Esempio n. 1
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 def test_to_str_static(self, val: HtParamValueType, data_type: HtDataTypes,
                        exp_str: str):
     if exp_str is None:
         with pytest.raises(TypeError):
             HtParam.to_str(val, data_type)
     else:
         assert HtParam.to_str(val, data_type) == exp_str
Esempio n. 2
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 async def test_validate_param(self, hthp: AioHtHeatpump, name: str,
                               param: HtParam):
     await hthp.send_request_async(param.cmd())
     resp = await hthp.read_response_async()
     m = re.match(
         r"^{},.*NAME=([^,]+).*VAL=([^,]+).*MAX=([^,]+).*MIN=([^,]+).*$".
         format(param.cmd()),
         resp,
     )
     assert (
         m is not None
     ), "invalid response for query of parameter {!r} [{!r}]".format(
         name, resp)
     dp_name = m.group(1).strip()
     assert (
         dp_name == name
     ), "data point name doesn't match with the parameter name {!r} [{!r}]".format(
         name, dp_name)
     dp_value = param.from_str(m.group(2))
     assert dp_value is not None, "data point value must not be None [{}]".format(
         dp_value)
     dp_max = param.from_str(m.group(3))
     assert (
         dp_max == param.max_val
     ), "data point max value doesn't match with the parameter's one {!s} [{!s}]".format(
         param.max_val, dp_max)
     dp_min = param.from_str(m.group(4))
     if name == "Verdichter laeuft seit" and dp_min == 10:
         dp_min = 0  # seems to be incorrect for the data point "Verdichter laeuft seit" [10 == 0]
     assert (
         dp_min == param.min_val
     ), "data point min value doesn't match with the parameter's one {!s} [{!s}]".format(
         param.min_val, dp_min)
Esempio n. 3
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 def test_from_str_static(
     self,
     s: str,
     data_type: HtDataTypes,
     exp_value: Optional[HtParamValueType],
     strict: bool,
 ):
     if exp_value is None:
         with pytest.raises((TypeError, ValueError)):
             HtParam.from_str(s, data_type, strict)
     else:
         assert HtParam.from_str(s, data_type, strict) == exp_value
Esempio n. 4
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 async def test_get_param(self, hthp: AioHtHeatpump, name: str, param: HtParam):
     value = await hthp.get_param_async(name)
     assert value is not None, "'value' must not be None"
     assert param.in_limits(value)
Esempio n. 5
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 def test_check_value_type_raises_TypeError(self, val, data_type):
     with pytest.raises(TypeError):
         HtParam.check_value_type(val, data_type)
Esempio n. 6
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 def test_check_value_type(self, val, data_type):
     HtParam.check_value_type(val, data_type)
Esempio n. 7
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 def test_in_limits_None(self, param: HtParam):
     assert param.in_limits(None)
Esempio n. 8
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 def test_in_limits(self, name: str, param: HtParam):
     assert param.in_limits(param.min_val)
     assert param.in_limits(param.max_val)
Esempio n. 9
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 def test_set_limits_raises_TypeError(self, data_type, min_val, max_val):
     param = HtParam("MP", 123, "r-", data_type)
     with pytest.raises(TypeError):
         param.set_limits(min_val, max_val)
Esempio n. 10
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 def test_set_limits(self, name: str, param: HtParam):
     assert not param.set_limits(param.min_val, param.max_val)
Esempio n. 11
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 def test_to_str_member(self, param: HtParam):
     assert param.to_str(param.min_val) == HtParam.to_str(
         param.min_val, param.data_type)  # type: ignore
     assert param.to_str(param.max_val) == HtParam.to_str(
         param.max_val, param.data_type)  # type: ignore
Esempio n. 12
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 def test_from_str_member(self, param: HtParam):
     assert param.from_str(param.to_str(
         param.min_val)) == param.min_val  # type: ignore
     assert param.from_str(param.to_str(
         param.max_val)) == param.max_val  # type: ignore
Esempio n. 13
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 def test_from_str_static_assert(self, data_type):
     with pytest.raises(AssertionError):
         HtParam.from_str("", data_type)
Esempio n. 14
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def main():
    parser = argparse.ArgumentParser(
        description=textwrap.dedent("""\
            Command line tool to create a complete list of all Heliotherm heat pump parameters.

