def color(self):
sensor = Sensor.query(Sensor.sensor_id == self.sensor_id).fetch(1)[0]
if sensor.type == Sensor.DISTANCE:
if self.value > 8:
return 'red'
elif self.value > 7:
return 'orange'
elif self.value > 6:
return 'gold'
else:
return 'green'
def all_by_hours(cls, sensor_id):
sensor = Sensor.query(Sensor.sensor_id == sensor_id).fetch(1)[0]
hours = []
pair = []
for hour in sensor.hours:
if not pair:
pair += [hour]
else:
hours += pair
pair = []
return SensorData.query(*[start < SensorData.lastmod < stop for start, stop in hours])
def _pre_put_hook(self):
sensor = Sensor.query(Sensor.sensor_id == self.sensor_id).fetch(1)
if not sensor:
sensor = Sensor(sensor_id=self.sensor_id)
sensor.put()
else:
sensor = sensor[0]
# calculate real value
if sensor.type == Sensor.DISTANCE:
v = float(self.raw) / 4096 * 3 * 1.4
self.value = 76.35 * (math.e ** (-3.469 * v)) + 17.3 * (math.e ** (-0.5599 * v))
def last_n_by_hours(cls, sid, limit=None, check_hours=True):
sensor = Sensor.query(Sensor.sensor_id == sid).fetch(1)[0]
if not sensor.hours:
return cls.last_n(sid, limit)
hours = SensorData.opening_hour_pairs(sensor)
logging.info(sensor.hours)
def ok_hour(sd):
if not check_hours:
return True
x = sd.added
t = time(x.hour, x.minute)
for start, stop in hours:
if start < t < stop:
logging.info("{0} < {1} < {2}; {3}".format(start, t, stop, sd))
return True
logging.info("NOT INSIDE {0}; {1}".format(t, sd))
return False
sdata = filter(ok_hour, SensorData.query(Sensor.sensor_id == sid).order(-SensorData.added).fetch())
def dt_between(start, stop, time):
logging.info("dt_between(start={0}, stop={1}, time={2})".format(start, stop, time))
ret = []
s = start
logging.info("pre; {0} < {1}".format(s, stop))
while s < stop:
logging.info("{0} < {1}".format(s, stop))
r = s
r = r.replace(hour=time.hour, minute=time.minute, second=0, microsecond=1)
ret += [r]
s += timedelta(days=1)
return ret
if check_hours:
start, stop = sdata[-1].added, sdata[0].added
for pair in hours:
logging.info("pair in hours; {0}; {1}".format(pair, hours))
logging.info("dt_between; {0}".format(dt_between(start, stop, pair[0])))
for t in zip(dt_between(start, stop, pair[0]), dt_between(start, stop, pair[1])):
logging.info("zip {0}".format(t))
if t:
# add null values to make gaps in the graph
s1 = SensorData()
s1.added = t[0] + timedelta(seconds=1)
s1.lastmod = s1.added
s1.sensor_id = sdata[0].sensor_id
s2 = SensorData()
s2.added = t[1] - timedelta(seconds=1)
s2.lastmod = s2.added
s2.sensor_id = sdata[0].sensor_id
logging.info("adding zeroed SensorData {0}; {1}".format(s1, s2))
sdata += [s1, s2]
sdata = sorted(sdata, key=lambda a: a.added, reverse=True)
return sdata
return SensorData.query(Sensor.sensor_id == sid,
ndb.OR(
*[ndb.AND(start < SensorData.lastmod, SensorData.lastmod < stop)
for start, stop in hours]))
def sensor(self):
return Sensor.query(Sensor.sensor_id == self.sensor_id).fetch(1)[0]