def parse(self, data, clock):
if not data: # nothing received or nothing in the history -> nothing to parse
return None
if self.lenNames > len(data):
raise Exception("CSVParser: not enough data fields")
result = JOb()
sd = self.wrapper.getSensorDescription()
result.fields = sd.fields
# print data
for i in range(0, self.lenNames):
n = self.names[i]
if n in sd.fields:
result[n] = JOb()
result[n].propertyName = sd.field[n].propertyName
result[n].propertyURI = sd.field[n].propertyURI
if "unit" in sd.field[n]:
result[n].unit = sd.field[n].unit
result[n].observationSamplingTime = clock.timeAsString()
result[n].sensorID = sd.fullSensorID
if self.timestampcell >= 0:
result[n].observationResultTime = sd.parseTimestamp(data[self.timestampcell]).strftime(AbstractClock.format)
else:
result[n].observationResultTime = result[n].observationSamplingTime
if sd.field[n].dataType == "datetime.datetime":
result[n].value = dt.datetime.strptime(data[i], sd.field[n].format)
else:
result[n].value = str2Type(u(data[i]), sd.field[n].dataType)
return result
def parse(self, data, clock):
if not data: # nothing received or nothing in the history -> nothing to parse
return None
if isinstance(data, str) or isinstance(data, unicode):
data = JOb(u(data))
result = JOb()
sd = self.wrapper.getSensorDescription()
result.fields = sd.fields
for fieldname in sd.fields:
result[fieldname] = JOb()
result[fieldname].propertyName = sd.field[fieldname].propertyName
result[fieldname].propertyURI = sd.field[fieldname].propertyURI
if "unit" in sd.field[fieldname]:
result[fieldname].unit = sd.field[fieldname].unit
result[fieldname].sensorID = sd.fullSensorID
result[fieldname].observationSamplingTime = clock.timeAsString()
if self.timestampfield and self.timestampfield in data:
result[fieldname].observationResultTime = sd.parseTimestamp(data[self.timestampfield]).strftime(
AbstractClock.format
)
else:
result[fieldname].observationResultTime = result[fieldname].observationSamplingTime
if sd.field[fieldname].dataType == "datetime.datetime":
if sd.field[fieldname].format.startswith("UNIX"):
result[fieldname].value = sd.parseTimestamp(data[fieldname]) if fieldname in data else None
else:
result[fieldname].value = (
dt.datetime.strptime(data[fieldname], sd.field[fieldname].format) if fieldname in data else None
)
else:
result[fieldname].value = (
str2Type(u(data[fieldname]), sd.field[fieldname].dataType) if fieldname in data else None
)
return result
