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+#!/usr/bin/python
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+# -*- coding: UTF-8 -*-
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+import pandas as pd
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+
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+from datetime import datetime
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+import pymysql
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+pymysql.install_as_MySQLdb()
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+import dataset
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+import requests
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+import gspread
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+from gspread_pandas import Spread, Client
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+from oauth2client.service_account import ServiceAccountCredentials
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+
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+db = dataset.connect('mysql://choozmo:pAssw0rd@db.ptt.cx:3306/seo?charset=utf8mb4')
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+
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+data = pd.DataFrame()
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+
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+def notify_group(msg):
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+ gid='WekCRfnAirSiSxALiD6gcm0B56EejsoK89zFbIaiZQD'
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+ headers = {"Authorization": "Bearer " + gid,"Content-Type": "application/x-www-form-urlencoded"}
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+ r = requests.post("https://notify-api.line.me/api/notify",headers=headers, params={"message": msg})
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+
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+def download(client, date, newest=True):
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+ """關鍵字清單"""
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+ lst_kw = []
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+ db = dataset.connect('mysql://choozmo:pAssw0rd@db.ptt.cx:3306/seo?charset=utf8mb4')
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+ cursor_kw = db.query(f"SELECT term FROM seo.selected_kw where client='{client}'")
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+ for c in cursor_kw:
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+ for i in c.values():
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+ lst_kw.append(i)
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+ print(len(lst_kw))
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+
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+ """抓取general_log關鍵字"""
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+ last_check_lst = []
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+ for i in lst_kw:
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+ if newest:
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+ cursor_last_check = db.query(f"select kw,ranking from seo.general_log where kw='{i}' order by dt desc limit 1")
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+ else:
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+ cursor_last_check = db.query(f"select kw,ranking from seo.general_log where kw='{i}' order by dt limit 1")
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+ group = []
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+ n = 0
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+ for c in cursor_last_check:
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+ for j in c.values():
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+ if 'site' in str(j):
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+ n+=1
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+ if n==1 and j==1:
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+ group.append(101)
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+ else:
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+ group.append(j)
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+ n = 0
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+ last_check_lst.append(group)
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+ # df2 = pd.DataFrame(not_match_kw_lst,columns=['關鍵字組','搜尋排名'])
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+ df3 = pd.DataFrame(last_check_lst, columns=['關鍵字組', '搜尋排名'])
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+ # df_all = pd.concat([df, df3])
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+ df3.to_csv(f"./排名CSV/{client}當日排名{date}.csv", index=False, encoding='utf_8_sig')
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+ db.close()
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+
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+
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+def combine_df(client, date1, date2):
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+ df = pd.read_csv(f'./排名CSV/{client}當日排名{date1}.csv')
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+ df2 = pd.read_csv(f'./排名CSV/{client}當日排名{date2}.csv')
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+ df_result = pd.merge(df, df2, on='關鍵字組', how='outer').fillna(0)
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+ date1 = arrange_date(date1)
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+ date2 = arrange_date(date2)
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+ df_result.columns = ['kw', 'starting_rank', 'current_rank']
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+
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+ p = df_result['starting_rank'].tolist()
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+ l = df_result['current_rank'].tolist()
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+
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+ c = [u"\u2197 "+str(abs(int(i)-int(j))) if int(i)-int(j)>0 \
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+ else u"\u2198 "+str(abs(int(i)-int(j))) if int(i)-int(j)<0 \
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+ else u"\u2192 "+str(abs(int(i)-int(j))) for (i, j) in zip(p, l)]
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+
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+ df_result['client'] = client
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+ df_result['change'] = c
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+ df_result['kw'] = df_result['kw'].str.split('site',0).str[0]
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+ df_result.to_csv(f"./排名CSV/combine/{client}排名變化.csv", index=False, encoding='utf_8_sig')
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+ return df_result, date1, date2
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+
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+def arrange_date(date):
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+ if date[0] == 0 :
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+ date = date[1]+'/'+date[2:]
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+ else:
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+ date = date[:2]+'/'+date[2:]
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+ return date
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+
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+def checkrank(data):
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+ msg = "以下是排名下降的關鍵字：\n"
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+ msg2 = "以下是目前排名於百名外的關鍵字：\n"
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+ flag1=0
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+ flag2=0
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+ for row in data.index:
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+ #print(row)
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+ delta = int(data['starting_rank'][row])-int(data['current_rank'][row])
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+ if (delta < 0):
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+ msg += "[" + data['client'][row] + "] " + data['kw'][row] + ": " + str(int(data['starting_rank'][row])) + " -> " + str(int(data['current_rank'][row])) + " (" + str(int(delta)) + ")\n"
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+ flag1=1
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+ if (int(data['current_rank'][row]) == 101): #out of range...
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+ msg2 += "[" + data['client'][row] + "] " + data['kw'][row] + "\n"
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+ flag2=1
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+ print(msg)
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+ print(msg2)
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+ return msg, msg2, flag1, flag2
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+
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+if __name__ == "__main__":
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+ date1 = '0707'
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+ date2 = '0717'
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+ lst = ['清原', '神助物流', '班尼斯', '有夠讚', '仁本', '火柴星人', '呷茶']
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+ for client in lst:
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+ date1 = '0707'
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+ date2 = '0718'
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+ download(client, date1, newest=False)
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+ download(client, date2, newest=True)
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+ res, d1, d2 = combine_df(client, date1, date2)
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+ data = data.append(res, ignore_index=True)
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+ data.to_csv(f"./排名CSV/combine/__排名變化.csv", index=False, encoding='utf_8_sig')
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+
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+ scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive']
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+ credentials = ServiceAccountCredentials.from_json_keyfile_name("choozmointernal-2e314f3d4e12.json", scope)
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+ gc = gspread.authorize(credentials)
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+ spread = Spread("kw_ranking_tracker",creds=credentials)
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+ spread.df_to_sheet(data, index=False, sheet="main", start="A1", replace=False)
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+ time_stamp = datetime.now()
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+ time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
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+
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+ spread.sheet.update('G1', '最後更新:' + time_stamp)
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+
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+ msg, msg2, flag1, flag2=checkrank(data)
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+
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+ if flag1 == 1:
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+ msg01 = [msg[i:i+1000] for i in range(0, len(msg), 1000)]
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+ for m1 in msg01:
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+ notify_group(m1)
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+ print(m1)
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+
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+ if flag2 == 1:
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+ msg02 = [msg2[i:i+1000] for i in range(0, len(msg2), 1000)]
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+ for m2 in msg02:
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+ notify_group(m2)
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+ print(m2)
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