A library for parsing Dutch Smart Meter Requirements (DSMR) telegram data. It also includes client implementation to directly read and parse smart meter data.
DSMR Parser supports DSMR versions 2, 3, 4 and 5. See for the currently supported/tested Python versions here.
Serial client
Read the serial port and work with the parsed telegrams. It should be run in a separate process because the code is blocking (not asynchronous):
from dsmr_parser import telegram_specifications
from dsmr_parser.clients import SerialReader, SERIAL_SETTINGS_V4
serial_reader = SerialReader(
device='/dev/ttyUSB0',
serial_settings=SERIAL_SETTINGS_V4,
telegram_specification=telegram_specifications.V4
)
for telegram in serial_reader.read():
print(telegram) # see 'Telegram object' docs below
Socket client
Read a remote serial port (for example using ser2net) and work with the parsed telegrams. It should be run in a separate process because the code is blocking (not asynchronous):
from dsmr_parser import telegram_specifications
from dsmr_parser.clients import SocketReader
socket_reader = SocketReader(
host='127.0.0.1',
port=2001,
telegram_specification=telegram_specifications.V4
)
for telegram in socket_reader.read():
print(telegram) # see 'Telegram object' docs below
AsyncIO client
For a test run using a tcp server (lasting 20 seconds) use the following example:
import asyncio
import logging
from dsmr_parser import obis_references
from dsmr_parser.clients.protocol import create_dsmr_reader, create_tcp_dsmr_reader
logging.basicConfig(level=logging.INFO, format='%(message)s')
HOST = MY_HOST
PORT = MY_PORT
DSMR_VERSION = MY_DSMR_VERSION
logger = logging.getLogger('tcpclient')
logger.debug("Logger created")
def printTelegram(telegram):
logger.info(telegram)
async def main():
try:
logger.debug("Getting loop")
loop = asyncio.get_event_loop()
logger.debug("Creating reader")
await create_tcp_dsmr_reader(
HOST,
PORT,
DSMR_VERSION,
printTelegram,
loop
)
logger.debug("Reader created going to sleep now")
await asyncio.sleep(20)
logger.info('Finished run')
except Exception as e:
logger.error("Unexpected error: "+ e)
asyncio.run(main())
Note the creation of a callback function to call when a telegram is received. In this case printTelegram. Normally the used loop is the one running.
Currently the asyncio implementation does not support returning telegram objects directly as a read_as_object() for async tcp is currently not implemented. Moreover, the telegram passed to telegram_callback(telegram) is already parsed. Therefore we can't feed it into the telegram constructor directly as that expects unparsed telegrams
However, if we construct a mock TelegramParser that just returns the already parsed object we can work around this. An example is below:
import asyncio
import logging
#from dsmr_parser import obis_references
#from dsmr_parser import telegram_specifications
#from dsmr_parser.clients.protocol import create_dsmr_reader, create_tcp_dsmr_reader
#from dsmr_parser.objects import Telegram
logging.basicConfig(level=logging.INFO, format='%(message)s')
HOST = MY_HOST
PORT = MY_PORT
DSMR_VERSION = MY_DSMR_VERSION
logger = logging.getLogger('tcpclient')
logger.debug("Logger created")
class mockTelegramParser(object):
def parse(self, telegram):
return telegram
telegram_parser = mockTelegramParser()
def printTelegram(telegram):
try:
logger.info(Telegram(telegram, telegram_parser, telegram_specifications.V4))
except InvalidChecksumError as e:
logger.warning(str(e))
except ParseError as e:
logger.error('Failed to parse telegram: %s', e)
async def main():
try:
logger.debug("Getting loop")
loop = asyncio.get_event_loop()
logger.debug("Creating reader")
await create_tcp_dsmr_reader(
HOST,
PORT,
DSMR_VERSION,
printTelegram,
loop
)
logger.debug("Reader created going to sleep now")
while True:
await asyncio.sleep(1)
except Exception as e:
logger.error("Unexpected error: "+ e)
raise
if __name__ == '__main__':
try:
asyncio.run(main())
except (KeyboardInterrupt, SystemExit):
logger.info('Closing down...')
except Exception as e:
logger.error("Unexpected error: "+ e)
The parsing module accepts complete unaltered telegram strings and parses these into a dictionary.
