def computeIndicators(self,indicator_type,sensor,day_of_computation,ts_from,ts_to):
self.__dataFetcher.compileUrl("viabasse",sensor,ts_from,ts_to)
if self.__dataFetcher.call() == 1 and self.__dataFetcher.getStatusCode() == 200:
data = self.__dataFetcher.getJson()
min_value = Statistic(day=day_of_computation,k="min_temp",v=10000.0,sensor=sensor,type=indicator_type)
max_value = Statistic(day=day_of_computation,k="max_temp",v=-10000.0,sensor=sensor,type=indicator_type)
sum_value = 0
count_value = 0
for line in data:
if line["temperature"] < min_value.v:
min_value.v = float(line["temperature"])
min_value.when = datetime.fromtimestamp((int(line["timestamp"])/1000))
if line["temperature"] > max_value.v:
max_value.v = float(line["temperature"])
max_value.when = datetime.fromtimestamp((int(line["timestamp"])/1000))
sum_value = sum_value + line["temperature"]
count_value = count_value + 1
avg_value = Statistic(day=day_of_computation,k="avg_temp",v=round(sum_value/count_value,2),sensor=sensor,type=indicator_type)
range_value = Statistic(day=day_of_computation,k="range_temp",v=max_value.v-min_value.v,sensor=sensor,type=indicator_type)
return {'min':min_value,'max':max_value,'avg':avg_value,'range':range_value}
else:
return None
def stats(request, sensor):
yesterday = date.today()-timedelta(1)
tmp_ts_from = int(mktime(yesterday.timetuple()))
print tmp_ts_from
tmp_ts_to = tmp_ts_from + 24*60*60
ts_from = tmp_ts_from * 1000
ts_to = tmp_ts_to * 1000
result = makeRequest(
sensor,
ts_from,
ts_to
)
if result.status_code == 200:
data = json.loads(result.content)
min_value = Statistic(day=datetime.fromtimestamp(tmp_ts_from).date(),k="min_temp",v=10000.0,sensor=sensor)
max_value = Statistic(day=datetime.fromtimestamp(tmp_ts_from).date(),k="max_temp",v=-10000.0,sensor=sensor)
sum_value = 0
count_value = 0
for line in data:
if line["temperature"] < min_value.v:
min_value.v = float(line["temperature"])
min_value.when = datetime.fromtimestamp((int(line["timestamp"])/1000)+settings.TMZDIFF)
if line["temperature"] > max_value.v:
max_value.v = float(line["temperature"])
max_value.when = datetime.fromtimestamp((int(line["timestamp"])/1000)+settings.TMZDIFF)
sum_value = sum_value + line["temperature"]
count_value = count_value + 1
avg_value = Statistic(day=datetime.fromtimestamp(tmp_ts_from).date(),k="avg_temp",v=round(sum_value/count_value,2),sensor=sensor)
db.put(min_value)
db.put(max_value)
db.put(avg_value)
return HttpResponse("min: {}, max: {}, avg: {}".format(min_value.v,max_value.v,avg_value.v))
