def init_data_for_day(date_time):
for i in range(24):
index_data.append(i)
for sensor_id in sensors:
# process hours
for i in index_data:
dt = datetime(date_time.year, date_time.month, date_time.day, i)
value_data.append(bco.hour_object(dt, sensor_id, i))
label_data.append(get_time_label(i))
# process day for sum values
dt = datetime(date_time.year, date_time.month, date_time.day)
sum_data.append(bco.day_object(dt, sensor_id))
def init_data_for_day(date_time):
for i in range(24):
index_data.append(i)
for sensor_id in sensors:
# process hours
for i in index_data:
dt = datetime(date_time.year, date_time.month, date_time.day, i)
value_data.append(bco.hour_object(dt, sensor_id, i))
label_data.append(get_time_label(i))
# process day for sum values
dt = datetime(date_time.year, date_time.month, date_time.day)
sum_data.append(bco.day_object(dt, sensor_id))
def init_data_for_month(date_time):
for i in range(get_days(date_time.year, date_time.month)):
index_data.append(i)
for sensor_id in sensors:
# process days
for i in index_data:
dt = datetime(date_time.year, date_time.month, i+1)
value_data.append(bco.day_object(dt, sensor_id, i))
label_data.append("%d.%d.%d" % (i+1, date_time.month, date_time.year))
# process month for sum values
dt = datetime(date_time.year, date_time.month, 1)
sum_data.append(bco.month_object(dt, sensor_id))
def init_data_for_day(self):
for i in range(24):
self.index_data.append(i)
self.label_data.append(self.get_time_label(i))
self.chart_label.append(str(i))
for sensor_id in self.sensors:
# process hours
for i in self.index_data:
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day, i)
self.value_data.append(bco.hour_object(dt, sensor_id, i))
# process day for sum values
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day)
self.sum_data.append(bco.day_object(dt, sensor_id))
def init_data_for_month(date_time):
for i in range(get_days(date_time.year, date_time.month)):
index_data.append(i)
for sensor_id in sensors:
# process days
for i in index_data:
dt = datetime(date_time.year, date_time.month, i + 1)
value_data.append(bco.day_object(dt, sensor_id, i))
label_data.append("%d.%d.%d" %
(i + 1, date_time.month, date_time.year))
# process month for sum values
dt = datetime(date_time.year, date_time.month, 1)
sum_data.append(bco.month_object(dt, sensor_id))
def init_data_for_day(self):
for i in range(24):
self.index_data.append(i)
self.label_data.append(self.get_time_label(i))
self.chart_label.append(str(i))
for sensor_id in self.sensors:
# process hours
for i in self.index_data:
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day, i)
self.value_data.append(bco.hour_object(dt, sensor_id, i))
# process day for sum values
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day)
self.sum_data.append(bco.day_object(dt, sensor_id))
def init_data_for_month(self):
for i in range(self.get_days(self.date_time.year, self.date_time.month)):
self.index_data.append(i)
self.label_data.append(self.get_day_label(i+1))
self.chart_label.append(str(i+1))
self.url_data.append(self.get_day_url(i+1))
#print self.chart_label
for sensor_id in self.sensors:
# process days
for i in self.index_data:
dt = datetime(self.date_time.year, self.date_time.month, i+1)
self.value_data.append(bco.day_object(dt, sensor_id, i))
# process month for sum values
dt = datetime(self.date_time.year, self.date_time.month, 1)
self.sum_data.append(bco.month_object(dt, sensor_id))
def init_data_for_month(self):
for i in range(self.get_days(self.date_time.year, self.date_time.month)):
self.index_data.append(i)
self.label_data.append(self.get_day_label(i + 1))
self.chart_label.append(str(i + 1))
self.url_data.append(self.get_day_url(i + 1))
# print self.chart_label
for sensor_id in self.sensors:
# process days
for i in self.index_data:
dt = datetime(self.date_time.year, self.date_time.month, i + 1)
self.value_data.append(bco.day_object(dt, sensor_id, i))
# process month for sum values
dt = datetime(self.date_time.year, self.date_time.month, 1)
self.sum_data.append(bco.month_object(dt, sensor_id))
def init_data_for_last24(self):
new_dt = datetime.now()-timedelta(days=1, hours=1)
for i in range(24):
new_dt = new_dt + timedelta(hours=1)
hour = new_dt.hour
self.index_data.append(hour)
self.label_data.append(self.get_time_label(hour))
self.chart_label.append(str(hour))
print new_dt
for sensor_id in self.sensors:
# process hours
for i in self.index_data:
dt = datetime(new_dt.year, new_dt.month, new_dt.day, i)
print dt
self.value_data.append(bco.hour_object(dt, sensor_id, i))
# process day for sum values
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day)
self.sum_data.append(bco.day_object(dt, sensor_id))
def init_data_for_last24(self):
new_dt = datetime.now() - timedelta(days=1, hours=1)
for i in range(24):
new_dt = new_dt + timedelta(hours=1)
hour = new_dt.hour
self.index_data.append(hour)
self.label_data.append(self.get_time_label(hour))
self.chart_label.append(str(hour))
print new_dt
for sensor_id in self.sensors:
# process hours
for i in self.index_data:
dt = datetime(new_dt.year, new_dt.month, new_dt.day, i)
print dt
self.value_data.append(bco.hour_object(dt, sensor_id, i))
# process day for sum values
dt = datetime(self.date_time.year, self.date_time.month, self.date_time.day)
self.sum_data.append(bco.day_object(dt, sensor_id))
def init_day_data(date_time, sensor_id):
day_data.append(bco.day_object(date_time, sensor_id))
def init_day_data(date_time, sensor_id): day_data.append(bco.day_object(date_time, sensor_id))