def checkData(self, data):
if data not in (0x00, 0x01):
try:
raise DPTXlatorValueError("data %s not in (0x00, 0x01)" %
hex(data))
except TypeError:
raise DPTXlatorValueError("data not in (0x00, 0x01)")
def __init__(self, dptId, dptXlatorClass, desc=""):
""" Creates a new Datapoint Type main type to DPT mapper
@param dptId: Datapoint Type ID
This id must be the generic form ("1.xxx")
@type dptId: str or L{DPTID}
@param dptXlatorClass: Datapoint Type class
@type dptXlatorClass: class
@param desc: description of the Datapoint Type main type mapper
@type desc: str
@raise DPTXlatorValueError:
"""
super(DPTMainTypeMapper, self).__init__()
if not issubclass(dptXlatorClass, DPTXlatorBase):
raise DPTXlatorValueError(
"dptXlatorClass %s not a sub-class of DPT" %
repr(dptXlatorClass))
if not isinstance(dptId, DPTID):
dptId = DPTID(dptId)
self._dptId = dptId
self._dptXlatorClass = dptXlatorClass
self._desc = desc
def checkValue(self, value):
for index in range(4):
if not self._dpt.limits[0][index] <= value[
index] <= self._dpt.limits[1][index]:
raise DPTXlatorValueError("value not in range %s" %
repr(self._dpt.limits))
def checkData(self, data):
if not 0x000000 <= data <= 0xffffff:
raise DPTXlatorValueError("data %s not in (0x000000, 0xffffff)" %
hex(data))
def checkValue(self, value):
if self.dpt is self.DPT_Generic:
if not self._dpt.limits[0] <= value <= self._dpt.limits[1]:
raise DPTXlatorValueError("value not in range %s" % repr(self._dpt.limits))
elif value not in self._dpt.limits:
raise DPTXlatorValueError("value not in %r" % repr(self._dpt.limits))
def checkValue(self, value):
if value not in self._dpt.limits and value not in self.DPT_Generic.limits:
raise DPTXlatorValueError("value %s not in %s" %
(value, str(self._dpt.limits)))
def checkValue(self, value):
if not self._dpt.limits[0] <= value <= self._dpt.limits[1]:
raise DPTXlatorValueError("Value not in range %s" %
repr(self._dpt.limits))