本文整理汇总了Python中pinball.ui.data_builder.DataBuilder.get_schedules方法的典型用法代码示例。如果您正苦于以下问题：Python DataBuilder.get_schedules方法的具体用法？Python DataBuilder.get_schedules怎么用？Python DataBuilder.get_schedules使用的例子？那么, 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pinball.ui.data_builder.DataBuilder的用法示例。
在下文中一共展示了DataBuilder.get_schedules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: _compute_workflow
# 需要导入模块: from pinball.ui.data_builder import DataBuilder [as 别名]
# 或者: from pinball.ui.data_builder.DataBuilder import get_schedules [as 别名]
def _compute_workflow(dbstore):
"""Cache thread's target callable that computes the workflow.
This runnable is called my thread's run() method when thread
starts. It will compute workflows data, serialize it, and store it
in _WORKFLOW_JSON. This computation will infinitely
repeat itself, constantly updating the _WORKFLOW_JSON until pinball_ui
server stops.
Args:
dbstore: The store to retrieve runs status.
"""
global _WORKFLOWS_JSON
data_builder = DataBuilder(dbstore, use_cache=True)
while True:
try:
LOG.info("Workflow data computation starting.")
workflows_data = data_builder.get_workflows()
schedules_data = data_builder.get_schedules()
_WORKFLOWS_JSON = _serialize(workflows_data, schedules_data)
LOG.info("Workflow data computation complete.")
# TODO(mao): Tune this parameter depending on future
# pinball user experience.
# TODO(mao): Make this computation run at scheduled time intervals
# and cancel the next execution if the previous job hasn't
# finished.
time.sleep(60 * 20)
except Exception as e:
LOG.exception(e)示例2: schedules
# 需要导入模块: from pinball.ui.data_builder import DataBuilder [as 别名]
# 或者: from pinball.ui.data_builder.DataBuilder import get_schedules [as 别名]
def schedules(_):
try:
data_builder = DataBuilder(DbStore())
schedules_data = data_builder.get_schedules()
schedules_json = _serialize(schedules_data)
except:
LOG.exception('')
return HttpResponseServerError(traceback.format_exc())
else:
return HttpResponse(schedules_json, mimetype='application/json')