def RecordDrink(self, tap_name, ticks, volume_ml=None, username=None,
pour_time=None, duration=0, auth_token=None, spilled=False,
shout='', tick_time_series='', do_postprocess=True):
tap = self._GetTapFromName(tap_name)
if not tap:
raise backend.BackendError("Tap unknown")
if volume_ml is None:
volume_ml = float(ticks) * tap.ml_per_tick
user = None
if username:
user = self._GetUserObjFromUsername(username)
elif self._site.settings.default_user:
user = self._site.settings.default_user
if not pour_time:
pour_time = datetime.datetime.now()
keg = None
if tap.current_keg and tap.current_keg.status == 'online':
keg = tap.current_keg
if spilled:
if not keg:
self._logger.warning('Got spilled pour for tap missing keg; ignoring')
return
keg.spilled_ml += volume_ml
keg.save()
return
if tick_time_series:
try:
# Validate the time series by parsing it; canonicalize it by generating
# it again. If malformed, just junk it; it's non-essential information.
tick_time_series = time_series.to_string(time_series.from_string(tick_time_series))
except ValueError, e:
self._logger.warning('Time series invalid, ignoring. Error was: %s' % e)
tick_time_series = ''
def testTimeSeries(self):
s = " 0:12 45:6789 "
expected = [ (0, 12), (45, 6789) ]
self.assertEqual(expected, time_series.from_string(s))
self.assertEqual(s.strip(), time_series.to_string(expected))
def record_drink(self, tap, ticks, volume_ml=None, username=None,
pour_time=None, duration=0, shout='', tick_time_series='', photo=None,
spilled=False):
"""Records a new drink against a given tap.
The tap must have a Keg assigned to it (KegTap.current_keg), and the keg
must be active.
Args:
tap: A KegTap or matching meter name.
ticks: The number of ticks observed by the flow sensor for this drink.
volume_ml: The volume, in milliliters, of the pour. If specifed, this
value is saved as the Drink's actual value. If not specified, a
volume is computed based on `ticks` and the meter's
`ticks_per_ml` setting.
username: The username with which to associate this Drink, or None for
an anonymous Drink.
pour_time: The datetime of the drink. If not supplied, the current
date and time will be used.
duration: Number of seconds it took to pour this Drink. This is
optional information not critical to the record.
shout: A short comment left by the user about this Drink. Optional.
tick_time_series: Vector of flow update data, used for diagnostic
purposes.
spilled: If drink is recorded as spill, the volume is added to spilled_ml
and the "drink" is not saved as an event.
Returns:
The newly-created Drink instance.
"""
tap = self._get_tap(tap)
if not tap.is_active or not tap.current_keg:
raise exceptions.BackendError("No active keg at this tap")
keg = tap.current_keg
if spilled:
keg.spilled_ml += volume_ml
keg.save(update_fields=['spilled_ml'])
return None
if volume_ml is None:
meter = tap.current_meter()
if not meter:
raise exceptions.BackendError("Tap has no meter, can't compute volume")
volume_ml = float(ticks) / meter.ticks_per_ml
user = None
if username:
user = self.get_user(username)
else:
user = models.User.objects.get(username='******')
if not pour_time:
pour_time = timezone.now()
if tick_time_series:
try:
# Validate the time series by parsing it; canonicalize it by generating
# it again. If malformed, just junk it; it's non-essential information.
tick_time_series = time_series.to_string(time_series.from_string(tick_time_series))
except ValueError as e:
self._logger.warning('Time series invalid, ignoring. Error was: %s' % e)
tick_time_series = ''
d = models.Drink(ticks=ticks, keg=keg, user=user,
volume_ml=volume_ml, time=pour_time, duration=duration,
shout=shout, tick_time_series=tick_time_series)
models.DrinkingSession.AssignSessionForDrink(d)
d.save()
keg.served_volume_ml += volume_ml
keg.save(update_fields=['served_volume_ml'])
if photo:
pic = models.Picture.objects.create(
image=photo,
user=d.user,
keg=d.keg,
session=d.session
)
d.picture = pic
d.save()
events = models.SystemEvent.build_events_for_drink(d)
tasks.schedule_tasks(events)
self.build_stats(d.id)
signals.drink_recorded.send_robust(sender=self.__class__, drink=d)
return d
def testTimeSeries(self):
s = " 0:12 45:6789 "
expected = [ (0, 12), (45, 6789) ]
self.assertEqual(expected, time_series.from_string(s))
self.assertEqual(s.strip(), time_series.to_string(expected))
