, 13.00, 29.50, 10, '', '', 5, 0.00, '0', 1357, '朱继来', 1576047410, 1574695555, 1576047410);
INSERT INTO `lie_com_credits` VALUES (9, '17600091664', 'LX003', '猎芯科技1', 24.25, 0.00, 24.25, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1575531942, 1575355839, 1575531942);
INSERT INTO `lie_com_credits` VALUES (15, '15365025118', 'LX004', '211221', 15.50, 28.00, 43.50, 10, '', '', 4, 50000.00, '5天', 0, '', 0, 1575448470, 0);
INSERT INTO `lie_com_credits` VALUES (16, '18589050841', 'LX005', '18589050841', 16.00, 16.00, 32.00, 10, '', '', 5, 0.00, '0', 0, '', 0, 1575449102, 0);
INSERT INTO `lie_com_credits` VALUES (17, '15989570000', 'LX006', '深圳市猎芯科技有限公司', 10.00, 0.00, 10.00, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1575969536, 1575669102, 1575969536);
INSERT INTO `lie_com_credits` VALUES (18, '15989571111', 'LX007', '深圳卓越飞讯电子有限公司', 10.50, 0.00, 10.50, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1576045211, 1575779102, 1576045211);
INSERT INTO `lie_com_credits` VALUES (19, '15989572222', 'LX008', '北京天涯泰盟科技股份有限公司', 10.00, 0.00, 10.00, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1576045976, 1575889102, 1576045976);
INSERT INTO `lie_com_credits` VALUES (20, '13397978887', 'LX008', '深圳市同创芯科技有限公司', 10.00, 0.00, 10.00, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1575968590, 1575966673, 1575968590);
INSERT INTO `lie_com_credits` VALUES (21, '13397978829', 'LX007', '深圳市极限网络科技有限公司', 10.50, 0.00, 10.50, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1575969906, 1575969833, 1575969906);
INSERT INTO `lie_com_credits` VALUES (22, '13640960251', 'LX007', '深圳市品慧电子有限公司', 10.00, 0.00, 10.00, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1576035832, 1575970573, 1576035832);
INSERT INTO `lie_com_credits` VALUES (23, '13388880000', 'LX007', '深圳市百姓通商网络科技有限公司', 9.50, 0.00, 9.50, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1575970936, 1575970821, 1575970936);
INSERT INTO `lie_com_credits` VALUES (24, '16600001111', 'LX007', '深圳市锦懋微电子有限公司', 10.50, 0.00, 10.50, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1576048947, 1576048830, 1576048947);
INSERT INTO `lie_com_credits` VALUES (25, '13602602902', '', '深圳一二三科技有限公司', 10.00, 0.00, 10.00, 10, '', '', 1, 300.00, '1天', 1357, '朱继来', 1576118530, 1576050156, 1576118530);
INSERT INTO `lie_com_credits` VALUES (26, '13012340000', '', '创业集团', 9.50, 0.00, 9.50, 10, '', '', 1, 300.00, '1天', 0, '', 0, 1576053465, 0);
INSERT INTO `lie_com_credits` VALUES (27, '13012340001', '', '深圳明主科技有限公司1', 10.00, 0.00, 1.00, 10, '', '', 1, 300.00, '1天', 1354, '朱国军', 1576058659, 1576054647, 1576058659);
INSERT INTO `lie_com_credits` VALUES (28, '13012340003', '', '自由公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 1357, '朱继来', 1576057792, 1576056986, 1576057792);
INSERT INTO `lie_com_credits` VALUES (29, '13012340000', 'LX008', '完美世界游戏有限责任公司', 11.00, 0.00, 11.00, 10, '', '', 5, 0.00, '0', 1354, '朱国军', 1576144150, 1576118006, 1576144150);
INSERT INTO `lie_com_credits` VALUES (30, '13602602902', '', '扫毒2A', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 1515, '孙龙', 1576134327, 1576120755, 1576134327);
INSERT INTO `lie_com_credits` VALUES (31, '13602602902', '', 'company', 6.00, 0.00, 6.00, 1, '', '', 1, 300.00, '1天', 0, '', 0, 1576131241, 1576131241);
INSERT INTO `lie_com_credits` VALUES (32, '17600091664', '', '中印云端（深圳）科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134467, 1576134467);
INSERT INTO `lie_com_credits` VALUES (33, '17600091664', '', '深圳卓越飞讯科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134486, 1576134486);
INSERT INTO `lie_com_credits` VALUES (34, '17600091664', '', '深圳市展创电子有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134503, 1576134503);
INSERT INTO `lie_com_credits` VALUES (35, '17600091664', '', '深圳市义熙科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134511, 1576134511);
INSERT INTO `lie_com_credits` VALUES (36, '17600091664', '', '深圳市耀亮科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134518, 1576134518);
INSERT INTO `lie_com_credits` VALUES (37, '17600091664', '', '深圳市尚格实业有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134534, 1576134534);
INSERT INTO `lie_com_credits` VALUES (38, '17600091664', '', '深圳市晶尚景电子科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134542, 1576134542);
INSERT INTO `lie_com_credits` VALUES (39, '17600091664', '', '深圳市锦锐科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134548, 1576134548);
INSERT INTO `lie_com_credits` VALUES (40, '17600091664', '', '深圳市弘安盛电子有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134562, 1576134562);
INSERT INTO `lie_com_credits` VALUES (41, '17600091664', '', '深圳市和世达电子科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134568, 1576134568);
INSERT INTO `lie_com_credits` VALUES (42, '17600091664', '', '深圳市禾田普达科技有限公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576134574, 1576134574);
INSERT INTO `lie_com_credits` VALUES (43, '17600091664', '', '上海麦霖电子技术有限公司', 0.00, 0.00, 0.00, 5, '', '', 0, 0.00, '', 1515, '孙龙', 1576217604, 1576134581, 1576217604);
INSERT INTO `lie_com_credits` VALUES (44, '17600091664', '', '成都鸿悦科技有限公司', 0.00, 0.00, 0.00, 5, '', '', 0, 0.00, '', 1515, '孙龙', 1576216747, 1576134587, 1576216747);
INSERT INTO `lie_com_credits` VALUES (45, '17600091664', 'GGN0001477', '北京大唐高鸿数据网络技术有限公司', 10.00, 0.00, 10.00, 10, '', '', 5, 0.00, '0', 1515, '孙龙', 1576199464, 1576134600, 1576199464);
INSERT INTO `lie_com_credits` VALUES (46, '18912340000', '', '小红公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576205207, 1576205207);
INSERT INTO `lie_com_credits` VALUES (47, '13602602902', '', '小学公司', 0.00, 0.00, 0.00, 1, '', '', 0, 0.00, '', 0, '', 0, 1576206833, 1576206833);
SET FOREIGN_KEY_CHECKS = 1;
liexin521/wms-2019/liexin_kaipao.sql 0 → 100644
-- MySQL dump 10.13 Distrib 5.7.22, for Linux (x86_64)
--
-- Host: localhost Database: liexin_kaipao
-- ------------------------------------------------------
-- Server version 5.7.22
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `lie_feedbackheadr`
--
DROP TABLE IF EXISTS `lie_feedbackheadr`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `lie_feedbackheadr` (
`unino` varchar(20) NOT NULL DEFAULT '' COMMENT '编号',
`invoicetypecode` varchar(10) NOT NULL DEFAULT '' COMMENT '类别代码',
`invoiceno` varchar(120) NOT NULL DEFAULT '' COMMENT '发票号',
`sta` varchar(10) NOT NULL DEFAULT '' COMMENT '状态',
`kpr` varchar(10) NOT NULL DEFAULT '' COMMENT '开票人',
`affdate` datetime DEFAULT NULL COMMENT '开票日期',
`invoicenature` tinyint(1) NOT NULL DEFAULT '0' COMMENT '发票性质',
`amount` float NOT NULL DEFAULT '0' COMMENT '金额',
`taxamount` float NOT NULL DEFAULT '0' COMMENT '税额',
`rowtotals` float NOT NULL DEFAULT '0' COMMENT '合计行含税金额',
`totalamount` float NOT NULL DEFAULT '0' COMMENT '合计行金额',
`totaltaxamount` float NOT NULL DEFAULT '0' COMMENT '合计行税额',
`memo` varchar(230) NOT NULL DEFAULT '' COMMENT '备注',
`flag` tinyint(1) DEFAULT '0' COMMENT '是否需要同步该记录,0为需要，1为已经同步过',
UNIQUE KEY `unino_invoiceno` (`unino`,`invoiceno`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='开票机器发票返回处理';
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `lie_feedbackheadr`
--
LOCK TABLES `lie_feedbackheadr` WRITE;
/*!40000 ALTER TABLE `lie_feedbackheadr` DISABLE KEYS */;
INSERT INTO `lie_feedbackheadr` VALUES ('1','4403173320','04250072','FRM','梁婷招','2018-05-28 14:26:22',0,203.72,34.63,238.35,203.72,34.63,'YSFP-PP-00000091',1),('1','4403174130','18334921','FRM','梁婷招','2018-06-26 16:39:21',0,9999.8,1599.97,11599.8,9999.8,1599.97,'YSFP-ZP-00003257、YSFP-ZP-00003259、YSFP-ZP-00003264、YSFP-ZP-00003266、YSFP-ZP-00003267、YSFP-ZP-00003411、YSFP-ZP-00003412',1),('1','4403174130','18334922','FRM','梁婷招','2018-06-26 16:39:25',0,9991.38,1598.62,11590,9991.38,1598.62,'YSFP-ZP-00003257、YSFP-ZP-00003259、YSFP-ZP-00003264、YSFP-ZP-00003266、YSFP-ZP-00003267、YSFP-ZP-00003411、YSFP-ZP-00003412',1),('1','4403174130','18334923','FRM','梁婷招','2018-06-26 16:39:27',0,9991.38,1598.62,11590,9991.38,1598.62,'YSFP-ZP-00003257、YSFP-ZP-00003259、YSFP-ZP-00003264、YSFP-ZP-00003266、YSFP-ZP-00003267、YSFP-ZP-00003411、YSFP-ZP-00003412',1),('1','4403174130','18334924','FRM','梁婷招','2018-06-26 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17:43:20',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210657','FRM','梁婷招','2018-06-06 17:43:21',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210658','FRM','梁婷招','2018-06-06 17:43:24',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210659','FRM','梁婷招','2018-06-06 17:43:26',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210660','FRM','梁婷招','2018-06-06 17:43:28',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210661','FRM','梁婷招','2018-06-06 17:43:29',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210662','FRM','梁婷招','2018-06-06 17:43:31',0,9975.66,1695.86,11671.5,9975.66,1695.86,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210664','FRM','梁婷招','2018-06-06 17:43:34',0,9998.76,1699.8,11698.6,9998.76,1699.8,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210666','FRM','梁婷招','2018-06-06 17:43:37',0,6496.13,1104.34,7600.47,6496.13,1104.34,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210667','FRM','梁婷招','2018-06-06 17:43:38',0,9975.42,1695.82,11671.2,9975.42,1695.82,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210668','FRM','梁婷招','2018-06-06 17:43:40',0,9978.27,1696.3,11674.6,9978.27,1696.3,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606006','4403174130','11210669','FRM','梁婷招','2018-06-06 17:43:41',0,9999.78,1699.98,11699.8,9999.78,1699.98,'YSFP-ZP-00002784、YSFP-ZP-00002785、YSFP-ZP-00002987、YSFP-ZP-00002988、YSFP-ZP-00002989、YSFP-ZP-00002965、YSFP-ZP-00003049',1),('20180606007','4403174130','11210670','FRM','梁婷招','2018-06-06 18:03:14',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210671','FRM','梁婷招','2018-06-06 18:03:15',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210672','FRM','梁婷招','2018-06-06 18:03:17',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210673','FRM','梁婷招','2018-06-06 18:03:18',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210674','FRM','梁婷招','2018-06-06 18:03:21',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210675','FRM','梁婷招','2018-06-06 18:03:23',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210676','FRM','梁婷招','2018-06-06 18:03:25',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606007','4403174130','11210677','FRM','梁婷招','2018-06-06 18:03:26',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210678','FRM','梁婷招','2018-06-06 18:21:05',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210679','FRM','梁婷招','2018-06-06 18:21:07',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210680','FRM','梁婷招','2018-06-06 18:21:09',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210681','FRM','梁婷招','2018-06-06 18:21:11',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210682','FRM','梁婷招','2018-06-06 18:21:12',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210683','FRM','梁婷招','2018-06-06 18:21:14',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210684','FRM','梁婷招','2018-06-06 18:21:15',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210685','FRM','梁婷招','2018-06-06 18:21:18',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210686','FRM','梁婷招','2018-06-06 18:21:19',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210687','FRM','梁婷招','2018-06-06 18:21:21',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210688','FRM','梁婷招','2018-06-06 18:21:22',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210689','FRM','梁婷招','2018-06-06 18:21:24',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210690','FRM','梁婷招','2018-06-06 18:21:26',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210691','FRM','梁婷招','2018-06-06 18:21:27',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210692','FRM','梁婷招','2018-06-06 18:21:28',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210693','FRM','梁婷招','2018-06-06 18:21:30',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210694','FRM','梁婷招','2018-06-06 18:21:31',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210695','FRM','梁婷招','2018-06-06 18:21:33',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210696','FRM','梁婷招','2018-06-06 18:21:34',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210697','FRM','梁婷招','2018-06-06 18:21:36',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210698','FRM','梁婷招','2018-06-06 18:21:37',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210699','FRM','梁婷招','2018-06-06 18:21:39',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210700','FRM','梁婷招','2018-06-06 18:21:40',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210701','FRM','梁婷招','2018-06-06 18:21:42',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210702','FRM','梁婷招','2018-06-06 18:21:43',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210703','FRM','梁婷招','2018-06-06 18:39:56',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210704','FRM','梁婷招','2018-06-06 18:39:59',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210705','FRM','梁婷招','2018-06-06 18:40:00',0,9879.31,1580.69,11460,9879.31,1580.69,'YSFP-ZP-00003028',1),('20180606008','4403174130','11210706','FRM','梁婷招','2018-06-06 18:40:02',0,6586.22,1053.78,7640,6586.22,1053.78,'YSFP-ZP-00003028',1),('20180606009','4403174130','11210707','FRM','梁婷招','2018-06-07 10:40:51',0,9994.02,1698.98,11693,9994.02,1698.98,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210708','FRM','梁婷招','2018-06-07 10:40:54',0,9976,1695.92,11671.9,9976,1695.92,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210709','FRM','梁婷招','2018-06-07 10:40:56',0,9872.72,1678.36,11551.1,9872.72,1678.36,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210710','FRM','梁婷招','2018-06-07 10:40:57',0,9998.87,1699.81,11698.7,9998.87,1699.81,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210711','FRM','梁婷招','2018-06-07 10:40:59',0,9998.27,1699.71,11698,9998.27,1699.71,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210712','FRM','梁婷招','2018-06-07 10:41:00',0,9832.83,1671.58,11504.4,9832.83,1671.58,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210713','FRM','梁婷招','2018-06-07 10:41:03',0,9998.71,1699.77,11698.5,9998.71,1699.77,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210714','FRM','梁婷招','2018-06-07 10:41:05',0,9953.87,1692.15,11646,9953.87,1692.15,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210715','FRM','梁婷招','2018-06-07 10:41:06',0,9985.33,1697.49,11682.8,9985.33,1697.49,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210716','FRM','梁婷招','2018-06-07 10:41:08',0,9998.93,1699.83,11698.8,9998.93,1699.83,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210717','FRM','梁婷招','2018-06-07 10:41:10',0,9999.76,1699.94,11699.7,9999.76,1699.94,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210718','FRM','梁婷招','2018-06-07 10:41:11',0,9996.5,1699.41,11695.9,9996.5,1699.41,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210719','FRM','梁婷招','2018-06-07 10:41:13',0,9992.52,1698.71,11691.2,9992.52,1698.71,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180606009','4403174130','11210720','FRM','梁婷招','2018-06-07 10:41:15',0,8506.45,1446.11,9952.56,8506.45,1446.11,'YSFP-ZP-00002810、YSFP-ZP-00002811、YSFP-ZP-00002812、YSFP-ZP-00002813、YSFP-ZP-00002814、YSFP-ZP-00002815、YSFP-ZP-00002990、YSFP-ZP-00002992、YSFP-ZP-00003110',1),('20180607020','4403174130','11210796','FRM','梁婷招','2018-06-07 18:05:28',0,1341.88,228.12,1570,1341.88,228.12,'YSFP-ZP-00002703',1),('20180607021','4403174130','11210797','FRM','梁婷招','2018-06-07 18:17:01',0,5696.12,911.38,6607.5,5696.12,911.38,'YSFP-ZP-00002930、YSFP-ZP-00003099',1),('20180607021','4403174130','11210798','FRM','梁婷招','2018-06-07 18:17:03',0,9998.57,1599.78,11598.3,9998.57,1599.78,'YSFP-ZP-00002930、YSFP-ZP-00003099',1),('20180607021','4403174130','11210799','FRM','梁婷招','2018-06-07 18:17:04',0,9999.7,1599.95,11599.7,9999.7,1599.95,'YSFP-ZP-00002930、YSFP-ZP-00003099',1),('20180607022','4403174130','11210800','FRM','梁婷招','2018-06-07 18:23:51',0,9994.66,1599.14,11593.8,9994.66,1599.14,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210801','FRM','梁婷招','2018-06-07 18:23:53',0,9998.31,1599.73,11598,9998.31,1599.73,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210802','FRM','梁婷招','2018-06-07 18:23:54',0,9996.03,1599.37,11595.4,9996.03,1599.37,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210803','FRM','梁婷招','2018-06-07 18:23:56',0,9997.11,1599.54,11596.7,9997.11,1599.54,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210804','FRM','梁婷招','2018-06-07 18:23:58',0,9998.13,1599.7,11597.8,9998.13,1599.7,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210805','FRM','梁婷招','2018-06-07 18:23:59',0,6401.38,1024.22,7425.6,6401.38,1024.22,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210806','FRM','梁婷招','2018-06-07 18:24:01',0,9998.56,1599.76,11598.3,9998.56,1599.76,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607022','4403174130','11210807','FRM','梁婷招','2018-06-07 18:24:04',0,9999.44,1599.92,11599.4,9999.44,1599.92,'YSFP-ZP-00002850、YSFP-ZP-00002858',1),('20180607023','4403174130','11210808','FRM','梁婷招','2018-06-07 18:43:09',0,4423.08,751.92,5175,4423.08,751.92,'YSFP-ZP-00002593',1),('20180607024','4403174130','11210809','FRM','梁婷招','2018-06-07 19:00:37',0,4780.86,764.94,5545.8,4780.86,764.94,'YSFP-ZP-00002624、YSFP-ZP-00002669、YSFP-ZP-00002917、YSFP-ZP-00003010',1),('20180607024','4403174130','11210810','FRM','梁婷招','2018-06-07 19:00:39',0,9995.53,1599.27,11594.8,9995.53,1599.27,'YSFP-ZP-00002624、YSFP-ZP-00002669、YSFP-ZP-00002917、YSFP-ZP-00003010',1),('2018060801','4403174130','11210814','FRM','梁婷招','2018-06-08 12:48:26',0,2833.43,453.35,3286.78,2833.43,453.35,'YSFP-ZP-00002639、YSFP-ZP-00002794',1),('2018060802','4403174130','11210812','FRM','梁婷招','2018-06-08 12:48:21',0,4704.27,799.73,5504,4704.27,799.73,'YSFP-ZP-00003138',1),('2018060803','4403174130','11210813','FRM','梁婷招','2018-06-08 12:48:25',0,3960.85,673.35,4634.2,3960.85,673.35,'YSFP-ZP-00002634',1),('2018060804','4403174130','11210815','FRM','梁婷招','2018-06-08 12:48:28',0,9999.26,1599.89,11599.2,9999.26,1599.89,'YSFP-ZP-00003140',1),('2018060804','4403174130','11210816','FRM','梁婷招','2018-06-08 12:48:29',0,9836.94,1573.91,11410.8,9836.94,1573.91,'YSFP-ZP-00003140',1),('2018060807','4403174130','11210839','FRM','梁婷招','2018-06-08 15:43:46',0,2805.47,448.87,3254.34,2805.47,448.87,'YSFP-ZP-00002688',1),('2018060807','4403174130','11210841','FRM','梁婷招','2018-06-08 15:43:49',0,9995.74,1599.32,11595.1,9995.74,1599.32,'YSFP-ZP-00002688',1),('2018060811','4403174130','11210842','FRM','梁婷招','2018-06-08 15:43:50',0,5125.86,820.14,5946,5125.86,820.14,'YSFP-ZP-00002956',1),('2018060812','4403174130','11210840','FRM','梁婷招','2018-06-08 15:43:47',0,3736.31,635.17,4371.48,3736.31,635.17,'YSFP-ZP-00002879',1),('2018060813','4403174130','11210843','FRM','梁婷招','2018-06-08 15:43:52',0,3897.43,662.57,4560,3897.43,662.57,'',1),('2018060813','4403174130','11210844','FRM','梁婷招','2018-06-08 15:43:54',0,9991.45,1698.55,11690,9991.45,1698.55,'',1),('2018060814','4403174130','11210852','FRM','梁婷招','2018-06-08 17:06:25',0,9848.09,1575.69,11423.8,9848.09,1575.69,'YSFP-ZP-00002955',1),('2018060815','4403174130','11210845','FRM','梁婷招','2018-06-08 17:06:13',0,7940.33,1270.45,9210.78,7940.33,1270.45,'YSFP-ZP-00002932',1),('2018060815','4403174130','11210850','FRM','梁婷招','2018-06-08 17:06:22',0,9999.1,1599.86,11599,9999.1,1599.86,'YSFP-ZP-00002932',1),('2018060816','4403174130','11210846','FRM','梁婷招','2018-06-08 17:06:16',0,9997.59,1599.61,11597.2,9997.59,1599.61,'YSFP-ZP-00003094',1),('2018060816','4403174130','11210847','FRM','梁婷招','2018-06-08 17:06:18',0,9997.59,1599.61,11597.2,9997.59,1599.61,'YSFP-ZP-00003094',1),('2018060816','4403174130','11210848','FRM','梁婷招','2018-06-08 17:06:19',0,9999.22,1599.88,11599.1,9999.22,1599.88,'YSFP-ZP-00003094',1),('2018060816','4403174130','11210849','FRM','梁婷招','2018-06-08 17:06:20',0,2100.92,336.14,2437.06,2100.92,336.14,'YSFP-ZP-00003094',1),('2018060816','4403174130','11210851','FRM','梁婷招','2018-06-08 17:06:24',0,9994.68,1599.16,11593.8,9994.68,1599.16,'YSFP-ZP-00003094',1),('2018061103','4403174130','11210901','FRM','梁婷招','2018-06-11 18:40:53',0,9994.66,1599.14,11593.8,9994.66,1599.14,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210902','FRM','梁婷招','2018-06-11 18:40:56',0,9994.66,1599.14,11593.8,9994.66,1599.14,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210903','FRM','梁婷招','2018-06-11 18:40:58',0,4799.14,767.86,5567,4799.14,767.86,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210904','FRM','梁婷招','2018-06-11 18:41:00',0,9996.38,1599.42,11595.8,9996.38,1599.42,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210905','FRM','梁婷招','2018-06-11 18:41:01',0,9999.96,1600,11600,9999.96,1600,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210906','FRM','梁婷招','2018-06-11 18:41:03',0,9998.88,1599.82,11598.7,9998.88,1599.82,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210907','FRM','梁婷招','2018-06-11 18:41:05',0,9998.92,1599.82,11598.7,9998.92,1599.82,'YSFP-ZP-00003144',1),('2018061103','4403174130','11210908','FRM','梁婷招','2018-06-11 18:41:07',0,9997.57,1599.63,11597.2,9997.57,1599.63,'YSFP-ZP-00003144',1),('2018061104','4403173320','04313019','FRM','梁婷招','2018-06-11 18:56:48',0,40.41,6.47,46.88,40.41,6.47,'YSFP-PP-00000102',1),('2018061201','4403174130','11210909','FRM','梁婷招','2018-06-12 10:45:54',0,5533.54,940.7,6474.24,5533.54,940.7,'YSFP-ZP-00002261、YSFP-ZP-00002465、YSFP-ZP-00002517',1),('2018061201','4403174130','11210910','FRM','梁婷招','2018-06-12 10:46:02',0,9999.37,1699.89,11699.3,9999.37,1699.89,'YSFP-ZP-00002261、YSFP-ZP-00002465、YSFP-ZP-00002517',1),('2018061202','4403174130','11210911','FRM','梁婷招','2018-06-12 10:54:10',0,9998.8,1599.8,11598.6,9998.8,1599.8,'YSFP-ZP-00002832、YSFP-ZP-00003156',1),('2018061202','4403174130','11210912','FRM','梁婷招','2018-06-12 10:54:11',0,9995.51,1599.29,11594.8,9995.51,1599.29,'YSFP-ZP-00002832、YSFP-ZP-00003156',1),('2018061202','4403174130','11210913','FRM','梁婷招','2018-06-12 10:54:13',0,4638.45,742.15,5380.6,4638.45,742.15,'YSFP-ZP-00002832、YSFP-ZP-00003156',1),('2018061203','4403174130','11210914','FRM','梁婷招','2018-06-12 11:11:35',0,9999.87,1699.97,11699.8,9999.87,1699.97,'YSFP-ZP-00003109',1),('2018061203','4403174130','11210915','FRM','梁婷招','2018-06-12 11:11:37',0,9692.45,1647.71,11340.2,9692.45,1647.71,'YSFP-ZP-00003109',1),('2018061205','4403174130','11210916','FRM','梁婷招','2018-06-12 14:38:28',0,9984.62,1697.38,11682,9984.62,1697.38,'YSFP-ZP-00003169',1),('2018061205','4403174130','11210917','FRM','梁婷招','2018-06-12 14:38:32',0,3520,598.4,4118.4,3520,598.4,'YSFP-ZP-00003169',1),('2018061206','4403174130','11210918','FRM','梁婷招','2018-06-12 14:38:34',0,185.9,31.6,217.5,185.9,31.6,'YSFP-ZP-00002780',1),('2018061207','4403174130','11210919','FRM','梁婷招','2018-06-12 14:38:36',0,259.23,44.07,303.3,259.23,44.07,'YSFP-ZP-00003117',1),('2018061208','4403174130','11210924','FRM','梁婷招','2018-06-12 17:10:36',0,1511.54,256.96,1768.5,1511.54,256.96,'YSFP-ZP-00003120、YSFP-ZP-00003121',1),('2018061209','4403174130','11210920','FRM','梁婷招','2018-06-12 14:38:37',0,4723.08,802.92,5526,4723.08,802.92,'YSFP-ZP-00003170',1),('2018061210','4403174130','11210921','FRM','梁婷招','2018-06-12 14:38:39',0,3461.54,588.46,4050,3461.54,588.46,'YSFP-ZP-00002951',1),('2018061211','4403174130','11210922','FRM','梁婷招','2018-06-12 17:10:31',0,1880.34,319.66,2200,1880.34,319.66,'YSFP-ZP-00003123',1),('2018061212','4403174130','11210923','FRM','梁婷招','2018-06-12 17:10:34',0,1791.45,304.55,2096,1791.45,304.55,'YSFP-ZP-00003168',1),('2018061213','4403174130','11210925','FRM','梁婷招','2018-06-12 17:10:37',0,9993.67,1698.93,11692.6,9993.67,1698.93,'YSFP-ZP-00003169',1),('2018061214','4403174130','11210926','FRM','梁婷招','2018-06-12 18:00:43',0,9996.01,1599.36,11595.4,9996.01,1599.36,'YSFP-ZP-00003164、YSFP-ZP-00003163',1),('2018061214','4403174130','11210927','FRM','梁婷招','2018-06-12 18:00:47',0,5392.26,862.77,6255.03,5392.26,862.77,'YSFP-ZP-00003164、YSFP-ZP-00003163',1),('2018061215','4403174130','11210928','FRM','梁婷招','2018-06-12 18:00:49',0,4406.9,705.1,5112,4406.9,705.1,'YSFP-ZP-00002822',1),('2018061216','4403174130','11210929','FRM','梁婷招','2018-06-12 18:00:50',0,279.49,47.51,327,279.49,47.51,'YSFP-ZP-00003084',1),('2018061219','4403174130','11210933','FRM','梁婷招','2018-06-12 18:18:10',0,9990,1598.4,11588.4,9990,1598.4,'YSFP-ZP-00003164',1),('2018061220','4403174130','11210930','FRM','梁婷招','2018-06-12 18:18:04',0,9996.38,1599.42,11595.8,9996.38,1599.42,'YSFP-ZP-00002870',1),('2018061220','4403174130','11210931','FRM','梁婷招','2018-06-12 18:18:07',0,9141.55,1462.65,10604.2,9141.55,1462.65,'YSFP-ZP-00002870',1),('2018061221','4403174130','11210932','FRM','梁婷招','2018-06-12 18:18:08',0,141.03,23.97,165,141.03,23.97,'YSFP-ZP-00002472',1),('20180620001','4403174130','18334664','FRM','梁婷招','2018-06-20 15:01:21',0,9993.1,1598.9,11592,9993.1,1598.9,'YSFP-ZP-00003175',1),('20180620001','4403174130','18334665','FRM','梁婷招','2018-06-20 15:01:24',0,9993.1,1598.9,11592,9993.1,1598.9,'YSFP-ZP-00003175',1),('20180620001','4403174130','18334666','FRM','梁婷招','2018-06-20 15:01:25',0,289.66,46.34,336,289.66,46.34,'YSFP-ZP-00003175',1),('20180620002','4403174130','18334667','FRM','梁婷招','2018-06-20 15:01:27',0,9998.53,1599.77,11598.3,9998.53,1599.77,'YSFP-ZP-00003029',1),('20180620002','4403174130','18334668','FRM','梁婷招','2018-06-20 15:01:28',0,863.54,138.16,1001.7,863.54,138.16,'YSFP-ZP-00003029',1),('20180620003','4403174130','18334669','FRM','梁婷招','2018-06-20 15:01:30',0,9984.91,1597.59,11582.5,9984.91,1597.59,'YSFP-ZP-00003223',1),('20180620003','4403174130','18334670','FRM','梁婷招','2018-06-20 15:01:31',0,9984.91,1597.59,11582.5,9984.91,1597.59,'YSFP-ZP-00003223',1),('20180620003','4403174130','18334671','FRM','梁婷招','2018-06-20 15:01:32',0,9984.91,1597.59,11582.5,9984.91,1597.59,'YSFP-ZP-00003223',1),('20180620003','4403174130','18334672','FRM','梁婷招','2018-06-20 15:01:34',0,4453.44,712.56,5166,4453.44,712.56,'YSFP-ZP-00003223',1),('20180620003','4403174130','18334673','FRM','梁婷招','2018-06-20 15:01:35',0,9988.38,1598.12,11586.5,9988.38,1598.12,'YSFP-ZP-00003223',1),('20180620004','4403174130','18334674','FRM','梁婷招','2018-06-20 15:19:37',0,9993.1,1598.9,11592,9993.1,1598.9,'YSFP-ZP-00003269',1),('20180620004','4403174130','18334675','FRM','梁婷招','2018-06-20 15:19:40',0,9993.1,1598.9,11592,9993.1,1598.9,'YSFP-ZP-00003269',1),('20180620004','4403174130','18334676','FRM','梁婷招','2018-06-20 15:19:42',0,4151.73,664.27,4816,4151.73,664.27,'YSFP-ZP-00003269',1),('20180620005','4403174130','18334677','FRM','梁婷招','2018-06-20 15:19:44',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334678','FRM','梁婷招','2018-06-20 15:19:45',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334679','FRM','梁婷招','2018-06-20 15:19:46',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334680','FRM','梁婷招','2018-06-20 15:19:48',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334681','FRM','梁婷招','2018-06-20 15:19:49',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334682','FRM','梁婷招','2018-06-20 15:19:51',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334683','FRM','梁婷招','2018-06-20 15:19:52',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334684','FRM','梁婷招','2018-06-20 15:19:54',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334685','FRM','梁婷招','2018-06-20 15:19:55',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003190',1),('20180620005','4403174130','18334686','FRM','梁婷招','2018-06-20 15:19:56',0,4874.12,779.88,5654,4874.12,779.88,'YSFP-ZP-00003190',1),('20180620007','4403174130','18334688','FRM','梁婷招','2018-06-20 16:04:39',0,324.61,51.94,376.55,324.61,51.94,'YSFP-ZP-00003248',1),('20180620008','4403174130','18334689','FRM','梁婷招','2018-06-20 16:04:42',0,6783.97,1085.43,7869.4,6783.97,1085.43,'YSFP-ZP-00003249',1),('20180620009','4403174130','18334690','FRM','梁婷招','2018-06-20 16:04:43',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334691','FRM','梁婷招','2018-06-20 16:04:44',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334692','FRM','梁婷招','2018-06-20 16:04:46',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334693','FRM','梁婷招','2018-06-20 16:04:47',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334694','FRM','梁婷招','2018-06-20 16:04:48',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334695','FRM','梁婷招','2018-06-20 16:04:50',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334696','FRM','梁婷招','2018-06-20 16:04:51',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334697','FRM','梁婷招','2018-06-20 16:04:52',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334698','FRM','梁婷招','2018-06-20 16:04:54',0,9997.45,1599.59,11597,9997.45,1599.59,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334699','FRM','梁婷招','2018-06-20 16:04:55',0,9268.97,1483.03,10752,9268.97,1483.03,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334700','FRM','梁婷招','2018-06-20 16:04:56',0,9268.97,1483.03,10752,9268.97,1483.03,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334701','FRM','梁婷招','2018-06-20 16:04:58',0,9268.97,1483.03,10752,9268.97,1483.03,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334702','FRM','梁婷招','2018-06-20 16:04:59',0,6179.29,988.71,7168,6179.29,988.71,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334703','FRM','梁婷招','2018-06-20 16:05:00',0,8238.26,1318.14,9556.4,8238.26,1318.14,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620009','4403174130','18334704','FRM','梁婷招','2018-06-20 16:05:02',0,9995.9,1599.34,11595.2,9995.9,1599.34,'YSFP-ZP-00003182、YSFP-ZP-00003270',1),('20180620010','4403174130','18334705','FRM','梁婷招','2018-06-20 16:40:28',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334706','FRM','梁婷招','2018-06-20 16:40:29',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334707','FRM','梁婷招','2018-06-20 16:40:31',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334708','FRM','梁婷招','2018-06-20 16:40:32',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334709','FRM','梁婷招','2018-06-20 16:40:33',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334710','FRM','梁婷招','2018-06-20 16:40:35',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334711','FRM','梁婷招','2018-06-20 16:40:36',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334712','FRM','梁婷招','2018-06-20 16:40:38',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334713','FRM','梁婷招','2018-06-20 16:40:39',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620010','4403174130','18334714','FRM','梁婷招','2018-06-20 16:40:41',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334715','FRM','梁婷招','2018-06-20 16:56:28',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334716','FRM','梁婷招','2018-06-20 16:56:31',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334717','FRM','梁婷招','2018-06-20 16:56:33',0,9636.21,1541.79,11178,9636.21,1541.79,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334718','FRM','梁婷招','2018-06-20 16:56:34',0,9636.2,1541.8,11178,9636.2,1541.8,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334719','FRM','梁婷招','2018-06-20 16:56:36',0,1769.48,283.12,2052.6,1769.48,283.12,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334720','FRM','梁婷招','2018-06-20 16:56:37',0,9762.07,1561.93,11324,9762.07,1561.93,'YSFP-ZP-00003302',1),('20180620011','4403174130','18334721','FRM','梁婷招','2018-06-20 