import pymysql import pandas as pd DIRECTORY_PATH = '/data2/models/' def get_video_id(): db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle') cursor = db.cursor() sql = "select diary_id from feed_diary_boost;" cursor.execute(sql) result = cursor.fetchall() df=pd.DataFrame(list(result)) df.to_csv('/data2/models/video_diary_id.csv',index=None) print("成功") db.close() def queue(): db = pymysql.connect(host='rm-m5e842126ng59jrv6.mysql.rds.aliyuncs.com', port=3306, user='doris', passwd='o5gbA27hXHHm', db='doris_prod') cursor = db.cursor() sql = "select native_queue from device_diary_queue where device_id = 'AB20292B-5D15-4C44-9429-1C2FF5ED26F6';" cursor.execute(sql) result = cursor.fetchall() df = pd.DataFrame(list(result)) all = df.loc[0,0].split(",") print(all[:10]) db.close() return all def get_local_device(): db = pymysql.connect(host='192.168.15.12', port=4000, user='root', db='jerry_test') cursor = db.cursor() sql = "select device_id,city_id from user_active_time" cursor.execute(sql) result = cursor.fetchall() df = pd.DataFrame(list(result)).dropna() df = df.rename(columns={"0": "device_id", "1": "city_id"}) db.close() df.to_csv('/Users/mac/utils/test_device_city_id.csv', index=None) print(1) if __name__=="__main__": LOCAL_HOST = 'rdsmaqevmuzj6jy.mysql.rds.aliyuncs.com' db = pymysql.connect(host=LOCAL_HOST, port=3306, user='work', passwd='workwork', db='doris_test') diary_id = [14207355,16197023,13006945,12363565,15296547,15082216,16198052,15228350,13006942,14229868,15303563,16211116,15225921,15250715,15271108,15479315,16197047,15544727,15336944,15486003,15517196,16211130,15547275,15572010] device_id = '99000645287876' city_id = 'beijing' cursor = db.cursor() id_str = str(diary_id[0]) for i in range(1, len(diary_id)): id_str = id_str + "," + str(diary_id[i]) sql = "insert into device_diary_queue values ('{}','{}','{}','{}','{}','{}',89)".format \ (device_id, city_id,id_str,id_str,id_str,id_str) cursor.execute(sql) db.commit() db.close() print("成功写入diary_id")