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A Python library for the Itron / Actaris IFLAG and Corus protocol

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iflag

A Python library for the Itron / Actaris IFLAG and Corus protocol

Installing

Install via pip, python 3.6+ only

pip install iflag

About

iflag is a library focused on reading and writing data to devices using the IFLAG or Corus protocol. Mainly Itron / Actaris gas volume converters. Communication is done over TCP/IP

Features

The library is now only focused on using Single Address Mode (SAM) of the Corus protocol to access data. SEVC-D parameters of I-FLAG is not supported.

  • Read parameters
  • Write parameters
  • Read databases (logs), event log not yet implemented

Usage

  • Different firmware versions have different ID for each parameter. But the parameter_id_map is always on id 0x5e. So the mapping should be known beforehand or it should be read from the device before reading more values.

  • Different firmware versions also have different database record layout. You will need to supply a mapping of how the databases looks like for the meters you want to read. A default mapping is not supplied since it would infer opinionated interpretation of some values.

    You should create a mapping like: Dict[str, Dict[int, List[DatabaseRecordParameter]]] interval is the database and 52 is the length of the database record. A list of DatabaseRecordParameter in the order they are appearing in the data base record will make it possible to convert the bytes into python values.

    Ex:

  {
    "interval": {
        52: [
            DatabaseRecordParameter(name="record_duration", data_class=data.Byte),
            DatabaseRecordParameter(name="status", data_class=data.Byte),
            DatabaseRecordParameter(name="end_date", data_class=data.Date),
            DatabaseRecordParameter(
                name="consumption_interval_unconverted",
                data_class=data.Word,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="consumption_interval_converted",
                data_class=data.ULong,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="counter_interval_unconverted",
                data_class=data.Word,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="counter_interval_converted",
                data_class=data.ULong,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="temperature_interval_minimum", data_class=data.Float1
            ),
            DatabaseRecordParameter(
                name="temperature_interval_maximum", data_class=data.Float1
            ),
            DatabaseRecordParameter(
                name="temperature_interval_average", data_class=data.Float1
            ),
            DatabaseRecordParameter(
                name="pressure_interval_minimum", data_class=data.Float2
            ),
            DatabaseRecordParameter(
                name="pressure_interval_maximum", data_class=data.Float2
            ),
            DatabaseRecordParameter(
                name="pressure_interval_average", data_class=data.Float2
            ),
            DatabaseRecordParameter(
                name="flowrate_unconverted_interval_minimum",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="flowrate_unconverted_interval_maximum",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="flowrate_converted_interval_minimum",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="flowrate_converted_interval_maximum",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(name="none_data_1", data_class=data.Null4),
            DatabaseRecordParameter(
                name="flowrate_unconverted_interval_average",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(
                name="flowrate_converted_interval_average",
                data_class=data.Float3,
                affected_by_pulse_input=True,
            ),
            DatabaseRecordParameter(name="start_date", data_class=data.Date),
            DatabaseRecordParameter(name="none_data_2", data_class=data.Null2),
        ]
    }
} 
  • Good to know: There are several different float formats due to memory constraints in the protocol and device. All floats are handled as decimal.Decimal in Python to not have float rounding errors.

Read parameters:

from iflag import CorusClient
from iflag.data import CorusString, Index
from iflag.parse import IFlagParameter
from decimal import Decimal

client = CorusClient.with_tcp_transport(address=("localhost", 4000))
# Read single value
client.read_parameters([IFlagParameter(id=0x5e, data_class=CorusString)])
>> {0x5e: "FL_b0040"}
# Read multiple values
client.read_parameters(
    [
        IFlagParameter(id=0x5e, data_class=CorusString), 
        IFlagParameter(id=48, data_class=Index),
        IFlagParameter(id=49, data_class=Index)
    ]
)
>> {0x5e: "FL_b0040", 48: Decimal("234567.982"), 49: Decimal("222222.982")}

Write parameters

from iflag import CorusClient, TcpTransport
from iflag.data import Date
from iflag.parse import IFlagParameter
from datetime import datetime

transport = TcpTransport(address=('localhost', 4000))
client = CorusClient(transport=transport)
client.write_parameters([(IFlagParameter(id=106, data_class=Date), datetime.now())])

Read database

from iflag import CorusClient
from datetime import datetime, timedelta

client = CorusClient.with_tcp_transport(address=('localhost', 4000), database_layout=MY_DATABASE_LAYOUT)
client.read_database(database='interval', start=datetime.now(), stop=(datetime.now() - timedelta(hours=4)))
  • When reading databases you will need to know the input_pulse_weight. If it is not set on the client at initiation or on the read_database call the client will read it from the meter automatically.