16:56:39',0,9995.68,1599.32,11595,9995.68,1599.32,'YSFP-ZP-00003302',1),('20180620012','4403174130','18334730','FRM','梁婷招','2018-06-20 17:59:21',0,7969.84,1275.16,9245,7969.84,1275.16,'YSFP-ZP-00003100、YSFP-ZP-00003308',1),('20180620013','4403174130','18334722','FRM','梁婷招','2018-06-20 17:59:08',0,2293.11,366.89,2660,2293.11,366.89,'YSFP-ZP-00003229',1),('20180620013','4403174130','18334728','FRM','梁婷招','2018-06-20 17:59:18',0,9991.38,1598.62,11590,9991.38,1598.62,'YSFP-ZP-00003229',1),('20180620014','4403174130','18334723','FRM','梁婷招','2018-06-20 17:59:11',0,1890.52,302.48,2193,1890.52,302.48,'YSFP-ZP-00002859',1),('20180620014','4403174130','18334729','FRM','梁婷招','2018-06-20 17:59:20',0,9964.66,1594.34,11559,9964.66,1594.34,'YSFP-ZP-00002859',1),('20180620015','4403174130','18334724','FRM','梁婷招','2018-06-20 17:59:12',0,9993.79,1599.01,11592.8,9993.79,1599.01,'YSFP-ZP-00003314',1),('20180620015','4403174130','18334725','FRM','梁婷招','2018-06-20 17:59:14',0,9993.79,1599.01,11592.8,9993.79,1599.01,'YSFP-ZP-00003314',1),('20180620015','4403174130','18334726','FRM','梁婷招','2018-06-20 17:59:15',0,9993.79,1599.01,11592.8,9993.79,1599.01,'YSFP-ZP-00003314',1),('20180620015','4403174130','18334727','FRM','梁婷招','2018-06-20 17:59:17',0,4880.7,780.9,5661.6,4880.7,780.9,'YSFP-ZP-00003314',1),('20180620016','4403174130','18334731','FRM','梁婷招','2018-06-20 18:28:05',0,8568.97,1371.03,9940,8568.97,1371.03,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334732','FRM','梁婷招','2018-06-20 18:28:08',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334733','FRM','梁婷招','2018-06-20 18:28:09',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334734','FRM','梁婷招','2018-06-20 18:28:11',0,9056.89,1449.11,10506,9056.89,1449.11,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334735','FRM','梁婷招','2018-06-20 18:28:12',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334736','FRM','梁婷招','2018-06-20 18:28:14',0,2865.52,458.48,3324,2865.52,458.48,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620016','4403174130','18334737','FRM','梁婷招','2018-06-20 18:28:15',0,9987.93,1598.07,11586,9987.93,1598.07,'YSFP-ZP-00003083、YSFP-ZP-00003287',1),('20180620017','4403174130','18334738','FRM','梁婷招','2018-06-21 11:21:43',0,9936.45,1589.83,11526.3,9936.45,1589.83,'YSFP-ZP-00003019',1),('20180620017','4403174130','18334739','FRM','梁婷招','2018-06-21 11:21:49',0,3536.7,565.87,4102.57,3536.7,565.87,'YSFP-ZP-00003019',1),('20180620018','4403174130','18334740','FRM','梁婷招','2018-06-21 11:25:47',0,9999.87,1599.98,11599.8,9999.87,1599.98,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334741','FRM','梁婷招','2018-06-21 11:25:49',0,9999.87,1599.98,11599.8,9999.87,1599.98,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334742','FRM','梁婷招','2018-06-21 11:25:50',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334743','FRM','梁婷招','2018-06-21 11:25:52',0,9937.5,1590,11527.5,9937.5,1590,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334744','FRM','梁婷招','2018-06-21 11:25:53',0,375,60,435,375,60,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334752','FRM','梁婷招','2018-06-21 11:26:05',0,9997.93,1599.67,11597.6,9997.93,1599.67,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334755','FRM','梁婷招','2018-06-21 11:26:09',0,9999.91,1599.99,11599.9,9999.91,1599.99,'YSFP-ZP-00002953',1),('20180620018','4403174130','18334756','FRM','梁婷招','2018-06-21 11:26:10',0,9984.05,1597.45,11581.5,9984.05,1597.45,'YSFP-ZP-00002953',1),('20180620019','4403174130','18334745','FRM','梁婷招','2018-06-21 11:25:55',0,452.58,72.42,525,452.58,72.42,'YSFP-ZP-00003001',1),('20180620019','4403174130','18334753','FRM','梁婷招','2018-06-21 11:26:06',0,9990.52,1598.48,11589,9990.52,1598.48,'YSFP-ZP-00003001',1),('20180620020','4403174130','18334746','FRM','梁婷招','2018-06-21 11:25:56',0,9997.5,1599.6,11597.1,9997.5,1599.6,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334747','FRM','梁婷招','2018-06-21 11:25:58',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334748','FRM','梁婷招','2018-06-21 11:25:59',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334749','FRM','梁婷招','2018-06-21 11:26:01',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334750','FRM','梁婷招','2018-06-21 11:26:02',0,9994.83,1599.17,11594,9994.83,1599.17,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334751','FRM','梁婷招','2018-06-21 11:26:03',0,3489.64,558.36,4048,3489.64,558.36,'YSFP-ZP-00003011',1),('20180620020','4403174130','18334754','FRM','梁婷招','2018-06-21 11:26:07',0,9981.81,1597.09,11578.9,9981.81,1597.09,'YSFP-ZP-00003011',1),('20180620021','4403174130','18334757','FRM','梁婷招','2018-06-21 11:26:12',0,6194.67,991.15,7185.82,6194.67,991.15,'YSFP-ZP-00003014、YSFP-ZP-00003018',1),('20180620022','4403174130','18334768','FRM','梁婷招','2018-06-21 12:10:03',0,9997.76,1599.64,11597.4,9997.76,1599.64,'YSFP-ZP-00003021',1),('20180620022','4403174130','18334769','FRM','梁婷招','2018-06-21 12:10:04',0,7460.17,1193.63,8653.8,7460.17,1193.63,'YSFP-ZP-00003021',1),('20180620022','4403174130','18334773','FRM','梁婷招','2018-06-21 12:10:10',0,9994.69,1599.16,11593.8,9994.69,1599.16,'YSFP-ZP-00003021',1),('20180620023','4403174130','18334774','FRM','梁婷招','2018-06-21 12:10:11',0,7786.64,1245.86,9032.5,7786.64,1245.86,'YSFP-ZP-00003022、YSFP-ZP-00003268',1),('20180620024','4403174130','18334758','FRM','梁婷招','2018-06-21 12:09:46',0,7945.22,1271.24,9216.46,7945.22,1271.24,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334759','FRM','梁婷招','2018-06-21 12:09:49',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334760','FRM','梁婷招','2018-06-21 12:09:51',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334761','FRM','梁婷招','2018-06-21 12:09:52',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334762','FRM','梁婷招','2018-06-21 12:09:54',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334763','FRM','梁婷招','2018-06-21 12:09:55',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334764','FRM','梁婷招','2018-06-21 12:09:57',0,7983.02,1277.28,9260.3,7983.02,1277.28,'YSFP-ZP-00003000',1),('20180620024','4403174130','18334765','FRM','梁婷招','2018-06-21 12:09:58',0,3991.49,638.66,4630.15,3991.49,638.66,'YSFP-ZP-00003000',1),('20180620025','4403174130','18334766','FRM','梁婷招','2018-06-21 12:10:00',0,9996.72,1599.48,11596.2,9996.72,1599.48,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334767','FRM','梁婷招','2018-06-21 12:10:01',0,9996.72,1599.48,11596.2,9996.72,1599.48,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334770','FRM','梁婷招','2018-06-21 12:10:06',0,9998.97,1599.83,11598.8,9998.97,1599.83,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334771','FRM','梁婷招','2018-06-21 12:10:07',0,9991.91,1598.71,11590.6,9991.91,1598.71,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334772','FRM','梁婷招','2018-06-21 12:10:08',0,4562.58,730.02,5292.6,4562.58,730.02,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334775','FRM','梁婷招','2018-06-21 12:10:13',0,9935.34,1589.66,11525,9935.34,1589.66,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334776','FRM','梁婷招','2018-06-21 12:10:14',0,9997.32,1599.58,11596.9,9997.32,1599.58,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334777','FRM','梁婷招','2018-06-21 12:10:16',0,9973.55,1595.77,11569.3,9973.55,1595.77,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334778','FRM','梁婷招','2018-06-21 12:10:17',0,9992.4,1598.78,11591.2,9992.4,1598.78,'YSFP-ZP-00003041',1),('20180620025','4403174130','18334779','FRM','梁婷招','2018-06-21 12:10:19',0,9992.58,1598.82,11591.4,9992.58,1598.82,'YSFP-ZP-00003041',1),('20180621001','4403173320','12927189','FRM','梁婷招','2018-06-21 16:12:23',0,664.91,106.39,771.3,664.91,106.39,'YSFP-PP-00000172',1),('20180621002','4403173320','12927178','FRM','梁婷招','2018-06-21 16:12:00',0,404.05,64.65,468.7,404.05,64.65,'YSFP-ZP-00003333',1),('20180621003','4403173320','12927179','FRM','梁婷招','2018-06-21 16:12:08',0,523.24,83.72,606.96,523.24,83.72,'YSFP-PP-00000149',1),('20180621004','4403173320','12927180','FRM','梁婷招','2018-06-21 16:12:09',0,130.78,20.93,151.71,130.78,20.93,'YSFP-PP-00000173',1),('20180621005','4403173320','12927190','FRM','梁婷招','2018-06-21 16:12:25',0,1212.93,194.07,1407,1212.93,194.07,'YSFP-PP-00000148',1),('20180621006','4403173320','12927181','FRM','梁婷招','2018-06-21 16:12:11',0,1376.97,220.31,1597.28,1376.97,220.31,'YSFP-PP-00000162',1),('20180621007','4403173320','12927191','FRM','梁婷招','2018-06-21 16:12:27',0,661.42,105.83,767.25,661.42,105.83,'YSFP-PP-00000167、YSFP-PP-00000168',1),('20180621008','4403173320','12927182','FRM','梁婷招','2018-06-21 16:12:13',0,795.41,127.27,922.68,795.41,127.27,'YSFP-PP-00000123',1),('20180621009','4403173320','12927183','FRM','梁婷招','2018-06-21 16:12:15',0,161.03,25.77,186.8,161.03,25.77,'YSFP-PP-00000179',1),('20180621010','4403173320','12927184','FRM','梁婷招','2018-06-21 16:12:16',0,6520.69,1043.31,7564,6520.69,1043.31,'YSFP-PP-00000171',1),('20180621011','4403173320','12927185','FRM','梁婷招','2018-06-21 16:12:18',0,73.91,11.82,85.73,73.91,11.82,'YSFP-PP-00000107',1),('20180621012','4403173320','12927192','FRM','梁婷招','2018-06-21 16:12:28',0,79.01,12.65,91.66,79.01,12.65,'YSFP-PP-00000118、YSFP-PP-00000112',1),('20180621013','4403173320','12927186','FRM','梁婷招','2018-06-21 16:12:19',0,154.21,24.67,178.88,154.21,24.67,'YSFP-PP-00000114',1),('20180621014','4403173320','12927187','FRM','梁婷招','2018-06-21 16:12:21',0,317.43,50.79,368.22,317.43,50.79,'YSFP-PP-00000116',1),('20180621015','4403173320','12927188','FRM','梁婷招','2018-06-21 16:12:22',0,308.88,49.42,358.3,308.88,49.42,'YSFP-PP-00000120',1),('20180621016','4403173320','12927195','FRM','梁婷招','2018-06-21 17:03:00',0,500.69,80.11,580.8,500.69,80.11,'YSFP-PP-00000172',1),('20180621017','4403173320','12927196','FRM','梁婷招','2018-06-21 17:03:03',0,164.55,26.33,190.88,164.55,26.33,'YSFP-PP-00000178',1),('20180621018','4403173320','12927200','FRM','梁婷招','2018-06-21 17:03:09',0,349.16,55.86,405.02,349.16,55.86,'YSFP-PP-00000165',1),('20180621019','4403173320','12927197','FRM','梁婷招','2018-06-21 17:03:05',0,565,90.4,655.4,565,90.4,'YSFP-PP-00000176',1),('20180621020','4403173320','12927198','FRM','梁婷招','2018-06-21 17:03:06',0,590.52,94.48,685,590.52,94.48,'YSFP-PP-00000121',1),('20180621021','4403173320','12927199','FRM','梁婷招','2018-06-21 17:03:08',0,2931.04,468.96,3400,2931.04,468.96,'YSFP-ZP-00003157',1),('20180625001','4403174130','18334843','FRM','梁婷招','2018-06-25 12:36:57',0,9962.76,1594.04,11556.8,9962.76,1594.04,'YSFP-ZP-00003092',1),('20180625001','4403174130','18334844','FRM','梁婷招','2018-06-25 12:37:01',0,5323.28,851.72,6175,5323.28,851.72,'YSFP-ZP-00003092',1),('20180625001','4403174130','18334849','FRM','梁婷招','2018-06-25 12:37:10',0,9978.02,1596.48,11574.5,9978.02,1596.48,'YSFP-ZP-00003092',1),('20180625001','4403174130','18334850','FRM','梁婷招','2018-06-25 12:37:11',0,9719.82,1555.18,11275,9719.82,1555.18,'YSFP-ZP-00003092',1),('20180625001','4403174130','18334856','FRM','梁婷招','2018-06-25 12:37:22',0,9963.7,1594.2,11557.9,9963.7,1594.2,'YSFP-ZP-00003092',1),('20180625001','4403174130','18334858','FRM','梁婷招','2018-06-25 12:37:25',0,9953.28,1592.52,11545.8,9953.28,1592.52,'YSFP-ZP-00003092',1),('20180625002','4403174130','18334845','FRM','梁婷招','2018-06-25 12:37:03',0,9811.97,1668.03,11480,9811.97,1668.03,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334846','FRM','梁婷招','2018-06-25 12:37:05',0,4393.16,746.84,5140,4393.16,746.84,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334847','FRM','梁婷招','2018-06-25 12:37:07',0,9990.67,1698.41,11689.1,9990.67,1698.41,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334848','FRM','梁婷招','2018-06-25 12:37:08',0,610.26,103.74,714,610.26,103.74,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334851','FRM','梁婷招','2018-06-25 12:37:13',0,9989.74,1698.26,11688,9989.74,1698.26,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334852','FRM','梁婷招','2018-06-25 12:37:14',0,9805.13,1666.87,11472,9805.13,1666.87,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334853','FRM','梁婷招','2018-06-25 12:37:16',0,7419.66,1261.34,8681,7419.66,1261.34,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334854','FRM','梁婷招','2018-06-25 12:37:17',0,9670.59,1644.01,11314.6,9670.59,1644.01,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334855','FRM','梁婷招','2018-06-25 12:37:19',0,9911.11,1684.89,11596,9911.11,1684.89,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334857','FRM','梁婷招','2018-06-25 12:37:24',0,9964.78,1694.02,11658.8,9964.78,1694.02,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334859','FRM','梁婷招','2018-06-25 12:37:27',0,9993.04,1698.82,11691.9,9993.04,1698.82,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334860','FRM','梁婷招','2018-06-25 12:37:28',0,9989.75,1698.25,11688,9989.75,1698.25,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334861','FRM','梁婷招','2018-06-25 12:37:30',0,9977.78,1696.22,11674,9977.78,1696.22,'YSFP-ZP-00001937',1),('20180625002','4403174130','18334862','FRM','梁婷招','2018-06-25 12:37:32',0,9996.74,1699.44,11696.2,9996.74,1699.44,'YSFP-ZP-00001937',1),('20180626050','4403174130','18334960','FRM','梁婷招','2018-06-26 18:15:15',0,9996.44,1599.43,11595.9,9996.44,1599.43,'YSFP-ZP-00003393',1),('20180626050','4403174130','18334961','FRM','梁婷招','2018-06-26 18:15:18',0,694.94,111.19,806.13,694.94,111.19,'YSFP-ZP-00003393',1),('2018072001','4403181130','09670027','FRM','梁婷招','2018-07-20 15:47:53',0,9006.21,1440.99,10447.2,9006.21,1440.99,'YSFP-ZP-00002681',1),('2018072002','4403181130','09670028','FRM','梁婷招','2018-07-20 15:48:01',0,849.93,135.98,985.91,849.93,135.98,'YSFP-ZP-00002749',1),('2018072003','4403181130','09670029','FRM','梁婷招','2018-07-20 15:48:04',0,8203.56,1312.57,9516.13,8203.56,1312.57,'YSFP-ZP-00002712、YSFP-ZP-00002795、YSFP-ZP-00002972、YSFP-ZP-00003075、YSFP-ZP-00003295、YSFP-ZP-00003430、YSFP-ZP-00003509、YSFP-ZP-00003676',1),('51','4403182130','04950327','FRM','梁婷招','2018-10-12 17:00:52',0,816.11,130.59,946.7,816.11,130.59,'',1),('53','4403182130','04950403','FRM','梁婷招','2018-10-15 17:00:07',0,400.52,64.08,464.6,400.52,64.08,'',1),('54','4403182130','04950457','FRM','梁婷招','2018-10-16 11:33:38',0,1187.07,189.93,1377,1187.07,189.93,'',1),('55','4403182130','04950473','FRM','梁婷招','2018-10-16 12:44:33',0,172.94,27.67,200.61,172.94,27.67,'',1),('56','4403182130','04950474','FRM','梁婷招','2018-10-16 12:44:36',0,267.03,42.71,309.74,267.03,42.71,'',1),('57','4403182130','04950475','FRM','梁婷招','2018-10-16 12:44:38',0,297.93,47.67,345.6,297.93,47.67,'',1),('58','4403182130','04950525','FRM','梁婷招','2018-10-16 17:03:36',0,557.64,89.23,646.87,557.64,89.23,'',1),('62','4403182130','04950726','FRM','梁婷招','2018-10-18 16:52:30',0,155.72,24.91,180.63,155.72,24.91,'',1),('65','4403182130','04950918','FRM','梁婷招','2018-10-23 17:06:23',0,2242,358.7,2600.7,2242,358.7,'',1),('66','4403182130','04950919','FRM','梁婷招','2018-10-23 17:06:26',0,1124.14,179.86,1304,1124.14,179.86,'',1),('67','4403182130','04950922','FRM','梁婷招','2018-10-23 17:27:44',0,379.31,60.69,440,379.31,60.69,'',1),('68','4403182130','04950921','FRM','梁婷招','2018-10-23 17:27:41',0,322.41,51.59,374,322.41,51.59,'',1),('72','4403182130','04950982','FRM','梁婷招','2018-10-24 17:37:12',0,253.5,40.55,294.05,253.5,40.55,'',1),('73','4403182130','04950983','FRM','梁婷招','2018-10-24 17:37:15',0,211.2,33.8,245,211.2,33.8,'',1),('74','4403182130','04950988','FRM','梁婷招','2018-10-24 17:54:56',0,1725.86,276.14,2002,1725.86,276.14,'',1),('76','4403182130','04950989','FRM','梁婷招','2018-10-24 18:00:09',0,280.61,44.9,325.51,280.61,44.9,'',1),('88','4403182130','04951086','FRM','梁婷招','2018-10-29 18:53:35',0,1896.55,303.45,2200,1896.55,303.45,'',1),('89','4403182130','04951085','FRM','梁婷招','2018-10-29 18:53:31',0,310.34,49.66,360,310.34,49.66,'',1),('90','4403182130','04951146','FRM','梁婷招','2018-10-30 17:01:49',0,949.14,151.86,1101,949.14,151.86,'',1),('94','4403182130','04951205','FRM','梁婷招','2018-10-31 11:22:04',0,3446.33,551.39,3997.72,3446.33,551.39,'',1),('95','4403182130','04951206','FRM','梁婷招','2018-10-31 11:22:11',0,1342.76,214.84,1557.6,1342.76,214.84,'',1),('96','4403182130','04951207','FRM','梁婷招','2018-10-31 11:22:19',0,599.66,95.94,695.6,599.66,95.94,'',1),('IVC2018090733588','4403174320','05290096','FRM','管理员','2018-09-07 20:09:47',0,503.17,80.51,583.68,503.17,80.51,'',1),('IVC2018091759103','4403174320','05290103','FRM','梁婷招','2018-09-18 17:49:42',0,100.34,16.06,116.4,100.34,16.06,'',1),('IVC2018091789197','4403174320','05290104','FRM','梁婷招','2018-09-18 17:49:44',0,120.26,19.24,139.5,120.26,19.24,'',1),('IVC2018092893237','0440318001','05713226','FRM','邹育林','2018-09-29 10:46:58',0,14.63,2.34,16.97,14.63,2.34,'',1),('IVC2018092989849','0440318001','05713227','FRM','邹育林','2018-09-29 10:59:45',0,8.36,1.34,9.7,8.36,1.34,'',1),('IVC2018093082425','0440318001','05713228','FRM','邹育林','2018-09-30 11:46:14',0,711.12,113.78,824.9,711.12,113.78,'',1),('IVC2018100929726','0440318001','05713229','FRM','邹育林','2018-10-09 11:11:42',0,662.76,106.04,768.8,662.76,106.04,'',1),('IVC2018101090764','0440318001','05713230','FRM','邹育林','2018-10-10 18:30:28',0,180.47,28.88,209.35,180.47,28.88,'',1),('IVC2018101179266','0440318001','05713231','FRM','邹育林','2018-10-11 14:37:20',1,955.86,152.94,1108.8,955.86,152.94,'',1),('IVC2018101502454','0440318001','05713232','FRM','邹育林','2018-10-15 16:46:24',0,11.97,1.91,13.88,11.97,1.91,'',1),('IVC2018101727614','0440318001','05713233','FRM','邹育林','2018-10-17 19:27:15',0,210.34,33.66,244,210.34,33.66,'',1),('IVC2018101827069','0440318001','05713234','FRM','邹育林','2018-10-18 15:13:16',0,1742.62,278.84,2021.46,1742.62,278.84,'',1),('IVC2018101937023','0440318001','05713235','FRM','邹育林','2018-10-19 12:55:13',0,5997.33,959.57,6956.9,5997.33,959.57,'',1),('IVC2018101947248','0440318001','05713236','FRM','邹育林','2018-10-19 17:05:01',0,40.34,6.46,46.8,40.34,6.46,'',1),('IVC2018102300505','0440318001','05713238','FRM','邹育林','2018-10-23 18:08:28',0,11.67,1.86,13.53,11.67,1.86,'',1),('IVC2018102351684','0440318001','05713239','FRM','邹育林','2018-10-23 18:11:16',0,7.86,1.27,9.13,7.86,1.27,'',1),('IVC2018102390894','0440318001','05713237','FRM','邹育林','2018-10-23 18:03:55',0,7.88,1.27,9.15,7.88,1.27,'',1),('IVC2018102510556','0440318001','05713287','FRM','邹育林','2018-10-25 12:09:08',0,8.45,1.35,9.8,8.45,1.35,'',1),('IVC2018102537609','0440318001','05713288','FRM','邹育林','2018-10-25 12:10:16',0,8.83,1.41,10.24,8.83,1.41,'',1),('IVC2018102552170','0440318001','05713290','FRM','邹育林','2018-10-25 18:57:06',0,98.27,15.73,114,98.27,15.73,'',1),('IVC2018102555504','0440318001','05713289','FRM','邹育林','2018-10-25 14:56:49',0,88.53,14.16,102.69,88.53,14
\ No newline at end of file
load/__pycache__/load_hbase.cpython-36.pyc 0 → 100644
No preview for this file type
load/__pycache__/load_mysql.cpython-36.pyc 0 → 100644
No preview for this file type
load/load_hbase.py 0 → 100644
from utils.date_handler import DateHandler
from utils.msg_handler import MsgHandler
from utils.log_handler import LogHandler
import subprocess
class LoadHbase:
"""
sep: 分隔符
"""
@staticmethod
def cmd_load(row, table, hdfs_file, message, sep):
# 执行CMD命令
msg = ""
cmd = "/data2/hbase/hbase-2.0.1/bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv \
-Dimporttsv.columns=HBASE_ROW_KEY,%s '-Dimporttsv.separator=%s' %s %s" % (row, sep, table, hdfs_file)
# cmd = "/data2/hbase/hbase-2.0.1/bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv " \
# "-Dimporttsv.columns=HBASE_ROW_KEY," + row + \
# " '-Dimporttsv.separator=|' " + table + " " + hdfs_file
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
for info in p.communicate():
msg += str(info) + "\n"
# 日志写道ELK
LogHandler.elk_log(msg, 101, '/data3/dataLog/ickey_index' + DateHandler.now_date(0, 2) + '.log',
'ickey_index')
# 发送信息
MsgHandler.send_dd_msg(message)
load/load_mysql.py 0 → 100644
from extract.ex_base import Base
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
class LoadMysql:
"""
col：字段
table：表
data：数据
db：数据库
"""
@staticmethod
def sample_load(col, table, data, db, cal_time=True):
col_to_str = Base.col_to_str(col)
for d in data:
if cal_time:
data[d]['insert_time'] = DateHandler.now_datetime()
data[d]['cal_ts'] = DateHandler.now_date(1, 1)
value_to_str = Base.value_to_str(col, data[d])
sql = "INSERT INTO %s (%s) VALUES (%s)" % (table, col_to_str, value_to_str)
DBHandler.insert(db, sql)
db.close()
"""
col：字段
table：表
data：数据
db：数据库
"""
@staticmethod
def simple_dict_load(col, table, data, db, cal_time=True):
col_to_str = Base.col_to_str(col)
for d in data:
if cal_time:
d['cal_ts'] = DateHandler.date_time(1)
value_to_str = Base.value_to_str(col, d)
sql = "INSERT INTO %s (%s) VALUES (%s)" % (table, col_to_str, value_to_str)
DBHandler.insert(db, sql)
db.close()
@staticmethod
def keyword_load(col, table, value, db):
col_to_str = Base.col_to_str(col)
value_to_str = Base.col_to_str(value)
sql = "INSERT INTO %s (%s) VALUES (%s)" % (table, col_to_str, value_to_str)
DBHandler.insert(db, sql)
db.close()
local.py 0 → 100644
from utils.excel_handler import ExcelHandler
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from config.conn_list import ConnList
import datetime
data = ExcelHandler.read_to_excel('待分配客户-重新分配.xls', 'Sheet1', 1)
data.pop(0)
db = ConnList.Order()
ic_db = ConnList.IcData()
ds_db = ConnList.WrCrm()
now_ts = DateHandler.now_datetime()
com_types = {'默认': 0, '代工厂': 1, '终端': 2, '代理商': 3, '贸易商': 4, '其他': 5}
cus_types = {'默认': 0, '老板': 1, '采购': 2, '工程师': 3, '学生': 4, '其他': 5}
print(len(data))
for row in data:
email = str(row[0]).strip()
mobile = str(row[1]).strip()
company = str(row[2]).strip()
sale_man = str(row[3]).strip()
if mobile != '':
sql = "SELECT user_id FROM lie_user_main WHERE mobile = \'%s\'" % mobile
else:
sql = "SELECT user_id FROM lie_user_main WHERE email = \'%s\'" % email
user = DBHandler.read(db, sql)
if len(user) > 0:
outter_uid = user[0][0]
sql = "select userId from user_info where name = \'%s\'" % sale_man
sale = DBHandler.read(db=ic_db, sql=sql)
if len(sale) > 0:
sale_id = sale[0][0]
sql = "SELECT user_id FROM lie_user WHERE outter_uid = %d AND source IN (1,2)" % outter_uid
is_exist = DBHandler.read(ds_db, sql)
if len(is_exist) > 0:
user_id = is_exist[0][0]
sql = "UPDATE lie_salesman SET user_id = %d,sale_id = %d WHERE user_id = %d" % (user_id, sale_id, outter_uid)
DBHandler.update(ds_db, sql)
# print(len(data))
local/LxBrand.py 0 → 100644
from config.conn_list import ConnList
from utils.db_handler import DBHandler
db = ConnList.Order()
r = ConnList.WriteRedis23()
sql = "SELECT i.brand_id, COUNT(i.brand_id) FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
WHERE i.goods_type = 2 AND i.status = 1 AND i.brand_id != 0 \
GROUP BY i.brand_id ORDER BY COUNT(i.brand_id) DESC"
result = DBHandler.read(db, sql)
print(len(result))
for row in result:
print(row)
brand_id = row[0]
brand_count = row[1]
# r.hset("Top_Seller_Brand", brand_id, brand_count)
local/LxCmpCode.py 0 → 100644
from config.conn_list import ConnList
from utils.db_handler import DBHandler
chain_db = ConnList.Chain()
credit_db = ConnList.Credit()
sql = "SELECT id,company_name FROM lie_com_credits WHERE erp_company_code = \'\'"
result = DBHandler.read(credit_db, sql)
for row in result:
com_id = row[0]
company_name = row[1]
sql = "SELECT customer_code \
FROM lie_company c \
LEFT JOIN lie_customer u ON c.company_id = u.company_id\
WHERE company_full_name = \'%s\' LIMIT 1" % company_name
exist = DBHandler.read(chain_db, sql)
if len(exist) > 0:
company_code = exist[0][0]
if company_code is not None:
sql = "UPDATE lie_com_credits SET erp_company_code = \'%s\' WHERE id = %d" % (company_code, com_id)
DBHandler.update(credit_db, sql)
\ No newline at end of file
main_pipeline.py 0 → 100644
from pipeline.pi_behavior import PiBehavior
from pipeline.pi_tag import PiTag
from pipeline.pi_goods import PiGoods
from pipeline.pi_page import PiPage
from pipeline.pi_activity import PiActivity
from pipeline.pi_daily import PiDaily
from pipeline.pi_weekly import PiWeekly
from pipeline.pi_lx_log import PiLxLog
from pipeline.pi_lx_log_url import PiLxLogUrl
from pipeline.pi_rank import PiRank
from utils.date_handler import DateHandler
import sys
if __name__ == '__main__':
if len(sys.argv) > 1:
if sys.argv[1] == 'sum_behavior': #
PiBehavior.pipeline_sum_behavior()
if sys.argv[1] == 'zy_adtag': # 自营adtag
PiTag().pipeline_zy_adtag()
if sys.argv[1] == 'all_adtag': #
PiTag().pipeline_all_adtag()
if sys.argv[1] == 'erp_order': # 联营线下订单
PiGoods.pipeline_special_canal()
if sys.argv[1] == 'page_trans': # 页面转换
PiPage().pipeline_pageTag()
if sys.argv[1] == 'ac_cal': # 活动计算
PiActivity.pipeline_daily_activity()
if sys.argv[1] == 'share_friend': # 邀请好友
PiActivity.pipeline_wallet_activity()
if sys.argv[1] == 'week_hot_goods': # 每周热卖
PiWeekly.pipeline_week_hot_goods()
if sys.argv[1] == 'week_classify_hot_goods': # 每周热卖一二级物料
PiWeekly.pipeline_week_classify_hot_goods()
if sys.argv[1] == 'lx_brand': # 每周品牌
PiWeekly.pipeline_lx_brand()
if sys.argv[1] == 'lx_order': # 每周订单
PiWeekly.pipeline_lx_order()
if sys.argv[1] == 'crm_user': # 更新crm用户信息
PiDaily.pipeline_crm_user()
if sys.argv[1] == 'lx_log': # 日志解析
pi_lx_log = PiLxLog()
pi_lx_log.pipeline_lx_log()
if sys.argv[1] == 'lx_log_url':
pi_lx_log_url = PiLxLogUrl()
pi_lx_log_url.pipeline_lx_log_url()
if sys.argv[1] == 'ly_log':
pi_ly_log = PiLxLog()
pi_ly_log.pipeline_ly_log()
if sys.argv[1] == 'lx_rank1':
start_time = DateHandler.date_time(1)
end_time = DateHandler.date_time(0)
PiRank().rank_one(start_time, end_time)
if sys.argv[1] == 'lx_rank3':
PiRank().rank_three()
pipeline/__pycache__/pi_daily.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_email.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_erp.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_goods.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_page.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_rank.cpython-36.pyc 0 → 100644
No preview for this file type
pipeline/__pycache__/pi_rate.cpython-36.pyc 0 → 100644
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pipeline/__pycache__/pi_tag.cpython-36.pyc 0 → 100644
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pipeline/pi_activity.py 0 → 100644
from extract.ex_dashboard import ExDashboard
from extract.ex_user import ExUser
from extract.ex_activity import ExActivity
from extract.ex_order import ExOrder
from translate.ts_activity import TsActivity
from translate.ts_wallet import TsWallet
from load.load_mysql import LoadMysql
from extract.ex_erp import ExERP
from config.conn_list import ConnList
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from utils.excel_handler import ExcelHandler
import time
class PiActivity:
"""
流失召回数据
"""
@staticmethod
def pipeline_recall_user():
rd = []
db = ConnList.Order()
ic_db = ConnList.IcData()
ac_start_time = 1562515200
ac_end_time = 1564156800
# ac_end_time = 1563764597
data = ExcelHandler.read_to_excel('流失召回用户.xlsx', '旧同事四个月未跟进重新分配激活名单', 1)
data.pop(0)
for row in data:
company = row[0]
account = row[1] if type(row[1]) == str else int(row[1])
sale_man = ''
if '@' in str(account):
sql_user = "SELECT user_id FROM lie_user_main WHERE email = \'%s\'" % account
else:
sql_user = "SELECT user_id FROM lie_user_main WHERE mobile = \'%s\'" % account
rs_user = DBHandler.read(db, sql_user)
user_id = rs_user[0][0] if len(rs_user) > 0 else 99999999
if len(rs_user) > 0:
sql_sale = "SELECT sale_id FROM lie_order WHERE user_id = %d ORDER BY order_id DESC LIMIT 1" % user_id
sale = DBHandler.read(db, sql_sale)
if len(sale) > 0:
sale_id = sale[0][0]
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
print(account, user_id, sale_man)
pay_amount = 0
max_time = 0
min_time = 9999999999
sql_paid = "SELECT p.pay_amount,p.pay_time,o.currency \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE \
o.is_type = 0 \
AND o.order_pay_type != 3 \
AND p.user_id = %d" % (user_id)
rs_paid = DBHandler.read(db, sql_paid)
for rp in rs_paid:
pay_time = rp[1]
amount = float(rp[0]) if rp[2] == 1 else float(rp[0]) * 6.85
if max_time < pay_time < ac_start_time:
max_time = pay_time
if ac_start_time <= pay_time <= ac_end_time and pay_time < min_time:
min_time = pay_time
pay_amount += amount
ac_between = round((min_time - max_time) / 86400)
rd.append({'company': company,
'account': account,
'sale_man': sale_man,
'pay_amount': pay_amount if pay_amount != 0 else '',
'max_time': DateHandler.unix_to_date(max_time, "%Y-%m-%d") if max_time != 0 else '',
'min_time': DateHandler.unix_to_date(min_time, "%Y-%m-%d") if min_time != 9999999999 else '',
'ac_between': str(ac_between) + '天' if ac_between < 365 * 10 else ''})
# Excel标题
title = ['公司', '账号', '跟进业务员', '付款金额', '活动前最后一次付款时间', '活动中第一次付款时间', '付款时间间隔']
# Excel内容
content = ['company', 'account', 'sale_man', 'pay_amount', 'max_time', 'min_time', 'ac_between']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
历史数据
"""
@staticmethod
def pipeline_history():
# time
db = ConnList.Order()
ul_1 = []
ul_2 = []
# 6.10
day_1 = 1560096000
start_time_1 = (day_1 - 86400 * 30)
end_time_1 = day_1 + 86400
start_time_2 = 1560700800
end_time_2 = 1561737600
# 7.10
# day_1 = 1562688000
# start_time_1 = (day_1 - 86400 * 30)
# end_time_1 = day_1 + 86400
#
# start_time_2 = 1563120000
# end_time_2 = 1564156800
sql_his = "SELECT o.user_id \
FROM lie_order o \
LEFT JOIN lie_user_main u ON o.user_id = u.user_id \
WHERE u.is_type = 0 \
AND u.is_test = 0 \
AND o.is_type = 0 \
AND o.status = 10 \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.create_time <= %d \
GROUP BY o.user_id \
HAVING COUNT(o.user_id) > 1" % start_time_1
his_user = DBHandler.read(db, sql_his)
sql_paid = "SELECT p.user_id \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
WHERE \
o.is_type = 0 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND p.pay_time BETWEEN %d AND %d \
GROUP BY p.user_id" % (start_time_2, end_time_2)
paid = DBHandler.read(db, sql_paid)
for row in paid:
ul_1.append(row[0])
for row in his_user:
user_id = row[0]
sql_exist = "SELECT 1 FROM lie_order WHERE create_time BETWEEN %d AND %d AND user_id = %d" % (start_time_1, end_time_1, user_id)
exist = DBHandler.read(db, sql_exist)
if len(exist) == 0:
ul_2.append(user_id)
print(len(ul_1), len(ul_2), list(set(ul_1).intersection(set(ul_2))))
print('占比: ', len(list(set(ul_1).intersection(set(ul_2)))) / len(ul_1) * 100)
"""
所有用户明细
"""
@staticmethod
def pipeline_all_user_detail():
ud = {}
rd = []
db = ConnList.Order()
ic_db = ConnList.IcData()
exchange = ExERP(DateHandler.now_date(0, 1)).get_erp_exchange()
ac_start_time = 1562515200
ac_end_time = 1564156800
ac_start_time_2 = 1564329600
ac_end_time_2 = 1572537600
sql = "SELECT p.user_id, p.pay_amount, o.currency, o.sale_id, p.order_id, p.pay_time, u.mobile, u.email, v.tax_title \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
LEFT JOIN lie_order_invoice v ON p.order_id = v.order_id \
WHERE \
o.is_type = 0 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND o.order_pay_type != 3 \
AND p.pay_time BETWEEN %d AND %d" % (ac_start_time_2, ac_end_time_2)
result = DBHandler.read(db, sql)
for row in result:
user_id = row[0]
pay_amount = float(row[1])
currency = row[2]
sale_id = row[3]
order_id = row[4]
pay_time = row[5]
mobile = row[6]
email = row[7]
tax_title = row[8]
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
pay_amount = pay_amount if currency == 1 else pay_amount * exchange
if user_id not in ud:
ud[user_id] = {'account': mobile if mobile != '' else email,
