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querydb.py
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1012 lines (717 loc) · 37.4 KB
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import sqlite3
from tool import analyseTools
from tool.lexiconCenter import CATENAME
from tool.lexiconCenter import CITYNAME
from getData import get_wx_name
'''
其实print()函数的局限就是Python默认编码的局限,因为系统是win7的,python的默认编码不是'utf-8',改一下python的默认编码成'utf-8'就行了
'''
# import sys
# import io
# sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8') # 改变标准输出的默认编码
def connDB():
'''
连接sqlite3数据库
:return:
'''
conn = sqlite3.connect('wxbill.db')
sql = conn.cursor()
return sql
def connSQL(*args):
return args
def connOFF():
pass
class DBAPI():
def __init__(self):
self.sql = connDB()
# 消费记录
def queryCONSUME(self, *args):
'''
##查询需求## ##查询代码##
0. 最高消费金额日期 (moneyTime)
1. 消费最高一次金额 (money)
2. 最晚的一次消费 (zwxf)
3. 平均每天至少消费几次 (zsxf_num)
4. 其中有几天没有消费 (daywxf)
5. 中午时间段消费多少笔11:00~13:30 (noon_xf_num)
6. 早上时间段消费多少笔06:00~09:30 (morn_xf_num)
7. 晚上时间消费多少笔18:00~24:00 (night_xf_num)
8. 平均每天消费多少金额 (avg_day_xf)
9. 收发红包次数 (sf_redpacket_num)
:param args: 输入相应功能编码
:return: 返回查询内容段
'''
data = ()
try:
if str(args[0]) == 'money':
# 最高消费金额
data = self.sql.execute("SELECT max(JE) FROM bill;")
elif str(args[0]) == 'moneyTime':
# 最高消费日期
data = self.sql.execute("SELECT JYSJ FROM BILL WHERE JE == (SELECT max(JE) FROM bill);")
elif str(args[0]) == 'zsxf_num':
# 平均每天至少消费几次
data = self.sql.execute(
"SELECT ((SELECT count(JYSJ) FROM bill) / (SELECT count(DISTINCT strftime('%Y-%m-%d',JYSJ)) FROM bill));")
elif str(args[0]) == 'zwxf':
# 最晚的一次消费
data1 = self.sql.execute("SELECT max(JYSJ) FROM bill WHERE strftime('%H:%M:%S',JYSJ) < '06:00:00';")
data1_num = []
for i in data1:
data1_num = i
if data1_num[0] is None:
data = self.sql.execute(
"SELECT strftime('%Y-%m-%d ', JYSJ) || max(strftime('%H:%M:%S',JYSJ)) FROM bill WHERE strftime('%H:%M:%S',JYSJ) < '24:00:00';")
else:
data = self.sql.execute("SELECT max(JYSJ) FROM bill WHERE strftime('%H:%M:%S',JYSJ) < '06:00:00';")
elif str(args[0]) == 'daywxf':
# 其中几天没有消费
start_day = ''
end_day = ''
current = []
for start in self.sql.execute("SELECT min(DISTINCT strftime('%Y-%m-%d',JYSJ)) FROM bill;"):
start_day = start[0]
for end in self.sql.execute("SELECT max(DISTINCT strftime('%Y-%m-%d',JYSJ)) FROM bill;"):
end_day = end[0]
for curr in self.sql.execute("SELECT DISTINCT strftime('%Y-%m-%d',JYSJ) FROM bill;"):
current.append(curr[0])
# 接口文件
sum_l1 = []
l1 = []
for i in analyseTools.get_date_list(start_day, end_day, current):
l1.append([i, 0])
for i in l1:
sum_l1.append(i)
# data = sum_l1
return [start_day, end_day, len(sum_l1)]
elif str(args[0]) == 'morn_xf_num':
# 早上时间段消费多少笔06:00~09:30
data = self.sql.execute(
"SELECT count(JYSJ) FROM bill WHERE strftime('%H:%M:%S',JYSJ) BETWEEN '06:00:00' AND '09:30:00';")
elif str(args[0]) == 'noon_xf_num':
# 中午时间段消费多少笔11:00~13:30
data = self.sql.execute(
"SELECT count(JYSJ) FROM bill WHERE strftime('%H:%M:%S',JYSJ) BETWEEN '11:00:00' AND '13:30:00';")
elif str(args[0]) == 'night_xf_num':
# 晚上时间段消费多少笔18:00~24:00
data = self.sql.execute(
"SELECT count(JYSJ) FROM bill WHERE strftime('%H:%M:%S',JYSJ) BETWEEN '18:00:00' AND '23:59:59';")
elif str(args[0]) == 'avg_day_xf':
# 平均每天消费多少金额
data = self.sql.execute(
"SELECT ((SELECT SUM(JE) FROM bill WHERE SZ='支出') / (SELECT count(DISTINCT strftime('%Y-%m-%d',JYSJ)) FROM bill));")
