本文整理汇总了Python中Task.Task._add_child方法的典型用法代码示例。如果您正苦于以下问题：Python Task._add_child方法的具体用法？Python Task._add_child怎么用？Python Task._add_child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Task.Task的用法示例。
在下文中一共展示了Task._add_child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: Workflow
# 需要导入模块: from Task import Task [as 别名]
# 或者: from Task.Task import _add_child [as 别名]
class Workflow(object):
"""
The engine that executes a workflow.
It is a essentially a facility for managing all branches.
A Workflow is also the place that holds the attributes of a running workflow.
"""
def __init__(self, workflow_spec, deserializing=False, **kwargs):
"""
Constructor.
:param deserializing: set to true when deserializing to avoid
generating tasks twice (and associated problems with multiple
hierarchies of tasks)
"""
assert workflow_spec is not None
LOG.debug("__init__ Workflow instance: %s" % self.__str__())
self.spec = workflow_spec
self.task_id_assigner = TaskIdAssigner()
self.attributes = {}
self.outer_workflow = kwargs.get('parent', self)
self.locks = {}
self.last_task = None
if deserializing:
assert 'Root' in workflow_spec.task_specs
root = workflow_spec.task_specs['Root'] # Probably deserialized
else:
if 'Root' in workflow_spec.task_specs:
root = workflow_spec.task_specs['Root']
else:
root = specs.Simple(workflow_spec, 'Root')
self.task_tree = Task(self, root)
self.success = True
self.debug = False
# Events.
self.completed_event = Event()
# Prevent the root task from being executed.
self.task_tree.state = Task.COMPLETED
start = self.task_tree._add_child(self.spec.start, state=Task.FUTURE)
self.spec.start._predict(start)
if 'parent' not in kwargs:
start.task_spec._update_state(start)
#start.dump()
def is_completed(self):
"""
Returns True if the entire Workflow is completed, False otherwise.
"""
mask = Task.NOT_FINISHED_MASK
iter = Task.Iterator(self.task_tree, mask)
try:
iter.next()
except:
# No waiting tasks found.
return True
return False
def _get_waiting_tasks(self):
waiting = Task.Iterator(self.task_tree, Task.WAITING)
return [w for w in waiting]
def _task_completed_notify(self, task):
if task.get_name() == 'End':
self.attributes.update(task.get_attributes())
# Update the state of every WAITING task.
for thetask in self._get_waiting_tasks():
thetask.task_spec._update_state(thetask)
if self.completed_event.n_subscribers() == 0:
# Since is_completed() is expensive it makes sense to bail
# out if calling it is not necessary.
return
if self.is_completed():
self.completed_event(self)
def _get_mutex(self, name):
if name not in self.locks:
self.locks[name] = mutex()
return self.locks[name]
def get_attribute(self, name, default=None):
"""
Returns the value of the attribute with the given name, or the given
default value if the attribute does not exist.
:type name: string
:param name: An attribute name.
:type default: obj
:param default: Return this value if the attribute does not exist.
:rtype: obj
:returns: The value of the attribute.
"""
return self.attributes.get(name, default)
def cancel(self, success=False):
"""
Cancels all open tasks in the workflow.
#.........这里部分代码省略.........
示例2: Job
# 需要导入模块: from Task import Task [as 别名]
# 或者: from Task.Task import _add_child [as 别名]
class Job(Trackable):
"""
The engine that executes a workflow.
It is a essentially a facility for managing all branches.
A Job is also the place that holds the attributes of a running workflow.
"""
def __init__(self, workflow, **kwargs):
"""
Constructor.
"""
Trackable.__init__(self)
assert workflow is not None
self.workflow = workflow
self.attributes = {}
self.outer_job = kwargs.get('parent', self)
self.locks = {}
self.last_node = None
self.task_tree = Task(self, Tasks.Simple(workflow, 'Root'))
self.success = True
self.debug = False
# Prevent the root node from being executed.
self.task_tree.state = Task.COMPLETED
start = self.task_tree._add_child(workflow.start)
workflow.start._predict(start)
if not kwargs.has_key('parent'):
start.spec._update_state(start)
#start.dump()
def is_completed(self):
"""
Returns True if the entire Job is completed, False otherwise.
"""
mask = Task.NOT_FINISHED_MASK
iter = Task.Iterator(self.task_tree, mask)
try:
next = iter.next()
except:
# No waiting nodes found.
return True
return False
def _get_waiting_tasks(self):
waiting = Task.Iterator(self.task_tree, Task.WAITING)
return [w for w in waiting]
def _task_completed_notify(self, task):
if task.get_name() == 'End':
self.attributes.update(task.get_attributes())
# Update the state of every WAITING node.
for node in self._get_waiting_tasks():
node.spec._update_state(node)
if self.signal_subscribers('completed') == 0:
# Since is_completed() is expensive it makes sense to bail
# out if calling it is not necessary.
return
if self.is_completed():
self.signal_emit('completed', self)
def _get_mutex(self, name):
if not self.locks.has_key(name):
self.locks[name] = mutex()
return self.locks[name]
def get_attribute(self, name, default = None):
"""
Returns the value of the attribute with the given name, or the given
default value if the attribute does not exist.
@type name: string
@param name: An attribute name.
@type default: obj
@param default: Return this value if the attribute does not exist.
@rtype: obj
@return: The value of the attribute.
"""
return self.attributes.get(name, default)
def cancel(self, success = False):
"""
Cancels all open tasks in the job.
@type success: boolean
@param success: Whether the Job should be marked as successfully
completed.
"""
self.success = success
cancel = []
mask = Task.NOT_FINISHED_MASK
for node in Task.Iterator(self.task_tree, mask):
cancel.append(node)
for node in cancel:
#.........这里部分代码省略.........