def getAverageProcessingTimes(self):
job = JSONObject()
job.name = self.name
job.value = self.mean()
if len(self.timeElementMap) > 0:
job.values = []
for element in self.timeElementMap:
if len(self.timeElementMap[element].timeElementMap) > 0:
job.values.append(self.timeElementMap[element].getAverageProcessingTimes())
else:
job2 = JSONObject()
job2.name = element
job2.value = self.timeElementMap[element].mean()
job.values.append(job2)
return job
def valueMapToJson(self, test, joblist, job=None, parent=None):
if not parent:
keys = [key for key in test if "." not in key]
else:
parentString = parent + "."
keys = [key for key in test if parentString in key]
keys = [key for key in keys if "." not in key.split(parentString)[1]]
for key in keys:
job2 = JSONObject()
job2.name = key.split(".")[len(key.split("."))-1]
job2.value = test[key]
if job:
if job.values:
job.values.append(job2)
else:
job.values = []
job.values.append(job2)
else:
joblist.append(job2)
test.pop(key)
if len(test) > 0:
self.valueMapToJson(test, joblist, job2, key)
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 finish(cls):
jobs = JSONObject()
jobs.stats = []
for e in Stats.instances:
job = JSONObject()
job.name = e
job.value = e.getvalue()
jobs.stats.append(job)
return jobs
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)