elif str(args[0]) == 'sf_redpacket_num':
# 收发红包次数 转账
num = [] # [6, 1] 收, 发, 收到最大金额, 发送最大金额 , 转账次数, 转最大金额, 收最大金额
for i in self.sql.execute("SELECT count(*) FROM bill WHERE JYLX = '微信红包' AND SZ = '收入';"):
num.append(i)
for i in self.sql.execute("SELECT count(*) FROM bill WHERE JYLX = '微信红包' AND SZ = '支出';"):
num.append(i)
for i in self.sql.execute("select max(JE) from bill where JYLX = '微信红包' and SZ = '收入';"):
num.append(i)
for i in self.sql.execute("select max(JE) from bill where JYLX = '微信红包' and SZ = '支出';"):
num.append(i)
for i in self.sql.execute("select count(*) from bill where JYLX = '转账';"):
num.append(i)
for i in self.sql.execute("select max(JE) from bill where JYLX = '转账' and SZ = '支出';"):
num.append(i)
for i in self.sql.execute("select max(JE) from bill where JYLX = '转账' and SZ = '收入';"):
num.append(i)
data = num
else:
print('Input Error!')
except IndexError:
pass
value = []
for i in data:
value.append(i[0])
return value
# 预测查询
def queryForecast(self, *args):
'''
预测功能
##查询需求## ##查询代码##
1. 预测生活规律 (law_of_life)
2. 预测所在领域 (local)
3. 特别的一天 (special_day)
4. 预测最爱吃的东西 (like_thing)
5. 预测每周、每月固定做的事情 (weekly_thing / monthly_thing)
:return:
'''
value = []
try:
if str(args[0]) == 'like_thing':
# 最爱吃的东西
data = self.sql.execute("select SP from bill;")
num = []
for i in data:
num.append(i[0])
# 匹配到喜欢吃的东西
matchData = CATENAME(num).cateDiff()
# 精确数量最多的事物
value = analyseTools.like_thing_list(matchData)
elif str(args[0]) == 'local':
# 预测所在城市
data = self.sql.execute("select JYDF from bill where JYDF NOT like '%外卖%' and NOT JYDF == '上海拉扎斯信息科技有限公司';")
num = []
for i in data:
num.append(i[0])
# 匹配到城市
matchData = CITYNAME(num).cityDiff()
# 精确数量最多的城市
value = analyseTools.like_thing_list(matchData)
elif str(args[0]) == 'weekly_thing':
# 预测每周固定做的事情
data = self.sql.execute("select strftime('%Y-%m-%d',JYSJ),strftime('%w',JYSJ), JYDF, SP from bill where NOT JYDF == '/' and NOT SP == '/';")
num = []
for i in data:
num.append(i)
#print(num)
# 一段日期拆出周一 ~ 周日
elif str(args[0]) == 'monthly_thing':
# 预测每月固定做的事情
pass
elif str(args[0]) == 'special_day':
# 预测特别的一天
# 生日
data_sr = self.sql.execute(
"select JYSJ, JYDF, SP from bill where JYDF LIKE '%生日%' or JYDF LIKE '%蛋糕%' or SP LIKE '%生日%' or SP LIKE '%蛋糕%' LIMIT 1;")
data_sr_list = []
data_hb_list = []
data_countnum_list = []
data_countxf_list = []
for i in data_sr:
data_sr_list.append(i)
if len(data_sr_list):
value = data_sr_list
else:
data_hb = self.sql.execute(
"select strftime('%Y-%m-%d',JYSJ), Count(strftime('%Y-%m-%d',JYSJ)) from bill where JYLX == '微信红包' group by strftime('%Y-%m-%d',JYSJ) ORDER BY COUNT(strftime('%Y-%m-%d',JYSJ)) DESC LIMIT 1;")
for i in data_hb:
data_hb_list.append(i)
if len(data_hb_list):
value = data_hb_list
else:
data_countnum = self.sql.execute(
"select strftime('%Y-%m-%d',JYSJ),Count(strftime('%Y-%m-%d',JYSJ)) from bill group by strftime('%Y-%m-%d',JYSJ) ORDER BY COUNT(strftime('%Y-%m-%d',JYSJ)) DESC LIMIT 1;")
for i in data_countnum:
data_countnum_list.append(i)
if len(data_countnum_list):
value = data_countnum_list
else:
data_countxf = self.sql.execute(
"select strftime('%Y-%m-%d',JYSJ),SUM(JE) from bill GROUP BY strftime('%Y-%m-%d',JYSJ) ORDER BY SUM(JE) DESC LIMIT 1;")
for i in data_countxf:
data_countxf_list.append(i)
if len(data_countxf_list):
value = data_countxf_list
else:
print('Input Error!')