'tax_title': tax_title,
'sale_man': sale_man,
'pay_amount': pay_amount,
'order': [order_id]}
else:
ud[user_id]['pay_amount'] += pay_amount
ud[user_id]['order'].append(order_id)
for user_id in ud:
order = ud[user_id]['order']
order_str = "("
for order_id in order:
order_str += str(order_id) + ","
order_str = order_str[:-1] + ")"
sql = "SELECT brand_name,supplier_name FROM lie_order_items WHERE order_id IN %s" % order_str
bs = DBHandler.read(db, sql)
brand_name = ""
supplier_name = ""
for row in bs:
bn = row[0]
sn = row[1]
brand_name += bn + ", " if bn not in brand_name else ""
supplier_name += sn + ", " if sn not in supplier_name else ""
rd.append({'account': ud[user_id]['account'],
'tax_title': ud[user_id]['tax_title'],
'sale_man': ud[user_id]['sale_man'],
'pay_amount': ud[user_id]['pay_amount'],
'supplier_name': supplier_name,
'brand_name': brand_name})
# Excel标题
title = ['账号', '下单公司名', '对应交易员', '累计实付金额', '供应商', '品牌']
# Excel内容
content = ['account', 'tax_title', 'sale_man', 'pay_amount', 'supplier_name', 'brand_name']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
新用户明细
"""
@staticmethod
def pipeline_new_user_detail():
ud = {}
rd = []
db = ConnList.Order()
ic_db = ConnList.IcData()
exchange = ExERP(DateHandler.now_date(0, 1)).get_erp_exchange()
ac_start_time = 1562515200
ac_end_time = 1564156800
ac_start_time_2 = 1560096000
ac_end_time_2 = 1561737600
sql = "SELECT p.user_id, p.pay_amount, o.currency, o.sale_id, p.order_id, p.pay_time, u.mobile, u.email, v.tax_title \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
LEFT JOIN lie_order_invoice v ON p.order_id = v.order_id \
WHERE p.user_id NOT IN \
(SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < %d AND o.order_type = 1 AND o.order_goods_type IN (1,2) GROUP BY p.user_id) \
AND p.pay_time \
BETWEEN %d AND %d \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND o.order_pay_type != 3 \
AND u.is_test = 0 \
AND o.status > 2 \
AND u.is_type = 0" \
% (ac_start_time_2, ac_start_time_2, ac_end_time_2)
result = DBHandler.read(db, sql)
for row in result:
user_id = row[0]
pay_amount = float(row[1])
currency = row[2]
sale_id = row[3]
order_id = row[4]
pay_time = DateHandler.unix_to_date(row[5], "%Y-%m-%d")
mobile = row[6]
email = row[7]
tax_title = row[8]
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
pay_amount = pay_amount if currency == 1 else pay_amount * exchange
if user_id not in ud:
ud[user_id] = {'account': mobile if mobile != '' else email,
'tax_title': tax_title,
'sale_man': sale_man,
'pay_amount': pay_amount,
'order': [order_id],
'pay_time': [pay_time]
}
else:
ud[user_id]['pay_amount'] += pay_amount
ud[user_id]['order'].append(order_id)
if pay_time not in ud[user_id]['pay_time']:
ud[user_id]['pay_time'].append(pay_time)
for user_id in ud:
order = ud[user_id]['order']
order_str = "("
for order_id in order:
order_str += str(order_id) + ","
order_str = order_str[:-1] + ")"
sql = "SELECT brand_name,supplier_name FROM lie_order_items WHERE order_id IN %s" % order_str
bs = DBHandler.read(db, sql)
brand_name = ""
supplier_name = ""
for row in bs:
bn = row[0]
sn = row[1]
brand_name += bn + ", " if bn not in brand_name else ""
supplier_name += sn + ", " if sn not in supplier_name else ""
rd.append({'account': ud[user_id]['account'],
'tax_title': ud[user_id]['tax_title'],
'sale_man': ud[user_id]['sale_man'],
'pay_times': len(ud[user_id]['pay_time']),
'pay_amount': ud[user_id]['pay_amount'],
'supplier_name': supplier_name,
'brand_name': brand_name})
# Excel标题
title = ['账号', '下单公司名', '对应交易员', '付款笔数', '累计实付金额', '供应商', '品牌']
# Excel内容
content = ['account', 'tax_title', 'sale_man', 'pay_times', 'pay_amount', 'supplier_name', 'brand_name']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
活动新用户明细
"""
@staticmethod
def pipeline_new_user_detail_2():
ud = {}
rd = []
db = ConnList.Order()
ic_db = ConnList.IcData()
exchange = ExERP(DateHandler.now_date(0, 1)).get_erp_exchange()
ac_start_time = 1570464000
ac_end_time = 1572537600
# 原始逻辑
sql = "SELECT p.user_id, p.pay_amount, o.currency, o.sale_id, p.order_id, p.pay_time, u.mobile, u.email, v.tax_title, o.create_time \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
LEFT JOIN lie_order_invoice v ON p.order_id = v.order_id \
WHERE p.user_id NOT IN \
(SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < %d AND o.order_type = 1 AND o.order_goods_type IN (1,2) GROUP BY p.user_id) \
AND p.pay_time BETWEEN %d AND %d \
AND o.create_time BETWEEN %d AND %d \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND o.order_pay_type != 3 \
AND o.status > 2 \
AND u.is_test = 0 \
AND u.is_type = 0 \
ORDER BY o.create_time" \
% (ac_start_time, ac_start_time, ac_end_time, ac_start_time, ac_end_time)
result = DBHandler.read(db, sql)
for row in result:
user_id = row[0]
pay_amount = float(row[1])
currency = row[2]
sale_id = row[3]
order_id = row[4]
pay_time = DateHandler.unix_to_date(row[5], "%Y-%m-%d")
mobile = row[6]
email = row[7]
tax_title = row[8]
order_time = DateHandler.unix_to_date(row[9], "%Y-%m-%d")
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
pay_amount = pay_amount if currency == 1 else pay_amount * exchange
if user_id not in ud:
ud[user_id] = {
'account': mobile if mobile != '' else email,
'tax_title': tax_title,
'sale_man': sale_man,
'order_list': {order_time: pay_amount},
'order_ids': [order_id]
# 'pay_times': {''},
# 'pay_amount': pay_amount,
# 'fs_amount': pay_amount,
# 'fs_time': order_time,
}
else:
# ud[user_id]['pay_amount'] += pay_amount
if order_time not in ud[user_id]['order_list']:
ud[user_id]['order_list'][order_time] = pay_amount
else:
ud[user_id]['order_list'][order_time] += pay_amount
if order_id not in ud[user_id]['order_ids']:
ud[user_id]['order_ids'].append(order_id)
for user_id in ud:
order = ud[user_id]['order_ids']
order_str = "("
for order_id in order:
order_str += str(order_id) + ","
order_str = order_str[:-1] + ")"
sql = "SELECT brand_name,supplier_name FROM lie_order_items WHERE order_id IN %s" % order_str
bs = DBHandler.read(db, sql)
brand_name = ""
supplier_name = ""
for row in bs:
bn = row[0]
sn = row[1]
brand_name += bn + ", " if bn not in brand_name else ""
supplier_name += sn + ", " if sn not in supplier_name else ""
fs_amount = 0
pay_times = 0
pay_amount = 0
fs_time = 0
order_list = ud[user_id]['order_list']
for order_time in order_list:
amount = order_list[order_time]
if fs_amount == 0:
fs_amount = amount
fs_time = order_time
pay_times += 1
pay_amount += amount
rd.append({
'user_id': user_id,
'account': ud[user_id]['account'],
'tax_title': ud[user_id]['tax_title'],
'sale_man': ud[user_id]['sale_man'],
'pay_times': pay_times,
'fs_amount': fs_amount,
'pay_amount': pay_amount,
'fs_time': fs_time,
'supplier_name': supplier_name,
'brand_name': brand_name
})
# Excel标题
title = ['会员ID', '账号', '下单公司名', '对应交易员', '首购付款金额', '累计实付金额', '累计付款笔数', '首购付款时间', '供应商', '品牌']
# Excel内容
content = ['user_id', 'account', 'tax_title', 'sale_man', 'fs_amount', 'pay_amount', 'pay_times', 'fs_time', 'supplier_name', 'brand_name']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
下单并付款用户
"""
@staticmethod
def pipeline_new_user_detail_3():
ud = {}
rd = []
db = ConnList.Order()
ic_db = ConnList.IcData()
exchange = ExERP(DateHandler.now_date(0, 1)).get_erp_exchange()
ac_start_time = 0
ac_end_time = 1572537600
# AND o.order_pay_type != 3 \
sql = "SELECT p.user_id, p.pay_amount, o.currency, o.sale_id, p.order_id, p.pay_time, u.mobile, u.email, v.tax_title, o.create_time \
FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
LEFT JOIN lie_order_invoice v ON p.order_id = v.order_id \
WHERE o.create_time BETWEEN %d AND %d \
AND p.pay_time BETWEEN %d AND %d \
AND o.order_type = 1 \
AND o.order_goods_type IN (1,2) \
AND o.is_type = 0 \
AND o.status > 2 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND u.user_id IN (159460,4049,136511,137003,144156,159702,160313,160374,160546) \
ORDER BY o.create_time" \
% (ac_start_time, ac_end_time, ac_start_time, ac_end_time)
result = DBHandler.read(db, sql)
for row in result:
user_id = row[0]
pay_amount = float(row[1])
currency = row[2]
sale_id = row[3]
order_id = row[4]
pay_time = DateHandler.unix_to_date(row[5], "%Y-%m-%d")
mobile = row[6]
email = row[7]
tax_title = row[8]
order_time = DateHandler.unix_to_date(row[9], "%Y-%m-%d")
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
sql = "SELECT 1 FROM lie_order WHERE create_time < %d AND user_id = %d" % (ac_start_time, user_id)
is_new = DBHandler.read(db, sql)
if (len(is_new) == 0):
flag = '是'
else:
flag = '否'
pay_amount = pay_amount if currency == 1 else pay_amount * exchange
if user_id not in ud:
ud[user_id] = {
'tax_title': tax_title,
'account': mobile if mobile != '' else email,
'is_new': flag,
'pay_time': pay_time,
'pay_amount': pay_amount,
'pay_times': [order_id],
'sale_man': sale_man,
}
else:
ud[user_id]['pay_amount'] += pay_amount
if order_id not in ud[user_id]['pay_times']:
ud[user_id]['pay_times'].append(order_id)
for user_id in ud:
order = ud[user_id]['pay_times']
order_str = "("
for order_id in order:
order_str += str(order_id) + ","
order_str = order_str[:-1] + ")"
sql = "SELECT brand_name,supplier_name FROM lie_order_items WHERE order_id IN %s" % order_str
bs = DBHandler.read(db, sql)
brand_name = ""
supplier_name = ""
for row in bs:
bn = row[0]
sn = row[1]
brand_name += bn + ", " if bn not in brand_name else ""
supplier_name += sn + ", " if sn not in supplier_name else ""
rd.append({
'user_id': user_id,
'tax_title': ud[user_id]['tax_title'],
'account': ud[user_id]['account'],
'is_new': ud[user_id]['is_new'],
'pay_time': ud[user_id]['pay_time'],
'pay_amount': ud[user_id]['pay_amount'],
'pay_times': len(ud[user_id]['pay_times']),
'sale_man': ud[user_id]['sale_man'],
'supplier_name': supplier_name,
'brand_name': brand_name
})
# Excel标题
title = ['会员ID', '会员账号', '下单公司名', '是否新用户', '付款时间', '累计付款金额（元）', '累计付款笔数', '对应交易员', '供应商', '品牌']
# Excel内容
content = ['user_id', 'account', 'tax_title', 'is_new', 'pay_time', 'pay_amount', 'pay_times', 'sale_man', 'supplier_name', 'brand_name']
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
pipeline/pi_behavior.py 0 → 100644
from utils.excel_handler import ExcelHandler
from translate.ts_behavior import TsBehavior
from extract.ex_user import ExUser
from extract.ex_behavior import ExBehavior
from extract.ex_dashboard import ExDashboard
from extract.ex_order import ExOrder
from utils.date_handler import DateHandler
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
from utils.db_handler import DBHandler
import time
class PiBehavior:
@staticmethod
def pipeline_user_behavior():
where = {'start_time': 1543593600, 'end_time': 1546272000, 'condition': []}
ex_user = ExUser('新用户购买')
# 首购用户
# data = ex_user.new_user_order(where)
# 新注册用户
data = ex_user.reg_user(where)
# 文件用户
# data = ex_user.file_user()
ts_be = TsBehavior(name='行为转化', data=data)
ts_be.trans_user_behavior(where)
@staticmethod
def pipeline_sum_behavior():
# 获取测试IP
test_ip = []
data = ExUser('测试ip').test_ip()
for d in data:
test_ip.append(d['ip'])
# 行为数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['behavior_id > 0']}
ex_be = ExBehavior('读取行为日志')
be_data = ex_be.behavior_log(where)
# 转化
ts_be = TsBehavior(name='行为日志计算', data=be_data)
be_data_ts = ts_be.trans_sum_behavior(test_ip=test_ip)
# 订单数据
# PC
where = {'condition': ['cal_ts = \'' + DateHandler.now_date(1, 1) + '\'',
'order_type = 1']}
ex_order = ExDashboard('读取订单')
od_data = ex_order.sum_order(where)
be_data_ts['new_order_count']['pc'] = int(od_data[0]['sum(order_count)'])
be_data_ts['pay_order_count']['pc'] = int(od_data[0]['sum(order_paid_count)'])
# H5
where = {'condition': ['cal_ts = \'' + DateHandler.now_date(1, 1) + '\'',
'order_type = 2']}
ex_order = ExDashboard('读取订单')
od_data = ex_order.sum_order(where)
be_data_ts['new_order_count']['h5'] = int(od_data[0]['sum(order_count)'])
be_data_ts['pay_order_count']['h5'] = int(od_data[0]['sum(order_paid_count)'])
# 写入数据
col = ['search_count', 'custom_count', 'addcart_count', 'buy_count', 'confirm_count',
'pay_count', 'new_order_count', 'pay_order_count']
# PC
value = []
for c in col:
value.append(str(be_data_ts[c]['pc']))
col.append('insert_time')
col.append('cal_ts')
col.append('platform')
value.append(str(DateHandler.now_datetime()))
value.append('\'' + DateHandler.now_date(1, 1) + '\'')
value.append('1')
LoadMysql.keyword_load(col=col, table='lie_sum_behavior_cal', value=value, db=ConnList.Dashboard())
# H5
col = ['search_count', 'custom_count', 'addcart_count', 'buy_count', 'confirm_count',
'pay_count', 'new_order_count', 'pay_order_count']
value = []
for c in col:
value.append(str(be_data_ts[c]['h5']))
col.append('insert_time')
col.append('cal_ts')
col.append('platform')
value.append(str(DateHandler.now_datetime()))
value.append('\'' + DateHandler.now_date(1, 1) + '\'')
value.append('2')
LoadMysql.keyword_load(col=col, table='lie_sum_behavior_cal', value=value, db=ConnList.Dashboard())
@staticmethod
def pipeline_all_behavior():
where = {'start_time': 1533052800, 'end_time': 1548950400, 'condition': ['behavior_id > 0']}
ex_be = ExBehavior('行为转化')
data = ex_be.behavior_log(where)
print(len(data))
ts_be = TsBehavior(name="行为转化", data=data)
ts_be.trans_output_behavior()
@staticmethod
def pipeline_order_behavior():
where = {'start_time': 1541001600, 'end_time': 1543593600, 'condition': ['order_id > 0']}
ex_order = ExOrder('订单详情')
data = ex_order.all_order(where)
print(len(data))
ts_be = TsBehavior(name="行为转化", data=data)
ts_be.trans_order_behavior()
@staticmethod
def pipeline_reg_without_login():
where = {'start_time': 1, 'end_time': 1546444800,
'condition': ['AND user_id NOT IN (SELECT user_id FROM lie_user_login_log \
WHERE last_login_time BETWEEN 1538496000 AND 1546444800 GROUP BY user_id)']}
ex_user = ExUser('注册未登录用户')
data = ex_user.reg_user(where)
print(len(data))
ts_be = TsBehavior(name="会员行为", data=data)
ts_be.trans_user_exit_behavior('(1,2,3)')
@staticmethod
def pipeline_no_login():
ul = []
tl = []
fl = {}
title = ['账号', '时间']
content = ['mobile', 'create_time']
sql = "SELECT user_id FROM lie_user_main WHERE is_test = 1"
db = ConnList.Order()
test = DBHandler.read(db, sql)
for row in test:
tl.append(row[0])
db.close()
sql = "SELECT user_id FROM lie_behavior_log WHERE create_time BETWEEN %d AND %d AND behavior in (4, 11) GROUP BY user_id" % (0, 1554185690)
db = ConnList.Behavior()
behavior = DBHandler.read(db, sql)
for row in behavior:
if row[0] not in tl and row[0] not in ul:
ul.append(row[0])
db.close()
sql = "SELECT user_id FROM lie_order WHERE order_type = 1 AND is_type != 0 GROUP BY user_id"
db = ConnList.Order()
order = DBHandler.read(db, sql)
for row in order:
if row[0] not in tl and row[0] not in ul:
ul.append(row[0])
index = 0
for user_id in ul:
sql = "SELECT max(last_login_time),mobile,email,create_time FROM lie_user_login_log l LEFT JOIN lie_user_main u ON u.user_id = l.user_id WHERE l.user_id = %d" % user_id
result = DBHandler.read(db, sql)
if len(result) > 0 and result[0][0] is not None:
if 1554185690 - result[0][0] > 86400 * 60:
fl[index] = {'mobile': result[0][1] if result[0][1] != '' else result[0][2],
'create_time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(result[0][3]))}
index += 1
print(index)
else:
print('None')
print(user_id)
break
ExcelHandler.write_to_excel_with_openpyxl(title, content, fl, "result.xls")
pipeline/pi_daily.py 0 → 100644
from extract.ex_user import ExUser
from extract.ex_purchase import ExPurchase
from extract.ex_order import ExOrder
from extract.ex_shence import ExShenCe
from extract.ex_crm import ExCrm
from extract.ex_dashboard import ExDashboard
from extract.ex_erp import ExERP
from translate.ts_user import TsUser
from translate.ts_order import TsOrder
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
from pipeline.pi_email import PiEmail
from translate.ts_daily import TsDaily
from translate.ts_crm import TsCrm
from utils.msg_handler import MsgHandler
import traceback
import time
class PiDaily:
@staticmethod
def pipeline_core_daily():
try:
# 时间范围
start_time = DateHandler.date_time(1)
end_time = DateHandler.date_time(0)
# 登录用户
u_con = {'start_time': start_time, 'end_time': end_time, 'condition': []}
user_login = TsUser('登录', ExUser('').login_user(u_con)).trans_pf_user('platform')
col = ['login_sum_count', 'login_pc_count', 'login_h5_count', 'insert_time', 'cal_ts']
log_data = {'login_sum_count': user_login['sum'], 'login_pc_count': user_login['pc'],
'login_h5_count': user_login['h5'], 'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}
LoadMysql.simple_dict_load(col=col, table='lie_user_login_cal',
data=[log_data],
db=ConnList.Dashboard(), cal_time=False)
# 注册用户
user_reg = TsUser('注册', ExUser('').reg_user(u_con)).trans_pf_user('create_device')
col = ['reg_sum_count', 'reg_pc_count', 'reg_h5_count', 'insert_time', 'cal_ts']
reg_data = {'reg_sum_count': user_reg['sum'],
'reg_pc_count': user_reg['pc'],
'reg_h5_count': user_reg['h5'],
'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}
LoadMysql.simple_dict_load(col=col,
table='lie_user_reg_cal',
data=[reg_data],
db=ConnList.Dashboard(), cal_time=False)
# 优惠券
user_coupon = TsUser('优惠券', ExUser('').user_coupon(u_con)).trans_pf_regex_user('source')
col = ['coupon_sum_count', 'coupon_pc_count', 'coupon_h5_count', 'insert_time', 'cal_ts']
coupon_data = {'coupon_sum_count': user_coupon['sum'], 'coupon_pc_count': user_coupon['pc'],
'coupon_h5_count': user_coupon['h5'], 'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}
LoadMysql.simple_dict_load(col=col, table='lie_coupon_cal',
data=[coupon_data],
db=ConnList.Dashboard(), cal_time=False)
# sku概况
key = 'djdj93ichuntj56dksisearchdj45eieapi'
url = 'http://so12.ichunt.com/search/ServerApi/index'
sku = DBHandler.esEncryptData(key, url)
col = ['goods_type', 'goods_self_up_count', 'goods_self_down_count', 'goods_upload_count',
'goods_sum_count', 'cal_ts', 'insert_time']
col_dict = {'self': 1, 'ly': 2, 'zm': 3}
rd = []
for c in col_dict:
rd.append({'goods_type': col_dict[c], 'goods_self_up_count': sku[c+'_up'],
'goods_self_down_count': sku[c+'_down'],
'goods_upload_count': sku[c+'_inc'] if c+'_inc' in sku else 0,
'goods_sum_count': sku[c+'_total'], 'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)})
LoadMysql.simple_dict_load(col=col, table='lie_lx_goods_cal', data=rd,
db=ConnList.Dashboard(), cal_time=False)
# 采购概况
pc_yes_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['i.status = 1', 'p.status > 1']}
pc_yes_self_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['i.status = 1', 'p.status > 1', 'p.picking_type = 1']}
pc_yes_consign_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['i.status = 1', 'p.status > 1', 'p.picking_type != 1']}
pc_all_con = {'start_time': 0, 'end_time': end_time,
'condition': ['i.status = 1', 'p.status > 1']}
in_stock_con = {'start_time': start_time, 'end_time': end_time}
pc_yes_count = ExPurchase('').purchase_count(pc_yes_con)
pc_yes_self_count = ExPurchase('').purchase_count(pc_yes_self_con)
pc_yes_consign_count = ExPurchase('').purchase_count(pc_yes_consign_con)
pc_all_count = ExPurchase('').purchase_count(pc_all_con)
in_stock = ExPurchase('').in_stock(in_stock_con)
wait_stock = ExPurchase('').wait_stock()
wait_examine = ExPurchase('').wait_examine()
col = ['putaway_yes_count',
'wait_putaway_sum_count',
'wait_examine_sum_count',
'purchase_yes_count',
'purchase_yes_self_count',
'purchase_yes_consign_count',
'purchase_sum_count',
'purchase_yes_amount',
'purchase_yes_self_amount',
'purchase_yes_consign_amount',
'purchase_sum_amount',
'insert_time',
'cal_ts']
purchase_data = {'putaway_yes_count': in_stock[0],
'wait_putaway_sum_count': wait_stock[0],
'wait_examine_sum_count': wait_examine[0],
'purchase_yes_count': pc_yes_count[0]['count'],
'purchase_yes_self_count': pc_yes_self_count[0]['count'],
'purchase_yes_consign_count': pc_yes_consign_count[0]['count'],
'purchase_sum_count': pc_all_count[0]['count'],
'purchase_yes_amount': pc_yes_count[0]['amount'],
'purchase_yes_self_amount': pc_yes_self_count[0]['amount'],
'purchase_yes_consign_amount': pc_yes_consign_count[0]['amount'],
'purchase_sum_amount': pc_all_count[0]['amount'],
'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}
# 写入DB
LoadMysql.simple_dict_load(col=col, table='lie_purchase_cal',
data=[purchase_data],
db=ConnList.Dashboard(), cal_time=False)
# 订单
# 京东联营订单
jd_all_ly_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['id > 0']}
jd_paid_ly_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['order_state != \'TRADE_CANCELED\'']}
jd_all_order = ExOrder('京东联营').jdLyOrder(jd_all_ly_con)
jd_paid_order = ExOrder('京东联营').jdLyOrder(jd_paid_ly_con)
# 平台应付订单
o_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['order_id > 0']}
pf_order = TsOrder('平台应付订单', ExOrder('').all_pf_order(o_con)).trans_order_cal()
pf_order['hz']['count'] += jd_all_order[0]['count']
pf_order['jd']['count'] += jd_all_order[0]['count']
pf_order['hz']['amount'] += jd_all_order[0]['amount']
pf_order['jd']['amount'] += jd_all_order[0]['amount']
# 平台实付订单
p_con = {'start_time': start_time, 'end_time': end_time,
'condition': ['o.status > 2']}
pf_paid_order = TsOrder('平台实付订单', ExOrder('').order_pf_price(p_con)).trans_order_paid_cal()
pf_paid_order['hz']['count'] += jd_paid_order[0]['count']
pf_paid_order['jd']['count'] += jd_paid_order[0]['count']
pf_paid_order['hz']['amount'] += jd_paid_order[0]['amount']
pf_paid_order['jd']['amount'] += jd_paid_order[0]['amount']
# 计算客单价
for pf in pf_paid_order:
if pf_paid_order[pf]['count'] > 0:
pf_paid_order[pf]['pct'] = round(pf_paid_order[pf]['amount']/pf_paid_order[pf]['count'], 2)
else:
pf_paid_order[pf]['pct'] = 0
# 写入数据
col = ['order_type', 'order_count', 'order_money', 'order_paid_count', 'order_people',
'order_paid_people', 'order_paid_money', 'order_pct', 'order_favour_count',
'order_favour_money', 'insert_time', 'cal_ts']
order_db = {'pc': 1, 'h5': 2, 'jd': 3, 'ly': 4, 'zy': 5, 'ht': 6, 'hz': 7, 'xcx': 8}
for tp in order_db:
LoadMysql.simple_dict_load(col=col, table='lie_order_cal',
data=[{'order_type': order_db[tp],
'order_count': pf_order[tp]['count'],
'order_money': pf_order[tp]['amount'],
'order_people': len(pf_order[tp]['people']),
'order_paid_count': pf_paid_order[tp]['count'],
'order_paid_money': pf_paid_order[tp]['amount'],
'order_paid_people': len(pf_paid_order[tp]['people']),
'order_pct': pf_paid_order[tp]['pct'],
'order_favour_count': pf_paid_order[tp]['favour_count'],
'order_favour_money': pf_paid_order[tp]['favour_amount'],
'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}],
db=ConnList.Dashboard(), cal_time=False)
# 神策数据
try:
pv = ExShenCe('').ex_pv()
uv = ExShenCe('').ex_uv()
sum_pv = ExShenCe('').sum_pv()
sum_uv = ExShenCe('').sum_uv()
print(pv, uv, sum_pv, sum_uv)
sc_data = {'pv': sum_pv[0], 'uv': sum_uv[0], 'pc_pv': pv['PC'][0], 'pc_uv': uv['PC'][0],
'h5_pv': pv['H5'][0], 'h5_uv': uv['H5'][0], 'cal_ts': DateHandler.now_date(1, 1)}
col = ['pv', 'uv', 'pc_pv', 'pc_uv', 'h5_pv', 'h5_uv', 'cal_ts']
LoadMysql.simple_dict_load(col=col, table='lie_shence_cal', data=[sc_data],
db=ConnList.Dashboard(), cal_time=False)
except:
pass
# 发送邮件
keyword = 'report-daily'
send_data = {'yes_ts': DateHandler.now_date(0, 1)}
send_data.update(sc_data)
send_data.update(reg_data)
send_data.update(log_data)
send_data.update(coupon_data)
send_data.update(purchase_data)
# 拼接订单数据
for tp in order_db:
send_data[tp + '_order_count'] = pf_order[tp]['count']
send_data[tp + '_order_money'] = pf_order[tp]['amount']
send_data[tp + '_order_paid_count'] = pf_paid_order[tp]['count']
send_data[tp + '_order_paid_money'] = pf_paid_order[tp]['amount']
send_data[tp + '_order_pct'] = pf_paid_order[tp]['pct']
send_data[tp + '_order_favour_count'] = pf_paid_order[tp]['favour_count']
send_data[tp + '_order_favour_money'] = pf_paid_order[tp]['favour_amount']
# 拼接sku数据
for cd in col_dict:
send_data[cd + '_goods_self_up_count'] = sku[cd + '_up']
send_data[cd + '_goods_self_down_count'] = sku[cd + '_down']
send_data[cd + '_goods_upload_count'] = sku[cd + '_inc'] if cd + '_inc' in sku else 0
send_data[cd + '_goods_sum_count'] = sku[cd + '_total']
# Send E
PiEmail.pipeline_core_report(send_data, keyword)
except:
MsgHandler.send_dd_msg('【风控报警】：运营日报%s' % traceback.format_exc())
"""
运营日报
"""
@staticmethod
def pipeline_operate_daily():
col = ['pv',
'uv',
'depth',
'bounce_rate',
'stay_time',
'reg_user',
'log_user',
'active_user',
'search_user',
'search_count',
'goods_list',
'order_count',
'order_user',
'order_amount',
'ly_order_count',
'ly_order_user',
'ly_order_amount',
'zy_order_count',
'zy_order_user',
'zy_order_amount',
'new_order_user',
'new_paid_order_user',
'ly_new_order_user',
'zy_new_order_user',
'ly_new_paid_order_user',
'zy_new_paid_order_user',
'ly_cancel_order',
'zy_cancel_order',
'cal_ts']
cal_ts = DateHandler.now_date(1, 1)
cal_start_ts = DateHandler.date_time(1)
cal_end_ts = DateHandler.date_time(0)
# 流量
pu = ExDashboard('').ex_shence_pu(condition={'start_time': cal_ts, 'condition': []})
bounce_rate = ExShenCe('').bounce_rate(cal_ts, cal_ts)
stay_time = ExShenCe('').stay_time(cal_ts, cal_ts)
# 新注册用户
u_con = {'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['AND create_device not like \'%adtag=zh%\'']}
user_reg = TsUser('注册', ExUser('').reg_user(u_con)).trans_pf_user('create_device')
log_user = ExShenCe('').log_user(cal_ts, cal_ts)
active_user = ExShenCe('').active_user(cal_ts, cal_ts)
# 搜索
search_user = ExShenCe('').search_user(cal_ts, cal_ts)
search_count = ExShenCe('').search_count(cal_ts, cal_ts)
goods_list = ExDashboard('').sku_sum_goods(condition={'start_time': cal_ts, 'condition': []})
# 下单
exchange = ExERP(cal_ts).get_erp_exchange()
all_order = ExOrder('').all_order(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
ts_order = TsDaily('', all_order).trans_order(exchange)
# 首购用户
fs_user = ExOrder('').first_order_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
fs_ly_user = ExOrder('').first_ly_order_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
fs_zy_user = ExOrder('').first_zy_order_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
fs_paid_user = ExOrder('').first_paid_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
fs_ly_paid_user = ExOrder('').first_ly_paid_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
fs_zy_paid_user = ExOrder('').first_zy_paid_user(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_id > 0']})
# 取消订单
ly_cancel_order = ExOrder('').cancel_order(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_goods_type = 1']})
zy_cancel_order = ExOrder('').cancel_order(condition={'start_time': cal_start_ts, 'end_time': cal_end_ts, 'condition': ['order_goods_type = 2']})
rs = {'pv': pu[0]['pv'] if len(pu) > 0 else 0,
'uv': pu[0]['uv'] if len(pu) > 0 else 0,
'depth': pu[0]['pv'] / pu[0]['uv'] if len(pu) > 0 and pu[0]['uv'] > 0 else 0,
'bounce_rate': bounce_rate['bounce_rate'],
'stay_time': stay_time['stay_time'],
'reg_user': user_reg['sum'],
'log_user': log_user['log_user'] if len(log_user['log_user']) > 0 else 0,
'active_user': active_user['active_user'] if len(active_user['active_user']) > 0 else 0,
'search_user': search_user['search_user'] if len(search_user['search_user']) > 0 else 0,
'search_count': search_count['search_count'] if len(search_count['search_count']) > 0 else 0,
'goods_list': int(goods_list[0]['goods_list']) if goods_list[0]['goods_list'] is not None else 0,
'order_count': ts_order['order_count'],
'order_user': ts_order['order_user'],
'order_amount': ts_order['order_amount'],
# 联营下单
'ly_order_count': ts_order['ly_count'],
'ly_order_user': ts_order['ly_user'],
'ly_order_amount': ts_order['ly_amount'],
# 自营下单
'zy_order_count': ts_order['zy_count'],
'zy_order_user': ts_order['zy_user'],
'zy_order_amount': ts_order['zy_amount'],
# 新用户下单
'new_order_user': len(fs_user),
'new_paid_order_user': len(fs_paid_user),
'ly_new_order_user': len(fs_ly_user),
'zy_new_order_user': len(fs_zy_user),
'ly_new_paid_order_user': len(fs_ly_paid_user),
'zy_new_paid_order_user': len(fs_zy_paid_user),
'ly_cancel_order': len(ly_cancel_order),
'zy_cancel_order': len(zy_cancel_order),
'cal_ts': cal_ts}
print(len(ly_cancel_order), len(zy_cancel_order))
# 写DB
LoadMysql.simple_dict_load(col=col,
table='lie_operate_daily',
data=[rs],
db=ConnList.Dashboard(),
cal_time=False)
# 发邮件
PiEmail.pipeline_operate_daily()
"""
运营周报
"""
@staticmethod
def pipeline_operate_weekly():
col = ['pv',
'uv',
'depth',
'reg_user',
'reg_trans',
'preserve_radio',
'active_user',
'new_order_user',
'new_order_paid_user',
'utm_new_paid_user',
'order_user',
'paid_user',
'order_count',
'paid_count',
'order_amount',
'paid_amount',
'cancel_order',
'zy_order_user',
'zy_sum_user',
'online_user',
'order_and_paid',
'zy_order_and_paid',
'zy_bg_user',
'zy_bg_count',
'zy_bg_amount',
'zy_paid_bg_user',
'zy_paid_bg_count',
'zy_paid_bg_amount',
'zy_first_user',
'zy_first_count',
'zy_first_amount',
'zy_first_paid_user',
'zy_first_paid_count',
'zy_first_paid_amount',
'first_order_and_paid',
'zy_first_order_and_paid',
'cal_ts']
d = time.strftime("%w", time.localtime())
# 周六
if int(d) == 6:
# 时间点
today = DateHandler.now_date(0, 1)
mon_day = DateHandler.now_date(5, 1)
thu_day = DateHandler.now_date(2, 1)
fri_day = DateHandler.now_date(1, 1)
last_sat = DateHandler.now_date(7, 1)
mon_day_ts = DateHandler.str_to_unix(mon_day, "%Y-%m-%d")
fri_day_ts = DateHandler.str_to_unix(fri_day, "%Y-%m-%d")
today_ts = DateHandler.str_to_unix(today, "%Y-%m-%d")
last_sat_ts = DateHandler.str_to_unix(last_sat, "%Y-%m-%d")
# 汇率
exchange = ExERP(today).get_erp_exchange()
# 流量
operate_data = ExDashboard('').avg_operate_data({'start_time': mon_day, 'end_time': fri_day})
avg_pv = round(operate_data[0]['avg(pv)'], 1)
avg_uv = round(operate_data[0]['avg(uv)'], 1)
avg_depth = round(operate_data[0]['avg(pv)/avg(uv)'], 1)
# 用户
online_user = ExOrder('').online_user(today_ts)
# 计算月时间
sat_ts = fri_day_ts + 86400
last_four = sat_ts - (86400 * 7 * 4)
last_eight = sat_ts - (86400 * 7 * 8)
# 下单且付款
order_and_paid_user_1 = ExOrder('').order_and_paid_user({'start_time': last_four, 'end_time': sat_ts, 'condition': ['(1,2)']})
order_and_paid_user_2 = ExOrder('').order_and_paid_user({'start_time': last_eight, 'end_time': last_four, 'condition': ['(1,2)']})
mix_user = len(list(set(order_and_paid_user_1).intersection(set(order_and_paid_user_2))))
order_and_paid_user_radio = round(mix_user / len(order_and_paid_user_2) * 100)
user = ExDashboard('').avg_operate_data({'start_time': last_sat, 'end_time': fri_day})
reg_user = user[0]['sum(reg_user)']
reg_trans = ExOrder('').reg_trans({'start_time': last_sat_ts, 'end_time': fri_day_ts + 86400})
reg_radio = round((len(reg_trans) / reg_user) * 100) if reg_user > 0 else 0
ac_user = round(operate_data[0]['avg(active_user)'], 1)
preserve = ExShenCe('').preserve(mon_day, thu_day)
# 下单
condition = {'start_time': last_sat_ts, 'end_time': fri_day_ts + 86400, 'condition': ['order_id > 0']}
# 原始数据
fs_user = ExOrder('').first_order_user(condition)
all_order = ExOrder('').all_order(condition)
pay_log = ExOrder('').pay_log_detail(condition)
cancel_order = ExOrder('').cancel_order(condition)
# 转换数据
ts_order = TsDaily('', all_order).trans_order(exchange)
ts_order_paid = TsDaily('', pay_log).trans_paid_order(exchange)
# 自营
zy_user = ExOrder('').zy_order_user(today_ts)
zy_ly_user = ExOrder('').zy_ly_order_user(today_ts)
# 自营近一个月复购率
zy_order_and_paid_user_1 = ExOrder('').order_and_paid_user(
