| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061 | from concurrent.futures import ThreadPoolExecutorimport requestsimport datetimeimport jsonimport pandas as pdfrom sqlalchemy import create_engineimport uuidimport tracebackdb_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_high_quality_material'    url = 'http://139.186.27.96:31012/ai_high_quality_material'    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("***********", "高质量素材复建-Start, unique_uuid = ", unique_uuid, datetime.datetime.now(), "**************")# 1、获取已有的账号, open_program_create 2是不限  1是程序化  0是自定义sql = """select account_id from ctop_ai_kuaishou_advertiser_strategy where status = 1 and open_program_create in (0,2)"""acc_df = pd.read_sql(sql, engine)acc_list = [int(account_id) for account_id in acc_df['account_id'].unique()]print(acc_list)# 2、 5个账户一组进行发送请求batch_num = 5for 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("***********", "高质量素材复建-End, unique_uuid = ", unique_uuid, datetime.datetime.now(), "**************")
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