except IndexError:
pass
return value
# 生活事件查询
def queryLife(self, *args):
'''
1. 酒店次数 (jd_num)
2. 飞机出行次数, 火车出行 (fj_num)
5. 滴滴打车次数 (didi_num)
6. 乘坐地铁次数 (subway_num)
7. 外卖订单次数 (waimai_num)
8. 年轻人不要吃太多垃圾食品注意饮食,共吃了肯德基 麦当劳次数, 占当前吃饭总数的百分之几 (ljsp_num)
9. 医院次数 (yiyuan_num)
:return:
'''
value = []
try:
if str(args[0]) == 'didi_num':
# 滴滴打车次数
data = self.sql.execute("select count(JYDF) from bill where JYDF LIKE '%滴滴%';")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'subway_num':
# 乘坐地铁次数
data = self.sql.execute("select count(SP) from bill where SP LIKE '%地铁%' or JYDF LIKE '%北京轨道交通%';")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'waimai_num':
# 外卖订单次数
data = self.sql.execute("select count(SP) from bill where SP LIKE '%外卖%' or JYDF LIKE '%上海拉扎斯信息科技有限公司%';")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'yiyuan_num':
# 医院次数
data = self.sql.execute(
"select count(SP) from bill where SP LIKE '%医院%' or JYDF LIKE '%医院%' or JYDF LIKE '%门诊%';")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'ljsp_num':
# 垃圾食品次数
data = self.sql.execute("select SP from bill where NOT SP == '/' and NOT SP == '收款方备注:二维码收款' and NOT SP == '转账备注:微信转账' and NOT SP == '条码支付';")
num = []
for i in data:
num.append(i[0])
result = CATENAME(num).ljspDiff()
# 吃垃圾食品的次数
count = 0
for i in result:
count += 1
# 占月吃饭的百分之几
bfj = count / 93
value.append([count, bfj])
elif str(args[0]) == 'fj_num':
# 飞机出行次数
data = self.sql.execute(
"select COUNT(SP) from BILL where SP LIKE '%机票%' or SP LIKE '%飞机%' or SP LIKE '%航空%';")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'jd_num':
# 酒店次数
data = self.sql.execute(
"select COUNT(SP) from bill where SP LIKE '%酒店%' or JYDF LIKE '%酒店%' or SP LIKE '%宾馆%' or JYDF LIKE '%宾馆%';")
num = []
for i in data:
num.append(i[0])
value = num
else:
print('Input Error!')
except IndexError:
pass
return value
def queryFootmark(self, *args):
'''
6. 城市足迹, 10个活跃的地点 (footmark_10top)
2. 消费记录图展现活跃地点 (active_local)
11. 假期为所在地的GDP贡献总值 (gdp_sum)
:param args:
:return:
'''
value = []
try:
if str(args[0]) == 'footmark_10top':
data = self.sql.execute("select JYDF from bill where NOT JYDF == '/' and JYDF NOT like '%上海拉扎斯信息科技有限公司%' and JYDF NOT like '%银行%' and JYDF NOT like '%北京轨道交通%' and JYDF NOT like '%携程%' and JYDF NOT like '%手机充值%' and JYDF NOT like '%滴滴%' group by JYDF ORDER BY count(JYDF) DESC;")
num = []
for i in data:
num.append(i[0])
citydiff = CITYNAME(num).cityDiff()
value = set(citydiff)
elif str(args[0]) == 'active_local':
pass
elif str(args[0]) == 'gdp_sum':
pass
else:
print('Input Error!')
