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 getQualityValues(self, jOb, name, avgQualityType):
q = JSONObject()
q.absoluteValues = self.qList.get(avgQualityType).absoluteBuffer.items
q.ratedValues = self.qList.get(avgQualityType).ratedBuffer.items
q.name = name
q.unit = self.unit
jOb.values.append(q)
def getAvgQualities(self, jOb, name):
for key in self.qList:
q = JSONObject()
q.absoluteValue = self.qList.get(key).getAbsoluteAverage()
q.absoluteValueMin = self.qList.get(key).getAbsoluteMin()
q.absoluteValueMax = self.qList.get(key).getAbsoluteMax()
q.ratedValue = self.qList.get(key).getRatedAverage()
q.ratedValueMin = self.qList.get(key).getRatedMin()
q.ratedValueMax = self.qList.get(key).getRatedMax()
q.name = name
q.unit = self.unit
jOb[key].values.append(q)
def getLastQoI(self, types=None, avg=None, minimum=None, maximum=None):
qoiData = JSONObject()
for metric in self.reputationSystem.metrics:
q = JSONObject()
currentValues = JSONObject()
currentValues.absoluteValue = metric.absoluteValue
currentValues.ratedValue = metric.ratedValue
q.unit = metric.unit
qoiData[metric.name] = q
q.CURRENT = currentValues
if types:
self.reputationSystem.avgQoIManager.getValues(q, metric.name, types, avg, minimum, maximum)
return qoiData
def update(self, data):
self.updateDescription()
# special case when no fields are in data
# (fault recovery is not ready yet)
if len(data.fields) == 0:
self.rewardAndPunishment.update(False)
self.absoluteValue = float("inf")
self.ratedValue = self.rewardAndPunishment.value()
return
ts = self.repsys.timestamp
self.updatecounter += 1
samplingTime = datetime.datetime.strptime(data[data.fields[0]].observationSamplingTime,
AbstractClock.parserformat)
age = (samplingTime - ts).total_seconds()
# print "age:", age, "ts", ts, "sampling", samplingTime
if self.lastUpdate == None:
self.lastUpdate = ts
self.rewardAndPunishment.update(True)
self.absoluteValue = age
self.ratedValue = 1.0
self.min = age
self.mean = age
else:
# delta = ts - self.lastUpdate
self.lastUpdate = ts
if data.recovered:
self.rewardAndPunishment.update(False)
else:
self.rewardAndPunishment.update(age <= self.annotatedAge)
# delay = delta.days * 86400 + delta.seconds
self.absoluteValue = age
self.ratedValue = self.rewardAndPunishment.value()
age = float(age)
self.min = min(self.min, age)
self.mean = ((self.updatecounter - 1) * self.mean) / self.updatecounter + age / self.updatecounter
ageReturn = JSONObject()
ageReturn.absoluteValue = self.absoluteValue
ageReturn.ratedValue = self.ratedValue
ageReturn.unit = self.unit
return (self.name, ageReturn)
def update(self, data):
self.updateDescription()
# special case when no fields are in data
# (fault recovery is not ready yet)
if len(data.fields) == 0:
self.rewardAndPunishment.update(False)
self.absoluteValue = float("inf")
self.ratedValue = self.rewardAndPunishment.value()
return
ts = self.repsys.timestamp
self.updatecounter += 1
latency = data.latency
annotatedLatency = self.repsys.description.maxLatency
if self.lastUpdate is None:
self.lastUpdate = ts
self.rewardAndPunishment.update(True)
self.absoluteValue = latency
self.ratedValue = 1.0
self.min = latency
self.mean = latency
else:
self.lastUpdate = ts
if data.recovered:
self.rewardAndPunishment.update(False)
else:
self.rewardAndPunishment.update(annotatedLatency > latency)
self.absoluteValue = latency
self.ratedValue = self.rewardAndPunishment.value()
self.min = min(self.min, latency)
self.mean = ((self.updatecounter - 1) * self.mean) / self.updatecounter + latency / self.updatecounter
lat = JSONObject()
lat.absoluteValue = self.absoluteValue
lat.ratedValue = self.ratedValue
lat.unit = self.unit
return (self.name, lat)
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
def update(self, data):
self.updatecounter += 1
# special case when no fields are in data
# (fault recovery is not ready yet)
if len(data.fields) == 0:
self.rewardAndPunishment.update(False)
self.absoluteValue = float("inf")
self.ratedValue = self.rewardAndPunishment.value()
return
wrongFieldList = []
for field in data.fields:
if field not in data:
wrongFieldList.append(field)
continue
dataTypeStr = self.repsys.description.field[field].dataType