{'start_time': last_four, 'end_time': sat_ts, 'condition': ['(2)']})
zy_order_and_paid_user_2 = ExOrder('').order_and_paid_user(
{'start_time': last_eight, 'end_time': last_four, 'condition': ['(2)']})
zy_mix_user = len(list(set(zy_order_and_paid_user_1).intersection(set(zy_order_and_paid_user_2))))
zy_order_and_paid_user_radio = round(zy_mix_user / len(zy_order_and_paid_user_2) * 100)
"""
* 7.17 更新
1. 下单人数、订单数、下单金额
2. 付款人数、付款订单数、付款订单金额
3. 首次下单人数、首次下单数、首次下单金额
4. 首次付款人数、首次付款订单数、首次付款订单金额
"""
# 下单
zy_bg_user = ts_order['zy_user']
zy_bg_count = ts_order['zy_count']
zy_bg_amount = ts_order['zy_amount']
# 付款
zy_paid_bg_user = ts_order['zy_paid_user']
zy_paid_bg_count = ts_order['zy_paid_count']
zy_paid_bg_amount = ts_order['zy_paid_amount']
# 自营首次下单并付款
zy_first_order = ExOrder('').first_order_detail(
condition={'start_time': last_sat_ts, 'end_time': fri_day_ts + 86400, 'order_goods_type': "(2)", 'condition': ['o.order_id > 0']})
ts_zy_first_order = TsDaily('', zy_first_order).trans_order(exchange)
zy_first_user = ts_zy_first_order['zy_user']
zy_first_count = ts_zy_first_order['zy_count']
zy_first_amount = ts_zy_first_order['zy_amount']
zy_first_paid_user = ts_zy_first_order['zy_paid_user']
zy_first_paid_count = ts_zy_first_order['zy_paid_count']
zy_first_paid_amount = ts_zy_first_order['zy_paid_amount']
"""
* 7.17 更新
1. 自营新用户复购率
2. 新用户复购率
3. 自营用户下单联营的占比
"""
# 首次下单并付款 上周
last_week_first_order = ExOrder('').first_order_detail(
condition={'start_time': last_sat_ts - 86400 * 7, 'end_time': fri_day_ts + 86400 - 86400 * 7,
'order_goods_type': "(1,2)", 'condition': ['o.status > 2']})
# 下单并付款 本周
this_week_order = ExOrder('').order_and_paid_detail(
condition={'start_time': last_sat_ts, 'end_time': fri_day_ts + 86400, 'order_goods_type': "(1,2)",
'condition': ['o.status > 2']})
trans_mixed = TsDaily('', None).trans_mixed(last_week_first_order, this_week_order)
"""
* 8.8 更新
1. 新付款用户数
"""
fs_paid_user = ExOrder('').first_paid_user(
condition={'start_time': last_sat_ts, 'end_time': fri_day_ts + 86400, 'condition': ['order_id > 0']})
rs = {'pv': avg_pv,
'uv': avg_uv,
'depth': avg_depth,
'reg_user': reg_user,
'reg_trans': reg_radio,
'preserve_radio': preserve['preserve_radio'],
'active_user': ac_user,
'new_order_user': len(fs_user),
'new_order_paid_user': len(fs_paid_user),
'utm_new_paid_user': 0,
'order_user': ts_order['order_user'],
'paid_user': ts_order_paid['order_user'],
'order_count': ts_order['order_count'],
'paid_count': ts_order_paid['order_count'],
'order_amount': ts_order['order_amount'],
'paid_amount': ts_order_paid['order_amount'],
'cancel_order': len(cancel_order),
'zy_order_user': len(zy_user),
'zy_sum_user': len(zy_ly_user),
'online_user': online_user,
'order_and_paid': order_and_paid_user_radio,
'zy_order_and_paid': zy_order_and_paid_user_radio,
'zy_bg_user': zy_bg_user,
'zy_bg_count': zy_bg_count,
'zy_bg_amount': zy_bg_amount,
'zy_paid_bg_user': zy_paid_bg_user,
'zy_paid_bg_count': zy_paid_bg_count,
'zy_paid_bg_amount': zy_paid_bg_amount,
'zy_first_user': zy_first_user,
'zy_first_count': zy_first_count,
'zy_first_amount': zy_first_amount,
'zy_first_paid_user': zy_first_paid_user,
'zy_first_paid_count': zy_first_paid_count,
'zy_first_paid_amount': zy_first_paid_amount,
'first_order_and_paid': trans_mixed['all_radio'],
'zy_first_order_and_paid': trans_mixed['zy_radio'],
'cal_ts': mon_day}
# 写DB
LoadMysql.simple_dict_load(col=col,
table='lie_operate_weekly',
data=[rs],
db=ConnList.Dashboard(),
cal_time=False)
PiEmail.pipeline_operate_weekly()
@staticmethod
def pipeline_crm_user():
start_time = 0
end_time = DateHandler.date_time(0)
db = ConnList.Order()
wr_db = ConnList.WrCrm()
user = ExCrm('').crm_user(start_time, end_time)
ts_user = TsCrm(db, wr_db, user)
print(len(user))
ts_user.is_order()
ts_user.last_order()
ts_user.order_num()
ts_user.model_num()
ts_user.order_amount()
ts_user.paid_amount()
ts_user.contact_info()
ts_user.iap_data()
print(len(user))
pipeline/pi_email.py 0 → 100644
from utils.msg_handler import MsgHandler
from utils.date_handler import DateHandler
from extract.ex_dashboard import ExDashboard
class PiEmail:
"""
专卖下架邮件
"""
@staticmethod
def pipeline_zm_down():
# 获取数据
key = 'djdj93ichuntj56dksisearchdj45eieapi'
url = "http://so12.ichunt.com/search/ServerApi/encodedCount"
data = MsgHandler.get_encrypt_msg(key, url)
# 获取邮件列表
condition = {'condition': ['email_id = 5', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 数据格式转换
send_data = {'code': '', 'num': '', 'canal': '', 'yes_day': DateHandler.now_date(1, 1)}
for d in data:
send_data['code'] += d['encoded'] + '<br>'
send_data['num'] += d['num'] + '<br>'
send_data['canal'] += d['canal'] + '<br>'
# 发送邮件
MsgHandler.send_email(send_data, email_list, 'zm-down-daily')
"""
专卖提前下架预警
"""
@staticmethod
def pipeline_zm_pre_down(data):
# 获取邮件列表
condition = {'condition': ['email_id = 8', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 数据格式转换
send_data = {'code': '', 'num': '', 'canal': '', 'yes_day': DateHandler.now_date(1, 1)}
for d in data:
send_data['code'] += str(d['purchase_uid']) + '<br>'
send_data['num'] += str(d['count']) + '<br>'
send_data['canal'] += d['supplier_code'] + '<br>'
# 发送邮件
MsgHandler.send_email(send_data, email_list, 'zm-warn')
"""
库存预警
"""
@staticmethod
def pipeline_safe_stock(count):
# 获取邮件列表
condition = {'condition': ['email_id = 3', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 数据格式转换
info = '下载库存预警文件' if count > 0 else '无库存预警文件下载'
link = 'http://shuju.ichunt.net/analysis/stockDownload?' + DateHandler.now_date(0, 1) if count > 0 else ''
send_data = {'day': DateHandler.now_date(0, 1),
'num': count,
'info': info,
'link': link}
# 发送邮件
MsgHandler.send_email(send_data, email_list, 'stock-report')
"""
sku曝光
"""
@staticmethod
def pipeline_sku_expose(data):
# 获取邮件列表
condition = {'condition': ['email_id = 6', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 发送邮件
MsgHandler.send_email(data, email_list, 'sku-expose')
"""
搜索无结果
"""
@staticmethod
def pipeline_search_no_result(data, keyword):
# 获取邮件列表
condition = {'condition': ['email_id = 2', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 发送邮件
MsgHandler.send_email(data, email_list, keyword)
"""
核心日报
"""
@staticmethod
def pipeline_core_report(data, keyword):
# 获取邮件列表
condition = {'condition': ['email_id = 1', 'status = 1']}
email_list = ExDashboard('采集').email_list(condition)
# 发送邮件
MsgHandler.send_email(data, email_list, keyword)
@staticmethod
def pipeline_zyly_match(data):
# 获取邮件列表
condition = {'condition': ['email_id = 7', 'status = 1']}
email_list = ExDashboard('').email_list(condition)
# 发送邮件
MsgHandler.send_email(data, email_list, 'zyly_price_match')
@staticmethod
def pipeline_operate_daily():
# 获取邮件列表
condition = {'condition': ['email_id = 9', 'status = 1']}
email_list = ExDashboard('').email_list(condition)
# 数据格式转换
link = 'http://shuju.ichunt.net/api/ApiOperateDaily?day=' + DateHandler.now_date(0, 1)
send_data = {'day': DateHandler.now_date(0, 1),
'link': link}
# 发送邮件
MsgHandler.send_email(send_data, email_list, 'operate_daily')
@staticmethod
def pipeline_operate_weekly():
# 获取邮件列表
condition = {'condition': ['email_id = 10', 'status = 1']}
email_list = ExDashboard('').email_list(condition)
# 数据格式转换
link = 'http://shuju.ichunt.net/api/ApiOperateWeekly'
send_data = {'link': link}
# 发送邮件
MsgHandler.send_email(send_data, email_list, 'operate_weekly')
pipeline/pi_erp.py 0 → 100644
import math
import traceback
from extract.ex_erp import ExERP
from translate.ts_erp import TsERP
from utils.db_handler import DBHandler
from config.conn_list import ConnList
from utils.msg_handler import MsgHandler
from utils.date_handler import DateHandler
from utils.excel_handler import ExcelHandler
from utils.date_handler import DateHandler
class PiErp:
def __init__(self):
super().__init__()
self.erp = ExERP(DateHandler.now_date(0, 1))
self.ts_erp = TsERP()
# 业务数据拉取
def pipeline_erp_company(self, credit, credit_source):
company_list = self.erp.get_erp_list(credit)
total_count = 0
cmp_size = len(company_list)
# 清空数据
self.ts_erp.truncate_erp('lie_basic_detail', credit_source)
self.ts_erp.truncate_erp('lie_basic_info', credit)
for row in company_list:
try:
rd = []
ad = []
cmp_code = row['cmp_code']
cmp_name = row['cmp_name']
res = self.erp.get_erp_company(cmp_name)
total_count += len(res)
print(cmp_code, len(res))
for row in res:
poolfundNo = row[0][1] # 资金池编号
poolfundSourceNo = row[1][1] # 资金池来源编码
entruNo = row[2][1] # 入仓号
tradeAmount = float(row[3][1]) # 交易金额
bizdate = row[4][1] # 业务日期
refundDate = str(row[5][1]).replace(' ', '') # 回款日期
term = int(row[6][1]) if type(row[6][1]) == int else 0 # 期限
refundAMt = float(row[7][1]) # 回款金额
isSettle = 0 # 是否结清
overdueDays = 0 # 逾期支付天数
overdueAmount = 0.00 # 逾期支付金额
receDate = row[8][1] # 应收日期
iscredit = row[9][1] # 信用, 0 无信用，1有信用
gross_profit = float(row[10][1]) if type(row[10][1]) == float else 0.0 # 毛利
poolfundType = row[11][1] # 资金池类型
tolerance = 10 # 容差值，目前默认为10
source_type = row[12][1] # 来源类型
# 来源
if source_type == '供应链':
source_type = 1
else:
source_type = 2
# 日期时间转换
biz_ts = DateHandler.str_to_unix(bizdate, fmt="%Y-%m-%d") if bizdate != "" else 0
today_ts = DateHandler.date_time(0)
# 金额是否结清，1: 已结清 2：未结清
is_close = math.isclose(tradeAmount, refundAMt)
if is_close:
isSettle = 1
else:
isSettle = 0
# 信用处理
iscredit = iscredit if iscredit != "" else 0
# 应收日期，应收日期
receDate_ts = DateHandler.str_to_unix(receDate, fmt="%Y-%m-%d") if receDate != "" else 0
# 逾期支付天数，逾期支付天数=回款时间-应收时间
if refundDate != '':
refundDate_ts = DateHandler.str_to_unix(refundDate, fmt="%Y-%m-%d")
due = (refundDate_ts - receDate_ts) / 86400
overdueDays = due
else:
# 回款时间延至今天
refundDate_ts = today_ts
if today_ts > receDate_ts:
due = (today_ts - receDate_ts) / 86400
overdueDays = due
# 逾期支付金额，逾期支付金额=逾期天数>0的回款金额
if overdueDays > 0:
overdueAmount = refundAMt
# 数据集合
dt = {
'poolfundNo': poolfundNo,
'poolfundSourceNo': poolfundSourceNo,
'entruNo': entruNo,
'tradeAmount': tradeAmount,
'bizdate': biz_ts,
'refundDate': refundDate_ts,
'term': term,
'refundAMt': refundAMt,
'isSettle': isSettle,
'overdueDays': overdueDays,
'receDate': receDate_ts,
'company_code': cmp_code,
'overdueAmount': overdueAmount,
'iscredit': iscredit,
'gross_profit': gross_profit,
'poolfundType': poolfundType,
'tolerance': tolerance,
'source_type': source_type
}
# 筛选了有信用的数据集
if iscredit == 1:
rd.append(dt)
# 全部数据集
ad.append(dt)
# 计算公司汇总值
self.pipeline_erp_info(ad, credit)
# 写入数据
self.ts_erp.load_erp(rd, credit_source)
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.format_exc())
# 发送消息
MsgHandler.send_dd_msg('【风控报警】：公司数量%d，订单总数量%d' % (cmp_size, total_count))
# 业务数据计算
def pipeline_erp_info(self, data, credit):
# 初始化字典
ct = self.ts_erp.init_erp_info()
try:
for row in data:
order_amount = row['tradeAmount'] # 下单金额
gross_profit = row['gross_profit'] # 毛利
deadline_day = row['term'] # 账期期限
delay_day = row['overdueDays'] # 逾期天数
entru_no = row['entruNo'] # 入仓号
business_time = row['bizdate'] # 下单时间
cmp_code = row['company_code'] # 公司编号
iscredit = row['iscredit']
# 公司编码
ct['cmp_code'] = cmp_code
# 首次下单时间
first_order_time = ct['first_order_time']
if (first_order_time == 0 or (first_order_time != 0 and first_order_time > business_time)):
ct['first_order_time'] = business_time
# 历史交易金额（下单总额）
ct['total_order_amount'] += order_amount
# 历史累计毛利
ct['total_gross_profit'] += gross_profit
# 近3个月交易
if self.ts_erp.is_between_time(business_time, 3):
ct['recently_thr_total_amount'] += order_amount
ct['recently_thr_total_count'] += 1
ct['recently_thr_max_amount'] = max(ct['recently_thr_max_amount'], order_amount)
# 近6个月交易
if self.ts_erp.is_between_time(business_time, 6):
ct['recently_six_total_amount'] += order_amount
ct['recently_six_total_count'] += 1
ct['recently_six_max_amount'] = max(ct['recently_six_max_amount'], order_amount)
# 上个月交易额
if self.ts_erp.is_between_time(business_time, 1):
ct['last_month_amount'] += order_amount
# 已获账期金额
if deadline_day > 0:
ct['reveive_period_aomunt'] += order_amount
# 历史逾期次数
if delay_day > 0 and iscredit == 1:
ct['total_delay_times'] += 1
thr_count = 3
six_count = 6
ct['recently_thr_average_amount'] = ct['recently_thr_total_amount'] / thr_count
ct['recently_six_average_amount'] = ct['recently_six_total_amount'] / six_count
# 写入数据
if ct['cmp_code'] != '':
self.ts_erp.load_erp_info(ct, credit)
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.format_exc())
# 业务数据按月份计算
def pipeline_erp_month(self, is_tolerance, con_str, table, credit, credit_source):
# 初始化
cmp_dt = {}
# 清空数据
self.ts_erp.truncate_erp(table, credit)
# 获取ERP数据
erp_data = self.erp.get_erp_data(con_str, credit_source)
print(len(erp_data))
# 数据归类
for row in erp_data:
try:
erp_id = row['id'] # ID
order_amount = float(row['order_amount']) # 下单金额
gross_profit = float(row['gross_profit']) # 毛利
deadline_day = row['deadline_day'] # 账期期限
delay_day = row['delay_day'] # 逾期天数
entru_no = row['entru_no'] # 入仓号
business_time = row['business_time'] # 下单时间
cmp_code = row['erp_company_code'] # 公司编号
return_amount = float(row['return_amount']) # 回款金额
return_time = row['return_time'] # 回款时间
receive_time = row['receive_time'] # 应收日期
tolerance = row['tolerance'] # 容差值
rt_rec_fmt = DateHandler.unix_to_date(receive_time, fmt="%Y-%m")
rt_bus_fmt = DateHandler.unix_to_date(business_time, fmt="%Y-%m")
# 容差是否计算
if is_tolerance != True:
tolerance = 0
else:
if cmp_code == 'GGN0001232' or cmp_code == 'MY002':
continue
# 初始化公司字典
if cmp_code not in cmp_dt:
cmp_dt[cmp_code] = {}
# 初始化应收时间
if rt_rec_fmt not in cmp_dt[cmp_code]:
cmp_dt[cmp_code][rt_rec_fmt] = self.ts_erp.init_erp_month_temp()
cmp_detail = cmp_dt[cmp_code][rt_rec_fmt]
if return_amount > 0:
# 每笔付款账期合计
cmp_detail['delay_sum_day'] += int((return_time-business_time) / 86400)
if delay_day > 0 + tolerance:
# 逾期金额
cmp_detail['delay_amount'] += order_amount
# 逾期笔数
cmp_detail['delay_count'] += 1
# 逾期总天数
cmp_detail['delay_day'] += delay_day
if delay_day < 0 + tolerance:
# 容差范围内收款金额
cmp_detail['tolerance_receive_amount'] += return_amount
# 容差范围内收款笔数
cmp_detail['tolerance_receive_count'] += 1
# 按期交货总金额
cmp_detail['schedule_delivery_amount'] += order_amount
# 收款总额
cmp_detail['receive_amount'] += order_amount
# 收款笔数
cmp_detail['receive_count'] += 1
# 每笔付款账期合计
cmp_detail['period_day'] += int((return_time - business_time) / 86400)
# 给定账期
cmp_detail['appoint_tolerance'] += int((receive_time - business_time) / 86400)
# 初始化下单时间
if rt_bus_fmt not in cmp_dt[cmp_code]:
cmp_dt[cmp_code][rt_bus_fmt] = self.ts_erp.init_erp_month_temp()
cmp_bus_detail = cmp_dt[cmp_code][rt_bus_fmt]
if return_amount < 0:
# 退货总金额
cmp_bus_detail['return_amount'] += return_amount
if order_amount > 0:
# 出货总金额
cmp_bus_detail['unload_amount'] += order_amount
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.format_exc())
# 汇总计算
for cmp_code in cmp_dt:
try:
fmt_dt = cmp_dt[cmp_code]
for fmt in fmt_dt:
cmp_detail = fmt_dt[fmt]
return_amount = cmp_detail['return_amount']
unload_amount = cmp_detail['unload_amount']
receive_amount = cmp_detail['receive_amount']
receive_count = cmp_detail['receive_count']
delay_sum_day = cmp_detail['delay_sum_day']
delay_count = cmp_detail['receive_count']
period_day = cmp_detail['period_day']
# 平均付款天数
if delay_count != 0:
cmp_detail['delay_avg_day'] = delay_sum_day / delay_count
# 平均给定账期
if receive_count != 0:
cmp_detail['appoint_tolerance'] /= receive_count
else:
cmp_detail['appoint_tolerance'] = 0
appoint_tolerance = cmp_detail['appoint_tolerance']
# 时间格式转换
#cmp_detail['period_day'] /= 86400
# 当前客户账期使用程度算法
if (receive_count != 0) and (appoint_tolerance != 0):
cmp_detail['period_user_level'] = period_day / receive_count / appoint_tolerance
# 交货总金额
cmp_detail['delivery_amount'] = return_amount + unload_amount
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.print_exc())
# 写入数据
self.ts_erp.load_erp_month(cmp_dt, table, credit)
# 钉钉消息
cmp_size = len(cmp_dt)
MsgHandler.send_dd_msg('【风控报警】：basic_month表写入数据%d' % (cmp_size))
# 按月计算权重
def pipeline_erp_weight(self, table, db):
month_list = self.erp.get_erp_diff_month(table, db)
for month in month_list:
try:
print(month)
# 近六个月月份
months = self.ts_erp.recently_six_month(str(month))
# 近六个月数据
six_data = self.erp.get_six_data(months, table, db)
# 结果集
rd = []
weight_A = 0
weight_B = 0
period_weight_A = 0
period_weight_B = 0
total_amount = 0
total_use_level = 0
user_level = 0
period_platform_level = 0
period_use_times_single = 0
period_use_times_six = 0
period_user_level_six = 0
for sd in six_data:
cmp_code = sd['cmp_code']
tolerance = sd['tolerance']
delay_avg_day = sd['delay_avg_day']
use_level = sd['use_level']
receive_amount = sd['receive_amount']
weight_A += delay_avg_day * receive_amount
weight_B += tolerance * receive_amount
total_amount += receive_amount
total_use_level += use_level
if total_amount != 0:
period_weight_A = weight_A / total_amount
period_weight_B = weight_B / total_amount
if period_weight_B != 0:
period_platform_level = period_weight_A / period_weight_B
for sd in six_data:
cmp_code = sd['cmp_code']
use_level = sd['use_level']
total_tolerance = sd['total_tolerance']
delay_avg_day = sd['delay_avg_day']
if period_platform_level != 0:
period_use_times_single = use_level / period_platform_level
period_user_level_six = delay_avg_day / total_tolerance if total_tolerance != 0 else 0
period_use_times_six = period_user_level_six / period_platform_level
rd = {
'month' : month,
'cmp_code' : cmp_code,
'period_weight_A' : period_weight_A,
'period_weight_B' : period_weight_B,
'period_platform_level' : period_platform_level,
'period_use_times_single' : period_use_times_single,
'period_use_times_six' : period_use_times_six
}
self.ts_erp.update_basic_month(rd, table, db)
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.format_exc())
# 定时更新ERP_CODE
def pipeline_erp_CmpCode(self):
try:
chain_db = ConnList.Chain()
credit_db = ConnList.Credit()
sql = "SELECT id,company_name FROM lie_com_credits WHERE erp_company_code = \'\'"
result = DBHandler.read(credit_db, sql)
for row in result:
com_id = row[0]
company_name = row[1]
sql = "SELECT customer_code \
FROM lie_company c \
LEFT JOIN lie_customer u ON c.company_id = u.company_id\
WHERE company_full_name = \'%s\' LIMIT 1" % company_name
exist = DBHandler.read(chain_db, sql)
if len(exist) > 0:
company_code = exist[0][0]
if company_code is not None:
sql = "UPDATE lie_com_credits SET erp_company_code = \'%s\' WHERE id = %d" % (company_code, com_id)
DBHandler.update(credit_db, sql)
except:
MsgHandler.send_dd_msg('【风控报警】：%s' % traceback.print_exc())
pipeline/pi_goods.py 0 → 100644
from extract.ex_ickey import ExIckey
from extract.ex_goods import ExGoods
from extract.ex_order import ExOrder
from extract.ex_dashboard import ExDashboard
from extract.ex_purchase import ExPurchase
from translate.ts_goods import TsGoods
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
from utils.date_handler import DateHandler
from pipeline.pi_email import PiEmail
class PiGoods:
"""
自营猎芯联营SKU匹配
"""
@staticmethod
def pipeline_zylxly_goods():
where = {'condition': ['status = 1']}
ex_goods = ExGoods('自营数据')
zy_data = ex_goods.ex_zy_goods(where)
# 获取猎芯联营SKU_ID
data = ex_goods.ex_ly_goods()
# 获取猎芯联营型号
ts_goods = TsGoods('', data)
ts_data = ts_goods.trans_goods_name()
# 自营联营同一型号匹配
print(len(zy_data), len(ts_data))
final_result = ts_goods.trans_match_name(zy_data, ts_data, 6.88, 1.16)
match_result = ts_goods.trans_zy_low_price(final_result)
"""
自营备货
"""
@staticmethod
def pipeline_zy_stock():
# 获取云汉指数数据
ex_ickey = ExIckey('')
ickey = ex_ickey.ex_ickey_index_goods()
# 获取立创自营数据
ts_goods = TsGoods(name='', data=ickey)
ts_goods.trans_lc_data()
ts_goods.trans_lx_search()
# final_result = ts_goods.return_data()
# 写入DB
ts_goods.trans_load_gn()
"""
专卖下架提前预警
"""
@staticmethod
def pipeline_zm_warn():
# 获取联营供应商数据
where = {'condition': ['status = 2']}
ex_goods = ExGoods('')
sup = ex_goods.ex_ly_supplier(where)
# 数据处理
ts_goods = TsGoods('', data=sup)
ts_sup = ts_goods.trans_zm_warn()
# 发送邮件
PiEmail.pipeline_zm_pre_down(ts_sup)
"""
处理指定人员下的联营渠道数据
参数：
10034 陈泽彬
10044 庞力
10076 许金荣
"""
@staticmethod
def pipeline_special_canal():
guy = [[10034, '陈泽彬'], [10044, '庞力'], [10076, '许金荣']]
guy_str = '('
# name_str = '('
for i in range(0, len(guy)):
if i != len(guy) - 1:
guy_str += str(guy[i][0]) + ', '
# name_str += '\'' + str(guy[i][1]) + '\'' + ', '
else:
guy_str += str(guy[i][0]) + ')'
# name_str += '\'' + str(guy[i][1]) + '\'' + ')'
where = {'condition': ['status = 2', 'channel_uid in %s' % guy_str]}
erp_where = {'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
# 'condition': ['sale_man in %s' % name_str]
'condition': ['source_type = \'ERP\'']}
sup = ExGoods('').ex_ly_supplier(where)
erp = ExGoods('').ex_erp_goods(erp_where)
rd = TsGoods('', sup).trans_special_canal(erp)
col = ['supplier_code', 'supplier_name', 'effect_num', 'order_num', 'cal_ts', 'insert_time']
LoadMysql.sample_load(col, 'lie_special_order_cal', rd, db=ConnList.Dashboard(), cal_time=False)
"""
自营每日汇总
汇总字段
品牌
一级类目
"""
@staticmethod
def pipeline_zy_daily_summary():
# 自营曝光数据
zy_ep = ExDashboard('').zy_goods({'start_time': DateHandler.date_time(1)})
o_w = {'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
'condition': ['o.order_goods_type = 2']}
# o_w = {'start_time': DateHandler.date_time(27),
# 'end_time': DateHandler.date_time(-1),
# 'condition': ['o.order_goods_type = 2']}
# 订单数据
order = ExOrder('').order_items(o_w)
o_w['condition'].append('o.status > 2')
p_order = ExOrder('').order_paid_items(o_w)
# 采购数据
pur = ExPurchase('').purchase_items({'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
'condition': ['p.status > 1']})
# 曝光计算
rd = TsGoods('', zy_ep).trans_zy_expose_type()
# 订单计算
TsGoods('', order).trans_zy_order_type(rd)
TsGoods('', p_order).trans_zy_paid_order_type(rd)
# 采购计算
TsGoods('', pur).trans_zy_purchase(rd)
# 写入DB
col = ['expose', 'order_count', 'paid_order', 'cost', 'pur_cost', 'name_type', 'name', 'cal_ts']
for r in ['brand', 'class']:
result = []
for d in rd[r]:
rd[r][d]['name_type'] = 1 if r == 'brand' else 2
rd[r][d]['name'] = d
rd[r][d]['cal_ts'] = DateHandler.now_date(1, 1)
# rd[r][d]['cal_ts'] = DateHandler.now_date(0, 1)
result.append(rd[r][d])
LoadMysql.simple_dict_load(col,
'lie_zy_summary',
result,
db=ConnList.Dashboard(),
cal_time=False)
pipeline/pi_lx_log.py 0 → 100644
import subprocess
import time
import re
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from config.conn_list import ConnList
class PiLxLog:
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.db = ConnList.Dashboard()
self.page_count = {}
self.status_count = {}
self.ip_section = {}
self.day = DateHandler.now_date(1, 1)
self.mon = {'JAN': '01', 'FEB': '02', 'MAR': '03', 'APR': '04', 'MAY': '05', 'JUN': '06', 'JUL': '07', 'AUG': '08', 'SEP': '09', 'OCT': '10', 'NOV': '11', 'DEC': '12'}
self.match = {
'zy': '((.*)/item/(.*)|(.*)/xianhuo(.*)|(.*)/product(.*))',
'ly': '((.*)goods_(.*)|(.*)/spu/(.*)|(.*)/brand/list/(.*))',
'search': '((.*)/s/(.*))',
'ic': '((.*)/ic/(.*))',
'info': '((.*)news.html(.*)|(.*)/article/(.*))'
}
self.block_ip = ['39.156.65', '47.92.125', '14.215.176']
def merge_file(self):
# HDFS数据写入本地
day = self.day
hdfs_file = '/lx_log/lx_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + '/small/*'
des_file = ' /data3/hdfs_data/lx_log'
cmd = 'hadoop dfs -get ' + hdfs_file + des_file
subprocess.getoutput(cmd)
# 合并小文件
cmd = 'find' + des_file + ' -type f -exec cat {} \; >' + des_file + '/sum'
subprocess.getoutput(cmd)
# 文件回传HDFS
cmd = 'hadoop dfs -put /data3/hdfs_data/lx_log/sum ' + '/lx_log/lx_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2]
subprocess.getoutput(cmd)
# 删除本地文件
cmd = 'rm -f /data3/hdfs_data/lx_log/*'
subprocess.getoutput(cmd)
# 删除HDFS小文件
hdfs_file = '/lx_log/lx_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + '/small/*'
cmd = 'hadoop dfs -rm -r ' + hdfs_file
subprocess.getoutput(cmd)
def merge_ly_file(self):
# HDFS数据写入本地
day = self.day
hdfs_file = '/ly_log/ly_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + '/small/*'
des_file = ' /data3/hdfs_data/ly_log'
cmd = 'hadoop dfs -get ' + hdfs_file + des_file
subprocess.getoutput(cmd)
# 合并小文件
cmd = 'find' + des_file + ' -type f -exec cat {} \; >' + des_file + '/sum'
subprocess.getoutput(cmd)
# 文件回传HDFS
cmd = 'hadoop dfs -put /data3/hdfs_data/ly_log/sum ' + '/ly_log/ly_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2]
subprocess.getoutput(cmd)
# 删除本地文件
cmd = 'rm -f /data3/hdfs_data/ly_log/*'
subprocess.getoutput(cmd)
# 删除HDFS小文件
hdfs_file = '/ly_log/ly_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + '/small/*'
cmd = 'hadoop dfs -rm -r ' + hdfs_file
subprocess.getoutput(cmd)
def get_ly_hdfs_data(self):
# 读取HDFS数据
day = self.day
hdfs_file = '/ly_log/ly_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + "/sum"
hdfs_data = DBHandler.hdfs_read(hdfs_file)
return hdfs_data
def get_hdfs_data(self):
# 读取HDFS数据
day = self.day
hdfs_file = '/lx_log/lx_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + "/sum"
hdfs_data = DBHandler.hdfs_read(hdfs_file)
return hdfs_data
def wash_data(self, data):
f = open('/data3/hdfs_data/spider_url/url.txt', 'w')
for row in data:
try:
row = row.decode("utf-8")
if 'Baiduspider' in row:
arr = row.split(" ")
ip = arr[0]
time_base = arr[3]
url = arr[6]
status = int(arr[8])
# 屏蔽IP
for block_ip in self.block_ip:
if block_ip in ip:
continue
time_str = self.time_analyzing(time_base)
time_ts = DateHandler.str_to_unix(time_str)
page = self.url_analyzing(url)
self.ip_section_analyzing(ip)
if page not in self.page_count:
self.page_count[page] = 1
else:
self.page_count[page] += 1
if status not in self.status_count:
self.status_count[status] = 1
else:
self.status_count[status] += 1
if status >= 400:
self.insert_seo_url(url, status, time_ts, 'lie_seo_spider_url')
else:
line = url + "|" + str(time_ts) + "|" + ip
f.write(line + "\n")
f.flush()
except:
pass
self.insert_seo_status(self.status_count, 'lie_seo_spider_status')
self.insert_seo_daily(self.page_count)
self.insert_seo_ip_section(self.ip_section)
f.close()
def wash_ly_data(self, data):
for row in data:
try:
row = row.decode("utf-8")
arr = row.split(" ")
url = arr[6]
status = int(arr[8])
time_base = arr[3]
time_str = self.time_analyzing(time_base)
time_ts = DateHandler.str_to_unix(time_str)
if '.html' in url or '/' == url:
if status not in self.status_count:
self.status_count[status] = 1
else:
self.status_count[status] += 1
if status >= 400:
self.insert_seo_url(url, status, time_ts, 'lie_seo_ly_url')
except:
pass
self.insert_seo_status(self.status_count, 'lie_seo_ly_status')
# 时间分析
def time_analyzing(self, time_str):
# example: 29/Aug/2019:15:38:00
time_str = time_str[1:]
split_1 = time_str.split("/")
split_2 = split_1[2].split(":")
day = split_1[0]
mon = self.mon[split_1[1].upper()]
year = split_2[0]
hour = split_2[1]
minute = split_2[2]
sec = split_2[3]
return (year + '-' + mon + '-' + day + ' ' + hour + ':' + minute + ':' + sec)
# URL分析
def url_analyzing(self, url):
zy = self.match['zy']
ly = self.match['ly']
search = self.match['search']
ic = self.match['ic']
info = self.match['info']
if re.match(zy, url, re.M | re.I):
return '自营'
elif re.match(ly, url, re.M | re.I):
return '联营'
elif re.match(search, url, re.M | re.I):
return '搜索'
elif re.match(ic, url, re.M | re.I):
return 'IC'
elif re.match(info, url, re.M | re.I):
return '资讯'
else:
return '其他'
# IP段累加统计
def ip_section_analyzing(self, ip):
if re.match('([0-9]+)\.([0-9]+)\.([0-9]+)\.([0-9]+)', ip, re.M | re.I):
ip_arr = ip.split('.')
new_ip = '%s.%s.%s' % (ip_arr[0], ip_arr[1], ip_arr[2])
if new_ip not in self.ip_section:
self.ip_section[new_ip] = 1
else:
self.ip_section[new_ip] += 1
def pipeline_lx_log(self):
self.merge_file()
data = self.get_hdfs_data()
self.wash_data(data)
def pipeline_ly_log(self):
self.merge_ly_file()
data = self.get_ly_hdfs_data()
self.wash_ly_data(data)
def insert_seo_url(self, url, status, time_ts, table):
sql = "INSERT INTO %s (url,status,cal_ts,spider_time) VALUES (\'%s\',\'%s\',\'%s\',%d)" % (table,url,status,self.day,time_ts)
DBHandler.insert(self.db, sql)
def insert_seo_status(self, status_count, table):
for status in status_count:
count = status_count[status]
sql = "INSERT INTO %s (status,count,cal_ts) VALUES (\'%s\',\'%s\',\'%s\')" % (table, status,count,self.day)
DBHandler.insert(self.db, sql)
def insert_seo_daily(self, page_count):
for page in page_count:
count = page_count[page]
sql = "INSERT INTO lie_seo_spider_daily (page,count,cal_ts) VALUES (\'%s\',\'%s\',\'%s\')" % (page,count,self.day)
DBHandler.insert(self.db, sql)
def insert_seo_ip_section(self, ip_section):
for ip in ip_section:
count = ip_section[ip]
sql = "INSERT INTO lie_seo_spider_ip_section (ip_section,spider_count,cal_ts) VALUES (\'%s\',\'%s\',\'%s\')" % (ip,count,self.day)
DBHandler.insert(self.db, sql)
pipeline/pi_lx_log_url.py 0 → 100644
import re
import subprocess
import requests
import json
import time
import multiprocessing as mp
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from concurrent.futures import ThreadPoolExecutor
db = ConnList.Dashboard()
def deal_data(url, tid, dur, table):
time.sleep(dur)
r = requests.get(url)
res = r.json()
included_status = res['has_included']
included_time = res['included_time']
now_ts = DateHandler.now_datetime()
if included_status == 1:
if re.match(('([0-9]+)年([0-9]+)月([0-9]+)日 ([0-9]+):([0-9]+):([0-9]+)'), included_time, re.M | re.I):
included_time = DateHandler.str_to_unix(included_time, "%Y年%m月%d日 %H:%M:%S")
sql = "UPDATE %s SET is_include=%d,include_time=%d,update_time=%d WHERE id=%d" % (table,included_status,included_time,now_ts,tid)
else:
included_time = 0
sql = "UPDATE %s SET is_include=%d,include_time=%d,update_time=%d WHERE id=%d" % (table,included_status,included_time,now_ts,tid)
else:
included_time = 0
sql = "UPDATE %s SET is_include=%d,include_time=%d,update_time=%d WHERE id=%d" % (table,included_status,included_time,now_ts,tid)
DBHandler.update(db, sql)
class PiLxLogUrl:
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.db = ConnList.Dashboard()
self.day = DateHandler.now_date(1, 1)
self.ip_section = {}
self.post_url = "http://127.0.0.1:12588/seocheck"
self.executor = ThreadPoolExecutor(max_workers=20)
def del_file(self):
cmd = "rm -f /data3/hdfs_data/spider_url/url.txt"
subprocess.getoutput(cmd)
def read_file(self):
now_ts = DateHandler.now_datetime()
with open('/data3/hdfs_data/spider_url/url.txt', 'r', encoding='utf-8') as f:
line = f.readline()
while line:
try:
arr = line.split('|')
url = self.reg_url(arr[0])
time = int(arr[1])
ip = arr[2]
line = f.readline()
sql = "INSERT INTO lie_seo_bd_record (url,spider_time,is_include,include_time,update_time,ip) VALUES (\'%s\',%d,%d,%d,%d,\'%s\')" % (url,time,0,0,now_ts,ip)
DBHandler.insert(self.db, sql)
except:
pass
def reg_url(self, url):
if ('?' in url):
return url.split('?')[0]
def read_data(self):
sql = "SELECT id,url,ip,is_include FROM lie_seo_bd_record"
data = DBHandler.read(self.db, sql)
return data
def include_baidu(self, data):
p1 = mp.Pool(processes=10)
for row in data:
tid = row[0]
url = row[1]
url = "http://127.0.0.1:12588/seocheck?target=www.ichunt.com" + url
p1.apply_async(deal_data, (url, tid, 0.1, 'lie_seo_bd_record'))
p1.close()
p1.join()
# 收录分析
def include_analyzing(self, data):
for row in data:
ip = row[2]
is_include = row[3]
if (re.match('([0-9]+)\.([0-9]+)\.([0-9]+)\.([0-9]+)', ip, re.M | re.I)) and (is_include == 1):
ip_arr = ip.split('.')
