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time_task新增测试文件

mrstotoro 4 năm trước cách đây
mục cha
commit
0bd2d19bf4
1 tập tin đã thay đổi với 69 bổ sung0 xóa
  1. 69 0
      time_task/time_task_for_test.py

+ 69 - 0
time_task/time_task_for_test.py

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+from concurrent.futures import ThreadPoolExecutor
+import requests
+import datetime
+import json
+import pandas as pd
+from sqlalchemy import create_engine
+import uuid
+import traceback
+
+
+db_con_str = "mysql+pymysql://%s:%s@%s:%d/%s" % ("data", "hcst@2021", "139.186.27.96", 4000, "jeecg-boot")
+engine = create_engine(db_con_str, connect_args={'charset': 'utf8'})
+
+
+def send_request(account_id):
+    # url = 'http://139.186.27.96:31012/ai_check_and_up_to_full_creative'
+    # url = 'http://139.186.27.96:31012/ai_up_creative_by_hour'
+    url = 'http://192.168.0.111:31012/ai_up_creative_by_hour'
+    try:
+        request_data = json.dumps({"account_id": account_id})
+        request = requests.post(url, request_data)
+        return json.loads(request.text)
+    except Exception:
+        return "account_id = %s, request = %s, traceback = %s " % (account_id, request, traceback.format_exc())
+
+
+# 0、 打印该定时任务被调用的时间
+unique_uuid = str(uuid.uuid4())
+print("***********", "Test-Start, unique_uuid = ", unique_uuid, datetime.datetime.now(), "**************")
+
+
+# 1、获取已有的账号
+sql = """
+select account_id from ctop_ai_kuaishou_advertiser_strategy where status = 1
+"""
+acc_df = pd.read_sql(sql, engine)
+acc_list = [int(account_id) for account_id in acc_df['account_id'].unique()]
+print(acc_list)
+# 手淘账号: 9792538 登陆账号: 16525841725 密码:a123456
+# 233账号: 9864909 登陆账号: jy20201254@163.com 密码:jysz12345
+# 消消消账号: 6020747 登陆账号: 15715158532 密码:xxx@112233
+# 斗地主账号:8067888  登陆账号: 13699377642 密码:yg@12345
+acc_list = [9881505, 9863696]
+
+# 2、 5个账户一组进行发送请求
+batch_num = 5
+for i in range(0, len(acc_list), batch_num):
+    if i + batch_num < len(acc_list):
+        print(datetime.datetime.now(), tuple(acc_list[i:i+batch_num]))
+        with ThreadPoolExecutor(max_workers=batch_num) as pool:
+            results = pool.map(send_request, tuple(acc_list[i: i+batch_num]))
+            for r in results:
+                print('res = %s' % r)
+    else:
+        with ThreadPoolExecutor(max_workers=batch_num) as pool:
+            print(datetime.datetime.now(), acc_list[i: len(acc_list)])
+            results = pool.map(send_request, tuple(acc_list[i: len(acc_list)]))
+            for r in results:
+                print('res = %s' % r)
+
+# 3、 打印该定时任务结束的时间
+print("***********", "Test-End, unique_uuid = ", unique_uuid, datetime.datetime.now(), "**************")
+
+
+
+
+
+
+