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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_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_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
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item.xml 0 → 100644
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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;
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
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pipeline/__pycache__/pi_email.cpython-36.pyc 0 → 100644
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pipeline/__pycache__/pi_erp.cpython-36.pyc 0 → 100644
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pipeline/__pycache__/pi_goods.cpython-36.pyc 0 → 100644
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pipeline/__pycache__/pi_page.cpython-36.pyc 0 → 100644
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pipeline/__pycache__/pi_rank.cpython-36.pyc 0 → 100644
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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_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_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_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))
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
utils/__pycache__/log_handler.cpython-36.pyc 0 → 100644
No preview for this file type
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