def main():
print('-----------------------', datetime.datetime.now())
sw = {
'w': lambda: TimeUtil.get_time_weeks(FLAGS.time_interval),
'd': lambda: TimeUtil.get_time_days(FLAGS.time_interval),
'h': lambda: TimeUtil.get_time_hours(FLAGS.time_interval),
'm': lambda: TimeUtil.get_time_minutes(FLAGS.time_interval, TIME_END),
's': lambda: TimeUtil.get_time_seconds(FLAGS.time_interval),
}
if FLAGS.time_interval > 0:
global TIME_BEGIN
global TIME_END
TIME_BEGIN, TIME_END = sw[FLAGS.time_format]()
print(TIME_BEGIN, TIME_BEGIN - FLAGS.time_period * 1000)
hadoop_util.get_cluster_information()
hadoop_util.get_commonjobs_information()
response = requests.get("http://127.0.0.1:5001/update/all")
if response.status_code == 200:
print("success request http://127.0.0.1:5001/update/all")
# response = requests.get('http://127.0.0.1:5002/train_lstm')
# if response.status_code == 200:
# print("success request http://127.0.0.1:5002/train_lstm")
# else:
# print("fail request http://127.0.0.1:5002/train_lstm")
else:
print("fail request http://127.0.0.1:5001/update/all")
def main():
query_parameters = {"state": FLAGS.state}
sw = {
'w': lambda: TimeUtil.get_time_weeks(FLAGS.time_interval),
'd': lambda: TimeUtil.get_time_days(FLAGS.time_interval),
'h': lambda: TimeUtil.get_time_hours(FLAGS.time_interval),
'm': lambda: TimeUtil.get_time_minutes(FLAGS.time_interval),
's': lambda: TimeUtil.get_time_seconds(FLAGS.time_interval),
}
if FLAGS.time_interval > 0:
finished_time_begin, finished_time_end = sw[FLAGS.time_format]()
query_parameters["finishedTimeBegin"] = finished_time_begin
query_parameters["finishedTimeEnd"] = finished_time_end
thread_main(query_parameters)
def main():
print('-----------------------', datetime.datetime.now())
sw = {
'w': lambda: TimeUtil.get_time_weeks(FLAGS.time_interval),
'd': lambda: TimeUtil.get_time_days(FLAGS.time_interval),
'h': lambda: TimeUtil.get_time_hours(FLAGS.time_interval),
'm': lambda: TimeUtil.get_time_minutes(FLAGS.time_interval, TIME_END),
's': lambda: TimeUtil.get_time_seconds(FLAGS.time_interval),
}
if FLAGS.time_interval > 0:
global TIME_BEGIN
global TIME_END
TIME_BEGIN, TIME_END = sw[FLAGS.time_format]()
print(TIME_BEGIN, TIME_BEGIN - FLAGS.time_period * 1000)
hadoop_util.get_cluster_information()
hadoop_util.get_commonjobs_information()