except IndexError:
pass
return value
def queryForeEnd(self, *args):
'''
页面前端展现数据
1. 支出明细 (zcmx)
1). 共 多少 条记录 (zcmx_jl)
2. 支出预览 (zcyl_zs)
1).总支出 (zcyl_zzc)
2).总收入 (zcyl_zsr)
3).单笔最高支出 (zcyl_dbzgzc)
4).单笔最高收入 (zcyl_dbzgsr)
5).单笔最高支出百分比 (zcyl_dbzgzcbfb)
6).单笔最高收入百分比 (zcyl_dbzgsrbfb)
消费分类
1). 美食 (zcyl_ms)
2). 交通 (zcyl_jt)
3). 娱乐 (zcyl_yl)
4). 生活 (zcyl_sh)
5). 电子产品 (zcyl_dzcp)
近一周消费
1). 日期 (zcyl_rq)
2). 金额 (zcyl_je)
两周高低消费对比
1). 总消费 (zcyl_zxf)
2). 最低日期
3). 最高日期
TOP10 消费清单 (zcyl_xftop10)
3. 消费支收
1). 半年消费分类 (xfzs_bnxffl)
2). 消费最高一周收支记录 (xfzs_xfzgyzsz)
3). 全年各月收支记录 (xfzs_qngysz)
4. 消费分布
1). 消费区域 (xffb_xfqy)
2). 经常消费商铺 (xffb_jcxfsp)
3). 日常生活 (xffb_rcsh)
4). 钱都去了哪里 (xffb_qdqlnl)
:param args:
:return:
'''
value = []
try:
if str(args[0]) == 'zcmx':
# 支出明细页面
data = self.sql.execute("select ID,SP,JYLX,JE,JYSJ,JYDH from bill;")
num = [['ID', 'SP', 'JYLX', 'JE', 'JYSJ', 'JYDH']]
# count = 0
for i in data:
i5 = str(i[5]).replace('\t', '')
num.append([i[0], i[1], i[2], i[3], i[4], i5])
# num.append([count, i[1], i[2], i[3], i[4], i5])
# count += 1
value = num
elif str(args[0]) == 'zcmx_jl':
# 支出明细 共多少条记录
num = []
for i in self.sql.execute("select COUNT(ID) from bill;"):
num.append(i[0])
value = num
elif str(args[0]) == 'zcyl_zzc':
# 总支出金额
data = self.sql.execute("select SUM(JE) from BILL where SZ == '支出';")
num = []
for i in data:
num.append(i[0])
value = num[0]
elif str(args[0]) == 'zcyl_zsr':
# 总收入金额
data = self.sql.execute("select SUM(JE) from BILL where SZ == '收入';")
num = []
for i in data:
num.append(i[0])
value = num[0]
elif str(args[0]) == 'zcyl_dbzgzc':
# 单笔最高支出
data = self.sql.execute("select max(JE) from bill where SZ == '支出';")
num = []
for i in data:
num.append(i[0])
value = num[0]
elif str(args[0]) == 'zcyl_dbzgsr':
# 单笔最高收入
data = self.sql.execute("select max(JE) from bill where SZ == '收入';")
num = []
for i in data:
num.append(i[0])
value = num[0]
elif str(args[0]) == 'zcyl_dbzgzcbfb':
# 单笔最高支出百分比
data = self.sql.execute("select((select max(JE) from bill where SZ == '支出') / (select SUM(JE) from BILL where SZ == '支出'));")
num = []
for i in data:
# 小数转换位百分比
xs = "%.2f%%" % (i[0] * 100)
num.append(xs)
value = num[0]
elif str(args[0]) == 'zcyl_dbzgsrbfb':
# 单笔最高收入百分比
data = self.sql.execute("select((select max(JE) from bill where SZ == '收入') / (select SUM(JE) from BILL where SZ == '收入'));")
num = []
for i in data:
# 小数转换位百分比
xs = "%.2f%%" % (i[0] * 100)
num.append(xs)
value = num[0]
elif str(args[0]) == 'zcyl_ms':
# 消费分类 - 美食
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
catediff = CATENAME(num).cateDiff()
value.append(len(catediff))
elif str(args[0]) == 'zcyl_jt':
# 消费分类 - 交通
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