new_ip = '%s.%s.%s' % (ip_arr[0], ip_arr[1], ip_arr[2])
if new_ip not in self.ip_section:
self.ip_section[new_ip] = 1
else:
self.ip_section[new_ip] += 1
# 指定页面收录分析
def include_appoint_analyzing(self):
sql = "SELECT id,url FROM lie_seo_appoint_record"
result = DBHandler.read(self.db, sql)
for row in result:
tid = row[0]
url = "http://127.0.0.1:12588/seocheck?target=" + row[1]
deal_data(url, tid, 0.1, 'lie_seo_appoint_record')
# 收录插入
def insert_seo_ip_section(self):
for ip in self.ip_section:
count = self.ip_section[ip]
sql = "INSERT INTO lie_seo_include_ip_section (ip_section,include_count,cal_ts) VALUES (\'%s\',\'%s\',\'%s\')" % (ip,count,self.day)
DBHandler.insert(self.db, sql)
def pipeline_lx_log_url(self):
self.read_file()
data = self.read_data()
self.include_baidu(data)
self.include_analyzing(data)
self.include_appoint_analyzing()
self.insert_seo_ip_section()
self.del_file()
pipeline/pi_market.py 0 → 100644
from extract.ex_market import ExMarket
from translate.ts_base import TsBase
from translate.ts_order import TsOrder
class PiMarket:
@staticmethod
def pipeline_lottery():
# ---库存数据---
where = {'condition': ['lottery_id = 61']}
ex_l = ExMarket('抽奖数据')
lottery_data = ex_l.ex_prize_log(where)
# 转换
ts = TsBase('抽奖转换', lottery_data)
print('抽奖人数', ts.no_repeat_people())
print('抽奖次数', ts.return_times())
@staticmethod
def pipeline_coupon_order():
# ---库存数据---
where = {'condition': ['c.coupon_id in (243,244,245)', 'o.order_amount is not NULL']}
ex_l = ExMarket('抽奖数据')
coupon = ex_l.ex_user_coupon(where)
print(coupon)
ts = TsOrder('下单概览转换', coupon)
print(ts.return_times(), ts.trans_order_target(6.9))
pipeline/pi_order.py
from extract.ex_order import ExOrder
from extract.ex_user import ExUser
from translate.ts_order import TsOrder
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from utils.excel_handler import ExcelHandler
from translate.ts_user import TsUser
import time
class PiOrder:
"""
订单概况
"""
@staticmethod
def pipeline_order_people():
def pipeline_order_view():
# where = {'start_time': 1541001600, 'end_time': 1543593600, 'condition': ['order_pay_type != 3',
# 'order_source not like \'%pf=-1%\'']}
where = {'start_time': 1554825600, 'end_time': 1556294400,
'condition': ['order_source like \'%adtag=qq%\'']}
ex_order = ExOrder('订单')
data = ex_order.person_order_detail(where)
ts_order = TsOrder('订单', data=data)
print(ts_order.trans_order_target(6.8))
# 生成Excel
# ts_order.trans_order_people(6.95)
where = {'start_time': 1539273600, 'end_time': 1541001600, 'condition': ['o.order_goods_type = 1',
'o.order_pay_type != 3',
'o.order_source like \'%pf=-1%\'',
'o.status in (7 ,8, 10)']}
@staticmethod
def pipeline_order_people():
# where = {'start_time': 1539273600, 'end_time': 1541001600, 'condition': ['o.order_goods_type = 1',
# 'o.order_pay_type != 3',
# 'o.order_source like \'%pf=-1%\'',
# 'o.status in (7 ,8, 10)']}
where = {'start_time': 1538323200, 'end_time': 1541001600, 'condition': ['o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'',
'o.status > 2']}
# E
ex_order = ExOrder('订单详情')
data = ex_order.person_order_detail(where)
......@@ -21,15 +47,256 @@ class PiOrder:
@staticmethod
def pipeline_order_items():
where = {'start_time': 1538150400, 'end_time': 1541952000, 'condition': ['i.supplier_id = 17']}
where = {'start_time': 1552320000, 'end_time': 1555084800,
'condition': ['i.supplier_id = 1',
# 'o.status > 2',
# 'o.order_source like \'%adtag=qq%\'',
'o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'']}
# where = {'start_time': 1551715200, 'end_time': 1552665600,
# 'condition': ['i.supplier_id in (5,10)',
# # 'o.status > 2',
# 'o.order_pay_type != 3',
# 'o.order_source like \'%adtag=qq%\'',
# 'o.order_source not like \'%pf=-1%\'']}
# E
ex_order = ExOrder('order detail')
data = ex_order.order_items(where)
for row in data:
if row['user_id'] == 50393:
print(row)
# T
ts_order = TsOrder('', data=data)
ts_order.trans_order_items_canal("L0000089")
# 订单明细
result = ts_order.trans_order_target(6.7)
print(result)
ts_order.trans_order_people(6.7)
# # 新老用户明细
# ts_user = TsUser('', data=data)
# user = ts_user.trans_no_user(where['start_time'], 6.7)
# 筛选渠道
# ts_order.trans_order_items_canal("L0000089")
@staticmethod
def pipeline_order_coupon():
where = {'start_time': 1541001600, 'end_time': 1543248000,
'condition': ['o.status > 2']}
ex_order = ExOrder('order detail')
data = ex_order.order_price(where)
ts_order = TsOrder('', data=data)
print(ts_order.trans_order_coupon(6.95))
@staticmethod
def pipeline_order_offer():
where = {'condition': ['status = 1']}
data = ExUser('offer').lx_offer(where)
ts_data = TsOrder('', data).trans_user_offer()
# 更新数据
db = ConnList.Dashboard()
for user_id in ts_data:
sql = "UPDATE lie_offer SET trade_order_num=%d, trade_sku_num=%d, last_order_time=%d, \
update_time=%d WHERE user_id = %d" \
% (ts_data[user_id]['trade_order_num'], ts_data[user_id]['trade_sku_num'],
ts_data[user_id]['last_order_time'], DateHandler.now_datetime(), user_id)
cursor = db.cursor()
cursor.execute(sql)
db.commit()
db.close()
@staticmethod
def pipeline_output_order_detail():
title = ['订单ID',
'订单编号',
'会员账号',
'收货人',
'下单日期',
'平台来源',
'商品型号',
'制造商',
'供应商',
'数量',
'单价',
'均摊后单价',
'商品小计',
'订单总计',
'币种',
'订单支付类型',
'订单状态',
'收货地址',
'发票类型',
'发票抬头',
'公司电话',
'adtag来源',
'取消原因'
]
content = ['order_id',
'order_sn',
'mobile',
'consignee',
'create_time',
'pf',
'goods_name',
'brand_name',
'supplier_name',
'goods_number',
'goods_price',
'single_pre_price',
'sum_price',
'order_amount',
'currency',
'order_pay_type',
'status',
'address',
'inv_type',
'tax_title',
'company_phone',
'order_source',
'cancel_reason'
]
where = {'start_time': 0, 'end_time': 1551801600, 'condition': ['order_goods_type = 2']}
data = ExOrder('order').all_order(where)
ExcelHandler.write_to_excel_with_openpyxl(title, content,
TsOrder('', data).trans_order_excel(), "zy.xls")
print(len(data))
@staticmethod
def pipeline_order_whatever():
ul = {}
first_ul = {}
rd = []
where = {'start_time': 1514736000, 'end_time': 1546272000, 'condition': ['status > 2']}
order = ExOrder('订单').all_order(where)
for row in order:
user_id = row['user_id']
order_amount = float(row['order_amount']) if row['currency'] == 1 else float(row['order_amount']) * 6.7
if user_id not in ul:
ul[user_id] = {'count': 1, 'amount': order_amount}
else:
ul[user_id]['count'] += 1
ul[user_id]['amount'] += order_amount
for user_id in ul:
count = ul[user_id]['count']
amount = ul[user_id]['amount']
if count >= 3 and amount >= 5000:
first_ul[user_id] = ul[user_id]
title = ['会员账号', '公司名称', '收货人', '收货电话', '订单笔数', '订单金额']
content = ['account', 'com_name', 'consignee', 'mobile', 'count', 'amount']
db = ConnList.Order()
for user_id in first_ul:
sql = "SELECT 1 FROM lie_order WHERE create_time BETWEEN 1548950400 AND 1554998400 AND user_id = %d" % user_id
result = DBHandler.read(db, sql)
if len(result) == 0:
sql = "SELECT u.mobile,u.email,com_name,consignee,a.mobile FROM lie_user_main u \
LEFT JOIN lie_user_company c ON u.user_id = c.user_id \
LEFT JOIN lie_user_address a ON u.user_id = a.user_id \
WHERE u.user_id = %d" % user_id
info = DBHandler.read(db, sql)[0]
rd.append(
{'account': info[0] if info[0] != '' else info[1], 'com_name': info[2], 'consignee': info[3],
'mobile': info[4], 'count': first_ul[user_id]['count'], 'amount': first_ul[user_id]['amount']})
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
@staticmethod
def pipeline_order_log():
rd = {}
ld = []
start_time = 1560700800
end_time = 1561737600
db = ConnList.Order()
sql = "SELECT u.user_id,u.mobile,u.email,p.pay_amount,o.currency,o.sale_id,i.tax_title,i.nike_name,p.pay_time,p.order_id,o.order_pay_type FROM lie_pay_log p \
LEFT JOIN lie_order o ON p.order_id = o.order_id \
LEFT JOIN lie_user_main u ON p.user_id = u.user_id \
LEFT JOIN lie_order_invoice i ON i.order_id = p.order_id \
WHERE p.pay_time BETWEEN %d AND %d AND o.order_type = 1 AND o.order_pay_type != 3 AND o.order_goods_type IN (1,2) AND o.is_type = 0 AND u.is_test = 0 AND u.is_type = 0" % \
(start_time, end_time)
data = DBHandler.read(db, sql)
for row in data:
user_id = row[0]
mobile = row[1]
email = row[2]
pay_amount = float(row[3]) if row[4] == 1 else float(row[3]) * 6.8
sale_id = row[5]
tax_title = row[6]
nike_name = row[7]
pay_time = DateHandler.unix_to_date(row[8], "%Y-%m-%d")
order_id = row[9]
if user_id not in rd:
ic_db = ConnList.IcData()
ic_sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=ic_db, sql=ic_sql)
sale_man = results[0][0] if len(results) > 0 else ''
rd[user_id] = {'tax_title': tax_title + ' ' + nike_name,
'account': mobile if mobile != '' else email,
'sale_man': sale_man,
'order': {pay_time: {order_id: pay_amount}}}
else:
if pay_time not in rd[user_id]['order']:
rd[user_id]['order'][pay_time] = {order_id: pay_amount}
else:
if order_id in rd[user_id]['order'][pay_time]:
rd[user_id]['order'][pay_time][order_id] += pay_amount
else:
rd[user_id]['order'][pay_time][order_id] = pay_amount
for r in rd:
tax_title = rd[r]['tax_title']
account = rd[r]['account']
sale_man = rd[r]['sale_man']
order = rd[r]['order']
for pt in order:
am = 0
ol = ''
for oi in order[pt]:
am += order[pt][oi]
if str(oi) not in ol:
ol += str(oi) + ','
ol = ol[:-1]
sql = "SELECT brand_name,supplier_name FROM lie_order_items WHERE order_id IN (%s)" % ol
bs = DBHandler.read(db, sql)
bn = ""
sn = ""
for b in bs:
brand_name = b[0]
supplier_name = b[1]
if brand_name not in bn:
bn += brand_name + ","
if supplier_name not in sn:
sn += supplier_name + ","
if r == 41558:
print(am)
ld.append({'tax_title': tax_title,
'account': account,
'pay_time': pt,
'pay_amount': am,
'sale_man': sale_man,
'supplier_name': sn,
'brand_name': bn})
title = ['姓名&公司名', '手机号', '付款时间', '单笔付款金额（元）', '对应交易员', '供应商', '品牌']
content = ['tax_title', 'account', 'pay_time', 'pay_amount', 'sale_man', 'supplier_name', 'brand_name']
ExcelHandler.write_to_excel(title, content, ld, "result", result_type=2)
pipeline/pi_page.py 0 → 100644
from extract.ex_dashboard import ExDashboard
from extract.ex_user import ExUser
from extract.ex_behavior import ExBehavior
from extract.ex_order import ExOrder
from translate.ts_page import TsPage
from utils.date_handler import DateHandler
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
class PiPage:
def __init__(self):
# ptag
self.ptag = ExDashboard('获取adtag').lie_ptag()
# rd
self.ts_page = TsPage(self.ptag)
def pipeline_pageTag(self):
self.ts_page.trans_sc_regex()
# 注册登录数据
where = {'start_time': DateHandler.date_time(1),
'end_time': DateHandler.date_time(0),
'condition': []}
reg_data = ExUser('').reg_user(where)
log_data = ExUser('').login_user(where)
self.ts_page.trans_user_rl(reg_data, 'reg_remark', 'create_device', 'reg_count')
self.ts_page.trans_user_rl(log_data, 'login_remark', 'platform', 'log_count')
# 行为数据
# 获取昨日行为数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['behavior_id > 0']}
be_data = ExBehavior('行为转化').behavior_log(where)
test_ip = []
data = ExUser('测试ip').test_ip()
for d in data:
test_ip.append(d['ip'])
self.ts_page.trans_be_times(be_data, test_ip)
# 订单数据
where['condition'] = ['order_id > 0']
all_order = ExOrder('').all_order(where)
self.ts_page.trans_order(all_order)
# 写入DB
rd = []
col = ['pv_count', 'uv_count', 'ip_count', 'entry_count', 'outward_count',
'exit_count', 'stay_time_count', 'reg_count', 'log_count', 'insert_time',
'cal_ts', 'page_id', 'platform', 'detail_count', 'addcart_count',
'buy_count', 'order_count', 'order_pay_count', 'addcart_people_count',
'buy_people_count', 'search_people_count', 'reg_people_count',
'log_people_count', 'qq_people_count', 'confirm_count', 'search_count',
'no_result_qq', 'result_qq', 'right_qq', 'top_qq']
for pd in self.ts_page.pd:
for pf in ['pc', 'h5']:
rs = self.ts_page.pd[pd][pf]
rs['addcart_people_count'] = len(rs['addcart_people_count'])
rs['buy_people_count'] = len(rs['buy_people_count'])
rs['search_people_count'] = len(rs['search_people_count'])
rs['reg_people_count'] = len(rs['reg_people_count'])
rs['log_people_count'] = len(rs['log_people_count'])
rs['qq_people_count'] = len(rs['qq_people_count'])
rs['cal_ts'] = DateHandler.now_date(1, 1)
rs['insert_time'] = DateHandler.now_datetime()
rd.append(rs)
LoadMysql.simple_dict_load(col, 'lie_page_cal', rd, db=ConnList.Dashboard(), cal_time=False)
pipeline/pi_purchase.py 0 → 100644
from extract.ex_purchase import ExPurchase
from extract.ex_order import ExOrder
from translate.ts_purchase import TsPurchase
from pipeline.pi_email import PiEmail
from load.load_mysql import LoadMysql
from utils.date_handler import DateHandler
from config.conn_list import ConnList
class PiPurchase:
@staticmethod
def pipeline_safe_stock():
# ---库存数据---
where = {'condition': ['a.status = 1', '(purchase_num + stock + wait_stock) < (mpq)']}
ex_purchase = ExPurchase('采购数据')
stock_data = ex_purchase.safe_stock(where)
# 近90天自营订单数据
now_time = DateHandler.date_time(0)
where = {'start_time': 0, 'end_time': now_time,
'condition': ['status >= 8', 'order_goods_type = 2']}
ex_order = ExOrder('订单数据')
order_data = ex_order.all_order(where)
# 获取指定订单下的所有goods_id
goods_data = ex_order.order_items_specify(order_data)
# 统计出预警Sku
warn_sku = {}
for g_sku in goods_data:
for s_sku in stock_data:
if g_sku == s_sku['sku_id']:
warn_sku[g_sku] = {'out_stock': goods_data[g_sku], 'packing': s_sku['packing_name'], 'sku_id': g_sku}
break
# 从WMS中补全信息
TsPurchase.trans_sku_wms(warn_sku)
# 去除下架sku
warn_sku = TsPurchase.trans_rid_soldout_goods(warn_sku)
# 发送邮件
PiEmail.pipeline_safe_stock(len(warn_sku))
# 写入MySQL
load_col = ['sku_id', 'goods_name', 'class_name', 'brand_name', 'encap', 'mpq', 'goods_status',
'goods_type', 'purchase_num', 'in_num', 'lock_stock', 'wait_stock', 'stock', 'actual_stock',
'insert_time', 'cal_ts', 'packing', 'out_stock', 'supplier_name', 'creater', 'sum_picking_number',
'max_picking_price', 'min_picking_price', 'sum_putaway_number']
LoadMysql.sample_load(load_col, 'lie_safe_stock_cal', warn_sku, db=ConnList.Dashboard())
pipeline/pi_rank.py 0 → 100644
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
import re
import traceback
class PiRank:
def __init__(self):
super().__init__()
self.lx_db = ConnList.Order()
self.lx_rank = ConnList.LxRank()
self.now_ts = DateHandler.now_datetime()
def rank_one(self, start_time, end_time):
sql = "SELECT goods_name \
FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u ON i.user_id = u.user_id \
WHERE o.is_type = 0 \
AND o.order_type = 1 \
AND o.order_goods_type = 1 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND i.status = 1 \
AND o.create_time BETWEEN %d AND %d \
GROUP BY goods_name" % (start_time, end_time)
result = DBHandler.read(self.lx_db, sql)
for row in result:
goods_name = row[0]
sql = "SELECT 1 FROM lie_goods_rank1 WHERE goods_name = \'%s\'" % goods_name
is_exist = DBHandler.read(self.lx_rank, sql)
if len(is_exist) == 0:
sql = "INSERT INTO lie_goods_rank1 (goods_name,insert_time) VALUES (\'%s\',%d)" % (goods_name, self.now_ts)
DBHandler.insert(self.lx_rank, sql)
def rank_three(self):
day = DateHandler.now_date(1, 1)
hdfs_file = '/lx_log/lx_log_' + day.split('-')[0][2:4] + day.split('-')[1] + day.split('-')[2] + "/sum"
hdfs_data = DBHandler.hdfs_read(hdfs_file)
print(len(hdfs_data))
for row in hdfs_data:
try:
row = row.decode("utf-8")
arr = row.split(" ")
url = arr[6]
if 'goods_' in url:
matchObj = re.match('((.*)(goods_)(\d+)(.*))', url, re.M | re.I)
if matchObj:
goods_id = matchObj.group(4)
sql = "SELECT 1 FROM lie_goods_rank3 WHERE goods_id = \'%s\'" % (goods_id)
is_exist = DBHandler.read(self.lx_rank, sql)
if len(is_exist) == 0:
sql = "INSERT INTO lie_goods_rank3 (goods_id,insert_time) VALUES (\'%s\',%d)" % (goods_id, self.now_ts)
DBHandler.insert(self.lx_rank, sql)
except:
traceback.print_exc()
\ No newline at end of file
pipeline/pi_rate.py 0 → 100644
from extract.ex_user import ExUser
from extract.ex_order import ExOrder
from translate.ts_rate import TsRate
from translate.ts_order import TsOrder
class PiRate:
"""
复购
"""
@staticmethod
def pipeline_re_purchase():
# ex_user = ExUser('计算复购')
# ex_order = ExOrder('计算读取订单')
# TsRate.trans_re_put_account(ex_user, ex_order)
where = {'start_time': 1543766400, 'end_time': 1546272000,
'condition': ['o.order_pay_type != 3',
'o.order_source not like \'%pf=-1%\'',
'o.status > 2']}
ex_order = ExOrder('订单')
data = ex_order.person_order_detail(where)
ts_rate = TsRate('计算复购', data)
ts_rate.trans_fb_data(6.88)
"""
首购
"""
@staticmethod
def pipeline_fs_purchase():
# 概览
# where = {'start_time': 1541001600, 'end_time': 1543593600,
# 'condition': ['order_pay_type != 3',
# 'order_source not like \'%pf=-1%\'']}
# 详情
where = {'start_time': 1551369600, 'end_time': 1553616000,
'condition': [
# 'order_pay_type != 3',
# 'status in (7,8,10)',
'o.status > 2',
# 'order_source like \'%adtag=qq%\'',
'order_source not like \'%pf=-1%\'']}
# 详情
# where = {'start_time': 1541001600, 'end_time': 1543593600,
# 'condition': ['order_pay_type != 3',
# 'order_source not like \'%pf=-1%\'',
# 'order_source like \'%adtag=wechat%\'']}
ex_fs = ExUser('计算首购')
data = ex_fs.first_buy_user(where)
print(len(data))
TsRate('', data).trans_total_paid()
# print(data)
# 常用指标
# ts_view = TsOrder('概览', data)
# print(ts_view.trans_order_target(6.88))
# # 首购详情
# ts_rate = TsRate('转化', data)
# ts_rate.trans_fb_data(6.88)
pipeline/pi_search.py 0 → 100644
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from extract.ex_user import ExUser
from translate.ts_user import TsUser
from pipeline.pi_email import PiEmail
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
import socket, struct
class PiSearch:
"""
搜索无结果
"""
@staticmethod
def search_no_result():
# 获取周几
day = DateHandler.weekday()
# 周一则时间范围为上周
if day == 0:
end_time = DateHandler.date_time(0)
start_time = DateHandler.date_time(7)
keyword = 'keyword-weekly'
else:
end_time = DateHandler.date_time(0)
start_time = DateHandler.date_time(1)
keyword = 'keyword-daily'
# 获取测试IP
test_ip = []
data = ExUser('测试ip').test_ip()
for d in data:
ip = socket.inet_ntoa(struct.pack('!L', d['ip']))
test_ip.append(ip)
# 获取无结果词
no_result = DBHandler.scroll_read(url="http://so12.ichunt.com/search/searchLog/index",
body={"create_time/range": "%d,%d" % (start_time, end_time),
"flag/condition": "2", "p": 1,
"offset": "1000", "is_scroll": "1"},
key='list')
# 获取所有结果词
all_result = DBHandler.scroll_read(url="http://so12.ichunt.com/search/searchLog/index",
body={"create_time/range": "%d,%d" % (start_time, end_time),
"p": 1, "offset": "1000", "is_scroll": "1"},
key='list')
# 搜索关键词统计
ts_keyword = TsUser('搜索词统计', no_result)
no_result_pc = ts_keyword.trans_search_keyword(test_ip=test_ip, pf='PC')
no_result_h5 = ts_keyword.trans_search_keyword(test_ip=test_ip, pf='H5')
all_result_ph = TsUser('所有搜索词统计', all_result).trans_search_keyword(test_ip=test_ip)
# 邮件发送数据
send_data = {}
for i in range(20):
send_data['pc_k_' + str(i)] = no_result_pc[i][0].replace('\'', '') if i < len(no_result_pc) else '-'
send_data['pc_n_' + str(i)] = no_result_pc[i][1] if i < len(no_result_pc) else '-'
send_data['h5_k_' + str(i)] = no_result_h5[i][0].replace('\'', '') if i < len(no_result_h5) else '-'
send_data['h5_n_' + str(i)] = no_result_h5[i][1] if i < len(no_result_h5) else '-'
send_data['all_k_' + str(i)] = all_result_ph[i][0].replace('\'', '') if i < len(all_result_ph) else '-'
send_data['all_n_' + str(i)] = all_result_ph[i][1] if i < len(all_result_ph) else '-'
send_data['size1'] = len(no_result_pc) if len(no_result_pc) <= 20 else 20
send_data['size2'] = len(no_result_h5) if len(no_result_h5) <= 20 else 20
send_data['all_size1'] = len(no_result_pc)
send_data['all_size2'] = len(no_result_h5)
send_data['all_size3'] = len(all_result_ph)
send_data['yes_day'] = DateHandler.now_date(1, 1)
send_data['week'] = '上周'
# 数据格式转换
send_no_r_pc = {}
index = 0
for row in no_result_pc:
send_no_r_pc[index] = {'keyword': row[0].replace('\'', ''), 'count': row[1], 'platform': 1}
index += 1
send_no_r_h5 = {}
index = 0
for row in no_result_h5:
send_no_r_h5[index] = {'keyword': row[0].replace('\'', ''), 'count': row[1], 'platform': 2}
index += 1
# 写入MySQL
load_col = ['keyword', 'count', 'platform', 'insert_time', 'cal_ts']
LoadMysql.sample_load(load_col, 'lie_search_no_result_cal', send_no_r_pc, db=ConnList.Dashboard())
LoadMysql.sample_load(load_col, 'lie_search_no_result_cal', send_no_r_h5, db=ConnList.Dashboard())
PiEmail.pipeline_search_no_result(send_data, keyword)
pipeline/pi_tag.py 0 → 100644
from extract.ex_user import ExUser
from extract.ex_dashboard import ExDashboard
from extract.ex_behavior import ExBehavior
from extract.ex_order import ExOrder
from extract.ex_sku_expose import ExSkuExpose
from extract.ex_shence import ExShenCe
from translate.ts_tag import TsTag
from utils.date_handler import DateHandler
from config.conn_list import ConnList
from load.load_mysql import LoadMysql
class PiTag:
def __init__(self):
# 测试IP
self.test_ip = []
data = ExUser('测试ip').test_ip()
for d in data:
self.test_ip.append(d['ip'])
# adtag
ex_dash = ExDashboard('获取adtag')
self.adtag = ex_dash.lie_adtag()
# 神策URL
self.sc = ExShenCe('神策').url_detail()
# 获取昨日行为数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['behavior_id > 0']}
self.be_data = ExBehavior('行为转化').behavior_log(where)
# 获取昨日曝光数据
self.expose_data = ExSkuExpose.get_hdfs_data()
# 注册数据
where['condition'] = []
self.reg_data = ExUser('').reg_user(where)
# 登录数据
self.log_data = ExUser('').login_user(where)
# 自营adtag
def pipeline_zy_adtag(self):
# 获取订单数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['order_goods_type = 2']}
ex_order = ExOrder('订单数据')
order_data = ex_order.all_order(where)
# 初始化字典
ts_tag = TsTag(name='tag转化', data=self.adtag)
init_data = ts_tag.trans_init_dict()
ts_tag.set_data(init_data)
# 神策统计
ts_tag.trans_bd_tag_value(self.sc, False)
# 行为统计
ts_tag.trans_be_tag_value(self.be_data, order_data, self.expose_data, self.reg_data,
self.log_data, self.test_ip, False)
# 写入DB
rd = ts_tag.trans_result(ts_tag.return_data(), 'lie_zy_behavior_adtag_order')
# 汇总计算数据写入DB
load_col = ['pv_count', 'pv_radio', 'search_count', 'search_people_count', 'reg_count', 'log_count',
'insert_time', 'cal_ts', 'adtag', 'platform', 'addcart_count', 'buy_count', 'order_count',
'addcart_people_count', 'buy_people_count']
LoadMysql.simple_dict_load(load_col, 'lie_zy_behavior_adtag_cal', rd, db=ConnList.Dashboard(), cal_time=False)
# 汇总adtag
def pipeline_all_adtag(self):
# 获取订单数据
where = {'start_time': DateHandler.date_time(1), 'end_time': DateHandler.date_time(0),
'condition': ['order_id > 0']}
ex_order = ExOrder('订单数据')
order_data = ex_order.all_order(where)
# 初始化字典
ts_tag = TsTag(name='tag转化', data=self.adtag)
init_data = ts_tag.trans_init_dict()
ts_tag.set_data(init_data)
# 神策统计
ts_tag.trans_bd_tag_value(self.sc, True)
# 行为统计
ts_tag.trans_be_tag_value(self.be_data, order_data, self.expose_data, self.reg_data,
self.log_data, self.test_ip, True)
# 结果数据
rd = ts_tag.trans_result(ts_tag.return_data(), 'lie_behavior_adtag_order')
# 汇总计算数据写入DB
load_col = ['pv_count', 'pv_radio', 'search_count', 'search_people_count', 'reg_count', 'log_count',
'insert_time', 'cal_ts', 'adtag', 'platform', 'addcart_count', 'buy_count', 'order_count',
'addcart_people_count', 'buy_people_count']
LoadMysql.simple_dict_load(load_col, 'lie_behavior_adtag_cal', rd, db=ConnList.Dashboard(), cal_time=False)
pipeline/pi_user.py
from pipeline.ex_base import Base
from extract.ex_user import ExUser
from extract.ex_order import ExOrder
from translate.ts_user import TsUser
from utils.excel_handler import ExcelHandler
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
import time
class PiUser(Base):
class PiUser:
def pipeline_user_without_login(self):
@staticmethod
def pipeline_user_without_login():
where = {'start_time': 1527782400, 'end_time': 1535644800, 'condition': []}
where = {'start_time': 0, 'end_time': 1553134250, 'condition': []}
# E
ex_user = ExUser('新用户')
......@@ -15,4 +21,65 @@ class PiUser(Base):
# T
ts_user = TsUser('用户转化', data=data)
ts_user.trans_user_without_login(90)
# ts_user.trans_user_without_login(90, 1538323200, 1543507200)
ts_user.trans_user_without_login_time(1546272000)
@staticmethod
def pipeline_user_order():
where = {'start_time': 1527782400, 'end_time': 1543507200, 'condition': ['order_goods_type = 2']}
ex_order = ExOrder('自营订单')
data = ex_order.all_order(where)
ts_user = TsUser('下单账号', data=data)
ts_user.trans_user_order()
@staticmethod
def pipeline_user_output():
data = ExcelHandler.read_to_excel('近期注册未下单用户.xlsx', 'Sheet1', 1)
data.pop(0)
# TsUser('', data).trans_user_info()
# TsUser('', data).trans_user_info_2()
TsUser('', data).trans_user_info_3()
@staticmethod
def temp():
db = ConnList.Order()
people = []
sum_amount = 0
order_sql = "SELECT user_id,order_amount,currency FROM lie_order WHERE create_time BETWEEN 1552233600 AND 1554480000 AND \
user_id NOT IN (SELECT p.user_id FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.pay_time < 1552233600 AND o.is_type = 0 GROUP BY p.user_id) AND is_type = 0 AND order_type = 1 AND order_source like \'%adtag=qq%\'"
order = DBHandler.read(db, order_sql)
for row in order:
user_id = row[0]
order_amount = float(row[1])
currency = row[2]
if user_id not in people:
people.append(user_id)
order_amount = order_amount if currency == 1 else order_amount * 6.7
sum_amount += order_amount
print(len(people), sum_amount)
pipeline/pi_weekly.py 0 → 100644
from utils.date_handler import DateHandler
from extract.ex_order import ExOrder
from config.conn_list import ConnList
from utils.db_handler import DBHandler
import time
import requests
"""
周数据处理
"""
class PiWeekly:
@staticmethod
def pipeline_week_hot_goods():
d = time.strftime("%w", time.localtime())
# 周一
if int(d) == 1:
goods = {}
r = ConnList.WriteRedis()
# r = ConnList.LocalRedis()
r.delete('weekly_hot_goods')
# 时间
monday = DateHandler.date_time(7)
sunday = DateHandler.date_time(0)
# 读取db
condition = {'start_time': monday, 'end_time': sunday, 'condition': ['u.is_type = 0', 'o.order_goods_type = 2', 'i.goods_id != 0', 'o.status > 2']}
order = ExOrder('').order_items(condition)
for row in order:
goods_id = row['goods_id']
goods_number = row['goods_number']
if goods_id not in goods:
goods[goods_id] = goods_number
else:
goods[goods_id] += goods_number
res = sorted(goods.items(), key=lambda goods: goods[1], reverse=True)
# 提取前18个数据
for i in range(0, 18):
goods_id = res[i][0]
goods_count = res[i][1]
r.hset("weekly_hot_goods", goods_id, goods_count)
# 每周一二级热卖物料
@staticmethod
def pipeline_week_classify_hot_goods():
d = time.strftime("%w", time.localtime())
# 周一
if int(d) == 1:
r = ConnList.WriteRedis()
r.delete('first_classify_goods')
r.delete('second_classify_goods')
# 读取分类
self_classify = ExOrder('').self_classify(condition={'condition': ['class_id > 0']})
classify = {}
classify_parent = {}
# 分类初始化
for row in self_classify:
class_id = row['class_id']
class_name = row['class_name']
parent_id = row['parent_id']
if parent_id != 0:
classify[class_name] = {'class_id': class_id, 'class_name': class_name, 'parent_id': parent_id, 'goods': {}}
else:
classify_parent[class_id] = {}
# 历史自营数据
condition = {'start_time': 0,
'end_time': DateHandler.now_datetime(),
'condition': ['u.is_type = 0', 'o.order_goods_type = 2', 'i.goods_id != 0', 'o.status > 2']}
order = ExOrder('').order_items(condition)
# 计算分类详情
for row in order:
goods_id = row['goods_id']
goods_number = row['goods_number']
goods_class = row['goods_class']
try:
# 二级分类
if goods_id not in classify[goods_class]['goods']:
classify[goods_class]['goods'][goods_id] = goods_number
else:
classify[goods_class]['goods'][goods_id] += goods_number
# 一级分类
parent_id = classify[goods_class]['parent_id']
if goods_id not in classify_parent[parent_id]:
classify_parent[parent_id][goods_id] = goods_number
else:
classify_parent[parent_id][goods_id] += goods_number
except:
pass
# 二级分类排序插入
for class_name in classify:
class_id = classify[class_name]['class_id']
goods = classify[class_name]['goods']
res = sorted(goods.items(), key=lambda goods: goods[1], reverse=True)
lt = []
if len(res) > 0:
for i in range(0, 10):
if i < len(res):
goods_id = res[i][0]
lt.append(goods_id)
else:
break
r.hset("second_classify_goods", class_id, lt)
# 一级分类排序插入
for class_id in classify_parent:
goods = classify_parent[class_id]
res = sorted(goods.items(), key=lambda goods: goods[1], reverse=True)
lt = []
if len(res) > 0:
for i in range(0, 10):
if i < len(res):
goods_id = res[i][0]
lt.append(goods_id)
else:
break
r.hset("first_classify_goods", class_id, lt)
@staticmethod
def pipeline_lx_brand():
d = time.strftime("%w", time.localtime())
# 周一
if int(d) == 1:
client = ConnList.SeoMongoDB()
db = client['seo']
table = db['lianyin_top_brand']
table.delete_many({})
sql = "SELECT i.brand_id, COUNT(i.brand_id) FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
WHERE i.goods_type = 2 AND i.status = 1 AND i.brand_id != 0 AND o.is_type = 0 \
GROUP BY i.brand_id ORDER BY COUNT(i.brand_id) DESC"
result = DBHandler.read(ConnList.Order(), sql)
for row in result:
brand_id = row[0]
brand_count = row[1]
table.insert_one({'brand_id': brand_id, 'brand_count': brand_count})
@staticmethod
def pipeline_lx_order():
d = time.strftime("%w", time.localtime())
# 周一
if int(d) == 1:
client = ConnList.SeoMongoDB()
db = client['seo']
table = db['lianyin_top_sku']
table.delete_many({})
sql = "SELECT i.goods_id, COUNT(i.goods_id) FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
WHERE i.goods_type = 2 AND i.status = 1 AND i.brand_id != 0 AND o.is_type = 0 \
GROUP BY i.goods_id ORDER BY COUNT(i.goods_id) DESC"
result = DBHandler.read(ConnList.Order(), sql)
for row in result:
goods_id = row[0]
goods_count = row[1]
table.insert_one({'goods_id': goods_id, 'goods_count': goods_count})
@staticmethod
def pipeline_keyword_match():
start_time = DateHandler.today_between_months(1, '%Y-%m-%d')
end_time = DateHandler.today_between_months(0, '%Y-%m-%d')
db = ConnList.Order()
start_time = 1575129600
end_time = 1575216000
# 获取无结果词
has_result = DBHandler.scroll_read(url="http://so12.ichunt.com/search/searchLog/index",
body={"create_time/range": "%d,%d" % (start_time, end_time),
"flag/condition": "1", "p": 1,
"offset": "1000", "is_scroll": "1"},
key='list')
kl = {}
cmp_kl = {}
for row in has_result:
keyword = row['keyword']
ip = row['ip']
if keyword not in kl:
kl[keyword] = {'count': 1, 'user': [ip]}
else:
kl[keyword]['count'] += 1
if ip not in kl[keyword]['user']:
kl[keyword]['user'].append(ip)
url = "http://so12.ichunt.com/other/exactGoods"
index = 0
for keyword in kl:
kl[keyword]['user'] = len(kl[keyword]['user'])
body = {
'supplier_id': -1,
'goods_name': keyword
}
r = requests.post(url, body)
result = r.json()
data = result['data']
if len(data) > 0:
cmp_kl[keyword] = kl[keyword]
sql = "SELECT count(i.order_id)\
FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u ON i.user_id = u.user_id \
WHERE i.status = 1 \
AND o.status > 2 \
AND o.is_type = 0 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND o.create_time BETWEEN %d AND %d AND i.goods_name = \'%s\'" % (start_time, end_time, keyword)
od_data = DBHandler.read(db, sql)
sql = "SELECT count(i.user_id)\
FROM lie_order_items i \
LEFT JOIN lie_order o ON i.order_id = o.order_id \
LEFT JOIN lie_user_main u ON i.user_id = u.user_id \
WHERE i.status = 1 \
AND o.status > 2 \
AND o.is_type = 0 \
AND u.is_test = 0 \
AND u.is_type = 0 \
AND o.create_time BETWEEN %d AND %d AND i.goods_name = \'%s\' GROUP BY i.user_id" % (start_time, end_time, keyword)
us_data = DBHandler.read(db, sql)
if len(od_data) > 0:
count_od = od_data[0][0]
cmp_kl[keyword]['ct_od'] = count_od
else:
cmp_kl[keyword]['ct_od'] = 0
if len(us_data) > 0:
count_us = us_data[0][0]
cmp_kl[keyword]['ct_us'] = count_us
else:
cmp_kl[keyword]['ct_us'] = 0
index += 1
print(index)
time.sleep(0.01)
wr_db = ConnList.Dashboard()
month = int(DateHandler.today_between_months(1, "%Y%m"))
for keyword in cmp_kl:
count = int(cmp_kl[keyword]['count'])
user = int(cmp_kl[keyword]['user'])
count_od = int(cmp_kl[keyword]['ct_od'])
count_us = int(cmp_kl[keyword]['ct_us'])
sql = "INSERT INTO lie_keyword_match(keyword,total_count,user_count,deal_total_count,deal_user_count,month) VALUES (\'%s\',%d,%d,%d,%d,%d)" % \
(keyword,count,user,count_od,count_us,month)
DBHandler.insert(wr_db, sql)
print(len(cmp_kl))
translate/__pycache__/ts_crm.cpython-36.pyc 0 → 100644
No preview for this file type
translate/__pycache__/ts_erp.cpython-36.pyc 0 → 100644
No preview for this file type
translate/__pycache__/ts_page.cpython-36.pyc 0 → 100644
No preview for this file type
translate/__pycache__/ts_rate.cpython-36.pyc 0 → 100644
No preview for this file type
