def get_task_report(cls, shop_id, campaign_id, last_sync_time, tapi):
mnger = cls.get_manager(campaign_id, last_sync_time, tapi)
if not mnger.has_task():
mnger.time_slot = cls.get_time_slot(last_sync_time)
mnger.register_task(tapi)
if time_is_ndays_interval(mnger.task_start_time, 2): # 超过两天，就放弃之前的任务，重新生成任务
mnger.time_slot = cls.get_time_slot(last_sync_time) # 重新生成timeslot
mnger.register_task(tapi)
return False, []
else:
status = mnger.get_status(tapi)
if status == TaskStatusEnum.done:
rpt_list = mnger.get_task_result(shop_id)
return True, rpt_list
elif status == TaskStatusEnum.failed:
# 如果是今天的任务，还可以抢救一下，否则只能重新生成任务了，因为报表的特殊性，只要过一天，结果就不一样了。
if time_is_ndays_interval(mnger.task_start_time, 0):
mnger.regenerate_task(tapi)
else:
mnger.time_slot = cls.get_time_slot(last_sync_time)
mnger.register_task(tapi)
return False, []
else:
return False, []
def ensure_task(cls, shop_id, campaign_id, last_sync_time, tapi): # 保证任务生成，不管结果
mnger = cls.get_manager(campaign_id, last_sync_time, tapi)
if time_is_ndays_interval(mnger.task_start_time, 2): # 超过两天，就放弃之前的任务，重新生成任务
mnger.time_slot = cls.get_time_slot(last_sync_time) # 重新生成time_slot
mnger.register_task(tapi)
return True
else:
if mnger.get_status(tapi) == TaskStatusEnum.failed:
if time_is_ndays_interval(mnger.task_start_time, 0):
mnger.regenerate_task(tapi)
else:
mnger.time_slot = cls.get_time_slot(last_sync_time)
mnger.register_task(tapi)
return True
else:
return True
def auto_optimize_dryrun2(adg_wrapper, strategy_name = '', summary_rpt = -1):
adg_wrapper.init_report(force_sync_qscore = time_is_ndays_interval(adg_wrapper.adgroup.qscore_sync_time, 1))
#
adg_wrapper.prepare_data_4optimize_mobile()
analyze_result = AdgRptAnalyze().analyze(adg_wrapper = adg_wrapper)
adg_wrapper.analyze_result.update(analyze_result)
adg_wrapper.calc_kw_limitprice_mobile(kw_g_cpc = analyze_result.get('kw_g_ppc7', 500))
strategy_mobile_name = strategy_name
if not strategy_name:
if adg_wrapper.kw_list_valid:
alg = Algorithm1()
strategy_mobile_name, _ = alg.diagnose(adg_wrapper = adg_wrapper)
else:
strategy_mobile_name = DEFAULT_NO_CLICK_STRATEGY
strategy_mobile = StrategyFactory().get(name = strategy_mobile_name)
strategy_mobile.dry_run(data = adg_wrapper)
adg_wrapper.prepare_data_4optimize_pc()
analyze_result = AdgRptAnalyze().analyze(adg_wrapper = adg_wrapper)
adg_wrapper.analyze_result.update(analyze_result)
adg_wrapper.calc_kw_limitprice_pc(kw_g_cpc = analyze_result.get('kw_g_ppc7', 500))
strategy_pc_name = strategy_name
if not strategy_name:
if adg_wrapper.kw_list_valid:
alg = Algorithm1()
strategy_pc_name, _ = alg.diagnose(adg_wrapper = adg_wrapper)
else:
strategy_pc_name = DEFAULT_NO_CLICK_STRATEGY
strategy_pc = StrategyFactory().get(name = strategy_pc_name)
strategy_pc.dry_run(data = adg_wrapper)
adg_wrapper.summarize_report(rpt = summary_rpt)
return
def auto_optimize_dryrun(adg_wrapper, strategy_name = ''):
adg_wrapper.init_report(force_sync_qscore = time_is_ndays_interval(adg_wrapper.adgroup.qscore_sync_time, 1))
analyze_result = AdgRptAnalyze().analyze(adg_wrapper = adg_wrapper)
adg_wrapper.analyze_result.update(analyze_result)
adg_wrapper.calc_kw_limitprice(kw_g_cpc = analyze_result.get('kw_g_ppc7', 500))
alg = Algorithm1()
if not strategy_name:
strategy_name, _ = alg.diagnose(adg_wrapper = adg_wrapper)
strategy = StrategyFactory().get(name = strategy_name)
strategy.dry_run(data = adg_wrapper)
return
def is_outservice(shop_id):
expire_days = Config.get_value('web.clean_up.OUTSERVICE_EXPIRE_DAYS',
default=15)
deadline_query_sql = "select deadline from router_articleusersubscribe where nick=(select nick from router_user where shop_id=%s) order by deadline desc limit 1"
# 检查是否可删除
deadline_list = execute_query_sql(deadline_query_sql % shop_id)
for tmp_deadline in deadline_list:
deadline = tmp_deadline["deadline"]
if time_is_ndays_interval(deadline, expire_days):
return True
return False
def temp_strategy_optimize_dryrun(adg_wrapper, strategy_name, kw_cmd_list, adg_cmd_list):
adg_wrapper.init_report(force_sync_qscore = time_is_ndays_interval(adg_wrapper.adgroup.qscore_sync_time, 1))
analyze_result = AdgRptAnalyze().analyze(adg_wrapper = adg_wrapper)
adg_wrapper.analyze_result.update(analyze_result)
adg_wrapper.calc_kw_limitprice(kw_g_cpc = analyze_result.get('kw_g_ppc7', 500))
if strategy_name:
strategy = StrategyFactory().get(name = strategy_name)
else:
adg_wrapper.can_add_kw = False
strategy = CommandStrategy(cmd_cfg_name = 'temp')
strategy.bind_temp_strategy(kw_cmd_list = kw_cmd_list, adg_cmd_list = adg_cmd_list)
strategy.dry_run(data = adg_wrapper)
def is_recent(value, args):
"""
判断该对象是不是最近创建，或者最近删除等
{{k|is_recent:'create_time,5'}} 返回True或者False，天数要注意，如果是一周内，天数是6，可以是负数
{{k|is_recent:'create_time'}} 不带天数表示是否是当天
"""
try:
if value and args:
args_list = args.split(',')
if hasattr(value, args_list[0]):
from apps.common.utils.utils_datetime import time_is_ndays_interval, time_is_someday
if len(args_list) == 2:
return time_is_ndays_interval(getattr(value, args_list[0]),
int(args_list[1]))
elif len(args_list) == 1:
return time_is_someday(getattr(value, args_list[0]))
else:
raise Exception()
else:
raise Exception()
except Exception, e:
return False