jtgjDiff = CITYNAME(num).jtgjDiff()
value.append(len(jtgjDiff))
elif str(args[0]) == 'zcyl_yl':
# 消费分类 - 娱乐
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
yuleDiff = CATENAME(num).yuleDiff()
value.append(len(yuleDiff))
elif str(args[0]) == 'zcyl_sh':
# 消费分类 - 生活
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
shbkDiff = CITYNAME(num).shbkDiff()
value.append(len(shbkDiff))
elif str(args[0]) == 'zcyl_dzcp':
# 消费分类 - 电子产品
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
dzcpDiff = CITYNAME(num).dzcpDiff()
value.append(len(dzcpDiff))
elif str(args[0]) == 'zcyl_rq':
# 近一周消费 - 日期
data = self.sql.execute("select strftime('%m-%d',JYSJ) from BILL group by strftime('%m-%d',JYSJ) ORDER BY strftime('%m-%d',JYSJ) desc limit 7;")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'zcyl_je':
# 近一周消费 - 金额
data = self.sql.execute("select sum(JE) from BILL group by strftime('%m-%d',JYSJ) ORDER BY strftime('%m-%d',JYSJ) desc limit 7;")
num = []
for i in data:
num.append(i[0])
value = num
elif str(args[0]) == 'zcyl_zxf':
# 两周高低消费对比 - 总消费
zgxf = [] # 最高消费周
zdxf = [] # 最低消费周 列表
sumxf = [] # 总数据
# 总数据
for i in self.sql.execute("select strftime('%Y-%m-%d',JYSJ), strftime('%W',JYSJ), SUM(JE)from bill GROUP by strftime('%m-%d',JYSJ);"):
sumxf.append([i[0], i[1], i[2]])
# 最高消费周
for i in self.sql.execute("select count(distinct strftime('%Y-%m-%d',JYSJ)), strftime('%W',JYSJ), SUM(JE) from bill GROUP by strftime('%W',JYSJ) ORDER BY SUM(JE) desc limit 1;"):
zgxf.append(i[1])
# 最低消费周
for i in self.sql.execute("select count(distinct strftime('%Y-%m-%d',JYSJ)), strftime('%W',JYSJ), SUM(JE) from bill GROUP by strftime('%W',JYSJ) ORDER BY SUM(JE);"):
zdxf.append([i[0], i[1]])
# 求最低消费周
zdxf_new = []
for i in zdxf:
if i[0] >= 4:
zdxf_new.append(i[1])
break
count_num = analyseTools.weekly_thing_list(zgxf, zdxf_new, sumxf)
value = count_num
elif str(args[0]) == 'zcyl_xftop10':
# TOP10 消费清单
# 商品 金额 交易时间 当前状态 支付方式
num = []
count = 1
for i in self.sql.execute("select SP, JE, JYSJ, DQZT, ZFFS from bill ORDER BY JE DESC limit 10;"):
num.append([count, i[0], i[1], i[2], i[3], i[4]])
count += 1
value = num
elif str(args[0]) == 'xfzs_bnxffl':
# 半年消费分类
# -- 获取所有月份
month = []
for i in self.sql.execute("select strftime('%m',JYSJ) from bill GROUP BY strftime('%m',JYSJ);"):
month.append(i[0])
# -- 获取 金额 交易对方 月份
data = []
for i in self.sql.execute("select JE, JYDF, strftime('%m',JYSJ) from bill where NOT JYDF == '/';"):
data.append([i[0], i[1], i[2]])
monthList, get_month = analyseTools.get_consume_classify(month, data)
# 返回半年月份列表,获取当前月 [美食$ 交通$ 娱乐$ 生活$ 电子产品$] 金额
return monthList, get_month
elif str(args[0]) == 'xfzs_xfzgyzsz':
# 消费最高一周收支记录
zgxfsr = [] # 最高消费收入
zgxfzc = [] # 最高消费支出
