def publish_split_topic_dsmr_reading(reading: DsmrReading) -> None:
""" Publishes a DSMR reading to a broker, formatted in a separate topic per field name, if set and enabled. """
split_topic_settings = telegram.SplitTopicTelegramMQTTSettings.get_solo()
if not split_topic_settings.enabled:
return
# Default to UTC, but allow local timezone on demand (#463).
if split_topic_settings.use_local_timezone:
reading.convert_to_local_timezone()
publish_split_topic_data(mapping_format=split_topic_settings.formatting,
data_source=reading)
def publish_json_dsmr_reading(reading: DsmrReading) -> None:
""" Publishes a JSON formatted DSMR reading to a broker, if set and enabled. """
json_settings = telegram.JSONTelegramMQTTSettings.get_solo()
if not json_settings.enabled:
return
# Default to UTC, but allow local timezone on demand (#463).
if json_settings.use_local_timezone:
reading.convert_to_local_timezone()
publish_json_data(topic=json_settings.topic,
mapping_format=json_settings.formatting,
data_source=reading)
def compact(dsmr_reading: DsmrReading) -> None:
""" Compacts/converts DSMR readings to consumption data. Optionally groups electricity by minute. """
consumption_settings = ConsumptionSettings.get_solo()
# Grouping by minute requires some distinction and history checking.
reading_start = timezone.datetime.combine(
dsmr_reading.timestamp.date(),
time(hour=dsmr_reading.timestamp.hour,
minute=dsmr_reading.timestamp.minute),
).replace(tzinfo=pytz.UTC)
if consumption_settings.electricity_grouping_type == ConsumptionSettings.ELECTRICITY_GROUPING_BY_MINUTE:
system_time_past_minute = timezone.now(
) >= reading_start + timezone.timedelta(minutes=1)
reading_past_minute_exists = DsmrReading.objects.filter(
timestamp__gte=reading_start +
timezone.timedelta(minutes=1)).exists()
# Postpone until the minute has passed on the system time. And when there are (new) readings beyond this minute.
if not system_time_past_minute or not reading_past_minute_exists:
logger.debug(
'Compact: Waiting for newer readings before grouping data...')
raise CompactorNotReadyError()
# Create consumption records.
_compact_electricity(dsmr_reading=dsmr_reading,
electricity_grouping_type=consumption_settings.
electricity_grouping_type,
reading_start=reading_start)
_compact_gas(dsmr_reading=dsmr_reading,
gas_grouping_type=consumption_settings.gas_grouping_type)
dsmr_reading.processed = True
dsmr_reading.save(update_fields=['processed'])
logger.debug('Compact: Processed reading: %s', dsmr_reading)
def test_ordering(self):
""" Test whether default model sorting is as expected. """
self.assertEqual(DsmrReading()._meta.ordering, ['timestamp'])