def estimate_motion():
"""Saves the motion level of the patient into the ontology"""
clock = graph.value(home["clock"], qol["hasValue"]).toPython()
# set the room motions in the window frame
for room in rooms.values():
room.motion = 0
for sensor in room.sensors:
# We exclude the old states
sensor.on_states = [state for state in sensor.on_states if clock - state <= TIME_WINDOW]
room.motion = room.motion + len(sensor.on_states)
# integrate new updates to the room motions
for uri, sensor in sensors.items():
try:
last_update = graph.value(uri, qol["lastUpdate"]).toPython()
except AttributeError:
last_update = None
if not sensor.on_states or last_update != sensor.on_states[-1]:
state = graph.value(uri, qol["hasCurrentState"])
if state is not None and (state, qol["indicateLocation"], Literal(True)) in graph:
sensor.on_states.append(last_update)
sensor.room.motion = sensor.room.motion + 1
# update the ontology with the room motions
for uri, room in rooms.items():
graph.set((uri, qol["motionMeasured"], Literal(room.motion)))
# update the ontology with the house motion
home_motion = sum([room.motion for room in rooms.values()])
graph.set((house, qol["motionMeasured"], Literal(home_motion)))
def save(eye_dump):
"""Place the euler output into the ontology"""
dump_graph = Graph()
dump_graph.parse(data=eye_dump, format='n3')
ts = Namespace("file://%s/infer-triplestore#" % ONTOLOGY_DIR)
for action, formula in dump_graph.predicate_objects(ts['n3store']):
if action in (ts['update'], ts['add'], ts['remove']):
for s, p, o in formula:
if action == ts['update']:
graph.set((s, p, o))
elif action == ts['add']:
graph.add((s, p, o))
elif action == ts['remove']:
graph.remove((s, p, o))
def save_to_ontology(event):
"""Saving an event into the graph"""
graph.set((home['clock'],
qol['hasValue'],
Literal(event['date'])))
if 'signal' in event:
# if we deal with a sensor event
sparql_event = graph.query(
event_query,
initBindings={'sensorLabel': Literal(event['sensor']),
'stateLabel': Literal(event['signal'])})
for row in sparql_event:
graph.set((row.sensor, qol['lastUpdate'], Literal(event['date'])))
graph.set((row.sensor, qol['hasLastUpdate'], Literal(True)))
graph.set((row.sensor, qol['hasCurrentState'], row.state))
