kw_tools/SEO/ranking_report.py

import pandas as pd
import dataset
import pymysql
pymysql.install_as_MySQLdb()

name='辜琪鈞'
date = '1128'


def day():
    db = dataset.connect('mysql://choozmo:pAssw0rd@db.ptt.cx:3306/seo?charset=utf8mb4')
    cursor = db.query(f'select term, domain from seo.selected_kw where client ="{name}"')
    kw_lst = []
    for c in cursor:
        kw_lst.append(c['term'])

    df = pd.DataFrame(kw_lst,columns=['kw'])

    rank_lst = []
    for i in kw_lst:
        cursor_general = db.query(f'select kw,ranking from seo.general_log where kw = "{i}" order by dt desc limit 1')
        for c in cursor_general:
            rank_lst.append([c['kw'],c['ranking']])
    db.close()
    df1 = pd.DataFrame(rank_lst,columns=['kw','ranking'])
    df_result = pd.merge(df, df1, on='kw', how='outer').fillna(0)
    df_result.to_csv(f"C:\/Users\/s1301\/Documents\/{date}{name}關鍵字排名.csv", index=False)