dataType = utils.getType(dataTypeStr)
minValue, maxValue = self.getMinMaxValue(field, data)
value = data[field].value
# print "field:", field, "value:", value, "min:", minValue, "max:", maxValue, "dataType:", dataTypeStr, dataType, "value type:", type(value)
if minValue and maxValue:
if dataTypeStr == "datetime.datetime":
minValue = datetime.datetime.strptime(minValue, AbstractClock.parserformat)
maxValue = datetime.datetime.strptime(maxValue, AbstractClock.parserformat)
else:
maxValue = dataType(maxValue)
minValue = dataType(minValue)
# everything might be a string => first check for type, then try to cast, afterwards check min and max
wrongValue = False
if not isinstance(value, dataType): # type(value) is not dataType:
try:
# special handling for datetime as format is needed
if dataTypeStr == "datetime.datetime":
value = datetime.datetime.strptime(value, self.repsys.description.field[field].format)
else:
value = dataType(value)
except ValueError:
wrongFieldList.append(field)
wrongValue = True
if not wrongValue:
# now check if value is within min max interval
if minValue and minValue is not "":
if value < minValue:
wrongFieldList.append(field)
elif maxValue and maxValue is not "":
if value > maxValue:
wrongFieldList.append(field)
# print "Correctness for", self.repsys.description.fullSensorID, len(wrongFieldList), value, minValue, maxValue
nrWrongFields = len(wrongFieldList)
if nrWrongFields > 0:
L.d("Correctness wrong fields:", nrWrongFields, "(", ",".join(wrongFieldList), ")")
if data.recovered or (nrWrongFields >= 1):
self.rewardAndPunishment.update(False)
else:
self.rewardAndPunishment.update(True)
self.ratedValue = self.rewardAndPunishment.value()
self.absoluteValue = 1 - nrWrongFields / len(data.fields)
self.min = min(self.min, self.absoluteValue)
self.mean = ((self.updatecounter - 1) * self.mean) / self.updatecounter + float(
self.absoluteValue) / self.updatecounter
correctness = JSONObject()
correctness.wrongFields = wrongFieldList
correctness.absoluteValue = self.absoluteValue
correctness.ratedValue = self.ratedValue
correctness.unit = self.unit
# print "correctness:", self.ratedValue, self.absoluteValue
return (self.name, correctness)
def update(self, data):
# special case when no fields are in data
# (fault recovery is not ready yet)
if len(data.fields) == 0:
self.rewardAndPunishment.update(False)
self.absoluteValue = float("inf")
self.ratedValue = self.rewardAndPunishment.value()
return
# look for expected fields in sensor description, look only for non optional fields
fields = self.repsys.description.fields
fields = [x for x in fields if not self.repsys.description.field[x].optional]
receivedFields = data.fields
# check if expected and received identical, how to handle received fields with no values?
nrOfMissingFields = 0
missingFields = set()
if set(fields).difference(set(receivedFields)):
# lists are different
missingFields = set(fields).difference(set(receivedFields))
nrOfMissingFields = len(missingFields)
# now go through all fields and check for NULL, NA,...
nrOfWrongFields = 0
wrongFields = set()
wrongValues = ['None', 'Null', '', 'NA'] #TODO make the list of wrong values configurable
for field in data.fields:
if field in data:
value = data[field].value
if value is None or value in wrongValues:
nrOfWrongFields += 1
wrongFields.add(field)
else:
nrOfWrongFields += 1
wrongFields.add(field)
if nrOfMissingFields > 0:
L.d("Completeness missing fields:", nrOfMissingFields, "(", ",".join(missingFields), ")")
if nrOfWrongFields > 0:
L.d("Completeness wrong fields:", nrOfWrongFields, "(", ",".join(wrongFields), ")")
length = len(self.repsys.description.fields)
currentLength = length - nrOfMissingFields - nrOfWrongFields
self.updatecounter += 1
if not self.goal:
self.goal = length
self.min = float(length)
self.mean = float(length)
# return (length, self.rewardAndPunishment.value())
else:
self.min = min(self.min, currentLength)
self.mean = ((self.updatecounter - 1) * self.mean) / self.updatecounter + float(
currentLength) / self.updatecounter
if data.recovered:
self.rewardAndPunishment.update(False)
else:
self.rewardAndPunishment.update(self.goal == currentLength)
self.absoluteValue = currentLength