# 最高消费收入
for i in self.sql.execute("select strftime('%w',JYSJ),sum(JE) from bill where strftime('%W',JYSJ) == (select strftime('%W',JYSJ) from bill GROUP by strftime('%W',JYSJ) ORDER BY SUM(JE) desc limit 1) and NOT SZ == '/' and SZ =='收入' GROUP BY strftime('%Y-%m-%d',JYSJ);"):
zgxfsr.append([i[0], i[1]])
# 最高消费支出
for i in self.sql.execute("select strftime('%w',JYSJ),sum(JE) from bill where strftime('%W',JYSJ) == (select strftime('%W',JYSJ) from bill GROUP by strftime('%W',JYSJ) ORDER BY SUM(JE) desc limit 1) and NOT SZ == '/' and SZ =='支出' GROUP BY strftime('%Y-%m-%d',JYSJ);"):
zgxfzc.append([i[0], i[1]])
pay, income = analyseTools.get_xfzgyzsz(zgxfzc, zgxfsr)
return pay, income
elif str(args[0]) == 'xfzs_qngysz':
# 全年各月收支记录
# -- 获取所有月份
year_month_pay = []
for i in self.sql.execute("select strftime('%m',JYSJ),sum(JE) from bill where NOT SZ == '/' and SZ =='支出' GROUP BY strftime('%m',JYSJ);"):
year_month_pay.append([i[0], i[1]])
# -- 获取 金额 交易对方 月份
year_month_income = []
for i in self.sql.execute("select strftime('%m',JYSJ),sum(JE) from bill where NOT SZ == '/' and SZ =='收入' GROUP BY strftime('%m',JYSJ);"):
year_month_income.append([i[0], i[1]])
maxvalue, monthpay_list, monthincome_list = analyseTools.get_year_month_sz(year_month_pay, year_month_income)
return maxvalue, monthpay_list, monthincome_list
elif str(args[0]) == 'xffb_jcxfsp':
# 经常消费商铺
data = self.sql.execute("select JYDF from BILL where NOT JYDF == '/';")
num = []
for i in data:
num.append(i[0])
catediff = CATENAME(num).cateDiff()
jcxfsp_list = analyseTools.get_xffb_jcxfsp(catediff, num)
return jcxfsp_list
elif str(args[0]) == 'xffb_rcsh':
# 日常生活
# 分类
# 滴滴 地铁 外卖 医院 垃圾食品 飞机 酒店 购物 美食 其他
data = self.sql.execute("select (select count(JYDF) from bill where JYDF LIKE '%滴滴%'),(select count(SP) from bill where SP LIKE '%地铁%' or JYDF LIKE '%北京轨道交通%'),(select count(SP) from bill where SP LIKE '%外卖%' or JYDF LIKE '%上海拉扎斯信息科技有限公司%'),(select count(SP) from bill where SP LIKE '%医院%' or JYDF LIKE '%医院%' or JYDF LIKE '%门诊%'),(select count(SP) from bill where JYDF LIKE '%麦当劳%' or JYDF LIKE '%肯德基%' or JYDF LIKE '%辣条%'),(select COUNT(SP) from BILL where SP LIKE '%机票%' or SP LIKE '%飞机%' or SP LIKE '%航空%'),(select COUNT(SP) from bill where SP LIKE '%酒店%' or JYDF LIKE '%酒店%' or SP LIKE '%宾馆%' or JYDF LIKE '%宾馆%'),(select count(SP) from bill where SP LIKE '%商场%' or JYDF LIKE '%商店%' or JYDF LIKE '%超市%' or JYDF LIKE '%便利店%'),(select count(SP) from bill where SP LIKE '%饭店%' or JYDF LIKE '%小吃%' or JYDF LIKE '%美食%' or SP LIKE '%面%' or SP LIKE '%饭%'),(select count(SP) from bill where NOT JYDF LIKE '%滴滴%' AND NOT SP LIKE '%地铁%' AND NOT JYDF LIKE '%北京轨道交通%' AND NOT SP LIKE '%外卖%' AND NOT JYDF LIKE '%上海拉扎斯信息科技有限公司%' AND NOT SP LIKE '%医院%' AND NOT JYDF LIKE '%医院%' AND NOT JYDF LIKE '%门诊%' AND NOT JYDF LIKE '%麦当劳%' AND NOT JYDF LIKE '%肯德基%' AND NOT JYDF LIKE '%辣条%' AND NOT SP LIKE '%机票%' AND NOT SP LIKE '%飞机%' AND NOT SP LIKE '%航空%' AND NOT SP LIKE '%酒店%' AND NOT JYDF LIKE '%酒店%' AND NOT SP LIKE '%宾馆%' AND NOT JYDF LIKE '%宾馆%' AND NOT SP LIKE '%商场%' AND NOT JYDF LIKE '%商店%' AND NOT JYDF LIKE '%超市%' AND NOT JYDF LIKE '%便利店%' AND NOT SP LIKE '%饭店%' AND NOT JYDF LIKE '%小吃%' AND NOT JYDF LIKE '%美食%' AND NOT SP LIKE '%面%' AND NOT SP LIKE '%饭%');")
num = []
for i in data:
for k in i:
num.append(k)
return num
elif str(args[0]) == 'xffb_xfqy':
# 消费分布
# 消费区域
data = self.sql.execute("select JYDF from bill where NOT JYDF == '/' and JYDF NOT like '%上海拉扎斯信息科技有限公司%' and JYDF NOT like '%银行%' and JYDF NOT like '%北京轨道交通%' and JYDF NOT like '%携程%' and JYDF NOT like '%手机充值%' and JYDF NOT like '%滴滴%' group by JYDF ORDER BY count(JYDF) DESC;")
num = []
for i in data:
num.append(i[0])
citydiff = CITYNAME(num).cityDiff()
xfqy_city = analyseTools.get_xffb_xfqy(citydiff)
# [[6, '北京'], [4, '阜阳'], [1, '恩平'], [0, ''], [0, '']]
return xfqy_city
elif str(args[0]) == 'xffb_qdqlnl':
# 消费分布
# 钱都去了哪里
data = self.sql.execute("select JYDF, COUNT(JYDF) from BILL where NOT JYDF == '/' group BY JYDF order by COUNT(JYDF) DESC limit 8;")
num = []
for i in data:
num.append([i[0], i[1]])
return num
else:
print('Input Error!')
except IndexError:
pass
return value
def queryBill(self, *args):
'''
微信账单
1. 共计吃饭消费 (wxzd_cfxf)
2. 交通出行消费 (wxzd_jtxf)
3. 预测生日 (wxzd_ycsr)
4. 计天,消费次,均消费,均每消费 (wxzd_tcxx)
5. 最高消费的一天 (wxzd_zgxf)
6. 扫二维码付款,商户消费 (wxzd_ewmsh)
7. 账单至少消费多少钱 (wxzd_zdxf)
8. 账单时间格式 (wxzd_zdsjgs)
9. 微信账单 称号 随机数 (wxzd_chsjs)
10. 合计 支出金额 收入金额 总计流水 (wxzd_zcsrzj)
11. 会员等级 (wxzd_hydj)
12. 获取当前时间 (wxzd_time)
13. 微信账单 访问第几位用户 流水帐号 (wxzd_fwls)
14. 微信账单 微信昵称 (wxzd_wxnc)
:param args:
:return:
'''
value = []
try:
if str(args[0]) == 'wxzd_cfxf':
# 共计吃饭消费
data = self.sql.execute("select SUM(JE) from bill where SP LIKE '%饭店%' or JYDF LIKE '%小吃%' or "
"JYDF LIKE '%美食%' or SP LIKE '%面%' or SP LIKE '%饭%';")
num = []
for i in data:
num.append(i[0])
return num
elif str(args[0]) == 'wxzd_jtxf':
# 交通出行消费
data = self.sql.execute("select SUM(JE) from bill where JYDF LIKE '%滴滴%' or SP LIKE '%地铁%' or JYDF "
"LIKE '%北京轨道交通%' or JYDF LIKE '%车%' or JYDF LIKE '%加油%' or SP LIKE '%加油%';")
num = []
for i in data:
num.append(i[0])
return num
elif str(args[0]) == 'wxzd_ycsr':
# 预测生日
data = self.sql.execute("select strftime('%Y-%m-%d',JYSJ) from bill where JYDF LIKE '%生日%' or JYDF"
" LIKE '%蛋糕%' or SP LIKE '%生日%' or SP LIKE '%蛋糕%' LIMIT 1;")
num = []
for i in data:
num.append(i[0])
return num
elif str(args[0]) == 'wxzd_tcxx':