translate/__pycache__/ts_tag.cpython-36.pyc 0 → 100644
No preview for this file type
translate/ts_activity.py 0 → 100644
from translate.ts_base import TsBase
from translate.ts_page import TsPage
from extract.ex_shence import ExShenCe
from utils.date_handler import DateHandler
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
import re
class TsActivity(TsBase):
def __init__(self, data):
self.pd = {}
for d in data:
ac_id = d['id']
ac_sign = d['sign']
ac_name = d['name']
self.pd[ac_id] = {
'activity_en': ac_sign,
'activity_cn': ac_name,
'activity_id': ac_id,
'reg_count': 0,
'log_count': 0,
'pv_count': 0,
'uv_count': 0,
'ip_count': 0,
'answer_count': 0,
'answer_people': [],
'answer_point': 0
}
"""
处理登录注册数据
data: 数据
key: 解析key
r_key: 结果key
is_load: 是否写入DB
"""
def trans_rl_data(self, data, key, r_key, is_load):
ts = TsPage('')
for d in data:
sc = d[key]
ud = d['user_id']
obj = re.match(r'(.*)ptag=([\w\-\.]*)($|,(.*))', sc, re.M | re.I)
ptag = ts.trans_ptag(obj, 2, 1)
# 符合活动判断
if 'activity-' in ptag:
count = ptag.count('-')
if count > 0:
p_s = ptag.split('-')
ac_id = p_s[len(p_s) - 1]
# 活动id必须为数字
if ac_id.isdigit():
self.pd[int(ac_id)][r_key] += 1
# 写入DB
if is_load:
col = ['user_id', 'ac_id', 'insert_time', 'cal_ts']
rd = [{'user_id': ud, 'ac_id': int(ac_id),
'insert_time': DateHandler.now_datetime(),
'cal_ts': DateHandler.now_date(1, 1)}]
LoadMysql.simple_dict_load(col, 'lie_activity_user', rd,
db=ConnList.Dashboard(), cal_time=False)
"""
计算神策pv,uv,ip值
"""
def trans_pui_value(self):
for pd in self.pd:
ac_name = self.pd[pd]['activity_en']
regex = '(.*)(/activity/' + str(ac_name) + ')(.*)'
if regex != '':
sc = ExShenCe('').reg_pui(regex)
self.pd[pd]['pv_count'] = sc['pv']
self.pd[pd]['uv_count'] = sc['uv']
self.pd[pd]['ip_count'] = sc['ip']
"""
计算答题数据
"""
def trans_answer_value(self, data):
for asw in data:
user_id = asw['user_id']
ac_id = asw['activity_id']
score = asw['score']
if ac_id in self.pd:
self.pd[ac_id]['answer_point'] += score
self.pd[ac_id]['answer_count'] += 1
if user_id not in self.pd[ac_id]['answer_people']:
self.pd[ac_id]['answer_people'].append(user_id)
translate/ts_base.py
class Base:
class TsBase:
def __init__(self, name, data):
self.data = data
print('数据转换：', name)
# 人数去重
def no_repeat_people(self, data):
def no_repeat_people(self):
user_list = []
for row in data:
for row in self.data:
user_id = row['user_id']
if user_id not in user_list:
user_list.append(user_id)
print(len(user_list))
return len(user_list)
# 返回次数
def return_times(self):
return len(self.data)
# 设置数据
def set_data(self, data):
self.data = data
# 返回数据
def return_data(self):
return self.data
translate/ts_behavior.py 0 → 100644
from translate.ts_base import TsBase
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.excel_handler import ExcelHandler
import socket, struct
import time
class TsBehavior(TsBase):
be_d = {1: '访问', 2: '注册', 3: '登录', 4: '加入购物车', 5: '立即购买', 6: '立即结算', 7: '立即付款',
8: '客服服务', 9: '优惠券', 10: '抽奖', 11: '搜索'}
"""
根据号码获取user_id
"""
def trans_mobile_to_user_id(self):
ul = []
rl = []
for mobile in self.data:
sql = "SELECT user_id FROM lie_user_main WHERE mobile = \'%d\'" % int(mobile)
db = ConnList.Order()
result = DBHandler.read(db, sql)
if len(result) > 0:
user_id = result[0][0]
if user_id not in ul:
ul.append(user_id)
rl.append({'user_id': user_id, 'mobile': mobile})
return rl
"""
行为数据转化
"""
def trans_user_behavior(self, condition):
# Excel标题、内容
title = ['账号', 'IP', 'GUID', '行为', '时间']
content = ['mobile', 'ip', 'user_sign', 'be', 'create_time']
rd = {}
index = 0
# 筛选条件
start_time = condition['start_time']
end_time = condition['end_time']
for data in self.data:
user_id = data['user_id']
mobile = data['mobile']
email = data['email']
sql = "SELECT behavior,create_time,user_sign,ip from lie_behavior_log WHERE create_time \
BETWEEN %d AND %d AND user_id = %d" % (start_time, end_time, user_id)
db = ConnList.Behavior()
result = DBHandler.read(db, sql)
for row in result:
be = self.be_d[row[0]]
create_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(row[1]))
user_sign = row[2]
ip = socket.inet_ntoa(struct.pack('!L', row[3]))
rd[index] = {'mobile': mobile if mobile != '' else email, 'be': be, 'create_time': create_time,
'user_sign': user_sign, 'ip': ip}
index += 1
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
行为汇总转化
"""
def trans_sum_behavior(self, test_ip):
be = {'search_count': {'pc': 0, 'h5': 0}, 'custom_count': {'pc': 0, 'h5': 0},
'addcart_count': {'pc': 0, 'h5': 0}, 'buy_count': {'pc': 0, 'h5': 0},
'confirm_count': {'pc': 0, 'h5': 0}, 'pay_count': {'pc': 0, 'h5': 0},
'new_order_count': {'pc': 0, 'h5': 0}, 'pay_order_count': {'pc': 0, 'h5': 0}}
# 遍历
for row in self.data:
ip = row['ip']
behavior = row['behavior']
platform = 'pc' if row['platform'] == 1 else 'h5'
# 排除测试ip
if ip not in test_ip:
# 判断行为类型
if behavior == 4:
be['addcart_count'][platform] += 1
elif behavior == 5:
be['buy_count'][platform] += 1
elif behavior == 6:
be['confirm_count'][platform] += 1
elif behavior == 7:
be['pay_count'][platform] += 1
elif behavior == 8:
be['custom_count'][platform] += 1
elif behavior == 11:
be['search_count'][platform] += 1
return be
"""
行为导出
"""
def trans_output_behavior(self):
# Excel标题、内容
# title = ['号码', 'IP', '行为', '时间']
# content = ['mobile', 'ip', 'be', 'create_time']
title = ['账号', 'IP', 'adtag', '行为参数', '场景', '行为', '使用平台', 'GUID', '创建时间']
content = ['mobile', 'ip', 'adtag', 'param', 'scene', 'be', 'platform', 'user_sign', 'create_time']
rd = {}
index = 0
for data in self.data:
user_id = data['user_id']
behavior = self.be_d[data['behavior']]
param = data['param']
scene = data['scene']
adtag = data['adtag']
user_sign = data['user_sign']
if data['platform'] == 1:
platform = 'PC'
elif data['platform'] == 2:
platform = 'H5'
ip = socket.inet_ntoa(struct.pack('!L', data['ip']))
create_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data['create_time']))
mobile = ''
email = ''
# 获取会员信息
if user_id != 0:
sql = "SELECT mobile,email from lie_user_main WHERE user_id = %d" % user_id
db = ConnList.Order()
result = DBHandler.read(db, sql)
if len(result) > 0:
mobile = result[0][0]
email = result[0][1]
rd[index] = {'mobile': mobile if mobile != '' else email, 'ip': ip,
'be': behavior, 'create_time': create_time, 'param': param,
'scene': scene, 'platform': platform, 'adtag': adtag, 'user_sign': user_sign}
index += 1
if index % 1000 == 0:
print(index)
ExcelHandler.write_to_excel_with_openpyxl(title, content, rd, "result.xls")
"""
下单用户
"""
def trans_order_behavior(self):
# 会员列表
user_list = []
ip_list = []
title = ['IP']
content = ['ip']
rd = {}
# 获取所有用户id
for data in self.data:
user_id = data['user_id']
if user_id not in user_list:
user_list.append(user_id)
# 获取该用户所登录过得ip
for user_id in user_list:
sql = "SELECT ip from lie_behavior_log WHERE user_id = %d" % user_id
db = ConnList.Behavior()
result = DBHandler.read(db, sql)
for row in result:
ip = socket.inet_ntoa(struct.pack('!L', row[0]))
if ip not in ip_list:
ip_list.append(ip)
index = 1
for ip in ip_list:
rd[index] = {'ip': ip}
index += 1
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
判断用户是否存在行为
"""
def trans_user_exit_behavior(self, condition):
# Excel标题、内容
title = ['账号', '时间']
content = ['mobile', 'create_time']
rd = {}
for row in self.data:
user_id = row['user_id']
mobile = row['mobile'] if row['mobile'] != '' else row['email']
create_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(row['create_time']))
db = ConnList.Behavior()
sql = "SELECT behavior_id FROM lie_behavior_log \
WHERE user_id = %d AND behavior NOT IN %s" % (user_id, condition)
result = DBHandler.read(db, sql)
if len(result) == 0:
print(mobile)
rd[user_id] = {'mobile': mobile, 'create_time': create_time}
ExcelHandler.write_to_excel_with_openpyxl(title, content, rd, "result.xls")
translate/ts_crm.py 0 → 100644
import traceback
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from extract.ex_erp import ExERP
class TsCrm:
def __init__(self, db, wr_db, data):
self.dd = {}
self.db = db
self.wr_db = wr_db
self.data = data
self.exchange = ExERP(DateHandler.now_date(0, 1)).get_erp_exchange()
self.init()
def init(self):
for row in self.data:
outter_uid = row[0]
user_id = row[1]
self.dd[outter_uid] = {
'user_id': user_id,
'is_order': 0,
'last_order_time': 0,
'order_num': 0,
'model_num': 0,
'order_amount': 0,
'paid_amount': 0,
'contact': '',
'contact_info': ''
}
def is_order(self):
for outter_uid in self.dd:
try:
sql = "SELECT 1 FROM lie_order WHERE user_id = %d AND is_type = 0 AND order_type = 1" % outter_uid
order = DBHandler.read(self.db, sql)
if (len(order) > 0):
self.dd[outter_uid]['is_order'] = 2
else:
self.dd[outter_uid]['is_order'] = 1
except:
self.dd[outter_uid]['is_order'] = 0
def last_order(self):
for outter_uid in self.dd:
try:
sql = "SELECT create_time FROM lie_order WHERE user_id = %d AND is_type = 0 AND order_type = 1 ORDER BY order_id DESC LIMIT 1" % outter_uid
order = DBHandler.read(self.db, sql)
last_order_time = order[0][0]
self.dd[outter_uid]['last_order_time'] = last_order_time
except:
self.dd[outter_uid]['last_order_time'] = 0
def order_num(self):
for outter_uid in self.dd:
try:
sql = "SELECT count(order_id) FROM lie_order WHERE user_id = %d AND is_type = 0 AND order_type = 1 AND status = 10" % outter_uid
order = DBHandler.read(self.db, sql)
order_num = order[0][0]
self.dd[outter_uid]['order_num'] = order_num
except:
self.dd[outter_uid]['order_num'] = 0
def model_num(self):
for outter_uid in self.dd:
try:
sql = "SELECT count(i.goods_id) FROM lie_order_items i LEFT JOIN lie_order o ON i.order_id = o.order_id WHERE o.user_id = %d AND i.status = 1 AND o.is_type = 0 AND o.order_type = 1 AND o.status = 10" % outter_uid
model = DBHandler.read(self.db, sql)
model_num = model[0][0]
self.dd[outter_uid]['model_num'] = model_num
except:
self.dd[outter_uid]['model_num'] = 0
def order_amount(self):
for outter_uid in self.dd:
try:
sum_amount = 0
sql = "SELECT order_amount,currency FROM lie_order WHERE user_id = %d AND is_type = 0 AND order_type = 1" % outter_uid
order = DBHandler.read(self.db, sql)
for od in order:
amount = float(od[0])
currency = od[1]
if currency == 2:
amount = self.exchange * amount
sum_amount += amount
self.dd[outter_uid]['order_amount'] = sum_amount
except:
self.dd[outter_uid]['order_amount'] = 0
def paid_amount(self):
for outter_uid in self.dd:
try:
sum_amount = 0
sql = "SELECT p.pay_amount,o.currency FROM lie_order o LEFT JOIN lie_pay_log p ON o.order_id = p.order_id WHERE o.is_type = 0 AND o.order_type = 1 AND o.status > 2 AND p.is_paid = 1 AND o.user_id = %d" % outter_uid
order = DBHandler.read(self.db, sql)
for od in order:
amount = float(od[0])
currency = od[1]
if currency == 2:
amount = self.exchange * amount
sum_amount += amount
self.dd[outter_uid]['paid_amount'] = sum_amount
except:
self.dd[outter_uid]['paid_amount'] = 0
def contact_info(self):
for outter_uid in self.dd:
try:
sql = "SELECT consignee,mobile FROM lie_order_address a LEFT JOIN lie_order o ON o.order_id = a.order_id WHERE o.user_id = %d AND o.is_type = 0 AND o.order_type = 1 ORDER BY o.order_id DESC LIMIT 1" % outter_uid
contact = DBHandler.read(self.db, sql)
consignee = contact[0][0]
mobile = contact[0][1]
self.dd[outter_uid]['contact'] = consignee
self.dd[outter_uid]['contact_info'] = mobile
except:
self.dd[outter_uid]['contact'] = ''
self.dd[outter_uid]['contact_info'] = ''
def iap_data(self):
create_time = DateHandler.date_time(0)
for outter_uid in self.dd:
try:
dd = self.dd[outter_uid]
dd['create_time'] = create_time
dd['outter_uid'] = outter_uid
sql = "SELECT 1 FROM lie_user_extend WHERE outter_uid = %d" % outter_uid
is_exist = DBHandler.read(self.wr_db, sql)
if (len(is_exist) > 0):
self.update_data(dd)
else:
self.insert_data(dd)
except:
traceback.print_exc()
def insert_data(self, dd):
sql = "INSERT INTO lie_user_extend (user_id,outter_uid,no_create_order,latest_order_time,completed_order_nums,model_nums,total_order_amount,amount_paid,contact,contact_info,create_time) \
VALUES (%d, %d, %d, %d, %d, %d, %.2f, %.2f, \'%s\',\'%s\', %d)" % \
(dd['user_id'], dd['outter_uid'], dd['is_order'], dd['last_order_time'], dd['order_num'], dd['model_num'], dd['order_amount'], dd['paid_amount'], dd['contact'], dd['contact_info'], dd['create_time'])
DBHandler.insert(self.wr_db, sql)
def update_data(self, dd):
sql = "UPDATE lie_user_extend SET no_create_order=%d,latest_order_time=%d,completed_order_nums=%d,model_nums=%d,total_order_amount=%.2f,amount_paid=%.2f,contact=\'%s\',contact_info=\'%s\' WHERE outter_uid=%d" % \
(dd['is_order'], dd['last_order_time'], dd['order_num'], dd['model_num'], dd['order_amount'], dd['paid_amount'], dd['contact'], dd['contact_info'], dd['outter_uid'])
DBHandler.update(self.wr_db, sql)
translate/ts_daily.py 0 → 100644
from translate.ts_base import TsBase
from extract.ex_erp import ExERP
class TsDaily(TsBase):
"""
处理下单参数
"""
def trans_order(self, exchange):
rd = {'order_count': 0,
'order_user': [],
'order_amount': 0,
'ly_count': 0,
'ly_user': [],
'ly_amount': 0,
'zy_count': 0,
'zy_user': [],
'zy_amount': 0,
'zy_paid_count': 0,
'zy_paid_user': [],
'zy_paid_amount': 0}
for row in self.data:
status = row['status']
user_id = row['user_id']
currency = row['currency']
order_goods_type = row['order_goods_type']
order_amount = float(row['order_amount']) if currency == 1 else float(row['order_amount']) * exchange
if order_goods_type in (1, 2):
# 汇总订单
rd['order_count'] += 1
rd['order_amount'] += order_amount
if user_id not in rd['order_user']:
rd['order_user'].append(user_id)
# 联营订单
if order_goods_type == 1:
rd['ly_count'] += 1
rd['ly_amount'] += order_amount
if user_id not in rd['ly_user']:
rd['ly_user'].append(user_id)
elif order_goods_type == 2:
rd['zy_count'] += 1
rd['zy_amount'] += order_amount
if user_id not in rd['zy_user']:
rd['zy_user'].append(user_id)
if status > 2:
rd['zy_paid_count'] += 1
rd['zy_paid_amount'] += order_amount
if user_id not in rd['zy_paid_user']:
rd['zy_paid_user'].append(user_id)
# 计算数量
rd['order_user'] = len(rd['order_user'])
rd['ly_user'] = len(rd['ly_user'])
rd['zy_user'] = len(rd['zy_user'])
rd['zy_paid_user'] = len(rd['zy_paid_user'])
return rd
"""
处理付款下单参数
"""
def trans_paid_order(self, exchange):
rd = {'order_count': 0,
'order_user': [],
'order_amount': 0,
'ly_count': 0,
'ly_user': [],
'ly_amount': 0,
'zy_count': 0,
'zy_user': [],
'zy_amount': 0}
for row in self.data:
user_id = row['user_id']
currency = row['currency']
order_goods_type = row['order_goods_type']
order_amount = float(row['pay_amount']) if currency == 1 else float(row['pay_amount']) * exchange
if order_goods_type in (1, 2):
# 汇总订单
rd['order_count'] += 1
rd['order_amount'] += order_amount
if user_id not in rd['order_user']:
rd['order_user'].append(user_id)
# 联营订单
if order_goods_type == 1:
rd['ly_count'] += 1
rd['ly_amount'] += order_amount
if user_id not in rd['ly_user']:
rd['ly_user'].append(user_id)
elif order_goods_type == 2:
rd['zy_count'] += 1
rd['zy_amount'] += order_amount
if user_id not in rd['zy_user']:
rd['zy_user'].append(user_id)
# 计算数量
rd['order_user'] = len(rd['order_user'])
rd['ly_user'] = len(rd['ly_user'])
rd['zy_user'] = len(rd['zy_user'])
return rd
"""
求交集分数
"""
def trans_mixed(self, user1, user2):
all_ul_1 = []
all_ul_2 = []
zy_ul_1 = []
zy_ul_2 = []
for row in user1:
user_id = row['user_id']
order_goods_type = row['order_goods_type']
if user_id not in all_ul_1:
all_ul_1.append(user_id)
if order_goods_type == 2:
if user_id not in zy_ul_1:
zy_ul_1.append(user_id)
for row in user2:
user_id = row['user_id']
order_goods_type = row['order_goods_type']
if user_id not in all_ul_2:
all_ul_2.append(user_id)
if order_goods_type == 2:
if user_id not in zy_ul_2:
zy_ul_2.append(user_id)
all_mix_user = len(list(set(all_ul_1).intersection(set(all_ul_2))))
all_radio = round(all_mix_user / len(all_ul_1) * 100)
zy_mix_user = len(list(set(zy_ul_1).intersection(set(zy_ul_2))))
zy_radio = round(zy_mix_user / len(zy_ul_1) * 100)
return {'all_radio': all_radio, 'zy_radio': zy_radio}
translate/ts_erp.py 0 → 100644
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from config.conn_list import ConnList
class TsERP:
def __init__(self):
super().__init__()
self.now_ts = DateHandler.now_datetime()
# 写DB
def load_erp(self, data, db):
col_str = 'poolfund_no,\
poolfund_source_no,\
entru_no,order_amount,\
business_time,\
deadline_day,\
receive_time,\
return_amount,\
return_time,\
is_settle,\
delay_day,\
erp_company_code,\
delay_amount,\
remark,\
is_credit,\
gross_profit,\
poolfund_type,\
tolerance,\
source_type,\
create_time,\
update_time'
for row in data:
value_str = "'%s',\
'%s',\
'%s',\
'%.2f',\
'%d',\
'%d',\
'%d',\
'%.2f',\
'%d',\
'%d',\
'%d',\
'%s',\
'%.2f',\
'%s',\
'%d',\
'%.2f',\
'%s',\
'%d',\
'%d',\
'%d',\
'%d'" % \
(row['poolfundNo'],
row['poolfundSourceNo'],
row['entruNo'],
row['tradeAmount'],
row['bizdate'],
row['term'],
row['receDate'],
row['refundAMt'],
row['refundDate'],
row['isSettle'],
row['overdueDays'],
row['company_code'],
row['overdueAmount'],
'',
row['iscredit'],
row['gross_profit'],
row['poolfundType'],
row['tolerance'],
row['source_type'],
self.now_ts,
self.now_ts)
sql = "INSERT INTO lie_basic_detail (%s) VALUES (%s)" % (col_str, value_str)
DBHandler.insert(db, sql)
# print(sql)
# info写DB
def load_erp_info(self, data, db):
col_str = 'erp_company_code,\
first_order_time,\
total_order_amount,\
total_gross_profit,\
recently_six_average_amount,\
recently_six_max_amount,\
recently_three_average_amount,\
recently_three_max_amount,\
last_month_amount,\
reveive_period_aomunt,\
total_delay_times,\
mianly_class,\
create_time,\
update_time'
value_str = "'%s',\
'%d',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%d',\
'%s',\
'%d',\
'%d'" % \
(data['cmp_code'],
data['first_order_time'],
data['total_order_amount'],
data['total_gross_profit'],
data['recently_six_average_amount'],
data['recently_six_max_amount'],
data['recently_thr_average_amount'],
data['recently_thr_max_amount'],
data['last_month_amount'],
data['reveive_period_aomunt'],
data['total_delay_times'],
data['mianly_class'],
self.now_ts,
self.now_ts)
sql = "INSERT INTO lie_basic_info (%s) VALUES (%s)" % (col_str, value_str)
DBHandler.insert(db, sql)
# 月份写进db
def load_erp_month(self, data, table, db):
col_str = 'receive_amount,\
delay_amount,\
receive_count,\
delay_count,\
delay_day,\
period_day,\
tolerance_receive_amount,\
tolerance_receive_count,\
appoint_tolerance,\
schedule_delivery_amount,\
delivery_amount,\
return_amount,\
unload_amount,\
insurance_user_count,\
gross_profit,\
delay_avg_day,\
period_user_level,\
period_weight_A,\
period_weight_B,\
period_platform_level,\
period_use_times_single,\
period_use_times_six,\
erp_company_code,\
month,\
create_time,\
update_time'
for cmp in data:
cmp_data = data[cmp]
for month in cmp_data:
detail = cmp_data[month]
value_str = "'%.2f',\
'%.2f',\
'%d',\
'%d',\
'%d',\
'%d',\
'%.2f',\
'%d',\
'%d',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%d',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%.2f',\
'%s',\
'%d',\
'%d',\
'%d'" % \
(detail['receive_amount'],
detail['delay_amount'],
detail['receive_count'],
detail['delay_count'],
detail['delay_day'],
detail['period_day'],
detail['tolerance_receive_amount'],
detail['tolerance_receive_count'],
detail['appoint_tolerance'],
detail['schedule_delivery_amount'],
detail['delivery_amount'],
detail['return_amount'],
detail['unload_amount'],
detail['insurance_user_count'],
detail['gross_profit'],
detail['delay_avg_day'],
detail['period_user_level'],
detail['period_weight_A'],
detail['period_weight_B'],
detail['period_platform_level'],
detail['period_use_times_single'],
detail['period_use_times_six'],
cmp,
int(str(month).replace('-','')),
self.now_ts,
self.now_ts)
sql = "INSERT INTO %s (%s) VALUES (%s)" % (table, col_str, value_str)
DBHandler.insert(db, sql)
# 清空历史数据
def truncate_erp(self, table, db):
sql = "truncate %s" % table
DBHandler.read(db, sql)
# 初始化数据字典
def init_erp_info(self):
rd = {
'cmp_code': '',
'first_order_time': 0,
'total_order_amount': 0.00,
'total_gross_profit': 0.00,
'recently_six_total_amount': 0.00,
'recently_six_total_count': 0,
'recently_six_average_amount': 0.00,
'recently_six_max_amount': 0.00,
'recently_thr_total_amount': 0.00,
'recently_thr_total_count': 0,
'recently_thr_average_amount': 0.00,
'recently_thr_max_amount': 0.00,
'last_month_amount': 0.00,
'reveive_period_aomunt': 0.00,
'total_delay_times': 0,
'mianly_class': ''
}
return rd
# 初始化月份
def init_erp_month(self, cmp_list, month_list):
rd = {}
for cmp in cmp_list:
rd[cmp] = {}
for month in month_list:
rd[cmp][month] = {
'receive_amount': 0.00,
'delay_amount': 0.00,
'receive_count': 0,
'delay_count': 0,
'delay_day': 0,
'period_day': 0,
'tolerance_receive_amount': 0.00,
'tolerance_receive_count': 0.00,
'appoint_tolerance': 0,
'schedule_delivery_amount': 0.00,
'delivery_amount': 0.00,
'return_amount': 0.00,
'unload_amount': 0.00,
'insurance_user_count': 0,
'gross_profit': 0.00,
'delay_sum_day': 0,
'delay_avg_day': 0,
'period_user_level': 0,
'period_weight_A': 0,
'period_weight_B': 0,
'period_platform_level': 0,
'period_use_times_single': 0,
'period_use_times_six': 0,
'total_delay_avg_day': 0,
'total_tolerance': 0
}
return rd
def init_erp_month_temp(self):
rd = {
'receive_amount': 0.00,
'delay_amount': 0.00,
'receive_count': 0,
'delay_count': 0,
'delay_day': 0,
'period_day': 0,
'tolerance_receive_amount': 0.00,
'tolerance_receive_count': 0.00,
'appoint_tolerance': 0,
'schedule_delivery_amount': 0.00,
'delivery_amount': 0.00,
'return_amount': 0.00,
'unload_amount': 0.00,
'insurance_user_count': 0,
'gross_profit': 0.00,
'delay_sum_day': 0,
'delay_avg_day': 0,
'period_user_level': 0,
'period_weight_A': 0,
'period_weight_B': 0,
'period_platform_level': 0,
'period_use_times_single': 0,
'period_use_times_six': 0,
'total_delay_avg_day': 0,
'total_tolerance': 0
}
return rd
# 判断是否再时间范围内
def is_between_time(self, cmp_ts, months):
start = DateHandler.today_between_months(months)
start_ts = DateHandler.str_to_unix(start, fmt="%Y-%m-%d")
today_ts = DateHandler.date_time(0)
if start_ts <= cmp_ts <= today_ts:
return True
else:
return False
# 最近6个月
def recently_six_month(self, date):
lt = []
year = int(date[0:4])
month = int(date[4:6])
day = 1
for i in range(1, 7):
new_date = DateHandler.day_between_months(year, month, day, i, fmt="%Y%m")
lt.append(new_date)
return "(" + ",".join(lt) + ")"
# 更新月度数据
def update_basic_month(self, data, table, db):
month = data['month']
cmp_code = data['cmp_code']
period_weight_A = data['period_weight_A']
period_weight_B = data['period_weight_B']
period_platform_level = data['period_platform_level']
period_use_times_single = data['period_use_times_single']
period_use_times_six = data['period_use_times_six']
update_time = DateHandler.now_datetime()
sql = "UPDATE %s SET \
period_weight_A = %.2f, \
period_weight_B = %.2f, \
period_platform_level = %.2f, \
period_use_times_single = %.2f, \
period_use_times_six = %.2f,\
update_time = %d \
WHERE erp_company_code = \'%s\' AND month = %d" % \
(
table,
period_weight_A,
period_weight_B,
period_platform_level,
period_use_times_single,
period_use_times_six,
update_time,
cmp_code,
month
)
DBHandler.update(db, sql)
translate/ts_goods.py 0 → 100644
from translate.ts_base import TsBase
from config.conn_list import ConnList
from load.load_mysql import LoadMysql
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
from utils.excel_handler import ExcelHandler
import json
import requests
import time
class TsGoods(TsBase):
"""
获取商品型号
"""
def trans_goods_name(self):
index = 0
rd = {}
r = ConnList.LyGoods()
for spu_id in self.data:
if r.hget("spu", spu_id) is not None:
info = json.loads(str(r.hget("spu", spu_id), encoding="utf-8"))
rd[info['spu_name']] = {'price': self.data[spu_id]['price'], 'canal': self.data[spu_id]['canal']}
if index % 10000 == 0:
print(index)
index += 1
return rd
"""
自营联营型号匹配
"""
def trans_match_name(self, zy, ly, exchange, tax):
# Excel标题、内容
title = ['型号名称', '自营价格', '联营价格', '渠道']
content = ['goods_name', 'zy_price', 'ly_price', 'canal']
# 结果字典
rd = {}
index = 0
# 计算汇总
for goods_name in ly:
if goods_name in zy:
# 自营最低价
zy_price_json = json.loads(zy[goods_name], encoding="utf-8")
zy_price = zy_price_json[len(zy_price_json) - 1]['price_cn']
ly_price_json = json.loads(ly[goods_name]['price'], encoding="utf-8")
ly_canal = ly[goods_name]['canal']
# 联营最低价
if '[' in ly[goods_name]['price']:
try:
ly_price_cn = ly_price_json[len(ly_price_json) - 1]['price_cn']
ly_price_en = ly_price_json[len(ly_price_json) - 1]['price_us']
# 币种转换
if ly_price_cn == 0:
ly_price = round(ly_price_en * exchange * tax, 4)
else:
ly_price = round(ly_price_cn, 4)
rd[index] = {'goods_name': goods_name, 'zy_price': zy_price, 'ly_price': ly_price,
'canal': ly_canal}
index += 1
except:
print('error', ly_price_json)
ExcelHandler.write_to_excel_with_openpyxl(title, content, rd, "1.xls")
return rd
"""
自营比联营价格低的型号
"""
def trans_zy_low_price(self, result):
# Excel标题、内容
title = ['型号名称', '自营价格', '联营价格', '渠道']
content = ['goods_name', 'zy_price', 'ly_price', 'canal']
# 结果字典
rd = {}
index = 0
for r in result:
goods_name = result[r]['goods_name']
zy_price = result[r]['zy_price']
ly_price = result[r]['ly_price']
canal = result[r]['canal']
# 价格比对
if zy_price > ly_price:
rd[index] = {'goods_name': goods_name, 'zy_price': zy_price, 'ly_price': ly_price, 'canal': canal}
index += 1
ExcelHandler.write_to_excel_with_openpyxl(title, content, rd, "2.xls")
return rd
"""
获取立创自营数据
"""
def trans_lc_data(self):
print('立创自营')
db = ConnList.Dashboard()
for goods_name in self.data:
sql = "SELECT concat(sale_count,sale_unit) FROM lie_goods_cal WHERE goods_name = \'%s\'" % goods_name
result = DBHandler.read(db, sql)
if len(result) > 0:
self.data[goods_name]['lc_sale_count'] = result[0][0]
else:
self.data[goods_name]['lc_sale_count'] = 0
"""
获取猎芯总搜索次数
"""
def trans_lx_search(self):
print('猎芯搜索')
index = 1
for goods_name in self.data:
url = "http://so12.ichunt.com/search/searchLog/index"
body = {"keyword/condition": goods_name, "p": 1, "offset": "1", "is_scroll": "1", "is_exact": "1"}
r = requests.post(url, data=body)
if index % 100 == 0:
print(index)
index += 1
try:
if r.json()['error_code'] == 0:
self.data[goods_name]['lx_search_count'] = r.json()['data']['total']
else:
self.data[goods_name]['lx_search_count'] = 0
except:
pass
"""
根据goods_name是否存在决定更新还是插入
"""
def trans_load_gn(self):
db = ConnList.Dashboard()
for goods_name in self.data:
time.sleep(0.01)
sql_exist = "SELECT id FROM lie_stock_find WHERE goods_name = '%s'" % goods_name
exist = DBHandler.read(db, sql_exist)
# 不存在则插入，存在则更新
# 插入
if len(exist) == 0:
load_col = ['goods_name', 'lx_search_count', 'ickey_search_count', 'ickey_trade_count',
'ickey_buyer_count', 'lc_sale_count', 'create_time', 'update_time']
LoadMysql.simple_dict_load(load_col, 'lie_stock_find', [self.data[goods_name]], db=ConnList.Dashboard(), cal_time=False)
# 更新
else:
sql = "UPDATE lie_stock_find SET lx_search_count=%d, ickey_search_count=%d, \
ickey_trade_count=%d, ickey_buyer_count=%d, lc_sale_count='%s', update_time = %d \
WHERE goods_name = '%s'" % \
(self.data[goods_name]['lx_search_count'], self.data[goods_name]['ickey_search_count'],
self.data[goods_name]['ickey_trade_count'], self.data[goods_name]['ickey_buyer_count'],
self.data[goods_name]['lc_sale_count'], self.data[goods_name]['update_time'], goods_name)
DBHandler.read(db, sql)
"""
处理专卖预警数据
"""
def trans_zm_warn(self):
rd = []
for row in self.data:
# 渠道编码
supplier_code = row['supplier_code']
purchase_uid = row['channel_uid']
# sku搜索接口
url = "http://so12.ichunt.com/search/es/searchsku"
body = {"update_time/sr": 'lte,' + str(DateHandler.date_time(25)), "supplier_id": 17,
"goods_status/condition": 1, "status/condition": 1,
'canal/condition': supplier_code}
r = requests.post(url, data=body)
# 有结果
if r.json()['error_code'] == 0:
rd.append({'supplier_code': supplier_code, 'purchase_uid': purchase_uid,
'count': r.json()['data']['total']})
return rd
"""
处理猎芯联营渠道下单数据
"""
def trans_special_canal(self, erp):
rd = {}
for row in self.data:
url = "http://so12.ichunt.com/search/es/searchsku"
body = {"supplier_id": '17',
"goods_status/condition": 1,
"status/condition": 1,
'canal/condition': row['supplier_code']}
r = requests.post(url, data=body)
effect_num = int(r.json()['data']['total']) if r.json()['error_code'] == 0 else 0
rd[row['supplier_name']] = {'supplier_name': row['supplier_name'],
'supplier_code': row['supplier_code'],
'effect_num': effect_num,
'order_num': 0,
'cal_ts': DateHandler.now_date(1, 1),
'insert_time': DateHandler.now_datetime()}
rd['其他'] = {'supplier_name': '其他', # 其他
'supplier_code': '其他',
'effect_num': 0,
'order_num': 0,
'cal_ts': DateHandler.now_date(1, 1),
'insert_time': DateHandler.now_datetime()}
ls = []
for e in erp: # 遍历ERP
sp_name = e['supplier_name']
order_time = e['pur_order_bizdate']
order_no = e['pur_order_no']
sale_man = e['sale_man']
if sp_name in rd:
s_n = sp_name
else:
s_n = '其他'
rd[s_n]['order_num'] += 1
ls.append({'supplier_code': rd[s_n]['supplier_code'],
'order_time': order_time,
'order_no': order_no,
'sale_man': sale_man,
'cal_ts': DateHandler.now_date(1, 1)})
col = ['supplier_code', 'order_time', 'order_no', 'sale_man', 'cal_ts']
LoadMysql.simple_dict_load(col, 'lie_special_order', ls, db=ConnList.Dashboard(), cal_time=False)
return rd
"""
计算曝光料号
"""
def trans_zy_expose_type(self):
rd = {'brand': {}, 'class': {}}
db = ConnList.lxData()
for row in self.data:
goods_id = row['goods_id']
sql = "SELECT brand_name,class_name FROM lie_goods g \
LEFT JOIN lie_brand b ON g.brand_id = b.brand_id \
LEFT JOIN lie_self_classify c ON g.class_id1 = c.class_id \
WHERE goods_id = %d" % goods_id
rs = DBHandler.read(db, sql)
# 品牌和一级类目
brand = rs[0][0]
cls = rs[0][1]
# 品牌
if brand not in rd['brand']:
rd['brand'][brand] = {'expose': 1, 'order_count': 0, 'paid_order': 0, 'cost': 0, 'pur_cost': 0}
else:
rd['brand'][brand]['expose'] += 1
# 一级分类
if cls not in rd['class']:
rd['class'][cls] = {'expose': 1, 'order_count': 0, 'paid_order': 0, 'cost': 0, 'pur_cost': 0}
else:
rd['class'][cls]['expose'] += 1
# 关闭db连接
db.close()
return rd
"""
计算订单
"""
def trans_zy_order_type(self, rd):
db = ConnList.lxData()
for row in self.data:
goods_id = row['goods_id']
sql = "SELECT brand_name,class_name FROM lie_goods g \
LEFT JOIN lie_brand b ON g.brand_id = b.brand_id \
LEFT JOIN lie_self_classify c ON g.class_id1 = c.class_id \
WHERE goods_id = %d" % goods_id
rs = DBHandler.read(db, sql)
# 品牌和一级类目
brand = rs[0][0]
cls = rs[0][1]
# 品牌
if brand not in rd['brand']:
rd['brand'][brand] = {'expose': 0, 'order_count': 1, 'paid_order': 0, 'cost': 0, 'pur_cost': 0}
else:
rd['brand'][brand]['order_count'] += 1
# 一级类目
if cls not in rd['class']:
rd['class'][cls] = {'expose': 0, 'order_count': 1, 'paid_order': 0, 'cost': 0, 'pur_cost': 0}
else:
rd['class'][cls]['order_count'] += 1
db.close()
"""
计算付款订单
"""
def trans_zy_paid_order_type(self, rd):
db = ConnList.lxData()
for row in self.data:
goods_id = row['goods_id']
goods_number = row['goods_number']
sql = "SELECT brand_name,class_name,cost FROM lie_goods g \
LEFT JOIN lie_brand b ON g.brand_id = b.brand_id \
LEFT JOIN lie_self_classify c ON g.class_id1 = c.class_id \
WHERE goods_id = %d" % goods_id
rs = DBHandler.read(db, sql)
# 品牌和一级类目
brand = rs[0][0]
cls = rs[0][1]
cost = rs[0][2] * goods_number
# 品牌
if brand not in rd['brand']:
rd['brand'][brand] = {'expose': 0, 'order_count': 0, 'paid_order': 1, 'cost': cost, 'pur_cost': 0}
else:
rd['brand'][brand]['paid_order'] += 1
rd['brand'][brand]['cost'] += cost
# 一级类目
if cls not in rd['class']:
rd['class'][cls] = {'expose': 0, 'order_count': 0, 'paid_order': 1, 'cost': cost, 'pur_cost': 0}
else:
rd['class'][cls]['paid_order'] += 1
rd['class'][cls]['cost'] += cost
db.close()
"""
计算采购
"""
def trans_zy_purchase(self, rd):
for row in self.data:
brand = row['brand']
cost = row['amount']
# 品牌
if brand not in rd['brand']:
rd['brand'][brand] = {'expose': 0, 'order_count': 0, 'paid_order': 0, 'cost': 0, 'pur_cost': cost}
else:
rd['brand'][brand]['pur_cost'] += cost
translate/ts_order.py
from translate.ts_base import Base
from translate.ts_base import TsBase
from utils.excel_handler import ExcelHandler
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.date_handler import DateHandler
import time
import requests
import re
class TsOrder(Base):
class TsOrder(TsBase):
"""
获取用户订单明细 zzl v1.0
......@@ -16,16 +18,20 @@ class TsOrder(Base):
def trans_order_people(self, exchange):
# Excel标题、内容
title = ['姓名&公司', '手机号', '付款时间', '实付金额', '业务员']
content = ['tax_title', 'mobile', 'pay_time', 'order_amount', 'sale_name']