            Example:

              $ python3 htcomplparams.py --device /dev/ttyUSB1 --baudrate 9600 --csv
              connected successfully to heat pump with serial number 123456
              software version = 3.0.20 (273)
              'SP,NR=0' [Language]: VAL=0, MIN=0, MAX=4 (dtype=INT)
              'SP,NR=1' [TBF_BIT]: VAL=0, MIN=0, MAX=1 (dtype=BOOL)
              'SP,NR=2' [Rueckruferlaubnis]: VAL=1, MIN=0, MAX=1 (dtype=BOOL)
              ...
              write data to: /home/pi/prog/htheatpump/htparams-123456-3_0_20-273.csv
            """),
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog=textwrap.dedent("""\
            DISCLAIMER
            ----------

              Please note that any incorrect or careless usage of this program as well as
              errors in the implementation can damage your heat pump!

              Therefore, the author does not provide any guarantee or warranty concerning
              to correctness, functionality or performance and does not accept any liability
              for damage caused by this program or mentioned information.

              Thus, use it on your own risk!
            """) + "\r\n",
    )

    parser.add_argument(
        "-d",
        "--device",
        default="/dev/ttyUSB0",
        type=str,
        help=
        "the serial device on which the heat pump is connected, default: %(default)s",
    )

    parser.add_argument(
        "-b",
        "--baudrate",
        default=115200,
        type=int,
        # the supported baudrates of the Heliotherm heat pump (HP08S10W-WEB):
        choices=[9600, 19200, 38400, 57600, 115200],
        help=
        "baudrate of the serial connection (same as configured on the heat pump), default: %(default)s",
    )

    parser.add_argument(
        "-c",
        "--csv",
        type=str,
        help="write the result to the specified CSV file",
        nargs="?",
        const="",
    )

    parser.add_argument("-t",
                        "--time",
                        action="store_true",
                        help="measure the execution time")

    parser.add_argument(
        "-v",
        "--verbose",
        action="store_true",
        help="increase output verbosity by activating logging",
    )

    parser.add_argument(
        "--max-retries",
        default=2,
        type=int,
        choices=range(11),
        help=
        "maximum number of retries for a data point request (0..10), default: %(default)s",
    )

    args = parser.parse_args()

    # activate logging with level DEBUG in verbose mode
    log_format = "%(asctime)s %(levelname)s [%(name)s|%(funcName)s]: %(message)s"
    if args.verbose:
        logging.basicConfig(level=logging.DEBUG, format=log_format)
    else:
        logging.basicConfig(level=logging.WARNING, format=log_format)

    hp = HtHeatpump(args.device, baudrate=args.baudrate)
    try:
        hp.open_connection()
        hp.login()

        rid = hp.get_serial_number()
        print("connected successfully to heat pump with serial number {:d}".
              format(rid))
        ver = hp.get_version()
        print("software version = {} ({:d})".format(ver[0], ver[1]))

