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@@ -0,0 +1,61 @@
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+from concurrent.futures import ThreadPoolExecutor
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+import requests
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+import datetime
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+import json
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+import pandas as pd
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+from sqlalchemy import create_engine
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+
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+
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+db_con_str = "mysql+pymysql://%s:%s@%s:%d/%s" % ("data", "hcst@2021", "139.186.27.96", 4000, "jeecg-boot")
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+engine = create_engine(db_con_str, connect_args={'charset': 'utf8'})
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+
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+
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+def send_request(account_id):
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+ url = 'http://139.186.27.96:31012/ai_historical_missing_material'
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+ request_data = json.dumps({"account_id": account_id})
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+ request = requests.post(url, request_data)
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+ return json.loads(request.text)
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+
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+
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+# 0、 打印该定时任务被调用的时间
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+print("*************************", datetime.datetime.now(), "*************************")
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+
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+
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+# 1、获取已有的账号
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+sql = """
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+select account_id from ctop_ai_kuaishou_advertiser_strategy where status = 1
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+"""
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+acc_df = pd.read_sql(sql, engine)
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+acc_list = [int(account_id) for account_id in acc_df['account_id'].unique()]
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+print(acc_list)
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+# 手淘账号: 9792538 登陆账号: 16525664317 密码:a123456
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+# 233账号: 9864909 登陆账号: jy20201254@163.com 密码:jysz12345
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+# 消消消账号: 6020747 登陆账号: 15715158532 密码:xxx@112233
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+# 斗地主账号:8067888 登陆账号: 13699377642 密码:yg@12345
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+acc_list = [9792538, 9864909, 6020747, 8067888]
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+print(acc_list)
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+
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+# 2、 5个账户一组进行发送请求
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+batch_num = 5
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+for i in range(0, len(acc_list), batch_num):
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+ if i + batch_num < len(acc_list):
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+ print(tuple(acc_list[i:i + batch_num]))
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+ with ThreadPoolExecutor(max_workers=batch_num) as pool:
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+ results = pool.map(send_request, tuple(acc_list[i: i+batch_num]))
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+ for r in results:
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+ print('res = %s' % r)
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+ else:
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+ with ThreadPoolExecutor(max_workers=batch_num) as pool:
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+ print(acc_list[i: len(acc_list)])
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+ results = pool.map(send_request, tuple(acc_list[i: len(acc_list)]))
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+ for r in results:
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+ print('res = %s' % r)
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+
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