本文整理汇总了Python中system.process_context.ProcessContext.run_on_active_timeperiod方法的典型用法代码示例。如果您正苦于以下问题：Python ProcessContext.run_on_active_timeperiod方法的具体用法？Python ProcessContext.run_on_active_timeperiod怎么用？Python ProcessContext.run_on_active_timeperiod使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类system.process_context.ProcessContext的用法示例。
在下文中一共展示了ProcessContext.run_on_active_timeperiod方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: entries
# 需要导入模块: from system.process_context import ProcessContext [as 别名]
# 或者: from system.process_context.ProcessContext import run_on_active_timeperiod [as 别名]
def entries(self):
list_of_trees = []
try:
sorter_keys = sorted(context.timetable_context.keys())
for tree_name in sorter_keys:
tree_obj = self.mbean.timetable.trees[tree_name]
tree_row = list()
tree_row.append(tree_name) # index 0
tree_row.append(tree_obj.mx_page) # index 1
tree_row.append(tree_obj.mx_name) # index 2
processes = dict() # index 3
context_entry = context.timetable_context[tree_name]
for process_name in context_entry.enclosed_processes:
process_details = [process_name, # index x0
ProcessContext.get_time_qualifier(process_name), # index x1
self._state_machine_name(process_name), # index x2
ProcessContext.get_process_type(process_name), # index x3
ProcessContext.run_on_active_timeperiod(process_name), # index x4
context_entry.dependent_on, # index x5
self._list_of_dependant_trees(tree_obj)] # index x6
processes[process_name] = process_details
tree_row.append(processes)
list_of_trees.append(tree_row)
except Exception as e:
self.logger.error('MX Exception %s' % str(e), exc_info=True)
return list_of_trees示例2: fire_managed_worker
# 需要导入模块: from system.process_context import ProcessContext [as 别名]
# 或者: from system.process_context.ProcessContext import run_on_active_timeperiod [as 别名]
def fire_managed_worker(self, *args):
"""requests vertical aggregator (hourly site, daily variant, etc) to start up"""
try:
process_name = args[0]
scheduler_entry_obj = args[1]
self.logger.info('%s {' % process_name)
timetable_record = self.timetable.get_next_job_record(process_name)
pipeline = self.pipelines[scheduler_entry_obj.state_machine_name]
run_on_active_timeperiod = ProcessContext.run_on_active_timeperiod(scheduler_entry_obj.process_name)
if not run_on_active_timeperiod:
time_qualifier = ProcessContext.get_time_qualifier(process_name)
incremented_timeperiod = time_helper.increment_timeperiod(time_qualifier, timetable_record.timeperiod)
dt_record_timestamp = time_helper.synergy_to_datetime(time_qualifier, incremented_timeperiod)
dt_record_timestamp += timedelta(minutes=LAG_5_MINUTES)
if datetime.utcnow() <= dt_record_timestamp:
self.logger.info('Timetable record %s for timeperiod %s will not be triggered until %s.'
% (timetable_record.document['_id'],
timetable_record.timeperiod,
dt_record_timestamp.strftime('%Y-%m-%d %H:%M:%S')))
return
process_type = ProcessContext.get_process_type(scheduler_entry_obj.process_name)
if process_type == TYPE_BLOCKING_DEPENDENCIES:
pipeline.manage_pipeline_with_blocking_dependencies(process_name, timetable_record)
elif process_type == TYPE_BLOCKING_CHILDREN:
pipeline.manage_pipeline_with_blocking_children(process_name, timetable_record)
elif process_type == TYPE_MANAGED:
pipeline.manage_pipeline_for_process(process_name, timetable_record)
except (AMQPError, IOError) as e:
self.logger.error('AMQPError: %s' % str(e), exc_info=True)
self.publishers.reset_all(suppress_logging=True)
except Exception as e:
self.logger.error('Exception: %s' % str(e), exc_info=True)
finally:
self.logger.info('}')