        result = {}
        with Timer() as timer:
            for dp_type in ("SP", "MP"):  # for all known data point types
                result.update({dp_type: {}})
                i = 0  # start at zero for each data point type
                while True:
                    success = False
                    retry = 0
                    while not success and retry <= args.max_retries:
                        data_point = "{},NR={:d}".format(dp_type, i)
                        # send request for data point to the heat pump
                        hp.send_request(data_point)
                        # ... and wait for the response
                        try:
                            resp = hp.read_response()
                            # search for pattern "NAME=...", "VAL=...", "MAX=..." and "MIN=..." inside the answer
                            m = re.match(
                                r"^{},.*NAME=([^,]+).*VAL=([^,]+).*MAX=([^,]+).*MIN=([^,]+).*$"
                                .format(data_point),
                                resp,
                            )
                            if not m:
                                raise IOError(
                                    "invalid response for query of data point {!r} [{}]"
                                    .format(data_point, resp))
                            # extract name, value, min and max
                            name, value, min_val, max_val = (
                                g.strip() for g in m.group(1, 2, 4, 3))
                            # determine the data type of the data point
                            dtype = None
                            try:
                                min_val = HtParam.from_str(
                                    min_val, HtDataTypes.INT)
                                max_val = HtParam.from_str(
                                    max_val, HtDataTypes.INT)
                                value = HtParam.from_str(
                                    value, HtDataTypes.INT)
                                dtype = "INT"
                                if min_val == 0 and max_val == 1 and value in (
                                        0, 1):
                                    dtype = "BOOL"
                            except ValueError:
                                min_val = HtParam.from_str(min_val,
                                                           HtDataTypes.FLOAT,
                                                           strict=False)
                                max_val = HtParam.from_str(max_val,
                                                           HtDataTypes.FLOAT,
                                                           strict=False)
                                value = HtParam.from_str(value,
                                                         HtDataTypes.FLOAT,
                                                         strict=False)
                                dtype = "FLOAT"
                            assert dtype is not None
                            # print the determined values
                            print(
                                "{!r} [{}]: VAL={}, MIN={}, MAX={} (dtype={})".
                                format(data_point, name, value, min_val,
                                       max_val, dtype))
                            # store the determined data in the result dict
                            result[dp_type].update({
                                i: {
                                    "name": name,
                                    "value": value,
                                    "min": min_val,
                                    "max": max_val,
                                    "dtype": dtype,
                                }
                            })
                            success = True
                        except Exception as e:
                            retry += 1
                            _LOGGER.warning(
                                "try #%d/%d for query of data point '%s' failed: %s",
                                retry,
                                args.max_retries + 1,
                                data_point,
                                e,
                            )
                            # try a reconnect, maybe this will help
                            hp.reconnect()  # perform a reconnect
                            try:
                                hp.login(max_retries=0)  # ... and a new login
                            except Exception:
                                pass  # ignore a potential problem
                    if not success:
                        _LOGGER.error(
                            "query of data point '%s' failed after %d try/tries",
                            data_point,
                            retry,
                        )
                        break
                    else:
                        i += 1
        exec_time = timer.elapsed

        if args.csv is not None:  # write result to CSV file
            filename = args.csv.strip()
            if filename == "":
                filename = os.path.join(
                    os.getcwd(),
                    "htparams-{}-{}-{}.csv".format(rid,
                                                   ver[0].replace(".", "_"),
                                                   ver[1]),
                )
            print("write data to: " + filename)
            with open(filename, "w") as csvfile:
                header = (
                    "# name",
                    "data point type (MP;SP)",
                    "data point number",
                    "acl (r-;-w;rw)",
                    "dtype (BOOL;INT;FLOAT)",
                    "min",
                    "max",
                )
                writer = csv.writer(csvfile, delimiter=",")
                writer.writerow(header)
                for dp_type, content in sorted(result.items()):
                    for i, data in content.items():
                        row_data = (
                            data["name"],
                            dp_type,
                            str(i),
                            "r-",
                            data["dtype"],
                            str(data["min"]),
                            str(data["max"]),
                        )
                        writer.writerow(row_data)

        # print execution time only if desired
        if args.time:
            print("execution time: {:.2f} sec".format(exec_time))

    except Exception as ex:
        _LOGGER.exception(ex)
        sys.exit(1)
    finally:
        hp.logout()  # try to logout for an ordinary cancellation (if possible)
        hp.close_connection()

    sys.exit(0)