# 共计200天, 共消费600次, 平均每天至少消费7次, 平均每次消费20元
data = self.sql.execute("SELECT (select count(distinct strftime('%Y-%m-%d',JYSJ)) from bill),(select "
"count(SP) from BILL where NOT JYDF == '/' or NOT SP == '/' or NOT SZ == '收入'),"
" (select((select count(SP) from BILL where NOT JYDF == '/' or NOT SP == '/')"
" / (select count(distinct strftime('%Y-%m-%d',JYSJ)) from bill))),"
" (select(((SELECT SUM(JE) from BILL WHERE SZ == '支出' or SZ== '/') / "
"(select count(SP) from BILL where NOT JYDF == '/' or NOT SP == '/' "
"or NOT SZ == '收入')) / (select((select count(SP) from BILL where NOT "
"JYDF == '/' or NOT SP == '/') / (select count(distinct "
"strftime('%Y-%m-%d',JYSJ)) from bill)))));")
num = [] # [[85, 332, 3, 34.1]]
for i in data:
num.append([i[0], i[1], i[2], round(i[3], 2)])
return num
elif str(args[0]) == 'wxzd_zgxf':
# 最高消费的一天
data = self.sql.execute("select strftime('%Y-%m-%d',JYSJ) from BILL GROUP BY strftime('%Y-%m-%d',JYSJ)"
" ORDER BY SUM(JE) DESC limit 1;")
num = [] #
for i in data:
num.append(i[0])
return num
elif str(args[0]) == 'wxzd_ewmsh':
# 扫二维码付款, 商户消费
data = self.sql.execute("SELECT (SELECT SUM(JE) from BILL WHERE JYLX == '扫二维码付款'), (SELECT SUM(JE) "
"from BILL WHERE JYLX == '商户消费');")
num = []
for i in data:
num.append([i[0], i[1]])
return num
elif str(args[0]) == 'wxzd_zdxf':
# 账单至少消费多少钱
data = self.sql.execute("SELECT SUM(JE) FROM BILL where NOT SP == '/';")
num = []
for i in data:
num.append(round(i[0], 2))
return num
elif str(args[0]) == 'wxzd_zdsjgs':
# 账单时间格式
data = []
for i in self.sql.execute("select min(distinct strftime('%Y/%m/%d',JYSJ)) from bill;"):
data.append(i)
for i in self.sql.execute("select max(distinct strftime('%Y/%m/%d',JYSJ)) from bill;"):
data.append(i)
num = []
for i in data:
num.append(i[0])
return num
elif str(args[0]) == 'wxzd_chsjs':
# 微信账单 称号 随机数
data = analyseTools.get_random_values()
return data
elif str(args[0]) == 'wxzd_zcsrzj':
# 合计 支出金额 收入金额 总计流水
data = self.sql.execute("SELECT (SELECT SUM(JE) from BILL WHERE SZ == '支出'),(SELECT SUM(JE) from "
"BILL WHERE SZ == '收入'), (SELECT SUM(JE) from BILL);")
num = [] # [[19125.49, 1209.18, 35174.27]]
for i in data:
num.append([round(i[0], 2), round(i[1], 2), round(i[2], 2)])
return num
elif str(args[0]) == 'wxzd_hydj':
# 会员等级
data = self.sql.execute("SELECT SUM(JE) from BILL;")
num = []
for i in data:
num.append(round(i[0], 2))
hydj = analyseTools.get_hydj_values(num)
return hydj
elif str(args[0]) == 'wxzd_time':
# 获取当前时间
time = analyseTools.get_current_time()
return time
elif str(args[0]) == 'wxzd_fwls':
# 微信账单 访问第几位用户 流水帐号
# [4, 1000000000000000004]
fwls = analyseTools.get_access_count()
return fwls
elif str(args[0]) == 'wxzd_wxnc':