本文整理匯總了Python中pinball.ui.data_builder.DataBuilder.get_schedules方法的典型用法代碼示例。如果您正苦於以下問題：Python DataBuilder.get_schedules方法的具體用法？Python DataBuilder.get_schedules怎麽用？Python DataBuilder.get_schedules使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類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個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _compute_workflow
# 需要導入模塊: from pinball.ui.data_builder import DataBuilder [as 別名]
# 或者: from pinball.ui.data_builder.DataBuilder import get_schedules [as 別名]
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
# 需要導入模塊: from pinball.ui.data_builder import DataBuilder [as 別名]
# 或者: from pinball.ui.data_builder.DataBuilder import get_schedules [as 別名]
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')