title = ['姓名&公司', '手机号', '付款时间', '累计付款金额（元）', '累计付款笔数', '交易员', '供应商']
content = ['tax_title', 'mobile', 'pay_time', 'order_amount', 'order_count', 'sale_name', 'supplier_name']
# user_id列表
ul = []
ol = []
# 结果字典
rd = {}
for row in self.data:
user_id = row['user_id']
order_amount = float(row['order_amount'])
if 'order_amount' in row:
order_amount = float(row['order_amount'])
elif 'goods_price' in row:
order_amount = float(row['goods_price'] * row['goods_number'])
currency = row['currency']
pay_time = row['pay_time']
tax_title = row['tax_title']
......@@ -33,25 +39,37 @@ class TsOrder(Base):
mobile = row['mobile']
email = row['email']
sale_id = row['sale_id']
supplier_name = row['supplier_name']
order_id = row['order_id']
# 币种转换
if currency == 2:
order_amount *= exchange
# 用户去重
if user_id not in ul:
ol.append(order_id)
ul.append(user_id)
rd[user_id] = {}
rd[user_id]['order_amount'] = order_amount
rd[user_id]['order_count'] = 1
rd[user_id]['pay_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(pay_time))
rd[user_id]['tax_title'] = tax_name + ' ' + tax_title
rd[user_id]['mobile'] = mobile if mobile != '' else email
rd[user_id]['supplier_name'] = supplier_name
# 跨库获取交易员
db = ConnList.IcData()
sql = 'select name from user_info where userId = %d' % (sale_id)
sql = 'select name from user_info where userId = %d' % sale_id
results = DBHandler.read(db=db, sql=sql)
sale_man = results[0][0] if len(results) > 0 else ''
rd[user_id]['sale_name'] = sale_man
else:
rd[user_id]['order_amount'] += order_amount
# 订单数累加
if order_id not in ol:
ol.append(order_id)
rd[user_id]['order_count'] += 1
# 供应商拼接
if supplier_name not in rd[user_id]['supplier_name']:
rd[user_id]['supplier_name'] += (', ' + supplier_name)
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
......@@ -92,6 +110,531 @@ class TsOrder(Base):
print(user_list)
print(user_paid_list)
"""
计算常用指标
"""
def trans_order_target(self, exchange):
# 用户列表
order_ul = []
paid_ul = []
# 金额
amount = 0
paid_amount = 0
# 数量
count = 0
paid_count = 0
for row in self.data:
user_id = row['user_id']
order_amount = 0
if 'order_amount' in row:
order_amount = float(row['order_amount'])
elif 'goods_price' in row:
order_amount = float(row['goods_price'] * row['goods_number'])
status = row['status']
currency = row['currency']
# 币种转换
if currency == 2:
order_amount *= exchange
# 计算下单金额
amount += order_amount
count += 1
# 计算下单人数
if user_id not in order_ul:
order_ul.append(user_id)
# 计算已付款
if status > 2:
paid_amount += order_amount
paid_count += 1
if user_id not in paid_ul:
paid_ul.append(user_id)
return {'ul': len(order_ul), 'ul_amount': amount, 'count': count, 'paid_ul': len(paid_ul), 'paid_amount': paid_amount, 'paid_count': paid_count}
"""
计算优惠券使用情况
"""
def trans_order_coupon(self, exchange):
ol = []
ul = []
amount = 0
coupon_amount = 0
for row in self.data:
user_id = row['user_id']
order_id = row['order_id']
price = row['price']
price_type = row['price_type']
if price_type == -4:
if user_id not in ul:
ul.append(user_id)
if order_id not in ol:
ol.append(order_id)
coupon_amount += abs(price)
for row in ol:
db = ConnList.Order()
sql = 'select order_amount,currency from lie_order where order_id = %d' % row
results = DBHandler.read(db=db, sql=sql)
order_amount = results[0][0]
currency = results[0][1]
# 币种转换
if currency == 2:
order_amount *= exchange
amount += order_amount
return {'ul': len(ul), 'coupon_amount': coupon_amount, 'order_amount': amount}
"""
计算概览
"""
def trans_order_view(self, exchange):
# 用户列表
order_ul = []
# 金额
amount = 0
for row in self.data:
user_id = row['user_id']
order_amount = float(row['goods_price'] * row['goods_number'])
currency = row['currency']
# 币种转换
if currency == 2:
order_amount *= exchange
# 计算下单金额
amount += order_amount
# 计算人数
if user_id not in order_ul:
order_ul.append(user_id)
return {'user': order_ul, 'amount': amount}
"""
计算各个渠道
"""
def trans_order_tag(self, exchange):
rd = {
'sem': {'user': [], 'amount': 0},
'wx': {'user': [], 'amount': 0},
'wechat': {'user': [], 'amount': 0},
'qq': {'user': [], 'amount': 0}
}
for row in self.data:
order_source = row['order_source']
user_id = row['user_id']
currency = row['currency']
order_amount = float(row['goods_price'] * row['goods_number'])
# 币种转换
if currency == 2:
order_amount *= exchange
# 判断tag
obj = re.match(r'(.*)?adtag=([\w]*)(\.|$|&|(.*))', order_source, re.M | re.I)
# 匹配成功
if obj:
tag = obj.group(2)
# 判断是否再字典中
if tag in rd:
rd[tag]['amount'] += order_amount
# user_id去重
if user_id not in rd[tag]['user']:
rd[tag]['user'].append(user_id)
return rd
"""
区分新老用户
"""
def trans_user_type(self, exchange, start_time):
ul = []
rd = {
'new': {'user': 0, 'amount': 0},
'old': {'user': 0, 'amount': 0}
}
for row in self.data:
user_id = row['user_id']
currency = row['currency']
order_amount = float(row['goods_price'] * row['goods_number'])
# 币种转换
if currency == 2:
order_amount *= exchange
# 判断新老用户
db = ConnList.Order()
sql = 'select 1 FROM lie_order where user_id = %d AND create_time < %s' % (user_id, start_time)
results = DBHandler.read(db=db, sql=sql)
# 0为新用户，否则为老用户
if len(results) == 0:
tag = 'new'
else:
tag = 'old'
# 判断是否在名单内
if user_id not in ul:
ul.append(user_id)
rd[tag]['user'] += 1
rd[tag]['amount'] += order_amount
return rd
"""
计算user_id累计交易型号和累计成单数量
"""
def trans_user_offer(self):
rd = {}
for user_id in self.data:
rd[user_id] = {}
# 统计累计交易单号
db = ConnList.Order()
sql = "SELECT count(order_id) FROM lie_order WHERE status = 10 AND user_id = %d" % user_id
results = DBHandler.read(db=db, sql=sql)
if len(results) > 0:
rd[user_id]['trade_order_num'] = results[0][0]
else:
rd[user_id]['trade_order_num'] = 0
# 统计累计成交型号成交
sql = "SELECT count(goods_id) FROM lie_order_items WHERE user_id = %d" % user_id
results = DBHandler.read(db=db, sql=sql)
if len(results) > 0:
rd[user_id]['trade_sku_num'] = results[0][0]
else:
rd[user_id]['trade_order_num'] = 0
# 获取最新下单时间
sql = "SELECT create_time FROM lie_order WHERE user_id = %d order by create_time desc limit 1" % user_id
results = DBHandler.read(db=db, sql=sql)
if len(results) > 0:
rd[user_id]['last_order_time'] = results[0][0]
else:
rd[user_id]['last_order_time'] = 0
return rd
"""
订单应付金额计算
"""
def trans_order_cal(self):
rd = {'pc': {'count': 0, 'amount': 0, 'people': []},
'h5': {'count': 0, 'amount': 0, 'people': []},
'xcx': {'count': 0, 'amount': 0, 'people': []},
'ht': {'count': 0, 'amount': 0, 'people': []},
'jd': {'count': 0, 'amount': 0, 'people': []},
'zy': {'count': 0, 'amount': 0, 'people': []},
'ly': {'count': 0, 'amount': 0, 'people': []},
'hz': {'count': 0, 'amount': 0, 'people': []}}
for row in self.data:
pf = 1
pf_type = ''
sale_type = ''
order_source = row['order_source']
order_amount = round(float(row['order_amount']), 2)
order_type = row['order_type']
order_goods_type = row['order_goods_type']
currency = row['currency']
user_id = row['user_id']
# 获取pf
pobj = re.match(r'(.*)pf=((-|)[0-9])(,|$|&|(.*))', order_source, re.M | re.I)
if pobj:
pf = int(pobj.group(2))
# 币种转换
if currency == 2:
order_amount = order_amount * 6.8
# 判断平台
if order_type == 3 and order_goods_type == 2:
pf_type = 'jd'
elif order_type == 1:
# 汇总用户
if user_id not in rd['hz']['people']:
rd['hz']['people'].append(user_id)
# 判断平台类型
if pf == 1:
pf_type = 'pc'
elif pf == 2:
pf_type = 'h5'
elif pf == 6:
pf_type = 'xcx'
elif pf == -1:
pf_type = 'ht'
# 判断销售类型 ly zy
if order_goods_type == 1:
sale_type = 'ly'
if user_id not in rd['ly']['people']:
rd['ly']['people'].append(user_id)
elif order_goods_type == 2:
sale_type = 'zy'
if user_id not in rd['zy']['people']:
rd['zy']['people'].append(user_id)
# 数据计算
if pf_type != '' and sale_type != '':
rd[pf_type]['count'] += 1
rd[sale_type]['count'] += 1
rd[pf_type]['amount'] += order_amount
rd[sale_type]['amount'] += order_amount
# 计算汇总
for r in rd:
if r != 'zy' and r != 'ly' and r != 'hz':
rd['hz']['count'] += rd[r]['count']
rd['hz']['amount'] += rd[r]['amount']
return rd
"""
计算订单实付金额
"""
def trans_order_paid_cal(self):
rd = {'pc': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'h5': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'xcx': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'ht': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'jd': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'zy': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'ly': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []},
'hz': {'count': [], 'amount': 0, 'favour_count': 0, 'favour_amount': 0, 'people': []}}
for row in self.data:
pf = 0
pf_type = ''
sale_type = ''
order_source = row['order_source']
order_type = row['order_type']
order_id = row['order_id']
order_goods_type = row['order_goods_type']
currency = row['currency']
price = round(abs(float(row['price'])), 2)
price_type = row['price_type']
user_id = row['user_id']
# 获取pf
pobj = re.match(r'(.*)pf=((-|)[0-9])(,|$|&|(.*))', order_source, re.M | re.I)
if pobj:
pf = int(pobj.group(2))
# 币种转换
if currency == 2:
price = price * 6.8
# 判断平台
if order_type == 3 and order_goods_type == 2:
pf_type = 'jd'
elif order_type == 1:
# 汇总用户
if user_id not in rd['hz']['people']:
rd['hz']['people'].append(user_id)
# 判断平台类型
if pf == 1:
pf_type = 'pc'
elif pf == 2:
pf_type = 'h5'
elif pf == 6:
pf_type = 'xcx'
elif pf == -1:
pf_type = 'ht'
# 判断销售类型
if order_goods_type == 1:
sale_type = 'ly'
if user_id not in rd['ly']['people']:
rd['ly']['people'].append(user_id)
elif order_goods_type == 2:
sale_type = 'zy'
if user_id not in rd['zy']['people']:
rd['zy']['people'].append(user_id)
# 数据计算
if pf_type != '' and sale_type != '':
# -3尾款，-2预付款，-1付款
if -3 <= price_type <= -1:
rd[pf_type]['amount'] += price
rd[sale_type]['amount'] += price
# order_id去重
if order_id not in rd[pf_type]['count']:
rd[pf_type]['count'].append(order_id)
if order_id not in rd[sale_type]['count']:
rd[sale_type]['count'].append(order_id)
# -4优惠金额
elif price_type == -4:
rd[pf_type]['favour_count'] += 1
rd[sale_type]['favour_count'] += 1
rd[pf_type]['favour_amount'] += price
rd[sale_type]['favour_amount'] += price
# 数值变换
for pf in rd:
rd[pf]['count'] = len(rd[pf]['count'])
# 计算汇总
for r in rd:
if r not in ['zy', 'ly', 'hz']:
rd['hz']['favour_count'] += rd[r]['favour_count']
rd['hz']['favour_amount'] += rd[r]['favour_amount']
rd['hz']['count'] += rd[r]['count']
rd['hz']['amount'] += rd[r]['amount']
return rd
"""
转换相关订单Excel数据
"""
def trans_order_excel(self):
rd = {}
order_status = {-1: '已取消', 1: '待审核', 2: '待付款',
3: '待付尾款', 4: '待发货', 7: '部分发货',
8: '待收货', 10: '交易成功'}
inv_type_d = {1: '不开发票', 2: '普通发票', 3: '增值税发票', 4: '其他'}
index = 0
for row in self.data:
order_id = row['order_id']
order_sn = row['order_sn']
order_source = row['order_source']
order_pay_type = row['order_pay_type']
order_amount = row['order_amount'] if row['currency'] == 1 else float(row['order_amount']) * 6.8
user_id = row['user_id']
currency = 'RMB' if row['currency'] == 1 else 'USD'
status = row['status']
cancel_reason = row['cancel_reason']
create_time = DateHandler.unix_to_date(row['create_time'])
# 用户信息
db = ConnList.Order()
sql_user = "SELECT mobile, email FROM lie_user_main WHERE user_id = %d" % user_id
user = DBHandler.read(db, sql_user)
if len(user) > 0:
mobile = user[0][0]
email = user[0][1]
else:
mobile = ''
email = ''
mobile = mobile if mobile != '' else email
# 地址信息
sql_addr = "SELECT consignee, address FROM lie_order_address WHERE order_id = %d" % order_id
addr = DBHandler.read(db, sql_addr)
consignee = addr[0][0]
address = addr[0][1]
# 发票信息
sql_inv = "SELECT inv_type, tax_title, company_phone FROM lie_order_invoice WHERE order_id = %d" % order_id
inv = DBHandler.read(db, sql_inv)
inv_type = inv[0][0]
tax_title = inv[0][1]
company_phone = inv[0][2]
# 格式转换
if 'pf=2' in order_source:
pf = '移动端'
elif 'pf=-1' in order_source:
pf = '后台'
else:
pf = 'PC端'
pt = ''
if order_pay_type == 1:
pt = '全款支付'
elif order_pay_type == 2:
pt = '预付款支付'
elif order_pay_type == 3:
pt = '账期支付'
# 明细信息
sql_items = "SELECT goods_name,brand_name,supplier_name,goods_number,goods_price,single_pre_price \
FROM lie_order_items WHERE order_id = %d" % order_id
items = DBHandler.read(db, sql_items)
for i in items:
goods_name = i[0]
brand_name = i[1]
supplier_name = i[2]
goods_number = i[3]
goods_price = i[4]
single_pre_price = i[5]
# 写如数据
rd[index] = {
'order_id': order_id,
'order_sn': order_sn,
'mobile': mobile,
'consignee': consignee,
'create_time': create_time,
'pf': pf,
'goods_name': goods_name,
'brand_name': brand_name,
'supplier_name': supplier_name,
'goods_number': goods_number,
'goods_price': goods_price,
'single_pre_price': single_pre_price,
'sum_price': float(goods_price) * goods_number,
'currency': currency,
'order_pay_type': pt,
'status': order_status[status],
'address': address,
'inv_type': inv_type_d[inv_type],
'tax_title': tax_title,
'company_phone': company_phone,
'order_source': order_source,
'cancel_reason': cancel_reason,
'order_amount': order_amount
}
index += 1
# for row in self.data:
#
# if 'pf=2' in row['order_source']:
# pf = '移动端'
# elif 'pf=-1' in row['order_source']:
# pf = '后台'
# else:
# pf = 'PC端'
#
# pt = ''
# if row['order_pay_type'] == 1:
# pt = '全款支付'
# elif row['order_pay_type'] == 2:
# pt = '预付款支付'
# elif row['order_pay_type'] == 3:
# pt = '账期支付'
#
# rd[index] = {
# 'order_id': row['order_id'],
# 'order_sn': row['order_sn'],
# 'mobile': row['mobile'] if row['mobile'] != '' else row['email'],
# 'consignee': row['consignee'],
# 'create_time': DateHandler.unix_to_date(row['create_time']),
# 'pf': pf,
# 'goods_name': row['goods_name'],
# 'brand_name': row['brand_name'],
# 'supplier_name': row['supplier_name'],
# 'goods_number': row['goods_number'],
# 'goods_price': row['goods_price'],
# 'single_pre_price': row['single_pre_price'],
# 'sum_price': float(row['goods_price']) * row['goods_number'],
# 'currency': 'RMB' if row['currency'] == 1 else 'USD',
# 'order_pay_type': pt,
# 'status': order_status[row['status']],
# 'address': row['address'],
# 'inv_type': inv_type[row['inv_type']],
# 'tax_title': row['tax_title'],
# 'company_phone': row['company_phone'],
# 'order_source': row['order_source'],
# 'cancel_reason': row['cancel_reason']
# }
#
# index += 1
#
return rd
translate/ts_page.py 0 → 100644
from translate.ts_base import TsBase
from extract.ex_shence import ExShenCe
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
from utils.date_handler import DateHandler
import re
class TsPage(TsBase):
# 初始化
def __init__(self, data):
self.pd = {}
for d in data:
pg = d['ptag']
rg = d['regex']
pgd = d['id']
self.pd[pg] = {}
for pf in ['pc', 'h5']:
self.pd[pg][pf] = {
'page_id': pgd,
'platform': 1 if pf == 'pc' else 2,
'pv_count': 0,
'uv_count': 0,
'ip_count': 0,
'entry_count': 0,
'outward_count': 0,
'exit_count': 0,
'stay_time_count': 0,
'reg_count': 0,
'log_count': 0,
'detail_count': 0,
'addcart_count': 0,
'buy_count': 0,
'search_count': 0,
'result_qq': 0,
'no_result_qq': 0,
'right_qq': 0,
'top_qq': 0,
'confirm_count': 0,
'order_count': 0,
'order_pay_count': 0,
'search_people_count': [],
'reg_people_count': [],
'log_people_count': [],
'addcart_people_count': [],
'buy_people_count': [],
'qq_people_count': [],
'regex': rg
}
# 计算神策数据
def trans_sc_regex(self):
for p in self.pd:
regex = self.pd[p]['pc']['regex']
if regex != '':
pc_re = '(.*)(www\.)' + self.pd[p]['pc']['regex']
h5_re = '(.*)(m\.)' + self.pd[p]['h5']['regex']
pc_sc = ExShenCe('').reg_pui(pc_re)
h5_sc = ExShenCe('').reg_pui(h5_re)
self.pd[p]['pc']['pv_count'] = pc_sc['pv']
self.pd[p]['pc']['uv_count'] = pc_sc['uv']
self.pd[p]['pc']['ip_count'] = pc_sc['ip']
self.pd[p]['h5']['pv_count'] = h5_sc['pv']
self.pd[p]['h5']['uv_count'] = h5_sc['uv']
self.pd[p]['h5']['ip_count'] = h5_sc['ip']
"""
计算登录注册数据
data: 数据
d_key: 需要解析的key
p_key: 平台key
r_key: 结果字典key
"""
def trans_user_rl(self, data, d_key, p_key, r_key):
ul = []
for row in data:
mk = row[d_key]
pf = row[p_key]
ud = row['user_id']
if ud not in ul: # 去除重复user_id
ul.append(ud)
obj = re.match(r'(.*)ptag=([\w\-\.]*)($|,(.*))', mk, re.M | re.I)
pt = self.trans_ptag(obj, 2, 1)
if pt != '': # ptag不为空
self.trans_ptag_value(pt, pf, r_key)
"""
处理ptag
mk: ptag未解析值
"""
def trans_ptag(self, obj, o_ix, o_ax):
ptag = ''
# 判断是否含有ptag
if obj:
line = obj.group(o_ix)
count = line.count('.')
if count > 0:
line_s = line.split('.')
ptag = line_s[len(line_s) - o_ax]
else:
ptag = line
return ptag
"""
处理ptag累加值
ptag: page_tag
pf: 平台值
v: 字典值
"""
def trans_ptag_value(self, ptag, pf, v):
# 数值转换
if pf == 1:
pf_type = 'pc'
else:
pf_type = 'h5'
# 索引值计算
index = 0
for key in self.pd:
if key in ptag and key != '-':
self.pd[key][pf_type][v] += 1
break
index += 1
# 匹配不到的归类到其他
if index == len(self.pd):
self.pd['-'][pf_type][v] += 1
"""
计算人数
"""
def trans_ptag_people(self, ptag, pf, v, ip):
index = 0
for key in self.pd:
if key in ptag and key != '-':
self.pd[key][pf][v].append(ip)
break
index += 1
"""
处理行为数据
data: 行为数据
test_ip: 测试ip
"""
def trans_be_times(self, data, test_ip):
for be in data:
pt = be['ptag']
pf = be['platform']
sc = be['scene']
ip = be['ip']
bh = be['behavior']
if ip not in test_ip:
if pt.strip() != '':
obj = re.match(r'(.*)', pt, re.I | re.M)
r_pt = self.trans_ptag(obj, 1, 1)
# 商详
if re.match(r'(.*)\.detail', pt, re.M | re.I):
self.trans_ptag_value(self.trans_ptag(obj, 1, 2), pf, 'detail_count')
r_pt = self.trans_ptag(obj, 1, 2)
# 加入购物车
if re.match(r'(.*)addcart(.*|$)', sc, re.I | re.M):
self.trans_ptag_value(r_pt, pf, 'addcart_count')
# 立即购买
if re.match(r'(.*)buy(.*|$)', sc, re.I | re.M):
self.trans_ptag_value(r_pt, pf, 'buy_count')
# 搜索
if sc == 'search':
self.trans_ptag_value(r_pt, pf, 'search_count')
# 有结果客服
if re.match(r'(.*)inquiery(.*|$)', pt, re.M | re.I):
self.trans_ptag_value(r_pt, pf, 'result_qq')
# 无结果客服
if re.match(r'(.*)noresult(.*|$)', pt, re.M | re.I):
self.trans_ptag_value(r_pt, pf, 'no_result_qq')
# 右侧客服
if re.match(r'(.*)sidenav(.*|$)', pt, re.M | re.I):
self.trans_ptag_value(r_pt, pf, 'right_qq')
# 顶部客服
if re.match(r'(.*)layer(.*|$)', pt, re.M | re.I):
self.trans_ptag_value(r_pt, pf, 'top_qq')
# 立即结算
if bh == 6:
self.trans_ptag_value(r_pt, pf, 'confirm_count')
# 人数计算
# 搜索人数
if pf == 1:
pf_type = 'pc'
else:
pf_type = 'h5'
# 字典包含
for key in self.pd:
if key in r_pt and key != '-':
if bh == 11 and ip not in self.pd[key][pf_type]['search_people_count']:
self.trans_ptag_people(pt, pf_type, 'search_people_count', ip)
elif bh == 2 and ip not in self.pd[key][pf_type]['reg_people_count']:
self.trans_ptag_people(pt, pf_type, 'reg_people_count', ip)
elif bh == 3 and ip not in self.pd[key][pf_type]['log_people_count']:
self.trans_ptag_people(pt, pf_type, 'log_people_count', ip)
elif bh == 4 and ip not in self.pd[key][pf_type]['addcart_people_count']:
self.trans_ptag_people(pt, pf_type, 'addcart_people_count', ip)
elif bh == 5 and ip not in self.pd[key][pf_type]['buy_people_count']:
self.trans_ptag_people(pt, pf_type, 'buy_people_count', ip)
elif bh == 8 and ip not in self.pd[key][pf_type]['qq_people_count']:
self.trans_ptag_people(pt, pf_type, 'qq_people_count', ip)
break
"""
处理订单数据
data: 订单数据
"""
def trans_order(self, data):
for order in data:
source = order['order_source']
status = order['status']
od = order['order_id']
sobj = re.match(r'(.*)ptag=([\w\-\.]*)($|,(.*))', source, re.M | re.I)
pobj = re.match(r'(.*)pf=([\w\-\.]*)($|,(.*))', source, re.M | re.I)
if pobj:
pf = int(pobj.group(2))
else:
pf = 1
# 区分平台
if pf > 0:
ptag = self.trans_ptag(sobj, 2, 1)
self.trans_ptag_value(ptag, pf, 'order_count')
if status > 2:
self.trans_ptag_value(ptag, pf, 'order_pay_count')
# 存储order_id
pf_type = 'pc' if pf == 1 else 'h5'
pgd = 0
for key in self.pd:
if key in ptag and key != '-':
pgd = self.pd[key][pf_type]['page_id']
break
col = ['order_id', 'page_id', 'platform', 'cal_ts', 'insert_time']
ld = [{'order_id': od, 'page_id': pgd, 'platform': pf,
'cal_ts': DateHandler.now_date(1, 1), 'insert_time': DateHandler.now_datetime()}]
LoadMysql.simple_dict_load(col, 'lie_page_order', ld, db=ConnList.Dashboard(), cal_time=False)
translate/ts_purchase.py 0 → 100644
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from extract.ex_base import Base
from translate.ts_base import TsBase
class TsPurchase(TsBase):
@staticmethod
def trans_sku_wms(data):
wms = ConnList.Wms()
ic = ConnList.IcData()
for sku_id in data:
sql = "SELECT supplier_name, create_uid \
FROM lie_purchase \
WHERE picking_id = \
(SELECT picking_id FROM lie_purchase_items WHERE sku_id = %d ORDER BY picking_id DESC LIMIT 1)" \
% sku_id
# 获取供应商和创建人信息
purchase_data = DBHandler.read(wms, sql)
supplier_name = purchase_data[0][0] if len(purchase_data) > 0 else ''
create_uid = purchase_data[0][1] if len(purchase_data) > 0 else 0
# 获取创建人姓名
sql = "SELECT name FROM user_info WHERE userId = %d" % create_uid
ic_data = DBHandler.read(ic, sql)
data[sku_id]['supplier_name'] = supplier_name
data[sku_id]['creater'] = ic_data[0][0] if len(ic_data) > 0 else ''
# 补全其他信息
col = ['goods_name', 'class_name', 'brand_name', 'encap', 'mpq', 'goods_status',
'goods_type', 'purchase_num', 'in_num', 'lock_stock', 'wait_stock', 'stock',
'(stock+wait_stock) as actual_stock']
col_to_str = Base.col_to_str(col)
sql = "SELECT %s \
FROM lie_safe_stock \
WHERE sku_id = %d" % (col_to_str, sku_id)
wms_data = DBHandler.read(wms, sql)
# 填充数据
index = 0
for c in col:
if c == '(stock+wait_stock) as actual_stock':
c = 'actual_stock'
data[sku_id][c] = wms_data[0][index]
index += 1
# 新增采购数量总数，最高采购价，最低采购价，入库总数字段
sql = "SELECT sum(picking_number), max(picking_price), min(picking_price), sum(putaway_number)\
FROM lie_purchase_items WHERE sku_id = %d" % sku_id
wms_data = DBHandler.read(wms, sql)
for w in wms_data:
data[sku_id]['sum_picking_number'] = w[0] if w[0] is not None else 0
data[sku_id]['max_picking_price'] = '%.2f' % w[1] if w[1] is not None else 0.0
data[sku_id]['min_picking_price'] = '%.2f' % w[2] if w[2] is not None else 0.0
data[sku_id]['sum_putaway_number'] = w[3] if w[3] is not None else 0
wms.close()
ic.close()
"""
去除下架商品
"""
@staticmethod
def trans_rid_soldout_goods(data):
rd = {}
db = ConnList.lxData()
for sku_id in data:
sql = "SELECT 1 FROM lie_goods WHERE goods_id = %d AND status = 3" % sku_id
result = DBHandler.read(db, sql)
if len(result) == 0:
rd[sku_id] = data[sku_id]
db.close()
return rd
translate/ts_rate.py 0 → 100644
from utils.excel_handler import ExcelHandler
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from translate.ts_base import TsBase
import time
class TsRate(TsBase):
"""
获取复购人员名单
"""
@staticmethod
def trans_re_put_account(ex_user, ex_order):
# Excel标题、内容
title = ['账号', '注册时间']
content = ['mobile', 'create_time']
# 结果字典
rd = []
# 下单笔数
order_count = 0
# 下单人数
order_people = 0
# 下单金额
order_amount_ex = 0
# 付款笔数
order_paid_count = 0
# 付款金额
order_paid_amount_ex = 0
# 总下单笔数
order_sum_count = 0
# 总付款笔数
order_sum_paid_count = 0
user_list = []
all_user = []
where_user = {'start_time': 1543766400, 'count': 2}
where_order = {'start_time': 1543766400, 'end_time': 1546272000, 'condition': ['order_id > 0']}
# 复购人员
user_data = ex_user.re_pur_user(where_user)
# 订单数据
order_data = ex_order.all_order(where_order)
for row in order_data:
user_id = row['user_id']
order_status = row['status']
order_currency = row['currency']
order_amount = float(row['order_amount']) * 6.95 if order_currency == 2 else float(row['order_amount'])
order_sum_count += 1
#
if order_status > 2:
order_sum_paid_count += 1
# 计算所有用户数
if user_id not in all_user:
all_user.append(user_id)
# 判断复购用户是否包含在内
if user_id in user_data:
order_count += 1
order_amount_ex += order_amount
if order_status > 2:
order_paid_count += 1
order_paid_amount_ex += order_amount
# 去重
if user_id not in user_list:
user_list.append(user_id)
for user_id in user_list:
db = ConnList.Order()
sql = 'select mobile,email,create_time from lie_user_main where user_id = %d' % user_id
results = DBHandler.read(db=db, sql=sql)
mobile = results[0][0]
email = results[0][1]
create_time = results[0][2]
rd.append({'mobile': mobile if mobile != '' else email,
'create_time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(create_time))})
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
计算首购、复购指标数据
"""
def trans_fb_data(self, exchange):
ul = {}
fb_ul = {}
rb_ul = {'user': 0, 'amount': 0}
for row in self.data:
user_id = row['user_id']
sale_id = row['sale_id']
tax_title = row['tax_title']
nike_name = row['nike_name']
pay_time = row['pay_time']
order_amount = float(row['order_amount'] if row['currency'] == 1 else float(row['order_amount']) * exchange)
# 计算首购数据
if user_id not in fb_ul:
fb_ul[user_id] = {'order_amount': order_amount, 'pay_time': pay_time, 'sale_id': sale_id,
'tax_title': tax_title + nike_name}
else:
# 获取首单
if pay_time < fb_ul[user_id]['pay_time']:
fb_ul[user_id]['pay_time'] = pay_time
fb_ul[user_id]['order_amount'] = order_amount
# 计算复购数据
if user_id not in ul:
ul[user_id] = {'order_amount': order_amount, 'count': 1, 'sale_id': sale_id,
'tax_title': tax_title + nike_name}
else:
ul[user_id]['order_amount'] += order_amount
ul[user_id]['count'] += 1
amount = 0
for user in ul:
if ul[user]['count'] >= 2:
rb_ul['user'] += 1
rb_ul['amount'] += ul[user]['order_amount']
# if ul[user]['order_amount'] >= 30000:
print(user, ul[user]['count'], ul[user]['order_amount'])
amount += ul[user]['order_amount']
# 结果更新
# Excel标题、内容
# rd = {}
# title = ['姓名&公司', '手机号', '实付金额', '业务员']
# content = ['tax_title', 'mobile', 'order_amount', 'sale_name']
# for user_id in fb_ul:
# # if fb_ul[user_id]['order_amount'] >= 30000 and fb_ul[user_id]['count'] >= 2:
# # 补全基础信息
# db = ConnList.Order()
# sql = "SELECT mobile, email \
# FROM lie_user_main u \
# WHERE user_id = %d" % user_id
# results = DBHandler.read(db=db, sql=sql)
# fb_ul[user_id]['mobile'] = results[0][0] if results[0][0] != '' else results[0][1]
# # 跨库获取交易员
# db = ConnList.IcData()
# sale_id = fb_ul[user_id]['sale_id']
# sql = 'select name from user_info where userId = %d' % sale_id
# results = DBHandler.read(db=db, sql=sql)
# sale_man = results[0][0] if len(results) > 0 else ''
# fb_ul[user_id]['sale_name'] = sale_man
# rd[user_id] = fb_ul[user_id]
#
# ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
累计实付
"""
def trans_total_paid(self):
rd = {}
for row in self.data:
user_id = row['user_id']
mobile = row['mobile']
email = row['email']
order_amount = float(row['order_amount'] if row['currency'] == 1 else float(row['order_amount']) * 6.8)
if user_id not in rd:
rd[user_id] = {'email': email, 'mobile': mobile, 'order_amount': order_amount}
else:
rd[user_id]['order_amount'] += order_amount
execl = []
title = ['账号', '累计实付金额']
content = ['account', 'order_amount']
for user_id in rd:
result = rd[user_id]
execl.append({'account': result['mobile'] if result['mobile'] != '' else result['email'],
'order_amount': result['order_amount']})
ExcelHandler.write_to_excel(title, content, execl, "result", result_type=2)
translate/ts_tag.py 0 → 100644
from translate.ts_base import TsBase
from utils.date_handler import DateHandler
from load.load_mysql import LoadMysql
from config.conn_list import ConnList
import re
import json
class TsTag(TsBase):
"""
初始化Adtag字典
"""
def trans_init_dict(self):
at_d = {}
pf_d = ['pc', 'h5']
self.data.append({'one_level_channel_en': 'direct'})
self.data.append({'one_level_channel_en': 'others'})
for row in self.data:
adtag = row['one_level_channel_en']
if adtag != '':
at_d[adtag] = {}
for pf in pf_d:
at_d[adtag][pf] = {'pv_count': 0, 'search_count': 0, 'search_people_count': 0, 'log_count': 0,
'reg_count': 0, 'addcart_count': 0, 'addcart_people_count': [], 'buy_count': 0,
'buy_people_count': [], 'order_count': 0, 'pv_radio': '0%', 'order_id': []}
return at_d
"""
处理adtag值
"""
def trans_bd_tag_value(self, bd_data, is_all):
# pv汇总
sum_pv = 0
# 遍历数据
for row in bd_data:
url = row['url']
pv_count = row['pv_count']
sum_pv += pv_count
# 判断PC端还是H5端
h5_obj = re.match(r'(.*)://m\.(.*)', url, re.M | re.I)
pf = 'h5' if h5_obj else 'pc'
# 判断adtag是否吻合
adtag_obj = re.match(r'(.*)?adtag=([\w]*)(\.|$|&|(.*))', url, re.M | re.I)
# 判断是否自营页面
if is_all is not True:
# 判断是否自营页面
zy_obj = re.match(r'(.*)(/v3/xianhuo|/item/)(.*)', url, re.M | re.I)
if zy_obj:
self.trans_tag_obj(pf, adtag_obj, 2, 'pv_count', pv_count)
else:
self.trans_tag_obj(pf, adtag_obj, 2, 'pv_count', pv_count)
# 计算pv占比
if sum_pv > 0:
for key in self.data:
for pf in ['pc', 'h5']:
self.data[key]['pc']['pv_radio'] = str(round(self.data[key][pf]['pv_count'] / sum_pv * 100, 2)) \
+ '%'
"""
处理自营行为adtag
"""
def trans_be_tag_value(self, be_data, order_data, expose_data, reg_data, log_data, test_ip, is_all):
# 遍历行为
for row in be_data:
ip = row['ip']
adtag = row['adtag']
param = row['param']
pf = 'pc' if row['platform'] == 1 else 'h5'
behavior = row['behavior']
if ip not in test_ip:
adtag_obj = re.match(r'((\w)+)(\.|$|&|(.*))', adtag, re.M | re.I)
if not is_all: # 自营获取
param_obj = re.match(r'(.*)supplier_name=猎芯自营(\.|-|$|&|(.*))', param, re.M | re.I)
# 行为属于自营
if param_obj:
# 搜索
if behavior == 4:
self.trans_tag_ip_obj(pf, adtag_obj, 1, 'addcart_count', 'addcart_people_count', ip)
elif behavior == 5:
self.trans_tag_ip_obj(pf, adtag_obj, 1, 'buy_count', 'buy_people_count', ip)
else:
if behavior == 4: # 所有获取
self.trans_tag_ip_obj(pf, adtag_obj, 1, 'addcart_count', 'addcart_people_count', ip)
elif behavior == 5:
self.trans_tag_ip_obj(pf, adtag_obj, 1, 'buy_count', 'buy_people_count', ip)
# 遍历订单数据
for row in order_data:
order_source = row['order_source']
order_id = row['order_id']
pf_obj = re.match(r'(.*)pf=((-|)[0-9])(\.|$|&|(.*))', order_source, re.M | re.I)
adtag_obj = re.match(r'(.*)adtag=([\w]*)(\.|$|&|(.*))', order_source, re.M | re.I)
# 判断平台
if pf_obj:
pf = 'h5' if int(pf_obj.group(2)) == 2 else 'pc'
self.trans_tag_order_obj(pf, adtag_obj, 2, 'order_count', 1, order_id)
# 遍历曝光数据
for row in expose_data:
row = json.loads(row)
supplier_type = row['supplier_type']
adtag = row['adtag'] if 'adtag' in row else ''
# supplier_type为猎芯自营
if supplier_type == '猎芯自营':
adtag_obj = re.match(r'((\w)+)(\.|$|&|(.*))', adtag, re.M | re.I)
self.trans_tag_obj('pc', adtag_obj, 1, 'search_count', 1)
# 遍历注册数据
for row in reg_data:
rm = row['reg_remark']
cd = row['create_device']
adtag_obj = re.match(r'(.*)adtag=([\w]*)(\.|$|&|(.*))', rm, re.M | re.I)
pf = 'pc' if cd == 1 else 'h5'
self.trans_tag_obj(pf, adtag_obj, 2, 'reg_count', 1)
# 遍历注册数据
ul = []
for row in log_data:
ud = row['user_id']
lr = row['login_remark']
pf = row['platform']
if ud not in ul:
ul.append(ud)
adtag_obj = re.match(r'(.*)adtag=([\w]*)(\.|$|&|(.*))', lr, re.M | re.I)
pf = 'pc' if pf == 1 else 'h5'
self.trans_tag_obj(pf, adtag_obj, 2, 'log_count', 1)
"""
处理正则匹配结果 （不统计IP）
"""
def trans_tag_obj(self, pf, adtag_obj, adtag_index, key, value):
# adtag匹配
if adtag_obj:
adtag = adtag_obj.group(adtag_index)
# key在字典中存在
if adtag in self.data:
tag = adtag
else:
tag = 'others'
else:
tag = 'direct'
# 计算数据累加值
self.data[tag][pf][key] += value
"""
处理正则订单结果
"""
def trans_tag_order_obj(self, pf, adtag_obj, adtag_index, key, value, order_id):
# adtag匹配
if adtag_obj:
adtag = adtag_obj.group(adtag_index)
# key在字典中存在
if adtag in self.data:
tag = adtag
else:
tag = 'others'
else:
tag = 'direct'
# 计算数据累加值
self.data[tag][pf][key] += value
# 添加订单
self.data[tag][pf]['order_id'].append(order_id)
"""
处理正则匹配结果 （统计IP）
key1: 次数
key2: 人数
"""
def trans_tag_ip_obj(self, pf, adtag_obj, adtag_index, key1, key2, ip):
# adtag匹配
if adtag_obj:
adtag = adtag_obj.group(adtag_index)
if adtag in self.data:
tag = adtag
else:
tag = 'others'
else:
tag = 'direct'
# 计算人数
if ip not in self.data[tag][pf][key2]:
self.data[tag][pf][key2].append(ip)
# 计算累加值
self.data[tag][pf][key1] += 1
"""
处理结果
"""
def trans_result(self, result, table):
rd = []
for row in result:
# 数据替换
dt = result[row]
dt_pc = dt['pc']
dt_h5 = dt['h5']
dt_h5['adtag'] = row
dt_pc['adtag'] = row
dt_pc['addcart_people_count'] = len(dt_pc['addcart_people_count'])
dt_h5['addcart_people_count'] = len(dt_h5['addcart_people_count'])
dt_pc['buy_people_count'] = len(dt_pc['buy_people_count'])
dt_h5['buy_people_count'] = len(dt_h5['buy_people_count'])
dt_pc['platform'] = '1'
dt_h5['platform'] = '2'
dt_pc['insert_time'] = DateHandler.now_datetime()
dt_h5['insert_time'] = DateHandler.now_datetime()
dt_pc['cal_ts'] = DateHandler.now_date(1, 1)
dt_h5['cal_ts'] = DateHandler.now_date(1, 1)
rd.append(dt_pc)
rd.append(dt_h5)
# 判断是否有订单
order_list = []
if len(dt_pc['order_id']) > 0:
for order_id in dt_pc['order_id']:
order_list.append({'order_id': order_id, 'adtag': row, 'platform': 1,
'insert_time': DateHandler.now_datetime(), 'cal_ts': DateHandler.now_date(1, 1)})
if len(dt_h5['order_id']) > 0:
for order_id in dt_h5['order_id']:
order_list.append({'order_id': order_id, 'adtag': row, 'platform': 2,
'insert_time': DateHandler.now_datetime(), 'cal_ts': DateHandler.now_date(1, 1)})
