def node(self):
if isinstance(self._data_desc, DataProcess):
if self._data_desc.outcomes is not None and self._data_desc.outcomes.node:
# that means that a data creation process has been registered and it has been
# carried out
return self._data_desc.outcomes.node
elif self._data_desc.seed is not None:
if isinstance(self._data_desc.seed, str):
node = self._dm.get_data(self._data_desc.seed)
self._data_desc.seed = Data(node)
return node
elif isinstance(self._data_desc.seed, Data):
return self._data_desc.seed.node # if data is raw, .node is None
else:
return None
else:
return None
elif self._node_name is None:
# that means that a data creation process has been registered and will be
# carried out by the framework through a callback
return None
else:
if self._node is None:
self._node = self._dm.get_data(self._node_name)
return self._node
def __init__(self, data_desc=None, final=False, fbk_timeout=None, fbk_mode=None,
set_periodic=None, clear_periodic=None, step_desc=None):
Step.__init__(self, data_desc=Data(''), final=final,
fbk_timeout=fbk_timeout, fbk_mode=fbk_mode,
set_periodic=set_periodic, clear_periodic=clear_periodic,
step_desc=step_desc)
self.make_blocked()
def generate_data(self, dm, monitor, target):
self.pdf.set_current_conf('ALT', root_regexp='PDF.*leaf_0-0$')
self.pdf.unfreeze()
return Data(self.pdf)
def generate_data(self, dm, monitor, target):
return Data(dm.get_data('PDF_xref_loop'))
def get_data(self):
if self.node is not None:
d = Data(self.node)
else:
# in this case a data creation process is provided to the framework through the
# callback HOOK.before_sending
d = Data('')
if self._step_desc is None:
if isinstance(self._data_desc, DataProcess):
step_desc = 'generate ' + repr(self._data_desc)
elif isinstance(self._data_desc, Data):
step_desc = 'use provided Data(...)'
else:
assert isinstance(self._data_desc, str)
d.add_info("instantiate a node '{:s}' from the model".format(
self._node_name))
if self._periodic_data is not None:
p_sz = len(self._periodic_data)
d.add_info("set {:d} periodic{:s}".format(
p_sz, 's' if p_sz > 1 else ''))
if self._periodic_data_to_remove is not None:
p_sz = len(self._periodic_data_to_remove)
d.add_info("clear {:d} periodic{:s}".format(
p_sz, 's' if p_sz > 1 else ''))
else:
d.add_info(self._step_desc)
if self.is_blocked():
d.make_blocked()
if self._feedback_timeout is not None:
d.feedback_timeout = self._feedback_timeout
return d
def get_data(self):
if self.node is not None:
d = Data(self.node)
else:
# in this case a data creation process is provided to the framework through the
# callback HOOK.before_sending
d = Data('')
if self._step_desc is None:
if isinstance(self._data_desc, DataProcess):
step_desc = 'generate ' + repr(self._data_desc)
elif isinstance(self._data_desc, Data):
step_desc = 'use provided Data(...)'
else:
assert isinstance(self._data_desc, str)
d.add_info("instantiate a node '{:s}' from the model".format(self._node_name))
if self._periodic_data is not None:
p_sz = len(self._periodic_data)
d.add_info("set {:d} periodic{:s}".format(p_sz, 's' if p_sz > 1 else ''))
if self._periodic_data_to_remove is not None:
p_sz = len(self._periodic_data_to_remove)
d.add_info("clear {:d} periodic{:s}".format(p_sz, 's' if p_sz > 1 else ''))
else:
d.add_info(self._step_desc)
if self.is_blocked():
d.make_blocked()
if self._feedback_timeout is not None:
d.feedback_timeout = self._feedback_timeout
return d