from dsmr_parser import telegram_specifications
from dsmr_parser.parsers import TelegramParser
# String is formatted in separate lines for readability.
telegram_str = (
'/ISk5\\2MT382-1000\r\n'
'\r\n'
'0-0:96.1.1(4B384547303034303436333935353037)\r\n'
'1-0:1.8.1(12345.678*kWh)\r\n'
'1-0:1.8.2(12345.678*kWh)\r\n'
'1-0:2.8.1(12345.678*kWh)\r\n'
'1-0:2.8.2(12345.678*kWh)\r\n'
'0-0:96.14.0(0002)\r\n'
'1-0:1.7.0(001.19*kW)\r\n'
'1-0:2.7.0(000.00*kW)\r\n'
'0-0:17.0.0(016*A)\r\n'
'0-0:96.3.10(1)\r\n'
'0-0:96.13.1(303132333435363738)\r\n'
'0-0:96.13.0(303132333435363738393A3B3C3D3E3F303132333435363738393A3B3C3D3E'
'3F303132333435363738393A3B3C3D3E3F303132333435363738393A3B3C3D3E3F30313233'
'3435363738393A3B3C3D3E3F)\r\n'
'0-1:96.1.0(3232323241424344313233343536373839)\r\n'
'0-1:24.1.0(03)\r\n'
'0-1:24.3.0(090212160000)(00)(60)(1)(0-1:24.2.1)(m3)\r\n'
'(00001.001)\r\n'
'0-1:24.4.0(1)\r\n'
'!\r\n'
)
parser = TelegramParser(telegram_specifications.V3)
telegram = parser.parse(telegram_str)
print(telegram) # see 'Telegram object' docs below
A dictionary of which the key indicates the field type. These regex values correspond to one of dsmr_parser.obis_reference constants.
The value is either a CosemObject or MBusObject. These have a 'value' and 'unit' property. MBusObject's additionally have a 'datetime' property. The 'value' can contain any python type (int, str, Decimal) depending on the field. The 'unit' contains 'kW', 'A', 'kWh' or 'm3'.
# Contents of a parsed DSMR v3 telegram
{'\\d-\\d:17\\.0\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39eb8>,
'\\d-\\d:1\\.7\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10f916390>,
'\\d-\\d:1\\.8\\.1.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39e10>,
'\\d-\\d:1\\.8\\.2.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39ef0>,
'\\d-\\d:24\\.1\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fbaef28>,
'\\d-\\d:24\\.3\\.0.+?\\r\\n.+?\\r\\n': <dsmr_parser.objects.MBusObject object at 0x10f9163c8>,
'\\d-\\d:24\\.4\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39f60>,
'\\d-\\d:2\\.7\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39fd0>,
'\\d-\\d:2\\.8\\.1.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fbaee10>,
'\\d-\\d:2\\.8\\.2.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39e80>,
'\\d-\\d:96\\.13\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39d30>,
'\\d-\\d:96\\.13\\.1.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fbaeeb8>,
'\\d-\\d:96\\.14\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fbaef98>,
'\\d-\\d:96\\.1\\.0.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fbaef60>,
'\\d-\\d:96\\.1\\.1.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39f98>,
'\\d-\\d:96\\.3\\.10.+?\\r\\n': <dsmr_parser.objects.CosemObject object at 0x10fc39dd8>}
Example to get some of the values:
from dsmr_parser import obis_references
# The telegram message timestamp.
message_datetime = telegram[obis_references.P1_MESSAGE_TIMESTAMP]
# Using the active tariff to determine the electricity being used and
# delivered for the right tariff.
active_tariff = telegram[obis_references.ELECTRICITY_ACTIVE_TARIFF]
active_tariff = int(tariff.value)
electricity_used_total = telegram[obis_references.ELECTRICITY_USED_TARIFF_ALL[active_tariff - 1]]
electricity_delivered_total = telegram[obis_references.ELECTRICITY_DELIVERED_TARIFF_ALL[active_tariff - 1]]
gas_reading = telegram[obis_references.HOURLY_GAS_METER_READING]
# See dsmr_reader.obis_references for all readable telegram values.
# Note that the available values differ per DSMR version.
An object version of the telegram is available as well.