# 存在订单，写入DB
if len(order_list) > 0:
load_col = ['order_id', 'adtag', 'platform', 'cal_ts', 'insert_time']
LoadMysql.simple_dict_load(load_col, table, order_list,
db=ConnList.Dashboard(), cal_time=False)
return rd
translate/ts_user.py
from translate.ts_base import Base
from translate.ts_base import TsBase
from utils.excel_handler import ExcelHandler
from config.conn_list import ConnList
from utils.db_handler import DBHandler
from utils.utils_handler import UtilsHandler
import time
import re
class TsUser(Base):
class TsUser(TsBase):
"""
获取一定时间内未登录用户
"""
def trans_user_without_login(self, day):
def trans_user_without_login(self, day, log_start_time, log_end_time):
# Excel标题、内容
title = ['账号', '注册时间']
......@@ -26,7 +28,6 @@ class TsUser(Base):
# 获取登录时间
db = ConnList.Order()
sql = 'select last_login_time from lie_user_login_log where user_id = %d' % user_id
print(user_id)
results = DBHandler.read(db=db, sql=sql)
# 标记位
index = 0
......@@ -34,17 +35,384 @@ class TsUser(Base):
for r in results:
last_login_time = r[0]
# 时间间隔
dur_time = last_login_time - create_time
# dur_time = last_login_time - create_time
# 下次登录时间大于一天且小于X天
if 86400 < dur_time < 60 * 60 * 24 * day:
break
# if 86400 < dur_time < 60 * 60 * 24 * day:
# break
# 标记位自增
if log_start_time <= last_login_time <= log_end_time:
break
index += 1
if index == len(results):
rd.append({'mobile': mobile if mobile != '' else email,
'create_time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(create_time))})
print(len(rd))
# 生成Excel
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
指定时间内未登录用户
"""
def trans_user_without_login_time(self, start_time):
# Excel标题、内容
title = ['user_id', '账号', '注册时间']
content = ['user_id', 'mobile', 'create_time']
# 结果字典
rd = []
index = 0
# 遍历结果集
for row in self.data:
mobile = row['mobile']
email = row['email']
create_time = row['create_time']
user_id = row['user_id']
if index % 1000 == 0:
print(index)
index += 1
# # 获取登录时间
# db = ConnList.Order()
# sql = 'select 1 from lie_user_login_log where user_id = %d AND last_login_time >= %d limit 1' % (user_id, start_time)
# results = DBHandler.read(db=db, sql=sql)
# if len(results) == 0:
rd.append({'user_id': user_id,
'mobile': mobile if mobile != '' else email,
'create_time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(create_time))})
# 生成Excel
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
获取订单会员信息
"""
def trans_user_order(self):
# Excel标题、内容
title = ['账号']
content = ['mobile']
# 结果字典
ul = []
rd = []
for row in self.data:
user_id = row['user_id']
if user_id not in ul:
ul.append(user_id)
db = ConnList.Order()
sql = 'select mobile,email from lie_user_main where user_id = %d' % user_id
results = DBHandler.read(db=db, sql=sql)
mobile = results[0][0]
email = results[0][1]
rd.append({'mobile': mobile if mobile != '' else email})
# 生成Excel
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
统计搜索词
"""
def trans_search_keyword(self, test_ip, pf='NULL'):
key_d = {}
for i in self.data:
r_ip = i['ip']
if r_ip not in test_ip:
i['keyword'] = i['keyword'].lstrip()
i['keyword'] = i['keyword'].rstrip()
i['keyword'] = i['keyword'].upper()
if pf != 'NULL':
if pf == i['platform'] and '</A>' not in i['keyword'] and '<A' not in i['keyword']:
if i['keyword'] not in key_d.keys():
key_d[i['keyword']] = 1
else:
key_d[i['keyword']] += 1
else:
if '</A>' not in i['keyword'] and '<A' not in i['keyword']:
if i['keyword'] not in key_d.keys():
key_d[i['keyword']] = 1
else:
key_d[i['keyword']] += 1
key_c = sorted(UtilsHandler.dict2list(key_d), key=lambda x: x[1], reverse=True)
return key_c
"""
判断新老用户并导出
"""
def trans_no_user(self, start_time, exchange):
# Excel标题、内容
title = ['账号', '用户类型', '实付金额']
content = ['account', 'user_type', 'order_amount']
# 用户列表
new_ul = []
new_paid_ul = []
old_ul = []
old_paid_ul = []
rd = {}
# 金额
new_amount = 0
new_paid_amount = 0
old_amount = 0
old_paid_amount = 0
db = ConnList.Order()
for row in self.data:
user_id = row['user_id']
order_amount = float(row['goods_price'] * row['goods_number'])
status = row['status']
currency = row['currency']
mobile = row['mobile']
email = row['email']
# 币种转换
if currency == 2:
order_amount *= exchange
# 判断新老用户
sql = "SELECT user_id FROM lie_order WHERE user_id = %d AND create_time < %d" % (user_id, start_time)
result = DBHandler.read(db, sql)
user_type = '老用户' if len(result) > 0 else '新用户'
# 下单订单
if user_type == '新用户':
if user_id not in new_ul:
new_ul.append(user_id)
new_amount += order_amount
else:
if user_id not in old_ul:
old_ul.append(user_id)
old_amount += order_amount
# 付款订单
if status > 2:
if user_type == '新用户':
if user_id not in new_paid_ul:
new_paid_ul.append(user_id)
new_paid_amount += order_amount
else:
if user_id not in old_paid_ul:
old_paid_ul.append(user_id)
old_paid_amount += order_amount
# 生成Excel字典
if user_id not in rd:
rd[user_id] = {'account': mobile if mobile != '' else email,
'order_amount': order_amount, 'user_type': user_type}
else:
rd[user_id]['order_amount'] += order_amount
print('新：', len(new_ul), new_amount, len(new_paid_ul), new_paid_amount)
print('旧：', len(old_ul), old_amount, len(old_paid_ul), old_paid_amount)
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=1)
"""
计算PC、H5平台用户数
"""
def trans_pf_user(self, keyword):
rd = {'pc': [], 'h5': [], 'sum': []}
for row in self.data:
pf = 'pc' if row[keyword] == 1 else 'h5'
user_id = row['user_id']
# 平台
if user_id not in rd[pf]:
rd[pf].append(user_id)
# 汇总
if user_id not in rd['sum']:
rd['sum'].append(user_id)
return {'pc': len(rd['pc']), 'h5': len(rd['h5']), 'sum': len(rd['sum'])}
"""
正则计算PC、H5平台次数
"""
def trans_pf_regex_user(self, keyword):
rd = {'pc': 0, 'h5': 0, 'sum': 0}
for row in self.data:
source = row[keyword]
pf_tag = re.match(r'(.*)pf=([0-9])(,|$|&|(.*))', source, re.M | re.I)
if pf_tag:
try:
pf = 'pc' if int(pf_tag.group(2)) == 1 else 'h5'
rd[pf] += 1
except:
pass
return {'pc': rd['pc'], 'h5': rd['h5'], 'sum': rd['pc'] + rd['h5']}
"""
"""
def trans_user_id(self):
rd = []
db = ConnList.Order()
index = 0
title = ['user_id', '账号', '创建时间']
content = ['user_id', 'account', 'create_time']
for row in self.data:
account = row[0]
create_time = row[1]
if type(account) == float:
account = str(int(account))
sql = "SELECT user_id FROM lie_user_main WHERE mobile = \'%s\' OR email = \'%s\'" % (account, account)
results = DBHandler.read(db=db, sql=sql)
if len(results) > 0:
user_id = results[0][0]
else:
user_id = -1
rd.append({'user_id': user_id, 'account': account, 'create_time': create_time})
if index % 1000 == 0:
print(index)
index += 1
db.close()
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
"""
def trans_user_info(self):
rd = []
db = ConnList.Order()
# Excel标题
title = ['会员账号', '推送业务员', '公司名', '收货人', '收货手机/号码']
# Excel内容
content = ['account', 'sale_man', 'com_name', 'consignee', 'mobile']
for row in self.data:
account = row[0]
sale_man = row[1]
if type(account) == str:
account_type = 'u.email'
account = str(account)
else:
account_type = 'u.mobile'
account = int(account)
# left join获取公司user_company的公司名，user_address的具体地址
sql = "SELECT com_name, consignee, a.mobile FROM lie_user_main u \
LEFT JOIN lie_user_company c ON u.user_id = c.user_id \
LEFT JOIN lie_user_address a ON u.user_id = a.user_id \
WHERE %s = \'%s\'" % (account_type, account)
result = DBHandler.read(db, sql)
rd.append({'account': account, 'sale_man': sale_man, 'com_name': result[0][0], 'consignee': result[0][1], 'mobile': result[0][2]})
# 关闭db
db.close()
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
"""
def trans_user_info_2(self):
rd = []
db = ConnList.Order()
# Excel标题
title = ['会员账号', '公司名', '推送业务员', '付款时间', '累计付款金额', '付款笔数', '订单来源']
# Excel内容
content = ['account', 'com_name', 'sale_man', 'pay_time', 'pay_amount', 'pay_count', 'pf']
for row in self.data:
account = row[0]
sale_man = row[2]
pf = '无'
if type(account) == str:
account_type = 'u.email'
account = str(account)
else:
account_type = 'u.mobile'
account = int(account)
# left join获取公司user_company的公司名，user_address的具体地址
sql = "SELECT com_name,a.mobile,u.user_id FROM lie_user_main u \
LEFT JOIN lie_user_company c ON u.user_id = c.user_id \
LEFT JOIN lie_user_address a ON u.user_id = a.user_id \
WHERE %s = \'%s\'" % (account_type, account)
result = DBHandler.read(db, sql)
if len(result) > 0:
com_name = result[0][0]
user_id = result[0][2]
else:
com_name = ''
user_id = -1
# 实付balabala
cal = {'pay_time': 0, 'pay_amount': 0, 'pay_count': []}
sql = "SELECT p.pay_time, p.pay_amount, o.currency, p.order_id, o.order_source FROM lie_pay_log p LEFT JOIN lie_order o ON p.order_id = o.order_id WHERE p.user_id = %d AND p.pay_time BETWEEN %d AND %d" % (user_id, 1554998400, 1556640000)
result = DBHandler.read(db, sql)
for r in result:
pay_time = r[0]
currency = r[2]
order_id = r[3]
order_source = r[4]
pay_amount = float(r[1]) if currency == 1 else float(r[1]) * 6.7
if 'pf=-1' in order_source:
pf = '后台'
elif 'pf=1' in order_source:
pf = 'PC端'
else:
pf = '其他'
cal['pay_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(pay_time))
cal['pay_amount'] += pay_amount
if order_id not in cal['pay_count']:
cal['pay_count'].append(order_id)
rd.append({'account': account, 'com_name': com_name, 'sale_man': sale_man, 'pay_time': cal['pay_time'], 'pay_amount': cal['pay_amount'], 'pay_count': len(cal['pay_count']), 'pf': pf})
# 关闭db
db.close()
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
"""
"""
def trans_user_info_3(self):
rd = []
db = ConnList.Behavior()
# Excel标题
title = ['user_id', '账号', '外部渠道来源', '是否有关键行为']
# Excel内容
content = ['user_id', 'account', 'adtag', 'is_be']
for row in self.data:
user_id = row[0]
account = row[1]
adtag = row[2]
sql = "SELECT 1 FROM lie_behavior_log WHERE behavior IN (8,11) AND user_id = %d" % user_id
result = DBHandler.read(db, sql)
if len(result) > 0:
is_be = '是'
else:
is_be = '否'
rd.append({'user_id': user_id,
'account': account,
'adtag': adtag,
'is_be': is_be})
ExcelHandler.write_to_excel(title, content, rd, "result", result_type=2)
db.close()
translate/ts_wallet.py 0 → 100644
from translate.ts_base import TsBase
from config.conn_list import ConnList
from extract.ex_erp import ExERP
from utils.date_handler import DateHandler
from utils.db_handler import DBHandler
from load.load_mysql import LoadMysql
import time
import copy
class TsWallet(TsBase):
"""
钱包金额汇总
"""
def trans_pay_order(self):
# 计算字典
wallet_dict = {}
for row in self.data:
user_id = row['user_id']
order_sn = row['order_sn']
order_id = row['order_id']
pay_time = row['pay_time']
pay_amount = float(row['pay_amount'])
mobile = row['mobile']
email = row['email']
invite_uid = row['invite_uid']
safe_mobile = row['safe_mobile'] if row['safe_mobile'] is not None else ''
currency = row['currency']
# 币种转换
if currency == 2:
exchange = ExERP(date=DateHandler.unix_to_date(pay_time, fmt="%Y-%m-%d")).get_erp_exchange()
pay_amount *= exchange
if user_id not in wallet_dict:
wallet_dict[user_id] = {'mobile': mobile, 'email': email, 'invite_uid': invite_uid, 'receiver_type': 'invitee', 'safe_mobile': safe_mobile, 'order_list': {}}
wallet_dict[user_id]['order_list'][order_sn] = {}
wallet_dict[user_id]['order_list'][order_sn]['user_id'] = user_id
wallet_dict[user_id]['order_list'][order_sn]['order_id'] = order_id
wallet_dict[user_id]['order_list'][order_sn]['order_sn'] = order_sn
wallet_dict[user_id]['order_list'][order_sn]['pay_time'] = pay_time
wallet_dict[user_id]['order_list'][order_sn]['pay_amount'] = pay_amount
else:
if order_sn in wallet_dict[user_id]['order_list']: # 预付款情况下追加后付款
wallet_dict[user_id]['order_list'][order_sn]['pay_time'] = pay_time
wallet_dict[user_id]['order_list'][order_sn]['pay_amount'] += pay_amount
else:
wallet_dict[user_id]['order_list'][order_sn] = {}
wallet_dict[user_id]['order_list'][order_sn]['user_id'] = user_id
wallet_dict[user_id]['order_list'][order_sn]['order_id'] = order_id
wallet_dict[user_id]['order_list'][order_sn]['order_sn'] = order_sn
wallet_dict[user_id]['order_list'][order_sn]['pay_time'] = pay_time
wallet_dict[user_id]['order_list'][order_sn]['pay_amount'] = pay_amount
return wallet_dict
"""
仅邀请人
"""
def trans_only_inviter(self):
# 邀请人
invite_dict = {}
db = ConnList.Order()
for user_id in self.data:
invite_uid = self.data[user_id]['invite_uid']
order_list = self.data[user_id]['order_list']
if invite_uid not in invite_dict:
sql = "SELECT mobile,email,safe_mobile FROM lie_user_main u LEFT JOIN lie_user_info i ON u.user_id = i.user_id WHERE u.user_id = %d" % invite_uid
result = DBHandler.read(db, sql)
mobile = result[0][0]
email = result[0][1]
safe_mobile = result[0][2] if result[0][2] is not None else ''
invite_dict[invite_uid] = {'mobile': mobile, 'email': email, 'receiver_type': 'inviter', 'safe_mobile': safe_mobile, 'order_list': order_list}
else:
invite_dict[invite_uid]['order_list'] = dict(order_list, **invite_dict[invite_uid]['order_list'])
db.close()
return invite_dict
"""
邀请人和被邀请人
"""
def trans_inviter_and_invitee(self):
# db = ConnList.Local()
db = ConnList.Order()
for user_id in list(self.data.keys()):
invite_uid = self.data[user_id]['invite_uid']
order_list = self.data[user_id]['order_list']
if invite_uid not in self.data:
sql = "SELECT mobile, email, safe_mobile FROM lie_user_main u LEFT JOIN lie_user_info i ON u.user_id = i.user_id WHERE u.user_id = %d" % invite_uid
result = DBHandler.read(db, sql)
mobile = result[0][0]
email = result[0][1]
safe_mobile = result[0][2] if result[0][2] is not None else ''
self.data[invite_uid] = {'mobile': mobile, 'email': email, 'receiver_type': 'inviter', 'safe_mobile': safe_mobile, 'order_list': copy.deepcopy(order_list)}
else:
self.data[invite_uid]['order_list'] = dict(copy.deepcopy(order_list), **self.data[invite_uid]['order_list'])
db.close()
"""
金额返现明细计算
"""
def trans_detail_receiver(self, wallet):
# 钱包规则
inviter_require_amount = float(wallet['inviter_require_amount'])
invitee_require_amount = float(wallet['invitee_require_amount'])
inviter_cashback_scale = float(wallet['inviter_cashback_scale'])
invitee_cashback_scale = float(wallet['invitee_cashback_scale'])
for user_id in self.data:
order_list = self.data[user_id]['order_list']
receiver_type = self.data[user_id]['receiver_type']
require_amount = inviter_require_amount if receiver_type == 'inviter' else invitee_require_amount
for order_sn in order_list:
pay_amount = order_list[order_sn]['pay_amount']
if pay_amount >= require_amount:
if self.data[user_id]['receiver_type'] == 'invitee':
order_list[order_sn]['receiver_amount'] = round(pay_amount * invitee_cashback_scale, 2)
elif self.data[user_id]['receiver_type'] == 'inviter':
order_list[order_sn]['receiver_amount'] = round(pay_amount * inviter_cashback_scale, 2)
else:
order_list[order_sn]['receiver_amount'] = 0
"""
金额汇总返现计算
"""
def trans_summary_receiver(self, wallet):
# 钱包规则
inviter_max_preferential_amount = float(wallet['inviter_max_preferential_amount'])
invitee_max_preferential_amount = float(wallet['invitee_max_preferential_amount'])
for user_id in self.data:
order_list = self.data[user_id]['order_list']
receiver_type = self.data[user_id]['receiver_type']
max_preferential_amount = inviter_max_preferential_amount if receiver_type == 'inviter' else invitee_max_preferential_amount
receiver_amount = 0
pay_amount = 0
for order_sn in order_list:
receiver_amount += order_list[order_sn]['receiver_amount']
pay_amount += order_list[order_sn]['pay_amount']
self.data[user_id]['pay_amount'] = pay_amount
if receiver_amount > max_preferential_amount:
self.data[user_id]['receiver_amount'] = max_preferential_amount
else:
self.data[user_id]['receiver_amount'] = receiver_amount
"""
写入DB
"""
def trans_wallet_load(self, wallet):
wpr_id = wallet['wpr_id']
inviter_max_preferential_amount = float(wallet['inviter_max_preferential_amount'])
invitee_max_preferential_amount = float(wallet['invitee_max_preferential_amount'])
# db = ConnList.Local()
db = ConnList.WriteOrder()
sql_cb = "SELECT max(cb_id) + 1 FROM lie_wallet_cashback"
result_cb = DBHandler.read(db, sql_cb)
cb_id = 1 if (len(result_cb) == 0 or result_cb[0][0] is None) else result_cb[0][0]
for user_id in self.data:
# 汇总
receiver_amount = self.data[user_id]['receiver_amount']
receiver_type = self.data[user_id]['receiver_type']
if receiver_amount > 0:
sql = "SELECT user_id, cb_id FROM lie_wallet_cashback WHERE wpr_id = %d AND user_id = %d LIMIT 1" % (wpr_id, user_id)
result = DBHandler.read(db, sql)
# 汇总表不存在user_id
if len(result) == 0 or result[0][0] is None:
# 汇总数据
self.load_all(self.data[user_id], cb_id, user_id, wallet)
db.commit()
# 明细数据
self.load_detail(self.data[user_id]['order_list'], cb_id, wallet)
db.commit()
cb_id += 1
else:
max_amount = inviter_max_preferential_amount if receiver_type == 'inviter' else invitee_max_preferential_amount
# 明细数据
self.load_detail(self.data[user_id]['order_list'], result[0][1], wallet)
db.commit()
# 更新汇总金额
self.update_summary(result[0][1], db, max_amount)
db.commit()
"""
更新取消订单
"""
def trans_cancel_order(self, wallet):
wpr_id = wallet['wpr_id']
inviter_max_preferential_amount = float(wallet['inviter_max_preferential_amount'])
invitee_max_preferential_amount = float(wallet['invitee_max_preferential_amount'])
# db = ConnList.Local()
db = ConnList.WriteOrder()
sql = "SELECT cb_id,w.order_id FROM lie_wallet_cashback_detail w LEFT JOIN lie_order o ON w.order_id = o.order_id WHERE wpr_id = %d AND status = -1" % wpr_id
result = DBHandler.read(db, sql)
cancel_list = []
cb_list = []
for row in result:
cb_list.append(row[0])
if row[1] not in cancel_list:
cancel_list.append(row[1])
if len(cancel_list) > 0:
# 删除取消订单
sql = "DELETE FROM lie_wallet_cashback_detail WHERE order_id IN (%s)" % ",".join(map(str, cancel_list))
DBHandler.delete(db, sql)
db.commit()
# 占个坑
max_amount = inviter_max_preferential_amount
# 更新金额
for cb_id in cb_list:
self.update_summary(cb_id, db, max_amount)
"""
写入汇总
"""
def load_all(self, data, cb_id, user_id, wallet):
ls = [{
'cb_id': cb_id,
'user_id': user_id,
'user_account': data['mobile'] if data['mobile'] != '' else data['email'],
# 'safe_mobile': data['safe_mobile'],
'total_cashback_amount': data['receiver_amount'],
'total_pay_amount': data['pay_amount'],
'total_order_amount': data['pay_amount'],
'wpr_id': wallet['wpr_id'],
'rule_name': wallet['rule_name'],
'status': -1,
'reviewer_uid': 0,
'reviewer_name': '',
'review_time': 0,
'issuer_uid': 0,
'issuer_name': '',
'issue_time': 0,
'create_time': DateHandler.now_datetime(),
'update_time': DateHandler.now_datetime()
}]
col = ['cb_id', 'user_id', 'user_account', 'total_cashback_amount', 'total_pay_amount',
'total_order_amount',
'wpr_id', 'rule_name', 'status', 'reviewer_uid', 'reviewer_name', 'review_time', 'issuer_uid',
'issuer_name', 'issue_time',
'create_time', 'update_time']
# LoadMysql.simple_dict_load(col, 'lie_wallet_cashback', ls, db=ConnList.Local(), cal_time=False)
LoadMysql.simple_dict_load(col, 'lie_wallet_cashback', ls, db=ConnList.WriteOrder(), cal_time=False)
"""
写入明细
"""
def load_detail(self, order_list, cb_id, wallet):
dl = []
for order_id in order_list:
if order_list[order_id]['receiver_amount'] > 0:
dl.append({
'cb_id': cb_id,
'wpr_id': wallet['wpr_id'],
'order_id': order_list[order_id]['order_id'],
'order_sn': order_list[order_id]['order_sn'],
'order_amount': order_list[order_id]['pay_amount'],
'pay_amount': order_list[order_id]['pay_amount'],
'pay_time': order_list[order_id]['pay_time'],
'cashback_amount': order_list[order_id]['receiver_amount'],
'user_id': order_list[order_id]['user_id']
})
col = ['cb_id', 'wpr_id', 'order_id', 'order_sn', 'order_amount', 'pay_amount', 'pay_time', 'cashback_amount',
'user_id']
# LoadMysql.simple_dict_load(col, 'lie_wallet_cashback_detail', dl, db=ConnList.Local(), cal_time=False)
LoadMysql.simple_dict_load(col, 'lie_wallet_cashback_detail', dl, db=ConnList.WriteOrder(), cal_time=False)
"""
更新汇总金额
"""
def update_summary(self, cb_id, db, max_amount):
sql = "SELECT SUM(cashback_amount) FROM lie_wallet_cashback_detail WHERE cb_id = %d" % cb_id
result = DBHandler.read(db, sql)
if len(result) > 0:
cashback = result[0][0] if result[0][0] is not None else 0
cashback = max_amount if cashback > max_amount else cashback
sql = "UPDATE lie_wallet_cashback SET total_cashback_amount = %f, update_time = %d WHERE cb_id = %d" % (cashback, DateHandler.now_datetime(), cb_id)
DBHandler.update(db, sql)
db.commit()
utils/__pycache__/log_handler.cpython-36.pyc 0 → 100644
No preview for this file type
utils/date_handler.py
import time
import datetime
from dateutil.relativedelta import relativedelta
class DateHandler:
......@@ -49,3 +51,54 @@ class DateHandler:
minute = (end - start) / 60
return round(minute, 2)
"""
获取今天星期几
"""
@staticmethod
def weekday():
return datetime.datetime.now().weekday()
"""
UNIX时间戳转换为时间格式
"""
@staticmethod
def unix_to_date(timestamp, fmt="%Y-%m-%d %H:%M:%S"):
return time.strftime(fmt, time.localtime(timestamp))
"""
字符串时间转化为UNIX时间戳
"""
@staticmethod
def str_to_unix(str, fmt="%Y-%m-%d %H:%M:%S"):
# 转为时间数组
time_array = time.strptime(str, fmt)
return int(time.mktime(time_array))
"""
UNIX后推时间
"""
@staticmethod
def unix_after_days(unix_time, days):
return unix_time + days * 86400
"""
返回今天之前之后的日期
months: +前推 -后推
返回格式：2019-01-01
"""
@staticmethod
def today_between_months(months, fmt="%Y-%m-%d"):
return (datetime.date.today() - relativedelta(months=months)).strftime(fmt)
"""
返回指定时间之前之后的日期
months: +前推 -后推
返回格式：2019-01-01
"""
@staticmethod
def day_between_months(year, month, day, months, fmt="%Y-%m-%d"):
return (datetime.datetime(year, month, 1) - relativedelta(months=months)).strftime(fmt)
utils/db_handler.py
import traceback
import requests
import random
import hashlib
import string
from hdfs import Client
from urllib import parse
from utils.date_handler import DateHandler
class DBHandler:
"""
MySQL读取数据
"""
@staticmethod
def read(db, sql):
......@@ -14,8 +24,139 @@ class DBHandler:
results = cursor.fetchall()
except:
db.rollback()
traceback.print_exc()
finally:
db.close()
print(traceback.print_exc())
return results
"""
MySQL更新数据
"""
@staticmethod
def update(db, sql):
cursor = db.cursor()
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
traceback.print_exc()
print(sql)
"""
MySQL插入数据
"""
@staticmethod
def insert(db, sql):
cursor = db.cursor()
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
traceback.print_exc()
# print(sql)
"""
MySQL删除数据
"""
@staticmethod
def delete(db, sql):
cursor = db.cursor()
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
traceback.print_exc()
print(sql)
"""
读取HDFS数据
"""
@staticmethod
def hdfs_read(file):
client = Client("http://172.18.137.35:50170", root="/", timeout=100, session=False)
with client.read(file) as reader:
result = reader.read().splitlines()
return result
"""
上传HDFS数据
upload(hdfs_path, local_path, overwrite=False, n_threads=1, temp_dir=None,
chunk_size=65536,progress=None, cleanup=True, **kwargs)
overwrite：是否是覆盖性上传文件
n_threads：启动的线程数目
temp_dir：当overwrite=true时，远程文件一旦存在，则会在上传完之后进行交换
chunk_size：文件上传的大小区间
progress：回调函数来跟踪进度，为每一chunk_size字节。它将传递两个参数，
文件上传的路径和传输的字节数。一旦完成，-1将作为第二个参数
cleanup：如果在上传任何文件时发生错误，则删除该文件
"""
@staticmethod
def hdfs_upload(hdfs_path, local_path):
client = Client("http://172.18.137.35:50170", root="/", timeout=100, session=False)
client.upload(hdfs_path=hdfs_path, local_path=local_path)
"""
翻页读取ES数据
"""
@staticmethod
def scroll_read(url, body, key):
r = requests.post(url, data=body)
total = r.json()['data']['total']
final_result = r.json()['data'][key]
scroll_id = r.json()['data']['scroll_id']
if total > 1000:
page = int(total / 1000)
for i in range(page):
body = {"scroll_id": scroll_id}
r = requests.post(url, data=body)
result = r.json()['data'][key]
for r in result:
final_result.append(r)
return final_result
"""
es加密数据获取
"""
@staticmethod
def esEncryptData(key, url):
# 生成当前的时间戳
now_timestamp = DateHandler.now_datetime()
# 生成随机字符串
ran_str = ''.join(random.sample(string.ascii_letters + string.digits, 4)).lower()
# 参数字典
params_dict = {'check_time': now_timestamp, 'salt': ran_str}
# 生成sign, key为密钥
sign = parse.urlencode(params_dict).lower()
# key = 'djdj93ichuntj56dksisearchdj45eieapi'
sign = key + sign + str(ran_str)
sign = hashlib.md5(sign.encode(encoding='UTF-8')).hexdigest()
# 搜索接口
# requestUrl = "http://so12.ichunt.com/search/ServerApi/index"
# 搜索条件
search_body = {"check_time": now_timestamp, "salt": ran_str, "sign": sign}
# requests获取数据
r = requests.post(url, data=search_body)
result = r.json()['data']
return result
utils/excel_handler.py
import xlwt
import xlrd
# workbook相关
from openpyxl.workbook import Workbook
# ExcelWriter，封装了很强大的excel写的功能
from openpyxl.writer.excel import ExcelWriter
from openpyxl.utils import get_column_letter
class ExcelHandler:
......@@ -38,3 +44,76 @@ class ExcelHandler:
# 结果保存
wb.save(file_name + '.xls')
"""
function：
读出*.xlsx中的每一条记录，把它保存在data_dic中返回
Param:
records: 要保存的，一个包含每一条记录的list
save_excel_name: 保存为的文件名
head_row_stu_arrive_star:
Return:
data_dic： 返回的记录的dict
"""
@staticmethod
def write_to_excel_with_openpyxl(title, content, result, file_name):
# 新建一个workbook
wb = Workbook()
# 新建一个excelWriter
ew = ExcelWriter(workbook=wb)
# 第一个sheet是ws
ws = wb.worksheets[0]
# 设置ws的名称
ws.title = "name"
# 写第一行，标题行
print(title)
for h_x in range(1, len(title) + 1):
h_col = get_column_letter(h_x)
ws.cell('%s%s' % (h_col, 1)).value = '%s' % (title[h_x - 1])
# 写第二行及其以后的那些行
i = 2
for r in result:
col_index = 1
for c in content:
col = get_column_letter(col_index)
try:
ws.cell('%s%s' % (col, i)).value = '%s' % str(result[r][c])
except:
ws.cell('%s%s' % (col, i)).value = '%s' % ''
print(result[r][c])
col_index += 1
i += 1
# 写文件
ew.save(filename=file_name)
"""
sheet_name：sheet下数据
data_type：1：以行为基础的list 2：以列为基础的list
"""
@staticmethod
def read_to_excel(file_name, sheet_name, data_type):
rd = []
wb = xlrd.open_workbook(file_name)
# 获取Sheet
sheet = wb.sheet_by_name(sheet_name)
# 获取行数，列数
row = sheet.nrows
col = sheet.ncols
# 遍历获取sheet数据
if data_type == 1:
for i in range(row):
l = []
for j in range(col):
l.append(sheet.cell_value(i, j))
rd.append(l)
elif data_type == 2:
for i in range(col):
l = []
for j in range(row):
l.append(sheet.cell_value(j, i))
rd.append(l)
return rd
utils/log_handler.py 0 → 100644
import time
import json
import logging
class LogHandler:
@staticmethod
def elk_log(msg, msg_code, file_name, app):
data = json.dumps({
'msg': msg,
'msgCode': msg_code,
'ts': int(time.time()),
'dateStr': time.strftime('%Y-%m-%d %H:%M%S', time.localtime(int(time.time()))),
'app': app,
'serverIp': '127.0.0.1',
'fileName': file_name,
'lineNo': "",
'method': ""
})
f = open(file_name, 'a')
f.write(data + '\n')
f.close()
@staticmethod
def logger(level=logging.INFO, filepath='', filename='', logger='',
formatter='%(asctime)s - %(name)s - %(levelname)s - %(message)s'):
handler = logging.FileHandler(filepath + filename)
handler.setLevel(level)
handler.setFormatter(formatter)
logger.addHandler(handler)
utils/msg_handler.py
from urllib import request, parse
import requests
import time
import hashlib
import random
import datetime
import string
import json
robot_api = 'https://oapi.dingtalk.com/robot/send?access_token='
access_token = '030f5d480c8f3a7c199fdcfc91e0e5d3e54149c12d51c4a5a3c0bc07a8be308a'
access_token = 'acb26b0510e79df7e029498c0820c35eb49dc033dc97a633fb1add665852f668'
class MsgHandler:
"""
发送钉钉消息
msg：消息内容
robot：指定机器人
"""
@staticmethod
def send_dd_msg(msg, robot=access_token):
data = {
......@@ -15,4 +26,74 @@ class MsgHandler:
"content": msg
}
}
requests.post(robot_api + robot, json=data)
res = requests.post(robot_api + robot, json=data)
print(res)
"""
调用消息接口发送邮件
data：发送数据内容
email：发送邮件列表
keyword：发送邮件模板
"""
@staticmethod
def send_email(data, email, keyword):
# 验证参数
k1 = int(time.time())
pf = -1
auth_key = 'fh6y5t4rr351d2c3bryi'
encrypt = hashlib.md5(str(k1).encode(encoding='UTF-8')).hexdigest()
encrypt = encrypt + auth_key
k2 = hashlib.md5(encrypt.encode(encoding='UTF-8')).hexdigest()
# 接口
url = "http://api.ichunt.com/msg/sendMessageByAuto"
# 是否忽略是否为本网站会员
is_ignore = 'FALSE'
# 请求参数
body = {"data": json.dumps(data, ensure_ascii=False), "touser": json.dumps(email, ensure_ascii=False),
"keyword": keyword, "is_ignore": is_ignore, "k1": k1, "k2": k2, "pf": pf}
# requests获取数据
requests.post(url, data=body)
"""
针对ES加密的接口返回参数
"""
@staticmethod
def get_encrypt_msg(key, url):
# 生成当前的时间戳
now_timestamp = int(time.time())
# 生成随机字符串
ran_str = ''.join(random.sample(string.ascii_letters + string.digits, 4)).lower()
# 业务参数
today = datetime.date.today()
yesterday = today - datetime.timedelta(days=1)
yesterday_timestamp = int(time.mktime(time.strptime(str(yesterday), '%Y-%m-%d')))
today_timestamp = int(time.mktime(time.strptime(str(today), '%Y-%m-%d')))
start_time = yesterday_timestamp
end_time = today_timestamp
size = 20000
# 参数字典
params_dict = {'check_time': now_timestamp, 'end_time': end_time, 'salt': ran_str,
'size': size, 'start_time': start_time}
# 生成sign, key为密钥
sign = parse.urlencode(params_dict).lower()
sign = key + sign + str(ran_str)
sign = hashlib.md5(sign.encode(encoding='UTF-8')).hexdigest()
# 搜索条件
search_body = {"start_time": start_time, "end_time": end_time, "size": size, "check_time": now_timestamp,
"salt": ran_str, "sign": sign}
# requests获取数据
r = requests.post(url, data=search_body)
result = r.json()['data']
return result
utils/rabbitMq_handler.py 0 → 100644
# !/usr/bin/env python
# -*- coding:utf-8 -*-
from threading import Thread
import pika
class Base(object):
def __init__(self, user, pwd, host, exchange=None, exchange_type=None):
credentials = pika.PlainCredentials(user, pwd)
self.conn = pika.BlockingConnection(pika.ConnectionParameters(host, credentials=credentials)) # 连接
self.ch = self.conn.channel() # 频道
self.exchange = exchange
if exchange and exchange_type:
self.ch.exchange_declare(exchange=exchange, exchange_type=exchange_type)
def send_task_fanout(self, body):
if self.exchange:
self.ch.basic_publish(exchange=self.exchange, routing_key='',
properties=pika.BasicProperties(delivery_mode=2),
body=body)
def __del__(self):
try:
self.ch.close()
self.conn.close()
except Exception:
pass
class _Task(Thread):
def __init__(self, target, args, no_ack, ch, method, properties):
super().__init__(target=target, args=args)
self.no_ack = no_ack
self.ch = ch
self.method = method
self.properties = properties
def run(self):
super().run()
if self.no_ack is False:
self.ch.basic_ack(delivery_tag=self.method.delivery_tag)
class Customer(Base):
def __init__(self, user, pwd, host, task_queue, *store_queues, exchange=None, exchange_type=None, prefetch_count=1,
durable=True, no_ack=False):
super().__init__(user, pwd, host, exchange=exchange, exchange_type=exchange_type)
self.task_queue = task_queue
self.store_queues = store_queues
self.prefetch_count = prefetch_count # 在同一时刻，不要发送超过x条消息给一个工作者（worker）
self.durable = durable # 队列声明为持久化
self.no_ack = no_ack # 消息响应 true为关闭
self.exchange = exchange
self.exchange_type = exchange_type
def send_task(self, body):
self.ch.basic_publish(exchange='', routing_key=self.task_queue,
properties=pika.BasicProperties(delivery_mode=2), body=body)
def store_data(self, data, rk=None):
routing_key = rk if rk else self.store_queues[0]
self.ch.basic_publish(exchange='', routing_key=routing_key,
properties=pika.BasicProperties(delivery_mode=2), body=data)
def server_forever(self, func):
if self.task_queue is not None:
self.ch.queue_declare(queue=self.task_queue, durable=self.durable)
if self.exchange and self.exchange_type:
self.ch.queue_bind(exchange=self.exchange, queue=self.task_queue)
if self.store_queues:
for sq in self.store_queues:
if sq:
self.ch.queue_declare(queue=sq, durable=self.durable)
self.ch.basic_qos(prefetch_count=self.prefetch_count)
self.ch.basic_consume(func, queue=self.task_queue, no_ack=self.no_ack)
self.ch.start_consuming()
class Producer(Base):
def __init__(self, user, pwd, host, task_queue=None, durable=True, exchange=None, exchange_type=None):
super().__init__(user, pwd, host, exchange=exchange, exchange_type=exchange_type)
self.task_queue = task_queue
self.durable = durable # 持久化
self.exchange = exchange
def send_task(self, body):
self.ch.basic_publish(exchange='', routing_key=self.task_queue,
properties=pika.BasicProperties(delivery_mode=2), # make message persistent
body=body)
# self.ch.close()
def produce(self, func):
if self.task_queue is not None:
self.ch.queue_declare(queue=self.task_queue, durable=self.durable)
func(self)
utils/utils_handler.py 0 → 100644
class UtilsHandler:
''' 将字典转化为列表 '''
@staticmethod
def dict2list(dic: dict):
keys = dic.keys()
vals = dic.values()
lst = [(key, val) for key, val in zip(keys, vals)]
return lst
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