self.ratedValue = self.rewardAndPunishment.value()
completeness = JSONObject()
completeness.missingFields = list(missingFields | wrongFields)
completeness.absoluteValue = self.absoluteValue
completeness.ratedValue = self.ratedValue
completeness.unit = self.unit
# print completeness.dumps()
# print "completeness:", self.name, completeness
# print (self.name, missingFields)
return (self.name, completeness)
def update(self):
from virtualisation.resourcemanagement.resourcemanagement import ResourceManagement
# print "time", self.clock.now()
latStart = datetime.now()
L.d("processing:", self.getSensorDescription().sensorID)
# L.d(self.clock.now())
if self.replaymode:
self.stats.startMeasurement("Update_replay")
# self.clock.pause()
if self.historyreader:
L.d2("abstractwrapper get data")
self.stats.startMeasurement("Update_replay.Historyreader")
data_raw = self.historyreader.tick(self.clock)
self.stats.stopMeasurement("Update_replay.Historyreader")
L.d2("abstractwrapper received data:", str(data_raw))
if data_raw:
data_list = [data_raw] if not self.historyreader.multiple_observations else data_raw
for data in data_list:
try:
L.d2("abstractwrapper parse data")
# print "data to parse", data
self.stats.startMeasurement("Update_replay.Historyparser")
parsed = self.historyparser.parse(data, self.clock)
self.stats.stopMeasurement("Update_replay.Historyparser")
L.d2("abstractwrapper parsed data:", str(parsed))
del data
if parsed:
self.stats.startMeasurement("Update_replay.Preparation")
ObservationIDGenerator.addObservationIDToFields(parsed)
parsed.producedInReplayMode = True
parsed.recovered = False
parsed.latency = (datetime.now() - latStart).total_seconds()
self.stats.stopMeasurement("Update_replay.Preparation")
# QoI Start
quality = None
if self.qoiSystem:
L.d2("abstractwrapper get quality")
self.stats.startMeasurement("Update_replay.Quality")
quality = self.qoiSystem.addData(self.getSensorDescription(), parsed, self.clock)
self.stats.stopMeasurement("Update_replay.Quality")
L.d2("abstractwrapper quality:", quality)
if self.faultRecoveryActive:
L.d2("abstractwrapper update fault recovery")
self.stats.startMeasurement("Update_replay.FaultRecoveryUpdate")
self.updateFaultRecoveries(parsed, quality)
self.stats.stopMeasurement("Update_replay.FaultRecoveryUpdate")
L.d2("abstractwrapper fault recovery updated")
self.stats.startMeasurement("Update_replay.Receiver")
for r in self.receiver:
L.d2("abstractwrapper start receiver", r)
r.receive(parsed, self.getSensorDescription(), self.clock, quality)
L.d2("abstractwrapper receiver", r, "finished")
self.stats.stopMeasurement("Update_replay.Receiver")
except Exception as e:
L.e("Error while updating sensor", self.getSensorDescription().fullSensorID, e)
finally:
if ResourceManagement.args.gentle:
self.clock.sleep()
else:
L.d("there is no data, ask fault recovery1")
# L.i(self.getSensorDescription().sensorID)
# L.i(self.clock.now())
try:
self.stats.startMeasurement("Update_replay.Recovery")
data = JSONObject()
data.latency = 0
data.producedInReplayMode = True
data.recovered = True
data.fields = []
for n in self.getSensorDescription().fields:
if n in self.faultRecoveries and self.faultRecoveries[n].isReady():
data.fields.append(n)
data[n] = JSONObject()
# at this point the dataType is in FAULT_RECOVERY_SUPPORTED_DATATYPES and we can safely use cast
data[n].value = self.faultRecoveryCast(
self.faultRecoveries[n].getEstimation(),
self.getSensorDescription().field[n].dataType,
)
data[n].propertyName = self.getSensorDescription().field[n].propertyName
data[n].propertyURI = self.getSensorDescription().field[n].propertyURI
if "unit" in self.getSensorDescription().field[n]:
data[n].unit = self.getSensorDescription().field[n].unit
data[n].sensorID = self.getSensorDescription().fullSensorID
data[n].observationSamplingTime = self.clock.timeAsString()
data[n].observationResultTime = data[n].observationSamplingTime
self.stats.stopMeasurement("Update_replay.Recovery")
self.stats.startMeasurement("Update_replay.ObservationIDGenerator")
ObservationIDGenerator.addObservationIDToFields(data)
self.stats.stopMeasurement("Update_replay.ObservationIDGenerator")
quality = None
if self.qoiSystem:
