def _get_app_timeline(self, store, app, reverse=False):
usage_stats = store.query_catalog(Catalog.CATALOG_LOGS,
"usage_stats.usage_stats")
if usage_stats == None: return None
time_stats = {}
for stat in usage_stats.subsection_items:
name = stat.get_subvaluebyname("activity_name")
if name.startswith(app.name) == False: continue
time = stat.get_subvaluebyname("last_run")
if type(time) != int:
if time.isdigit() == False:
print "Non-digit timestamp??"
continue
time = int(time)
if time in time_stats:
time_stats[time].append(name)
else:
time_stats[time] = [name]
sorted_keys = sorted(time_stats.keys(), reverse=reverse)
timeline = Timeline()
for key in sorted_keys:
for stat in time_stats[key]:
timeline.add_item(TimelineItem(stat, "fa-sliders", key))
timeline_items = timeline.get_items()
if len(timeline_items) == 0: return None
return timeline_items
def reset_running_clock(self, *args):
if self.ui_state == UI_STATE.RUNNING_CLOCK:
return
self.ui_state = UI_STATE.RUNNING_CLOCK
self.state.reset_running_clock()
clock = self.state.running_clock.to_timer_clock(self.state.now)
self.reset_and_show_notify(
"Timer is set.", "Count down {}.\nNotify at {}".format(
clock.to_timer_clock(self.state.now),
clock.to_alarm_clock(self.state.now)))
self.alarm_timeline = Timeline(
self.generate_alarm_timeline(clock.duration))
self.alarm_timeline.start()
def parse(self, node):
self.id = int(node.attrib['id'])
self.name = node.attrib['name']
self.length_ms = float(node.attrib['length'])
self.length = self.length_ms / 1000.0
self.loop = node.attrib.get('looping', 'true') != 'false'
for elem in node:
if elem.tag == 'mainline':
self.parse_mainline(elem)
elif elem.tag == 'timeline':
t = Timeline(elem)
self.timeline[t.get_id()] = t
def __init__(self):
self.lightBoard = self.makeLightBoard()
self.ableton = Ableton()
self.timeline = Timeline()
self.filterMin = 60
self.filterMax = 135
self.houseLights = [
1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17, 18, 22
]
self.sideRight = [11, 12, 13, 14]
self.allLightsUsed = [2, 11, 12, 15, 16, 25]
self.allLightsUsedExceptChannelTwo = [11, 12, 15, 16, 25]
self.lightNormal = 75
self.lightMin = 0
self.lightMax = 100
self.startPerformance()
def simulation(start_day=4, start_hour=8, duration_in_days=14 + 7 / 24, seed=3):
"""Runs full simulation and returns log"""
lambdas_vec_weekday, lambdas_vec_weekend, behaviour_freqs, user_behaviour_df, df, prior_a, prior_b, action_time_vec\
= preprocess()
np.random.seed(seed)
sim_log = []
timeline = Timeline(lambdas_vec_weekend, lambdas_vec_weekday, start_day=start_day, duration_in_days=duration_in_days, start_hour=start_hour)
timeline.simulate_server_init_times()
for (i, time) in enumerate(timeline.server_init_times):
user = User(i, time, behaviour_freqs, user_behaviour_df, df, prior_a, prior_b, action_time_vec)
user.interact()
sim_log += user.log
sim_log_df = pd.DataFrame(sim_log, columns=['uId', 'storeId', 'action', 'eventTime']).sort_values('eventTime')
sim_log_df.to_csv('simulation_results.csv')
def create_timeline(self):
self.timeline = Timeline()
return self.timeline
