123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115 |
- #!/usr/bin/python3
- import sys
- import codecs
- import traceback
- import requests
- import re
- import pandas as pd
- import random
- import urllib
- import dataset
- import json
- import gspread
- import datetime
- from gspread_pandas import Spread, Client
- from oauth2client.service_account import ServiceAccountCredentials
- import os
- import threading
- def save_sheet(df,filename,tabname,startpos='A1'):
- scope = ['https://spreadsheets.google.com/feeds',
- 'https://www.googleapis.com/auth/drive']
- credentials = ServiceAccountCredentials.from_json_keyfile_name('c:\\keys\\spread2.json', scope)
- # credentials = ServiceAccountCredentials.from_json_keyfile_name('/var/keys/spread2.json', scope)
- gc = gspread.authorize(credentials)
- spread = Spread(filename,creds=credentials)
- spread.df_to_sheet(df, index=False, sheet=tabname, start=startpos, replace=False)
- def do_jobs():
- db = dataset.connect('mysql://choozmo:pAssw0rd@db.ptt.cx:3306/hhh?charset=utf8mb4')
- cursor=db.query("SELECT * FROM hhh.rank_details where dt > '2021-06-29 00:00:00' and designer in (select name from customer_list where vip='1')order by dt desc")
- win_lst={}
- c100_lst={}
- searchome_lst={}
- hhh_lst={}
- other_lst={}
- lost_lst={}
- for c in cursor:
- # print(c['designer'],c['title'],c['dt'],c['searchome'],c['c_100'],c['hhh'])
- searchome=int(c['searchome'])
- c_100=int(c['c_100'])
- hhh=int(c['hhh'])
- designer=c['designer']
- if hhh > 0 and c_100==-1 and searchome ==-1:
- win_lst[designer]=hhh
-
- if hhh > 0 and searchome ==-1:
- if c_100 !=-1 and hhh < c_100:
- win_lst[designer]=hhh
- if c_100 !=-1 and hhh > c_100:
- c100_lst[designer]=c_100
- if hhh > 0 and searchome!=-1 and searchome<hhh:
- if win_lst.get(designer) is None:
- if c100_lst.get(designer) is None:
- searchome_lst[designer]=searchome
- lost_lst[designer]=hhh
- if hhh > 0 and searchome!=-1 and hhh<searchome:
- if win_lst.get(designer) is None:
- if searchome_lst.get(designer) is None:
- hhh_lst[designer]=hhh
- if win_lst.get(designer) is None and hhh_lst.get(designer) is None and searchome_lst.get(designer) is None and c100_lst.get(designer) is None:
- print(designer)
- other_lst[designer]=1
- print("win:")
- print(win_lst)
- print(len(win_lst.keys()))
- print("searchome:")
- print(searchome_lst)
- print(len(searchome_lst.keys()))
-
- print("hhh win:")
- print(hhh_lst)
- print(len(hhh_lst.keys()))
- print(len(c100_lst.keys()))
- print("other:")
- print(len(other_lst.keys()))
- vv=0
- for k,v in lost_lst.items():
- vv+=v
- ww=0
- for k,v in searchome_lst.items():
- ww+=v
- print(vv/len(lost_lst.items()))
- print(ww/len(searchome_lst.items()))
- print(hhh_lst)
- # df = pd.DataFrame(columns=('query','users','newusers','pageviews','bouncerate','pvpersession','url'))
- # idx=0
- # for c in cursor:
- # df.loc[idx]=[c['query'],c['users'],c['newusers'],c['pageviews'],c['bouncerate'],c['pvpersession'],c['url']]
- # df.loc[idx]=['okok',333]
- # idx+=1
- # save_sheet(df,'ga_x_gsc','results')
- # save_sheet(df,'ga_x_gsc','with_url')
- t = threading.Thread(target = do_jobs)
- t.start()
- t.join()
|