def config_sensors_change(self, mode, id):
if mode == 'add' and 'module' not in request.args:
if request.method == 'POST':
filename = OS().upload_file('sensors/', 'file');
return self._get_module_chooser("Add Sensor", "/config/sensors/add", "sensors", "Sensor")
data = {
"edit": (mode == 'edit'),
"mode": mode,
"sensor": None,
"sensor_impl": None,
"sensor_module": None,
"modules": OS().get_classes("sensors", "Sensor")
}
if mode == 'edit' and id is not None:
sensor = Sensors().get(id)
data['sensor'] = sensor
data['sensor_module'] = sensor.get_classpath()
data['sensor_impl'] = sensor.get_sensor_impl()
elif mode == 'add':
data['sensor_module'] = request.args.get('module')
data['sensor_impl'] = OS().create_object(data['sensor_module'])
return self.get_view('config_sensor_change.html').data(data)
def calc_trend(self, sensor, location = None):
data = {
"since": None,
"until": None,
"timedelta": None,
"change_abs": 0,
"change_perhour": 0,
"description": "No change computable"
}
if location is None:
location = ConfigManager.Instance().get_location()
from models.sensors import Sensors
sensorObj = Sensors().get(sensor)
if sensorObj is None:
return None
t = Transform()
precision = 2
high_precision = 3
sensor_impl = sensorObj.get_sensor_impl()
if sensor_impl is not None:
precision = sensor_impl.low_precision()
high_precision = sensor_impl.high_precision()
last = self.get_last({
"sensor": [sensor],
"location": [location],
"limit": 1000,
"quality": 0.5
})
if len(last) < 3:
return data # Not enough data for calculation
# Calculate whether its ascending or descending
direction = 0
old = t.round(last[0].get_value(), precision)
older = t.round(last[1].get_value(), precision)
oldest = t.round(last[2].get_value(), precision)
if oldest > older and older > old and old != oldest:
direction = -1 # descending
if oldest <= older and older <= old and old != oldest:
direction = 1 # ascending
if direction == 0:
return data # No trend
# Find how long the trend is
outliers = 0
pivot = 0
prev_is_outlier = False
i = 0
# Iterate over all elements until we have two outliers in a row, elements are getting older with increasing index
while i < len(last)-1 and outliers < 2:
i += 1
this = t.round(last[i-1].get_value(), precision)
prev = t.round(last[i].get_value(), precision)
# Check whether values are equal or are getting smaller/larger
if (direction == 1 and prev <= this) or (direction == -1 and prev >= this):
# If the elemts are equal...
if (prev == this):
# check if the previous entry was an outlier and if this one is the same value, end loop as we reached two outliers
if prev_is_outlier is True:
break
# Value is smaller or larger
else:
pivot = i
# If previous element was not an outlier, we can decrease the number of outliers
if prev_is_outlier is False:
outliers -= 1
# We detected an outlier
else:
outliers += 1
prev_is_outlier = True
newest = last[0]
oldest = last[pivot]
data['oldest'] = oldest
data['newest'] = newest
data['timedelta'] = newest.get_datetime() - oldest.get_datetime()
hourdelta = data['timedelta'].total_seconds() / (60*60)
hours = int(hourdelta)
minutes = int((hourdelta - hours) * 60)
data['change_abs'] = t.round(abs(newest.get_value() - oldest.get_value()) * direction, high_precision)
data['change_perhour'] = t.round(data['change_abs'] / hourdelta, high_precision)
if direction == -1:
data['description'] = 'Descreasing'
else:
data['description'] = 'Increasing'
data['description'] += ' since '
if hours > 0:
data['description'] += str(hours) + ' hours '
data['description'] += str(minutes) + ' minutes by ' + str(abs(data['change_perhour'])) + ' ' + sensorObj.get_unit() + '/h'
return data