self.stats.startMeasurement("Update_replay.Quality")
quality = self.qoiSystem.addData(self.getSensorDescription(), data, self.clock)
self.stats.stopMeasurement("Update_replay.Quality")
self.stats.startMeasurement("Update_replay.Receiver")
for r in self.receiver:
r.receive(data, self.getSensorDescription(), self.clock, quality)
self.stats.stopMeasurement("Update_replay.Receiver")
except Exception as e:
L.e("Error while updating sensor", self.getSensorDescription().fullSensorID, e)
finally:
pass
# if ResourceManagement.args.gentle:
# self.clock.sleep()
else:
pass # no history reader - nothing to do
self.stats.stopMeasurement("Update_replay")
else: # no replay mode
self.stats.startMeasurement("Update_live")
if self.connection:
try:
self.stats.startMeasurement("Update_live.Connection")
data_raw = self.connection.next()
self.stats.stopMeasurement("Update_live.Connection")
if data_raw:
data_list = [data_raw] if not self.connection.multiple_observations else data_raw
for data in data_list:
self.stats.startMeasurement("Update_live.Parser")
parsed = self.parser.parse(data, self.clock)
self.stats.stopMeasurement("Update_live.Parser")
if parsed:
self.stats.startMeasurement("Update_live.Preparation")
ObservationIDGenerator.addObservationIDToFields(parsed)
parsed.producedInReplayMode = False
parsed.recovered = False
parsed.latency = (datetime.now() - latStart).total_seconds()
self.stats.stopMeasurement("Update_live.Preparation")
# QoI Start
quality = None
if self.qoiSystem:
# TODO update the timestamp
self.stats.startMeasurement("Update_live.Quality")
quality = self.qoiSystem.addData(self.getSensorDescription(), parsed, self.clock)
self.stats.stopMeasurement("Update_live.Quality")
if self.faultRecoveryActive:
L.d2("abstractwrapper update fault recovery")
self.stats.startMeasurement("Update_live.FaultRecoveryUpdate")
self.updateFaultRecoveries(parsed, quality)
self.stats.stopMeasurement("Update_live.FaultRecoveryUpdate")
L.d2("abstractwrapper fault recovery updated")
self.stats.startMeasurement("Update_live.Receiver")
for r in self.receiver:
r.receive(parsed, self.getSensorDescription(), self.clock, quality)
self.stats.stopMeasurement("Update_live.Receiver")
else:
# fault recovery
L.i("there is no data, ask fault recovery2")
try:
self.stats.startMeasurement("Update_live.Recovery")
data = JSONObject()
data.latency = 0
data.recovered = True
data.fields = []
for n in self.getSensorDescription().fields:
if n in self.faultRecoveries and self.faultRecoveries[n].isReady():
data.fields.append(n)
data[n] = JSONObject()
data[n].value = self.faultRecoveryCast(
self.faultRecoveries[n].getEstimation(),
self.getSensorDescription().field[n].dataType,
)
data[n].propertyName = self.getSensorDescription().field[n].propertyName
data[n].propertyURI = self.getSensorDescription().field[n].propertyURI
if "unit" in self.getSensorDescription().field[n]:
data[n].unit = self.getSensorDescription().field[n].unit
data[n].sensorID = self.getSensorDescription().fullSensorID
data[n].observationSamplingTime = self.clock.timeAsString()
data[n].observationResultTime = data[n].observationSamplingTime
self.stats.stopMeasurement("Update_live.Recovery")
ObservationIDGenerator.addObservationIDToFields(data)
quality = None
if self.qoiSystem:
self.stats.startMeasurement("Update_live.Quality")
quality = self.qoiSystem.addData(self.getSensorDescription(), data, self.clock)
self.stats.stopMeasurement("Update_live.Quality")
self.stats.startMeasurement("Update_live.Receiver")
for r in self.receiver:
r.receive(data, self.getSensorDescription(), self.clock, quality)
self.stats.stopMeasurement("Update_live.Receiver")
except Exception as e:
L.e(
"Error while updating sensor (fault recovery)",
self.getSensorDescription().fullSensorID,
str(e),
)
finally:
pass
# if ResourceManagement.args.gentle:
# self.clock.sleep()
except Exception as e:
L.e(
"Error while updating sensor (not fault recovery)",
self.getSensorDescription().fullSensorID,
str(e),
)
else:
pass # no live mode supported
self.stats.stopMeasurement("Update_live")
def nonValueUpdate(self): jsonOb = JSONObject() jsonOb.absoluteValue = self.absoluteValue jsonOb.ratedValue = self.ratedValue jsonOb.unit = self.unit return (self.name, jsonOb)