# DSMR v4.2 p1 using dsmr_parser and telegram objects
from dsmr_parser import telegram_specifications
from dsmr_parser.clients import SerialReader, SERIAL_SETTINGS_V5
from dsmr_parser.objects import CosemObject, MBusObject, Telegram
from dsmr_parser.parsers import TelegramParser
import os
serial_reader = SerialReader(
device='/dev/ttyUSB0',
serial_settings=SERIAL_SETTINGS_V5,
telegram_specification=telegram_specifications.V4
)
# telegram = next(serial_reader.read_as_object())
# print(telegram)
for telegram in serial_reader.read_as_object():
os.system('clear')
print(telegram)
Example of output of print of the telegram object:
P1_MESSAGE_HEADER: 42 [None]
P1_MESSAGE_TIMESTAMP: 2016-11-13 19:57:57+00:00 [None]
EQUIPMENT_IDENTIFIER: 3960221976967177082151037881335713 [None]
ELECTRICITY_USED_TARIFF_1: 1581.123 [kWh]
ELECTRICITY_USED_TARIFF_2: 1435.706 [kWh]
ELECTRICITY_DELIVERED_TARIFF_1: 0.000 [kWh]
ELECTRICITY_DELIVERED_TARIFF_2: 0.000 [kWh]
ELECTRICITY_ACTIVE_TARIFF: 0002 [None]
CURRENT_ELECTRICITY_USAGE: 2.027 [kW]
CURRENT_ELECTRICITY_DELIVERY: 0.000 [kW]
LONG_POWER_FAILURE_COUNT: 7 [None]
VOLTAGE_SAG_L1_COUNT: 0 [None]
VOLTAGE_SAG_L2_COUNT: 0 [None]
VOLTAGE_SAG_L3_COUNT: 0 [None]
VOLTAGE_SWELL_L1_COUNT: 0 [None]
VOLTAGE_SWELL_L2_COUNT: 0 [None]
VOLTAGE_SWELL_L3_COUNT: 0 [None]
TEXT_MESSAGE_CODE: None [None]
TEXT_MESSAGE: None [None]
DEVICE_TYPE: 3 [None]
INSTANTANEOUS_ACTIVE_POWER_L1_POSITIVE: 0.170 [kW]
INSTANTANEOUS_ACTIVE_POWER_L2_POSITIVE: 1.247 [kW]
INSTANTANEOUS_ACTIVE_POWER_L3_POSITIVE: 0.209 [kW]
INSTANTANEOUS_ACTIVE_POWER_L1_NEGATIVE: 0.000 [kW]
INSTANTANEOUS_ACTIVE_POWER_L2_NEGATIVE: 0.000 [kW]
INSTANTANEOUS_ACTIVE_POWER_L3_NEGATIVE: 0.000 [kW]
EQUIPMENT_IDENTIFIER_GAS: 4819243993373755377509728609491464 [None]
HOURLY_GAS_METER_READING: 981.443 [m3]
Accessing the telegrams information as attributes directly:
telegram
Out[3]: <dsmr_parser.objects.Telegram at 0x7f5e995d9898>
telegram.CURRENT_ELECTRICITY_USAGE
Out[4]: <dsmr_parser.objects.CosemObject at 0x7f5e98ae5ac8>
telegram.CURRENT_ELECTRICITY_USAGE.value
Out[5]: Decimal('2.027')
telegram.CURRENT_ELECTRICITY_USAGE.unit
Out[6]: 'kW'
The telegram object has an iterator, can be used to find all the information elements in the current telegram:
[attr for attr, value in telegram]
Out[11]:
['P1_MESSAGE_HEADER',
'P1_MESSAGE_TIMESTAMP',
'EQUIPMENT_IDENTIFIER',
'ELECTRICITY_USED_TARIFF_1',
'ELECTRICITY_USED_TARIFF_2',
'ELECTRICITY_DELIVERED_TARIFF_1',
'ELECTRICITY_DELIVERED_TARIFF_2',
'ELECTRICITY_ACTIVE_TARIFF',
'CURRENT_ELECTRICITY_USAGE',
'CURRENT_ELECTRICITY_DELIVERY',
'LONG_POWER_FAILURE_COUNT',
'VOLTAGE_SAG_L1_COUNT',
'VOLTAGE_SAG_L2_COUNT',
'VOLTAGE_SAG_L3_COUNT',
'VOLTAGE_SWELL_L1_COUNT',
'VOLTAGE_SWELL_L2_COUNT',
'VOLTAGE_SWELL_L3_COUNT',
'TEXT_MESSAGE_CODE',
'TEXT_MESSAGE',
'DEVICE_TYPE',
'INSTANTANEOUS_ACTIVE_POWER_L1_POSITIVE',
'INSTANTANEOUS_ACTIVE_POWER_L2_POSITIVE',
'INSTANTANEOUS_ACTIVE_POWER_L3_POSITIVE',
'INSTANTANEOUS_ACTIVE_POWER_L1_NEGATIVE',
'INSTANTANEOUS_ACTIVE_POWER_L2_NEGATIVE',
'INSTANTANEOUS_ACTIVE_POWER_L3_NEGATIVE',
'EQUIPMENT_IDENTIFIER_GAS',
'HOURLY_GAS_METER_READING']
To install DSMR Parser:
$ pip install dsmr-parser
If the serial settings SERIAL_SETTINGS_V2_2 or SERIAL_SETTINGS_V4 don't work. Make sure to try and replace the parity settings to EVEN or NONE. It's possible that alternative settings will be added in the future if these settings don't work for the majority of meters.